Design ontology for cognitive thread supporting traceability management in model-based systems engineering

IF 10.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Industrial Information Integration Pub Date : 2024-04-30 DOI:10.1016/j.jii.2024.100619
Shouxuan Wu , Guoxin Wang , Jinzhi Lu , Zhenchao Hu , Yan Yan , Dimitris Kiritsis
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Abstract

Industrial information integration engineering (IIIE) is an interdisciplinary field to facilitate the industrial information integration process. In the age of complex and large-scale systems, model-based systems engineering (MBSE) is widely adopted in industry to support IIIE. Traceability management is considered the foundation of information management in MBSE. However, a lack of integration between stakeholders, development processes, and models can decrease the effectiveness and efficiency of the system development. A modified MBSE toolchain prototype has been developed to implement traceability management; however, a lack of formal and structured specifications makes it difficult to describe the complex topology in traceability management scenarios using this MBSE toolchain, such as creating traceability between heterogeneous models, which leads to poor reusability of this MBSE toolchain in other traceability management scenarios. To formalize traceability management scenarios using the MBSE toolchain, a cognitive thread (CT) ontology is developed in this study. The CT ontology is a specification expressing the information of stakeholders, models, and development processes for traceability management, providing the cognition capability to analyze the interrelationships between them. Based on the implementation of the modified MBSE toolchain, the concepts and interrelationships in the CT ontology are identified. The CT ontology is designed to develop the MBSE toolchain prototype for building, managing, and analyzing traceability in various traceability management scenarios. A case study of an adaptive cruise control system design is used to evaluate the completeness of the CT ontology through qualitative and quantitative analyses. The results demonstrate that the proposed CT ontology formalizes the information related to traceability management while using the proposed MBSE toolchain and can also be used in common traceability management scenarios to design other complex engineered systems.

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用于认知线程的设计本体,支持基于模型的系统工程中的可追溯性管理
工业信息集成工程(IIIE)是一个促进工业信息集成过程的跨学科领域。在复杂和大规模系统时代,基于模型的系统工程(MBSE)被广泛应用于工业领域,以支持 IIIE。可追溯性管理被认为是 MBSE 信息管理的基础。然而,利益相关者、开发过程和模型之间缺乏整合会降低系统开发的效果和效率。为了实现可追溯性管理,我们开发了一个改进的 MBSE 工具链原型;然而,由于缺乏正式的结构化规范,很难使用该 MBSE 工具链描述可追溯性管理场景中的复杂拓扑结构,例如在异构模型之间创建可追溯性,这导致该 MBSE 工具链在其他可追溯性管理场景中的可重用性很差。为了将使用 MBSE 工具链的可追溯性管理场景形式化,本研究开发了认知线程(CT)本体。CT 本体是表达可追溯性管理中利益相关者、模型和开发过程信息的规范,为分析它们之间的相互关系提供了认知能力。基于改进的 MBSE 工具链的实施,确定了 CT 本体中的概念和相互关系。CT 本体旨在开发 MBSE 工具链原型,用于在各种溯源管理场景中构建、管理和分析溯源性。通过定性和定量分析,使用自适应巡航控制系统设计案例研究来评估 CT 本体的完整性。结果表明,在使用所提出的 MBSE 工具链时,所提出的 CT 本体正规化了与可追溯性管理相关的信息,也可用于常见的可追溯性管理场景,以设计其他复杂的工程系统。
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来源期刊
Journal of Industrial Information Integration
Journal of Industrial Information Integration Decision Sciences-Information Systems and Management
CiteScore
22.30
自引率
13.40%
发文量
100
期刊介绍: The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.
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