虚拟空间中的通信与知识密集型工程建模

L. Horváth, I. Rudas, Simona Vaivoda, Z. Preitl
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引用次数: 2

摘要

用于开发、生产和其他与产品相关的公司活动的工程被组织在虚拟系统中,用于产品数据的生命周期管理。这个工程的新时代是八十年代和九十年代产品设计、分析和其他生产工程活动逐步从传统环境转移到建模环境的不断发展的结果。然而,为了实现人类意图的建模、日益复杂的产品结构和高效的产品数据交流,基于知识的决策辅助还需要更多的发展。近年来,工程方法和软件的巨大变化产生了知识技术和先进的本地和全球通信的程序产品。工程师的小组工作越来越多地围绕互联网上的工程专门门户组织起来。尽管密集的研究活动在基于知识的工程解决方案中产生了杰出的方法,但这些方法并没有在工业建模实践中广泛应用。本文试图评价当前通信和知识密集型工程建模向通信和知识密集型虚拟空间技术发展的可能性。论文首先讨论了不同组的产品建模技术的集成应用。在此之后,评估了产品数据管理(PDM)的方法。下一节强调方面、上下文和意图是工程师在产品数据和决策关系建模中的主要问题。最后,总结了针对产品生命周期的工程活动管理方法,并考虑了互联网门户周围的工程师社区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Communication and Knowledge Intensive Engineering Modeling in Virtual Spaces
Engineering for development, production, and other product related company activities are being organized in virtual systems for lifecycle management of product data. This new age of engineering is a result of the continuous development for step-by-step moving of product design, analysis and other production engineering activities from conventional environments to modeling environments during the eighties and nineties. However, more developments were needed in knowledge based decision assistance in order to realize modeling of human intent, increasingly complex product structures, and efficient communication of product data. In recent years, a great change of engineering methodology and software produced program products in knowledge technology and advanced local and global communication. Group work of engineers is increasingly organized around special portals for engineering on the Internet. Although intensive research activities produced outstanding methods in knowledge-based solutions for engineering, these methods have not widespread in the industrial modeling practice. This paper attempts to evaluate the possibility that recent communication and knowledge intensive engineering modeling can be developed into communication and knowledge intensive virtual space technology. Paper starts with a discussion on integrated application of different groups of product modeling techniques. Following this, methods are evaluated for the management of product data (PDM). Next section emphasizes aspects, contexts, and intents as primary issues in modeling for relationships in product data and decisions by engineers. Finally, methods for the management of engineering activities for lifecycle of products are summarized, considering communities of engineers around Internet portals.
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