装备保障大数据建设与认知测试性设计  

Equipment Support Big Data Construction and Cognitive Testability Design

作　　者：尹园威 朱常安 史林 薛东方 解辉 Yin Yuanwei;Zhu Chang’an;Shi Lin;Xue Dongfang;Xie Hui(Department of Electronic and Optical Engineering,Shijiazhuang Campus,Army Engineering University of PLA,Shijiazhuang 050003,China;No.61035 Unit of PLA,Beijing 100094,China)

机构地区：[1]中国人民解放军陆军工程大学石家庄校区电子与光学工程系,石家庄050003 [2]中国人民解放军61035部队,北京100094

出　　处：《兵工自动化》2024年第4期28-32,共5页Ordnance Industry Automation

基　　金：技术基础研究项目(202LJ31021)。

摘　　要：为适应时代的发展与现代战争的需求,以提高装备作战效能为目标,构建一种基于认知测试性设计(design for cognitive testability,DFCT)的装备保障大数据建设理念。注重“信息”在装备保障中的作用,认知测试性扩展传统测试性内涵。为评估认知测试性设计的水平,提出以信息获取性能、故障诊断性能、预判决策性能为主的评价指标体系,并阐述其具体含义。结果表明,该设计可为装备保障数据库的建立提供设计支撑。s:In order to adapt to the development of the times and the needs of modern warfare,and to improve the operational effectiveness of equipment,a concept of equipment support big data construction based on design for cognitive testability(DFCT)is constructed.Emphasizing the role of“information”in equipment support,cognitive testability extends the connotation of traditional testability.To evaluate the level of cognitive testability design,an evaluation index system is proposed that focuses on information acquisition performance,fault diagnosis performance,and predictive decision-making performance,and its specific meanings are explained.The results indicate that this design can provide design support for the establishment of equipment support databases.

关 键 词：装备保障 大数据 认知测试性 指标体系 

分 类 号：TJ06[兵器科学与技术—兵器发射理论与技术] E92[军事—军事装备学]