Optical Fiber Sensing System for Anomaly Detection
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Solution Overview
Problem
Existing optical fiber sensing systems struggle to determine whether an event is an anomaly based on vibrations continuing over a certain period, as they cannot differentiate between events that require continuous detection and those that can be identified through single instances.
Innovation Solution
An optical fiber sensing system comprising a receiving unit, an identifying unit, an acquiring unit, and a determining unit that analyzes vibration patterns in optical signals to identify events and determines anomalies based on pre-set detection conditions related to the duration of the event.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system detects vibrations continuously over a certain period to determine anomalies, then the reliability of anomaly detection is improved, but the complexity of the detection system increases
Solution Approach 1:
The system pre-stores detection conditions (time thresholds, vibration patterns) in a database before actual monitoring begins. When vibrations are detected, the system automatically compares them against these pre-established conditions to determine anomalies, eliminating the need for complex real-time analysis algorithms and reducing system complexity while maintaining high reliability
Solution Approach 2:
The system automatically performs anomaly determination by self-comparing detected vibration patterns against stored detection conditions without requiring external intervention or complex decision-making mechanisms. The determination unit autonomously evaluates whether vibration duration exceeds predefined thresholds, enabling reliable anomaly detection through self-service operation
2Measurement precision
If the system monitors vibration patterns over extended periods to identify continuous events, then the measurement precision of event characterization is improved, but the time required for detection increases
Solution Approach 1:
The system continuously monitors vibration patterns without interruption, constantly comparing current vibrations against stored detection conditions. This continuous useful action enables precise event characterization by capturing the full duration and pattern of vibrations, while the automated comparison process ensures rapid anomaly determination that minimizes detection time
Solution Approach 2:
The system implements feedback by continuously comparing detected vibration patterns against pre-stored detection conditions and immediately determining anomalies when conditions are met. This feedback mechanism provides precise event characterization through continuous monitoring while maintaining fast response times through automated decision-making based on predefined criteria
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
Enables the system to accurately identify and flag anomalies that require continuous detection over a certain period, improving the differentiation between various types of events and enhancing security monitoring.
Implementation Method 1
how an optical fiber swings when an intruder climbs a fence or ladders a fence to climb thereover differs from how an optical fiber swings due to other factors such as wind or snow in terms of, for example, the magnitude of wavelength shift in detected backscattering light
Data Source
AI summary
An optical fiber sensing system for abnormal occurrence detection includes a receiving unit configured to receive an optical signal from an optical fiber for sensing. The system includes an identifying unit configured to identify an occurrence of an event and a type of the event that has occurred based on a vibration pattern included in the optical signal. The system includes an acquiring unit configured to acquire a detection condition pertaining to a period corresponding to the type of the event identified by the identifying unit. The system includes a determining unit configured to determine that the event identified by the identifying unit is an anomaly if the detection condition is satisfied.