LAUSR

Abstract In Industry 4.0 several new methods have been introduced to approximate the real and digital world. Digital twins represent real object together with their data and functions in the digital world. The latest developments in digital twin researches extend the application of following areas like simulation-based system engineering, simulation-based optimization and simulation-based control. Application of digital twin in plasma radiation detection gives a new opportunity to model the procedure of detection and discover the possible errors. This paper proposes a fuzzy based mathematical model of metal absorber–metal resistor bolometer as a digital twin. The use of a fuzzy logic based approach is herewith proposed and implemented, where fuzzy membership functions are assigned to different physical and geometrical properties of the metal resistor → metal absorber → camera housing → numerical assumptions back-calculation chain. Our fuzzy based digital twin is tested on results of numerical plasma simulations the uncertainties (as a possible sources of detection error) of which are also handled via fuzzy logic. The resulted mathematical model (camera + plasma) is a suitable tool to be able to estimate the overall error and uncertainty of radiation detection.