Optimal Placement Of Pressure Monitoring Sensors In Water Supply Networks Based On The Improved Fuzzy C-means Clustering

With the development of the country’s urbanization,the leakage monitoring and safe operation of the water supply pipe network have attracted more and more attention.Scientifically and reasonably arranging the pressure monitoring points of the water supply system is the key to real-time and effective monitoring of the hydraulic operation status of the pipe network.This thesis focuses on the optimal arrangement of pressure monitoring points in the water supply pipe network,and proposes an optimized arrangement method for pressure monitoring points in the water supply pipe network based on an improved fuzzy c-means(FCM)algorithm.And optimized the layout of the pressure monitoring points of the urban water supply pipe network.The main conclusions of the thesis are as follows:.(1)An optimized arrangement of pressure monitoring points in water supply network based on improved FCM algorithm is proposed.By solving the problem of optimal layout of pressure monitoring points in the pipeline network,the monitoring coverage rate of pressure monitoring points after the optimization of the improved FCM algorithm reaches 97.06%.It proves the applicability and rationality of the improved FCM clustering algorithm in the field of optimal placement of pressure monitoring points.(2)The difference between the improved FCM clustering algorithm and the traditional FCM clustering algorithm in the field of optimal layout of pressure monitoring points in the pipe network is compared.Numerical experiment results show that the pressure monitoring point monitoring coverage rate optimized by the improved FCM algorithm is 14.71% higher than that of the traditional FCM algorithm.It shows that the improved FCM clustering algorithm has good applicability in the field of optimal placement of pressure monitoring points,and can effectively avoid the shortcomings of traditional FCM clustering methods that are easy to fall into local optimal solutions.(3)The proposed optimized arrangement of pressure monitoring points is applied to two different actual water supply pipe networks.The results show that the monitoring coverage of the optimized arrangement of pressure monitoring points has reached more than 90%,which can meet the needs of monitoring the hydraulic operation of the pipeline network.(4)An optimized layout plan for newly added pressure monitoring points in the pipe network is proposed.Based on the actual operation of the water supply pipe network in the SPT area,9 pressure monitoring points were added to the original pressure monitoring points.The monitoring coverage rate of the monitoring points in the pipe network was increased from 76.69% to 96.24%.The ability of pressure monitoring points to monitor the hydraulic operation of the pipeline network has been greatly improved.The optimized layout algorithm of pressure monitoring points proposed in this thesis is simple,high in coverage and strong in applicability.It can meet the needs of monitoring the water supply network’s hydraulic operation status and provide a new method for the layout of pressure monitoring points in the actual urban water supply network.