Fence Intrusion Detection With Self-Calibrating Vibration Sensors

The patent replaces the radio frequency-based detection system with a mechanical vibration detection system. Vibration sensors (accelerometers) are directly mounted on the fence panels to detect mechanical vibrations caused by intrusion attempts. This mechanical approach eliminates the complex radio frequency transmission through cables, making故障 diagnosis straightforward by simply checking sensor connectivity and power supply, thereby improving system reliability while maintaining intrusion detection capability.

Each vibration sensor node autonomously processes local vibration signals and independently determines whether an intrusion has occurred at its location. The sensors self-calibrate and self-diagnose without requiring complex centralized processing or addressing protocols. This distributed self-service approach simplifies communication while maintaining precise localization by having each node report its own status and coordinates to neighboring nodes or a simple central controller.

The patent implements different detection thresholds and analysis parameters for different fence panel locations based on their specific environmental conditions. Each sensor node adapts its sensitivity to local factors such as wind exposure, nearby traffic, or animal activity patterns. By customizing detection parameters locally rather than using a uniform threshold across the entire fence, the system maintains high intrusion detection capability while reducing false alarms from environmental factors.

The system implements periodic self-verification at optimized intervals rather than continuous monitoring. Each sensor node performs brief connectivity and functionality checks at predetermined time intervals, allowing the system to maintain reliability through regular verification while minimizing energy consumption by keeping sensors in low-power states between verification cycles. The periodic action is synchronized across the network to further reduce overall energy usage.