DFOS Bridge Location Identification via Signal Binarization
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Solution Overview
Problem
Existing distributed acoustic sensor systems using optical fibers along roadways face challenges in accurately determining the precise location of traffic information due to non-parallel installation of optical fibers and the presence of extra fiber sections, which affects the precision of traffic data collection and analysis.
Innovation Solution
The system employs distributed fiber optic sensing data to identify fixed reference points like bridges and extra fiber portions by filtering and preprocessing data using estimated frequency ranges, calculating spread features, and applying binarization techniques to enhance location precision and exclude non-bridge and extra fiber portions from traffic data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If optical fibers are installed along roadways for traffic monitoring, then traffic data collection capability is improved, but location precision deteriorates due to non-parallel installation and extra fiber sections
Solution Approach 1:
The system performs preliminary identification of bridge locations and extra fiber portions before traffic data analysis. By detecting these reference points and anomalies in advance through signal processing, the system can compensate for their effects on location measurements, thereby maintaining both data collection capability and location precision.
Solution Approach 2:
The patent introduces intermediary reference points (bridges) and processed signal features as mediators between the raw optical fiber data and the final location determination. These intermediaries help correct the distortion caused by non-parallel installation and extra fiber sections, allowing accurate location precision to be maintained despite the physical imperfections in fiber deployment.
2Productivity
If distributed acoustic sensors are used to detect vehicle vibrations, then traffic monitoring capability is improved, but signal noise increases affecting individual vehicle detection
Solution Approach 1:
The system extracts and removes harmful noise components from the vibration signals detected by distributed acoustic sensors. Through signal processing techniques, the system separates the useful vehicle vibration signals from the noise, thereby maintaining traffic monitoring capability while reducing the harmful noise that obscures individual vehicle detection.
Solution Approach 2:
The patent converts the noise problem into a beneficial filtering opportunity by using the identified bridge locations and signal characteristics to create filters that enhance the desired signals. The previously harmful noise and interference are used to characterize and remove unwanted components, thereby improving the signal-to-noise ratio for individual vehicle detection.
Data Source
AI summary
A distributed optical fiber sensing (DFOS) system includes a non-transitory computer readable medium configured to store instructions thereon. The DFOS system includes a processor connected to the non-transitory computer readable medium. The processor is configured to receive DFOS data from a sensor connected to an optical fiber, wherein the optical fiber is adjacent a roadway having a bridge. The processor is further configured to filter the DFOS data based on a frequency range. The processor is further configured to generate a plurality of spread features, wherein each spread feature of the plurality of spread features corresponds to a channel of a plurality of channels of the filtered DFOS data. The processor is further configured to perform binarization of the plurality of spread features. The processor is further configured to identify a location of the bridge along the roadway based on results of the binarization of the plurality of spread features.