Technique of designing immersive simulator for automation of professional training for operators

The technique of immersive simulator designing is presented. It is based on the smart training automation algorithm for operators professional training in ergatic control systems. The technique consists of two levels: low and high level designing. The low- level designing defines the simplest operator’s activities which can be evaluated by means of psychophysiological tests. The high- level designing defines the performance selection metrics: time costs and operating procedure. At each design level, models of fuzzy inference are formed. They include a unified set of rules based on the operator’s performance parameters and the learning environment feedback as difficulty degree changes of the present scenario. The specific feature of the high-level designing is the growing of the rules set because of the increasing number of the environment parameters influencing the difficulty degree of the present scenario.  For solving this problem, a genetic algorithm is used, which is a heuristic combinatorial search for the optimal rule for fuzzy inference. Based on the proposed design methodology, a simulator was developed for training transport-technological machine operators. Experimental data showed an increase in productivity in terms of loading the assortment by 11.6%, a decrease in the time to complete one technological cycle by 10.2% and a decrease in the number of errors by 80%. Thus, the feasibility of using the design methodology in industry for training operators was shown.