WE-GS-A26 Pest Monitoring and Early Warning System

I. Product Overview

The WE-GS-A26 Insect Monitoring and Early Warning System is a new generation insect forecasting lamp independently developed and produced by our company, compliant with the GB-T24689.1-2009 standard. It enables remote, precise capture, upload, and analysis of pests. The device consists of an insect-attracting lamp tube, sensors, data acquisition host, far-infrared killing device, insect collection unit, intelligent industrial camera, communication module, and supporting brackets. Utilizing modern optical, electrical, and numerical control technologies, it automatically performs a series of operations—including insect attraction, extermination, insect dispersion, photography, collection, and drainage—without human supervision. Through wireless transmission and IoT technology, pest data is uploaded in real-time to the smart IoT cloud platform, enabling the prediction of pest occurrence and development, thereby serving modern agriculture and meeting 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:

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

l Tea Plants: Empoasca onukii, Aleurocanthus spiniferus, Scirtothrips dorsalis, Ectropis obliqua, Lygus lucorum, Heterolocha jinyinhuaphaga, Euproctis pseudoconspersa, etc.;

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

l Rice Fields: Chilo suppressalis, Scirpophaga incertulas, Nilaparvata lugens, Cnaphalocrocis medinalis, Echinocnemus squameus, Oxya chinensis, etc.;

l Forestry: Lymantriidae, Geometridae, etc.;

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

l 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. Exterior Structure: Entire structure uses stainless steel electrostatic powder coating process, robust and durable, with ultra-high cost-effectiveness;

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 Attraction Light Source: Uses multi-band T8 365~395nm, 20W LED tubes for pest attraction, attracting a wider and more comprehensive range of species;

6. Lamp Start-up Time: ≤5s;

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

8. Impact Screen: Uses 4 high-precision industrial-grade glass panels at 90-degree angles for enhanced anti-escape function; single panel dimensions: length 640±2mm, width 280±2mm, thickness 5mm;

9. Device Dimensions: 620*600*2114mm (±2mm);

10. Far-Infrared Insect Processing Chamber Temperature Control: Reaches 85±5°C after 15 minutes of operation; heating coil operation time and temperature are adjustable;

11. Far-Infrared Insect Processing Lethality Rate: ≥98%, insect integrity rate ≥95%;

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

13. Communication Methods: Supports WIFI/4G/Ethernet and other networking methods;

14. Photography Unit: Uses an ≥8MP industrial high-definition camera to automatically capture pest images and upload them to the smart agriculture IoT cloud platform;

15. Voice Broadcast: Real-time announcement of device operation status and photography progress;

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

17. Remote Viewing: Supports mobile App and Web-based remote viewing of device information such as current communication status, real-time heating chamber temperature, current light intensity, ambient temperature, rainfall status, and operational status of various components;

18. GPS Positioning: Built-in GPS positioning function, allowing device station data to be viewed on GIS maps;

19. Robust Data Storage: In case of network failure, activates local data caching mechanism with a storage capacity of approximately 500,000 entries; cached data is automatically uploaded to the server once the network is restored, ensuring data security and no loss;

20. Remote Maintenance: Remote updates via the cloud platform enable system maintenance and upgrades without leaving the office;

21. Remote Fault Diagnosis: When a device malfunctions, troubleshooting can be performed remotely via logs;

22. Insect Collection Tray Area: 90,000 mm², uses a vibration device to evenly distribute insects without stacking; after photo identification, the cleaning mechanism activates for 360° residue-free cleaning;

23. Remote Reboot: Supports one-click device reboot via mobile App or Web interface;

24. Light Control: Automatically turns on at night and off during the day; remains unaffected by sudden strong light during nighttime operation;

25. Rain Control: Automatically adjusts lamp operation based on external rainfall;

26. Drainage System: Separate drainage structure automatically discharges rainwater, effectively separating rain and insects, preventing water accumulation inside the unit, suitable for extreme weather such as frequent rain in southern regions;

27. Time Period Control: Allows remote setting of operation time periods and parameters based on target pest behavior patterns;

28. Software Features:

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

(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: Enables time-based screening of monitoring data; data can be viewed and exported via graphs, Excel sheets, etc.;

(4) Threshold Setting: Remote configuration of pest thresholds; when the set value 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 response and preventive measures;