CA2641107C - Railroad snow removal system - Google Patents
Railroad snow removal system Download PDFInfo
- Publication number
- CA2641107C CA2641107C CA2641107A CA2641107A CA2641107C CA 2641107 C CA2641107 C CA 2641107C CA 2641107 A CA2641107 A CA 2641107A CA 2641107 A CA2641107 A CA 2641107A CA 2641107 C CA2641107 C CA 2641107C
- Authority
- CA
- Canada
- Prior art keywords
- snow removal
- snow
- data
- network according
- location
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000000446 fuel Substances 0.000 claims description 32
- 238000000034 method Methods 0.000 claims description 23
- 238000012544 monitoring process Methods 0.000 claims description 18
- 239000002828 fuel tank Substances 0.000 claims description 7
- 238000010438 heat treatment Methods 0.000 claims description 6
- 239000007789 gas Substances 0.000 description 8
- 239000007788 liquid Substances 0.000 description 7
- 239000003570 air Substances 0.000 description 6
- 230000008859 change Effects 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 4
- 230000001419 dependent effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- ATUOYWHBWRKTHZ-UHFFFAOYSA-N Propane Chemical compound CCC ATUOYWHBWRKTHZ-UHFFFAOYSA-N 0.000 description 2
- 230000009471 action Effects 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000007257 malfunction Effects 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 241000269350 Anura Species 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 239000012080 ambient air Substances 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000001294 propane Substances 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01B—PERMANENT WAY; PERMANENT-WAY TOOLS; MACHINES FOR MAKING RAILWAYS OF ALL KINDS
- E01B19/00—Protection of permanent way against development of dust or against the effect of wind, sun, frost, or corrosion; Means to reduce development of noise
-
- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01H—STREET CLEANING; CLEANING OF PERMANENT WAYS; CLEANING BEACHES; DISPERSING OR PREVENTING FOG IN GENERAL CLEANING STREET OR RAILWAY FURNITURE OR TUNNEL WALLS
- E01H8/00—Removing undesirable matter from the permanent way of railways; Removing undesirable matter from tramway rails
- E01H8/02—Methods or apparatus for removing ice or snow from railway tracks, e.g. using snow-ploughs ; Devices for dislodging snow or ice which are carried or propelled by tramway vehicles ; Moving or removing ballast
- E01H8/08—Methods or apparatus for removing ice or snow from railway tracks, e.g. using snow-ploughs ; Devices for dislodging snow or ice which are carried or propelled by tramway vehicles ; Moving or removing ballast by application of heat, e.g. by means of heated clearing instruments, melting in situ; Clearing devices which melt the dislodged snow; Clearing exclusively by means of rays or streams or gas or stream, or by suction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
- Y02A30/30—Adapting or protecting infrastructure or their operation in transportation, e.g. on roads, waterways or railways
Abstract
A snow removal system wherein snow removers located in remote locations can be monitored and controlled at a computing device. Data collected by sensors on the snow removal unit or data collected from a secondary source can be used to control the operation of the snow removers. In one embodiment, data regarding whether it is snowing at a particular location can be collected by moister sensors on the snow removal device and verified by on-line contemporaneous weather reports corresponding to the same location.
Description
RAILROAD SNOW REMOVAL SYSTEM
Technical Field This invention relates to railroad snow removal systems. More particularly, the present invention relates to a monitoring and control system for a network of snow removal devices.
Background of the Invention During the winter it is not uncommon for snow and ice to accumulate on and around railroad tracks. To maintain optimal track performance it is desirable to keep certain areas of the track free of snow and ice year round. For example, it is particularly desirable to keep the areas where tracks cross each other (frogs) and where tracks merge or split (switches) free of snow and ice. Though the system of the present disclosure will be described herein primarily with reference to railroad track switches, the description is not meant to be limiting. It should be appreciated that the system is applicable to other applications as well.
Railroad track switches are used to divert a train from one train track to another train track. The railroad switches typically include a pair of rails that move from a first position to a second position. The switches typically include moving parts that are exposed to the environment. Snow and ice build-up on the switch can cause the switch to malfunction.
A number of different types of railroad track switch snow removers are known.
See, for example, U.S. Patent No. 5,824,997 to Reichle et al.; U.S. Patent No.
4,391,425 to Keep, Jr.; and U.S. Patent No. 4,081,161 to Upright. The railroad track switch snow remover often includes a blower that blows heated air or ambient air across the switch.
Though some heaters and blowers of the snow removing devices are electric powered, most are gas powered, as they are typically located in remote locations. Sometimes the snow removers include temperature and moisture sensors so that an operator at a remote location can determine when to turn the devices on or off. Some devices are programmed to automatically turn themselves on or off depending on the reading from the sensors.
A problem with the existing systems is that malfunctioning device can be difficult to identify. In some cases, the devices are turned on when it is not snowing or turned off when it is snowing. In the first case, fuel is wasted, and in the second, the switch may malfunction due to undesirable snow accumulation in the tracks. Moreover, existing switch snow removal control systems are not configured to collect, store and/or report data regarding performance and other conditions of the device. A system that can be used to effectively monitor and control snow removal devices located in remote locations is desirable.
Summary of the Invention The present invention relates to a system for controlling and monitoring snow removal devices. According to one aspect of the invention, there is provided a railroad snow removal network comprising:
a plurality of snow removal devices positioned at geographic locations each including a snow removal element, a sensor for detecting snow fall, a transmitter and a processor, wherein each snow removal device is configured to automatically turn on when snow fall is detected;
a computing device including a processor, a transmitter and a receiver, the computing device configured to acquire weather data from a weather reporting source wherein the data corresponds to the geographic locations of the snow removal devices, wherein the computing device is configured to send an alert when a snow removal device is turned off when the weather reporting source indicates that snow is falling at the corresponding location; and a user interface configured to display at least the location of the snow removal device.
In one embodiment, the measured data is compared with the queried data. If the measured data is within a certain predetermined acceptable range compared to the queried weather data, the snow removal device is characterized as being operational.
However, if the sensor reading is outside of a predetermined range the operator is alerted. In an alternative embodiment the query data is processed to determine whether the snow removal device that corresponds with the particular geographic location should be on or off. The base station then
Technical Field This invention relates to railroad snow removal systems. More particularly, the present invention relates to a monitoring and control system for a network of snow removal devices.
Background of the Invention During the winter it is not uncommon for snow and ice to accumulate on and around railroad tracks. To maintain optimal track performance it is desirable to keep certain areas of the track free of snow and ice year round. For example, it is particularly desirable to keep the areas where tracks cross each other (frogs) and where tracks merge or split (switches) free of snow and ice. Though the system of the present disclosure will be described herein primarily with reference to railroad track switches, the description is not meant to be limiting. It should be appreciated that the system is applicable to other applications as well.
Railroad track switches are used to divert a train from one train track to another train track. The railroad switches typically include a pair of rails that move from a first position to a second position. The switches typically include moving parts that are exposed to the environment. Snow and ice build-up on the switch can cause the switch to malfunction.
A number of different types of railroad track switch snow removers are known.
See, for example, U.S. Patent No. 5,824,997 to Reichle et al.; U.S. Patent No.
4,391,425 to Keep, Jr.; and U.S. Patent No. 4,081,161 to Upright. The railroad track switch snow remover often includes a blower that blows heated air or ambient air across the switch.
Though some heaters and blowers of the snow removing devices are electric powered, most are gas powered, as they are typically located in remote locations. Sometimes the snow removers include temperature and moisture sensors so that an operator at a remote location can determine when to turn the devices on or off. Some devices are programmed to automatically turn themselves on or off depending on the reading from the sensors.
A problem with the existing systems is that malfunctioning device can be difficult to identify. In some cases, the devices are turned on when it is not snowing or turned off when it is snowing. In the first case, fuel is wasted, and in the second, the switch may malfunction due to undesirable snow accumulation in the tracks. Moreover, existing switch snow removal control systems are not configured to collect, store and/or report data regarding performance and other conditions of the device. A system that can be used to effectively monitor and control snow removal devices located in remote locations is desirable.
