{"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}
引用次数: 2
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.
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