CN113016743A - Intelligent monitoring system for locust situation investigation - Google Patents
Intelligent monitoring system for locust situation investigation Download PDFInfo
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- CN113016743A CN113016743A CN202110262394.8A CN202110262394A CN113016743A CN 113016743 A CN113016743 A CN 113016743A CN 202110262394 A CN202110262394 A CN 202110262394A CN 113016743 A CN113016743 A CN 113016743A
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M1/00—Stationary means for catching or killing insects
- A01M1/02—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M1/00—Stationary means for catching or killing insects
- A01M1/02—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects
- A01M1/026—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects combined with devices for monitoring insect presence, e.g. termites
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M1/00—Stationary means for catching or killing insects
- A01M1/02—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects
- A01M1/04—Attracting insects by using illumination or colours
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Abstract
The invention relates to an intelligent locust situation investigation monitoring system, and belongs to the field of plant mechanical protection. The structure includes: the portable intelligent trapping device comprises a control module, a trapping module, an identification module, a data analysis module, an energy supply module and a portable main box body; the method is characterized in that: the control module can trap the locust to the identification module area through the control of the trapping module; the recognition module recognizes the locust information and sends the recognition information to the data analysis module; the data analysis module analyzes data according to an algorithm, and relevant data information can be displayed at a computer end or a mobile end according to a designated uploading or storing way. The locust monitoring system can be used for monitoring the locust in key occurrence areas of the locust, can realize dynamic real-time investigation and intelligent monitoring of the occurrence of the locust situation, data analysis and prevention and control guidance, has the advantages of good portability, strong real-time performance, high intelligence and high accuracy, and can meet the actual requirements of agriculture and the grassland industry on locust monitoring and control.
Description
Technical Field
The invention belongs to the field of plant protection machinery, and particularly relates to an intelligent locust situation investigation monitoring system.
Background
Locust, commonly known as locust, is distributed in tropical and temperate grassland and desert areas all over the world, and has a large variety, and more than 1000 kinds of locust exist in China. Locusts mainly include migratory locusts and migratory locusts. The locusts migratorius in China comprises 3 locusts migratorius in east Asia, locusts migratorius in Asia and locusts migratorius in Tibet, wherein the locusts migratorius in east Asia has the widest distribution range and the most serious harm in China, is the most main locusts type causing locusts disasters in China, mainly harms gramineous plants and is an important pest in agriculture, forestry and grassland industry.
For the locust pest situation monitoring, at present, two means of manual monitoring and equipment monitoring exist, the manual monitoring is mainly used for capturing, classifying and counting according to the characteristics of a target locust, and a large amount of manpower and material resources are consumed in the monitoring process; the remote sensing technology is usually adopted for monitoring in equipment monitoring, although the information of the habitat parameters of the locust occurrence area in a large range can be provided, the monitoring and statistics of relevant data of different stages of the locust in different development stages are lacked, so that the predictability of the locust occurrence trend is poor, and the development of locust control work can not be effectively guided.
In order to solve the problems, an intelligent locust pest situation investigation monitoring system needs to be developed to realize the pest situation investigation and intelligent monitoring of the locust.
The invention content is as follows:
according to the invention, an intelligent monitoring system for locust situation investigation is developed according to actual requirements of locust situation investigation and intelligent monitoring, so that the defects of the prior art are overcome, dynamic real-time investigation, intelligent monitoring, data analysis and prevention and control guidance of the locust situation can be realized in key occurrence areas of the locust, the intelligent monitoring system has the advantages of good portability, strong real-time performance, high intelligence and high accuracy, and can meet the actual requirements of monitoring and prevention of the locust in agriculture and the grassland industry.
The technical scheme is as follows:
the utility model provides an locust situation investigation intelligent monitoring system, its structure includes: the portable intelligent trapping device comprises a control module, a trapping module, an identification module, a data analysis module, an energy supply module and a portable main box body; the method is characterized in that:
the control module can trap the locust to the identification module area through the control of the trapping module;
the recognition module recognizes the locust information and sends the recognition information to the data analysis module;
and the data analysis module is used for carrying out data analysis according to an algorithm and displaying related data information on a computer end or a mobile end according to a specified uploading or storing way.
