系统仿真学报 ›› 2022, Vol. 34 ›› Issue (09): 1909-1919.doi: 10.16182/j.issn1004731x.joss.22-0220

• 专家约稿 •    下一篇

云边端架构的装备精确维修平行仿真系统

邸彦强(), 李婷(), 冯少冲, 刘琼瑶, 吕建红, 陈志佳, 张阳, 曹朋飞   

  1. 陆军工程大学石家庄校区,河北  石家庄  050003
  • 收稿日期:2022-03-15 修回日期:2022-06-25 出版日期:2022-09-18 发布日期:2022-09-23
  • 通讯作者: 李婷 E-mail:yq.simu@139.com;jxxyliting@163.com
  • 作者简介:邸彦强 陆军工程大学石家庄校区教授、博士生导师,军队学科拔尖人才,现任陆军工程大学石家庄校区装备模拟训练中心主任,陆军武器装备模拟仿真创新团队技术负责人,陆军模拟仿真领域专家,中国仿真学会理事。长期从事系统仿真教学和科研工作,主持多项军队重点工程,建模与仿真类研究成果获军队科技进步一等奖3项、二等奖6项;国家/国防发明专利10余项,国军标1部、部门标准10余部;发表论文150余篇,出版专著5部;荣立三等功3次,享受国务院政府特殊津贴。
    邸彦强(1973-),男,博士,教授,研究方向为装备仿真。E-mail:yq.simu@139.com
  • 基金资助:
    河北省自然科学基金(F2019506029)

Parallel Simulation System of Equipment Precision Maintenance Based on Cloud-Edge-End Architecture

Yanqiang Di(), Ting Li(), Shaochong Feng, Qiongyao Liu, Jianhong Lü, Zhijia Chen, Yang Zhang, Pengfei Cao   

  1. Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, China
  • Received:2022-03-15 Revised:2022-06-25 Online:2022-09-18 Published:2022-09-23
  • Contact: Ting Li E-mail:yq.simu@139.com;jxxyliting@163.com

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。

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

Abstract:

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.

Key words: cloud-edge-end architecture, parallel simulation, remaining useful life (RUL) prediction, precision maintenance, equipment support

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