Insect Pest Monitoring, Early Warning, and Control System

I. Product Introduction

The WE-GS-A28 Insect Monitoring, Early Warning, and Control System is a new generation of insect forecasting lamp independently developed and produced by our company. It complies with the GB-T24689.1-2009 standard and can remotely, accurately capture, upload, and analyze pests. The device consists of components such as an insect-attracting lamp tube, sensors, data acquisition host, far-infrared killing device, insect collection device, intelligent industrial camera, communication module, and supporting bracket. Utilizing modern technologies in optics, electronics, and numerical control, it automatically performs systematic operations including insect attraction, killing, insect dispersion, photography, identification, collection, and drainage without human supervision. It then uses wireless transmission technology and IoT technology to upload pest conditions in real-time to the smart agricultural IoT system for AI identification, analyzing and predicting the occurrence and development of pests to serve modern agriculture and meet the needs of pest forecasting and specimen collection.

Widely used in agriculture, forestry, animal husbandry, vegetables, tobacco, tea, medicinal herbs, gardens, orchards, urban greening, quarantine, and other fields.

Common pest monitoring applications:

Vegetable gardens: Spodoptera litura, Spodoptera exigua, Plutella xylostella, whiteflies, Pieris rapae, Delia floralis, Pieris rapae larvae, Eurydema dominulus, Athalia rosae, etc.;

Tea plants: Empoasca onukii, Aleurocanthus spiniferus, Scirtothrips dorsalis, Ectropis obliqua, Lygus lucorum, Ectropis grisescens, Euproctis pseudoconspersa, etc.;

Orchards: Leafhoppers, Grapholita molesta, longhorn beetles, scarab beetles, Grapholita molesta, Lasiocampidae, etc.;

Rice fields: Chilo suppressalis, Scirpophaga incertulas, Nilaparvata lugens, Cnaphalocrocis medinalis, Lissorhoptrus oryzophilus, Oxya chinensis, etc.;

Forestry: Lymantriidae, Geometridae, etc.;

Wheat fields: Nilaparvata lugens, aphids, wheat thrips, locusts, Meromyza saltatrix, Sitodiplosis mosellana, Athalia rosae, etc.;

Corn: Ostrinia furnacalis, Mythimna separata, Helicoverpa armigera, Tetranychus urticae;

II. Technical Parameters

1. Complies with the national standard GB/T24689.1-2009 for plant protection machinery insect forecasting lamps;

2. Appearance structure: The overall structure uses stainless steel electrostatic powder coating process, sturdy and durable, with ultra-high cost-effectiveness;

3. Utilizes optical, electronic, and numerical control technologies for automatic control;

4. Power supply method: Supports AC 220V or solar power supply DC12V (160W, 100AH solar power supply system);

5. Multi-band insect attraction light source: Uses multi-band T8 365~395nm, 20W LED lamp tubes for insect attraction, attracting more and a wider variety of pests;

6. Louvers are installed around the insect-attracting lamp to effectively prevent non-target pests, leaves, branches, and other debris from entering the device;

7. Lamp startup time: ≤5s;

8. Power: Operating power ≤105W, standby power ≤10W;

9. Impact screen: Uses 4 high-precision industrial-grade glass panels, arranged at 90-degree angles to each other, with stronger anti-escape function; single screen size: length 640±2mm, width 280±2mm, thickness 5mm;

10. Device dimensions: 620*600*2114mm (±2mm);

11. Far-infrared insect processing chamber temperature control: Reaches 85±5℃ after 15 minutes of operation; heating ring operating time and temperature are adjustable;

12. Far-infrared insect processing mortality rate ≥98%, insect body integrity rate ≥95%;

13. Display screen: Equipped with a 10.1-inch Android industrial smart touch screen, Android intelligent control system, new gesture control, providing an intelligent human-machine interaction experience;

14. Communication methods: Supports various networking methods including WIFI/4G/Ethernet;

15. Sensor configuration: Supports modbus485 sensor expansion (optional);

16. Photography device: Uses an industrial high-definition camera with ≥48 million pixels, automatically captures pest images, and uploads them to the smart agricultural IoT cloud platform;

17. Data processing: The system builds a pest database, uses AI intelligent recognition technology to classify and count pest types and quantities, and displays them in the form of graphs for more intuitive and clear visualization;

18. Automatic identification: The system has pest identification functionality, with an accuracy rate of ≥90% for common agricultural and forestry pests; identified pests include but are not limited to: Spodoptera litura, Spodoptera exigua, leafhoppers, longhorn beetles, scarab beetles, rice stem borers, Nilaparvata lugens, Cnaphalocrocis medinalis, Plutella xylostella, Ectropis obliqua, Helicoverpa armigera, and hundreds of other pests;

19. Voice broadcast: Real-time broadcast of device working status and photography process;

20. Remote control: Enables real-time remote monitoring on computers and mobile devices, including but not limited to issuing commands for insect-attracting lamp on/off, heating chamber upper and lower doors, cleaning, shaking, remote photography, system parameter settings, and querying and analyzing collected information;

21. Remote viewing: Supports remote viewing of device information via mobile App and Web端, such as current communication status, real-time temperature of the heating chamber, current light intensity, ambient temperature, rainfall status, and the current operating status of various device components;

22. GPS positioning: Built-in GPS positioning function, allowing viewing of device站点 and other data on GIS maps;

23. Powerful data storage function: When network failure occurs, the local data caching mechanism is activated, with a storage capacity of approximately 500,000 records; cached data is automatically uploaded to the server once the network is restored, ensuring data security and no loss;

24. Remote maintenance: Remote updates via the cloud platform, enabling remote system maintenance and upgrades without leaving home;

25. Remote fault diagnosis: When the device malfunctions, fault排查 can be performed remotely via logs;

26. Insect collection tray: Insect collection plate area 90,000 mm², uses a vibration device to evenly distribute insect bodies without stacking; after photography and identification, the cleaning device is activated for 360° thorough cleaning without residue;

27. Insect collection box: Made of stainless steel with spray coating, dimensions: 540mm*470mm*150mm, pull-out design for easy removal;

28. Remote restart: Allows one-click remote restart of the device via mobile APP or WEB端;

29. Light control device: Automatically turns on at night and off during the day; during nighttime operation, it is not affected by sudden strong light changes;

30. Rain control device: Automatically controls the forecasting lamp based on external rainfall changes;

31. Drainage device: Separate drainage system structure automatically drains rainwater, effectively separating rain and insects, ensuring no积水 in the box, suitable for extreme weather such as frequent rain in southern regions;

32. Time period control: Based on the life habits of target pests, work time periods and parameters can be set remotely;

33. Software functions:

(1) Fault alarm: Includes device displacement alarm function;

(2) Real-time upload: Monitoring data is uploaded to the cloud platform in real-time for backup, ensuring no data loss;

(3) Data query and export: Monitoring data can be screened by time period as needed, and viewed and exported in forms such as graphs and EXCEL tables;

(4) Threshold setting: Pest thresholds can be set remotely; when the set value is reached, the system automatically sends WeChat alerts;

(5) WeChat alerts: Relevant device alert information can be pushed to users via WeChat public account, enabling timely response and serving a preventive and warning role;