The invention relates to an intelligent monitoring system for locust situation investigation, which integrates equipment control, locust trapping, locust information identification and data analysis, the intelligent monitoring system is placed in a monitoring area, a trapping module can attract locust in a target area to an appointed area, the appointed area can identify locust information, the information comprises locust types, locust ages, locust quantity and the like, the identification information is subjected to statistical analysis of the monitored information and the identified information through a related algorithm of a data analysis module, and related data is displayed on an appointed platform.
Furthermore, the control module is positioned in the main box body and comprises a controller and a display screen, and the control module is respectively connected with the trapper module, the identification module, the data analysis module and the energy supply module and is used for displaying the working conditions of the modules in real time and controlling the operation of the modules.
The control module mainly performs overall control on the system and can perform individual control on a single module, and the control module can record and adjust the starting operation, the stopping operation and the operation state of the whole system and each module. The related control system can display the whole state and related data on the display screen.
Further, the trap module comprises: a light source trapping piece and an attractant trapping piece; wherein, light lures a set of piece and includes: the support that can accomodate fixes the light band on the support to and the bottom plate, wherein, the light band can be perpendicular or parallel with the bottom plate, and the light band contains yellow, the orange light source of two kinds of wave bands, is respectively: 580-596nm, 597-620nm, the light sources of the two wave bands are stroboscopic alternately according to a certain time interval.
The trapping module adopts a plurality of trapping modes, comprises a light source trapping device and an attractant trapping device, wherein in the light source trapping device, the bracket where the light source is positioned can be selectively erected or put down according to requirements so as to store the bracket. When the support is supported, the support is vertical to the bottom plate, and when the support is put down, the support can be accommodated in the groove at the periphery of the bottom plate. Selecting two light sources with specific wave bands, mainly screening out proper wave bands with the best trapping effect according to experiments carried out on the tendency of the specific light source of the locust, and trapping the target pests of the locust in different irradiation modes according to the mode that each wave band alternately flickers so as to achieve the best trapping effect.
Further, the attractant trap comprises: the bait box and the openable cover plate; the surface of the cover plate is provided with a plurality of hole-shaped structures.
Besides the light source trapping, another trapping mode is added, the attractant trapping mode is adopted, the attractant can be pheromone attractant and food attractant of the locust, the attractant can be placed in the attractant box, the attractant box can be closed or opened through a cover plate on the attractant box, and the plurality of porous structures on the surface of the cover plate can facilitate the diffusion of the related smell of the attractant substance so as to achieve the purpose of trapping the target locust. The trapping mode and the light source trapping mode can be mutually complementary, can be used independently, and can also be used in a combined mode to achieve a better trapping effect.
Further, the identification module comprises an image acquisition part and an image identification part, wherein the image acquisition area of the image acquisition part comprises: a base plate, a cover plate; the image recognition part records and accumulates locust pictures and characteristics of the locust, recognizes the characteristics of the locust by adopting a recognition algorithm related to the characteristics of the locust, includes types and population types of the locust, body sizes and age stages of the locust, carries out monitoring data and related judgment according to recognition results, and classifies according to the results. Meanwhile, the algorithm can be optimized according to the accumulation of the characteristics of the continuous locust to realize the continuous improvement of the identification accuracy.
Further, the data analysis module judges, summarizes and analyzes the data according to the information identified by the identification module; the analyzed data information may include: counting the number of locusts, analyzing the variation trend of the density of the locusts and the correlation between the environment and the locusts; judging a social type and a non-social type; control of suggested feedback.
The data analysis module mainly analyzes and processes the monitored locust data, and contrasts and analyzes the following information: the locust occurrence quantity, occurrence trend, density change, occurrence characteristics, locust species and correlation analysis with meteorological factors in the same or different areas in the same or different years. And judging the possible occurrence trend of the locust according to the data analysis condition and the occurrence condition of the locust over the years and the existing occurrence condition of the locust, and giving appropriate control guidance and related suggestions.
Further, the energy supply module structure includes: solar panel, battery, voltage regulator device and AC/DC converter. The energy supply module adopts a plurality of supply modes to be selectable, and can meet different field requirements.
Furthermore, the control module, the trapping module, the identification module and the energy supply module are respectively positioned inside the portable main box body; the portable main box body also comprises: the system comprises a positioning module, an environment monitoring module and an alarm module;
the positioning module comprises a GPS positioning system and can determine and identify the position of the system;
the environment monitoring module, the monitoring index can contain multiple meteorological factors: temperature, humidity, illumination, wind speed, precipitation and the like, and also can customize meteorological factor indexes according to the requirements of a monitoring area;
the alarm module can give an alarm in real time when the system fails; the system fault alarm mainly means that a system or a certain module in the system cannot be normally started due to the fact that a fault occurs in the system or a problem inside the system caused by external force, and real-time alarm is carried out according to the time when the fault occurs.
