I. Device Introduction

The ZD-GS-A33 Small Insect Monitoring and Early Warning System is a pest forecasting lamp specifically designed for trapping and monitoring micro-insects such as rice planthoppers and leafhoppers. This device utilizes modern optical, electronic, and numerical control technologies to achieve automated operations including insect trapping, killing, photographing, cleaning, collection, and drainage. It can upload environmental status and pest conditions to a designated network server in real-time, facilitating backend identification and analysis of uploaded images. The system overcomes key technical challenges such as live insect imaging, specialized insect-attracting spectra, and deep learning algorithm recognition, filling the current gap in millimeter-level insect forecasting. The device is widely used in agriculture, forestry, and other fields, providing effective technical support for pest control.

Common Pest Monitoring Applications:

* Wheat fields: aphids, wheat thrips, etc.;

* Vegetable gardens: whiteflies, vegetable thrips, etc.;

* Rice fields: whiteflies, rice planthoppers, rice leafhoppers, etc.

II. Technical Parameters:

1. Insect-attracting light source: Dual-light source trapping system, with the main lamp using 7W 365nm+395nm wavelength for more specialized insect attraction (supports custom wavelength for insect-attracting tubes).

2. Display screen: Equipped with a 7-inch Android industrial smart touchscreen, Android intelligent control system, and new gesture control for an intelligent human-machine interaction experience.

3. Communication methods: Supports multiple networking options including WIFI/4G/Ethernet.

4. Power supply: Supports AC 220V or solar power DC12V (120W, 80AH solar power system).

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

6. Insect-killing method: Utilizes multi-spectral insect-attracting light to lure insects, with high-speed fan generating negative air pressure to suck insects into the collection box for air-drying and killing. More environmentally friendly and safe.

7. Insect entry port: Customized entry port significantly increases pest entry probability.

8. Millimeter-level micro-insect identification: Specialized in trapping and monitoring micro-insects such as rice planthoppers and leafhoppers.

9. Insect filtering device: Mesh filter around the capture port prevents non-target larger insects from entering the machine, avoiding interference with small insect automatic identification.

10. Intelligent identification and automatic counting: The small insect intelligent forecasting system uses AI to automatically identify and count micro-insects such as brown planthoppers, white-backed planthoppers, and leafhoppers, with identification accuracy ≥90%.

11. Remote control and automatic photography: Supports viewing captured images via web and mobile apps, and allows remote configuration of photography and work modes through the platform.

12. High completeness of insect imaging: Built-in 12MP high-definition industrial camera for insect photography, with insect completeness rate over 98%.

13. Automatic cleaning: The system automatically cleans target insects after photography to avoid affecting subsequent imaging.

14. Built-in GPS positioning: Enables viewing of device station data on web maps.

15. Light control: Automatically turns on at night and off during the day (standby mode). During nighttime operation, it remains unaffected by sudden strong light exposure.

16. Rainproof design: Can operate normally and trap insects during rainy conditions.

17. Supports meteorological configuration: Optional configuration of sensors for wind speed, wind direction, air temperature and humidity, atmospheric pressure, light intensity, soil temperature and humidity, enabling monitoring of environmental meteorological data to support analysis of relationships between pest occurrence and weather conditions.

18. Remote updates: Android system APP can be remotely updated via cloud platform to upgrade functions and provide better user experience.

19. Time period control: Allows remote setting of time and parameters to define work periods based on target pest life habits.

20. Powerful data storage function: When network fails, activates local data caching mechanism with storage capacity of approximately 500,000 records. Cached data automatically uploads to server once network is restored, ensuring data security without loss.

21. Software functions:

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

(2) Real-time upload: Monitoring data is uploaded to cloud platform in real-time 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 via charts, Excel spreadsheets, etc.;

(4) Threshold setting: Remote setting of pest thresholds. When preset values are reached, 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 serving preventive warning purposes;