大数据背景下的高校水电节能分析  

Energy Saving Analysis of University Hydropower Under the Background of Big Data

作　　者：胡怀雯[1] HU Huaiwen(Hunan Mechanical Electrical Polytechnic,Changsha Hunan 410151,China)

机构地区：[1]湖南机电职业技术学院,湖南长沙410151

出　　处：《信息与电脑》2022年第21期245-247,共3页Information & Computer

摘　　要：针对高校水电资源消耗量日益增大,水电费增加原因不明,且无法采取有效措施遏制的问题,提出一种基于大数据的方法,对高校水电终端和管网监测设备反馈的数据进行分析,同时根据不同情况的资源浪费提供了相应的解决方案。结果表明:通过减少管道漏水,循环利用水资源可以达到节约水资源的目的;通过减少空调、实训室设备、信息化教学设备等用电终端的浪费,可达到节约电能的目的。In view of the increasing consumption of hydropower resources in colleges and universities,the reasons for the increase of hydropower costs are unknown,and effective measures cannot be taken to curb the problem.Therefore,a method based on big data is used to analyze the data fed back by university hydropower terminals and pipe network monitoring equipment,and corresponding solutions are provided according to different situations of resource waste.The results show that water resources can be saved by reducing pipeline leakage and recycling water resources;By reducing the waste of electric terminals such as air conditioners,training room equipment,and information teaching equipment,the purpose of saving electric energy is achieved.

关 键 词：节能减排 大数据 深度学习 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]