Pest and disease prevention and control system based on pheromone technology

Abstract

The invention discloses a pest control system based on a pheromone technology, and belongs to the technical field of pest control, and the pest control system comprises the following steps: filling different pheromone liquids into an equipment shell, adjusting the orientation of a nozzle according to pest types corresponding to different types of pheromones, and starting equipment in a field; the pheromone liquid emits pheromones through the slow release device to attract corresponding types of pests to approach; the pests fall off after being killed by the high-voltage power grid, and after the infrared module is triggered, the camera is started to shoot an image of the fallen pests and send the image to the edge calculation module for image recognition; the edge calculation module judges the types of insects through an image recognition algorithm, classifies and counts the insects, and forms historical insect trapping data. According to the pest prevention and control system based on the pheromone technology, in the working process, the pheromone storage bin is of an integrated structure, the equipment islanding effect is solved, the deployment cost is reduced, the whole process of trapping, recognizing, killing and cleaning is automatic, and manual maintenance is reduced.

Description

Technical Field

[0002] The present invention relates to the technical field of pest control, and in particular to a pest control system based on pheromone technology. Background Art

[0003] Pests and diseases seriously harm the growth of plants, and will directly attack the roots, stems, leaves, flowers, fruits and other parts of plants, inhibiting the growth and development of plants. At the same time, pests and diseases also have a negative impact on agricultural production and ecosystems, and thus pest and disease control is very necessary. At this time, a pest and disease control system is needed, such as the Chinese patent application with application number 201910723963.7 and application date 2019-08-07, an Internet of Things sex-induced detection and reporting system, which uploads the monitored pest data and surrounding environment data to the system background in real time when it is working. Customers can log in to the system to view the agricultural and forestry pest situation and other data, and can effectively and timely grasp the occurrence and outbreak of pests, making it more convenient and quick for people to carry out pest control, thereby ensuring the output of agricultural products; and through the Internet of Things detection and reporting The report can timely and effectively feedback and count the monitored data, which plays a vital role in predicting the dynamics of pest populations and guiding further prevention and control; there is also a Chinese patent application with application number 202310220676.0 and application date 2023-03-09, a remote real-time pest monitoring and reporting system based on the Internet of Things. When it is working, based on the traditional crop pest monitoring habits and experience, it uses Internet of Things image recognition, remote monitoring, transmission and control technology to feed back the survey data to the monitoring center for analysis, build a remote monitoring and reporting network for crop pests, and timely obtain the dynamic evolution process of pest population occurrence and development, and improve the accuracy and timeliness of prediction and forecasting. The patent in the above application relies on manual collection of monitoring and reporting data and then manual control of the disorienting equipment during use, with large operation response delay and low efficiency.

[0004] There is also a Chinese patent application with application number 201710853441.X and application date 2017-09-20, which is a pheromone release device system and a pest control method. When used, it has the advantages of being green, environmentally friendly, safe, and able to control pests over a large area for a long time. At the same time, it can be flexibly applied to various agricultural and forestry areas, reducing the cost of release and manual maintenance costs, and is suitable for large-scale industrial applications. However, during use, the monitoring and prevention links are disconnected, and it is impossible to make dynamic adjustments based on real-time pest data. Moreover, the pheromone spraying device lacks direct linkage logic with the monitoring data, which can easily lead to waste of resources or insufficient prevention and control.

[0005] Therefore, we propose a pest control system based on pheromone technology to solve the above problems. Summary of the invention

[0006] The purpose of the present invention is to provide a pest control system based on pheromone technology to solve the problems proposed in the above-mentioned background technology that during use, the system relies on manual collection of measurement data and then manually controls the disorienting equipment, resulting in large operational response delays and low efficiency; during use, the measurement and prevention links are disconnected and cannot be dynamically adjusted according to real-time pest data; and the pheromone spraying device lacks direct linkage logic with the measurement data, which easily leads to waste of resources or insufficient prevention and control.

