CN103294033A - Agricultural product production process control system and method based on Internet of Things - Google Patents
Agricultural product production process control system and method based on Internet of Things Download PDFInfo
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Abstract
The invention discloses an agricultural product production process control system based on the Internet of Things. The system comprises a closed-loop control system which is composed of a data collection terminal, a monitoring platform, a network module and a task executor, wherein the data collection terminal comprises a radio frequency identification system and an information collector, the radio frequency identification system is used for identifying types of agricultural products, the information collector is used for acquiring environment information of agricultural product growing; the monitoring platform is prestored with various data models needed for agricultural product growth, is used for comparing the environmental information with the data models and analyzing, and sends corresponding regulating and controlling instructions according to comparison results; the task executor is used for regulating the information of the environments of agricultural products according to the regulating and controlling instructions; the network module is used for data communication between the data collection terminal, the monitoring platform and the task executor. The invention further discloses an agricultural product production process control method based on the Internet of Things.
Description
Technical field
The present invention relates to the agricultural production processing technique field, relate in particular to agricultural product industries process control system and method based on Internet of Things.
Background technology
China is a large agricultural country, the tradition industrialized agriculture mainly relies on great amount of manpower, jack board and some simple plant equipment, the plantation of peasant's dependence experience substantially, cause the agriculture water resource that consumes, agricultural chemicals, chemical fertilizer etc. all in growth at full speed, quantity is quite surprising, but farm output is still very low.
Development along with the world agriculture planting technology, the pattern of traditional agriculture far can not adapt to the needs of agricultural sustainable development, product quality problem, resource wretched insufficiency and generally waste, environmental pollution, problems such as the product category diversification of demand make Agricultural Development be absorbed in vicious cycle, and precision agriculture is to exchange maximum saving to resource for new and high technology and scientific management for modern agricultural development provides the road of a light, precision agriculture to compare maximum characteristics with traditional agriculture.It is a comprehensive very strong systems engineering, is the fundamental way that agricultural realizes low consumption, efficient, high-quality, environmental protection, is the new trend of world agriculture development, also is the march toward optimal selection of 21 century of China's agricultural.
In advancing agricultural modernization, the process of IT application, accurately real-time field data supply is important key link.Low cost, high-level efficiency, intelligent equipment are applied to field information acquisition, promote the transformation traditional agriculture with infotech, can promote Chinese agriculture and develop steadily to " batch production " direction on the essential meaning continuously and healthily.(Internet Of Things, lOT), namely " internet that the thing thing links to each other " can be connected any object Internet of Things with the internet, carries out message exchange and communicates by letter, to realize Intellectualized monitoring and the management to object.
Internet of Things is a kind of brand-new technology, it is by information sensing equipment such as radio-frequency (RF) identification (RFID), infrared inductor, GPS, laser scanners, agreement by agreement, any object is connected with the internet, carry out message exchange and communicate by letter, to realize intellectuality identification, location, tracking, monitoring and the management to object.The appearance of technology of Internet of things, for the informationization of agricultural production, become more meticulous, robotization, optimization provides may.
Patent publication No. is that the patent of invention of CN103019192A has been announced a kind of reading intelligent agriculture monitoring management system and management method based on technology of Internet of things, comprises data collection layer, network communication layer, application service layer, alarm module and control module.Data collection layer is gathered agricultural and plant growth information, and be uploaded to application service layer by the network communication layer, application service layer judges whether the information that receives satisfies corresponding controlled condition automatically, if satisfy, control module is accepted the control command unlatching control automatically that application service layer sends, if excite alert if, the warning message that alarm module sends according to application service layer is opened and is reported to the police.This patent mainly is in order to solve information standard disunity and the system compatibility problem that the IT application to agriculture system exists, but fairly simple aspect the processing of data and control.
Patent publication No. is that the patent of invention of CN102314166A discloses a kind of crops production of intelligent control system based on Internet of Things, formed by information acquisition terminal, information transmitting terminal and control of intelligent terminal, the information acquisition terminal is used for the collection of farm environment information, information transmitting terminal transfers to control of intelligent terminal with the farm environment information that collects, control of intelligent terminal carries out intelligent decision with the data of farm environment information and expert system, and sends corresponding control signal.Above-mentioned system relates generally to Hardware Design, is not specifically related to the Based Intelligent Control of farm environment and the content of optimization aspect.
