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- W4379034732 abstract "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." @default.
- W4379034732 created "2023-06-02" @default.
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- W4379034732 date "2022-12-09" @default.
- W4379034732 modified "2023-09-25" @default.
- W4379034732 title "Design of Water Pollution Source Traceability System for Surface Water Pipe Network" @default.
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- W4379034732 doi "https://doi.org/10.1109/acait56212.2022.10137813" @default.
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