Color induced insect monitoring system, color induced detection lamp monitoring station

1Color induced insect monitoring system, color induced detection lamp monitoring stationProduct Introduction:

The ZD-JZA7 color induced insect monitoring, early warning and control system uses sticky insect rolls for color induced insect catching. It is a monitoring and reporting system that integrates remote control, automatic pest trapping, scheduled collection of pest photos, data transmission, data statistics, and data analysis. It uses a 48 megapixel industrial camera that can capture clear images of pests in the field. The system utilizes wireless transmission technology, Internet of Things technology, and other technologies to predict the future trends of pests and diseases. It also has AI recognition function. Through machine learning, computer vision and other technologies, the system can autonomously learn and continuously improve its judgment ability. On the platform, it can automatically identify and count pests, analyze and warn of their occurrence and development. This system has the characteristics of stable performance, easy operation, and flexible settings.

It can be widely applied in various pest monitoring fields such as agricultural pests, forestry pests, etc.

Common pest monitoring applications

Seduction:

Yellowing pest

*Vegetable Garden: Seven star ladybugs, bees, stem bees, cabbage butterflies, small black flying bees, tobacco whiteflies, etc;

*Tea trees: tea gall mites, tea orange gall mites, tea geometrids, tea silver geometrids, tea brown moths, tea yellow thrips, leafhoppers, etc;

*Orchard: fruit flies, grape leafhoppers, pear art bees, pear psyllids, pear diameter bees, scarab beetles, apple eating flies, etc;

*Flowers: tobacco whiteflies, yellow croaker beetles, scale insects, etc;

*Rice paddies: planthoppers, whiteflies, leaf miner flies, American spot miner flies, flat thorn moths, etc;

*Corn: corn borer, fruit sucking armyworm, green bug, fruit sucking armyworm, etc;

Blue leaning pests

*Vegetable garden: melons, thrips, etc;

*Orchard: pear psyllid, leaf miner fly, fruit fly, mango thrips, etc;

*Flowers: flower thrips, palm thrips, tobacco thrips, etc;

*Tea trees: tea yellow thrips, tea night nymphs, etc;

*Rice paddies: rice planthoppers, rice borers, striped rice butterflies, etc;

*Corn: cotton bollworm, wax medium, leafhopper, cotton bollworm, etc;

Greening pests

*Vegetable garden: small cabbage, mole crickets, thrips, cabbage green worms, locusts, etc;

*Tea trees: tea black thorns, whiteflies, etc;

*Rice paddies: rice leaf rollers, longhorn beetles, rice borers, etc;

*Corn: drillworms, etc;

IIColor induced insect monitoring system, color induced detection lamp monitoring stationTechnical specifications

1. Appearance structure: The overall structure adopts stainless steel electrostatic powder coating technology, which is sturdy and durable, with an overall height of 2.5 meters.

2. Power supply mode: Supports AC 220V or solar power supply DC12V (80W 40AH solar power supply system);

3. Equipment power: standby power ≤ 10W, operating power ≤ 30W.

4. Display screen: Equipped with a 7-inch Android industrial intelligent touch screen, Android intelligent control system, new gesture control, providing an intelligent human-computer interaction experience.

5. Collection host: using 4H processor and Android V10.0 operating system; Running memory 2G; supports sd3.0, up to 1TB (optional); Support 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 host running pages and status, remote execution of device restart, application installation/uninstallation operations.

7. Communication method: Supports multiple networking methods such as WIFI/4G/Ethernet; This device uses TCP (MQTT) protocol and HTTP protocol for data uploading.

8. GPS positioning: Integrated GPS positioning module, supporting multiple positioning methods such as GPS, BDS, GLONASS, and remote switching of multiple combination positioning methods; Automatically collect three-dimensional coordinates (longitude, latitude, altitude); Equipment sites and other data can be viewed in GIS maps.

9. Color lure: Use color palettes (yellow/blue/green) to lure pests with color tendencies, and the types of pests are controllable; It can also be attracted by additive pheromones.

10. Color palette automatic replacement: The system can set the color palette replacement time to achieve automatic replacement of insect traps.

11. Camera setup: Equipped with an industrial high-definition camera with a resolution of ≥ 4800W, it automatically captures images of pest infestations and uploads them to the smart agriculture IoT cloud platform.

12. Data processing: The system builds an insect situation database and uses AI intelligent recognition technology to classify and count the types and quantities of insects; And presented in the form of a curve graph, which is more intuitive and clear.

13. Automatic recognition: The system has pest recognition function, with an accuracy rate of ≥ 90% for common agricultural and forestry pests. The recognized pests include but are not limited to: Spodoptera litura, Spodoptera exigua, leafhopper, longhorn beetle, scarab beetle, rice planthopper, rice leaf roller, diamondback moth, tea geometer, cotton bollworm, ground tiger and hundreds of other pests; Joint expert manual annotation and review to achieve automated generation of pest statistics reports.

14. Data storage function of *: When the network fails, the local data caching mechanism is activated with a storage capacity of about 500000 pieces. After the network is restored, the cached data is automatically uploaded to the server to ensure data security and prevent loss.

15. Working environment: able to work normally in harsh environments, working temperature: -20 ℃ -70 ℃; Working humidity: 0-95%.

16. High and low temperature protection: Users can set their own high and low temperature protection temperatures. During the winter pest dormancy period, the equipment automatically enters a dormant state, extending the lifespan of the machine.

17. Time period control: Based on the habits and habits of pests, the photography work time period can be remotely set.

18. Timed restart: Supports multi period timed restarts to ensure stable system operation.

19. Remote viewing: Supports remote viewing of device information such as online status, signal strength, voltage information, historical data query, remaining flow information, etc. through apps, mini programs, and web terminals.

20. Remote intelligent operation and maintenance: diagnose the fault location through log analysis when the device is abnormal; Support remote one click restart and preset scheduled restart, achieve unmanned health management, and ensure system stability.

21. Remote OTA upgrade: Based on cloud technology, it automatically completes device firmware/system updates and maintenance, security patches, and functional iterations without on-site operation, ensuring stable device operation and synchronized updates with security protection.

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 prescriptions, 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. Data analysis: Support remote access to 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.

10. 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".

11. 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.

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

13. 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.