Optical Fiber Intrusion Detection With Time-Window Alarm Invalidation
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Solution Overview
Problem
Existing optical fiber sensor-based intrusion detection systems inaccurately determine abnormalities due to positional coincidences with maintenance work, lacking comprehensive consideration of detection time and environmental noise.
Innovation Solution
Implementing a method that sets a first area for abnormality detection, a second area where detection is invalidated, and an invalid time zone, determining no abnormality if detected within the second area and time zone, using optical fiber sensors, moving objects, and mobile terminals to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the intrusion detection system determines abnormality based on position coincidence with maintenance work, then the system can identify potential intruders, but it causes erroneous determination when maintenance workers are present
Solution Approach 1:
The system performs preliminary actions by acquiring schedule information about maintenance work and sound generation activities before abnormality detection. It sets invalid time zones in advance based on scheduled maintenance activities and sound generation plans, so that when abnormalities are detected during these pre-identified periods, they are automatically invalidated. This prevents erroneous determinations before they occur.
Solution Approach 2:
The system introduces schedule information and sound generation information as intermediary data between the optical fiber sensor detection and the final abnormality determination. These intermediaries provide contextual information about expected activities, allowing the system to distinguish between legitimate maintenance-related sounds and actual intrusions, thereby reducing erroneous determinations.
2Device complexity
If the system validates abnormality detection based only on position coincidence, then the detection process is simple, but the determination accuracy is insufficient
Solution Approach 1:
The system merges multiple information sources including optical fiber sensor detection data, schedule information about maintenance work, and sound generation information into a unified abnormality determination process. By combining these diverse data types and validating them together through integrated processing, the system achieves higher detection accuracy while managing complexity through systematic integration.
3Area of stationary object
If the system continuously monitors all areas for abnormalities, then detection coverage is maximized, but false alarms increase during maintenance activities
Solution Approach 1:
The system segments the monitoring area into valid detection zones and invalid time zones based on schedule information. During periods when maintenance work or sound generation activities are scheduled, corresponding areas are temporarily marked as invalid zones where abnormality detection is suspended. This segmentation allows continuous spatial coverage while temporally excluding periods known to generate false alarms.
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
Enhances abnormality determination accuracy by considering both position and time of detection, reducing erroneous determinations from maintenance activities and environmental noise.
Implementation Method 1
an abnormality inside a first area AR1 is determined based on state information of the inside of the first area AR1 detected by an optical fiber sensor 12
Data Source
AI summary
An abnormality determination method capable of contributing to improvement of abnormality determination accuracy is implemented. The abnormality determination method according to an example embodiment of the present disclosure includes: setting a first area for an optical fiber sensor to attempt to detect an abnormality; setting a second area in which detection of an abnormality is invalidated when the abnormality is detected in the first area; setting an invalid time zone in which detection of an abnormality is invalidated when the abnormality is detected in the first area; and determining, when an abnormality is detected in the first area, that no abnormality has occurred in the first area in a case where a position where the abnormality is detected is inside the second area and a time when the abnormality is detected is within the invalid time zone.