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

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.