[0007] To achieve the above object, the present invention provides the following technical solution: a pest control system based on pheromone technology, comprising the following steps:

[0008] S1: Fill the device housing with different pheromone liquids, adjust the direction of the nozzle according to the types of pests corresponding to different types of pheromones, and start the device in the field;

[0009] S2: The pheromone liquid releases pheromones through a slow-release device to attract the corresponding type of pests to approach;

[0010] S3: The pests are killed by the high-voltage power grid and fall down. After the infrared module is triggered, the camera is activated, and the image of the falling insects is taken and sent to the edge computing module for image recognition;

[0011] S4: The edge computing module uses an image recognition algorithm to determine the type of insects, classify and count them to form historical insect trapping data, and collects environmental temperature and humidity parameters to calculate the adaptive threshold for insect outbreaks and determine whether the insect trapping data within the past 24 hours has reached the threshold.

[0012] S5: As time goes by, S2 to S4 are executed in a loop. When the insect trapping data of a certain pest in the past 24 hours reaches the threshold, the current environmental data is obtained through the sensor, the spraying time is calculated, and the corresponding type of pheromone is sprayed;

[0013] S6: After 24 hours, determine whether secondary spraying is needed according to the dynamic threshold decision algorithm. If necessary, perform secondary spraying;

[0014] S7: S2-S6 are repeatedly executed as time passes until the edge computing module calculates that the remaining amount of pheromone liquid in a pheromone storage bin is lower than a certain range, and the cloud platform prompts that the corresponding pheromone needs to be added;

[0015] S8: As time goes by, the automatic cleaning module works regularly to clean the insects accumulated in the insect collection box.

[0016] Preferably, the device housing is composed of an upper shell and a lower shell, the upper shell is made of a waterproof material, a connecting pillar is fixedly connected between the upper shell and the lower shell, and an environment detection module is provided on the upper surface of the upper shell;

[0017] The upper surface of the upper housing is fixedly connected with a photovoltaic panel, and a pheromone spraying and slow-release module is arranged on the surface of the upper housing;

[0018] The bottom of the upper housing is fixedly connected with a high-voltage power grid, and an edge computing module is arranged inside the upper housing, and a power management module is arranged inside the upper housing;

[0019] An insect counting and recognition module is arranged inside the lower housing, a collecting box is arranged at the bottom of the lower housing, and an automatic cleaning module is arranged inside the lower housing.

[0020] Preferably, the environment detection module includes a temperature sensor, a humidity sensor and a wind speed and direction sensor, and the temperature sensor, the humidity sensor and the wind speed and direction sensor are all connected to the edge computing module through an RS485 bus.

[0021] Preferably, the edge computing module includes a pump fixedly connected inside the upper housing, and the edge computing module adopts a high-performance chip, built-in with a dynamic threshold decision algorithm, communicates with the cloud platform wirelessly, reports the current device status and whether pheromone liquid needs to be refilled, and the edge computing module calculates the remaining amount of pheromone liquid in the pheromone storage tank by controlling the working state of the pump and the capacity of the pheromone storage tank. The edge computing module is electrically connected to the environment detection module, the pump and the automatic cleaning module;

[0022] The dynamic threshold decision algorithm judges according to historical insect trapping data and a local threshold database, where the threshold is the number of insects within 24 hours, whether to spray the corresponding pheromone for confusion operation, and judges the spraying duration through sensor data. The adaptive threshold calculation formula is: Adaptive threshold = Basic threshold × [1 + α × (T - T0) + β × (H - H0)], T: Real-time temperature; H: Real-time humidity; α, β: Influence coefficients, related to the type of pest; T0, H0: Benchmark temperature and humidity values;

[0023] Spraying duration calculation formula: Adaptive spraying time = Basic spraying time × [1 + γ × (S - S0)], where S: Real-time wind speed; γ: Wind speed influence coefficient; S0: Benchmark wind speed;

[0024] Feedback mechanism: Continuously monitor the trapping amount after spraying. If the insect trapping data within 24 hours does not decrease by N% compared with the daily insect trapping data 24 hours ago, it means that the pheromone concentration is insufficient and secondary spraying is required. N is an experimental value. If the pheromone concentration in the field reaches the confusion standard, the number of insects trapped by a single lure core should be lower than N% of that without confusion spraying.

[0025] Preferably, the power management module includes a main board fixedly connected inside the upper housing, a high-voltage package fixedly connected inside the upper housing, an energy storage battery fixedly connected inside the upper housing, and an emergency power supply socket provided on the lower surface of the upper housing. A switch is provided on the lower surface of the upper housing, and the switch is controlled by the edge computing module.

