面向过程的装备研发标准需求生成技术研究

Q3 Engineering
Changxi Wang, Wei Tang, Qiguo Liu, Xuan Zhang
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引用次数: 1

摘要

标准需求生成方法是标准形成的核心技术。由于缺乏系统的方法,缺乏标准的技术要素,标准与研发活动的相关性较弱。标准在完整性、适用性和可追溯性方面的不足可以明显观察到,这使得设备标准不能充分发挥降低成本和提高效率的作用,不能有效地促进设备技术的发展。根据自主可控标准的积极发展需求,定义了基于活动的标准需求捕获场景模型,描述了标准需求识别的机械化,提供了标准配置、标准元素定义和标准需求集成方法,建立了活动、工具、数据库和标准需求的映射矩阵。最后提出了一种面向过程的设备研发标准需求生成方法。通过在航空发动机压气机气动设计领域的应用,表明了建立标准与装备研发活动关系的有效性,保证了标准要求的完整性、可用性和唯一性,支持装备标准体系自主可控发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on process-oriented standard requirements generation technique for equipment research & development
Standard requirement generation method is a core technique of standard formation. Due to the lack of systems approach, missing of standard technical elements, weak correlation between standards and research and development(R & D) activities are appeared frequently. Deficiencies in integrity, applicability and traceability of standards can be observed noticeably, which makes the equipment standards cannot bring into full play of cost reduction and efficiency improvement, cannot promote the equipment technology development effectively. According to the positive development requirements of independent and controllable standards, an activity-based standard requirement capture scene model is defined, a mechanization of standard requirement identification is described, a standard configuration, standard element definition and standard requirement integration methods are provided, a mapping matrices of activities, tools, database and standard requirement are established, a process-oriented standard requirements generation method for equipment R & D is finally proposed. By applying in aircraft engine compressor aerodynamic design field, the proposed method shows that the effectiveness of the building relationships between the standards and equipment R & D activities, which can ensure the integrity, availability and uniqueness of standard requirements, support equipment standard systems independent and controllable development.
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来源期刊
西北工业大学学报
西北工业大学学报 Engineering-Engineering (all)
CiteScore
1.30
自引率
0.00%
发文量
6201
审稿时长
12 weeks
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