Furthermore, telescopic supporting legs and moving wheels are arranged outside the portable main box body; the supporting legs can fix the portable main box body and can also be stored in a groove outside the main box body.
The telescopic supporting leg can be accomodate mainly in order to carry out the demand for the locust monitoring in the recess, and the removal of the system of being convenient for is convenient for fix when monitoring, increases the suitability in the field of system.
Furthermore, the monitoring system can be placed in an locust occurrence area, real-time monitoring of locust density in the area is carried out, and the monitoring system can be placed in any place needing monitoring according to requirements.
In conclusion, the invention provides an intelligent monitoring system for locust situation investigation, which combines the two manners of light source trapping and attractant trapping, and the two trapping manners can be mutually supplemented or used independently, so that the trapping requirements of different types of locust and different field environments can be met. On the light source trapping, the wave band with the best trapping effect on the locust is selected, and the best trapping effect is achieved by adopting an alternate irradiation mode. The method comprises the steps of luring a target locust to a specific area for locust identification, classifying the type and the age of the locust according to the identified characteristics, carrying out statistical analysis on monitored information and identified information of related data information through a data analysis module, predicting the occurrence trend of the target locust according to the statistical analysis result, and issuing prevention and control suggestions and guidance, wherein the related data information can be checked at a specified client. Simultaneously, for the convenience of this demand of realizing the mobile monitoring of system, portable main tank body and removal wheel, entire system portability is strong, for different field environment in the adaptation monitoring process, reaches the monitoring effect of preferred, and the supporting leg of accessible system carries out systematic fixed, reduces the interference of external environment to the system. The intelligent monitoring system for locust situation investigation can be used for monitoring the target locust, the recognition accuracy can reach 95%, the accuracy for monitoring the occurrence trend of the target pests can reach more than 100%, and the intelligent monitoring and recognition requirements of the field locust can be met.
Drawings
Exemplary embodiments of the invention are described in detail in connection with the following drawings, wherein:
fig. 1 schematically shows a schematic structural diagram of an intelligent locust situation investigation monitoring system according to an embodiment of the invention;
FIG. 2 is a schematic view showing the workflow of an intelligent monitoring system for locust situation investigation according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a light source trapping part of the locust pest situation investigation intelligent monitoring system according to the embodiment of the invention;
fig. 4 is a schematic structural diagram of an attractant trap of the locust pest situation investigation intelligent monitoring system according to the embodiment of the invention;
FIG. 5 is a schematic diagram showing comparative analysis between the intelligent monitoring system for investigating locust pest situation in example 1 of the present invention and the monitoring situation of the prior art;
1-a control module; 2-a trapping module; 3-an identification module; 4-a data analysis module; 5-an energy supply module; 6-portable main box body; 7-a positioning module; 8-an environment monitoring module; 9-an alarm module;
11-a controller; 12-a display screen; 21-light source trapping part; 211-light source holder; 212-optical band; 213-a base plate; 22-an attractant trap; 221-a lure box; 222-a cover plate; 223-a pore-like structure; 31-an image acquisition member; 61-support legs; 62-moving wheels.
The specific implementation mode is as follows:
the present invention will be further described with reference to the following examples, but the embodiments of the present invention are not limited to the following examples.
Example 1: the field test for carrying out intelligent monitoring by using the intelligent monitoring system for locust situation investigation of the invention
The intelligent locust situation investigation monitoring system is placed in the field to carry out the insect situation investigation and intelligent monitoring of the target pests, namely the locust; the storage battery of the energy control module 5 in the system can be fully charged, the system is placed on the grassland in the field, the system is opened and is fixed on the ground by the support legs 61, the cover plate 222 of the attractant trapping piece 22 is opened, the attractant of the target locust is placed in the attractant box 221, and the cover plate 222 is closed. Meanwhile, the light source trapping piece 21 can be opened, the light source support 211 is taken out from the accommodating position of the groove, the light band 212 fixed on the light source support is opened, light of the light band can irradiate on the bottom plate 213 perpendicular to the light band, the bottom plate and the cover plate are located on the same plane, odor emitted by the locust attractant from the cover plate hole-shaped structure 223, and the light source of the light band can attract target locusts to the cover plate or the bottom plate.
