Optical Fiber Sensor Data Processing for Equipment Abnormality Detection
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Solution Overview
Problem
Existing techniques for detecting equipment abnormalities using optical fiber sensors fail to accurately specify the equipment with anomalies.
Innovation Solution
An information processing apparatus that acquires data from optical fiber sensors, determines the affected equipment using measurement data, and outputs instructions for inspection by an autonomous inspection apparatus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement data is collected at multiple points, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The optical fiber sensor serves multiple functions: it acts as both the sensing element and the transmission medium, while the same sensor system supports measurements at multiple points along the fiber length. This multi-functionality allows improved measurement precision across multiple locations without proportionally increasing device complexity
Solution Approach 2:
The optical fiber acts as an intermediary that distributes the sensing function along its length. By embedding the fiber near equipment, it mediates between the measurement points and the detection system, enabling multi-point measurement without requiring separate sensors at each location
2Loss of information
If equipment specification accuracy is improved, then loss of information is reduced, but calculation complexity increases
Solution Approach 1:
The system transitions from single-point to multi-dimensional measurement by utilizing spatial distribution along the optical fiber. Measurement data from multiple points along the fiber provides additional dimensional information that improves equipment specification accuracy without requiring proportionally more complex processing
Solution Approach 2:
The system uses feedback from measurement data at multiple points to iteratively improve equipment abnormality specification. The control unit processes measurement results and adjusts identification based on accumulated information, reducing loss of information through continuous refinement
Data Source
AI summary
An information processing apparatus (10) includes: acquisition means (11) for acquiring information indicating a first point, information indicating a second point, first measurement data measured at the first point, and second measurement data measured at the second point; control means (12) for determining equipment to be inspected on the basis of the data acquired by the acquisition means; and output means (13) for outputting information based on the equipment determined by the control means.