Article Details

Abstract

In response to the development requirements for building a smart water system in smart city water environment governance, the water management application platform is studied, and a design method for a smart city water control system is proposed. This method addresses the comprehensive management needs of urban water supply, drainage, and water resources, and builds an integrated intelligent water management architecture that combines perception, transmission, analysis, and control. It deploys various types of sensing devices at water sources, pipe networks, pump stations, and end-user water consumption points to collect data on water quantity, water pressure, water quality, and equipment operating status in real time. The data is then transmitted to a unified water management platform via the Internet of Things and communication networks. Based on Big Data analysis and intelligent algorithms, the method conducts a comprehensive evaluation, anomaly identification, and predictive analysis of the operating status of the water system, and generates optimized scheduling and control strategies. Finally, through automated control units, water facilities are precisely regulated, realizing a smart water control system with dynamic feedback, efficient operation, intelligent decision-making, and smart governance.

Keywords

smart city; water environment governance; city water management

References

1. [1] Zong Fuzhe, Li Tong, Cao Jing, etc Typical patterns and operational strategies of pollutants in the inflow of urban sewage treatment plants [J]. Water Supply and Drainage, 2022, 58 (5): 31-37
2. [2] Yu Lixin, Wang Huanhuan, Lin Xiang, etc Dynamic delineation method for drainage zoning based on high-precision point cloud terrain data in cities [J]. Water Supply and Drainage, 2022, 58 (8): 136-142
3. [3] Zhao Zhendong, Liu Jian, Cui Huafeng, etc Research on Monitoring, Analysis and Control Strategies of Pollutants Entering Rivers during Flood Season from the Perspective of Integrated Operation of Factory and Network [J]. Water Supply and Drainage, 2023, 59 (8): 44-51
4. [4] He Bingwei Research on Innovative Design of Traditional Architectural Decoration Symbols in Shanxi Province Based on the Concept of Smart Blocks [C]//Chengdu: Sichuan Normal University Electronic Publishing House Co., Ltd., 2022
5. [5] Wang Siru, Yang Song, Liu Xin, etc Research on the Top level Design of Smart Water Management System in Xiong'an New Area [J]. China Water Resources, 2025 (13): 66-72
6. [6] Han Chunrong, Yang Ziqiang, Guo Junwen, etc Intelligent prediction of blower bearing temperature based on knowledge graph [J]. Computer System Application, 2024, 33 (2): 105-114
7. [7] He Zheng, Li Jie, Zhao Nan, etc Identification of sludge swelling in urban sewage treatment based on adaptive width learning algorithm [J]. Control Engineering, 2024, 31 (10): 1856-1861
8. [8] Shu Dewei, Chen Changli, Xu Zhiyong, etc Design and Implementation of a Joint Management Platform for Urban Water Management [J]. Water Conservancy Informatization, 2023 (3): 77-81, 86
9. [9] Xiong Dahong, Li Shifa, Liang Yongkang Research on River and Lake Information Management System Based on GIS and Internet of Things [J]. Internet of Things Technology, 2022, 12 (11): 121-123
10. [10] Wang Cong, Zhang Li, Liu Lifang, etc Design and Operation of Japanese Wastewater Treatment Plants and Analysis of Multi factor Effects [J]. Water Supply and Drainage, 2022, 58 (1): 19-32

About the authors

Su Wei (1988-), male, Han ethnicity, from Beihai, Guangxi, engineer, bachelor's degree, research interests include urban water affairs management.