Micro-motion optical fiber fusion detection method and system

By building a micro-mobile fiber fusion perception network and detection model, the problems of insufficient flexibility and poor temperature interference processing capabilities of traditional micro-mobile fiber detection technology are solved, and higher detection accuracy and reliability are achieved.

CN119882049AActive Publication Date: 2025-04-25INST OF GEOMECHANICS
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Patent Information

Application Number
CN202510386887.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-31
Publication Date
2025-04-25
Estimated Expiration
2045-03-31

AI Technical Summary

Technical Problem

Traditional micro-mobile fiber detection technology has problems such as insufficient flexibility, difficulty in fully sensing micro-mobile situations in complex environments, and poor ability to handle temperature interference, resulting in poor accuracy of detection data.

Method used

By building a micro-mobile fiber fusion perception network, collecting multi-source information and performing edge calibration, screening, matching and data inversion, a micro-mobile fiber fusion detection model is constructed to predict surface vibration.

Benefits of technology

Effectively eliminate temperature interference, deeply explore vibration characteristics, improve the accuracy and reliability of micro motion detection, and provide efficient and accurate solutions for monitoring work in related fields.

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Abstract

The invention discloses a micro-motion optical fiber fusion detection method and system, and the method comprises the steps: constructing a micro-motion optical fiber fusion sensing network, obtaining historical sensing data and position data, carrying out the edge calibration, obtaining a temperature compensation electric signal, carrying out the edge screening, obtaining a vibration electric signal, carrying out the edge matching, and determining the monitoring scale characteristics. Respectively inputting the monitoring scale characteristics and the optical fiber process parameters into an influence function to obtain a scale index and a process index, carrying out data inversion on the node vibration waves to obtain inversion vibration characteristics, and carrying out edge processing on the vibration electric signals to obtain optical fiber micro-motion characteristics; and constructing a micro-motion optical fiber fusion detection model according to the optical fiber micro-motion characteristics, and inputting to-be-detected sensing data into the micro-motion optical fiber fusion detection model to obtain a detection result. The method not only can improve the efficiency and accuracy of micro-motion optical fiber fusion detection, but also has good interpretability, and can be directly applied to a micro-motion optical fiber fusion detection system.
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Citation Information

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