大数据技术在装备体系仿真实验中的应用模式及难点分析

Application Mode and Difficulty Analysis of Big Data Technology in Simulation Experiment of Equipment System

为解决仿真实验中系统数据之间效用单一的问题,对装备体系发展的仿真实验方法和实验框架进行分析。构建大数据技术在装备体系仿真中的实验框架,采用数据挖掘和深度学习等大数据分析技术,分析其在装备体系仿真实验中的应用流程,提出装备体系仿真实验中应用大数据技术的不足和难点。通过引入大数据技术,可为武器装备呈体系发展论证提供参考依据,为装备体系仿真实验注入新的活力。

In order to solve the problem of single effect between system data in simulation experiments, the simulation experimental method and experimental framework were presented for the development of equipment system. Constructing the experimental framework of big data technology in the simulation of equipment system, then it was analyzed that application process of big data analysis techniques such as data mining and deep learning in simulation experiment of equipment system. Finally, the shortcomings and difficulties were set up to application of big data technology in simulation experiment of equipment system. By introducing big data technology, it can provide reference for argumentation of equipment system development, and inject new vitality into simulation experiment of equipment system.