Intelligent Pest Monitoring Station IoT Pest Monitoring Light

I. Product Introduction

The ZD-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/T 24689.1-2009 standard and enables remote, precise capturing, uploading, 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 technologies such as 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 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, 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/T 24689.1-2009 for plant protection machinery—pest forecasting lamps;

2. Appearance structure: The overall structure uses stainless steel electrostatic powder coating technology, making it sturdy, durable, and highly 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 to attract pests, covering a wider and more comprehensive range of species;

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: ≤5 seconds;

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

9. Impact screen: Uses four high-precision industrial-grade glass panels arranged at 90-degree angles for 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 insect processing chamber temperature control: Reaches 85±5°C within 15 minutes of operation; heating coil 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 touchscreen, Android intelligent control system, and new gesture control for an intelligent human-machine interaction experience;

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

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

16. Photography device: Uses an industrial high-definition camera with ≥48 megapixels 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 species and quantities, displaying the results in graphical form for intuitive and clear visualization;

18. Automatic identification: The system features pest identification functionality, with an accuracy rate ≥95% for common agricultural and forestry pests. Identifiable 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. Scale function: The insect collection tray has reference scale lines, allowing accurate visual judgment of insect size for precise measurements;

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 phone, including but not limited to issuing commands for turning the insect-attracting lamp on/off, operating the upper and lower doors of the heating chamber, 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 temperature of the heating chamber, current light intensity, ambient temperature, rainfall status, and the operational status of various device components;

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

24. Powerful data storage: 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;

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

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

27. Insect collection tray: The collection plate area is 90,000 mm². A vibration device ensures even distribution of insects without stacking. After photography and identification, the 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, designed for easy pull-out and removal;

29. Remote reboot: Allows one-click remote reboot of the device via mobile App or Web;

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

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

32. Drainage system: A separate drainage structure automatically discharges rainwater, effectively separating rain and insects, ensuring no water accumulation in the chamber, and adapting to extreme weather conditions such as frequent rain in southern regions;

33. Time period control: Based on the life habits of target pests, work time 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: Allows screening of monitoring data by time period as needed. Data can be viewed and exported in forms such as graphs and Excel sheets;

(4) Threshold setting: Pest thresholds can be set remotely. 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 responses and serving a preventive and warning role;