基于大数据背景下的校园供水量统计模型

Statistical Model of Campus Water Supply Based on Big Data

校园供水系统是校园公用设施的重要组成部分,它直接影响着全体师生的日常工作、学习和生活。随着科技的快速发展,校园内智能水表得到普遍使用,获取了大量实时供水系统运行数据。本文基于2020年全国大学生数学建模竞赛试题E题数据,借助数学建模和数据挖掘技术,通过对各个水表数据变化规律和校园内不同功能区用水特征的分析,建立了水表数据间的关系模型并分析了模型误差,分析了供水管网的漏损情况,确定了漏损位置,并提出了解决管网漏损问题的最优方案。该方案解决了供水系统中存在的问题,提高了校园服务和管理水平。

Campus water supply system is an important part of campus public facilities,which directly affects the daily work,study and life of all teachers and students.With the rapid development of science and technology,intelligent water meters on campus are widely used,and a large number of real-time water supply system operation data are obtained.In this paper,based on the data of the E question in the 2020 National Mathematical Modeling Competition for College Students,with the help of mathematical modeling and data mining technology,through the analysis of the variation law of each water meter data and the characteristics of water consumption in different functional areas on campus,the relationship model between water meter data is established,the model error is analyzed,the leakage situation of water supply network is analyzed,the leakage location is determined,and the optimal scheme to solve the leakage problem of water supply network is put forward.This scheme solves the problems existing in the water supply system and improves the level of campus service and management.