Source Journal of CSCD
Source Journal for Chinese Scientific and Technical Papers
Core Journal of RCCSE
Included in JST China
Volume 41 Issue 11
Nov.  2023
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Article Contents
WANG Lei, YU Kun, CHEN Hui, MAO Zhekai, ZHANG Lingqin, XU Yuntao. APPLICATION OF UNMANNED INSPECTION IN WATER SUPPLY PIPELINE NETWORK BASED ON THE FUSION OF FIBER OPTIC SENSING AND VIDEO AI TECHNOLOGY[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(11): 59-63. doi: 10.13205/j.hjgc.202311010
Citation: WANG Lei, YU Kun, CHEN Hui, MAO Zhekai, ZHANG Lingqin, XU Yuntao. APPLICATION OF UNMANNED INSPECTION IN WATER SUPPLY PIPELINE NETWORK BASED ON THE FUSION OF FIBER OPTIC SENSING AND VIDEO AI TECHNOLOGY[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(11): 59-63. doi: 10.13205/j.hjgc.202311010

APPLICATION OF UNMANNED INSPECTION IN WATER SUPPLY PIPELINE NETWORK BASED ON THE FUSION OF FIBER OPTIC SENSING AND VIDEO AI TECHNOLOGY

doi: 10.13205/j.hjgc.202311010
  • Received Date: 2023-08-30
    Available Online: 2023-12-25
  • 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.
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