Agriculture production environment is the ecosystem of a compound opening, comprise the factors such as soil, fertilizer, moisture, illumination, temperature, air, biology, by Internet of Things the farm environment data are gathered quickly and accurately, transmit, controlled, direct and indirect correlation factor are carried out systematic analysis, be conducive to scientific management is carried out in crops production.
Summary of the invention
The invention provides a kind of agricultural product industries process control system and method based on Internet of Things, technical scheme of the present invention realizes high-level efficiency and the intellectuality of field information acquisition, to collection, transmission and the control of farm environment data, realize " batch production " management to the agricultural product growth.
A kind of agricultural product industries process control system based on Internet of Things comprises the closed-loop control system of being made up of data acquisition end, monitor supervision platform, mixed-media network modules mixed-media and task actuator, wherein:
The data acquisition end comprises radio-frequency recognition system and information acquisition device, and described radio-frequency recognition system is used for the type of identification agricultural product, and described information acquisition device is used for gathering the environmental information of described agricultural product growth;
Monitor supervision platform prestores the required every data model of agricultural product growth, is used for described environmental information and data model are compared analysis, sends and the corresponding regulation and control instruction of the type of agricultural product according to comparative result;
The task actuator according to described regulation and control instruction, is adjusted the residing environmental information of agricultural product;
Mixed-media network modules mixed-media is used for the data communication between described data acquisition end, monitor supervision platform and task actuator.
The data acquisition end is used for gathering agricultural product type and residing environmental information, monitor supervision platform is the data analysis end, monitor supervision platform prestores the required every data model of each agricultural products growth, monitor supervision platform extracts corresponding data model according to the type of agricultural product, and environmental information substitution data model compared, according to comparative result, send regulation and control instruction, the task actuator is the command execution end, be used for carrying out the regulation and control instruction that monitor supervision platform sends, improve the residing growing environment of agricultural product, make final environmental baseline meet the data model that is pre-stored on the monitor supervision platform.
Radio-frequency recognition system comprises RFID label and recognizer, the RFID label is attached on the corresponding agricultural product, identify the type of these agricultural product, recognizer is used for reading the information of RFID label, and information is uploaded to mixed-media network modules mixed-media by antenna, and finally transferring to monitor supervision platform, monitor supervision platform can be identified the type of agricultural product according to the information of RFID label.
Information acquisition device comprises temperature sensor, humidity sensor, pH value sensor, optical sensor, CO
2Sensor and soil nutrient sensor etc. are for detection of the temperature in the agricultural product growing environment, relative humidity, pH value, intensity of illumination, CO
2Nutrient content in concentration and the soil, above-mentioned several data are the key factor of agricultural product growth, influence the grading of agricultural product fruit, are pre-stored in the optimization information that comprises these factor correspondences on the monitor supervision platform in the data model.Be example with the temperature, the environment temperature that the temperature sensor collection is real-time, store the preference temperature that satisfies the agricultural product growth in the data model, when real-time environment temperature is below or above preference temperature, the control platform sends regulation and control instruction, attemperating unit in the task actuator is according to modulation instructions, and suitably the temperature in rising or the reduction environment is improved the temperature environment that agricultural product are grown.
The task actuator comprises light irradiation apparatus actuator, attemperating unit, irrigation rig and dispenser valve etc., for the temperature, relative humidity and the intensity of illumination that change the agricultural product growing environment and light application time etc., make actual environment satisfy data model on the monitor supervision platform, realize robotization, intellectuality and the high-level efficiency of crops production control, improve the quality of agricultural product.
Described data acquisition end also comprises a plurality of image acquisition devices, is used for the growth course of described agricultural product is monitored in real time, also is provided with the display that inserts described monitor supervision platform, and this display is used for the image information that the described image acquisition device of output is gathered.Image acquisition device is video camera, is used for the growth conditions of remote observation agricultural product, observes the growing way whether agricultural product exist insect pest and agricultural product, opens the dispenser valve according to the situation of insect pest, keeps the growing environment of agricultural product optimum.
Described monitor supervision platform comprises master control system, picture control desk, storage server and WEB server;
Described storage server is for storing the information that described every data model and described data acquisition end are gathered;
Described master control system be used for to receive data message that mixed-media network modules mixed-media uploads and compares analysis with every data model of storage server, and carries regulation and control instruction to mixed-media network modules mixed-media;
Described picture control desk inserts described master control system, is used for the described image acquisition device of control, and to described display transport picture data;
Described WEB server is connected with described storage server, is used for the user side distributing data information to other.
