Smart water is widely and deeply applied in the field of water supply, mainly in the following aspects:
1. Monitoring and early warning of water supply facilities
Real time monitoring: through the Internet of Things technology and intelligent sensors, the intelligent water service system can monitor the status, flow speed, water quality and other key indicators of the water supply pipeline in real time. These sensors are installed at the end of the pipe network or in the pipe well to automatically collect the pressure, flow and water level of the pipe network and transmit them to the data center through the communication network.
Early warning system: based on real-time monitoring data, the system can timely detect problems of water supply facilities, such as water leakage, blockage, abnormal water quality, etc., and send out early warning signals. This helps water supply enterprises to respond quickly and take measures to reduce losses.
2. Water supply demand prediction and optimal dispatching
Data analysis: The smart water system uses big data analysis technology to mine and analyze historical water supply data to predict future water supply demand. This forecasting ability helps water supply enterprises to reasonably arrange production plans and avoid oversupply or oversupply.
Optimal dispatching: according to the prediction results, the system can automatically adjust the operating parameters of water supply facilities, such as the speed of pumps, the opening of valves, etc., to achieve optimal dispatching of water supply. This will help improve water supply efficiency and reduce energy consumption and costs.
3. Water quality monitoring and management
Real time monitoring of water quality: the intelligent water system monitors water quality indicators in real time, such as PH value, turbidity, residual chlorine, etc., through water quality monitoring equipment installed in water sources, water plants and pipe networks. This helps to ensure that the quality of water supply meets national and local standards.
Water quality early warning and response: once abnormal water quality is found, the system can immediately send an early warning signal and automatically start the emergency response mechanism. At the same time, the system can also provide historical water quality data and trend analysis, providing scientific basis for water quality management.

4. Intelligent water supply equipment management
Equipment monitoring: the intelligent water service system can carry out remote monitoring and intelligent diagnosis for water supply equipment. Through the Internet of Things technology, the system can obtain the operating status and performance parameters of equipment in real time, find equipment faults in time and predict maintenance needs.
Intelligent maintenance: based on the equipment monitoring data, the system can automatically generate a maintenance plan and remind maintenance personnel to perform maintenance on time. This helps to extend the service life of the equipment and reduce maintenance costs.
5. Intelligent water supply service
Online service: The intelligent water service system can provide convenient services such as online payment, repair and consultation. Users can query water use information, pay water fees, submit repair applications, etc. through mobile APP or website, improving the efficiency of water supply services and user satisfaction.
Intelligent customer service: Through the intelligent customer service system, users can enjoy a more personalized and intelligent service experience. The system can automatically identify user problems and give corresponding answers or solutions, which improves customer service response speed and problem solving rate.
6. Water supply decision support
Data visualization: the intelligent water service system can visually display real-time monitoring data and analysis results in the form of charts, maps, etc. This will help water supply enterprises intuitively understand the operation status and problems of the water supply system, and provide strong support for decision-making.
Decision analysis: based on big data analysis and data mining technology, the system can conduct in-depth analysis on the historical data of the water supply system, find potential problems and improve space. At the same time, the system can also combine external data (such as meteorology, geology, etc.) for comprehensive analysis, providing scientific basis for water supply decision-making.
To sum up, the application of smart water in the field of water supply covers monitoring and early warning of water supply facilities, prediction and optimal scheduling of water supply demand, water quality monitoring and management, intelligent water supply equipment management, intelligent water supply service, and water supply decision support. These applications not only improve the operation efficiency and management level of the water supply system, but also provide users with more convenient and safe water supply services.