摘要
针对装备精确维修需求,在前期装备平行仿真相关研究成果基础上,优化完善了装备剩余寿命预测平行仿真算法,提出并设计了“云–边–端”架构的装备精确维修平行仿真系统。该系统在装备现场采集装备状态数据,边缘设备进行预处理,进而在云端由与实装平行运行的仿真模型,动态预测装备剩余寿命,并将预测结果应用于装备维修方案的制定与推演,为装备精确维修提供支撑。
Aiming at the demands of equipment precision maintenance,based on the previous research results of equipment parallel simulation,the algorithm of equipment remaining useful life(RUL)prediction is optimized and a parallel simulation system for equipment precision maintenance with cloud-edge-end architecture is designed.At the equipment end,the system collects equipment status data and preprocesses it with edge devices.At the cloud end,based on simulation model,in parallel with the equipment entity,the system dynamically predicts the RUL of equipment.The prediction results are applied to the formulation and deduction of equipment maintenance plans to support the equipment precision maintenance.
作者
邸彦强
李婷
冯少冲
刘琼瑶
吕建红
陈志佳
张阳
曹朋飞
Di Yanqiang;Li Ting;Feng Shaochong;Liu Qiongyao;LüJianhong;Chen Zhijia;Zhang Yang;Cao Pengfei(Shijiazhuang Campus,Army Engineering University,Shijiazhuang 050003,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2022年第9期1909-1919,共11页
Journal of System Simulation
基金
河北省自然科学基金(F2019506029)。
关键词
“云–边–端”架构
平行仿真
剩余寿命预测
精确维修
装备保障
cloud-edge-end architecture
parallel simulation
remaining useful life(RUL)prediction
precision maintenance
equipment support
