摘要
为解决装备维修保障智能化、实时化程度较低的现状,提出一种融合大数据分析和人工智能预测等功能的装备维修保障辅助决策系统。对系统架构设计、建设部署要点和组织运用方式进行具体分析,根据使用特点分为综合数据服务中心、分中心和信息站三级部署系统,并对系统组织运用模式进行初步设计。该系统能对大量装备维修保障信息进行有效管理和精准分析,为进一步提高装备管理和保障现代化水平提供辅助支撑。
For solving the low level of intelligent and real-time equipment maintenance support,this paper puts forward the construction of equipment maintenance support assistant decision-making system,which integrates the functions of big data analysis and artificial intelligence prediction.The system architecture design,key points of construction and deployment,organization and application mode were analyzed.According to the use characteristics,the system can be deployed in multiple levels,including integrated data service center,sub center and information station.And the design of the system organization and application mode is carried out.The system can effectively manage and analyze large number of equipment maintenance support information,and provide assistant support for improving equipment management and supporting modernization.
作者
陈玉昆
陈健
徐军
徐博奥
Chen Yukun;Chen Jian;Xu Jun;Xu Boao(No.96901 Unit of PLA,Beijing 100094,China)
出处
《兵工自动化》
2021年第4期20-22,29,共4页
Ordnance Industry Automation
关键词
装备维修保障
辅助决策
系统建设
组织运用
equipment maintenance support
assistant decision making
system construction
organization and application
