Collaborative Inspection for the Sewer Pipe Network Using Pipe Capsules

被引:0
|
作者
Li Q. [1 ,2 ,3 ,4 ]
Gu Y. [1 ,2 ,3 ,4 ]
Tu W. [1 ,2 ,3 ,4 ]
Zhu J. [4 ,5 ]
Zhao T. [1 ,2 ,3 ,4 ]
Zhu S. [4 ,5 ]
机构
[1] Department of Urban Informatics, School of Architecture and Urban Planning, Shenzhen University, Shenzhen
[2] Guangdong Key Laboratory of Urban Informatics, Shenzhen
[3] Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), Shenzhen
[4] MNR Key Laboratory for Geo⁃Environmental Monitoring of Great Bay Area, Shenzhen
[5] College of Civil and Transportation Engineering, Shenzhen University, Shenzhen
基金
中国国家自然科学基金;
关键词
Collaborative inspection; Multi⁃objective optimization; Pipe capsule; Sewer pipe network inspection;
D O I
10.13203/j.whugis20200509
中图分类号
学科分类号
摘要
Objectives: The sewer pipeline network is an essential urban infrastructure. It is easy to be with faults because of the complicated circumstance under the ground, as well as undertaking the transportation and circulation of water. To avoid serious accidents caused by the faults, periodic and systematical inspection devices and methods are necessary. While current methods exist a variety of limitations, especially for large⁃scale and hard⁃inspected urban sewer pipe networks. Thus, we proposed a novel collaborative inspection method with high efficiency and availability, and low cost for urban sewer pipe networks. Methods: Firstly,we invent a novel device named pipe capsule equipped with video cameras,lights,and a data storage facility. It will be dropped into pipes, move along with water flow, and record the videos of the inner walls until salvaged by the staff from the downstream. Such that, the video is captured to inspect the underground pipe. Multiple capsules are cooperated to complete the inspection task. A collaborative inspection method is designed through well design practice plan by maximizing the inspection range and degree, as well as minimizing the traveling length and time of the workers. Simulated annealing with a simple neighborhood search strategy is used to find the best practice plan. Results: Taking the sewer pipe network at Shenzhen University, China an example, an experiment was conducted to verify the performance of the proposed approach. The results demonstrate that the collaborative inspection method achieves the same inspection with a shorter working time. Conclusion: This study presented a collaborative inspection approach to detect the large⁃scale and complicated urban sewer networks with machine vision. It will benefit the inspection and operation of the urban underground pipe network. © 2021, Editorial Board of Geomatics and Information Science of Wuhan University. All right reserved.
引用
收藏
页码:1123 / 1130
页数:7
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