Geographic information data aided water supply planning
Geographic Information Data (DEM) is the abbreviation of Digital Elevation Model (DEM), which is the Z basic data in geographic information data and reflects topographic relief. In the process of transporting water from the reservoir to the waterworks and then to the Z end user, pipelines need to be laid to transport water. In this process, the influence of topography and geomorphology on flow should be considered first, and the conversion between hydrodynamic force and potential energy should be simulated and analyzed. For the design of water supply up the mountain, both the pressurization in the process of water supply up the mountain and the decompression in the direction of water delivery down the mountain should be considered. At the same time, according to different ground elevations and pipeline laying requirements, calculate the buried depth of the pipeline for auxiliary construction; The preliminary design of water supply project is carried out through DEM data, which improves the intelligent level of water supply project planning and design.
Secondly, use GIS based water supply user data to provide benefits of project planning. Users of water supply may be factories or residents. From the basic geographic information data, we can extract the relevant information of users. On the basis of these data, supplemented by real estate survey data, it is basically possible to determine the water supply users in each region, roughly determine the water supply volume according to the number of users, and simulate and calculate the thickness and material of the transmission pipeline according to the water supply volume. At the same time, the setting of secondary pressurization equipment also needs to manage the floor height and user height according to the geographic information data.
Realization of Water Supply Assets Management by GIS Database
The traditional water supply network data is mainly managed in the form of drawings and documents. For this reason, the water supply company has specially built archives, which not only occupies a lot of space, but also cannot guarantee the safety of data, and it is more difficult to analyze and use the existing data. Using GIS spatial database technology, the data of water supply sources, source pipes, water plants, water meters, valves, water supply pipelines, fire hydrants, booster pumps and other related assets are processed into data with spatial information and stored in GIS database to realize the digital management of water supply pipe network assets and manage and sort out the existing water supply pipe network assets, Provide data support for deep mining of water supply data. At the same time, all kinds of data in the process of pipe network planning, construction, completion, maintenance and scrapping are stored and managed in a unified way to realize the full life cycle management of water supply pipe network assets.

Precise seepage control by GIS zoning
According to the water supply network data, water user data and the distribution data of various instruments under the geographic information data, the water supply users are divided into small metering areas, realizing the visual management of the next map in GIS technology. By combining the methods of small flow rate at night and bad total score table, the location of leakage points is determined to achieve regional positioning, which is convenient to find leakage points in time, reduce the leakage rate of water supply, and achieve refined leakage control.
GIS Spatial Analysis for Intelligent Decision Making of Water Supply
Compared with other information management systems, the prominent feature of GIS system Z is its powerful spatial analysis ability. Based on the topological structure of the water supply network and the position distribution data of the valves, the valves that need to be closed can be found in time by analyzing the sudden pipe burst. When the on-site valve cannot be closed, we can also carry out valve closure analysis, continue to find the valve to be closed, and use a GIS map for visual display to improve the work efficiency of emergency personnel. At the same time, combined with the water supply user data, the impact of valve closure is analyzed, the affected users are analyzed through GIS topology calculation, the users who may stop water supply are searched and analyzed, and users are informed in time to avoid greater impact on users.