中图分类号： TP399 文献标识码： A DOI： 10.19358/j.issn.2096-5133.2021.02.009 引用格式： 刘忠辉，蔡高琰，梁炳基，等. 基于电力数据分析的污染物排放监测方法研究[J].信息技术与网络安全，2021，40(2)：52-55，73.
Research on pollutant emission monitoring method based on power data analysis
Liu Zhonghui1，Cai Gaoyan2，Liang Bingji2，Luo Dehan1，He Jiafeng1
(1.School of Information Engineering，Guangdong University of Technology，Guangzhou 510006，China； 2.Hodi Technology Co.，Ltd.，Foshan 528200，China)
Abstract： In the current rapid development process, the modernization of society has brought a certain degree of damage to the environment. In order to achieve sustainable social development, it is necessary to carry out good monitoring of the pollutants brought by various production and living. Therefore, this paper mainly provides a scientific monitoring method for pollutant discharge process of pollution producing enterprises, processes and analyzes the data collected by intelligent electricity meter, and constructs BP neural network model to identify the equipment, so as to judge the start-up and stop status of the equipment. It has formed a 24-hour continuous intelligent monitoring, and then carries on the reasonable monitoring to the pollutant discharge supervision of the enterprise, realizes the monitoring of the pollution emission in the enterprise production, and improves the pollutant treatment effect, which has good practical application value.
Key words : data analysis；smart meter；machine learning；environmental monitoring