Water supply network pressure measuring point optimal arrangement method based on tree-shaped hierarchical clustering

• Main Authors: PAN CUNCHI, ZHOU HUIHUI, ZHENG YIMIN, XIANG LEIJUN
• Format: Patent
• Language: Chinese; English
• Published: 01.12.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; HANDLING RECORD CARRIERS; MEASURING; MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER,MECHANICAL EFFICIENCY, OR FLUID PRESSURE; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR; TESTING

The invention provides a water supply pipe network pressure measuring point optimal arrangement method based on tree-shaped hierarchical clustering, which comprises the steps of S1, constructing a water supply pipe network hydraulic model according to basic data of a water supply pipe network; s2, according to the hydraulic model, node water pressure data under pipe network leakage are obtained through simulation calculation, a water pressure drop sensitivity matrix is established, and normalization processing is conducted on the sensitivity matrix; s3, calculating water pressure drop correlation among the nodes according to the water pressure drop sensitivity normalization matrix, and establishing a node water pressure drop Spearman grade correlation coefficient matrix; s4, performing tree-shaped hierarchical clustering according to the correlation of each node, and dividing the nodes into a plurality of clustering groups; and S5, calculating Minkowski distances between nodes in eachclustering group accordin