自动生成 OPC UA 信息模型--回顾与展望

IF 10.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Axel Busboom
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引用次数: 0

摘要

OPC 统一架构(OPC UA)被广泛认为是 "工业 4.0 "的关键推动因素,也是从传感器到云的工业通信中最有前途的标准化平台之一。它的主要特点之一是强大的信息建模框架,允许组成语义模型并实现自描述信息提供。然而,建立 OPC UA 信息模型可能是一项繁琐的任务,需要深入了解 OPC UA 元模型和要建模的应用领域。因此,文献中描述了大量自动生成 OPC UA 信息模型的方法,这些方法有的来自关系数据库,有的来自特定应用领域的模型、工具或语言,有的则通过将多个组件级模型聚合到一个单一的系统级信息模型中。本文回顾了自动生成 OPC UA 信息模型的工具和方法的最新进展。本文认为,丰富工具种类和互操作性,特别是与工业工程工具的互操作性,将是释放 OPC UA 全部潜力的先决条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated generation of OPC UA information models — A review and outlook

OPC Unified Architecture (OPC UA) is widely considered a key enabler of “Industry 4.0” and one of the most promising standardized platforms for industrial communications from sensor to cloud. One of its key features is a powerful framework for information modeling that allows to compose semantic models and enables self-describing information provisioning. However, building OPC UA information models can be a tedious task, requiring deep understanding of both the OPC UA meta-model and the application domain to be modeled. Therefore, a wide range of methods for automatically generating OPC UA information models has been described in the literature, either from relational databases, from application-domain specific models, tools, or languages, or by aggregating multiple component-level models into a single, system-level information model. This paper reviews the state-of-the-art in tools and methods for automated generation of OPC UA information models. It is argued that enriching the tool landscape and interoperability, in particular with industrial engineering tools, will be a prerequisite for unleashing the full potential of OPC UA.

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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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