摘要
为解决当前建筑工程建设中电气设备能源消耗量过大、传统能耗监控方法监控结果精度偏低不利于建筑工程能源可持续发展的问题,在传统建筑电气设备能耗监控方法的基础上引入数据挖掘技术,开展了能耗远程监控方法的探究。通过建立电气设备能耗异常监控模型,获取建筑电气设备能耗时间比;结合离群点检测原理,分析设备能耗数据离群点;基于数据挖掘技术设置能耗远程监控阈值,实时监控设备能耗异常数据的变化情况。通过实验分析可知,新的设备能耗远程监控方法能耗监控结果的准确率与召回率分别在95.02%与93.16%以上,具有较高的可行性。
In order to solve the problem of excessive energy consumption of electrical equipment and low accuracy of monitoring results of traditional energy consumption monitoring methods,which is not conducive to the sustainable development of energy in construction engineering.Based on the traditional energy consumption monitoring methods of building electrical equipment,data mining technology is introduced to explore the remote monitoring methods of energy consumption.The energy consumption time ratio of building electrical equipment is obtained by establishing the abnormal energy consumption monitoring model of electrical equipment.Combined with the outlier detection principle,the outliers of equipment energy consumption data are analyzed.Based on data mining technology,the remote monitoring threshold of energy consumption is set to monitor the changes of abnormal data of equipment energy consumption in real time.The experimental analysis shows that the accuracy and recall of the new remote monitoring method of equipment energy consumption are more than 95.02%and 93.16%respectively,which is highly feasible.
作者
黄宇
HUANG Yu(Guangxi Construction Vocational Technology,Nanning 530007,China)
出处
《通信电源技术》
2022年第6期48-51,共4页
Telecom Power Technology
关键词
数据挖掘
建筑电气设备
能耗
远程监控
data mining
architecture electrical equipment
energy consumption
long-range monitor