Summary of the Invention The present invention relates to a system for controlling and monitoring snow removal devices. According to one aspect of the invention, there is provided a railroad snow removal network comprising:
a plurality of snow removal devices positioned at geographic locations each including a snow removal element, a sensor for detecting snow fall, a transmitter and a processor, wherein each snow removal device is configured to automatically turn on when snow fall is detected;
a computing device including a processor, a transmitter and a receiver, the computing device configured to acquire weather data from a weather reporting source wherein the data corresponds to the geographic locations of the snow removal devices, wherein the computing device is configured to send an alert when a snow removal device is turned off when the weather reporting source indicates that snow is falling at the corresponding location; and a user interface configured to display at least the location of the snow removal device.
In one embodiment, the measured data is compared with the queried data. If the measured data is within a certain predetermined acceptable range compared to the queried weather data, the snow removal device is characterized as being operational.
However, if the sensor reading is outside of a predetermined range the operator is alerted. In an alternative embodiment the query data is processed to determine whether the snow removal device that corresponds with the particular geographic location should be on or off. The base station then
2 determines whether the snow removal device is in fact on or off. If there is a discrepancy, the base station automatically notifies an operator.
In another embodiment the queried and measured data relate to the operational conditions of the device rather than environmental conditions. For example, the data may relate to the amount of fuel consumed by the device or amount of fuel remaining in the device. The measured data can be compared with data stored on a database that can be accessed by the base station. If a discrepancy is detected, the operator is alerted.
According to another embodiment the user can monitor and control the device via a computer or a handheld wireless computing device. The data is represented graphically to the operator via icons on a map, and the devices can be controlled by the user remotely.
In another aspect, the invention provides a railroad snow removal monitoring network comprising:
a snow removal device including a heating element, a sensor and a transmitter;
and a computing device including a processor, a transmitter and a receiver, the computing device configured to receive data collected from the sensor of the now removed device and compare the received data with data from a secondary data source that corresponds with the data received from the sensor of the now removed device and send an alert to an operator based on the comparison.
Still another aspect of the invention provides a method of monitoring a plurality of railroad switch snow removal devices, the method comprising:
measuring at least a temperature at a location of a snow removal device to determine if snow is falling at the location;
querying data from a secondary source of weather information for information relating to whether snow is falling at the location;
determining if there is a discrepancy regarding whether snow is falling at the location;
and automatically alerting an operator if a discrepancy is detected.
Yet another aspect of the invention provides a method of monitoring a plurality of railroad switch snow removal devices, the method comprising:
In another embodiment the queried and measured data relate to the operational conditions of the device rather than environmental conditions. For example, the data may relate to the amount of fuel consumed by the device or amount of fuel remaining in the device. The measured data can be compared with data stored on a database that can be accessed by the base station. If a discrepancy is detected, the operator is alerted.
According to another embodiment the user can monitor and control the device via a computer or a handheld wireless computing device. The data is represented graphically to the operator via icons on a map, and the devices can be controlled by the user remotely.
In another aspect, the invention provides a railroad snow removal monitoring network comprising:
a snow removal device including a heating element, a sensor and a transmitter;
and a computing device including a processor, a transmitter and a receiver, the computing device configured to receive data collected from the sensor of the now removed device and compare the received data with data from a secondary data source that corresponds with the data received from the sensor of the now removed device and send an alert to an operator based on the comparison.
Still another aspect of the invention provides a method of monitoring a plurality of railroad switch snow removal devices, the method comprising:
measuring at least a temperature at a location of a snow removal device to determine if snow is falling at the location;
querying data from a secondary source of weather information for information relating to whether snow is falling at the location;
determining if there is a discrepancy regarding whether snow is falling at the location;
and automatically alerting an operator if a discrepancy is detected.
Yet another aspect of the invention provides a method of monitoring a plurality of railroad switch snow removal devices, the method comprising:
3 monitoring whether a snow removal device is actually on or off;
querying data from a weather reporting source and determining whether the snow removal device should be on or off;
determining if there is a discrepancy between whether the snow removal device is actually on or off and whether the snow removal device should be on or off;
and automatically alerting an operator if a discrepancy is detected and continues to exist for a delay period.
Still another aspect of the invention provides a method of monitoring a plurality of railroad switch snow removal devices, the method comprising:
measuring at least a temperature at a location of a snow removal device to determine if snow is falling at the location;
querying data from a secondary source of weather information for information relating to whether snow is falling at the location;
determining if there is a discrepancy regarding whether snow is falling at the location;
and automatically alerting an operator after a discrepancy is detected and continues to exist for a delay period.
A variety of additional inventive aspects will be set forth in the description that follows. The inventive aspects can relate to an individual feature or to a combination of features. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the broad inventive concepts upon which the embodiments disclosed herein are based.
Brief Description of the Drawings Figure 1 is a flow chart of a method of monitoring and controlling railroad switch snow removal devices in accordance with an embodiment of the invention;
Figure 2 is a flow chart of an alternative method of monitoring and controlling railroad switch snow removal devices in accordance with an embodiment of the invention;
3a Figure 3 depicts the network including a plurality of railroad switch snow removal devices according to an embodiment of the invention;
Figure 4 is a schematic block diagram of a snow removal control unit according to an embodiment of the invention;
Figure 5 depicts a user interface according to an embodiment of the invention;
3b Figure 6 is a schematic illustration of a fuel tank monitoring system according to one embodiment of the invention;
Figure 7 is a schematic illustration of several possible scenarios that are used to describe the operations of the invention;
Figure 8 is a screen shot that displays a summary of the operating conditions of related snow melters according to an embodiment of the invention;
Figure 9 is a screen shot that displays the detailed operating conditions of a selected snow melter according to an embodiment of the invention;
Figure 10 is a screen shot that displays the control modes and on/off parameters of a selected snow melter according to an embodiment of the invention;
Figure 11 is a screen shot that displays user rights to snow melters according to an embodiment of the invention;
Figure 12 is a screen shot that displays fault notifications of snow melters according to an embodiment of the invention;
Figure 13 is a screen shot that displays the location and identification of snow melters according to an embodiment of the invention;
Figure 14 is a schematic diagram of an embodiment of the network according to the present disclosure; and Figure 15 is a schematic diagram of the embodiment of the network shown if Figure 14.
Detailed Description of the Preferred Embodiment Referring primarily to figures 1 and 3, a method of monitoring railroad switch snow removal devices 200 is shown. The first step includes identifying 10 a device and checking if the device 200 (shown schematically in figure 4) is on or off. In some embodiments the geographic location is stored at the base station 202 corresponding to a particular device identification number.
In another embodiment the geographic location is stored at a memory location 301 at snow removal device 200. The geographic location can be any number of references. In some embodiments, the geographic location is identified as specific geographic coordinates (e.g., longitude and latitude), while in other embodiments
querying data from a weather reporting source and determining whether the snow removal device should be on or off;
determining if there is a discrepancy between whether the snow removal device is actually on or off and whether the snow removal device should be on or off;
and automatically alerting an operator if a discrepancy is detected and continues to exist for a delay period.
Still another aspect of the invention provides a method of monitoring a plurality of railroad switch snow removal devices, the method comprising:
measuring at least a temperature at a location of a snow removal device to determine if snow is falling at the location;
querying data from a secondary source of weather information for information relating to whether snow is falling at the location;
determining if there is a discrepancy regarding whether snow is falling at the location;
and automatically alerting an operator after a discrepancy is detected and continues to exist for a delay period.
A variety of additional inventive aspects will be set forth in the description that follows. The inventive aspects can relate to an individual feature or to a combination of features. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the broad inventive concepts upon which the embodiments disclosed herein are based.
Brief Description of the Drawings Figure 1 is a flow chart of a method of monitoring and controlling railroad switch snow removal devices in accordance with an embodiment of the invention;
Figure 2 is a flow chart of an alternative method of monitoring and controlling railroad switch snow removal devices in accordance with an embodiment of the invention;
3a Figure 3 depicts the network including a plurality of railroad switch snow removal devices according to an embodiment of the invention;
Figure 4 is a schematic block diagram of a snow removal control unit according to an embodiment of the invention;
Figure 5 depicts a user interface according to an embodiment of the invention;
3b Figure 6 is a schematic illustration of a fuel tank monitoring system according to one embodiment of the invention;
Figure 7 is a schematic illustration of several possible scenarios that are used to describe the operations of the invention;
Figure 8 is a screen shot that displays a summary of the operating conditions of related snow melters according to an embodiment of the invention;
Figure 9 is a screen shot that displays the detailed operating conditions of a selected snow melter according to an embodiment of the invention;
Figure 10 is a screen shot that displays the control modes and on/off parameters of a selected snow melter according to an embodiment of the invention;
Figure 11 is a screen shot that displays user rights to snow melters according to an embodiment of the invention;
Figure 12 is a screen shot that displays fault notifications of snow melters according to an embodiment of the invention;
Figure 13 is a screen shot that displays the location and identification of snow melters according to an embodiment of the invention;
Figure 14 is a schematic diagram of an embodiment of the network according to the present disclosure; and Figure 15 is a schematic diagram of the embodiment of the network shown if Figure 14.
