CN103616482A - Automatic injurious insect emergence period early-warning device - Google Patents
Automatic injurious insect emergence period early-warning device Download PDFInfo
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- CN103616482A CN103616482A CN201310641464.6A CN201310641464A CN103616482A CN 103616482 A CN103616482 A CN 103616482A CN 201310641464 A CN201310641464 A CN 201310641464A CN 103616482 A CN103616482 A CN 103616482A
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Abstract
The invention relates to an automatic injurious insect emergence period early-warning device. The early-warning device is characterized in that a wireless transmitter is arranged above a solar panel and is used for transmitting data to an indoor microcomputer by wireless signals, a case is internally provided with an electronic circuit board and a lead storage battery, the electronic circuit board is connected with a temperature sensor, and a probe of the temperature sensor is inserted in a plant medium to acquire real-time temperature parameters; an environment temperature acquisition system is used for acquiring temperature parameters in real time and transmitting the acquired data to an automatic injurious insect emergence period early-warning system in the microcomputer and data analysis is performed in the early-warning system; the lead storage battery is used for continuously supplying power for the electronic circuit board; the temperature sensor connected with the electronic circuit board acquires environment temperature data in real time, and data is transmitted to the indoor microcomputer through the wireless transmitter by wireless signals. The problems caused when the stem borer emergence period is calculated by an effective accumulated temperature predicting approach at present are solved, the effective accumulated temperature of stem borers in each stage and the whole generation of stem borers can be accurately computed, and the development progress of the stem borers in the fields can be predicted by real-time acquisition and transmission of external data, so that the early-warning device plays a role in early warning the full emergence period of the stem borers.
Description
Technical field
The present invention relates to a kind of Injurious insect emergence period automatic early-warning instrument, particularly the prior-warning device of moth stem insect (striped rice borer, corn borer etc.), belongs to agricultural technology field.
Background technology
Effective temperature summation forecasdt method is the important method of Injurious insect emergence period prediction, mainly by understanding a certain worm state of a kind of insect or complete threshold of development from generation to generation, effective accumulated temperature and the worm phase development progress in field at that time, according to the medial temperature condition of recent weather forecast, calculate a certain worm state of this insect or next apparition from generation to generation, so that the early warning information of insect to be provided.But when this method is directed to the research of moth stem insect, because insect is actual, survives in microclimate environment, and be restricted in application.
Report for moth stem insect effective accumulated temperature mainly concentrates on the research under the constant temperature of laboratory, but because the growth of insect is also subject to the impact of other envirment factors such as humidity, foodstuff, different under acquired results and field natural conditions.And under field nature alternating temperature, measure the effective accumulated temperature of insect, not only exist workload large, need the shortcomings such as equipment is many, operability is poor, and eat into stem insect and take food for piercing in host plant cane, residing microclimate temperature and ambient temperature are distinguished to some extent.With ambient temperature calculate the effective accumulated temperature of insect, calculate insect growth progress, to observing and predicting of insect inevitable with a situation arises the difference to some extent of insect reality, the actual application value in production practices is limited.
Summary of the invention
The object of the present invention is to provide a kind of Injurious insect emergence period automatic early-warning instrument, it has solved the problem that current use effective temperature summation forecasdt method calculates that moth stem Injurious insect emergence period exists; And can accurately calculate moth stem each worm state of insect and complete effective accumulated temperature from generation to generation, and and by Real-time Collection, the transmission of extraneous data, predict that it is at the development progress in field, for the Sheng of eating into stem insect, send out the phase and play the effect of early warning.
Technical scheme of the present invention is to realize like this, a kind of Injurious insect emergence period automatic early-warning instrument, by temperature collection system and automatic forecasting system, formed, wherein temperature collection system is by solar panels, lead accumulator, electronic circuit board, temperature sensor, wireless launcher forms, it is characterized in that: wireless launcher is arranged on the top of solar panels, with wireless signal, to being positioned over indoor microcomputer, transmit data, electronic circuit board and lead accumulator are set in cabinet, electronic circuit board is connecting temperature sensor, temperature sensor probe inserts collection real time temperature parameter in plant medium, temperature collection system is carried out the Real-time Collection of temperature parameter, then, the data that collect are passed to the Injurious insect emergence period automatic forecasting system in microcomputer, at this, carry out data analysis, the solar panels of wherein take make light energy conversion by wire, to lead accumulator, charge as electric energy, lead accumulator is electronic circuit board continued power, and the temperature sensor being connected on electronic circuit board gathers real time environment temperature data, by wireless launcher, with wireless signal, to being positioned over indoor microcomputer, transmits data.
