WE-GS-A30 Pest Monitoring, Early Warning, and Control System

I. Product Introduction

The WE-GS-A30 Pest Monitoring, Early Warning, and Control System is a new generation of pest forecasting lamp independently developed and produced by our company. It complies with the GB-T24689.1-2009 standard and enables remote, precise capture, upload, and analysis of pests. The device consists of components such as an insect-attracting lamp tube, sensors, data acquisition host, far-infrared drying and killing device, insect collection device, intelligent industrial camera, communication module, and supporting brackets. Utilizing modern optical, electrical, and numerical control technologies, it automatically performs systematic operations including insect attraction, killing, dispersion, photography, identification, collection, and drainage without human supervision. It then uses wireless transmission and IoT technologies to upload pest data in real-time to a smart IoT cloud platform 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, Scopula subpunctaria, Euproctis pseudoconspersa, etc.;

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

Rice fields: Chilo suppressalis, Tryporyza incertulas, Nilaparvata lugens, Cnaphalocrocis medinalis, Echinocnemus squameus, Oxya chinensis, etc.;

Forestry: Lymantria dispar, geometrid moths, 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 pest forecasting lamps;

2. Appearance structure: The overall structure uses stainless steel electrostatic powder coating, making it sturdy, durable, and highly cost-effective;

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

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

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

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

7. Lamp startup time: ≤5s;

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

9. Impact screen: Uses four high-precision industrial-grade glass panels at 90-degree angles to each other, providing stronger anti-escape functionality. Single panel dimensions: length 640±2mm, width 280±2mm, thickness 5mm;

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

11. Far-infrared pest treatment chamber temperature control: Reaches 85±5℃ within 15 minutes of operation; heating coil operating time and temperature are adjustable;

12. Far-infrared pest treatment mortality rate ≥98%, pest integrity rate ≥95%;

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

14. Communication methods: Supports various networking options including Wi-Fi, 4G, and Ethernet;

15. Sensor configuration: Supports Modbus 485 sensor expansion (optional);

16. Photography device: Uses a ≥48MP industrial high-definition camera to automatically capture pest images and upload them to the smart agricultural IoT cloud platform;

17. Data processing: The system builds a pest database and uses AI intelligent recognition technology to classify and count pest types and quantities, displaying results in graphical form for intuitive and clear visualization;

18. Automatic identification: The system includes pest identification functionality, with an accuracy rate ≥97% for common agricultural and forestry pests. Identified pests include but are not limited to: Spodoptera litura, Spodoptera exigua, leafhoppers, longhorn beetles, scarab beetles, Chilo suppressalis, Nilaparvata lugens, Cnaphalocrocis medinalis, Plutella xylostella, Ectropis obliqua, Helicoverpa armigera, and hundreds of other pests;

19. Scale function: The insect collection tray has reference markings to visually determine pest size accurately and obtain precise dimensions;

20. Voice broadcast: Real-time announcement of device operational status and photography progress;

21. Remote control: Enables real-time remote monitoring via computer or mobile device, including but not limited to issuing commands for lamp switching, heating chamber door operation, cleaning, shaking, remote photography, system parameter settings, and querying and analyzing collected information;

22. Remote viewing: Supports remote viewing of device information via mobile app and web, such as current communication status, real-time heating chamber temperature, current light intensity, ambient temperature, rainfall status, and operational status of various components;

23. GPS positioning: Built-in GPS functionality allows viewing device station data on GIS maps;

24. Powerful data storage: In case of network failure, local data caching 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;

25. Remote maintenance: System updates via the cloud platform enable remote maintenance and upgrades without leaving the office;

26. Remote fault diagnosis: When a device malfunctions, troubleshooting can be performed remotely via logs;

27. Insect collection tray: The tray area is 90,000 mm², using a vibration device to evenly distribute pests without stacking. After photography and identification, a cleaning device is activated for 360° thorough cleaning with no residue;

28. Insect collection box: Made of stainless steel with spray coating, dimensions: 540mm*470mm*150mm, easily removable for access;

29. Remote reboot: One-click device reboot via mobile app or web interface;

30. Light control: Automatically turns on at night and off during the day. During nighttime operation, it is unaffected by sudden strong light changes;

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

32. Drainage system: Separate drainage structure automatically discharges rainwater, effectively separating rain and insects, ensuring no water accumulation inside the box, suitable for extreme weather conditions like frequent rain in southern regions;

33. Time period control: Based on target pest behavior patterns, work periods and parameters can be set remotely;

34. Software features:

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

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

(3) Data query and export: Monitoring data can be screened by time period as needed and viewed or exported via graphs, Excel spreadsheets, etc.;

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

(5) WeChat alerts: Device-related warning information can be pushed to users via WeChat official account, enabling timely responses for prevention and early warning;