Systematic Induced Targeted Monitoring for Monitoring, Early Warning, and Control of White Moth in the United States

1Systematic Induced Targeted Monitoring for Monitoring, Early Warning, and Control of White Moth in the United StatesProduct Overview

The American White Moth Monitoring, Early Warning, and Control System integrates multiple core technologies such as wireless transmission, the Internet of Things, and bioinformatics to create an integrated pest monitoring and early warning solution. The system integrates four core functions: pest trapping, data statistics, wireless transmission, and AI intelligent recognition. It can achieve full process automation and intelligent control of targeted pest trapping, precise differentiation of species, real-time data reporting, remote dynamic monitoring, and pest level warning. The system has the advantages of stable operation, convenient operation, and flexible parameter configuration, and is suitable for various pest monitoring scenarios such as forestry, agriculture, and landscaping, with wide practicality.

IISystematic Induced Targeted Monitoring for Monitoring, Early Warning, and Control of White Moth in the United StatesHardware specifications

1. Appearance structure: The whole machine is made of stainless steel material and treated with electrostatic powder coating. The structure is sturdy and durable, with an overall height of 2450mm (± 5mm).

2. Power supply mode: Supports AC 220V or solar power supply DC12V (equipped with a 40W 20AH solar power supply system).

3. Equipment power: The operating power of the whole machine is ≤ 5W.

4. Insect mouth design: Adopting a double-layer funnel insect guide design, it accurately guides target adult insects into the trapping chamber, effectively preventing escape, and can automatically filter and eliminate non target insects.

5. Collection host: using 4H processor and Android V11.0 operating system; Running memory 2G; supports sd3.0, up to 1TB; supports modbus485 sensor expansion; Support real-time clock and time calibration function; Supports 2-channel 485, 1-channel TTL serial port, 1-channel USB, and 1-channel USB/OTG (switchable).

6. Remote control: supports real-time preview of device operation interface and working status, and can remotely perform operations such as restart, application installation and uninstallation.

7. Communication method: using TCP (MQTT) and HTTP standard protocols to upload data; Supports multiple networking methods such as WIFI, 4G, and Ethernet, adapting to different network conditions in various scenarios.

8. GPS positioning: Equipped with a built-in GPS positioning module, it automatically collects three-dimensional coordinates of longitude, latitude, and altitude, and can visually display device location and distribution information on GIS maps.

9. Intelligent imaging unit: equipped with an industrial grade high-definition camera with ≥ 12 million pixels, providing clear imaging of live pests; After the photo is taken, the flipping board is automatically executed to remove insects, ensuring continuous monitoring.

10. Insect storage: Sealed insect boxes are used to prevent insect loss and facilitate subsequent sampling, verification, and cleaning.

11. Environmental adaptability: It can work stably in harsh outdoor environments, with a working temperature of -20 ℃ to 70 ℃ and a working humidity of 0% to 95% (no condensation).

12. Multi dimensional data collection: Real time collection of lure insect numbers, insect body photos, environmental temperature and humidity (standard), meteorological data such as wind speed, soil temperature and humidity, light, rainfall, etc. (optional), automatically uploaded to the smart agriculture IoT platform for unified management.

13. Infrared precise counting: using a window type fiber optic sensor to achieve blind spot monitoring, with a monitoring window of 50mm × 50mm, capable of identifying insects ≥ 0.5mm; Detection frequency ≥ 10000 times/second, using invisible infrared light to reduce interference with insect behavior.

14. Dual mode intelligent counting: fusion of infrared counting and AI image recognition dual verification, with a counting accuracy of ≥ 95%; Support manual annotation and review by experts, and automatically generate pest statistical analysis reports.

15. Rain and snow adaptive control: equipped with automatic heating rain control components to avoid the impact of rain, snow, and frost on monitoring; The working mode of the equipment can be automatically adjusted according to the rainfall status.

16. Rainwater separation and drainage: The independent drainage structure design automatically discharges rainwater, achieving effective separation of rain and insects, ensuring that there is no accumulated water inside the chassis, and adapting to rainy, high humidity and other weather conditions.

17. Threshold warning function: supports customizing various sensor alarm thresholds, and triggers real-time monitoring warnings for abnormal states; Alarm information can be pushed through WeChat to achieve precise and timely prevention and control reminders.

