支持基于模型的系统工程的系统重构本体:连接设计和操作的方法

IF 1.6 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL
Lara Qasim, A. Hein, Sorin Olaru, Jean-Luc Garnier, M. Jankovic
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引用次数: 0

摘要

系统重构在复杂系统管理中是必不可少的,因为它是系统灵活性和适应性的推动者。它保证了系统的运行,提高了系统实体和技术的可靠性、可用性、可维护性、可测试性、安全性和可重用性。对于正在使用的系统的重新配置,有必要在连续性中评估系统与其上下文相关的状态。识别支持系统重构的数据是一项重大的工业挑战,与工业重构工具的开发直接相关。重构工具基于数据模型,也称为本体,它表示系统重构的关键概念及其关系。开发数据模型的一个特别困难是重构的多域性质。此外,它需要处理各种系统类型。很少有出版物提出支持整个过程的数据识别和工具开发的本体。因此,在本文中,我们建议形式化系统重构过程,并提出一个总体本体,我们称之为OSysRec。该本体考虑管理、动态和结构级别的数据。提出的本体是基于专家知识和几个工业用例开发的。OSysRec本体允许更好地理解重新配置过程,因此它可以用于在工业规模上开发高效和有效的重新配置工具。该本体已在一个工业案例研究中进行了测试,以验证所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
System reconfiguration ontology to support model‐based systems engineering: Approach linking design and operations
System reconfiguration is essential in complex systems management, as it is an enabler of system flexibility and adaptability. It ensures system operation and increases reliability, availability, maintainability, testability, safety, and reuse of system entities and technologies. For the reconfiguration of a system in use, it is necessary to assess, in continuity, the system's state with regard to its context. Identifying data supporting system reconfiguration represents a major industrial challenge and is linked directly to the development of industrial reconfiguration tools. Reconfiguration tools are based on a data model, also called ontology, which represents key concepts of system reconfiguration and their relationships. A particular difficulty of developing the data model is the multi‐domain nature of reconfiguration. Furthermore, it needs to address a considerable diversity of system types. Few publications propose an ontology supporting data identification and tool development for the entire process. Hence, in this paper we propose to formalize the system reconfiguration process and propose an overarching ontology, which we call OSysRec. This ontology considers data at the management, dynamics, and structure level. The proposed ontology has been developed based upon expert knowledge and several industrial uses cases. The OSysRec ontology allowed a better understanding of the reconfiguration process, and hence it can be deployed for developing efficient and effective reconfiguration tools at the industrial scale. The ontology has been tested on an industrial case study to validate the proposed approach.
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来源期刊
Systems Engineering
Systems Engineering 工程技术-工程:工业
CiteScore
5.10
自引率
20.00%
发文量
0
审稿时长
6 months
期刊介绍: Systems Engineering is a discipline whose responsibility it is to create and operate technologically enabled systems that satisfy stakeholder needs throughout their life cycle. Systems engineers reduce ambiguity by clearly defining stakeholder needs and customer requirements, they focus creativity by developing a system’s architecture and design and they manage the system’s complexity over time. Considerations taken into account by systems engineers include, among others, quality, cost and schedule, risk and opportunity under uncertainty, manufacturing and realization, performance and safety during operations, training and support, as well as disposal and recycling at the end of life. The journal welcomes original submissions in the field of Systems Engineering as defined above, but also encourages contributions that take an even broader perspective including the design and operation of systems-of-systems, the application of Systems Engineering to enterprises and complex socio-technical systems, the identification, selection and development of systems engineers as well as the evolution of systems and systems-of-systems over their entire lifecycle. Systems Engineering integrates all the disciplines and specialty groups into a coordinated team effort forming a structured development process that proceeds from concept to realization to operation. Increasingly important topics in Systems Engineering include the role of executable languages and models of systems, the concurrent use of physical and virtual prototyping, as well as the deployment of agile processes. Systems Engineering considers both the business and the technical needs of all stakeholders with the goal of providing a quality product that meets the user needs. Systems Engineering may be applied not only to products and services in the private sector but also to public infrastructures and socio-technical systems whose precise boundaries are often challenging to define.
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