Detailed Description of the Preferred Embodiment Referring primarily to figures 1 and 3, a method of monitoring railroad switch snow removal devices 200 is shown. The first step includes identifying 10 a device and checking if the device 200 (shown schematically in figure 4) is on or off. In some embodiments the geographic location is stored at the base station 202 corresponding to a particular device identification number.
In another embodiment the geographic location is stored at a memory location 301 at snow removal device 200. The geographic location can be any number of references. In some embodiments, the geographic location is identified as specific geographic coordinates (e.g., longitude and latitude), while in other embodiments
4 the geographic location is identified as a particular zip code. For example, referring to figure 13, the snow melter is shown associated with a serial number, name, zip codc, latitude, longitude, region, division, subdivision, and mile post. In some embodiments the above information is recorded and tracked by a provider upon installation of the snow removal devices.
Next, the base station 202 collects 20 weather data from a secondary source 204 that corresponds to the particular identified geographic location.
Some exemplary secondary sources for weather data include: www.weather.com, www.cnn.com/weather/, and www.wunderground.com. Once the weather data is queried, the base station 202 determines 30 whether the device 200 should be on or off and checks 40 for any discrepancy. For example, if the secondary source indicates heavy snow at the particular geographic location, then the device should be on. In contrast, if the secondary source indicates that it is warm and sunny at the particular geographic location, the device should probably be turned off. If a discrepancy is detected, an operator 206 is alerted 50 so that the operator can investigate the discrepancy.
Referring to figures 2 and 4, an alternative method of monitoring and controlling railroad switch snow removal devices 200 is shown. The first step includes measuring 100 operating and environmental conditions. This step, for example, may include the step of measuring the ambient temperature, the ambient moisture content, and the available fuel. The next step is processing the data 112 by comparing 120 the measured data to a predetermined set of criteria. This step can include comparing the data with a predetermined set of criteria saved in a local memory location 301 to determine if snow is falling and if the device has enough fuel to run properly. In some embodiments this step is accomplished locally by the processor 300 that is located at the snow removal device 200. In some embodiments, depending on the rate of snowfall, the ambient temperature, and the available fuel, the snow removal device 200 may automatically turn on or off as appropriate to ensure that snow and ice do not accumulate on the rails 402 of the switch 400. In some embodiments the temperature of the heating or lack thereof is determined based on the measured criteria. For example, if the snow is determined to be dry and light, the heater 302 of the snow removal device 200 may be left off to conserve fuel and only the blower 304 will be turned on.
Next, the base station 202 collects 20 weather data from a secondary source 204 that corresponds to the particular identified geographic location.
Some exemplary secondary sources for weather data include: www.weather.com, www.cnn.com/weather/, and www.wunderground.com. Once the weather data is queried, the base station 202 determines 30 whether the device 200 should be on or off and checks 40 for any discrepancy. For example, if the secondary source indicates heavy snow at the particular geographic location, then the device should be on. In contrast, if the secondary source indicates that it is warm and sunny at the particular geographic location, the device should probably be turned off. If a discrepancy is detected, an operator 206 is alerted 50 so that the operator can investigate the discrepancy.
Referring to figures 2 and 4, an alternative method of monitoring and controlling railroad switch snow removal devices 200 is shown. The first step includes measuring 100 operating and environmental conditions. This step, for example, may include the step of measuring the ambient temperature, the ambient moisture content, and the available fuel. The next step is processing the data 112 by comparing 120 the measured data to a predetermined set of criteria. This step can include comparing the data with a predetermined set of criteria saved in a local memory location 301 to determine if snow is falling and if the device has enough fuel to run properly. In some embodiments this step is accomplished locally by the processor 300 that is located at the snow removal device 200. In some embodiments, depending on the rate of snowfall, the ambient temperature, and the available fuel, the snow removal device 200 may automatically turn on or off as appropriate to ensure that snow and ice do not accumulate on the rails 402 of the switch 400. In some embodiments the temperature of the heating or lack thereof is determined based on the measured criteria. For example, if the snow is determined to be dry and light, the heater 302 of the snow removal device 200 may be left off to conserve fuel and only the blower 304 will be turned on.
5 Referring primarily to figures 2, 3 and 4, in some embodiments if the measured values are outside of a predetermined set of values an alert is transmitted 116 to the base station 202. In some embodiments the base station 202 is configured to translate the received signal and determine, for example, whether a particular sensor 306, 308, 310, 312 has malfunctioned or if the device is out of fuel.
When an alert is sent, an operator 206 can view the alert remotely when connected to the base station 202. In some embodiments the base station 202 is configured to page the operator 206 whenever a certain type of alert is received. For example, the base station 202 may be programmed to page the operator 206 when a snow removal device 200 has run out of fuel and snow is falling at that particular location. Such an alert enables an operator 206 to anticipate the failure of the particular switch 400 and make alternative arrangements as necessary.
Still referring primarily to figures 2, 3 and 4, in the depicted embodiment the base station 202 measures 100 data from the snow removal devices 200 according to a maintenance check schedule. In some embodiments the collection of data is accomplished by configuring the snow removal devices 200 to periodically or continuously transmit measured data hack to the base station 202. In other embodiments, the base station 202 is configured to query data from the snow removal devices 200 at certain times or on command. The base station 202 also collects 118 a comparable set of data from a secondary source 204. It should be appreciated that the step of collecting data from a secondary source can occur before, after, or simultaneously with the step of collecting data from the devices 200.
The secondary source 204 in some embodiments includes real time weather information. In other embodiments the secondary source includes maintenance records, such as the last time the snow removal devices 200 were refueled.
Subsequently, the data collected from the snow removal devices 200 is compared with the data collected from the secondary sources 204. If the datum from the snow removal devices 200 and the secondary sources 204 are outside of an acceptable range, an alert is triggered at the base station.
An alert may indicate, for example, that the snow removal device 200 is apparently low on fuel, even though the secondary source 204 maintenance records indicate that the snow removal device 200 was recently refueled. Once alerted to the discrepancy, the operator can investigate the issue further to determine
When an alert is sent, an operator 206 can view the alert remotely when connected to the base station 202. In some embodiments the base station 202 is configured to page the operator 206 whenever a certain type of alert is received. For example, the base station 202 may be programmed to page the operator 206 when a snow removal device 200 has run out of fuel and snow is falling at that particular location. Such an alert enables an operator 206 to anticipate the failure of the particular switch 400 and make alternative arrangements as necessary.
Still referring primarily to figures 2, 3 and 4, in the depicted embodiment the base station 202 measures 100 data from the snow removal devices 200 according to a maintenance check schedule. In some embodiments the collection of data is accomplished by configuring the snow removal devices 200 to periodically or continuously transmit measured data hack to the base station 202. In other embodiments, the base station 202 is configured to query data from the snow removal devices 200 at certain times or on command. The base station 202 also collects 118 a comparable set of data from a secondary source 204. It should be appreciated that the step of collecting data from a secondary source can occur before, after, or simultaneously with the step of collecting data from the devices 200.
The secondary source 204 in some embodiments includes real time weather information. In other embodiments the secondary source includes maintenance records, such as the last time the snow removal devices 200 were refueled.
Subsequently, the data collected from the snow removal devices 200 is compared with the data collected from the secondary sources 204. If the datum from the snow removal devices 200 and the secondary sources 204 are outside of an acceptable range, an alert is triggered at the base station.
