Wireless Pest Management System Using Multi-Sensor Detection
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Solution Overview
Problem
Current rodent traps in industrial settings require constant monitoring and lack specificity in detecting pests, leading to inefficient pest control and data collection, as they cannot differentiate between types of pests or provide detailed infestation information.
Innovation Solution
A system utilizing a combination of sensors with variable sensitivity, configured to locate and identify pests, which communicates via a wireless network to a coordinator, router, and host server, enabling remote monitoring, data transmission, and alert generation based on predefined thresholds, allowing for accurate pest detection and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional rodent traps are used for pest control, then pest trapping function is provided, but labor cost for routine checking is significant and monitoring efficiency is low
Solution Approach 1:
The pest control system performs self-monitoring through integrated sensors that automatically detect pest presence, trigger traps, and send alerts without human intervention. The system serves itself by autonomously completing the monitoring and response cycle, eliminating the need for manual routine checking while maintaining effective pest control.
2Measurement precision
If traditional pest control devices are used, then basic pest trapping is achieved, but specificity in detecting and differentiating pest types is lacking
Solution Approach 1:
The system merges multiple sensor types (motion sensors, heat sensors, sound sensors, cameras) into a unified pest detection platform. This combination allows the system to cross-validate signals and accurately differentiate between pest types by analyzing multiple parameters simultaneously, achieving high detection specificity without requiring separate devices for each sensor type.
Solution Approach 2:
The integrated sensor system serves multiple functions: detecting motion, measuring temperature changes, capturing audio signals, and recording visual evidence. This multi-functional approach enables a single system to identify various pest types (rodents, insects, birds) using different detection methods, improving measurement precision while consolidating device complexity into one universal platform.
3Loss of information
If manual pest control monitoring is implemented, then basic pest presence detection is possible, but comprehensive data collection and analysis capability is limited
Solution Approach 1:
The system implements continuous feedback loops where sensors monitor environmental parameters and pest behavior, the processor analyzes this data in real-time, and the system automatically adjusts trap activation and alert generation accordingly. This feedback mechanism ensures comprehensive data collection while maintaining manageable system complexity through automated decision-making algorithms.
Solution Approach 2:
The wireless communication module acts as an intermediary between the physical sensor environment and the data management system. It transmits sensor data to remote servers and delivers alerts to users, decoupling the complexity of data collection from data analysis. This intermediary layer allows comprehensive data gathering without requiring complex local processing infrastructure.
Data Source
AI summary
The disclosure concerns systems and methods for wirelessly managing sensing, communicating, storing, and evaluating data gathered from a plurality of pest control devices, the system comprising: a plurality of pest checkpoints; a coordinator in wireless communication with the plurality of pest checkpoints; optionally a router in wireless communication with the session coordinator and the pest checkpoint; a web-site in communication with the session coordinator; a client interface in communication with the web-site; and a host server in communication with the web-site.