Monitor supervision platform is the control center of Long-distance Control agricultural product, stores the optimal data model that meets the agricultural product growth in its storage server, and this data model contains the control schemes such as temperature, relative humidity and illumination of agricultural product growth.Picture control desk is controlled each image acquisition device, realize the visual angle switching between each image acquisition device, the WEB server is used for the user side distributing data information to other, this data message comprises image and the video that agricultural product kind, its residing growing environment information, the image acquisition device of data acquisition end collection is captured and is kept at data model in the storage server that the user side of being convenient to other is understood the real time status of agricultural product.
Described mixed-media network modules mixed-media comprises first routing node, gateway and secondary route node;
The information that described first routing node is used for the data acquisition end is gathered transfers to gateway;
Described gateway carries out data interaction by GPRS network and described monitor supervision platform;
Described secondary route node is used for the regulation and control instruction of gateway transmission is delivered to described task actuator.
Mixed-media network modules mixed-media adopts wired or wireless communication, if adopt the cable network module, setting up of circuit is comparatively complicated, but cost is lower, and the cost of wireless network module is higher, but rigging up and debugging is convenient.
Described first routing node is a plurality of ZigBee wireless routers, and each ZigBee wireless router and data acquisition end are formed the ZigBee monitoring network of hub-and-spoke configuration;
Described secondary route node is a plurality of the 2nd ZigBee wireless routers, and each the 2nd ZigBee wireless router and described task actuator are formed regulated and control network.
The radio-frequency recognition system of data acquisition end, information acquisition device and imageing sensor spread all over whole agricultural cultivation place, data acquisition end in each ZigBee wireless router and a certain zone is formed the ZigBee monitoring network of hub-and-spoke configuration simultaneously, and a ZigBee wireless router is used for uploading the collected data message of data acquisition end in this zone.
The 2nd ZigBee wireless router is used for carrying to the task actuator regulation and control instruction of monitor supervision platform, and a ZigBee wireless router and the 2nd ZigBee wireless router are respectively applied to upload data message and send the regulation and control instruction that monitor supervision platform sends to monitor supervision platform.Two ZigBee wireless routers separate uploading with descending of data, accelerate the transfer rate of data.
The present invention also provides a kind of agricultural product production run control method based on Internet of Things, comprises following step:
1) type by data acquisition end identification agricultural product, and collect the residing growing environment information of this agricultural products, by data transmission network with the type of agricultural product and growing environment information conveyance thereof to monitor supervision platform;
2) monitor supervision platform prestores the required data model of this agricultural products growth, and described growing environment information and date model is compared analysis, sends and the corresponding regulation and control instruction of the type of agricultural product according to comparative result;
3) the task actuator is adjusted the growing environment information of agricultural product according to the regulation and control instruction of accepting.
Described data transmission network comprises a plurality of routing nodes and gateway, the data acquisition end is selected best routing node according to routing algorithm, best routing node and gateway are set up data transmission link, and the data message of data acquisition end collection transfers to monitor supervision platform by routing node and gateway successively.
Routing node is preferably the ZigBee wireless router, each ZigBee wireless router is formed the ZigBee monitoring network with corresponding data acquisition end, gateway is as the base station of each ZigBee monitoring network, it has dual-use function, the one, serve as the role of network coordinator, be responsible for automatic foundation and maintenance, the data of network and compile; The 2nd, as the interface of ZigBee monitoring network and monitor supervision platform, transmit information with monitor supervision platform.
Each data acquisition end with apart from its nearest routing node as best routing node, and send the data message of gathering to this routing node, be uploaded to monitor supervision platform by the gateway that closes on this routing node at last.
When setting up the data acquisition end, the signal that this data acquisition end sends is uploaded to gateway by corresponding routing node, by gateway the data collection terminal is addressed and records routing node information, and will address and routing node information be sent to monitor supervision platform, the data on the monitor supervision platform are transmitted with the device association table are upgraded.
Data transmission network has the automatic network-building function, and gateway is in listening state always, and is newly-increased or when changing the equipment of data acquisition end, this equipment can be identified by mixed-media network modules mixed-media automatically, finishes automatic network-building.
Among the present invention, what adopt is automatic route and the dynamic group net technology of Ad hoc network, Zigbee is a kind of typical Ad hoc network, this network is a kind of communication that can interim fast automatic networking, internodal communication can be passed through the forwarding of a plurality of intermediate nodes, so it is also referred to as the multi-hop wireless net.Node is installed on the various device, opening and closing at any time, and constitute network topology arbitrarily by wireless connections, and can't set up wireless connections between the terminal of direct communication at two, make a side by other equipment information is forwarded to the opposing party.