An alert may indicate, for example, that the snow removal device 200 is apparently low on fuel, even though the secondary source 204 maintenance records indicate that the snow removal device 200 was recently refueled. Once alerted to the discrepancy, the operator can investigate the issue further to determine
6 if the snow removal device 200 is leaking, if the secondary source 204 maintenance records are inaccurate, or if the fuel sensor is inaccurate. If the operator 206 decides that the measured value is inaccurate, the operator 206 can reset (e.g., recalibrate) 122 the sensor or otherwise dismiss 126 the alert. In some embodiments the recalibration can be accomplished remotely, and in other embodiments the recalibration is accomplished via the user interface 314 located locally on the snow removal device 200. In such embodiments the device 200 includes a receiver in addition to the transmitter 612.
Alternatively, an alert may indicate, for example, that the measured temperature is substantially different than the temperature collected from the secondary weather data source that corresponds to the particular geographic location, which is measured and stored in a memory location. Once alerted of the discrepancy, the operator 206 may choose to override 124 the automatic on off control of the snow removal device 200 if appropriate, or otherwise dismiss 126 the alert. In such embodiments the device 200 includes a receiver in addition to the transmitter 612. An operator 206 can check other nearby sensors or other secondary sources to determine whether the measured data or the queried data is more likely accurate.
Finally, the base station 202 can be configured to store 128 all the dates and times that the measured data from each snow removal device 200 was checked against data from a secondary source 204. In some embodiments the next date and time that the measured data from that particular snow removal device is check against data from a secondary source 204 is dependent on when the last check occurred and the outcome of the last check. In some embodiments, a number of different types of measured data is stored at the base station for maintenance purposes.
Referring primarily to figure 5, according to one embodiment of the invention the data transmitted and processed at the base station can be accessed via an intern& webpage. The data can in some embodiments be graphically represented via icons 401, 403, 404, 406, and 408 along tracks 410 on a map displayed on a computer screen 414. The user can check the operational parameters and the measured data by clicking on the icon that corresponds with the snow removal device 200 of interest. In some embodiments an alert is indicated on the map by a
Alternatively, an alert may indicate, for example, that the measured temperature is substantially different than the temperature collected from the secondary weather data source that corresponds to the particular geographic location, which is measured and stored in a memory location. Once alerted of the discrepancy, the operator 206 may choose to override 124 the automatic on off control of the snow removal device 200 if appropriate, or otherwise dismiss 126 the alert. In such embodiments the device 200 includes a receiver in addition to the transmitter 612. An operator 206 can check other nearby sensors or other secondary sources to determine whether the measured data or the queried data is more likely accurate.
Finally, the base station 202 can be configured to store 128 all the dates and times that the measured data from each snow removal device 200 was checked against data from a secondary source 204. In some embodiments the next date and time that the measured data from that particular snow removal device is check against data from a secondary source 204 is dependent on when the last check occurred and the outcome of the last check. In some embodiments, a number of different types of measured data is stored at the base station for maintenance purposes.
Referring primarily to figure 5, according to one embodiment of the invention the data transmitted and processed at the base station can be accessed via an intern& webpage. The data can in some embodiments be graphically represented via icons 401, 403, 404, 406, and 408 along tracks 410 on a map displayed on a computer screen 414. The user can check the operational parameters and the measured data by clicking on the icon that corresponds with the snow removal device 200 of interest. In some embodiments an alert is indicated on the map by a
7 flashing icon or an icon that turns a particular color, such as orange or red.
In other embodiments, the color of the icon 401, 403, 404, 406, and 408 corresponds with whether the particular corresponding snow removal device 200 is on or off or is full or low on fuel.
According to some embodiments the data can be accessed by the operator 206 wirelessly on a handheld device 500. In such an embodiment the operator can be in transit to service a particular snow removal device 200 and access real time data regarding the snow removal devices 200 in the field.
Referring to figure 6, an embodiment is shown where fuel tank related data is measured to determine if the tank 600 is expected to be operational.
To be operational the tank 600 must be able to supply fuel to the burner 604.
In the depicted embodiment the supplied fuel 618 is in gas form (e.g., propane or natural gas). To enable larger amounts of fuel 602 to be stored within the tank 600, the fuel 602 in the depicted embodiment is pressurized so that most of the fuel 602 in the tank 600 is in liquid form. Fuel must change phase from liquid to gas to be effectively used. Accordingly, the mere fact that the tank 600 is not empty does not necessarily mean that the tank 600 is expected to be operational. Since whether a particular liquid will change into a gas is dependent on the temperature of the liquid and the pressure in the tank 600, the temperature of the fuel 602 within the tank 600 and the pressure within the tank 600 factor into whether the tank 600 is operational (the colder a liquid is, the less likely the liquid will vaporize at a given pressure). In view of the above, as compared to only knowing the amount of fuel 602 in the tank 600, also knowing the temperature of the fuel 602, and the pressure within the tank 600 enables one to more accurately predict whether the tank 600 is operational.
According to one embodiment, to accurately estimate whether the tank 600 will be operational under certain conditions, preferably at least the following types of data are measured: the temperature in the tank 600 or the fuel 602 therein, the pressure within the tank 600, and the level of liquid fuel within the tank 600. Accordingly, to such an embodiment the system includes a temperature sensor 606, a pressure sensor 608, and a fuel level sensor 610. It should, however, be appreciated that in alternative embodiments sensors measuring different data may be included. It should also be appreciated that alternative embodiments may include more or fewer sensors in part depending on the specific methodology used to
In other embodiments, the color of the icon 401, 403, 404, 406, and 408 corresponds with whether the particular corresponding snow removal device 200 is on or off or is full or low on fuel.
According to some embodiments the data can be accessed by the operator 206 wirelessly on a handheld device 500. In such an embodiment the operator can be in transit to service a particular snow removal device 200 and access real time data regarding the snow removal devices 200 in the field.
Referring to figure 6, an embodiment is shown where fuel tank related data is measured to determine if the tank 600 is expected to be operational.
To be operational the tank 600 must be able to supply fuel to the burner 604.
In the depicted embodiment the supplied fuel 618 is in gas form (e.g., propane or natural gas). To enable larger amounts of fuel 602 to be stored within the tank 600, the fuel 602 in the depicted embodiment is pressurized so that most of the fuel 602 in the tank 600 is in liquid form. Fuel must change phase from liquid to gas to be effectively used. Accordingly, the mere fact that the tank 600 is not empty does not necessarily mean that the tank 600 is expected to be operational. Since whether a particular liquid will change into a gas is dependent on the temperature of the liquid and the pressure in the tank 600, the temperature of the fuel 602 within the tank 600 and the pressure within the tank 600 factor into whether the tank 600 is operational (the colder a liquid is, the less likely the liquid will vaporize at a given pressure). In view of the above, as compared to only knowing the amount of fuel 602 in the tank 600, also knowing the temperature of the fuel 602, and the pressure within the tank 600 enables one to more accurately predict whether the tank 600 is operational.
According to one embodiment, to accurately estimate whether the tank 600 will be operational under certain conditions, preferably at least the following types of data are measured: the temperature in the tank 600 or the fuel 602 therein, the pressure within the tank 600, and the level of liquid fuel within the tank 600. Accordingly, to such an embodiment the system includes a temperature sensor 606, a pressure sensor 608, and a fuel level sensor 610. It should, however, be appreciated that in alternative embodiments sensors measuring different data may be included. It should also be appreciated that alternative embodiments may include more or fewer sensors in part depending on the specific methodology used to
8
9 PCT/US2007/002565 analyze the data, which will be discussed in greater detail below. It should be appreciated that in alternative embodiments an electric heat non-combustion source may be employed (e.g., electric calrod heater). Such systems could include a system for measuring whether the necessary electric energy exists, similar to the fuel tank monitoring system described above.
In the depicted embodiment the sensors are connected to a transmitter 612 that is configured to transmit the measured data to a remote base station 614 or a network server 616 or both. In one embodiment the base station 614 uses equations to calculate whether or not the tank 600 is expected to be operational based on the measured data and known or inputted data. In other embodiments the base station 614 relies on empirical data to make its determination regarding the operability of the tank 600. In yet other embodiments, a combination of empirical charts and equations are used in the analysis. In embodiments where empirical data is used in the analysis, the empirical data may be stored locally on a remote database and accessible via a network. In the depicted embodiment the empirical data is stored on a remote server 616 and accessible via the interne 620. Base station 614 can be connected to the transmitter 612 via the cellular telephone network directly, or via a short range wireless communication system such as any of a variety of 802.11 wireless networks (e.g., Wi-MAX or Wi-Fi) or any radio or other wireless or wire communication systems.
