Wireless Intrusion Detector Supervision for Faster Tamper Detection
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Solution Overview
Problem
Security sensors in security systems are susceptible to tampering, leading to undetected alarm conditions due to infrequent check-ins, which can result in delayed detection of tampering and increased false alarms.
Innovation Solution
Implementing staggered supervisory signal schedules for wireless security sensors with offset transmission times to expedite detection of tampering, using different supervisory rates based on risk assessment and system state, and employing AI for predictive rate adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security sensors check-in infrequently with the security panel, then false alarms are reduced through confirmation requirements, but tampering detection is delayed
Solution Approach 1:
The system dynamically adjusts the check-in frequency of security sensors based on their operational status. Sensors that are newly installed, recently tampered with, or suspected of being compromised are placed on a higher supervisory rate with more frequent check-ins, while normal sensors operate on a lower supervisory rate. This dynamic adjustment allows the system to maintain robust confirmation procedures for normal operation while rapidly detecting tampering when it occurs.
Solution Approach 2:
The system implements periodic check-in schedules for security sensors with different supervisory rates. Instead of continuous monitoring, sensors transmit supervisory signals at predetermined periodic intervals. The system provides multiple periodic schedules (first supervisory rate, second supervisory rate, etc.) that can be applied to different sensors or the same sensor at different times, allowing flexible adjustment of detection speed while managing system resources.
2Loss of time
If security sensors check-in frequently with the security panel, then tampering detection is expedited, but false alarms increase and system robustness decreases
Solution Approach 1:
The system applies different check-in frequencies (supervisory rates) to different security sensors or different operational contexts. Rather than using a uniform high-frequency check-in for all sensors, the system locally optimizes each sensor's check-in rate based on its specific risk profile, operational status, and historical performance. This allows rapid tampering detection for high-risk sensors while maintaining system robustness through confirmation requirements for low-risk sensors.
3Ease of operation
If all security sensors use the same check-in schedule, then system management is simplified, but tampering detection window is extended
Solution Approach 1:
The system segments the security sensor population into different groups or categories that operate on different supervisory rates. Sensors are divided into first supervisory rate sensors, second supervisory rate sensors, and potentially other groups, each with their own check-in schedules. This segmentation allows the system to manage complexity through organized groups while ensuring that at least some sensors (those on higher supervisory rates) provide rapid tampering detection, reducing the maximum undetected tampering window across the entire system.
Data Source
Figure 1
Figure 2
Figure 3A
AI summary
A first sensor periodically communicates at a first supervisory rate and a second sensor periodically communicates at a second supervisory rate. A first tamper alarm associated with the first sensor is issued when the first supervisory signals are not received from the first sensor at the first supervisory rate. A second tamper alarm associated with the second wireless security sensor is issued when the second supervisory signals are not received from the second sensor at the second supervisory rate. The first supervisory signals and the second supervisory signals are scheduled in a manner that helps detect tampering with one or more of the first and/or second security sensors in an expedited manner.