Shifting the human dialogue to knowledge level at modeling of products

L. Horváth, I. Rudas, A. Szakál
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引用次数: 1

Abstract

Engineering for lifecycle of products integrates all required definitions, descriptions, and simulations in contextual model spaces. Product Lifecycle Management (PLM) is flexible virtual technology to serve this new way of product engineering in company environments. Presently, communication between engineer and PLM modeling environment is done using product object generation processes where human defines features as objects. The well known and proven feature principle has been extended to the entire product model. It was first defined in the ISO10303 product model standard. A PLM system is open for extension by new features, procedures, and human communication surfaces in application environment opening the way also for research. As a contribution to research in open PLM environments, this paper introduces a novel knowledge based and product behavior driven human control of product object definition. Recent product modeling in PLM system handles contextual features including knowledge entities such as rule sets, etc. An actual problem in industrial engineering environments is that model of complex product includes huge number of feature and context definitions making communication of human with object generation very difficult. Contributing to a possible solution, this paper introduces an approach and method to replace the currently applied direct human control of product model object generation processes by a new objective and knowledge driven adaptive control. For this reason, the currently applied product model is proposed to extend by a new contextual chain including human request, product definition objective, product behavior, product object generation control, and product object model representation. The main essence of the proposed modeling is situation based product behavior feature driven definition of product objects as features. Situation connects specified product quality, knowledge for feature definition, and product features for requested product functions.
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在产品建模时将人类对话转移到知识层面
产品生命周期工程在上下文模型空间中集成了所有必需的定义、描述和模拟。产品生命周期管理(PLM)是一种灵活的虚拟技术,服务于企业环境下产品工程的新方式。目前,工程师和PLM建模环境之间的通信是通过产品对象生成过程完成的,其中人类将特征定义为对象。众所周知的特性原理已经被扩展到整个产品模型中。它首先在ISO10303产品模型标准中定义。PLM系统是开放的,可以通过应用环境中的新特性、新程序和人机交互界面进行扩展,也为研究开辟了道路。作为对开放式PLM环境研究的贡献,本文提出了一种基于知识和产品行为驱动的产品对象定义的人工控制方法。最近PLM系统中的产品建模处理上下文特性,包括规则集等知识实体。工业工程环境中的一个实际问题是,复杂产品的模型包含大量的特征和上下文定义,使得人与对象生成的沟通非常困难。为了解决这一问题,本文介绍了一种新的目标和知识驱动的自适应控制方法,以取代目前应用的对产品模型对象生成过程的直接人工控制。为此,提出了一种新的上下文链来扩展当前应用的产品模型,该上下文链包括人的请求、产品定义目标、产品行为、产品对象生成控制和产品对象模型表示。所提出的建模的主要本质是基于情景的产品行为特征驱动的产品对象特征定义。情境将指定的产品质量、特性定义的知识和所要求的产品功能的产品特性联系起来。
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