Industrie 4.0 and data analytics blur the separation of operational and information technology that prevailed for industrial automation over the last decades. Decentralized control systems for production plants and robot cells collaborate actively with higher-level systems for big data analytics. In parallel, the complexity of designing and operating a system architecture for data collection and analysis increases dramatically as more experts from different domains get involved. Graphical modeling notations facilitate the design process by formalizing implicit knowledge, but currently do not exist for the combined description of field layer and data analytics. Modeling the system architecture, relevant constraints, and requirements early during the design process can increase the efficiency of the system development and deployment, especially as experts with various backgrounds are involved. In this contribution, a new graphical notation is introduced and evaluated in three industrial case-studies. The notation describes the underlying hardware and software components of cyber-physical systems of systems, the flow of data, and relevant constraints. The evaluation proved that the notation is powerful in supporting the engineering of data collection and analysis architectures in industrial automation. Future work is related to extending the scope of the modeling approach to include safety applications and real-time considerations on the field level.

工业4.0和数据分析模糊了过去几十年来在工业自动化领域盛行的操作和信息技术的分离。用于生产工厂和机器人单元的分散控制系统与用于大数据分析的高级系统积极协作。同时，随着越来越多来自不同领域的专家的参与，设计和操作用于数据收集和分析的系统体系结构的复杂性急剧增加。图形化建模符号通过形式化隐式知识来促进设计过程，但目前尚不存在对字段层和数据分析的组合描述。在设计过程中尽早对系统架构，相关约束和要求进行建模可以提高系统开发和部署的效率，特别是涉及不同背景的专家。在此贡献中，引入了一种新的图形符号，并在三个工业案例研究中对其进行了评估。该符号描述了系统的网络物理系统的底层硬件和软件组件，数据流以及相关的约束。评估证明，该符号在支持工业自动化中的数据收集和分析体系结构工程方面具有强大的功能。未来的工作与扩展建模方法的范围有关，以包括现场级别的安全应用程序和实时注意事项。该符号描述了系统的网络物理系统的底层硬件和软件组件，数据流以及相关的约束。评估证明，该符号在支持工业自动化中的数据收集和分析体系结构工程方面具有强大的功能。未来的工作与扩展建模方法的范围有关，以包括现场级别的安全应用程序和实时注意事项。该符号描述了系统的网络物理系统的底层硬件和软件组件，数据流以及相关的约束。评估证明，该符号在支持工业自动化中的数据收集和分析体系结构工程方面具有强大的功能。未来的工作与扩展建模方法的范围有关，以包括安全应用和现场级别的实时注意事项。