Intensification of data processing and obtaining new information on multidimensional signals of the "electronic nose"
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. The software includes the calculation of the characteristics of the proposed models and the visualization of their sets for easy perception by untrained users. The software allows you to quickly process data from the device, to present the possible causes of the deviation of the state from the average statistical norms. For a set of identification parameters of sorption, the boundaries of numerical values are defined, which characterize the normal functioning of the organism as a whole, individual organs and systems. When a calculated parameter enters these boundaries in the state diagram, it is colored green. The numerical limits of parameters and for anomalous states are determined. When the values of the calculated parameters fall into these intervals, on the state sphere, the zones of the corresponding parameters are colored yellow or red.So, untrained users easily perceive information without complex processing of multi-dimensional data.