一种基于高斯混合模型的高校中央空调计量方法

随着中央空调在高校中的大规模使用,对中央空调进行准确计量和合理计费已成为高校管理人员和学生日益关注的问题。为了解决空调使用中管理方与用户方的利益矛盾,文中提出一种基于高斯混合模型的高校学生宿舍中央空调计量方法。该方法依据高校学生宿舍中央空调的负荷特征,使用高斯混合模型建模分析空调负荷的概率统计特性,对中央空调总机用电量和末端风机盘管用电量进行计量,并根据空调负荷的概率统计特性,采用时间差分法进行分摊计费。文中方法在实现准确计量和计费的同时,还结合了智能用电管理系统,使用电过程更加透明化,具有一定的节能效用。

A Central Air Conditioning Measurement Method Based on Gaussian Mixture Model

With the large scale use of central air conditioners in colleges, accurate measurement and reasonable billing of central air conditioners has become an increasingly concerned issue for administrators and students. In order to solve the conflicts of interests between managers and users, a college dormitory’s central air conditioning measurement method based on Gaussian mixture model is proposed in this study. The method is based on the load characteristics of central air conditioning in college student dormitory, and uses Gaussian mixture model to analyze the probability and statistical characteristics of air conditioning load. By measuring the electricity consumption of central air conditioning and terminal fans, the calculus of time differences method based on its statistical characteristic is adopted to achieve split charging. The proposed method not only realize accurate metering and charge, but also combines the intelligent power management system to make the electricity process more transparent and has certain energy-saving effects.