Described Injurious insect emergence period automatic forecasting system, for completing reception, demonstration, preservation and the analysis of image data; Concrete steps are as follows: 1) environment temperature module Real-time Collection ambient temperature information, temperature in thermal module herborization stem stalk in plant; By transmission in every 10 minutes frequency once, the information exchange of two module collections is crossed to wireless communication module and be transferred in microsystem, carry out real time record, gather union; 2) in microsystem, store each worm state threshold of development of target pest, effective accumulated temperature, and the condition selecting worm state occurring in field according to insect; 3) system shows ambient temperature and the interior temperature of plant haulm collecting in real time, show and record threshold of development, the effective accumulated temperature of temperature, the temperature difference, test duration and insect worm state of living in measured ambient temperature of each acquisition time, plant haulm, and can be converted into EXCEL stored in file format by report generation function; 4) when target pest effective accumulated temperature meets the numerical value of next worm state, the automatic redirect worm of system state, user can be according to shown information, and combining target insect is in this annual relevant information such as occurrence degree, send in time the early warning information of insect, take in time corresponding prophylactico-therapeutic measures.
Good effect of the present invention is: the accuracy that has improved moth stem Injurious insect emergence period prediction, have stronger ageing, filled up the shortcoming and defect part of former application effective temperature summation forecasdt method in the prediction of moth stem insect, workload, equipment needed thereby are all less, simple, a use is observed and predicted by applicable basic unit, has higher actual application value; Be applicable to the prediction of emergence period of other hazard approach insect, the further perfect practical and technical methods of application effective temperature summation forecasdt method in the prediction of Injurious insect emergence period.
Accompanying drawing explanation
Fig. 1 is the temperature collection system schematic of Injurious insect emergence period automatic early-warning instrument.
Fig. 2 is the work schematic diagram of Injurious insect emergence period automatic early-warning instrument.
Embodiment
Below in conjunction with accompanying drawing, the present invention will be further described: as shown in Figure 1, by temperature collection system and automatic forecasting system, formed, wherein temperature collection system is by solar panels 2, lead accumulator 4, electronic circuit board 3, temperature sensor 5, wireless launcher 1 forms, it is characterized in that: wireless launcher 1 is arranged on the top of solar panels 2, with wireless signal, to being positioned over indoor microcomputer, transmit data, electronic circuit board 3 and lead accumulator 4 are set in cabinet, electronic circuit board 3 is connecting temperature sensor 5, temperature sensor 5 probes insert collection real time temperature parameter in plant medium, temperature collection system is carried out the Real-time Collection of temperature parameter, then, the data that collect are passed to the Injurious insect emergence period automatic forecasting system in microcomputer, at this, carry out data analysis, the solar panels 2 of wherein take make light energy conversion as electric energy by wire to lead accumulator 4 charging, lead accumulator 4 is electronic circuit board 3 continued powers, the temperature sensor 5 being connected on electronic circuit board 3 gathers real time environment temperature data, by wireless launcher 1, with wireless signal, to being positioned over indoor microcomputer, transmits data.
Be illustrated in figure 2 the circuit block diagram of Injurious insect emergence period automatic early-warning instrument, by thermal module, solar panels, lead accumulator power management module in environment temperature module, plant, the data that collect are passed to the Injurious insect emergence period automatic forecasting system in microcomputer, through state indicating module and wireless communication module show in real time insect in field residing worm state and early warning information.Injurious insect emergence period automatic early-warning instrument descends the work schematic diagram of each ingredient of temperature collection system and Injurious insect emergence period automatic forecasting system in working order.2.1 is temperature collection system, carries out the Real-time Collection of ambient temperature data in this part, and transmits the data that collect.2.2 is insect Automatic Telemetric and Precast System, completes the reception of image data, and carry out data analysis by microcomputer in this part, and the temperature data of demonstration real time temperature data, each time point and insect be residing worm state and development progress in field.Wherein the definite of different insect threshold of development, effective accumulated temperature measures according to this invention, and is stored as basic data for choosing.User is information according to system suggestion, considers other relevant informations such as this annual actual generating capacity of insect, takes corresponding prophylactico-therapeutic measures.
