Construction of Aviation Intelligent Computer Aided Training System Based on Swarm Intelligence Optimization Algorithm

In order to realize the digitization and intelligence of aircraft maintenance training, an aviation intelligent computer-aided training system based on swarm intelligence optimization algorithm was constructed. The system comprehensively considers the user-centered design of human-computer interaction strategies and cognitive psychological factors, and establishes an intelligent decision-making model based on information entropy theory. The model takes the training results of the trainees as the basis for intelligent decision-making. By extracting the knowledge element information that affects the training failure, it searches for the relevant knowledge chain, and then calculates the entropy value to queue the knowledge elements that cause the training failure. Cognitive theory conducts secondary organization of relevant knowledge elements to form a new targeted training library. Select swarm intelligence optimization algorithms with different characteristics for theoretical and applied research. In the research of optimization algorithm, the operation mechanism of swarm intelligence optimization algorithm and the construction of fitness function are improved respectively, trying to improve the convergence and convergence accuracy in the analysis of typical optimization problems in the aviation industry; Based on this theory, an aviation oriented aircraft maintenance training prototype system is established, which verifies the feasibility of the intelligent computer-aided training system based on information entropy.