Research on Hidden Leakage Detection of Campus Water Supply Pipe Network Based on Time Series Model ARIMA
In order to discover the hidden leakage of the campus water supply pipe network in time,reduce loss of water resources and the water supply pipe network maintenance cost,according to the water consumption law and characteristics of the campus,the water consumption prediction model based on time series model ARIMA is established on the basis of obtaining the water meter data of each region of the campus.By Analyzing the difference between the predicted water consumption and the actual water consumption,the abnormal leakage of the water supply pipe network in the corresponding area of the campus is identified,and the hidden leakage detection model of the campus water supply pipe network is established.The results show that the identification accuracy of the model based on time series model ARIMA is 80％,the practical application effect is good,then it can be used as forewarning method for the detection of hidden leakage in campus water supply pipe network.Because this method is based on water meter data,it can save time,labor and money,and can be applied to other places.
time series modelhidden leakage detectionwater quantity forecast
万方数据
维普