When the agricultural product growth and maturity, according to the fruit of these agricultural product situation of grading the data model that prestores on the described monitor supervision platform is optimized correction, obtain meeting the optimal data model of agricultural product growth, and the data model that is pre-stored in monitor supervision platform is upgraded.
When the agricultural product growth and maturity, fruit according to these agricultural product is graded according to relevant criterion, and with rating result input monitoring platform, monitor supervision platform is provided with this agricultural products and is meeting the expected to rank of growing under the environment of data model, agricultural product optimal level and expected to rank compare then, if be higher than expected to rank, extract the grow actual environment information in each stage of this agricultural product in the storage server, and actual environment information compared analysis, obtain the conditional information that does not meet data model in the actual environment information, and adopt this conditional information that data corresponding in the data model are optimized, obtain meeting the latest data model of agricultural product growth, and the data model that prestores is upgraded.
Beneficial effect of the present invention:
1) at the data acquisition end of bottom, gather MANET route and the dynamic node increase and decrease configuring technical of load Network Based, solved stability and the flexible configuration problem of agriculture Internet of Things information transmission network.
2) in the data intelligence control of monitor supervision platform, be provided with the data model of suitable each growth of all kinds of crops, this data model comprises that crops are at the optimal control parameter of the different phase environmental parameter of growth, this parameter not only comprises continuous variables such as humiture, illumination, pH value, also comprises discrete time control informations such as the prevention and control of plant diseases, pest control.
3) data model can also be learnt automatically and upgrades according to per season crop planting effect, generates the data model of the optimum that meets crop growth, to adapt to the physical environment difference of different regions.
4) adopt technology of Internet of things, use temperature sensor, humidity sensor, pH value sensor, optical sensor, CO
2Equipment such as sensor, the temperature in the testing environment, relative humidity, pH value, intensity of illumination, soil nutrient, CO2
DensePhysical indexs such as degree participate in the automatic control by the parameter that various instrument and meters show in real time or conduct is controlled automatically, guarantee that crops have good, a suitable growing environment.
5) adopt wireless network to measure the top condition that obtains plant growth, can precisely regulate and control scientific basis is provided the purpose that reaches volume increase, improves quality, regulates growth cycle, increases economic efficiency for the greenhouse.
Description of drawings
Fig. 1 is the hardware structure figure of middle peasant's process of producing product control system of the present invention.
Fig. 2 is the schematic diagram of middle peasant's process of producing product control system of the present invention.
The process flow diagram that Fig. 3 regulates humidity for control system of the present invention.
Fig. 4 is the schematic diagram of new node automatic network-building of the present invention.
Fig. 5 is data model schematic diagram of the present invention.
Embodiment
As shown in Figure 1, a kind of agricultural product industries process control system based on Internet of Things comprises the closed-loop control system of being made up of data acquisition end, monitor supervision platform, mixed-media network modules mixed-media and task actuator.
The data acquisition end spreads all over each zone of agricultural cultivation, is used for gathering the growing environment information of agricultural product in each zone, and it comprises radio-frequency recognition system, information acquisition device and image acquisition device.Radio-frequency recognition system comprises RFID label and recognizer, and the RFID label is attached on the corresponding agricultural product, identifies the type of these agricultural product, and recognizer is used for reading the information of RFID label, and information is uploaded to mixed-media network modules mixed-media by antenna.Information acquisition device comprises temperature sensor, humidity sensor, pH value sensor, optical sensor, CO
2Sensor and soil nutrient sensor are respectively applied to detect temperature, relative humidity, pH value, intensity of illumination, CO in the agricultural product growing environment
2Nutrient content in concentration and the soil.Image acquisition device is generally video camera, is used for photographic images or video, is convenient to the upgrowth situation that the supvr understands agricultural product.
Monitor supervision platform comprises master control system, picture control desk, storage server and WEB server.Master control system is used for the data message that comparative analysis data acquisition end is uploaded, and it is embedded system, adopts arm processor and (SuSE) Linux OS, has communication network, general Peripheral Interface, can carry out control and management to the equipment in the total system.
