摘要
城市地下管廊、输水管线沿途地质情况复杂,而传统人工巡检模式对地下供水管网的巡检效率较低,无法实时排查管廊变形、管道泄露等异常事件。通过分析分布式光纤传感技术与视频AI(Artificial Intelligence)技术在杭州某地下管网无人巡检实例,阐述该技术的场景架构及建设成效,对管网巡检的智慧化发展具有一定参考意义。
The geological conditions along urban underground pipe galleries and water pipelines are complex,and the traditional manual inspection mode has low efficiency in inspecting underground water supply network,making it impossible to detect abnormal events,such as pipe gallery deformation and pipeline leakage,in real time.In this paper,by analyzing the application of distributed fiber optic sensing and video AI(artificial intelligence)in the unmanned inspection of an underground pipeline network of Hangzhou Water Group,the scenario architecture and construction effectiveness of this technology were elaborated,which has certain reference significance for the intelligent development of water inspection mode.
作者
王蕾
俞坤
陈辉
毛哲凯
张玲琴
徐云涛
WANG Lei;YU Kun;CHEN Hui;MAO Zhekai;ZHANG Lingqin;XU Yuntao(Hangzhou Water Digital Intelligence Technology Co.,Ltd.,Hangzhou 310013,China;Hangzhou Water Group Co.,Ltd.,Hangzhou 310013,China)
出处
《环境工程》
CAS
CSCD
北大核心
2023年第11期59-63,共5页
Environmental Engineering
基金
国家自然科学基金联合基金重点支持项目(U22A2082)。
关键词
智慧水务
光纤传感
视频AI分析
无人巡检
smart water
fiber optic sensing
video AI analysis
unmanned inspection
