I. Product Overview
The ZD-GS-A30 Insect Monitoring and Early Warning Analysis System is a new generation of insect forecasting light 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 an insect-attracting lamp, sensors, a data acquisition host, a far-infrared killing device, an insect collection unit, an intelligent industrial camera, a communication module, and supporting brackets. Utilizing modern optical, electronic, and numerical control technologies, it automatically performs tasks such as insect attraction, killing, dispersion, photography, identification, collection, and drainage without human supervision. Through wireless transmission and IoT technologies, pest data is uploaded in real-time to a smart IoT cloud platform for AI identification, enabling analysis and prediction of pest occurrence and development 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:
l Vegetable gardens: Spodoptera litura, Spodoptera exigua, Plutella xylostella, whiteflies, Pieris rapae, Delia floralis, cabbage worm, Eurydema dominulus, Athalia rosae, etc.;
l Tea plants: Empoasca onukii, Aleurocanthus spiniferus, Scirtothrips dorsalis, Ectropis obliqua, Lygus lucorum, Trichoplusia ni, 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, Lissorhoptrus oryzophilus, 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 lights;
2. Exterior structure: Made of stainless steel with electrostatic powder coating, durable and cost-effective;
3. Utilizes optical, electronic, 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-attracting light source: Uses multi-band T8 365~395nm, 20W LED tubes for broader and more comprehensive insect attraction;
6. Louvers around the lamp effectively prevent non-target pests, leaves, and branches from entering the device;
7. Lamp startup time: ≤5s;
8. Power consumption: Operating power ≤105W, standby power ≤10W;
9. Impact screen: Four high-precision industrial-grade glass panels set at 90-degree angles to prevent escape, single panel size: 640±2mm long, 280±2mm wide, 5mm thick;
10. Device dimensions: 620*600*2114mm (±2mm);
11. Far-infrared insect processing chamber temperature control: Reaches 85±5℃ within 15 minutes of operation; heating coil operation time and temperature are adjustable;
12. Far-infrared insect processing mortality rate ≥98%, insect integrity rate ≥95%;
13. Display: Equipped with a 10.1-inch Android industrial smart touchscreen, Android intelligent control system, and gesture control for an intuitive human-machine interaction experience;
14. Communication: Supports WIFI/4G/Ethernet and other networking methods;
15. Sensor configuration: Supports Modbus 485 sensor expansion (optional);
16. Camera: Uses a ≥20MP industrial high-definition camera (optional 48MP), automatically captures pest images and uploads them to the smart agriculture IoT cloud platform;
17. Data processing: The system builds a pest database, uses AI identification to classify and count pest types and quantities, and displays results via graphs for clarity;
18. Automatic identification: Identifies common agricultural and forestry pests with ≥97% accuracy, including but 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 others;
19. Scale function: The insect collection tray has reference lines for accurate visual size estimation;
20. Voice broadcast: Real-time updates on device status and photography progress;
21. Remote control: Enables real-time monitoring via computer or mobile phone, including commands for lamp switching, heating chamber doors, cleaning, shaking, remote photography, system parameter settings, and data query and analysis;
22. Remote viewing: Supports mobile App and Web access to device information such as communication status, heating chamber temperature, light intensity, ambient temperature, rainfall status, and component operation status;
23. GPS positioning: Built-in GPS for viewing device locations on GIS maps;
24. Data storage: Local caching of up to 500,000 records during network failure, with automatic upload upon recovery to ensure data security;
25. Remote maintenance: System updates and upgrades via cloud platform without on-site intervention;
26. Remote diagnostics: Troubleshooting via logs when device malfunctions occur;
27. Insect collection tray: 90,000mm2 area with vibration for even distribution, automatic cleaning after identification for residue-free operation;
28. Insect collection box: Stainless steel with spray coating, dimensions 540mm*470mm*150mm, removable for easy access;
29. Remote reboot: One-click device restart via mobile App or Web;
30. Light control: Automatically turns on at night and off during the day, unaffected by sudden bright light;
31. Rain control: Adjusts operation based on rainfall;
32. Drainage system: Separate structure to automatically drain rainwater, separate rain from insects, and prevent water accumulation, suitable for rainy climates;
33. Time control: Remote setting of operation periods and parameters based on target pest habits;
34. Software features:
(1) Fault alarm: Includes device displacement alert;
(2) Real-time upload: Monitoring data is backed up on the cloud platform to prevent loss;
(3) Data query and export: Filter data by time period, view and export via graphs or Excel;
(4) Threshold setting: Remote pest threshold configuration with automatic WeChat alerts when reached;
(5) WeChat alerts: Warning messages pushed via official account for timely user response and prevention;