[0026] Preferably, a charge and discharge control circuit is provided inside the upper housing, and the charge and discharge control circuit is electrically connected to both the photovoltaic panel and the energy storage battery. The energy storage battery is made of lithium iron phosphate. The high-voltage package is electrically connected to the energy storage battery and the edge computing module.

[0027] Preferably, a waterproof plug is provided on the outside of the high-voltage power grid, and the high-voltage power grid is electrically connected to the energy storage battery and the charge and discharge control circuit, and is used to connect an external charger to charge the battery in special cases, so as to prevent the device from not working after the battery runs out of power during continuous rainy days.

[0028] Preferably, the pheromone spraying and slow-release module includes a liquid filling port and a pump provided on the upper surface of the upper housing. A pheromone storage bin is provided inside the upper housing. A spray nozzle is provided on the surface of the upper housing. A lure core slow-release device is fixedly connected inside the upper housing. A lure rod is provided on the lower surface of the lure core slow-release device. The liquid filling port is connected to the pheromone storage bin through an infusion pipeline. The lure core slow-release device is arranged in the middle of the high-voltage power grid, and the lure core slow-release device is communicated with the pheromone storage bin.

[0029] Preferably, the insect counting and identification module includes an infrared module provided inside the lower housing and a camera provided on the inner wall of the lower housing. The infrared module is arranged at the entrance of the trapping channel. When an insect body falls and passes through the sensor, the camera is activated.

[0030] The camera is electrically connected to the infrared module, takes pictures of the insects entering the channel and transmits the pictures to the edge computing module.

[0031] Preferably, the automatic cleaning module includes a motor and a flipping structure. The motor is electrically connected to the edge computing module, and the motor is connected to the flipping structure.

[0032] Compared with the prior art, the beneficial effects of the present invention are as follows: adopting a new structural design, the specific content is as follows:

[0033] (1) In the working process of the pest control system based on pheromone technology, the pheromone storage bin is an integrated structure, which solves the island effect of the device, reduces the deployment cost, and realizes the full automation of trapping, identification, killing and cleaning, reducing manual maintenance.

[0034] (2) The pest control system based on pheromone technology is equipped with independent pheromone spraying mechanisms. Each pheromone spraying and slow-release module corresponds to a pump, a liquid filling port and a nozzle. The spraying parameters (such as nozzle angle and solvent type) are adjusted independently for different pests, solving the problem that a single dispenser device can only control one type of pest. In addition, pheromones can still be released through the nozzle on rainy days. At the same time, the capacity of different types of pheromones is calculated separately, and no liquid level meter is required, reducing equipment costs.

[0035] (3) The pest control system based on pheromone technology, the attractant core slow-release device, the insect attractant rod and pump, the liquid filling port and the nozzle share a pheromone storage tank, which reduces the cost and frequency of pheromone replacement. A single filling of pheromone liquid can meet the use of two modules, thereby improving the convenience of equipment use.

[0036] (4) This pest control system based on pheromone technology is equipped with edge-side image recognition and infrared-triggered camera monitoring methods. Image recognition solves the problem that traditional sex-lure monitoring equipment cannot monitor multiple pests at the same time. Infrared triggering minimizes the camera's working time and the number of images required for recognition, reducing the amount of calculation required for edge-side pest recognition. Edge-side pest recognition and control decision output realize localized deployment of the system, and the entire workflow can be completed without the involvement of the cloud, which is stable and reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a schematic diagram of the working process of the sensing unit of the present invention;

[0038] Figure 2 It is a schematic diagram of the overall structure of the housing of the device of the present invention;

[0039] Figure 3 It is a schematic diagram of the overall front cross-sectional structure of the device of the present invention;

[0040] Figure 4 This is a schematic diagram of the connection structure between the lower housing and the camera of the present invention;

[0041] Figure 5 For the present invention Figure 4 The schematic diagram of the cross-sectional view at A in the middle;

[0042] Figure 6 For the present invention Figure 4 The schematic diagram of the cross-sectional view at B in the middle;

[0043] Figure 7 For the present invention Figure 4 Schematic diagram of the cross-sectional view at point C in the middle.

