面向装备论证的大数据应用架构

本文围绕装备论证大数据的管理和应用，论述了装备论证大数据的基本概念和应用现状，探讨了大数据应用的重要意义，并结合实际应用需求构建了装备论证大数据应用总体框架，阐述了平台基础层、数据层、存储管理层、服务支撑层和应用层的内涵和组成，介绍了大数据应用框架遵循的标准规范体系、运维管理和安全管控措施。本研究着重分析了支撑装备论证大数据平台的通用服务和专用服务，阐述了各类服务的主要组成和基本功能，设想了装备论证大数据平台提供的装备评估研究、装备运用研究、装备仿真实验和装备数据信息查询等服务应用，分析了平台建设涉及的多源异构数据融合、装备大数据综合处理、多维数据可视化等关键技术。希冀该研究结果能够为装备论证大数据建设与应用研究提供一定理论支撑。

Architecture of a big data application for equipment demonstration

This paper focuses on the management and application of equipment demonstration using big data. The authors discuss the basic concept and its status of application, construct the overall framework for equipment demonstration using a big data application based on the requirements of its practical application, detail the connotation and formation of the foundation layer, data layer, storage management layer, service support layer, and application layer of the platform, and introduce the standard and specification systems, operation and maintenance management, and security control measures of the framework for the big data application. This paper focuses on the analysis of the general and special services supporting the big data platform for equipment demonstration, and considers service applications for research on assessing the equipment, using it, simulating it, and searching for the relevant data. It helps analyze multi-source heterogeneous data fusion, comprehensive big data processing, multi-dimensional data visualization, and other key technologies involved in platform construction, and provides support for research on the construction and application of big data for equipment demonstration.