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STEP-based quality diagnosis of shape data of product models for collaborative e-engineering

机译:基于STEP的产品模型形状数据质量诊断以进行协作式电子工程

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Collaborative e-engineering requires different digital tools in different phases of the product development process. However, an interoperability error makes product model data unusable when applying digital tools. Movement toward concurrent and collaborative e-engineering drives the need for assuring the quality of the communicated product model data. In this paper, a quality diagnosis method of the shape data of a neutral file based on a product model including curved surface described in formal language is proposed. The proposed method is based on the standard for the exchange of product data (STEP) technology using EXPRESS-X, which is the mapping language between STEP model data. In order to help create the data quality diagnostics criteria for geometric errors easily, the classification of the quality criteria based on their geometric algorithms is also proposed. The certification data model of the product data is proposed to avoid a tedious checking procedure in the receiver system. Some of the quality criteria, which were published by the Strategic Automotive Product Data Standards Industry Group (SASIG), are rewritten in formal language and applied to the data sets including the error set provided by the Japan Automotive Manufacturers Association (JAMA) to demonstrate the effectiveness of the proposed diagnostics method. The approach based on the formal language is extensible for any phase of the product development process by rewriting the criteria. Not all SASIG criteria have actually been implemented. Future work is to rewrite all SASIG-PDQ criteria into EXPRESS-X schemas.
机译:协作式电子工程需要在产品开发过程的不同阶段使用不同的数字工具。但是,互操作性错误使应用数字工具时无法使用产品模型数据。走向并发和协作电子工程的趋势推动了对确保传达的产品模型数据质量的需求。本文提出了一种基于产品模型的中性文件形状数据质量诊断方法,该产品模型包括以正式语言描述的曲面。所提出的方法基于使用EXPRESS-X交换产品数据(STEP)技术的标准,EXPRESS-X是STEP模型数据之间的映射语言。为了帮助轻松创建针对几何错误的数据质量诊断标准,还提出了基于几何算法的质量标准分类。提出了产品数据的证明数据模型,以避免在接收器系统中进行繁琐的检查程序。战略汽车产品数据标准行业小组(SASIG)发布的一些质量标准已用正式语言重写,并应用于包括日本汽车制造商协会(JAMA)提供的错误集在内的数据集,以证明所提出的诊断方法的有效性。通过重写标准,基于形式语言的方法可扩展到产品开发过程的任何阶段。并非所有SASIG标准实际上都已实施。未来的工作是将所有SASIG-PDQ标准重写为EXPRESS-X模式。

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