Simulation Of An Intelligent Detection System Virus SARS-CoV-2 In Enclosed Spaces

Abstract

During the COVID-19 pandemic, methods to determine the presence of coronavirus are very relevant. In this article, a new method has been developed to detect the presence of the SARS-CoV-2 virus in the air. The article analyzes in detail the signs indicating favorable conditions for the spread of the virus. The influence of changes in temperature, humidity, the presence of particles in the air, the level of CO2 and the ventilation of the room on the probability of infection with the virus is considered.Based on the studied parameters, a model was built. It allows to detect the probability of the threat of the spread of the virus. The model was implemented as a fuzzy controller in the Matlab environment. The studied parameters were taken as input parameters for constructing the model. The output parameter was the detector value indicating the presence or absence of a virus in the air.Thus, the built system allows detecting situations in which coronavirus infection is most likely. The system makes a conclusion about the degree of risk of the spread of the virus and, in case of danger, informs about the need for disinfection actions. The use of this system will reduce the cost of processing enclosed spaces, since it will not be carried out according to schedule, but in the case of a system signal.