Leakage Reduction of Water Distribution Network System Based on the Observation Data of Water Leakage and Pressure of Actual Water Distribution Network System

Abstract

Abstract As the main way of urban water use, water supply system is an important urban infrastructure. It plays an important role in guaranteeing people’s life and economic construction. In recent years, it has an overall and guiding influence on the city. The monitoring and leak detection of water supply network system has become one of the most important problems in the water supply network system. The purpose of this paper is to explore the leakage reduction of the water distribution network system under the observation data of water leakage and pressure based on the actual water distribution network system. This paper analyzes the different pipe diameter of pressure change on the influence of water leakage, and the effect of different decompression interval to reduce water leakage results show that the leakage and pipeline pressure changes exponentially, it changes with reduced pressure pipe installation of pipe diameter and valve for high same diameter of pipeline, decompression and leakage effect is more effective, for the decompression range of basically the same pipeline, pipe diameter, the greater the effect is more obvious. In this paper, we study a kind of based on the pressure signal and traffic signal of the existing urban water supply pipe network leakage recognition and positioning method, and carries on the simulation of urban pipeline leakage simulation test platform through test analysis, probes into the key technology of this method and improvement, to improve the accuracy and positioning precision of the method to detect leaks. The research results show that the simplest method can be realized and the best effect can be achieved through the summary analysis of existing studies. When the leakage coefficient is set as 1, the water leakage is about 600%, and the pressure value of the leakage node and the pressure monitoring point for 24h is shown. It is obvious that when the lowest pressure is 10h, the pressure value is 300%. Through the analysis and improvement of this method, it can realize the timely identification and positioning of leakage events, reduce economic losses, and guarantee people’s normal life.