Research Article
Online Monitoring Method of Municipal Water Supply and Drainage Pipeline Based on Machine Vision
@INPROCEEDINGS{10.1007/978-3-031-50571-3_6, author={Yanmei Sun and Ya Xu}, title={Online Monitoring Method of Municipal Water Supply and Drainage Pipeline Based on Machine Vision}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2024}, month={2}, keywords={Machine Vision Municipal Water Supply and Drainage Water Supply and Drainage Pipeline Pipeline Monitoring Online Monitoring Monitoring Methods}, doi={10.1007/978-3-031-50571-3_6} }- Yanmei Sun
Ya Xu
Year: 2024
Online Monitoring Method of Municipal Water Supply and Drainage Pipeline Based on Machine Vision
ICMTEL
Springer
DOI: 10.1007/978-3-031-50571-3_6
Abstract
Municipal water supply and drainage pipeline is a key component of underground pipeline, and the design of monitoring system is of great significance for its development. In this paper, the machine vision network is established, and the integrated monitoring system is introduced to design a monitoring method for municipal water supply and drainage pipelines. The communication sensor network is introduced to ensure the comprehensive monitoring of information. At the same time, the information management platform is introduced to combine digital monitoring and video monitoring, and alarm software is set to complete the accurate display of data. The method proposed in this paper can effectively combine big data content and urban management content, better extend the industrial value chain, and ensure the realization of urban intelligence. The experimental results show that the relative error of the online monitoring method of municipal water supply and drainage pipelines based on machine vision is always less than 0.02%, the monitoring process will not be affected by wind speed, and can well ensure the operation safety of municipal water supply and drainage pipelines.