18. Offline cache protection: Automatically enable local cache in case of network interruption, capable of storing approximately 500000 pieces of data; Automatically resume transmission to the platform after network recovery to ensure data integrity and no loss.

19. Intelligent control of time periods: Based on the living habits of target pests, remote setting of working time periods for components such as the power grid can improve trapping efficiency.

20. Timed stability mechanism: supports multi period timed restarts, reduces system lag and failures, and ensures long-term stable operation.

21. High and low temperature protection: Users can customize the high and low temperature protection threshold, and the equipment will automatically enter sleep mode during the winter pest dormancy period, extending the service life of the whole machine.

22. Multi terminal remote viewing: Supports remote viewing of device online status, signal strength, power supply voltage, historical data, and remaining data through mobile apps, WeChat mini programs, and web management platforms.

23. Remote intelligent operation and maintenance: automatically analyze the fault point through system logs when the equipment is abnormal; Support remote one click restart and scheduled restart, achieve unmanned intelligent operation and maintenance, and ensure long-term reliable operation of the system.

24. Remote OTA upgrade: Based on cloud servers, firmware, systems, and applications can be automatically upgraded remotely, with synchronized updates of security patches and functional iterations. The entire process does not require on-site operation, continuously improving device performance and security.

3、 Platform functions

1. Fault alarm: It has functions such as equipment displacement alarm and threshold alarm.

2. Real time upload: Monitor data is uploaded in real-time to the cloud platform for backup, ensuring that data is not lost.

3. Data query and export: Monitoring data can be screened in different time periods according to demand, and monitoring data can be viewed and exported in the form of curve charts, EXCEL tables, etc.

4. Threshold setting: The pest threshold can be remotely set, and when the set value is reached, the system will automatically issue a WeChat warning.

5. WeChat early warning: When the device triggers an early warning, the relevant information will be pushed to the user in real time through the WeChat official account, helping the user respond quickly and dispose in time, and strengthening the effect of prevention and early warning.

6. AI intelligent Q&A: Deeply integrated with DeepSeek big language model technology, supporting multiple rounds of natural language interaction, launching the "Xiaodi AI" 7 × 24 hours online intelligent agricultural technology Q&A expert to guard the field problems at any time.

7. AI intelligent analysis: By analyzing the historical occurrence patterns of pest infestations, generating comprehensive prevention and control plans, warning suggestions, and outputting structured PDF reports, it achieves full chain decision support for pest management.

8. Intelligent solution: Based on massive agricultural knowledge graphs and real-time environment/pest and disease databases, it supports one click AI generation of standardized planting plans, disease control plans, and pest control plans.

9. Pest risk: By combining historical pest data with meteorological data (such as rainfall, temperature, humidity), analyzing the relationship between the emergence cycle, egg production, and meteorological factors of American white moths in different climate zones, dynamically adjusting the risk level, and achieving precise prevention and control and resource optimization allocation.

10. Data analysis: Support remote viewing of historical pest data change curves to assist in predicting pest occurrence patterns; Accurately access the insect situation images corresponding to the outbreak period, and intuitively trace key nodes; Support exporting pest situation reports (daily/weekly/monthly/annual reports, etc.) and curve images for easy statistical summary and visual presentation; Support year-on-year analysis of the number of specified pest types by day/month on the same device over the years, visually displaying the trend in the time dimension; Support comparing the differences in the occurrence of specified pest types between different regions (devices) during the same period to assist in regional control decisions.

11. Free installation and use: Real time viewing, remote control, and full process management of devices can be achieved through WeChat mini programs, without the need for installation, providing users with a convenient experience of "ready to use".

12. Scalable data access: Provides standardized protocol interfaces, supports seamless integration of users with their own platforms, and enables secondary development and deep application of data.

13. Pest Archive: A complete list of over 1100 common pests, providing detailed information on habits, occurrence range, hazard characteristics, and control measures.

14. Full cycle dynamic monitoring map: Provide a dynamic monitoring map of the pest situation cycle, recording the time nodes and corresponding population numbers of the target pest's initial, peak, and final emergence periods, and visualizing the population growth and decline trend through curves.