Traditional insect pest monitoring relies on manual inspections and light trap counting, which suffer from low efficiency, poor timeliness, and inaccurate data. For instance, manual pest identification has a 30% error rate and cannot provide real-time early warnings for pest outbreaks. With advancements in AI image recognition, IoT, and edge computing, AI-driven insect monitoring systems now enable automated trapping, intelligent identification, and dynamic early warnings, shifting pest control from reactive responses to proactive prevention.
The Insect Monitoring and Reporting System represents the next generation of pest forecasting tools. Also known as Smart Monitoring Lights or Intelligent Pest Monitoring Lights, these devices use stainless steel materials and modern photoelectric and numerical control technologies to automate insect trapping, killing, collection, sorting, and drainage. Operated without human intervention, the system performs tasks such as insect attraction, extermination, collection, packaging, and water drainage. By integrating photoelectric controls, IoT, and wireless communication, the system establishes a comprehensive pest ecological monitoring and early warning platform. It combines insect trapping, photography, environmental data collection, data transmission, and analysis to automate pest attraction, classification, real-time reporting, remote monitoring, early warnings, and control guidance. Key features include stable performance, user-friendly operation, and flexible configurations.
Working Principles
Light Control:
When ambient light intensity remains ≥4 lux for 1 minute, the system enters standby mode (circuit contact opens).
When light intensity drops <4 lux for 1 minute, the circuit closes, and the light activates for operation.
Rain Control:
Upon detecting rainfall (humidity >95%), the rain sensor triggers the controller to activate the drainage system, preventing rainwater from entering the insect collection channel. Water is diverted to the drainage outlet. After rain stops, the system resumes nighttime operation and enters standby during daylight.
Insect Trapping:
Insects are lured by UV lights, collide with a glass screen, and fall into a funnel before entering an infrared-treated chamber.
Insect Processing:
Insects are killed via infrared heating within 3–5 minutes of contact. To prevent accumulation, the chamber’s lower door opens periodically to drop processed insects into a collection box. A dual-stage heating cycle ensures complete extermination.
Insect Collection:
At dawn or user-defined intervals, the rotating tray shifts to the next collection box.
System Features
Infrared Processing: ≥98% insect mortality rate with intact specimen preservation.
Smart Pest Identification: Remote automated photography with wireless image transmission to the platform; historical data images are timestamped and stored.
Automatic Rainwater Separation: Integrated drainage system prevents rainwater interference.
GPS Positioning: Enables remote configuration, real-time monitoring, theft prevention, and geospatial device mapping.
Self-Cleaning Mechanism: Vibrating + brushing design ensures no cross-contamination between collected insects.
Integrated Cloud Platform: Unified IoT solution for data collection, remote control, analytics, and early warnings.
Platform Features
GIS Mapping: Geospatially locates devices on a map with integrated anti-theft functionality.
Real-Time Monitoring: Tracks device status (light/rain/temperature controls, heating, door status, signal strength, data usage) for troubleshooting and predictive maintenance.
Adaptive Operation:
Automatic hibernation during extreme temperatures to extend lifespan.
Three working modes (standard, energy-saving, intensive) and customizable schedules for insect collection, heating, and temperature.
Environmental Analytics: Displays real-time air temperature, humidity, chamber temperature, GPS coordinates, and data timestamps. Historical data is visualized via charts and line graphs to support trend analysis and pest outbreak forecasting.
