Optical Fiber Vibration Pattern Analysis for Seismic Monitoring
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Solution Overview
Problem
Existing natural phenomenon monitoring systems, such as those using optical fibers, face challenges in differentiating between earthquakes and volcanic tremors or identifying the P and S waves of seismic waves with sufficient precision.
Innovation Solution
A monitoring system comprising optical fibers laid on the ground or seabed, equipped with an optical fiber sensing unit to detect vibrations and an analyzing unit that identifies natural phenomena based on unique patterns of detected vibrations, using pattern matching or machine learning to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If optical fiber loops of different lengths are used to detect load and determine natural phenomena based on moving speed, then the monitoring coverage is improved, but the measurement precision deteriorates because it is difficult to differentiate between earthquake, volcanic tremor, S wave, and P wave
Solution Approach 1:
The optical fiber is divided into multiple sections with different lengths, and each section independently detects vibration patterns. The analysis unit segments the vibration data from different fiber sections and analyzes their unique patterns separately, enabling precise identification of natural phenomena types while maintaining comprehensive monitoring coverage
Solution Approach 2:
The system transitions from analyzing only the moving speed of loads to analyzing the unique vibration patterns across multiple dimensions including amplitude, frequency, duration, and spatial distribution. This dimensional expansion enables differentiation between various natural phenomena and wave types that cannot be distinguished by speed alone
2Device complexity
If only the moving speed of load is used for determination, then the system complexity is reduced, but the measurement precision deteriorates as precise differentiation between natural phenomena becomes difficult
Solution Approach 1:
The system replaces complex mechanical analysis methods with optical fiber-based vibration detection and pattern recognition algorithms. The optical fiber sensing unit detects vibration patterns, and the analyzing unit uses computational methods to identify natural phenomena, achieving high precision while maintaining relatively simple system structure
Solution Approach 2:
The system changes the detection parameter from simple load magnitude to comprehensive vibration patterns including multiple characteristics. By analyzing changes in vibration parameters such as frequency spectrum, amplitude modulation, and temporal patterns, the system achieves precise phenomenon identification without significantly increasing system complexity
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 more accurate and detailed identification of natural phenomena, such as earthquakes, tsunamis, and volcanic activities, by analyzing dynamic vibration patterns, improving monitoring capabilities beyond point-based seismometers.
Implementation Method 1
an optical fiber sensing unit configured to receive an optical signal from the optical fiber and detect a vibration produced in the ground or the seabed based on the optical signal
Data Source
AI summary
A monitoring system according to the present disclosure includes an optical fiber (10) laid on a ground or a seabed, an optical fiber sensing unit (21) configured to receive an optical signal from the optical fiber (10) and detect a vibration produced in the ground or the seabed based on the optical signal, and an analyzing unit (22) configured to identify a natural phenomenon that has caused the detected vibration based on a unique pattern of the detected vibration.