Optical Fiber Signal Processing Apparatus for Event Detection
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Solution Overview
Problem
Existing optical fiber sensing technologies face challenges in efficiently detecting events across a large number of time-series signals due to increased computation costs and varying signal quality along the optical fiber, making it difficult to identify relevant signals related to events.
Innovation Solution
A signal processing apparatus and method that acquires signals from multiple points along an optical fiber and determines the presence of events by calculating the degree of similarity between adjacent signals, using a signal acquisition unit, set generation unit, degree of similarity calculation unit, and event determination unit to assess signal similarity and detect anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If event detection technology is expanded from a small number of channels to a large number of channels, then the coverage and detection capability are improved, but the computation cost increases significantly
Solution Approach 1:
The patent segments the large number of channels into multiple groups, where each group is processed independently to calculate event scores. This grouping approach reduces the overall computation cost by avoiding exhaustive processing of all channels simultaneously, while still maintaining comprehensive detection coverage across all channels through the coordinated analysis of multiple groups.
2Adaptability or versatility
If event detection technology is expanded to a large number of channels, then the detection coverage is improved, but the computation cost increases
Solution Approach 1:
Channels are divided into multiple groups for parallel processing, improving processing efficiency by reducing the computational burden on any single processing unit. This segmentation allows the system to handle large numbers of channels without proportionally increasing computation time, thereby maintaining high productivity while expanding detection coverage.
Solution Approach 2:
The patent calculates event scores for all channels but applies different processing depths based on signal characteristics. For channels with low signal quality or low probability of containing events, the processing is simplified or skipped, allowing the system to focus computational resources on channels more likely to contain relevant events, thus improving overall processing efficiency.
3Adaptability or versatility
If event detection is performed on all channels, then the detection coverage is improved, but it becomes difficult to identify relevant signals due to varying signal quality
Solution Approach 1:
The patent applies different processing strategies to different channels based on their local signal quality characteristics. Channels with high signal quality undergo more rigorous analysis, while channels with low signal quality are processed differently or given lower weights in the final event score calculation. This local quality approach allows the system to maintain high detection coverage while improving signal identification accuracy by adapting processing to each channel's characteristics.
Data Source
AI summary
A signal processing apparatus according to the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire signals measured by a signal measurement apparatus at a plurality of points located along an optical fiber; and determine whether there is an event based on a degree of similarity between the signals measured at points adjacent points.