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Enriching standards-based digital thread by fusing as-designed and as-inspected data using knowledge graphs
Advanced Engineering Informatics ( IF 8.0 ) Pub Date : 2020-08-13 , DOI: 10.1016/j.aei.2020.101102
Soonjo Kwon , Laetitia V. Monnier , Raphael Barbau , William Z. Bernstein

Realizing the digital thread is essential for linking and orchestrating data across the product lifecycle in smart manufacturing. Linking heterogeneous lifecycle data is critical to maintain associativity and traceability in a digital thread. Recently, researchers have successfully leveraged ontology models with knowledge graphs in engineering domains for threading different lifecycle data. One of the most successful of such efforts is OntoSTEP which enables the formal capture of information embedded in the STandard for Exchange of Product model data (STEP) data representation, or ISO 10303. Meanwhile, an emerging inspection standard, called the Quality Information Framework (QIF), has garnered significant attention as it can bring quality information into the digital thread. Implementing more automated methods for product quality assurance is challenging due to the lack of unified information models from design to inspection. To this end, we propose an approach to fuse as-designed data represented in STEP and as-inspected data represented in QIF in a standards-based digital thread based on ontology with knowledge graphs. Specifically, we present an automated pipeline for generating knowledge graphs representing STEP and QIF data, a mapping implementation to integrate STEP and QIF knowledge graphs, and rules and queries to demonstrate the integration’s potential for better decision making with respect to product quality assurance.



中文翻译:

通过使用知识图融合设计和检查数据来丰富基于标准的数字线程

实现数字线程对于智能制造中整个产品生命周期中的数据链接和编排至关重要。链接异构生命周期数据对于维持数字线程中的关联性和可追溯性至关重要。最近,研究人员已成功地将本体模型与工程领域的知识图一起用于线程化不同的生命周期数据。其中最成功的一项就是OntoSTEP,它可以正式捕获嵌入在标准交换产品模型数据(STEP)数据表示形式或ISO 10303的标准中的信息。同时,一种新兴的检验标准被称为质量信息框架( QIF),因为它可以将质量信息带入数字线程,因此备受关注。由于缺乏从设计到检​​验的统一信息模型,因此实施更加自动化的方法来保证产品质量非常具有挑战性。为此,我们提出了一种方法,可以将基于STEP的设计数据和基于QIF的检查数据融合到基于本体和知识图的基于标准的数字线程中。具体来说,我们提供了一个自动管道,用于生成代表STEP和QIF数据的知识图,用于集成STEP和QIF知识图的映射实现,以及规则和查询,以展示该集成的潜力,以便就产品质量保证做出更好的决策。我们提出了一种方法,可以在基于本体和知识图的基于标准的数字线程中融合STEP中表示的设计数据和QIF中表示的检查数据。具体来说,我们提供了一个自动管道,用于生成代表STEP和QIF数据的知识图,用于集成STEP和QIF知识图的映射实现,以及规则和查询,以展示该集成的潜力,以便就产品质量保证做出更好的决策。我们提出了一种方法,可以在基于本体和知识图的基于标准的数字线程中融合STEP中表示的设计数据和QIF中表示的检查数据。具体来说,我们提供了一个自动管道,用于生成代表STEP和QIF数据的知识图,用于集成STEP和QIF知识图的映射实现,以及规则和查询,以展示该集成的潜力,以便就产品质量保证做出更好的决策。

更新日期:2020-08-13
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