A methodology for developing SoS architectures using SysML model federation

IF 1.6 3区工程技术 Q4 ENGINEERING, INDUSTRIAL Systems Engineering Pub Date : 2023-10-11 DOI:10.1002/sys.21727

Chris Swickline, Thomas A Mazzuchi, Shahram Sarkani

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Abstract

Abstract An essential role of systems engineering is to aid in overcoming complexity during development. As system complexity increases, a greater number of organizations are being asked to contribute architecture/design content for systems development. An essential challenge to overcome is how to ensure digital continuity in connecting system models to form systems of systems (SoS) models. Leveraging recent developments in digital engineering (DE) and model‐based systems engineering (MBSE) this paper presents a SysML model federation methodology enabling multiple collaborating organizations to contribute system models and form a descriptive SoS architecture model. Systems engineers applying this methodology are able to reuse constituent system model content to describe the larger SoS behavior and structure while promoting reusability and commonality and are therefore better able to ensure correctness and consistency across development. First, a background through the review of SoS engineering (SoSE) and DE/MBSE literature is provided. Then an MBSE process along with specific methods tailoring the use of SysML within the Cameo Enterprise Architecture tool is presented. This work builds upon a previously published Systems Architecture Model (SAM) development method and is designed to permit style diversity across peer constituent models and ensure that every piece of data has an authoritative source of truth (ASOT) within the federation. This paper then presents the application of this methodology to the Ranger Lunar Rover system by making use of its openly published SysML model. Finally, the benefits and challenges of this methodology are discussed prior to drawing closing conclusions and identifying future areas of research.

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一种使用SysML模型联合开发SoS体系结构的方法

系统工程的一个重要作用是帮助克服开发过程中的复杂性。随着系统复杂性的增加，越来越多的组织被要求为系统开发贡献体系结构/设计内容。需要克服的一个重要挑战是如何确保连接系统模型以形成系统的系统(SoS)模型的数字连续性。利用数字工程(DE)和基于模型的系统工程(MBSE)的最新发展，本文提出了一种SysML模型联合方法，使多个协作组织能够贡献系统模型并形成描述性SoS体系结构模型。应用此方法的系统工程师能够重用组成系统模型内容来描述更大的SoS行为和结构，同时促进可重用性和通用性，因此能够更好地确保跨开发的正确性和一致性。首先，通过对SoS工程(SoSE)和DE/MBSE文献的回顾，提供了背景。然后介绍了MBSE过程以及在Cameo企业架构工具中裁剪SysML使用的特定方法。这项工作建立在先前发布的系统架构模型(SAM)开发方法的基础上，旨在允许跨对等组成模型的风格多样性，并确保每个数据块在联合中具有权威的事实来源(ASOT)。然后，本文通过使用其公开发布的SysML模型，介绍了该方法在Ranger月球车系统中的应用。最后，在得出结论和确定未来的研究领域之前，讨论了这种方法的好处和挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Systems Engineering 工程技术-工程：工业

CiteScore

5.10

自引率

20.00%

发文量

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.