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Driving Engineering Model Generation on Functional and Logical Levels

机译:驾驶工程模型在功能和逻辑层面上产生

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摘要

Concept model is needed to represent multidisciplinary product system in recent advanced industrial product engineering. This paper is novel methodological contribution to intelligent driving of functional and logical components in system concept model of industrial product. Enhanced representation and handling of objects in requirements, functional, logical, and physical (RFLP) structured engineering model is introduced. The IEEE standardized RFLP structure integrates systems engineering (SE) methodology with physical level product modeling. The proposed method relies upon driving entities in RFLP enabled engineering model using intelligent content representation. It supposes application of configuration and extension purposed user software development capabilities within the functionality of host engineering system at implementation. Research for the proposed driving method utilized former own research results in product model related issues such as integration, high level abstraction, intelligent content definition, and human intent representation. Method is suitable for industrial, concept, or experimental product. In this paper, main elements of the contribution are structure of driving content in the background of RFLP structure represented product information, communication of content at model object driving, and means for connection between parameters of elements in the proposed model extension and in the functional and logical components of RFLP structured product model. More issues in this paper are about connection between virtual and cyber-physical product environments and application of knowledge from organized intellectual property (IP) sources at content background.
机译:需要概念模型来代表近期高级工业产品工程中的多学科产品系统。本文是工业产品系统概念模型中功能和逻辑组件智能驾驶的新方法论贡献。引入了增强了要求,功能,逻辑和物理(RFLP)结构化工程模型的对象的增强的表示和处理。 IEEE标准化RFLP结构与物理级产品建模集成了系统工程(SE)方法。所提出的方法依赖于使用智能内容表示的启用RFLP的工程模型的实体。它假设在实施中的主机工程系统的功能范围内应用了配置和扩展的用户软件开发能力。用于所提出的驾驶方法的研究利用以前自己的研究导致产品模型相关问题,如集成,高级抽象,智能内容定义和人类意向表示。方法适用于工业,概念或实验产品。在本文中,贡献的主要元素是RFLP结构背景中的驾驶含量的结构代表了产品信息,模型对象驱动的内容通信,以及用于在所提出的模型扩展中的元素参数和功能和功能和功能RFLP结构化产品模型的逻辑组件。本文中的更多问题是关于虚拟和网络物理产品环境之间的联系,并在内容背景下的有组织的知识产权(IP)源的应用。

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