Abstract
In order to meet recent challenges for more efficient and economic industrial manufacturing plants and processes, new and already existing infrastructure undergoes transformations towards so called’ Smart Factories’. In this paper a fully integrated Data Analytics Infrastructure is introduced, which is applicable for different use-cases. The modular and scalable infrastructure basically consists of embedded devices for the acquisition of controller signals and process data from the real-time field bus, and a ’private cloud’ server with high storage and computing capacity for data administration, analytics and various other services. The infrastructure’s potential is demonstrated by an exemplary use-case, an energy management approach for multi manipulator handling processes, including monitoring and process optimization functionalities.
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Maurer, I., Riva, M., Hansen, C., Ortmaier, T. (2017). Cloud-based Plant and Process Monitoring based on a Modular and Scalable Data Analytics Infrastructure. In: Schüppstuhl, T., Franke, J., Tracht, K. (eds) Tagungsband des 2. Kongresses Montage Handhabung Industrieroboter. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-54441-9_4
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DOI: https://doi.org/10.1007/978-3-662-54441-9_4
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