Locking System Sensor Correlation for Manipulation Detection
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Solution Overview
Problem
Existing locking systems are vulnerable to lock picking due to inaccuracies in production, making it difficult to distinguish between authorized and unauthorized access attempts, and existing detection methods are not reliable in differentiating between actual break-ins and other activities.
Innovation Solution
A sensor system combining an acceleration sensor to detect door movements in two dimensions and a magnetic field sensor to detect changes in the magnetic field, correlated with a control device to record and compare time-resolved profiles with a predeterminable signature, outputting an alarm signal upon matching the signature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single sensor type (e.g., acceleration sensor only) is used to detect door movements, then the device complexity is low, but the reliability of distinguishing between authorized and unauthorized access attempts deteriorates due to inability to differentiate lock picking from other activities
Solution Approach 1:
The patent combines multiple sensor types (acceleration sensor, magnetic field sensor, and optionally sound sensor) into a unified sensor system. The control device integrates data from all sensors to create a comprehensive detection capability that distinguishes lock picking from authorized access by analyzing the combined signal patterns, thereby improving reliability while managing complexity through systematic integration.
Solution Approach 2:
The patent segments the detection function into multiple independent sensor components, each responsible for detecting specific physical phenomena (acceleration, magnetic field changes, sound). This segmentation allows each sensor to be optimized for its specific detection task while the control device synthesizes their outputs to achieve reliable lock picking detection.
2Measurement precision
If multiple sensors are combined to improve detection accuracy, then the reliability of detecting unauthorized access improves, but the device complexity increases due to multiple sensors and correlated evaluation
Solution Approach 1:
The patent merges multiple sensor types (acceleration sensor, magnetic field sensor, sound sensor) into a unified detection system where the control device correlates data from all sensors. This combination enables precise detection of lock picking by analyzing the correlated signals from different physical domains, achieving high measurement precision while managing system complexity through integrated control.
Solution Approach 2:
The control device acts as an intermediary that receives raw data from multiple sensors, correlates their signals, and produces a unified detection result. This intermediary function simplifies the system architecture by centralizing the complex correlation logic in the control device rather than requiring direct integration between sensors.
3Reliability
If existing detection methods (e.g., light sensors, magnetic contact switches) are used, then the device complexity remains low, but the reliability of detecting lock picking deteriorates due to false positives from other activities
Solution Approach 1:
The patent combines multiple sensor types (acceleration sensor, magnetic field sensor, sound sensor) into a unified detection system that correlates signals from all sources. This multi-sensor approach reduces false positives by requiring correlated anomalies across multiple physical domains, thereby improving reliability while managing complexity through systematic integration.
Solution Approach 2:
The patent implements dynamic correlation analysis where the control device continuously monitors and correlates signals from multiple sensors in real-time. This dynamic approach allows the system to adapt to different access scenarios and distinguish lock picking from authorized access based on the temporal and spatial patterns of sensor signals, reducing false positives.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Significantly improves the detection of unauthorized access attempts by reducing false positives and differentiating between authorized and unauthorized manipulations, allowing for precise alarm signaling and integration with existing alarm systems.
Implementation Method 1
an acceleration sensor, which is designed to detect movements of the door in at least two dimensions
Implementation Method 2
a magnetic field sensor, which is designed to detect a magnetic field in the area of the locking system and to detect changes in the magnetic field
Data Source
AI summary
The invention relates to a sensor system for a locking system of a door, having an acceleration sensor configured to detect movements of the door in at least two dimensions, and to record a time-resolved acceleration profile, having a magnetic field sensor configured to detect a magnetic field in the area of the locking system, to detect changes in the magnetic field, and to record a time-resolved magnetic field change profile. The sensor system further comprises a control device, which is coupled to the acceleration sensor and the magnetic field sensor, and which is configured to correlate the acceleration profile to the magnetic field change profile, to compare the profile correlation with a correlation signature that can be predetermined, and if the profile correlation concurs with the correlation signature, to emit an alarm signal.