系统工程与电子技术
• 系统工程 • 上一篇 下一篇
康文文, 李浩敏, 汤超, 张莘艾
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KANG Wenwen, LI Haomin, TANG Chao, ZHANG Xinai
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摘要：
贯彻系统工程思想的基础是强大的知识工程能力,依据知识工程原理提出了一种云知识平台架构,尝试解决复杂工程系统设计中的“知识困境”问题。首先分析了复杂工程系统设计中执行系统工程思想时面临的知识困境的具体情况,为云知识平台的内容提供指导;然后详细论述了云知识平台的架构及相应的知识工程过程;最后对云知识平台的效用进行了较为深入的分析。分析表明,基于云知识平台的“知识工程”方案可以较为完备地支撑3大核心系统工程过程的并行工程,可以为复杂工程系统设计提供坚实的基础。
Abstract:
The basis to implement the methodology of system engineering is a solid capability of knowledge engineering. Based on the principles of knowledge engineering, a structure of a cloud knowledge platform is proposed, which aims to solve the knowledge dilemma problem in the complex system design process. Firstly, the specific situation of knowledge dilemma is analyzed to provide the guidance of the contents for the platform. Then the architecture of the cloud knowledge platform is presented, including the main processes of knowledge engineering. Finally, the effectiveness of the cloud knowledge platform is analyzed. The analysis result reveals that this knowledge engineering solution can sufficiently support the concurrent engineering, and provide solid basis for complex system design.
康文文, 李浩敏, 汤超, 张莘艾. 面向复杂工程系统设计的云知识平台[J]. 系统工程与电子技术, doi: 10.3969/j.issn.1001-506X.2017.05.20.
KANG Wenwen, LI Haomin, TANG Chao, ZHANG Xinai. Cloud knowledge platform for complex system design[J]. Systems Engineering and Electronics, doi: 10.3969/j.issn.1001-506X.2017.05.20.
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链接本文: https://www.sys-ele.com/CN/10.3969/j.issn.1001-506X.2017.05.20
https://www.sys-ele.com/CN/Y2017/V39/I5/1078