Picture control desk is used for control image acquisition device photographic images or video, realize the visual angle switching between each image acquisition device, the growing state of comprehensive observation agricultural product, picture control desk have access to a plurality of displays, and image or video that image acquisition device is taken can be exported by display.Prestore the data model that meets the growth of each agricultural products in the storage server, and in whole agricultural product growth course, the collected every data of data acquisition end are kept at all in the storage server, are convenient to follow-up data analysis and to the data Model Optimization.The WEB server is used for the user side distributing data information to other, the environmental information and the growing way that make other usefulness can check agricultural product per family by the WEB server.
The task actuator comprises light irradiation apparatus actuator, attemperating unit, irrigation rig and dispenser valve, be used for to change the temperature, relative humidity, intensity of illumination, light application time of agricultural product growing environment and begin the dispenser valve according to insect pest, detected growing environment information is in each data area of data model, realize robotization, intellectuality and the high-level efficiency of crops production control, improve the quality of agricultural product.
Mixed-media network modules mixed-media comprises routing node A, gateway and routing node B, can adopt wired or wireless communication modes.Mixed-media network modules mixed-media lays respectively at internal network and external network, and internal network adopts short distance, low-power ZigBee wireless communication technology, and internal network comprises ZigBee wireless router A and ZigBee wireless router B.Data acquisition end in each ZigBee wireless router A and the corresponding region is formed the ZigBee monitoring network of hub-and-spoke configuration, is used for humiture, pH value, illumination and the soil nutrient data of agricultural product growing environment being gathered and transmitting.ZigBee wireless router B is used for carrying regulation and control instruction to the task actuator.The external network technology adopts IP network technology and GPRS communication network, user side inserts monitor supervision platform by IP network, realize the data sharing with monitor supervision platform, gateway is by GPRS communication network and monitor supervision platform data interchange, is used for accepting detection data that ZigBee wireless router A uploads and to the regulation and control instruction of ZigBee wireless router B transmission monitor supervision platform.
Gateway has dual-use function, and the one, serve as the role of network coordinator, be responsible for automatic foundation and maintenance, the data of network and compile; The 2nd, as the interface of monitoring network and monitor supervision platform, transmit information with monitor supervision platform.The data acquisition end to be being best routing node apart from its nearest routing node, and sets up monitoring network with this routing node, and the data message of data acquisition end collection transfers to monitor supervision platform by routing node and gateway successively.Mixed-media network modules mixed-media has the automatic network-building function, gateway is in listening state always, in each routing optimality cycle, newly-increased or when changing the equipment of data acquisition end, this equipment can be identified by mixed-media network modules mixed-media automatically, and the signal of new data collection end is uploaded to gateway, by gateway the data collection terminal is addressed and records routing node information, and will address and routing node information be sent to monitor supervision platform, data on the monitor supervision platform are transmitted with the device association table upgrade, prevent the disorder of data transmission.
Below specify automatic route and dynamic group net technology among the present invention, realize that according to network load dynamic node increase and decrease layoutprocedure is as follows:
As shown in Figure 4, be new node C with newly-increased data acquisition end, three routing nodes are all arranged among mixed-media network modules mixed-media A and the mixed-media network modules mixed-media B, gateway E is used for accepting the data of mixed-media network modules mixed-media A and mixed-media network modules mixed-media B and being uploaded to monitor supervision platform D, the data upload of new node C has four can select routed path, be respectively: node 3 → node 2 → node 1, node 5 → node 4 → node 1, node 8 → node 7 → node 6 and node 10 → node 9 → node 6, the data that monitor supervision platform records new node C automatically are delivered to the time of monitor supervision platform from each bar routed path, then when each routing optimality cycle (generally being 24 hours) finishes, choose the shortest routed path, as the optimal path of new node C next cycle data transmission, finish automatic network-building is chosen and realized in the path of new node C.
For example: if the data of new node C are the shortest through the time that node 3 → node 2 → node 1 transfers to monitor supervision platform, then put new node C under mixed-media network modules mixed-media A, and facility information and the routed path of new node C be saved to monitor supervision platform, the data on the monitor supervision platform are transmitted with the device association table upgraded.