In some embodiments the base station 614 tracks and stores the measured data to analyze the fuel usage history. For example, in some embodiments the level of fuel in the tank 600 is tracked over a set period of time. Such tracking can be used for many purposes including, for example, determining whether the measured data is likely accurate or inaccurate, or whether the sensors are operable and/or whether the tank 600 is leaking. For example, if the tracked history indicates that the tank 600 was initially full and has been in use for a very short period of time or no time at all but is now empty, the tank 600 may be leaking or the measured data may be inaccurate. In some embodiments the base station 614 is configured to alert the operator when a potential problem is detected.
The system disclosed in figure 6, may also be used by an operator in determining the type of fuel that should be used for a particular application.
In some embodiments the conditions, such as the expected ambient temperatures, may make a certain type of fuel preferable. The effectiveness and efficiency of particular fuels can be analyzed at the base station 614 based on the data collected by the sensors 606, 608, and 610. It should be appreciated that many other analyses can be conducted based on data measured by the sensors and/or data queried from a local or remote server 616.
Referring to figure 7, the process of determining when it is appropriate to alert the operator of a failure or otherwise initiate the process of override, the operations of a failed device is illustrated. It is desirable to avoid false detection of device failures, which are the results of normal error. For example, for , a period of time the device might be ON while it is snowing. During this period the operation of the system may be characterized by the upper left quadrant (i.e., the device is ON and the device should be ON). The snow might stop, but for a relatively short period of time the device might still be ON. During this period the operation of the system can be characterized as having moved to the lower left quadrant (i.e., the device is ON and the device should be OFF). During this time period, fuel is being wasted. This might occur because the sensors on the device, or the empirical data, or both, are slightly off. To avoid alerting the operator relating to small discrepancies which in time correct themselves, the system can be set up such that the system must operate in the lower left state for more than an hour before an alert is sent to the operator or a failure is otherwise deemed. On the other hand, the system be might be operating in the upper left quadrant and move to the upper right quadrant. This would occur if snow continue to fall, but the device turns itself off (i.e., the device is OFF and the device should be ON). Since it is important to prevent railroad switch failure, the system might be set to alert an operator or otherwise consider the discrepancy a failure after a relatively shorter period of time, for example, 10 minutes instead of an hour.
Still referring to figure 7, as discussed above the time period for acceptable discrepancies is dependent on the type of discrepancy (i.e., if the device is ON when it should be off versus the device is off when it should be on).
Another factor can relate to the context (i.e., what quadrant was the device previously operating in). For example, there may exist reasons to set different acceptable time periods of discrepancies based on whether the device moves into the upper right quadrant from the upper left quadrant or from the lower right quadrant. If the device moves to the lower right quadrant from the upper right quadrant (i.e., it starts from the state where it is OFF and it should be OFF, and moves to the state where it is OFF but should be on), the period of time of acceptable discrepancy might be longer than if the device moves to the same quadrant from the upper left quadrant.
The latter occurrence might more likely indicate a failure, whereas the former might more likely indicate normal sensor variations.
Referring to figures 8-13, a specific embodiment of an internet based system is described in greater detail below. Figure 8 is a screen shot showing a summary of the operating condition of snow melters under the control of a particular user. In the depicted embodiment, the summary of the snow melters can be organized by the user according to region, division, subdivision, mile post, or site group. In the depicted screen shot the designated region is North and the designated division is Twin Cities. Three snow melters fall within this category (i.e., East Wayzata, West Delano, and West Wayzata). The subdivision, mile post, and temperature for each of the three melters arc displayed. In addition, the status and whether the melters are running are also displayed. From this screen the user can select any one of the three snow melters for further analysis.
Figure 9 is a screen shot that corresponds with the East Wayzata snow melter shown in figure 8. In addition to the summary information regarding the snow melter, detailed information relating to the control and operation parameters are displayed. In the depicted screen shot, East Wayzata is not running due to the air temperature, as shown under the machine status column. Other status options include Idle, Running-OK, Not Running-Faulted, Not Running-Timed Out, Not Running-Should Be-Weather, Running-Should Not Be-Weather, and Communication Failure. In the depicted embodiment, action is called (not running due to air temperature) for by the Weather Watcher system, which is driven by the secondary source data. In the depicted embodiment the secondary source data can be used as a check on the local sensors and controls on the snow =her, or it can be used to drive the system. If the local controls and sensors are used to drive the action of the system, the secondary weather data is used as a check and issues alerts when a discrepancy is detected.
Still referring to figure 9, from this view the user can view an array of current status data that includes: fuel tank level, temperature set points, run time data, air temperature, rail temperature, motor voltage, duct pressure, gas pressure, total gas used, motor current, etc. Also, a link is provided to view a snapshot of the site to enable the operator to view the site. The fuel tank level is used to determine if the tank needs to be refilled, and also to calculate whether the tank is operational based on the temperature and other factors. The motor voltage and current are used to determine if the snow melter motor is operational, and also if the motor is running optimally or likely to fail. The duct pressure and gas pressure arc used to troubleshoot, and also used to determine if the tank is expected to be operational. In addition, from this view the user clicks on tabs to further investigate the last fault reading, the operational history, and other control settings.
Figure 10 is a screen shot that corresponds with the Controls tab of figure 9. From this view the user can remotely operate the snow menet-. The user can turn on or off the snow melter, adjust the temperature set points, and adjust the run times. In the depicted view the snow melter is configured to turn on continually when the air temperature is less than one degree Fahrenheit. The air temperature set point can also be used to prevent the snow melter from turning on. For example, the system can be configured such that if a sensed temperature is above a certain level, the device does not turn on.
Referring to figure 11, a screen shot of the user assignment page is shown. The user assignment function allows for different levels of access rights to be assigned to different operators. Some operators can be authorized only to view the system, and others can be authorized to edit and modify the system.
Moreover, those who are authorized to edit and modify the system may be authorized to edit and modify specific aspects of the system (e.g., gas, run hours, fault counts, and overtemp latch). In the depicted embodiment, all of the operators have full authorization to the system.
Referring to figure 12, a screen shot of the notification setup is shown. The notification function allows for selective notification. Particular types of notification can be sent to particular users via particular means. For example, in the depicted embodiment, Peter Molenda is set to receive notification of fuse 2 faults by email only, whereas Eric Schneider is set to receive fuse 1 faults via cell phone, temperature faults via pager, and fuse 2 faults via email and work phone. In the depicted embodiment, the system administrator is set to receive notification of all of the faults. This system enables the messages to be sent to the person who is responsible for or best suited to dealing with the particular issue. Figure 13, as discussed above, is used to log in the identifying information of each of the snow melters.
Referring to figures 14 and 15, a general overview of a particular embodiment of a network according to the present disclosure is included below.
The components of the network architecture include: SMC ¨ Snow Melter Controller;
RCC ¨ Remote Communications Controller; WEB ¨ Web services and portal hosting; SQL ¨ SQL Server database; RR ¨ Railroad client accessing web portals.
The general messaging flow scenarios are summarized below in outline form:
I. SMC initiated SMC <=> RCC
= SMC detects a change of operating state (i.e. from off to running) and initiates a conversation with the RCC.
= SMC sends a message to the RCC containing the current snow melter operating and configuration parameters.
= RCC accepts and acknowledges the message from the SMC.
= SMC closes the conversation with the RCC after 1 minute of idle time.
= RCC captures the parameter values from the message.
RCC WEB
= RCC initiates a conversation with the WEB.
= RCC sends the current snow melter parameters to the WEB.
= WEB acknowledges the message from the RCC.
= RCC closes the conversation with the WEB immediately.
= WEB captures the parameter values from the message.
= WEB updates the SQL database with the snow melter parameter values.
WEB USER
= WEB analyzes the snow melter change of state to determine notification requirements.
= WEB issues notification messages to railroad clients for new snow melter conditions.
2. RCC initiated RCC SMC
= RCC initiates a conversation with the SMC.
= RCC sends a message to the SMC containing the command number.
= SMC accepts and acknowledges the message from the RCC. Included in the acknowledgement are all SMC parameter values.
= RCC closes the conversation with the SMC after 1 minute of idle time.
= RCC captures the parameter values from the message.
RCC '4* WEB
= RCC initiates a conversation with the WEB.
= RCC sends the current snow melter parameters to the WEB.
= WEB acknowledges the message from the RCC.