Shooting the number and relevant characteristics of the attracted target locust by the image acquisition part; and the photographed image is identified by the image identification piece through a correlation algorithm, comprising: and identifying the related characteristics of pest category, pest body size, pest age, social state and the like.
In the process of identification, the position of the system is read, and meteorological information of the system is monitored, wherein the meteorological information comprises meteorological indexes such as temperature, humidity, illumination, wind speed and precipitation.
According to the monitored position information, the meteorological information and the identified pest information, statistics and correlation analysis of various monitoring data are carried out, the occurrence trend of the target locust is predicted, relevant prevention and control guidance and suggestions are given, the relevant information is issued on a specified platform, and information inquiry can be carried out from a specified account.
The system is placed in the field of autonomous State Ma chestnut slope county of Wenshan Zhuang Miao nationality in Yunnan province for field monitoring of the locust, and compared with the prior art, the prior art mainly monitors the target locust in the peripheral area where the system is placed in a manual monitoring mode.
Table 1: the system and the monitoring condition comparison analysis meter of the prior monitoring technology
| Time | Book series | Existing monitoring techniques |
| 2020-06-17 | 46 | 32 |
| 2020-06-18 | 39 | 30 |
| 2020-06-19 | 52 | 38 |
| 2020-06-20 | 42 | 28 |
| 2020-06-21 | 37 | 25 |
| 2020-06-22 | 56 | 37 |
| 2020-06-23 | 51 | 34 |
| 2020-06-24 | 62 | 43 |
| 2020-06-25 | 43 | 29 |
| 2020-06-26 | 35 | 23 |
| 2020-06-27 | 47 | 31 |
| 2020-06-28 | 61 | 40 |
| 2020-06-29 | 27 | 22 |
| 2020-06-30 | 38 | 25 |
| 2020-07-01 | 54 | 36 |
| 2020-07-02 | 53 | 35 |
| 2020-07-03 | 58 | 39 |
| 2020-07-04 | 39 | 26 |
| 2020-07-05 | 42 | 28 |
As can be seen from table 1 and fig. 5: compared with the prior art, the system has obvious consistency on monitoring the occurrence trend of the locust, and can reflect the occurrence trend of the target locust; however, the system has obvious advantages in the trapping quantity of the target locusts, and the quantity of the target locusts attracted every day is more than that of the pests attracted by the prior art, so that the structural design of the system is more favorable for the attraction of the target locusts than that of the prior art.
Meanwhile, in the period, in the weather with heavy rainfall and wind power, when the rainfall is less than 25mm and the wind power is less than 6 levels, the system can still work normally and has strong field applicability.
Example 2: the light source trapping part of the intelligent locust situation investigation monitoring system is used for carrying out intelligent monitoring field tests with the existing locust light source trapping technology.
The locust used for the test is a locust source of locusts migratorius in east Asia captured in the field, and is respectively placed in 2 transparent locust feeding areas for natural adaptation, wherein the environment of each locust feeding area is consistent, and the quantity of the locusts is the same.
The system is placed in one locust feeding area, and only the system turns on the light source trapping part 21 to perform a locust tropism test, wherein no locust attractant substance is placed in the attractant trapping part of the system.
The existing locust light source trapping technology is placed in another locust raising area, and devices are turned on to perform locust tropism tests.
The results show that:
the system and the existing locust light source trapping technology can both cause the phototaxis effect of the locust, but the phototaxis of the system is stronger for the locust, the alternating stroboscopic stimulation of different spectra of the system can cause the visual induction orientation of most of the locust in the feeding area, more than 90% of the locust can be stimulated to carry out phototaxis reaction, the locust can be observed to gradually crawl to the induction light source under the trapping of the light source trapping part of the system, or the circuitous property gradually approaches to the light source, the phototaxis gathering effect of the locust population can be caused, the gathered locust is counted for many times, and the average phototaxis gathering rate can reach more than 75.
In the attraction range of the light source, the prior art can stimulate the phototactic reaction of the locust within the range of 25 meters of the light source under the light source with the same power, and the phototactic reaction of the locust is not obvious within the range of more than 25 meters. The light source trapping part of the system can still stimulate the phototactic reaction of the locust within the range of 35 meters around the light source.