As shown in Figure 2, the course of work based on the agricultural product industries process control system of Internet of Things is as follows:
In the agricultural product production run optimum control program of monitor supervision platform, be set with the data model of the various agricultural product in this area, data model comprises the environmental information of each growth cycle of various crops, comprises the discrete time control information of control parameter and the prevention and control of plant diseases, pest control of humiture, illumination and pH value.Data model among the present invention adopts the WOFOST model, the WOFOST model is the common crop growth simulation model of developing in Dutch Wa Hening agriculture university and world food research centre, this model carries out growth simulation to annual crop under specific soil and weather conditions, the basis of simulation is the crop physiology and ecology process, and its ultimate principle as shown in Figure 5.The kind of data acquisition end identification agricultural product and the environmental information of collector growth in real time, this environmental information comprises temperature, humidity, pH value and illumination, and pass to gateway by ZigBee wireless router A, transfer to monitor supervision platform by gateway then, monitor supervision platform is according to the crop species that receives and environmental information and in conjunction with the data model of this crop correspondence, with the temperature that collects in the environment, humidity, pH value and the illumination tentation data corresponding with it respectively compare analysis, need to judge whether to heat up, irrigate and illumination, and by relatively obtaining the intensification value, the water yield and the light application time of irrigating, by gateway the regulation and control instruction that comparative analysis obtains is delivered to gateway then, pass to each ZigBee wireless router B by gateway, be distributed to the task actuator by ZigBee wireless router B again, light irradiation apparatus actuator in the task actuator, attemperating unit and irrigation rig are according to regulation and control instruction, change the illumination in the crop growth environment, temperature and humidity makes it satisfy corresponding tentation data.
In the process to the crop growth environment practical adjustments, because region or climate difference, the component environment factor does not reach the predetermined standard of data model, therefore need the data model be optimized according to the situation of agricultural product fruit.When treating the agricultural product growth and maturity, fruit according to these agricultural product is graded, and with rating result input monitoring platform, monitor supervision platform is provided with this agricultural products and is meeting the expected to rank of growing under the environment of data model, agricultural product optimal level and expected to rank compare then, if be lower than expected to rank, continue to continue to use original data model when planting in next season, if be higher than expected to rank, extract the grow actual environment information in each stage of this agricultural product in the storage server, and actual environment information and date model compared analysis, obtain the conditional information that does not meet data model in the actual environment information, and adopt this conditional information that data corresponding in the data model are optimized, obtain meeting the latest data model of agricultural product growth, and the data model that prestores upgraded, next agricultural product are planted under the condition of new data model in season.
As shown in Figure 3, the process flow diagram of humidity being regulated for control system of the present invention.Humidity sensor is gathered the actual humidity data in the crops farm environment, and the control platform compares analysis with the humidity data in actual humidity data and the data model.
If actual humidity is higher than the humidity data in the data model, the control platform sends regulation and control instruction, and humidity task actuator is opened dehydrating unit and drainage arrangement according to regulation and control instruction, and the actual humidity in the farm environment is reduced in the humidity data of setting.
If actual humidity is in the humidity data scope in the data model, the control platform need not to send corresponding regulation and control instruction, and humidity task actuator is maintained the statusquo.
If actual humidity is lower than the humidity data in the data model, the control platform sends regulation and control instruction according to the comparative result of actual humidity and predetermined moisture, the intelligent humidity controller is opened irrigation system according to regulation and control instruction, and the actual humidity in farm environment satisfies the requirement of predetermined moisture.
Claims (10)
1. the agricultural product industries process control system based on Internet of Things is characterized in that, comprises the closed-loop control system of being made up of data acquisition end, monitor supervision platform, mixed-media network modules mixed-media and task actuator, wherein:
The data acquisition end comprises radio-frequency recognition system and information acquisition device, and described radio-frequency recognition system is used for the type of identification agricultural product, and described information acquisition device is used for gathering the environmental information of described agricultural product growth;
Monitor supervision platform prestores the required every data model of agricultural product growth, is used for described environmental information and data model are compared analysis, sends and the corresponding regulation and control instruction of the type of agricultural product according to comparative result;
The task actuator according to described regulation and control instruction, is adjusted the residing environmental information of agricultural product;
Mixed-media network modules mixed-media is used for the data communication between described data acquisition end, monitor supervision platform and task actuator.
2. the agricultural product industries process control system based on Internet of Things as claimed in claim 1 is characterized in that, described data acquisition end also comprises a plurality of image acquisition devices, is used for the growth course of described agricultural product is monitored in real time.
3. the agricultural product industries process control system based on Internet of Things as claimed in claim 2 is characterized in that, also is provided with the display that inserts described monitor supervision platform, and this display is used for the image information that the described image acquisition device of output is gathered.