[0044] In the figure: 101, upper housing; 102, lower housing; 1, environmental detection module; 2, photovoltaic panel; 3, main board; 4, high-voltage pack; 5, energy storage battery; 6, liquid filling port; 7, infusion pipeline; 8, pheromone storage bin; 9, pump; 10, emergency power supply socket; 11, nozzle; 12, switch; 13, lure core slow-release device; 14, connecting pillar; 15, insect lure rod; 16, high-voltage power grid; 17, equipment housing; 18, infrared module; 19, camera; 20, motor; 21, flipping structure. Detailed implementation mode

[0045] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0046] As Figures 1-7 shown, the present invention provides the following technical solution: a pest control system based on pheromone technology.

[0047] It includes the following steps:

[0048] S1: Different pheromone liquids are filled into the equipment housing 17, and the orientation of the nozzle 11 is adjusted according to the pest species corresponding to different types of pheromones, and the equipment is started in the field;

[0049] S2: The pheromone liquid emits pheromones through the slow-release device to attract the corresponding pests to approach;

[0050] S3: After the pests are killed by the high-voltage power grid 16 and fall, the infrared module 18 is triggered, and the camera 19 is started to take pictures of the fallen insects and send them to the edge computing module for image recognition;

[0051] S4: The edge computing module judges the type of the insects through the image recognition algorithm, classifies and counts them to form historical insect lure data, and collects the environmental temperature and humidity parameters to calculate the adaptive threshold for pest outbreak and judge whether the insect lure data in the past 24 hours reaches the threshold;

[0052] S5: As time goes by, S2 to S4 are executed in a loop. When the insect lure data of a certain pest in the past 24 hours reaches the threshold, the current environmental data is obtained through the sensor, the spraying time is calculated, and the corresponding type of pheromone is sprayed;

[0053] S6: After 24 hours, it is judged whether secondary spraying is needed according to the dynamic threshold decision algorithm. If so, secondary spraying is carried out;

[0054] S7: Repeat the execution of S2 - S6 over time until the remaining amount of the pheromone liquid in a certain pheromone storage bin calculated by the edge computing module is lower than a certain range, and prompt on the cloud platform that the corresponding pheromone needs to be refilled;

[0055] S8: Over time, the automatic cleaning module works regularly to clean the insects accumulated in the insect collection box.

[0056] Embodiment 1: Through the provided environmental detection module 1, the types and quantities of insects can be recorded. The device housing 17 is composed of an upper housing 101 and a lower housing 102. The material of the upper housing 101 is a waterproof material. A connecting pillar 14 is fixedly connected between the upper housing 101 and the lower housing 102, and the environmental detection module 1 is arranged on the upper surface of the upper housing 101; a photovoltaic panel 2 is fixedly connected to the upper surface of the upper housing 101, and a pheromone spraying and slow-release module is arranged on the surface of the upper housing 101; a high-voltage power grid 16 is fixedly connected to the bottom of the upper housing 101, and an edge computing module is arranged inside the upper housing 101, and a power management module is arranged inside the upper housing 101; an insect counting and identification module is arranged inside the lower housing 102, a collection box for insects is arranged at the bottom of the lower housing 102, and an automatic cleaning module is arranged inside the lower housing 102. The environmental detection module 1 includes a temperature sensor, a humidity sensor, and a wind speed and direction sensor, and the temperature sensor, the humidity sensor, and the wind speed and direction sensor are all connected to the edge computing module through the RS485 bus.

