Addressing Cross-Domain Interoperability between Automotive and Smart Grid Architecture Models

Jounes-Alexander Gross, Katharina Polanec, Dominik Vereno, Christoph Binder, Christian Neureiter
{"title":"Addressing Cross-Domain Interoperability between Automotive and Smart Grid Architecture Models","authors":"Jounes-Alexander Gross,&nbsp;Katharina Polanec,&nbsp;Dominik Vereno,&nbsp;Christoph Binder,&nbsp;Christian Neureiter","doi":"10.1002/iis2.13263","DOIUrl":null,"url":null,"abstract":"<p>The rapid advancement and diversification of technical domains, particularly in automotive and smart grid sectors, are pivotal in driving the emerging energy revolution. This evolution is instrumental in governing the future of smart cities, characterized by escalating complexity and diversity within these domains. Such a landscape necessitates seamless collaboration among various domain experts, a task often complicated by the prevalent use of domain-specific languages and tools tailored to specific engineering needs. This poses a significant challenge towards cross-domain interoperability.</p><p>Addressing this challenge, our research introduces a novel approach leveraging abstraction layers inspired by the Software Platform Embedded Systems (SPES) methodology. This approach aims to enhance the compatibility of domain-specific frameworks, with a focus on the Smart Grid Architecture Model (SGAM) and the Automotive Reference Architecture Model (ARAM). By applying these SPES-inspired abstraction layers, our work facilitates the reconciliation of varying levels of detail across different domains.</p><p>The paper culminates in a proof of concept that demonstrates the practical implementation of this approach, showcasing a method to achieve effective cross-domain interoperability. This implementation not only underscores the feasibility of our proposed solution but also illuminates a pathway for managing the intricate interplay of systems in the rapidly evolving landscape of smart cities.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"34 1","pages":"2186-2201"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INCOSE International Symposium","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/iis2.13263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The rapid advancement and diversification of technical domains, particularly in automotive and smart grid sectors, are pivotal in driving the emerging energy revolution. This evolution is instrumental in governing the future of smart cities, characterized by escalating complexity and diversity within these domains. Such a landscape necessitates seamless collaboration among various domain experts, a task often complicated by the prevalent use of domain-specific languages and tools tailored to specific engineering needs. This poses a significant challenge towards cross-domain interoperability.

Addressing this challenge, our research introduces a novel approach leveraging abstraction layers inspired by the Software Platform Embedded Systems (SPES) methodology. This approach aims to enhance the compatibility of domain-specific frameworks, with a focus on the Smart Grid Architecture Model (SGAM) and the Automotive Reference Architecture Model (ARAM). By applying these SPES-inspired abstraction layers, our work facilitates the reconciliation of varying levels of detail across different domains.

The paper culminates in a proof of concept that demonstrates the practical implementation of this approach, showcasing a method to achieve effective cross-domain interoperability. This implementation not only underscores the feasibility of our proposed solution but also illuminates a pathway for managing the intricate interplay of systems in the rapidly evolving landscape of smart cities.

解决汽车与智能电网架构模型之间的跨域互操作性问题
技术领域的快速发展和多样化,尤其是汽车和智能电网领域的技术发展和多样化,是推动新兴能源革命的关键。这种演变对管理未来的智能城市至关重要,因为这些领域的复杂性和多样性不断升级。在这种情况下,各领域专家之间必须进行无缝协作,而由于普遍使用针对特定工程需求量身定制的特定领域语言和工具,这项任务往往变得更加复杂。为了应对这一挑战,我们的研究在软件平台嵌入式系统(SPES)方法的启发下,引入了一种利用抽象层的新方法。这种方法旨在增强特定领域框架的兼容性,重点是智能电网架构模型(SGAM)和汽车参考架构模型(ARAM)。通过应用这些受 SPES 启发的抽象层,我们的工作促进了不同领域之间不同细节级别的协调。论文的高潮是概念验证,它展示了这种方法的实际实施,展示了实现有效跨领域互操作性的方法。这一实施方案不仅强调了我们提出的解决方案的可行性,还为在快速发展的智慧城市中管理错综复杂的系统相互作用指明了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信