4. the agricultural product industries process control system based on Internet of Things as claimed in claim 2 is characterized in that, described monitor supervision platform comprises master control system, picture control desk, storage server and WEB server;
Described storage server is for storing the information that described every data model and described data acquisition end are gathered;
Described master control system be used for to receive data message that mixed-media network modules mixed-media uploads and compares analysis with every data model of storage server, and carries regulation and control instruction to mixed-media network modules mixed-media;
Described picture control desk inserts described master control system, is used for the described image acquisition device of control, and to described display transport picture data;
Described WEB server is connected with described storage server, is used for the user side distributing data information to other.
5. the agricultural product industries process control system based on Internet of Things as claimed in claim 4 is characterized in that, described mixed-media network modules mixed-media comprises first routing node, gateway and secondary route node;
The information that described first routing node is used for the data acquisition end is gathered transfers to gateway;
Described gateway carries out data interaction by GPRS network and described monitor supervision platform;
Described secondary route node is used for the regulation and control instruction of gateway transmission is delivered to described task actuator.
6. the agricultural product industries process control system based on Internet of Things as claimed in claim 5, it is characterized in that, described first routing node is a plurality of ZigBee wireless routers, and each ZigBee wireless router and data acquisition end are formed the ZigBee monitoring network of hub-and-spoke configuration;
Described secondary route node is a plurality of the 2nd ZigBee wireless routers, and each the 2nd ZigBee wireless router and described task actuator are formed regulated and control network.
7. the agricultural product production run control method based on Internet of Things is characterized in that, comprises following step:
1) type by data acquisition end identification agricultural product, and collect the residing growing environment information of this agricultural products, by data transmission network with the type of agricultural product and growing environment information conveyance thereof to monitor supervision platform;
2) monitor supervision platform prestores the required data model of this agricultural products growth, and described growing environment information and date model is compared analysis, sends and the corresponding regulation and control instruction of the type of agricultural product according to comparative result;
3) the task actuator is adjusted the growing environment information of agricultural product according to the regulation and control instruction of accepting.
8. the agricultural product production run control method based on Internet of Things as claimed in claim 7, it is characterized in that, described data transmission network comprises a plurality of routing nodes and gateway, the data acquisition end is selected best routing node according to routing algorithm, best routing node and gateway are set up data transmission link, and the data message of data acquisition end collection transfers to monitor supervision platform by routing node and gateway successively.
9. the agricultural product production run control method based on Internet of Things as claimed in claim 8, it is characterized in that, when setting up the data acquisition end, the signal that this data acquisition end sends is uploaded to gateway by corresponding routing node, by gateway the data collection terminal is addressed and records routing node information, and will address and routing node information be sent to monitor supervision platform, the data on the monitor supervision platform are transmitted with the device association table are upgraded.
10. the agricultural product production run control method based on Internet of Things as claimed in claim 6, it is characterized in that, when the agricultural product growth and maturity, fruit grading situation according to these agricultural product is optimized correction to the data model that prestores on the described monitor supervision platform, obtain meeting the optimal data model of agricultural product growth, and the data model that is pre-stored in monitor supervision platform is upgraded.
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| CN104539916A (en) * | 2015-02-02 | 2015-04-22 | 广西牛博物联信息技术有限公司 | Remote early warning system for Pseudonoorda minor Munroe |
