基于DVS的地下管网及道路病害监测技术应用  

Underground Pipe Network and Road Disease Monitoring Technology Based on DVS

作　　者：崔萧 Cui Xiao(CSSC Institute of the Engineering Investigation&Design Co.,Ltd.,Shanghai 200063,China)

机构地区：[1]中船勘察设计研究院有限公司,上海200063

出　　处：《岩土工程技术》2024年第3期322-329,共8页Geotechnical Engineering Technique

摘　　要：针对常规探测方法在地下管线泄露与道路空洞监测方面存在成果精准度不高、应用效果不足、无法实现自动化等问题,提出借助分布式光纤振动传感技术对地下管网及道路病害进行监测,研发一种能实时智能监测地下管网运维状态及道路路基、周边土质病害变化的技术方法。通过试验进行验证,对前端光纤设备自动采集周围的信号及背景噪声进行分析,提高探查地下管网及道路病害的监测效率和准确率。试验结果表明,该方法对地下管线泄露与道路病害的整体识别率达90%以上,达到满足地下管网及道路养护、预防事故发生的需求。Because of the problems of low accuracy,insufficient application effect and inability to realize automation in the monitoring of underground pipeline leakage and road voids by conventional detection methods,distributed optical fiber vibration sensing technology is proposed to monitor underground pipe networks and road diseases.A technology method for real-time intelligent monitoring of underground pipe network operation and maintenance status and changes of road subgrade and surrounding soil diseases is developed.Through the test verification,the signal and background noise automatically collected by the front-end optical fiber equipment were analyzed,and the monitoring efficiency and accuracy of the underground pipe network and road disease were improved.The results show that the overall recognition rate of this method for underground pipeline leakage and road diseases is over 90%,meeting the needs of underground pipeline networks and road maintenance and accident prevention.

关 键 词：分布式光纤振动传感 Φ-OTDR PGC 管道泄漏 道路空洞 病害监测 人工神经网络 

分 类 号：TU99[建筑科学—市政工程]