大数据条件下装备试验与评价管理模式的设计  

Design of Equipment Test and Evaluation Management Mode under the Condition of Big Data

作　　者：刘琦 LIU Qi(Research Institute of High Technology,Hunan Institute of Traffic Engineering,Changsha 410073,China)

机构地区：[1]湖南交通工程学院高科技研究院,长沙410073

出　　处：《机械工程师》2024年第10期36-40,共5页Mechanical Engineer

基　　金：湖南省自然科学基金(2021JJ30231)。

摘　　要：进入大数据时代,装备试验与评价(Test and Evaluation,简写为T&E)数据呈现大数据特点,需要利用大数据的技术与方法对T&E的数据、模型等进行管理。首先,对大数据条件下装备T&E的3个特点进行了归纳。其次,提出了大数据条件下T&E管理的五项原则。然后,构建了T&E管理的六维度元模型。最后,对基于元模型的T&E集成分析方法进行了探讨。T&E管理模式的设计为进一步T&E数据与模型的互联互通互使用,以及数据的规范化管理提供了模型和方法支持,具有重要的理论意义和实践价值。In the era of big data,equipment test and evaluation(T&E)data presents the characteristics of big data,requiring the use of big data technology and methods to manage T&E data,models,etc.Firstly,three characteristics of equipment T&E under the condition of big data are summarized.Secondly,five principles of T&E management under the condition of big data are proposed.Then,a six dimensional meta-model of T&E management is constructed.Finally,the T&E integration analysis method based on metamodel is discussed.The design of T&E management mode provides model and method support for further interconnection and interoperability of T&E data and models,as well as standardized management of data,which has important theoretical significance and practical value.

关 键 词：大数据 试验与评价 管理原则 元模型 

分 类 号：N37[自然科学总论] N949