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| CN107657464A (en) * | 2017-09-29 | 2018-02-02 | 深圳前海弘稼科技有限公司 | The method for tracing and tracing system of a kind of fruit-vegetable information |
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| CN108469776A (en) * | 2018-01-31 | 2018-08-31 | 中科院微电子研究所昆山分所 | A kind of reading intelligent agriculture management system and its working method based on Internet of Things |
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| CN109407643A (en) * | 2018-12-28 | 2019-03-01 | 飞马智科信息技术股份有限公司 | A kind of industrial data acquisition system based on NB-IoT |
| CN109699271A (en) * | 2018-12-24 | 2019-05-03 | 柳州铁道职业技术学院 | System and its control method are applied in water-fertilizer precision filling in tea place |
| CN111026206A (en) * | 2019-12-24 | 2020-04-17 | 张治华 | Automatic control system for hydroponic plants |
| CN111165335A (en) * | 2020-03-09 | 2020-05-19 | 珠海格力电器股份有限公司 | Plant electrical appliance spraying control system, water culture system and control method |
| CN111226776A (en) * | 2020-01-17 | 2020-06-05 | 宁波大龙农业科技有限公司 | Automatic cultivation system based on water circulation |
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| CN114845262A (en) * | 2022-05-05 | 2022-08-02 | 江苏文友软件有限公司 | Internet of things data transmission method and system and computer readable storage medium |
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Cited By (24)
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| CN104539916B (en) * | 2015-02-02 | 2017-12-01 | 广西牛博物联信息技术有限公司 | A kind of EW system for Pseudonoorda minor insect pest |
| CN104539916A (en) * | 2015-02-02 | 2015-04-22 | 广西牛博物联信息技术有限公司 | Remote early warning system for Pseudonoorda minor Munroe |
| CN105137940A (en) * | 2015-09-01 | 2015-12-09 | 徐州工业职业技术学院 | Internet of Things greenhouse agricultural growth monitoring system |
| CN105830870A (en) * | 2016-03-24 | 2016-08-10 | 华北水利水电大学 | Remote wireless farmland monitoring system and method |
| CN106504108A (en) * | 2016-11-01 | 2017-03-15 | 合肥华贝信息科技有限公司 | A kind of operation method based on Agricultural products marketing e-commerce platform |
| CN106444939A (en) * | 2016-12-09 | 2017-02-22 | 昭平县科学技术指导站 | Control system and control method for temperature and humidity of silkworm |
| CN106657401A (en) * | 2017-02-21 | 2017-05-10 | 广西力拓农业开发有限公司 | Crop growth monitoring platform based on Internet of Things and monitoring method thereof |
| CN106657401B (en) * | 2017-02-21 | 2019-12-24 | 广西力拓米业集团有限公司 | Crop growth monitoring platform based on Internet of things and monitoring method thereof |
| CN107295089A (en) * | 2017-06-29 | 2017-10-24 | 武汉万千无限科技有限公司 | A kind of internet agricultural technology operation control system based on wechat platform |
| CN107360257A (en) * | 2017-08-23 | 2017-11-17 | 成都烈风网络科技有限公司 | A kind of Quality Tracing of Agricultural Product system based on sensor network |
| CN107389135A (en) * | 2017-08-23 | 2017-11-24 | 成都烈风网络科技有限公司 | A kind of agricultural product system for monitoring dynamic quality |
| CN107657464A (en) * | 2017-09-29 | 2018-02-02 | 深圳前海弘稼科技有限公司 | The method for tracing and tracing system of a kind of fruit-vegetable information |
| CN107918424A (en) * | 2017-11-17 | 2018-04-17 | 深圳春沐源控股有限公司 | A kind of method and system for controlling plant growth environment |
| CN108469776A (en) * | 2018-01-31 | 2018-08-31 | 中科院微电子研究所昆山分所 | A kind of reading intelligent agriculture management system and its working method based on Internet of Things |
| CN109215309A (en) * | 2018-09-30 | 2019-01-15 | 康美中药材数据信息服务有限公司 | A kind of production of crude drugs environmental warning method, electronic equipment and storage medium |
| CN109215309B (en) * | 2018-09-30 | 2020-11-06 | 康美中药材数据信息服务有限公司 | Medicinal material production environment early warning method, electronic equipment and storage medium |
| CN109699271A (en) * | 2018-12-24 | 2019-05-03 | 柳州铁道职业技术学院 | System and its control method are applied in water-fertilizer precision filling in tea place |
| CN109407643A (en) * | 2018-12-28 | 2019-03-01 | 飞马智科信息技术股份有限公司 | A kind of industrial data acquisition system based on NB-IoT |
| CN111026206A (en) * | 2019-12-24 | 2020-04-17 | 张治华 | Automatic control system for hydroponic plants |
| CN111226776A (en) * | 2020-01-17 | 2020-06-05 | 宁波大龙农业科技有限公司 | Automatic cultivation system based on water circulation |
| CN111226776B (en) * | 2020-01-17 | 2022-05-13 | 宁波大龙农业科技有限公司 | Automatic cultivation system based on water circulation |
| CN111165335A (en) * | 2020-03-09 | 2020-05-19 | 珠海格力电器股份有限公司 | Plant electrical appliance spraying control system, water culture system and control method |
| CN111640035A (en) * | 2020-05-12 | 2020-09-08 | 武汉恒鑫创赢科技有限公司 | Crop planting method and system |
| CN114845262A (en) * | 2022-05-05 | 2022-08-02 | 江苏文友软件有限公司 | Internet of things data transmission method and system and computer readable storage medium |
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