[0057] The edge computing module includes a pump 9 fixedly connected inside the upper housing 101. The edge computing module uses a high-performance chip and incorporates a dynamic threshold decision algorithm. It communicates with the cloud platform wirelessly to report the current device status and whether pheromone liquid needs to be refilled. The edge computing module calculates the remaining amount of pheromone liquid in the pheromone storage bin 8 by controlling the working state of the pump 9 and the capacity of the pheromone storage bin 8. The edge computing module is electrically connected to the environmental detection module 1, the pump 9, and the automatic cleaning module. The dynamic threshold decision algorithm determines whether to spray the corresponding pheromone for confusion operation based on historical insect-trapping data and the local threshold database, where the threshold is the number of insects within 24 hours, and judges the spraying duration through sensor data. The adaptive threshold calculation formula is: Adaptive threshold = Basic threshold × [1 + α × (T - T0) + β × (H - H0)], where T is the real-time temperature, H is the real-time humidity, α and β are influence coefficients related to the pest species, and T0 and H0 are the reference temperature and humidity values. The spraying duration calculation formula is: Adaptive spraying time = Basic spraying time × [1 + γ × (S - S0)], where S is the real-time wind speed, γ is the wind speed influence coefficient, and S0 is the reference wind speed. Feedback mechanism: Continuously monitor the trapping amount after spraying. If the insect-trapping data within 24 hours does not decrease by N% compared with the daily insect-trapping data 24 hours ago, it indicates that the pheromone concentration is insufficient and secondary spraying is required. N is an experimental value. If the pheromone concentration in the field reaches the confusion standard, the number of insects trapped by a single lure core should be lower than N% of that without confusion spraying.

[0058] Through the provided edge computing module, the pump 9 and the automatic cleaning module can be controlled. At the same time, the edge computing module has the ability of mobile communication and can communicate with the cloud platform wirelessly to report the current device status and whether pheromone liquid needs to be refilled. The edge computing module can calculate the remaining amount of pheromone liquid in the pheromone storage bin 8 by controlling the working state of the pump 9 and the capacity of the pheromone storage bin 8.

[0059] Embodiment 2: Different from Embodiment 1, through the provided power management module, the device can work under various weather conditions. The power management module includes a main board 3 fixedly connected inside the upper housing 101, a high-voltage package 4 fixedly connected inside the upper housing 101, an energy storage battery 5 fixedly connected inside the upper housing 101, an emergency power supply socket 10 provided on the lower surface of the upper housing 101, a switch 12 provided on the lower surface of the upper housing 101, and the switch 12 is controlled by the edge computing module.

[0060] Inside the upper housing 101, a charge and discharge control circuit is provided, and the charge and discharge control circuit is electrically connected to both the photovoltaic panel 2 and the energy storage battery 5. The energy storage battery 5 is made of lithium iron phosphate. The high-voltage package 4 is electrically connected to the energy storage battery 5 and the edge computing module. A waterproof plug is provided outside the high-voltage power grid 16, and the high-voltage power grid 16 is electrically connected to the energy storage battery 5 and the charge and discharge control circuit, which is used to connect an external charger to charge the battery in special cases, avoiding the equipment from not working after the power is exhausted during continuous rainy days. At the same time, the waterproof plug plays a role in protecting against rain.

[0061] Embodiment 3: Different from Embodiment 2, through the provided pheromone spraying and slow-release module and automatic cleaning module, the insect corpses can be quickly cleaned. The pheromone spraying and slow-release module includes a liquid filling port 6 opened on the upper surface of the upper housing 101 and a pump 9. An information pheromone storage bin 8 is opened inside the upper housing 101. A spray nozzle 11 is provided on the surface of the upper housing 101. An attractant core slow-release device 13 is fixedly connected inside the upper housing 101. An insect attracting rod 15 is provided on the lower surface of the attractant core slow-release device 13. The liquid filling port 6 is connected to the information pheromone storage bin 8 through an infusion pipeline 7. The attractant core slow-release device 13 is arranged in the middle of the high-voltage power grid 16, and the attractant core slow-release device 13 is communicated with the information pheromone storage bin 8.

[0062] The insect counting and recognition module includes an infrared module 18 arranged inside the lower housing 102 and a camera 19 arranged on the inner wall of the lower housing 102. The infrared module 18 is arranged at the entrance of the trapping channel. When an insect body falls and passes through the sensor, the camera 19 is activated. The camera 19 is electrically connected to the infrared module 18, takes pictures of the insects entering the channel and transmits the pictures to the edge computing module. The automatic cleaning module includes a motor 20 and a flipping structure 21. The motor 20 is electrically connected to the edge computing module, and the motor 20 is connected to the flipping structure 21.

