Rice planthopper pest monitoring system with small insect body intelligent pest monitoring lamp

I. Product Overview

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 digital control technologies to automate processes including insect trapping, killing, photographing, cleaning, collection, and drainage. It can upload environmental conditions and pest status 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 imaging, specific insect-attracting spectra, and deep learning algorithm recognition, filling the current gap in millimeter-level insect forecasting. Widely used in agriculture, forestry, and other fields, it provides 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. Hardware Parameters:

1. Device Structure: The entire device is constructed with stainless steel using an electrostatic powder coating process. The trapping port is surrounded by a filter screen to prevent non-target larger insects from entering the machine and affecting the automatic identification of small insects. Internally, it features a double-layer flipping plate design to prevent pest escape while ensuring effective pest crushing.

2. Power Supply: Supports AC 220V or solar power DC12V (equipped with a 120W 80Ah solar power system).

3. Device Power Consumption: Standby power ≤10W, operating power ≤20W.

4. Dual Insect-Attracting Lights: Lamp tube: 4W power, 130mm length, using dual-band ultraviolet light wavelengths of 365+395nm for insect attraction, startup time ≤5 seconds. Light strip: Single-band 395nm.

5. Insect Entry Design: Customized grid entry design effectively filters out larger insects while ensuring smooth entry of small insects, guaranteeing the integrity of the monitoring and identification process.

6. Display Screen: Equipped with a 7-inch Android industrial smart touchscreen, running on an Android intelligent control system, supporting full gesture control for an intelligent human-machine interaction experience.

7. Main Control Unit: Uses a 4-core processor with Android V10.0 operating system; 2GB RAM; supports SD 3.0, expandable up to 1TB (optional); supports Modbus 485 sensor expansion; features real-time clock and time calibration; supports 2x485, 1xTTL serial port, 1xUSB, 1xUSB/OTG (switchable).

8. Remote Control: Real-time preview of the host operation page and status; supports remote reboot and application installation/uninstallation.

9. Light Trapping: Uses specific wavelength light to attract a wide range of phototactic pests for trapping. After a set time, the lamp tube turns off, and the light strip inside the entry port attracts small insects to enter; specialized for trapping and monitoring micro-insects like rice planthoppers and leafhoppers.

10. Imaging Device: Uses a ≥12MP industrial high-definition camera with live imaging technology to observe pest characteristics and status from multiple dimensions.

11. Wind Suction Killing: A high-speed internal fan creates negative air pressure to suction small insects into the flipping plate, using wind suction and negative pressure for desiccation-based killing, ensuring an eco-friendly and safe process.

12. Insect Storage: Features a sealed insect collection box to prevent loss and facilitate easy removal of insects.

13. Operating Environment: Functions normally in harsh conditions, with an operating temperature range of -20°C to 70°C and humidity range of 0% to 95%.

14. Data Collection and Storage: Collects real-time data, insect images, and meteorological data such as temperature and humidity (standard), wind speed, soil temperature and humidity, light intensity, and rainfall, automatically uploading to the smart agriculture IoT platform; supports local storage ≥3 months and cloud storage ≥12 months.

15. Communication: Uses TCP (MQTT) and HTTP protocols for data upload. Supports multiple connectivity options including Wi-Fi, 4G, and Ethernet.

16. GPS Positioning: Integrated GPS module supporting GPS, BDS, and GLONASS positioning; allows remote switching between multiple combined positioning methods; automatically collects 3D coordinates (longitude, latitude, altitude); enables viewing of device station data on GIS maps.

17. Threshold Settings: Configurable sensor thresholds for real-time monitoring and alerts. Supports custom threshold settings, triggering WeChat alerts for precise warning delivery to users.

18. Offline Cache: Activates local data caching when network fails, with a storage capacity of approximately 500,000 records; cached data automatically uploads to the server once the network is restored, ensuring data security.

19. Time Control: Allows remote scheduling of grid operation periods based on pest behavior patterns; supports multi-interval timed reboots to ensure system stability.

20. High/Low Temperature Protection: Users can set protection temperatures; during winter dormancy, the device automatically enters sleep mode to extend lifespan.

21. Remote Viewing: Supports remote access via App, mini-program, and web端 to view device information such as online status, signal strength, voltage, historical data queries, and remaining data usage.

22. Remote Intelligent Maintenance: Diagnoses faults through log analysis when abnormalities occur; supports one-click remote reboot and preset timed reboots for unattended health management and system stability.

23. Remote OTA Updates: Utilizes cloud technology for automatic firmware/system updates, security patches, and feature iterations without on-site operation, ensuring device stability and security.

III. Platform Features

1. Fault Alerts: Includes device displacement alerts and threshold alerts.

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; data can be viewed and exported via graphs or Excel spreadsheets.

4. Threshold Settings: Remote configuration of pest thresholds; system automatically triggers WeChat alerts when thresholds are met.

5. WeChat Alerts: When alerts are triggered, relevant information is pushed to users via WeChat official account for quick response and timely action, enhancing prevention and warning effectiveness.

6. AI Smart Q&A: Deeply integrated with DeepSeek large language model technology, supports multi-turn natural language interaction, featuring "Xiaodi AI"—a 24/7 online intelligent agricultural expert for field problem-solving.

7. AI Smart Analysis: Analyzes historical pest patterns, generates comprehensive control prescriptions and预警 suggestions, and outputs structured PDF reports for full-chain pest management decision support.

8. Smart Solutions: Based on vast agricultural knowledge graphs and real-time environmental/pest databases, supports one-click AI generation of standardized planting, disease control, and pest control plans.

9. Data Analysis: Enables remote access to historical pest data trends to predict pest occurrence; allows precise retrieval of pest images during outbreak periods for visual tracing; supports export of pest reports (daily/weekly/monthly/annual) and graphs for statistics and visualization; supports year-over-year analysis of specified pest types by day/month for the same device to show temporal trends; supports comparison of pest occurrence across different regions (devices) during the same period to aid regional control decisions.

10. Zero-Installation Use: Enables real-time viewing, remote control, and full-process management via WeChat mini-program without installation, offering a "open-and-use" convenience.

11. Expandable Data Integration: Provides standardized protocol interfaces for seamless integration with user platforms, enabling secondary development and deep application of data.

12. Pest Database: Comprehensively includes over 730 common pests with detailed information on habits, occurrence range, damage characteristics, and control measures.

13. Full-Cycle Dynamic Monitoring Atlas: Offers dynamic pest monitoring atlases, recording time nodes and population numbers for initial sighting, peak, and final sighting of target pests, with visual curves showing population trends.