中圖分類號(hào)： TP399 文獻(xiàn)標(biāo)識(shí)碼： A DOI： 10.19358/j.issn.2096-5133.2021.02.009 引用格式： 劉忠輝,，蔡高琰，梁炳基,，等. 基于電力數(shù)據(jù)分析的污染物排放監(jiān)測(cè)方法研究[J].信息技術(shù)與網(wǎng)絡(luò)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.,，F(xiàn)oshan 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
