Intensification of data processing and obtaining new information on multidimensional signals of the "electronic nose"
Автор: Kopaev A.Y., Murakhovsky I.A., Kuchmenko T.A.
Журнал: Вестник Воронежского государственного университета инженерных технологий @vestnik-vsuet
Рубрика: Химическая технология
Статья в выпуске: 1 (83), 2020 года.
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This study describes the ways to optimize the stage of processing multidimensional data of simulation systems with an integrated analytical signal such as an electronic nose. Programming models are presented in Exel tables for calculating additional parameters of the qualitative composition of a mixture of gases and vapors. Programming spreadsheets greatly simplifies the processing of the initial data of a set of sensors and allows you to quickly get new parameters to characterize the composition of the smell of samples. The formulas for calculating 4 additional characteristics are presented: identification parameters of sorption, kinetic parameter, sorption parameter for 3 sensors, mass fraction of components, mainly sorbed on each sensor in the array of electronic nose, and Pearson's similarity parameter for sets of these characteristics in order to compare the multi-component composition of the odor analyzed samples. The example of analyzing the smell of human skin shows the possibility of developing software for personal devices...
Multidimensional data, analytical systems, electronic nose, algorithms, programming
Короткий адрес: https://sciup.org/140248309
IDR: 140248309 | DOI: 10.20914/2310-1202-2020-1-247-251