Cyber-Physical Systems (CPSs) employed for Industrial Automation often require the adoption of a hybrid data processing approach mediating between cloud, edge, and fog computing paradigms. Nowadays, it is possible to shift data pre-processing capabilities closer to data sensing to collect environmental measurements locally on the edge or deep edge. In line with the emerging computing paradigms, this work proposes a solution that includes both software and hardware components and which simplifies the deployment of smart measurement systems. The solution stresses also the adoption of standards and open data paradigms for simplifying the integration and ensuring the interoperability of all the systems involved. The distributed smart measurement solution has been adopted in an Industry Automation use case included in the project Cyber-Physical Systems for Europe (CPS4EU). The use case attains with monitoring of an industrial trimming machine operating in the production process of a big part of a civil aircraft, where the sensing and processing capabilities of the distributed smart measurement system allow to collect different parameters of work parts to satisfy the expected quality of the production process.

翻译：用于工业自动化的网络-物理系统往往要求采用混合数据处理方法,在云层、边缘和雾雾计算范式之间进行调解。现在,有可能将数据预处理能力更接近于数据遥感,以收集边缘或深边缘的当地环境测量数据。根据新出现的计算模式,这项工作提出了既包括软件和硬件元件,又简化智能测量系统的部署的解决方案。解决方案还强调采用标准和开放数据范式,以简化整合和确保所有所涉系统的互操作性。在欧洲网络-物理系统项目(CPS4EU)中包含的工业自动化使用案例中,采用了分布式智能计量解决方案。该案例通过监测在民用飞机大片生产过程中运行的工业三角机器,在其中分布式智能测量系统的遥感和处理能力允许收集不同工作元参数,以满足生产过程的预期质量。