Research On Simulation And Application About Optimization Of Monitoring Point And Location Of Leakage In Wanter Supply Network

With the development of urbanization in China,water supply pipeline network as one of the city’s lifeline projects is facing the unprecedented pressure for water demand increasing,coupled with the shortage of available fresh water resources,the serious pollution of water environment and the problems of running,emitting,dropping and leaking in the pipeline network for a long time,ensuring the efficient supply of water resources plays an important role in the sustainable development of national economy.To this end,the local water supply departments are building smart water projects for a fine management of water supply,reducing the leakage rate and improving the efficiency of water supply.Based on the construction project of a smart water platform in a city of Inner Mongolia,this paper carried out corresponding simulation and application research on the problems such as optimization of monitoring points,location of leakage and calibration of the water supply pipeline network model,which in order to provide reference for the related engineering construction.1.For the layout of pressure monitoring points,this paper putted forward a kind of method that based on points pressure change coefficient matrix under the different water demand periods and Fuzzy c-means clustering,which can ensure that the pressure change indexes of all points under different water demand conditions can participate in the cluster analysis directly and improve the accuracy of clustering.Simulation results of two cases showed that this method can achieve good results in branched and annular pipeline network,and the monitoring points can be distributed in the network uniformly to obtain the operating pressure.2.For the location of burst pipe leakage points,a leakage location model was established based on the pressure data of the pressure monitoring points,and a Multi-Population Genetic Algorithm that with stronger convergence and robustness was applied to the optimize compute the model.The simulation results showed that this method has a good effect to locate the leakage points when one and two points are leaking in different locations under different water demand periods of annular and branched pipeline networks.The possible leakage points obtained by optimized calculation are mainly distributed on the simulated leakage points and their adjacent points,and the increase of the number of monitoring points and the increase of the water loss is beneficial to improve the accuracy of location.3.In the pipe network of the actual case project,the method of optimization was used to calibrate the friction coefficient C of pipes and the water demand of nodes of the model simultaneously,which improved the accuracy of the model further.Three pressure monitoring points installed in the pipeline network were used to locate the simulated leakage of single point and double points at different locations and one of the actual leakage accidents based on the monitoring information.The results showed that the positioning model has a good applicability and robustness,which can help engineering maintenance personnel to find the actual leakage points as soon as possible to repair and reduce the leakage water by searching along the upstream and downstream of the pipeline according to the location of possible leakage points obtained by optimized calculation.