[0063] The pheromone spraying and slow-release module includes sub-modules, which are composed of a liquid filling port 6, a pheromone storage bin 8, a pump 9, a spray nozzle 11, a lure core slow-release device 13, and a set of infusion pipelines 7 connecting the above components. The liquid filling port 6 is located at the top of the upper housing 101 and is connected to the pheromone storage bin 8 through a pipeline. At the same time, a cover plate is provided for filling the pheromone liquid. The output end of the pump 9 is the spray nozzle 11, and the input end is the pheromone storage bin 8. It is electrically connected to the edge computing module and can be controlled in its working state and powered by the edge computing module. The spray nozzle 11 is located on the side edge of the upper housing 101. When the pump 9 is started, the liquid in the pheromone storage bin 8 is pressurized and sprayed out in the form of extremely small droplets through the spray nozzle 11 and dispersed into the air. The angle of the spray nozzle 11 is adjusted manually to achieve horizontal or vertical adjustment of 0 to 180 degrees, facilitating matching the activity ranges of different types of pests. The lure core slow-release device 13 is connected to the pheromone storage bin 8 through a pipeline. It is a structure with a slow-release function and can be used to slowly release pheromones. It is located in the middle of the high-voltage power grid 16 and is used to attract pests. The automatic cleaning module is located at the bottom and is composed of a motor 20 and a flipping structure 21. The motor 20 is electrically connected to the edge computing module and can be controlled. The motor 20 is connected to the flipping structure 21. When the motor 20 is started, the flipping structure 21 rotates to automatically pour out the insects inside. After rotating 360 degrees, the process of pouring out the insects ends.

[0064] The above is the working process of the entire device, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0065] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A pest control system based on pheromone technology, characterized in that: It includes the following steps: S1: Different pheromone liquids are filled into the device housing (17), and the orientation of the nozzle (11) is adjusted according to the pest species corresponding to different types of pheromones, and the device is started in the field; S2: The pheromone liquid emits pheromones through the slow-release device to attract the corresponding pests to approach; S3: After the pests are killed by the high-voltage power grid (16) and fall, after triggering the infrared module (18), the camera (19) is started, the image of the fallen bugs is taken, and it is sent to the edge computing module for image recognition; S4: The edge computing module judges the species of the bugs through the image recognition algorithm, classifies and counts them to form historical pest-trapping data, and collects the environmental temperature and humidity parameters to calculate the adaptive threshold for pest outbreak, and judges whether the pest-trapping data in the past 24 hours reaches the threshold; S5: As time goes by, S2 to S4 are executed in a loop. When the pest-trapping data in the past 24 hours reaches the threshold, the current environmental data is obtained through the sensor, the spraying time is calculated, and the corresponding type of pheromone is sprayed; S6: After 24 hours, it is judged whether secondary spraying is needed according to the dynamic threshold decision algorithm. If so, secondary spraying is carried out; S7: S2-S6 are repeatedly executed as time goes by until the remaining amount of the pheromone liquid in the pheromone storage bin calculated by the edge computing module is lower than a certain range, and a prompt to fill the corresponding pheromone is given on the cloud platform; S8: The automatic cleaning module works regularly to clean the bugs accumulated in the insect collection box.

2. The pest control system based on pheromone technology according to claim 1, wherein: The device housing (17) is composed of an upper housing (101) and a lower housing (102). The material of the upper housing (101) is a waterproof material, and a connecting pillar (14) is fixedly connected between the upper housing (101) and the lower housing (102), and an environmental detection module (1) is arranged on the upper surface of the upper housing (101); A photovoltaic panel (2) is fixedly connected to the upper surface of the upper housing (101), and a pheromone spraying and slow-release module is arranged on the surface of the upper housing (101); The bottom of the upper housing (101) is fixedly connected with a high-voltage power grid (16), and an edge computing module is arranged inside the upper housing (101), and a power management module is arranged inside the upper housing (101); An insect counting and recognition module is arranged inside the lower housing (102), an insect collection box is arranged at the bottom of the lower housing (102), and an automatic cleaning module is arranged inside the lower housing (102).

3. The pest control system based on pheromone technology according to claim 2, wherein: The environmental detection module (1) includes a temperature sensor, a humidity sensor and a wind speed and direction sensor, and the temperature sensor, the humidity sensor and the wind speed and direction sensor are all connected to the edge computing module through the RS485 bus.

