WE-GS-A33 Small Pest Monitoring and Early Warning System

I. Device Introduction

The WE-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 conditions and pest situations in real-time to designated network servers, facilitating backend identification and analysis of uploaded images. The system has made breakthroughs in key technologies such as live insect photography, 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 sources for insect attraction, with the main lamp using 7W 365nm+395nm wavelengths for more professional insect trapping (supports custom wavelength 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. Appearance structure: The overall structure uses stainless steel electrostatic powder coating process, making it sturdy, durable, and cost-effective.

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

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

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

9. Insect filtering device: A filter screen is installed around the trapping port to prevent non-target large insects from entering the machine and affecting automatic identification of small insects.

10. Intelligent identification and automatic counting: The small insect intelligent forecasting system uses AI to automatically identify micro-insects such as brown planthoppers, white-backed planthoppers, and leafhoppers, and performs automatic counting with an accuracy rate ≥95%.

11. Remote control and automatic photography: Supports viewing captured photos via web and mobile apps, and allows remote settings such as photography and work mode changes through the platform.

12. High completeness of insect photography: Equipped with a built-in 12MP high-definition industrial camera for insect photography, with insect completeness over 98%.

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

14. Built-in GPS positioning: Allows viewing of device site data on web maps.

15. Light control: Automatically turns on at night and off during the day (standby). During nighttime operation, it is not affected by sudden strong light changes.

16. Rainproof design: Can operate normally and trap insects even on rainy days.

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, etc., enabling monitoring of meteorological data in the surrounding environment and providing data support for analyzing the relationship between pest occurrence and weather conditions.

18. Remote updates: Android system apps can be remotely updated via the cloud platform to upgrade functions and provide users with a better experience.

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

20. Powerful data storage function: When network failure occurs, the local data caching mechanism is activated with a storage capacity of approximately 500,000 records. After network recovery, cached data is automatically uploaded to the server to ensure data security and no loss.

21. Software functions:

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

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

(3) Data query and export: Monitoring data can be screened by time period as needed, and viewed/exported in formats such as charts and Excel spreadsheets;

(4) Threshold setting: Pest thresholds can be set remotely, with automatic WeChat alerts when set values are reached;

(5) WeChat alerts: Device-related warning information can be pushed to users via WeChat official account, enabling timely response and serving preventive and warning purposes;