Example 3: the field test for carrying out intelligent monitoring by using the intelligent monitoring system for locust situation investigation of the invention
The locust pest situation investigation intelligent monitoring system is used for carrying out pest situation investigation and intelligent monitoring on a target pest locust in a field, the system is placed on the field in the field, the system is opened and is fixed on the ground by the supporting legs 61, the cover plate 222 of the attractant trapping piece 22 is opened, an attractant of the target locust is placed in the attractant box 221, and the cover plate 222 is closed. Meanwhile, the light source trapping piece 21 can be opened, the light source support 211 is taken out from the accommodating position of the groove, the light band 212 fixed on the light source support is opened, light of the light band can irradiate on the bottom plate 213, the bottom plate and the cover plate are located on the same plane, odor emitted by the locust attractant from the cover plate hole-shaped structure 223 can be induced to the cover plate or the bottom plate through the light source of the light band.
Shooting the number and relevant characteristics of the attracted target locust by the image acquisition part; and the photographed image is identified by the image identification piece through a correlation algorithm, comprising: identification of related characteristics such as pest category, pest age and social state.
In the process of identification, the position of the equipment is read, and meteorological information of the system is monitored, wherein the meteorological information comprises indexes such as temperature, humidity, illumination, wind speed and precipitation.
According to the monitored position information, the meteorological information and the identified pest information, statistics and correlation analysis of various monitoring data are carried out, the occurrence trend of the target locust is predicted, relevant prevention and control guidance and suggestions are given, the relevant information is issued on a specified platform, and information inquiry can be carried out from a specified account.
The system is placed in the field of the union of silvegrass of the inner Mongolia for field monitoring of the locust, the picture of the locust shot in the monitoring process is identified, and the locust is classified according to the movement characteristics of the locust in the identification process, and the method comprises the following steps: the number of the locust crawling on the device and the number of the jumping locust, and the locust age is counted in the process of identification.
And meanwhile, manually identifying the shot pictures by professionals, counting locust data of each picture according to the classification, and calculating the error rate by taking the manually identified data as a reference.
Table 2 identification situation table for different motion states by this system and manual identification
As can be seen from table 1, in the recognition of 30 groups of images, for the recognition of the locust in the crawling state, 30 groups of images were manually recognized: 485 locusts of different ages are totally recognized, the number of the locusts which can be recognized by the system is 469, the error rate of recognition is only 3.30%, and the recognition accuracy can reach more than 96.7%.
For the identification of the migratory status locusts, 30 groups of images share 129 locust numbers of different stages of the migratory status, the system can identify the 122 locust numbers, the error rate of the identification is only 5.43 percent, and the identification accuracy is 94.57 percent.
When the pictures with errors in the 30 groups are analyzed, the number of locusts in the images is found to be large, the error probability is high, the certain relation with the sticking and stacking of the locusts in the images is possible, or the distinction degree of the crawling or jumping state is not obvious. And the locust number in the image is small, the recognition accuracy is high, and the error rate is low.
In addition, the system can classify the monitored locusts according to the age, such as the statistics of the quantity of the locusts at 1 age, 2 ages, 3 ages, 4 ages and 5 ages, marks the locusts and locusts nymphs which are manually distinguished into good ages, each 100 locusts and locusts nymphs at each age are divided into 500 groups at random according to different ages, 50 locusts in each group are thrown on the monitoring system for monitoring and identification, the classification of the ages is carried out, the accuracy of the identification of the ages is counted, each group can be thrown for multiple times in the locust throwing process, and the locusts with the same or different quantities are thrown each time.
The results show that: on the recognition of locusts and locusts nymphs, 10 groups of locusts and 50 locusts in each group, the recognition accuracy is 95.2%, wherein the recognition error does not occur in the recognition data of 5 th of 1 st, the recognition accuracy can reach 100%, the recognition errors occur in the recognition classification of 2 th, 3 th and 4 th of locusts, the recognition error number of the 2 nd locusts nymphs is 10, the recognition error number of the 3 rd locusts nymphs is 6, the recognition error number of the 4 th locusts is 8, the recognition accuracy is 90%, 94% and 92%, the analysis reason and the apparent degree of the characteristic of the locusts changing in the age of the locusts are in a certain relation, and subsequently, along with the increase of the image of the locusts, the recognition rate can be improved through the deep learning of a related recognition module.
