基于本体的复杂产品维护设计知识再利用方法

IF 8.2 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ziyue Guo , Dong Zhou , Dequan Yu , Qidi Zhou , Hongduo Wu , Aimin Hao
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引用次数: 0

摘要

在第四次工业革命的背景下,复杂产品的生命周期中会产生大量异构数据和信息,这对制造商和有效的知识整合提出了巨大挑战。传统的基于经验的设计方法很难满足客户的不同需求,也很难在激烈的全球市场中保持竞争力。获取分散在不同部门和阶段的多学科知识,并将其正规化和重新利用,以帮助做出有效决策,是数字化企业提高制造效率的重要途径。维护设计是一项需要跨领域知识并涉及利益相关者协作的典型工作。本文提出了一种结构化的特定领域本体及其开发方法,即复杂产品可维护性设计本体(MDOCO),以正规化异构知识,提高可维护性设计领域的语义互操作性。MDOCO 具有严格的语义结构,符合精心设计的顶层和中间本体,如基本形式本体(Basic Formal Ontology)和工业本体基金会(IOF)核心本体(Industrial Ontology Foundry (IOF) Core Ontology),以确保语义互操作性。我们精心设计了一套推理规则,使 MDOCO 能够进行知识推理。在实际案例中,MDOCO 的有效性在语义和应用层面都得到了验证。MDOCO 结合了最新方法和最佳实践,能够对异构知识进行结构合理的建模,并具有良好的语义互操作性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An ontology-based method for knowledge reuse in the design for maintenance of complex products

In the context of the Fourth Industrial Revolution, a large amount of heterogeneous data and information is generated during the lifecycle of complex products, which poses a considerable challenge for manufacturers and effective knowledge integration. It has been challenging for traditional experience-based design methods to meet the diverse needs of customers and maintain competitiveness in fierce global markets. Capturing, formalizing and reusing multidisciplinary knowledge that is scattered among different departments and stages to help make effective decisions has been a crucial way for digital enterprises to improve manufacturing efficiency. Design for maintenance is typical work requiring cross-domain knowledge and involving stakeholder collaboration. This paper presents a structured domain-specific ontology and its development method, namely, the Maintainability Design Ontology for Complex prOducts (MDOCO), to formalize heterogeneous knowledge and improve semantic interoperability in the maintainability design area. The MDOCO has a rigorous semantic structure and complies with well-designed top-level and middle ontologies such as the Basic Formal Ontology and the Industrial Ontology Foundry (IOF) Core Ontology to ensure semantic interoperability. A set of reasoning rules is carefully designed to enable the MDOCO to perform knowledge reasoning. In a practical case, the effectiveness of the MDOCO is validated at both the semantic and application levels. The MDOCO combines recent methodology and best practices, enabling the well-structured modeling of heterogeneous knowledge and good semantic interoperability.

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来源期刊
Computers in Industry
Computers in Industry 工程技术-计算机:跨学科应用
CiteScore
18.90
自引率
8.00%
发文量
152
审稿时长
22 days
期刊介绍: The objective of Computers in Industry is to present original, high-quality, application-oriented research papers that: • Illuminate emerging trends and possibilities in the utilization of Information and Communication Technology in industry; • Establish connections or integrations across various technology domains within the expansive realm of computer applications for industry; • Foster connections or integrations across diverse application areas of ICT in industry.
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