Described Injurious insect emergence period automatic forecasting system, for completing reception, demonstration, preservation and the analysis of image data; Concrete steps are as follows: 1) environment temperature module Real-time Collection ambient temperature information, temperature in thermal module herborization stem stalk in plant; By transmission in every 10 minutes frequency once, the information exchange of two module collections is crossed to wireless communication module and be transferred in microsystem, carry out real time record, gather union; 2) in microsystem, store each worm state threshold of development of target pest, effective accumulated temperature, and the condition selecting worm state occurring in field according to insect; 3) system shows ambient temperature and the interior temperature of plant haulm collecting in real time, show and record threshold of development, the effective accumulated temperature of temperature, the temperature difference, test duration and insect worm state of living in measured ambient temperature of each acquisition time, plant haulm, and can be converted into EXCEL stored in file format by report generation function; 4) when target pest effective accumulated temperature meets the numerical value of next worm state, the automatic redirect worm of system state, user can be according to shown information, and combining target insect is in this annual relevant information such as occurrence degree, send in time the early warning information of insect, take in time corresponding prophylactico-therapeutic measures.
Take on July 10th, 9 days 1 July in 2013 data acquisition, to analyze be example, goal in research insect is rice-stem borer.Be positioned over outdoor Injurious insect emergence period automatic early-warning instrument and by temperature collection system, complete the collection of temperature, use 2 temperature sensor probes, 1 is inserted in paddy rice cane, and another 1 is positioned in extraneous physical environment.The real time temperature parameter collecting is transferred in the microsystem of indoor placement with wireless signal form.Microsystem relies on Automatic Telemetric and Precast System to realize reception and the analysis of data.The time interval of temperature acquisition, transmission is set to 10min, and it is standard that base measuring temperature be take the boiling temperature (100 ℃) that 1 normal atmosphere depresses water.In system, input in advance threshold of development (13.75 ℃) and the effective accumulated temperature (322.5 days/degree) of this worm state (larval phase) of rice-stem borer.0: 5: 44 on the 10th July in 2013 record data of take are example, and this time dot system shows that real-time ambient temperature is that in 19.38 ℃, plant haulm, temperature is 20.82 ℃.The record format of this time point is as follows, sequence number: 88, worm state: larva, ambient temperature: 19.38 ℃, the interior temperature of plant haulm: 20.82 ℃, the temperature difference: 1.45 ℃, threshold of development: 13.75, effective accumulated temperature: 322.5 days/degree, testDate: 2013-07-10, the test duration: 00:05:44.Each time point data measured within the scope of experimental period are converted into EXCEL file layout by report generation function, add up known, in writing time, ambient temperature is between 18.50~29.62 ℃, average is 23.20 ℃, and in plant haulm, temperature is between 19.24~30.05 ℃, and average is 23.47 ℃, the temperature difference is between-0.59~1.48 ℃, and average is 0.27 ℃.When the effective accumulated temperature accumulating when rice-stem borer meets the required numerical value of next worm state (pupa), system is automatic redirect worm state, and adds up according to threshold of development and the effective accumulated temperature of next worm state.
Claims (2)
1. an Injurious insect emergence period automatic early-warning instrument, by temperature collection system and automatic forecasting system, formed, wherein temperature collection system is comprised of solar panels, lead accumulator, electronic circuit board, temperature sensor, wireless launcher, it is characterized in that: wireless launcher is arranged on the top of solar panels, with wireless signal, to being positioned over indoor microcomputer, transmit data, electronic circuit board and lead accumulator are set in cabinet, electronic circuit board is connecting temperature sensor, and temperature sensor probe inserts collection real time temperature parameter in plant medium; Temperature collection system is carried out the Real-time Collection of temperature parameter, then, the data that collect are passed to the Injurious insect emergence period automatic forecasting system in microcomputer, at this, carry out data analysis, the solar panels of wherein take make light energy conversion by wire, to lead accumulator, charge as electric energy, lead accumulator is electronic circuit board continued power, and the temperature sensor being connected on electronic circuit board gathers real time environment temperature data, by wireless launcher, with wireless signal, to being positioned over indoor microcomputer, transmits data.
