同济大学学报（自然科学版）2024，Vol.52Issue(12)：1947-1954,8.DOI:10.11908/j.issn.0253-374x.23122
基于光纤测温和小波降噪的污水管道检测方法
A Sewer Detection Method Based on Fiber-Optic Distributed Temperature Sensing and Wavelet Based Denoising
摘要
Abstract
This paper proposed a method to determine background noise of fiber temperature sensing data based on wavelet denoising,and then detected in-sewer inflow events without disturbing sewer flow conveyance.This method proposed was validated using detected dynamic inflow events in an actual sewer system.It was found that different wavelet denoising algorithms provide background noises that span a wide range,and a noise threshold of about±0.3℃corresponds to the best identification of actual sewer and stormwater inflow events.Threshold rescaling is the dominant factor for algorithm employment,where the multi-level rescaling method is obviously superior to the non-rescaling and single-level rescaling method.Accordingly,optimized parameters for the wavelet denoising algorithm including wavelet function,threshold selection rules and threshold rescaling were proposed,to enhance the reliability of sewer detection.关键词
污水管道/管道入流/光纤分布式测温/小波分析/管道检测Key words
sewer pipe/pipe inflow/fiber-optic distributed temperature sensing/wavelet analysis/pipe detection分类
资源环境引用本文复制引用
尹海龙,吴玟萱,胡意扬,魏卿,祁海玥..基于光纤测温和小波降噪的污水管道检测方法[J].同济大学学报（自然科学版）,2024,52(12):1947-1954,8.基金项目
国家自然科学基金面上项目(52170103) （52170103）
国家重点研发计划资助项目(2021YFC3200703) （2021YFC3200703）
上海市水务局科研项目 （）
