基于用电数据挖掘的企业环保异常识别  

Identification of Environmental Anomalies in Enterprises Based on Electricity Consumption Data Mining

作　　者：陈锦涛 张逸[1] 张良羽 宁志毫 CHEN Jintao;ZHANG Yi;ZHANG Liangyu;NING Zhihao(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China;Electric Power Science Research Institute,State Grid Hunan Electric Power Co.,Ltd.,Changsha 410031,China)

机构地区：[1]福州大学电气工程与自动化学院,福州市350108 [2]国网湖南省电力有限公司电力科学研究院,长沙市410031

出　　处：《电力建设》2025年第2期74-87,共14页Electric Power Construction

基　　金：国家自然科学基金项目(51777035)。

摘　　要：目前污染源企业点多面广,各个企业的生产与治污流程不同,缺乏有效统一的监管指标和预警手段,导致监管困难、实时性差、工作量大等问题,提出一种基于用电数据挖掘的企业环保异常识别方法。首先,采用K-means聚类识别设备运行状态、基于动态时间规整(dynamic time warping, DTW)距离构建企业生产线模型;其次,对历史数据统计进行连续型与间歇型生产线划分、利用傅里叶变换识别生产线的生产周期,建立适合企业的环保工况模型;再次,提出分别针对连续型与间歇型生产线的环保工况识别方法;最后,利用实际污染源企业监测数据验证所提方法的有效性与实用性。目前基于所提方法研发的电力智慧环保平台已在某省得到实际应用,取得了良好成效,为环保部门掌握企业环保情况提供有效的技术手段与数据支撑。Pollution source enterprises are numerous and widespread.The production and pollution treatment processes of each enterprise vary,a lack of effective and uniform regulatory indicators and early warning systems are concerning.This creates problems,such as difficult supervision,poor real-time performance,and a large workload.This study proposes a method for identifying the environmental anomalies of enterprises based on electricity data mining.First,K-means clustering is used to identify the operating status of the equipment,and a model of the enterprise production line is constructed based on dynamic time-warping distance.Next,continuous and intermittent production lines are classified based on historical data statistics.Furthermore,the Fourier transform is used to identify the production cycle of the production line to establish a model of the environmental conditions suitable for the enterprise.Subsequently,the environmental condition identification method is proposed to identify the environmental conditions for continuous and intermittent production lines.Finally,the proposed method is validated using the monitoring data of actual pollution source enterprises.The electric power intelligent environmental protection platform developed based on the proposed method has been implemented in certain provinces,achieving suitable results.This platform enables the environmental protection department to grasp the situation of enterprise environmental protection,providing both technical means and data support.

关 键 词：用电数据 企业环保 连续型 间歇型 K-MEANS聚类 动态时间规整(DTW) 傅里叶变换 

分 类 号：TM714[电气工程—电力系统及自动化] X322[环境科学与工程—环境工程]