4. The pest control system based on pheromone technology according to claim 2, characterized in that: The edge computing module includes a pump (9) fixedly connected inside the upper housing (101). The edge computing module uses a high-performance chip, built-in dynamic threshold decision algorithm, communicates with the cloud platform wirelessly, reports the current device status and whether pheromone liquid needs to be refilled, and calculates the remaining amount of pheromone liquid in the pheromone storage bin (8) by controlling the working state of the pump (9) and the capacity of the pheromone storage bin (8). The edge computing module is electrically connected to the environment detection module (1), the pump (9), and the automatic cleaning module; The dynamic threshold decision algorithm judges according to historical insect trapping data and the local threshold database, where the threshold is the number of insects within 24 hours, whether to spray the corresponding pheromone for confusion operation, and judges the spraying duration through sensor data. The adaptive threshold calculation formula is: Adaptive threshold = Basic threshold × [1 + α × (T - T0) + β × (H - H0)], T: Real-time temperature; H: Real-time humidity; α, β: Influence coefficients, related to the types of pests; T0, H0: Reference temperature and humidity values; Spraying duration calculation formula: Adaptive spraying time = Basic spraying time × [1 + γ × (S - S0)], where S: Real-time wind speed; γ: Wind speed influence coefficient; S0: Reference wind speed; Feedback mechanism: Continuously monitor the trapping amount after spraying. If the insect trapping data within 24 hours does not decrease by N% compared with the daily insect trapping data 24 hours ago, it means that the pheromone concentration is insufficient and secondary spraying is required. N is an experimental value. If the pheromone concentration in the field reaches the confusion standard, the number of insects trapped by a single lure core should be lower than N% of that without confusion spraying.

5. The pest control system based on pheromone technology according to claim 4, wherein: The power management module includes a main board (3) fixedly connected inside the upper housing (101), a high-voltage package (4) fixedly connected inside the upper housing (101), a storage battery (5) fixedly connected inside the upper housing (101), and an emergency power supply socket (10) arranged on the lower surface of the upper housing (101). A switch (12) is arranged on the lower surface of the upper housing (101), and the switch (12) is controlled by the edge computing module.

6. The pest control system based on pheromone technology according to claim 5, characterized in that: An charge and discharge control circuit is arranged inside the upper housing (101), and the charge and discharge control circuit is electrically connected to both the photovoltaic panel (2) and the storage battery (5). The storage battery (5) is made of lithium iron phosphate. The high-voltage package (4) is electrically connected to the storage battery (5) and the edge computing module.

7. The pest control system based on pheromone technology according to claim 5, characterized in that: A waterproof plug is equipped outside the high-voltage power grid (16), and the high-voltage power grid (16) is electrically connected to the storage battery (5) and the charge and discharge control circuit, and is used to connect an external charger to charge the battery in special cases to prevent the device from not working after the battery runs out of power during continuous rainy days.

8. The pest control system based on pheromone technology according to claim 4, characterized in that: The pheromone spraying and slow-release module includes a liquid filling port (6) opened on the upper surface of the upper housing (101) and the pump (9). An information pheromone storage bin (8) is provided inside the upper housing (101). A spray nozzle (11) is provided on the surface of the upper housing (101). An attractant core slow-release device (13) is fixedly connected inside the upper housing (101). An insect attracting rod (15) is provided on the lower surface of the attractant core slow-release device (13). The liquid filling port (6) is connected to the information pheromone storage bin (8) through an infusion pipeline (7). The attractant core slow-release device (13) is arranged in the middle of the high-voltage power grid (16), and the attractant core slow-release device (13) is communicated with the information pheromone storage bin (8).

9. The pest control system based on pheromone technology according to claim 2, characterized in that: The insect counting and recognition module includes an infrared module (18) arranged inside the lower housing (102) and a camera (19) arranged on the inner wall of the lower housing (102). The infrared module (18) is arranged at the entrance of the trapping channel. When an insect body falls and passes through the sensor, the camera (19) is activated; The camera (19) is electrically connected to the infrared module (18), takes pictures of the insects entering the channel and transmits the pictures to the edge computing module.

10. A pest control system based on pheromone technology according to claim 1, characterized in that: The automatic cleaning module includes a motor (20) and a flipping structure (21). The motor (20) is electrically connected to the edge computing module, and the motor (20) is connected to the flipping structure (21).

Images