The above description is not meant to be limiting, it being noted that: it will be apparent to those skilled in the art that various changes, modifications, additions, substitutions and limited experimentation can be made without departing from the spirit and scope of the invention.
Claims (10)
1. The utility model provides an locust situation investigation intelligent monitoring system, its structure includes: the portable intelligent trapping device comprises a control module, a trapping module, an identification module, a data analysis module, an energy supply module and a portable main box body; the method is characterized in that:
the control module can trap the locust to the identification module area through the control of the trapping module;
the recognition module recognizes the locust information and sends the recognition information to the data analysis module;
and the data analysis module is used for carrying out data analysis according to an algorithm and displaying related data information on a computer end or a mobile end according to a specified uploading or storing way.
2. The monitoring system of claim 1, wherein: the control module is positioned in the main box body and comprises a controller and a display screen, and the control module is respectively connected with the trapper module, the identification module, the data analysis module and the energy supply module and is used for displaying and operating and controlling the working conditions of the modules in real time.
3. The monitoring system of claim 1, wherein: the trap module comprises: a light source trapping piece and an attractant trapping piece; wherein, light source lures a collection piece and includes: the light source support that can accomodate fixes the light band on the support to and the bottom plate, wherein, the light band can be perpendicular or parallel with the bottom plate, and wherein, the light band contains yellow, the orange light source of two kinds of wave bands, is respectively: 580-596nm, 597-620nm, the light sources of the two wave bands are stroboscopic alternately according to a certain time interval.
4. The monitoring system of claim 3, wherein: the attractant trap comprises: the bait box and the openable cover plate; the surface of the cover plate is provided with a plurality of hole-shaped structures.
5. The monitoring system of claim 3 or 4, wherein: the identification module contains image acquisition spare, image identification spare, and wherein, image acquisition spare's image acquisition region contains: a base plate, a cover plate; the image recognition part records and accumulates locust pictures and characteristics of the locust, and recognizes and judges the characteristics of the locust by adopting a certain recognition algorithm.
6. The monitoring system of claim 1, wherein: the data analysis module judges, summarizes and analyzes the data according to the information identified by the identification module; the analyzed data information may include: counting the number of locusts, analyzing the variation trend of the density of the locusts and the correlation between the environment and the locusts; judging a social type and a non-social type; control of suggested feedback.
7. The monitoring system of claim 1, wherein: the energy delivery module structure includes: solar panel, battery, voltage regulator device and AC/DC converter.
8. The monitoring system of claim 1, wherein: the control module, the trapping module, the identification module and the energy supply module are respectively positioned in the portable main box body; the portable main box body also comprises: the system comprises a positioning module, an environment monitoring module and a fault alarm module;
the positioning module comprises a GPS positioning system and is used for determining and identifying the position of the system;
the environment monitoring module, the monitoring index can contain multiple meteorological factors: temperature, humidity, illumination, wind speed, precipitation;
the alarm module can give an alarm in real time when the system fails.
9. The monitoring system of claim 1, wherein: the portable main box body is externally provided with telescopic supporting legs and moving wheels; the supporting legs can fix the portable main box body and can also be stored in a groove outside the main box body.
10. The monitoring system of claim 1, wherein: the monitoring system can be placed in an locust generation area, real-time monitoring of locust density in the area is carried out, and the monitoring system can be placed in any place needing monitoring according to requirements.
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| CN113475473A (en) * | 2021-08-03 | 2021-10-08 | 北京依科曼生物技术股份有限公司 | Tenebrio intelligent monitoring device based on gravity induction counting |
| CN113536011A (en) * | 2021-08-09 | 2021-10-22 | 河北科技师范学院 | Plant protection method and device for investigating field insects |
| CN114698613A (en) * | 2022-04-13 | 2022-07-05 | 福建省农业科学院科技干部培训中心 | Method for evaluating prevention effect of solenopsis invicta |
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| CN113536011B (en) * | 2021-08-09 | 2022-08-19 | 河北科技师范学院 | Plant protection method and device for investigating field insects |
| CN114698613A (en) * | 2022-04-13 | 2022-07-05 | 福建省农业科学院科技干部培训中心 | Method for evaluating prevention effect of solenopsis invicta |
| CN114698613B (en) * | 2022-04-13 | 2023-02-24 | 福建省农业科学院科技干部培训中心 | Method for evaluating prevention effect of solenopsis invicta |
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