机载电子与维修系统仿真模型集成算法研究

Study on Airborne Electronic and Maintenance System Simulation Model Integration Algorithm

随着飞机系统结构的复杂化和维修系统仿真模型的多样化,飞机维修系统仿真模型的集成存在基础层直接集成难度大和复用性差等问题;基于逆向推理的系统仿真模型集成算法以目标问题为导向逆向推理模型数据,经不同知识层次匹配查询目标模型,将模型集成过程转变为问题求解过程,降低了直接对目标建模的复杂程度,最终建立集成网络,实现决策、模型和数据的综合集成;经验证,该算法在飞机维修训练器的仿真系统模型集成中具有良好的性能。

With the complicated structure of aircraft system, the simulation model diversification of maintenance system, the direct integration difficulty and poor reusability of base layer in the aircraft maintenance system integration has turned into pressing problems. The integration algorithm of system simulation model based on backward reasoning use target problem as the model data of oriented backward reasoning, match and search the target model during different knowledge levels, transform the model integration process for problem solving process, reduce the complexity of modeling directly on the target, finally, set up integrated network and realize the comprehensive integration of decision, models and data. It is verified that the algorithm has good performance in the simulation model integration of aircraft maintenance training system.