Application of rule-based expert system in ATC simulator evaluation system

Abstract

In order to overcome the subjectivity and high-intensity work of ATC instructors in evaluating air-traffic controllers in the ATC simulator training, a method of applying rule-based expert system to ATC simulator evaluation system is proposed. According to the requirements of ATC simulator training and evaluation, the system function of the evaluation system is analyzed. Based on the rule-based expert system theory, the architecture of the ATC simulator evaluation system, the evaluation indexes algorithm, the editing of the rule knowledge base, and the reasoning engine of the evaluation system are designed, so that the ATC simulator evaluation system can realize automatic, objective, fair and efficient evaluation according to the established rules in the training, and has been successfully applied in the ATC simulator.