摘要
针对"人在回路"合成训练仿真规模大、实体多、部署分散、异构系统多等难点问题,研究梳理美国陆军合成训练环境建设情况,设计了基于TISA中间件的可持续演进的分布式合成训练仿真云服务架构,提出了可组合多层级合成训练仿真应用模式,解决了分布式训练仿真实时互联互通互操作、战场环境一致性、模型可组合可重用、仿真即服务等技术问题,为大规模"人在回路"战术对抗演练、研究性演习提供了技术支撑,对战斗力提升具有重要意义。
Aiming at the difficulties of "human-in-the-loop" synthetic training simulation such as large scale, many entities, decentralized deployment and many heterogeneous systems. After study the construction of US Army synthetic training environment, a sustainable evolution cloud service architecture of distributed synthetic training simulation based on TISA middleware is designed, and a composable multi-level synthetic training simulation application model is put forward. It solves the technical problems of distributed training simulation, which are real-time interconnection and interoperability, consistency of battlefield environment, model composition and reuse, simulation as a service, etc. It provides technical supports for large-scale "human-in-the-loop" tactical confrontation exercises and research exercises, which helps to improve combat effectiveness.
作者
董志明
朱广超
徐享忠
谭亚新
范锐
Dong Zhiming;Zhu Guangchao;Xu Xiangzhong;Tan Yaxin;Fan Rui(Military Exercise and Training Center,Army Academy of Armored Forces,Beijing 100072,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2021年第6期1248-1257,共10页
Journal of System Simulation
关键词
训练仿真
人在回路
仿真架构
仿真即服务
training simulation
human in the loop
simulation architecture
simulation as a service