= RCC closes the conversation with the WEB immediately.
= WEB captures the parameter values from the message.
= WEB updates the SQL database with the snow melter parameter values.
WEB <g> USER
= WEB analyzes the snow melter change of state to determine notification requirements.
= WEB issues notification messages to railroad clients for new snow melter conditions.
3. WEB initiated WEB .44) RCC
= WEB user presses the "Refresh Values" button on a web page.
= WEB initiates a conversation with the RCC.
= WEB sends a message to the RCC containing the command number.
= RCC accepts and acknowledges the message from the WEB.
RCC <g> SMC
= RCC initiates a conversation with the SMC.
= RCC sends a message to the SMC containing the command number.
= SMC accepts and acknowledges the message from the RCC. Included in the acknowledgement are all SMC parameter values.
= RCC closes the conversation with the SMC after 1 minute of idle time.
= RCC captures the parameter values from the message.
RCC WEB
= RCC initiates a conversation with the WEB.
= RCC sends the current snow melter parameters to the WEB.
= WEB acknowledges the message from the RCC.
= RCC closes the conversation with the WEB immediately.
= WEB captures the parameter values from the message.
= WEB updates the SQL database with the snow melter parameter values.
WEB 4:* USER
= WEB analyzes the snow melter change of state to determine notification requirements.
= WEB issues notification messages to railroad clients for new snow melter conditions.
From the foregoing detailed description, it will be evident that modifications and variations can be made in the devices and methods of the disclosure without departing from the scope of the invention.
In the depicted embodiment the sensors are connected to a transmitter 612 that is configured to transmit the measured data to a remote base station 614 or a network server 616 or both. In one embodiment the base station 614 uses equations to calculate whether or not the tank 600 is expected to be operational based on the measured data and known or inputted data. In other embodiments the base station 614 relies on empirical data to make its determination regarding the operability of the tank 600. In yet other embodiments, a combination of empirical charts and equations are used in the analysis. In embodiments where empirical data is used in the analysis, the empirical data may be stored locally on a remote database and accessible via a network. In the depicted embodiment the empirical data is stored on a remote server 616 and accessible via the interne 620. Base station 614 can be connected to the transmitter 612 via the cellular telephone network directly, or via a short range wireless communication system such as any of a variety of 802.11 wireless networks (e.g., Wi-MAX or Wi-Fi) or any radio or other wireless or wire communication systems.
In some embodiments the base station 614 tracks and stores the measured data to analyze the fuel usage history. For example, in some embodiments the level of fuel in the tank 600 is tracked over a set period of time. Such tracking can be used for many purposes including, for example, determining whether the measured data is likely accurate or inaccurate, or whether the sensors are operable and/or whether the tank 600 is leaking. For example, if the tracked history indicates that the tank 600 was initially full and has been in use for a very short period of time or no time at all but is now empty, the tank 600 may be leaking or the measured data may be inaccurate. In some embodiments the base station 614 is configured to alert the operator when a potential problem is detected.
The system disclosed in figure 6, may also be used by an operator in determining the type of fuel that should be used for a particular application.
In some embodiments the conditions, such as the expected ambient temperatures, may make a certain type of fuel preferable. The effectiveness and efficiency of particular fuels can be analyzed at the base station 614 based on the data collected by the sensors 606, 608, and 610. It should be appreciated that many other analyses can be conducted based on data measured by the sensors and/or data queried from a local or remote server 616.
Referring to figure 7, the process of determining when it is appropriate to alert the operator of a failure or otherwise initiate the process of override, the operations of a failed device is illustrated. It is desirable to avoid false detection of device failures, which are the results of normal error. For example, for , a period of time the device might be ON while it is snowing. During this period the operation of the system may be characterized by the upper left quadrant (i.e., the device is ON and the device should be ON). The snow might stop, but for a relatively short period of time the device might still be ON. During this period the operation of the system can be characterized as having moved to the lower left quadrant (i.e., the device is ON and the device should be OFF). During this time period, fuel is being wasted. This might occur because the sensors on the device, or the empirical data, or both, are slightly off. To avoid alerting the operator relating to small discrepancies which in time correct themselves, the system can be set up such that the system must operate in the lower left state for more than an hour before an alert is sent to the operator or a failure is otherwise deemed. On the other hand, the system be might be operating in the upper left quadrant and move to the upper right quadrant. This would occur if snow continue to fall, but the device turns itself off (i.e., the device is OFF and the device should be ON). Since it is important to prevent railroad switch failure, the system might be set to alert an operator or otherwise consider the discrepancy a failure after a relatively shorter period of time, for example, 10 minutes instead of an hour.
Still referring to figure 7, as discussed above the time period for acceptable discrepancies is dependent on the type of discrepancy (i.e., if the device is ON when it should be off versus the device is off when it should be on).
Another factor can relate to the context (i.e., what quadrant was the device previously operating in). For example, there may exist reasons to set different acceptable time periods of discrepancies based on whether the device moves into the upper right quadrant from the upper left quadrant or from the lower right quadrant. If the device moves to the lower right quadrant from the upper right quadrant (i.e., it starts from the state where it is OFF and it should be OFF, and moves to the state where it is OFF but should be on), the period of time of acceptable discrepancy might be longer than if the device moves to the same quadrant from the upper left quadrant.
The latter occurrence might more likely indicate a failure, whereas the former might more likely indicate normal sensor variations.
Referring to figures 8-13, a specific embodiment of an internet based system is described in greater detail below. Figure 8 is a screen shot showing a summary of the operating condition of snow melters under the control of a particular user. In the depicted embodiment, the summary of the snow melters can be organized by the user according to region, division, subdivision, mile post, or site group. In the depicted screen shot the designated region is North and the designated division is Twin Cities. Three snow melters fall within this category (i.e., East Wayzata, West Delano, and West Wayzata). The subdivision, mile post, and temperature for each of the three melters arc displayed. In addition, the status and whether the melters are running are also displayed. From this screen the user can select any one of the three snow melters for further analysis.
Figure 9 is a screen shot that corresponds with the East Wayzata snow melter shown in figure 8. In addition to the summary information regarding the snow melter, detailed information relating to the control and operation parameters are displayed. In the depicted screen shot, East Wayzata is not running due to the air temperature, as shown under the machine status column. Other status options include Idle, Running-OK, Not Running-Faulted, Not Running-Timed Out, Not Running-Should Be-Weather, Running-Should Not Be-Weather, and Communication Failure. In the depicted embodiment, action is called (not running due to air temperature) for by the Weather Watcher system, which is driven by the secondary source data. In the depicted embodiment the secondary source data can be used as a check on the local sensors and controls on the snow =her, or it can be used to drive the system. If the local controls and sensors are used to drive the action of the system, the secondary weather data is used as a check and issues alerts when a discrepancy is detected.
Still referring to figure 9, from this view the user can view an array of current status data that includes: fuel tank level, temperature set points, run time data, air temperature, rail temperature, motor voltage, duct pressure, gas pressure, total gas used, motor current, etc. Also, a link is provided to view a snapshot of the site to enable the operator to view the site. The fuel tank level is used to determine if the tank needs to be refilled, and also to calculate whether the tank is operational based on the temperature and other factors. The motor voltage and current are used to determine if the snow melter motor is operational, and also if the motor is running optimally or likely to fail. The duct pressure and gas pressure arc used to troubleshoot, and also used to determine if the tank is expected to be operational. In addition, from this view the user clicks on tabs to further investigate the last fault reading, the operational history, and other control settings.
Figure 10 is a screen shot that corresponds with the Controls tab of figure 9. From this view the user can remotely operate the snow menet-. The user can turn on or off the snow melter, adjust the temperature set points, and adjust the run times. In the depicted view the snow melter is configured to turn on continually when the air temperature is less than one degree Fahrenheit. The air temperature set point can also be used to prevent the snow melter from turning on. For example, the system can be configured such that if a sensed temperature is above a certain level, the device does not turn on.
Referring to figure 11, a screen shot of the user assignment page is shown. The user assignment function allows for different levels of access rights to be assigned to different operators. Some operators can be authorized only to view the system, and others can be authorized to edit and modify the system.
Moreover, those who are authorized to edit and modify the system may be authorized to edit and modify specific aspects of the system (e.g., gas, run hours, fault counts, and overtemp latch). In the depicted embodiment, all of the operators have full authorization to the system.
