A Reference Architecture Based on Edge and Cloud Computing for Smart Manufacturing

Abstract

The paper examines the development of production systems from automated to data analysis-supported process control. In current concepts, process optimization is carried out by data analysis with the help of a decision support system after the production process. Prescriptive automation envisages controlling the process before and autonomously on the basis of a prescriptive analytics model. The development of an IT architecture is identified as an essential part of the overall concept. On the basis of expert interviews and current literature reviews, the question is answered, which requirements an IT architecture for prescriptive automation has to fulfill. These requirements are opposed to solution components with the goal of a modular architectural concept. On basis of the requirements and therefore needed solution components, a reference architecture is identified on the assumption of the data processing resources. The main processing components of this architecture are a combination of edge and cloud computing.

A Review of Multisensor Data Fusion Solutions in Smart Manufacturing: Systems and Trends

“…The authors of [38] separated the requirement and solution components that are assigned to the data storage processes. In [39], it was suggested that due to comprehensive process transparency, structured, semi-structured, and unstructured data should be stored and made available for application-specific processing.…”

“…In [39], it was suggested that due to comprehensive process transparency, structured, semi-structured, and unstructured data should be stored and made available for application-specific processing. Furthermore, in [38], operational data storage and a long data storage system were proposed. The first one requires an edge device unit, which must be able to store and manage real-time data.…”

Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends

“…In this sense, enterprise architecture is an integrative approach to integrating processes, people, systems, technologies and business information (Lankhorst, 2009; Papazoglou and Van Den Heuvel, 2007). The integration of emerging technologies into an organization's ICT infrastructure is a major challenge that transforms today's ICT infrastructures to allow the collection, storage and analysis of data for decision-making (Kaynak et al , 2020; Pech e Vrchota, 2020; Vater et al , 2019). In this context, process modeling allows knowing and mapping all the elements related to organizational processes and facilitates the creation of a business structure integrated with ICT architectures that interconnect processes, people, machines, devices and systems, and change the structure of a business digitally by adopting breakthrough technologies (Ilin et al , 2021).…”

A Connective Framework to Support the Lifecycle of Cyber–Physical Production Systems

“…Edge computing also simplifies the communication chain and reduces potential sources of error by connecting to physical assets directly and collecting, analyzing, and processing data directly. Edge devices can also directly execute operations, such as filtering and aggregating raw data, significantly reducing the need to transport a large amount of raw data to the cloud for further analysis [1], [2], [31], [32].…”