Smart water management uses online monitoring devices such as data acquisition devices, wireless networks, and water quality and pressure meters to perceive the operation of urban water supply and drainage systems in real time. By selecting visual methods, it organically integrates water affairs processing with water supply and drainage equipment, forming the "Urban Water Internet of Things." It can promptly analyze and process massive water information and provide corresponding results to support decision-making and proposals.

    Handling the entire production, processing, and service processes of the water system with increasingly precise and dynamic methods, and eventually reaching a state of "intelligence." Advantages of smart water management: The application of smart water management has improved and advanced the water management system. Primarily, smart water management ensures that water quality is within the safe 24-hour dynamic monitoring range, and network scheduling can be allocated as needed. Data analysis and monitoring enable high dispatch power. This can promote the digitalization, intelligence, and standardization of water group operations, maximizing resource utilization.

    Policy for building smart water services: Collaborative processing, focusing on system and task coordination, establishing integrated operation channels for urban water supply, drainage, flood control, and water environment affairs based on the same plan, completing collaborative handling of various water affairs and user services.

    Efficient resource utilization, leveraging IoT technology to monitor urban water sources and supply networks in real time; Using big data skills, we calculate and analyze the distribution of urban water supply, fully utilizing the information and data available to allocate water resources rationally.
Intelligent transactions, leveraging new sensor technology to proactively collect real-time basic urban water data in real time; Using big data skills to uncover the information contained in massive datasets, it is used to predict trends in water affairs and complete intelligent decision-making plans.