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The First Accelerator of the Optoelectronic Industry Park in Weifang High tech Zone, Shandong Province
Shandong Wanxiang Environmental Technology Co., Ltd
IoT intelligent insect detection and reporting light: IoT+intelligent fusion, empowering accurate detection and reporting across the entire region
Date: 2025-12-31Read: 0
With the development of modern agriculture towards scale and precision, higher requirements have been put forward for the comprehensive coverage, real-time response, and accurate analysis of pest and disease monitoring in Wanxiang Environment, Shandong Province. The IoT intelligent insect monitoring light integrates IoT technology, AI intelligent recognition technology, and fully automatic monitoring technology, with the core advantages of "global networking, intelligent recognition, and remote control", to achieve automation, visualization, and intelligence of insect monitoring, break the limitations of traditional monitoring models, and provide efficient solutions for precise prevention and control of pests and diseases in agriculture and forestry.
Fully automated intelligent testing and reporting ensures accurate and efficient sample analysis. The equipment strictly follows national standards and integrates automated functions throughout the entire process of insect attraction, insecticidal control, insect body treatment, photography, and collection. Using light controlled insect trapping technology, precise trapping is carried out based on the phototaxis of target pests, combined with a far-infrared insecticidal chamber. After working for 15 minutes, the temperature can reach 90 ± 5 ℃, the insecticidal mortality rate is ≥ 98%, and the insect body integrity rate is ≥ 95%, ensuring both insecticidal effect and clear insect characteristics. The innovative 8-bit automatic transfer system can set working modes in different time periods, accurately matching monitoring time periods according to the living habits of pests, ensuring that insect samples from different time periods are not confused. The automatic insect feeding and vibration dispersion system of the conveyor belt can evenly spread the insect body in the shooting area, combined with a 1200W pixel high-definition camera, to achieve clear collection of insect body images and provide high-quality samples for subsequent intelligent recognition.
The Internet of Things is fully connected to achieve remote intelligent control. The device supports multiple networking methods such as 4G, WIFI, and wired, and can flexibly adapt to different monitoring scenarios to achieve global networking management of multi site devices. Through the backend intelligent management platform, staff can view the real-time working status of equipment at various sites (such as insecticide chamber temperature, transfer progress, photo frequency, etc.), insect situation pictures, and monitoring data anytime and anywhere, without the need for on-site inspections to complete comprehensive insect situation monitoring. The platform has powerful remote control functions, which can remotely set device operating parameters (such as insecticide temperature, processing time, working hours, etc.), trigger manual photography, switch working modes, upgrade device programs, greatly improving management efficiency. Built in GPS positioning module, which can accurately display the location of each device in the map, facilitating unified scheduling and management of devices. If the device malfunctions or is stolen, it can be quickly dealt with through the positioning function.
AI intelligent recognition and analysis improve the accuracy of measurement and reporting. The device is equipped with a self training AI intelligent recognition algorithm, combined with a huge self owned insect database, which can automatically analyze high-definition insect images, quickly identify pest species and quantities, and continuously improve recognition accuracy with sample accumulation. Supporting a combination of AI automatic analysis and manual correction mode, staff can review and calibrate AI recognition results to ensure the accuracy of measurement and reporting data. The platform has multi-dimensional data analysis capabilities, which can perform statistical analysis on insect situation data in different regions and time periods, generate trend charts of insect situation changes, predict the risk of pest and disease occurrence, and provide scientific basis for precise prevention and control. At the same time, it supports the addition of interfaces for environmental parameters such as wind speed and direction, ground temperature and humidity, light intensity, and rainfall. By combining environmental data with pest data for comprehensive analysis, the accuracy of prediction and warning can be further improved.
Stable adaptation to the entire environment, ensuring long-term reliable operation. The equipment has complete safety protection and environmental adaptation design, equipped with an independent rain control and drainage system, which can automatically separate rain insects and discharge rainwater, avoiding water accumulation in the box; The light control system can automatically recognize day and night changes, and is not affected by momentary strong light interference at night, ensuring stable working conditions. The fuselage is made of plastic sprayed metal frame and professional protective box, which has excellent corrosion resistance and oxidation resistance. It is equipped with lightning protection device and leakage protection device, which can effectively resist lightning strike, rainstorm, high temperature, severe cold and other adverse weather, and adapt to outdoor complex environment. The power supply supports voltage fluctuations of 220V ± 60V and has good voltage adaptability. It can be adapted through solar power supply in remote areas without stable mains electricity (additional configuration is required) to ensure long-term stable operation. Easy to install, simply prefabricate a cement platform and fix the base with expansion screws to complete deployment, suitable for various scenarios such as large-scale planting bases, forestry protection areas, agricultural research monitoring stations, ecological protection areas, etc., providing reliable guarantee for the monitoring of pests and diseases in the whole area.