Optical Fiber Signal Correction for Environment Recognition
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Solution Overview
Problem
Existing optical fiber sensing technologies can only detect unique vibration patterns and specify the position of utility poles, failing to accurately recognize surrounding environments, especially when patterns are unknown or when objects other than utility poles are present.
Innovation Solution
An information processing device and method that acquires measurement signals from optical fiber cables, uses a prediction model to predict the environment at measurement points, and corrects these predictions based on comparisons between predicted and actual signals, incorporating a signal processing system with an acquisition unit, prediction unit, correction unit, and correlation matrix calculations to enhance recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a prediction model is used to predict environment from measurement signals, then prediction capability is improved, but accuracy deteriorates when signals deviate from training data
Solution Approach 1:
The patent implements feedback by comparing the predictive environment with the actual measurement signal and using this comparison to correct the predictive environment. The correction unit receives both the predictive environment from the prediction model and the actual measurement signal, compares them, and generates a corrected predictive environment that combines the strengths of both the model-based prediction and the actual measurement data.
2Measurement precision
If only unique vibration patterns are detected, then utility pole position specification is achieved, but surrounding environment recognition deteriorates
Solution Approach 1:
The patent makes the system multi-functional by enabling it to perform both precise position specification (through detecting unique vibration patterns) and general environment recognition (through predicting environment from measurement signals). The prediction unit predicts various environmental conditions while the correction unit refines these predictions, allowing the system to handle both specific object detection and general environmental assessment simultaneously.
3Ease of operation
If measurement signals are used directly without correction, then processing simplicity is maintained, but recognition accuracy deteriorates
Solution Approach 1:
The patent applies preliminary action by having the prediction unit generate a predictive environment before the correction step. This predictive environment serves as a preliminary processed version of the measurement signal that incorporates the prediction model's knowledge, making the subsequent correction process more effective and accurate while maintaining reasonable processing complexity.
Data Source
AI summary
An information processing device includes an acquisition unit that acquires measurement signals measured at a plurality of measurement points on a laid optical fiber cable, a prediction unit that predicts a predictive environment representing the environment of each of the measurement points from each of the measurement signals by using a prediction model set in advance, and a correction unit that corrects the predictive environment on the basis of a comparison between the predictive environment of each of the measurement points and the measurement signal measured at each of the measurement points.