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基于分布式光纤温度传感器的排水管网外来水监测试验研究

Tests on Extraneous Water Monitoring in Drainage Networks Based on Distributed Optical Fiber Temperature Sensor
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摘要 外来水的大量入侵对排水管网的健康运行造成了极大的负面影响,精准识别和定位外来水是实现管网低水位健康运行的首要任务。基于搭建的室内全尺寸排水管道试验平台,进行了不同温差、管道充满度、外来水占比三个变量下的分布式光纤温度传感系统(DTS)测量试验,探讨了DTS在不同运行工况下识别排水管道外来水的可行性及其测量结果的准确性。结果表明,DTS识别外来水的可行性主要取决于外来水的占比,温差主要影响混合后水流的温度,充满度则主要影响响应时间;DTS定位外来水的精度达到设定的0.5 m,时间响应精度可达十几秒,12组试验工况在典型测量点处的相对误差平均值均小于5%,标准差平均值小于0.2℃,整体而言,DTS测量的准确性较高。 The extraneous water invasion has significant negative impacts on the drainage sewer system.The precise identification and location of extraneous water is essential for a better management of the pipeline network.Based on the full scale experiment platform,three parameters including the temperature difference,water level and extraneous water inflow ratio were tested to investigate the use of distributed fiber optic temperature sensing(DTS)for detecting extraneous water under different operating conditions and to assess the accuracy of the measurement results.The results show that the feasibility of DTS identification of extraneous water mainly relates to the water inflow ratio.The temperature difference primarily affects the temperature of the mixed water flow,while the water level mainly affects the response time.Overall,the positioning accuracy of DTS is 0.5 m and the fastest responsive time is less than ten seconds.For 12 group of test conditions,the relative error is less than 5%,and the standard error is less than 0.2℃.Therefore,the DTS performs good on detecting the extraneous water invasion.
作者 陈静如 郭帅 申屠华斌 周文明 黄荣敏 张浩 CHEN Jing-ru;GUO Shuai;SHENTU Hua-bin;ZHOU Wen-ming;HUANG Rong-min;ZHANG Hao(College of Civil Engineering,Hefei University of Technology,Hefei 230009,China;PowerChina Huadong Engineering Corporation Limited,Hangzhou 311122,China;Yangtze Ecology and Environment Co.,Ltd.,Wuhan 430062,China)
出处 《水电能源科学》 北大核心 2024年第6期134-138,共5页 Water Resources and Power
基金 长江生态环保集团有限公司科技创新团队经费资助项目(YEEC-KCTD-202207)。
关键词 DTS 外来水 排水管网 误差分析 DTS extraneous water drainage pipe network error analysis
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