The urban water supply network has a complex structure, a large scale, and strong randomness in water use. To achieve scientific management of the water supply network system, it is necessary to establish a hydraulic model.

Based on the data from existing urban pipeline monitoring points and the topological relationship of the entire pipeline network, the attribute data of water supply facilities is input into the pipeline network adjustment calculation. A hydraulic model system covering basic data management, model establishment, operation simulation, optimization design and other functions of the water system is constructed to simulate the pressure and flow velocity of the entire urban pipeline network. Different colors are used to represent different pressure and flow velocity ranges, providing a more intuitive understanding of the pressure and flow velocity distribution in the entire urban area. And the system supports AutoCAD, with strong optimization design functions, rich modeling tools, and convenient and fast model building.

The water volume prediction based on hydraulic models is an estimation and speculation of the water volume of the water supply unit during a specific period in the future, based on historical data of the water supply unit, combined with weather and holidays, using data analysis, modeling and other methods.

As an extension of traditional smart water management, water volume prediction is based on existing data collection methods such as pipeline monitoring and water plant data monitoring. It fully utilizes real-time and historical data of different properties, data sources, and data types such as meteorological prediction data, holiday and population flow data, numerical model output data, and basic geographic information data. With the help of modern information and forecasting technologies such as numerical elevation models, information fusion, data assimilation, and machine learning methods, it analyzes and predicts the water supply volume of water supply units in a certain period in the future.

By using water quantity prediction and hydraulic models, the actual operation status of the water supply network can be grasped, and the water supply demand can be dynamically managed. This tool will become an auxiliary decision-making tool for realizing the scientific distribution system and enriching the decision-making basis library of water supply units.