2.
according to claim 1an Injurious insect emergence period automatic early-warning instrument, is characterized in that described Injurious insect emergence period automatic forecasting system, for completing reception, demonstration, preservation and the analysis of image data; Concrete steps are as follows: 1) environment temperature module Real-time Collection ambient temperature information, temperature in thermal module herborization stem stalk in plant; By transmission in every 10 minutes frequency once, the information exchange of two module collections is crossed to wireless communication module and be transferred in microsystem, carry out real time record, gather union; 2) in microsystem, store each worm state threshold of development of target pest, effective accumulated temperature, and the condition selecting worm state occurring in field according to insect; 3) system shows ambient temperature and the interior temperature of plant haulm collecting in real time, show and record threshold of development, the effective accumulated temperature of temperature, the temperature difference, test duration and insect worm state of living in measured ambient temperature of each acquisition time, plant haulm, and can be converted into EXCEL stored in file format by report generation function; 4) when target pest effective accumulated temperature meets the numerical value of next worm state, the automatic redirect worm of system state, user can be according to shown information, and combining target insect is in this annual relevant information such as occurrence degree, send in time the early warning information of insect, take in time corresponding prophylactico-therapeutic measures.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106444581A (en) * | 2016-11-02 | 2017-02-22 | 中国农业大学 | Greenhouse insect damage remote monitoring method and server |
CN108665111A (en) * | 2018-05-16 | 2018-10-16 | 陈孟禹 | Phase prediction technique is prevented based on the development of worm state and the diversiform-leaved poplar spring looper of temperature relation |
CN108764542A (en) * | 2018-05-16 | 2018-11-06 | 贾翔 | The remote sensing prediction method of phase and occurrence quantity occur for diversiform-leaved poplar spring looper |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5343652A (en) * | 1992-06-12 | 1994-09-06 | Johnson W Dudley | Method and apparatus for laser pest control |
US7069188B2 (en) * | 2000-08-22 | 2006-06-27 | Eye On Solutions, Llc | Information management system |
EP1723849A1 (en) * | 2005-04-29 | 2006-11-22 | Servicroma, S.L. | Crop pest repelling device |
CN101052147A (en) * | 2007-05-24 | 2007-10-10 | 中国科学院合肥物质科学研究院 | Intelligent early warning system for field crop pest and disease disasters |
WO2008082541A1 (en) * | 2006-12-19 | 2008-07-10 | Dow Agrosciences, Llc | High reliability pest detection |
CN101840214A (en) * | 2010-02-03 | 2010-09-22 | 北京依科曼生物技术有限公司 | Real-time remote monitoring system for pests and use |
CN103134551A (en) * | 2012-07-23 | 2013-06-05 | 丁昱 | System of facility vegetable farmland environmental monitoring and standardized production based on internet of things |
-
2013
- 2013-12-04 CN CN201310641464.6A patent/CN103616482B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5343652A (en) * | 1992-06-12 | 1994-09-06 | Johnson W Dudley | Method and apparatus for laser pest control |
US7069188B2 (en) * | 2000-08-22 | 2006-06-27 | Eye On Solutions, Llc | Information management system |
EP1723849A1 (en) * | 2005-04-29 | 2006-11-22 | Servicroma, S.L. | Crop pest repelling device |
WO2008082541A1 (en) * | 2006-12-19 | 2008-07-10 | Dow Agrosciences, Llc | High reliability pest detection |
CN101052147A (en) * | 2007-05-24 | 2007-10-10 | 中国科学院合肥物质科学研究院 | Intelligent early warning system for field crop pest and disease disasters |
CN101840214A (en) * | 2010-02-03 | 2010-09-22 | 北京依科曼生物技术有限公司 | Real-time remote monitoring system for pests and use |
CN103134551A (en) * | 2012-07-23 | 2013-06-05 | 丁昱 | System of facility vegetable farmland environmental monitoring and standardized production based on internet of things |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106444581A (en) * | 2016-11-02 | 2017-02-22 | 中国农业大学 | Greenhouse insect damage remote monitoring method and server |
CN108665111A (en) * | 2018-05-16 | 2018-10-16 | 陈孟禹 | Phase prediction technique is prevented based on the development of worm state and the diversiform-leaved poplar spring looper of temperature relation |
CN108764542A (en) * | 2018-05-16 | 2018-11-06 | 贾翔 | The remote sensing prediction method of phase and occurrence quantity occur for diversiform-leaved poplar spring looper |
CN108665111B (en) * | 2018-05-16 | 2021-08-13 | 陈孟禹 | Populus diversifolia spring inchworm control period prediction method based on insect state development and temperature relationship |
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