Danila Kashirsky, Associate Professor at the Faculty of Radiophysics, is creating a program for remote diagnostics of gas mixtures that are emitted in the operation of cars and industrial plants and volcanic eruptions and other events. This program will help in real time to determine the composition, concentration, and temperature of exhaust gases and thereby predict and prevent technogenic and ecological disasters.
– Anthropogenic and natural objects have a spectral radiation that is characteristic of gases they emit. If you compare it using an etalon, you can understand whether the object functions in the normal mode and how safe it is, - explains Danila Kashirsky.
Today, there are devices that remotely determine the spectral characteristics of exhaust gases without direct sampling, and the program of TSU radiophysicists decodes the resulting spectrum in real time. It accurately determines the composition of the gas mixture, the concentration of components, and the temperature.
– Existing programs spend several hours processing data. We also created software by which we receive an instant answer, Danila Kashirsky emphasized.
The next step will be using neural network technologies for processing the spectral characteristics of gas media that have the ability to learn - this is one of the main advantages over traditional algorithms. As a result, the scientist will create an information and computer complex that solves various optical problems for gas-aerosol media that will allow predicting technogenic and environmental disasters and preventing them in time.