Design of Water Pollution Source Traceability System for Surface Water Pipe Network

This paper aims to study the key technologies for traceability monitoring of pollution sources in urban underground drainage networks, so as to construct a groundwater pollution source traceability system integrating Internet of things and artificial intelligence technologies. The system is then imp...

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Bibliographic Details
Published in2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT) pp. 1 - 5
Main Authors Chen, Xiaofeng, You, Yusai, Sun, Yue, Wang, Yangchuan, Jin, Zhanyu, Zhang, Wei
Format Conference Proceeding
LanguageEnglish
Published IEEE 09.12.2022
Subjects
early warning of water pollution
Fault location
grid
monitoring of pollution sources
Pipelines
Real-time systems
source traceability
Surface contamination
Surface discharges
urban underground drainage networks
Water monitoring
Water pollution
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DOI10.1109/ACAIT56212.2022.10137813

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Summary:This paper aims to study the key technologies for traceability monitoring of pollution sources in urban underground drainage networks, so as to construct a groundwater pollution source traceability system integrating Internet of things and artificial intelligence technologies. The system is then implemented and deployed in Huangjiang Town, Dongguan, Guangdong Province. The effect of practical application shows that the proposed system realizes real-time monitoring of the grid of the pipe network, improves the efficiency of rapid ranking and monitoring, and can quickly enhance the dynamic detection and early warning capability of water pollution in the water pipe network.
DOI:10.1109/ACAIT56212.2022.10137813