Analysis of the Main Causes of Water Leakage in Universities Based on Big Data Analysis

Abstract

An important step in controlling the leakage of reclaimed water supply systems is finding the main cause of reclaimed water leakage through data analysis in the water supply system. This can not only save water resources, but also provide a theoretical basis for the treatment of water leakage. Three parts of the work have been done in this paper. Firstly, the reclaimed water supply data at a university was collected and averaged by hours. Then, principal component analysis was used to reduce the dimension of the 24-hour reclaimed water supply data. Finally, the dimension-reduced datasets were clustered, which classified them into four categories. By analyzing the graphs of the four types of data, it was found that the period when water supply differences were relatively large was mainly concentrated at 0–5 o'clock in the evening. The main cause of water leakage was found after an investigation with logistics managers, which was the breakdown of the toilet in the student dormitory at night. This study revealed the main cause of reclaimed water leakage in a university. With the joint efforts of reclaimed water management personnel and logistics managers, the leakage of the reclaimed water pipe network has been greatly improved. This study has a certain reference significance for revealing the actual situation of water supply by data analysis, looking for reclaimed water reuse, and finding the cause of water leakage in urban water supply pipe network systems.