Research on the Current Status of Urban Drainage (Stormwater and Sewage) Pipeline Network and Intelligent Diagnostic System

As an important component of urban infrastructure, the urban drainage (rain and sewage) pipeline network directly affects the ecological environment and residents' quality of life of the city. This article systematically analyzes the current construction and management status of urban drainage networks, and points out the problems existing in traditional operation and maintenance models, such as low detection efficiency, lagging data processing, and insufficient intelligence level. Based on this, a digital diagnostic system framework has been proposed, aiming to achieve real-time monitoring, intelligent diagnosis, and precise maintenance of drainage networks through the Internet of Things, big data analysis, and artificial intelligence technology.

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Publication Details

Journal
International Journal of Education and Humanities
Published
2025-04-14
DOI
https://doi.org/10.54097/gzwaqs58
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on the Current Status of Urban Drainage (Stormwater and Sewage) Pipeline Network and Intelligent Diagnostic System

Yuefeng Gai, Longfei Wang, Wei Wei Zhang, Yang Li
International Journal of Education and Humanities
Advanced Computational Techniques and Applications
article

Research on the Current Status of Urban Drainage (Stormwater and Sewage) Pipeline Network and Intelligent Diagnostic System

Yuefeng Gai, Longfei Wang, Wei Wei Zhang, Yang Li
article en

Abstract

As an important component of urban infrastructure, the urban drainage (rain and sewage) pipeline network directly affects the ecological environment and residents' quality of life of the city. This article systematically analyzes the current construction and management status of urban drainage networks, and points out the problems existing in traditional operation and maintenance models, such as low detection efficiency, lagging data processing, and insufficient intelligence level. Based on this, a digital diagnostic system framework has been proposed, aiming to achieve real-time monitoring, intelligent diagnosis, and precise maintenance of drainage networks through the Internet of Things, big data analysis, and artificial intelligence technology.

International Journal of Education and HumanitiesVol. 19(1)
North China University of Science and Technology (CN)
Department of Education of Hebei Province
Openalex Percentile: Top 97%
Advanced Computational Techniques and Applications
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