Aiming at the hierarchical relationship of water meters in a certain campus and the reading data of water meters in four quarters

this paper has completed the following aspects:establishing a relationship model between water meter data and conducting error analysis. The quantitative calculation formulas of leakage and leakage rate are defined

and then the leakage and leakage rate of each pipe in the campus water supply network are statistically analyzed per hour

daily

monthly and quarterly. Two methods for determining the location of leakage are given: the location of leakage is located by calculating the leakage amount and rate of each section of the pipeline; the expert database of “leakage” diagnosis is established

and the location of leakage is determined through big data analysis. And the leak location determination model based on cluster analysis method is used to locate the leak. Then

an improved model of cluster analysis based on time series analysis method is proposed. The calculation model of pipeline maintenance cost is given.