Design And Implementation Of Experimental Evaluation System For Army Simulation

With the development of simulation technology,the combat simulation system is increasingly used in the military field to study military operations.The Army combat simulation system can simulate the battle scenes effectively and efficiently and generate the simulation data on kill,loss,consumption and so on.Because of the complexity and non-linearity of combat simulation system,it is difficult to evaluate and analyze simulation data to obtain effective information which can be used to provide bases for military command and decision.This paper designs and implements the Experimental evaluation system for the Army combat simulation system,as a tool to evaluate and analyze the simulation data efficiently and accurately.The paper uses the classical method to realize the functions of establishing evaluation index system and realizes different aggregation ways to calculate the index value efficiently to measure the combat capability.The paper uses machine learning algorithms to analyze the key operational factors and predict unknown scenarios.In addition,the system can obtain new simulation data dynamically by combining with the Army combat simulation system,and realize the experiment functions to feedback the analysis results to it to optimize the scenario and guide the next experiment.This paper uses the dynamic link library technology to realize the interface with the Army combat simulation system,which makes the Experimental evaluation system extensible and provides a reference to analyze other combat simulation systems.Finally,the functional tests are carried out to prove that the main functions of the Experimental evaluation system are in line with the expected results and meet the design requirements.