工业企业环境污染监测系统中数据的自动采集与处理

2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) Pub Date : 2018-10-01 DOI:10.1109/FAREASTCON.2018.8602550

A. Belov, Y. Kropotov

{"title":"工业企业环境污染监测系统中数据的自动采集与处理","authors":"A. Belov, Y. Kropotov","doi":"10.1109/FAREASTCON.2018.8602550","DOIUrl":null,"url":null,"abstract":"The questions of application wavelet-transformation for the analysis and processing of time series concentrations of pollutants is represented. Scientific novelty of the work is to develop a mathematical model of time series, constructed on the basis of the wavelet transform. On the basis of the model developed algorithms for analysis, processing and presentation of experimental time-series concentrations of pollutants. Process of transformation time numbers on the basis of work with factors of wavelet-decomposition and multiscale representation of analyzed time numbers is in detail described. The developed algorithms are integrated into the automated monitoring system by industrial emissions.","PeriodicalId":177690,"journal":{"name":"2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Automated Collection and Processing Data in the System of Monitoring Environmental Pollution by Industrial Enterprises\",\"authors\":\"A. Belov, Y. Kropotov\",\"doi\":\"10.1109/FAREASTCON.2018.8602550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The questions of application wavelet-transformation for the analysis and processing of time series concentrations of pollutants is represented. Scientific novelty of the work is to develop a mathematical model of time series, constructed on the basis of the wavelet transform. On the basis of the model developed algorithms for analysis, processing and presentation of experimental time-series concentrations of pollutants. Process of transformation time numbers on the basis of work with factors of wavelet-decomposition and multiscale representation of analyzed time numbers is in detail described. The developed algorithms are integrated into the automated monitoring system by industrial emissions.\",\"PeriodicalId\":177690,\"journal\":{\"name\":\"2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FAREASTCON.2018.8602550\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FAREASTCON.2018.8602550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

介绍了小波变换在污染物浓度时间序列分析与处理中的应用问题。本工作的科学新颖之处在于在小波变换的基础上建立了时间序列的数学模型。在该模型的基础上，开发了用于分析、处理和表示实验时间序列污染物浓度的算法。详细描述了在小波分解的基础上对时间数进行变换的过程，并对所分析的时间数进行多尺度表示。所开发的算法被集成到工业排放的自动监测系统中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Automated Collection and Processing Data in the System of Monitoring Environmental Pollution by Industrial Enterprises

The questions of application wavelet-transformation for the analysis and processing of time series concentrations of pollutants is represented. Scientific novelty of the work is to develop a mathematical model of time series, constructed on the basis of the wavelet transform. On the basis of the model developed algorithms for analysis, processing and presentation of experimental time-series concentrations of pollutants. Process of transformation time numbers on the basis of work with factors of wavelet-decomposition and multiscale representation of analyzed time numbers is in detail described. The developed algorithms are integrated into the automated monitoring system by industrial emissions.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)

自引率

0.00%

发文量