Referring to figure 12, a screen shot of the notification setup is shown. The notification function allows for selective notification. Particular types of notification can be sent to particular users via particular means. For example, in the depicted embodiment, Peter Molenda is set to receive notification of fuse 2 faults by email only, whereas Eric Schneider is set to receive fuse 1 faults via cell phone, temperature faults via pager, and fuse 2 faults via email and work phone. In the depicted embodiment, the system administrator is set to receive notification of all of the faults. This system enables the messages to be sent to the person who is responsible for or best suited to dealing with the particular issue. Figure 13, as discussed above, is used to log in the identifying information of each of the snow melters.
Referring to figures 14 and 15, a general overview of a particular embodiment of a network according to the present disclosure is included below.
The components of the network architecture include: SMC ¨ Snow Melter Controller;
RCC ¨ Remote Communications Controller; WEB ¨ Web services and portal hosting; SQL ¨ SQL Server database; RR ¨ Railroad client accessing web portals.
The general messaging flow scenarios are summarized below in outline form:
I. SMC initiated SMC <=> RCC
= SMC detects a change of operating state (i.e. from off to running) and initiates a conversation with the RCC.
= SMC sends a message to the RCC containing the current snow melter operating and configuration parameters.
= RCC accepts and acknowledges the message from the SMC.
= SMC closes the conversation with the RCC after 1 minute of idle time.
= RCC captures the parameter values from the message.
RCC WEB
= RCC initiates a conversation with the WEB.
= RCC sends the current snow melter parameters to the WEB.
= WEB acknowledges the message from the RCC.
= RCC closes the conversation with the WEB immediately.
= WEB captures the parameter values from the message.
= WEB updates the SQL database with the snow melter parameter values.
WEB USER
= WEB analyzes the snow melter change of state to determine notification requirements.
= WEB issues notification messages to railroad clients for new snow melter conditions.
2. RCC initiated RCC SMC
= RCC initiates a conversation with the SMC.
= RCC sends a message to the SMC containing the command number.
= SMC accepts and acknowledges the message from the RCC. Included in the acknowledgement are all SMC parameter values.
= RCC closes the conversation with the SMC after 1 minute of idle time.
= RCC captures the parameter values from the message.
RCC '4* WEB
= RCC initiates a conversation with the WEB.
= RCC sends the current snow melter parameters to the WEB.
= WEB acknowledges the message from the RCC.
= RCC closes the conversation with the WEB immediately.
= WEB captures the parameter values from the message.
= WEB updates the SQL database with the snow melter parameter values.
WEB <g> USER
= WEB analyzes the snow melter change of state to determine notification requirements.
= WEB issues notification messages to railroad clients for new snow melter conditions.
3. WEB initiated WEB .44) RCC
= WEB user presses the "Refresh Values" button on a web page.
= WEB initiates a conversation with the RCC.
= WEB sends a message to the RCC containing the command number.
= RCC accepts and acknowledges the message from the WEB.
RCC <g> SMC
= RCC initiates a conversation with the SMC.
= RCC sends a message to the SMC containing the command number.
= SMC accepts and acknowledges the message from the RCC. Included in the acknowledgement are all SMC parameter values.
= RCC closes the conversation with the SMC after 1 minute of idle time.
= RCC captures the parameter values from the message.
RCC WEB
= RCC initiates a conversation with the WEB.
= RCC sends the current snow melter parameters to the WEB.
= WEB acknowledges the message from the RCC.
= RCC closes the conversation with the WEB immediately.
= WEB captures the parameter values from the message.
= WEB updates the SQL database with the snow melter parameter values.
WEB 4:* USER
= WEB analyzes the snow melter change of state to determine notification requirements.
= WEB issues notification messages to railroad clients for new snow melter conditions.
From the foregoing detailed description, it will be evident that modifications and variations can be made in the devices and methods of the disclosure without departing from the scope of the invention.
Claims (21)
1. A railroad snow removal network comprising:
a plurality of snow removal devices positioned at geographic locations each including a snow removal element, a sensor for detecting snow fall, a transmitter and a processor, wherein each snow removal device is configured to automatically turn on when snow fall is detected;
a computing device including a processor, a transmitter and a receiver, the computing device configured to acquire weather data from a weather reporting source wherein the data corresponds to the geographic locations of the snow removal devices, wherein the computing device is configured to send an alert when a snow removal device is turned off when the weather reporting source indicates that snow is falling at the corresponding location; and a user interface configured to display at least the location of the snow removal device.
a plurality of snow removal devices positioned at geographic locations each including a snow removal element, a sensor for detecting snow fall, a transmitter and a processor, wherein each snow removal device is configured to automatically turn on when snow fall is detected;
a computing device including a processor, a transmitter and a receiver, the computing device configured to acquire weather data from a weather reporting source wherein the data corresponds to the geographic locations of the snow removal devices, wherein the computing device is configured to send an alert when a snow removal device is turned off when the weather reporting source indicates that snow is falling at the corresponding location; and a user interface configured to display at least the location of the snow removal device.
2. The snow removal network according to claim 1, wherein the snow removal element comprises a heating unit and a blower.
3. The snow removal network according to claim 1, wherein the sensor includes a moisture sensor and a temperature sensor.
4. The snow removal network according to claim 1, wherein the user interface includes a handheld or desktop computer operably connected to the snow removal device.
5. The snow removal network according to claim 1, wherein the computing device is configured to send specific types of alerts to specific operators.
6. The snow removal network according to claim 1, wherein the computing device is configured such that the alert is sent after a predetermined amount of time passes.
7. The snow removal network according to claim 1, wherein the computing device is configured to turn on and turn off the snow removal devices.
8. The snow removal network according to claim 1, wherein the computing device is configured to automatically turn on the snow removal devices when the weather reporting source indicates that snow is falling, and turn off the snow removal device when the snow is not falling.
9. The snow removal network according to claim 1, configured to store historical data relating to the operation of the snow removal devices.
10. A railroad snow removal monitoring network comprising:
a snow removal device including a heating element, a sensor and a transmitter;
and a computing device including a processor, a transmitter and a receiver, the computing device configured to receive data collected from the sensor of the now removed device and compare the received data with data from a secondary data source that corresponds with the data received from the sensor of the now removed device and send an alert to an operator based on the comparison.
a snow removal device including a heating element, a sensor and a transmitter;
and a computing device including a processor, a transmitter and a receiver, the computing device configured to receive data collected from the sensor of the now removed device and compare the received data with data from a secondary data source that corresponds with the data received from the sensor of the now removed device and send an alert to an operator based on the comparison.
11. The network according to claim 10, wherein the sensor is configured to sense snow fall.
12. The network according to claim 10, wherein the sensor includes a temperature sensor and a moisture sensor.
13. The network according to claim 10, wherein the secondary source is a weather reporting service.
14. The network according to claim 10, wherein the computing device sends an alert by email to an operator.
15. The network according to claim 14, further comprising a user interface that displays data sensed by the sensor, displays whether the heating element is on or off, displays the data from the secondary source, and is configured to enable an operator to turn on or off the heating element remotely.
16. A method of monitoring a plurality of railroad switch snow removal devices, the method comprising:
measuring at least a temperature at a location of a snow removal device to determine if snow is falling at the location;
querying data from a secondary source of weather information for information relating to whether snow is falling at the location;
determining if there is a discrepancy regarding whether snow is falling at the location;
and automatically alerting an operator if a discrepancy is detected.
measuring at least a temperature at a location of a snow removal device to determine if snow is falling at the location;
querying data from a secondary source of weather information for information relating to whether snow is falling at the location;
determining if there is a discrepancy regarding whether snow is falling at the location;
and automatically alerting an operator if a discrepancy is detected.
17. The method according to claim 16, wherein the snow removal device is configured to turn on or off automatically depending on the data queried from the secondary source.
18. The method of claim 16, further comprising measuring fuel consumed by the snow removal device and the fuel level in the fuel tank.
