Cyber-Physical Control System for Personal Protective Equipment Against Infectious Diseases Transmitted by Airborne Droplets

An approach to modeling the fault tolerance of components of a cyber-physical control system for personal protective equipment against infectious diseases transmitted by airborne droplets based on the theory of semi-Markov processes is presented. At the first stage of the implementation of the approach, the life cycles of each component of the control system are considered with the construction of a conventional semi-Markov model. At the second stage, the model of competition between the components of the control system is considered in terms of time between failures. To simplify modeling, a digital approach to competition analysis has been developed. A digital model of the fault tolerance of all components of the control system is obtained using the sampling density, which is described by the uptime of the components. It is shown that the digital approach to the analysis of competition makes it quite simple to calculate the service life of the components of the control system and the control system as a whole. At the same time, the number of samples on the histogram, represented by a lifetime unit, allows you to control the accuracy and computational complexity of calculating the reliability characteristics of the control system.