摘要
针对军用工程机械作业监控中存在的战场动态感知能力不足、装备健康评估缺乏预测性、多兵种装备数据异构性强等问题,提出一种多层级数字孪生架构的作业状态监控平台,通过构建“机理-物理-数字三维孪生体”,融合机械动力学模型、物理传感器与数字仿真技术,结合CAN总线、RTK定位与轻量化建模技术,实现作业场景动态优化、异常作业情况实时预警、作业进度预测与资源动态调度指导。为战场复杂环境下的军用工程机械全生命周期管理提供战术级解决方案,显著提升野战条件下的装备保障响应速度和战场适应性。
Aiming at the problems such as insufficient battlefield dynamic perception ability,lack of predictive equipment health assessment,and strong heterogeneity of multi-service equipment data in the operation monitoring of military engineering machinery,a multi-level digital twin architecture operation status monitoring platform is proposed.By constructing a“mechanism-physical-digital three-dimensional twin body”,it integrates mechanical dynamics models,physical sensors and digital simulation technology,and combines CAN bus,RTK positioning and lightweight modeling technology to achieve dynamic optimization of operation scenarios,real-time early warning of abnormal operation conditions,operation progress prediction and dynamic resource scheduling guidance.It provides a tactical-level solution for the full life cycle management of military engineering machinery in complex battlefield environments,significantly improving the equipment support response speed and battlefield adaptability under field conditions.
作者
沙居巍
王海涛
高兴
王清
奚修林
卢军晓
SHA Juwei;WANG Haitao;GAO Xing;WANG Qing;XI Xiulin;LU Junxiao(College of Field Engineering,Army Engineering University,Nanjing 210007,China)
出处
《火力与指挥控制》
北大核心
2025年第10期196-206,共11页
Fire Control & Command Control
关键词
数字孪生
轻量化建模
军用工程机械
战场态势感知
战术决策支持
digital twins
lightweight modeling
military construction machinery
battlefield situational awareness
tactical decision support
