Abstract
It is necessary to monitor the pressure in the networks in real time, when we face the problem of pipe burst and leakage in urban water supply network. Therefore, it is particularly important to arrange pressure monitoring points in appropriate places in the pipeline networks. The pressure monitoring point layout is often based on similar degree of the node pressure data in the current stage. A method of optimal pressure monitoring point location in the urban water distribution networks was proposed in this paper. Since the above method did not consider spatial properties of network node. The original feature matrix data is constructed by acquiring the spatial attributes of the pressure monitoring nodes and calculating the non-spatial attributes of the nodes. The original feature matrix data will be normalized. Then the Optics clustering algorithm is used to cluster the normalized node feature matrix data to determine the location and number of pressure monitoring points in monitoring area of urban water distribution networks. Experimental results show that the method effectively ensures that the pressure monitoring points can grasp the pressure information of the whole water supply network more comprehensively and rationally, improves the economy of the pressure monitoring points layout, and provides good guidance for the actual layout of pressure monitoring points in municipal water distribution networks.
Highlights
The pressure in urban water distribution networks directly reflects the distribution of water pressure in urban water distribution networks, and reflects the possible problems of pipe burst and leakage, which is of great significance to control the leakage of pipeline network and can reduce unnecessary losses[1]
The experimental results show that compared with clustering analysis based on the similarity of node pressure changes, the method solves the problem that other methods do not consider the spatial attributes of node in the layout of pressure monitoring points in water distribution networks
In order to solve the problem of optimal layout of pressure monitoring points in water supply networks, this paper proposes an optimal layout method for pressure monitoring points of water supply networks
Summary
The pressure in urban water distribution networks directly reflects the distribution of water pressure in urban water distribution networks, and reflects the possible problems of pipe burst and leakage, which is of great significance to control the leakage of pipeline network and can reduce unnecessary losses[1]. Nodes scattered in different geographic locations of pipeline network may be classified into the same category, so the clustering results have little practical significance It does not show the similarity between adjacent geographic nodes in the pipeline network, and it is difficult to effectively reflect the regional distribution of pressure in the pipeline network. The experimental results show that compared with clustering analysis based on the similarity of node pressure changes, the method solves the problem that other methods do not consider the spatial attributes of node in the layout of pressure monitoring points in water distribution networks
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