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Automated generation of engineering rationale, knowledge and intent representations during the product life cycle

机译：在产品生命周期中自动生成工程原理，知识和意图表示

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One of the biggest challenges in engineering design and manufacturing environments is the effective capture of and decoding of tacit knowledge. Fundamental to Life Cycle Engineering is the capture of engineering information and knowledge created at all stages of the product development process, from conceptual design through to product support and disposal. Consider this - the amount of vital information and knowledge lost when key design personnel retire - hence the need to capture meta-cognitive task-related strategies, particularly to support knowledge reuse and training. Many methods have been tried and tested with the successful few found to be very time consuming and expensive to implement and carry out; consequently, there is a need to investigate alternative paradigms for knowledge and information capture. This paper reports on a current industrial case study on knowledge capture methods employed by industrial partners in the design and manufacture of a variety of electro-mechanical products. The results suggest the need for new kinds and forms of knowledge capture methods and representation, particularly those associated with individual design engineering tasks. Following the findings, the paper presents a knowledge capture methodology for automatic real-time logging, capture and post-processing of design data from a virtual reality design system. Task-based design experiments were carried out with industrial partners to demonstrate the effective, unobtrusive and automatic capture and representation of various forms of design knowledge and information. Qualitative and quantitative evaluation of knowledge representations were also performed to determine which method was most effective at conveying design knowledge and information for other engineers.
机译：工程设计和制造环境中的最大挑战之一是如何有效地捕获和解码隐性知识。生命周期工程的基础是捕获在产品开发过程的所有阶段（从概念设计到产品支持和处置）的工程信息和知识。考虑这一点-关键设计人员退休时丢失的重要信息和知识的数量-因此需要捕获与元认知任务相关的策略，尤其是支持知识重用和培训的策略。已经尝试和测试了许多方法，但成功的方法很少，发现实施和执行非常耗时且昂贵。因此，有必要研究知识和信息捕获的替代范例。本文报告了有关工业伙伴在设计和制造各种机电产品中采用的知识捕获方法的最新工业案例研究。结果表明，需要新的形式和形式的知识捕获方法和表示形式，尤其是与单个设计工程任务相关的知识表示形式。根据这些发现，本文提出了一种知识捕获方法，用于自动实时记录，捕获和后处理来自虚拟现实设计系统的设计数据。与行业合作伙伴进行了基于任务的设计实验，以证明有效，不干扰和自动地捕获和表示各种形式的设计知识和信息。还对知识表示进行了定性和定量评估，以确定哪种方法最有效地为其他工程师传达了设计知识和信息。

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