19. The method of claim 16, further comprising measuring duct pressure and tank pressure in the fuel tank.
20. A method of monitoring a plurality of railroad switch snow removal devices, the method comprising:
monitoring whether a snow removal device is actually on or off;
querying data from a weather reporting source and determining whether the snow removal device should be on or off;
determining if there is a discrepancy between whether the snow removal device is actually on or off and whether the snow removal device should be on or off;
and automatically alerting an operator if a discrepancy is detected and continues to exist for a delay period.
monitoring whether a snow removal device is actually on or off;
querying data from a weather reporting source and determining whether the snow removal device should be on or off;
determining if there is a discrepancy between whether the snow removal device is actually on or off and whether the snow removal device should be on or off;
and automatically alerting an operator if a discrepancy is detected and continues to exist for a delay period.
21. A
method of monitoring a plurality of railroad switch snow removal devices, the method comprising:
measuring at least a temperature at a location of a snow removal device to determine if snow is falling at the location;
querying data from a secondary source of weather information for information relating to whether snow is falling at the location;
determining if there is a discrepancy regarding whether snow is falling at the location;
and automatically alerting an operator after a discrepancy is detected and continues to exist for a delay period.
method of monitoring a plurality of railroad switch snow removal devices, the method comprising:
measuring at least a temperature at a location of a snow removal device to determine if snow is falling at the location;
querying data from a secondary source of weather information for information relating to whether snow is falling at the location;
determining if there is a discrepancy regarding whether snow is falling at the location;
and automatically alerting an operator after a discrepancy is detected and continues to exist for a delay period.
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US76371306P | 2006-01-31 | 2006-01-31 | |
| US60/763,713 | 2006-01-31 | ||
| US84486606P | 2006-09-15 | 2006-09-15 | |
| US60/844,866 | 2006-09-15 | ||
| PCT/US2007/002565 WO2007102959A2 (en) | 2006-01-31 | 2007-01-31 | Railroad snow removal system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CA2641107A1 CA2641107A1 (en) | 2007-09-13 |
| CA2641107C true CA2641107C (en) | 2015-08-11 |
Family
ID=38475329
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA2641107A Active CA2641107C (en) | 2006-01-31 | 2007-01-31 | Railroad snow removal system |
Country Status (3)
| Country | Link |
|---|---|
| US (2) | US7693623B2 (en) |
| CA (1) | CA2641107C (en) |
| WO (1) | WO2007102959A2 (en) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2641107C (en) * | 2006-01-31 | 2015-08-11 | Railway Equipment Company, Inc. | Railroad snow removal system |
| US8571907B2 (en) * | 2011-07-20 | 2013-10-29 | Symbiot Business Group, Inc. | Systems and methods for weather-based estimation, auditing, and exception reporting |
| US8554595B2 (en) * | 2011-07-20 | 2013-10-08 | Symbiot Business Group, Inc. | Systems and methods for providing controls for aggregated weather-based work |
| JP5797498B2 (en) * | 2011-08-31 | 2015-10-21 | 北海道旅客鉄道株式会社 | Branch electric snow melting device remote control system and branch electric snow melting device remote control method |
| US9074327B2 (en) * | 2012-08-24 | 2015-07-07 | David L. Reichle | Railroad attachment clamp |
| US10489724B2 (en) * | 2014-05-02 | 2019-11-26 | Ferrandino & Son Inc. | Predicting resources required by a customer and their cost |
| US10366357B2 (en) * | 2015-04-10 | 2019-07-30 | Telsco Industries, Inc. | Systems and methods for site-specific tracking of snowfall |
| RU2018120382A (en) * | 2016-02-18 | 2020-03-18 | Стеджиа Аб | DEVICE AND METHOD FOR MELTING SNOW AND ICE ON THE RAILWAY |
| US10279823B2 (en) * | 2016-08-08 | 2019-05-07 | General Electric Company | System for controlling or monitoring a vehicle system along a route |
| JP7194505B2 (en) * | 2018-03-27 | 2022-12-22 | ナブテスコ株式会社 | snow removal system |
| CA3072636A1 (en) * | 2019-02-14 | 2020-08-14 | Norfolk Southern Corporation | Edge weather abatement using hyperlocal weather and train activity inputs |
| CN112681210B (en) * | 2021-01-15 | 2022-06-24 | 中车青岛四方机车车辆股份有限公司 | Third rail deicing device and method and train |
| CN113652997A (en) * | 2021-08-05 | 2021-11-16 | 中能欣安科技股份有限公司 | Railway track electric heating snow melting and ice melting system |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4081161A (en) * | 1974-09-23 | 1978-03-28 | Neil Upright | Heater system for railroad switch |
| US4391425A (en) * | 1978-03-20 | 1983-07-05 | Keep Jr Henry | Railroad switch heater |
| US4195805A (en) * | 1978-03-20 | 1980-04-01 | Keep Henry W Jr | Railroad switch heater |
| US5004190A (en) * | 1987-11-06 | 1991-04-02 | Bylin Heating Systems, Inc. | Rail heating apparatus |
| US5345223A (en) * | 1992-09-04 | 1994-09-06 | The B. F. Goodrich Company | Snow sensor |
| US5824997A (en) * | 1996-08-05 | 1998-10-20 | Fastrax Industries, Inc. | Railroad track switch heater |
| US6065721A (en) * | 1998-04-17 | 2000-05-23 | Sumpton; Danny M | Switch clearing system |
| US6714134B2 (en) * | 2001-01-16 | 2004-03-30 | Aqua Conservation Systems, Inc. | Detecting weather sensor malfunctions |
| US6727470B2 (en) * | 2002-02-07 | 2004-04-27 | Fastrax Industries, Inc. | Impedance heating for railroad track switch |
| US6995666B1 (en) * | 2002-10-16 | 2006-02-07 | Luttrell Clyde K | Cellemetry-operated railroad switch heater |
| CA2641107C (en) * | 2006-01-31 | 2015-08-11 | Railway Equipment Company, Inc. | Railroad snow removal system |
-
2007
- 2007-01-31 CA CA2641107A patent/CA2641107C/en active Active
- 2007-01-31 US US11/700,545 patent/US7693623B2/en active Active
- 2007-01-31 WO PCT/US2007/002565 patent/WO2007102959A2/en active Application Filing
-
2010
- 2010-04-01 US US12/753,004 patent/US7979170B2/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| US20100251579A1 (en) | 2010-10-07 |
| CA2641107A1 (en) | 2007-09-13 |
| US20070193072A1 (en) | 2007-08-23 |
| WO2007102959A2 (en) | 2007-09-13 |
| WO2007102959A3 (en) | 2008-02-28 |
| US7693623B2 (en) | 2010-04-06 |
| US7979170B2 (en) | 2011-07-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CA2641107C (en) | Railroad snow removal system | |
| US11555749B2 (en) | Proactive management of appliances | |
| US10262518B2 (en) | Method of disseminating monitoring information relating to contamination and corrosion within an infrastructure | |
| US6450411B1 (en) | Environmental stabilization system and method for maintenance and inventory | |
| CN105074344B (en) | HVAC system remotely monitoring and diagnosis | |
| US8386082B2 (en) | Utilizing cell phone location for occupancy determination and home energy control | |
| EP1239434A2 (en) | System and method for remote management of equipment operating parameters | |
| US8360334B2 (en) | Water heating control system and method | |
| CA2719025C (en) | Web portal system for managing vehicle usage and mobility | |
| CN107038485A (en) | Equipment obstacle management method and system | |
| KR101682940B1 (en) | Total management system for removing snow and ice on road and method for processing thereof | |
| AU2014259545A1 (en) | Infrastructure monitoring system and method | |
| CN105204551A (en) | Air-conditioning remote closed-loop control system, and remote control method and device of air-conditioning system | |
| US20110144949A1 (en) | System for real time supervision of component wear in a wind turbine population | |
| KR102088234B1 (en) | A maintenance system based pre-emptive predication used data analsys indedx for power plants and method it | |
| KR20140143260A (en) | Monitoring System For Cooling Tower | |
| JP2019011609A (en) | System, method for managing water-supply installation and management device | |
| JP2010071019A (en) | Control system and method of snow melting device | |
| CN115525080B (en) | Anti-icing control method and system based on temperature monitoring | |
| KR20180067274A (en) | Server and method for providing management information of vehicle | |
| Ntambara et al. | Discover Internet of Things | |
| KR20200115235A (en) | System and method for monitoring thermal energy equipments based on fault rule | |
| GB2473958A (en) | Energy management system for vehicle component shutdown | |
| CN104995667A (en) | Ambient conditions monitoring system for machinery | |
| Lawrence | Controls for critical cooling |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| EEER | Examination request |