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基于小波去噪的分布式光纤形变监测预警优化研究

张玉芳 杨忠民 李健 任义

北京大学学报(自然科学版)2025,Vol.61Issue(1):86-98,13.
北京大学学报(自然科学版)2025,Vol.61Issue(1):86-98,13.DOI:10.13209/j.0479-8023.2025.006

基于小波去噪的分布式光纤形变监测预警优化研究

Early Warning Optimization of Distributed Optical Fiber in Deformation Monitoring Based on Wavelet Denoising

张玉芳 1杨忠民 1李健 1任义2

作者信息

  • 1. 中国铁道科学研究院集团有限公司铁道建筑研究所,北京 100081||高速铁路轨道系统全国重点实验室,北京 100081
  • 2. 北京大学地球与空间科学学院,北京 100871||中国安全生产科学研究院,北京 100012
  • 折叠

摘要

Abstract

A method for determining alarm thresholds based on noise data characteristics is proposed,and this threshold is applied to analyze the potential alarm distribution of single/total strain monitoring data on temporal and spatial scales.Firstly,simulation tests are conducted to verify the effectiveness of wavelet denoising.Then,distri-buted optical fibers with a length of kilometer are laid at the tunnel for strain monitoring.Wavelet transform is applied in denoising analysis of distributed fiber-optic monitoring data in the tunnel.The results show that wavelet denoising can effectively restore effective signals.The warning threshold determined based on the characteristics of noise data can identify risk monitoring points more efficiently and reduce the probability of invalid alarms to a large extent.Moreover,the two locations of tunnel damage discovered through manual investigation are consistent with the risk points obtained based on fiber optic monitoring data analysis,partially verifying the accuracy of the risk points.At the same time,combined with the analysis results of the monitoring data from the tunnel and slope borehole inclinometers,it is found that the tunnel and the existing slopes have overall continuous slow creep and local sudden changes,which are risky.Strengthening monitoring and taking further preventive measures to ensure the safety of line operations are suggested.This research provides further reference for the application of wavelet denoising to extract effective data from massive data in engineering monitoring and the application of distributed optical fiber in deformation monitoring and early warning of various types of rock and soil engineering.

关键词

小波去噪/分布式光纤/隧洞变形/风险点位预警

Key words

wavelet denoising/distributed optical fiber/tunnel deformation/risk point warning

引用本文复制引用

张玉芳,杨忠民,李健,任义..基于小波去噪的分布式光纤形变监测预警优化研究[J].北京大学学报(自然科学版),2025,61(1):86-98,13.

基金项目

广东省交通集团重点研发项目(JT2023YB27)资助 (JT2023YB27)

北京大学学报(自然科学版)

OA北大核心

0479-8023

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