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深空探测任务协同的系统工程方法应用及趋势 被引量:10

Application and Trend of Model-Based Systems Engineering Methods for Deep Space Exploration Mission
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摘要 综述了基于模型的系统工程(Model-Based Systems Engineering,MBSE)的技术发展现状,分析了深空探测系统工程与MBSE的问题及挑战,提出构建数字化工程生态是新一代深空探测MBSE的发展方向,归纳了面向深空探测任务协同的MBSE方法框架,提出了支持深空探测任务协同的“4个闭环迭代”流程方法,综合分析了支撑深空探测MBSE的系统模型体系与工具链平台。面向深空探测任务特点,专门探讨了跨专业、跨层级、跨阶段、跨地域的协同设计与持续验证技术,以及基于模型的安全性可靠性质量管理与技术状态控制技术,最后总结展望了深空探测新一代基于模型的数字化系统工程的内容要点和关键趋势。 This paper analyzes the present development of Model-Based Systems Engineering(MBSE),the problems and challenges of system engineering for deep space exploration and MBSE,and proposes that the digital engineering ecology is the development direction of the new generation of MBSE for deep space exploration mission.It summarizes the Model-Based System Engineering method framework for deep space exploration mission collaboration.The“four closed loop iteration”process method is proposed to support deep space exploration task collaboration,and the system model system and tool chain platform supporting deep space exploration MBSE are analyzed comprehensively.Based on the characteristics of deep space exploration mission,this paper discusses the collaborative design and continuous verification technology of cross specialty,cross level,cross phase and cross region,as well as the model-based safety and reliability quality management and technical state control technology.Finally,the content points and key trends of the new generation of model-based digital system engineering for deep space exploration are summarized and expected.
作者 于国斌 YU Guobin(School of Astronomers,Beijing University of Aeronautics and Astronautics,Beijing 100091,China;State Administration of Science,Technology and Industry for National Defense,PRC,Beijing 100048,China)
出处 《深空探测学报(中英文)》 CSCD 北大核心 2021年第4期407-415,共9页 Journal Of Deep Space Exploration
基金 国家重点研发计划(SQ2019YFE20137) 国防基础科研计划(JCKY2020903B001) 民用航天技术预研项目。
关键词 深空探测 航天系统工程 基于模型的系统工程 数字化工程生态 deep space exploration space system engineering Model-Based Systems Engineering(MBSE) digital engineering ecology
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