Hannover Fair - HM 2019

  © Fotografie Vanessa Leissring The "Big-Data Demonstrator" (Dr. Max Hofmann (IMA) and Anja Wassong from the Cluster of Excellence)

„From Machine Data to Big Data“

The Cluster of Excellence Internet of Production (IoP) and its Network PROTECA (Production Technology Aachen/ Produktionstechnik Aachen) offered an up-to-date insight into top-level research focusing on the topic digitization in production.

From april 1 to 5, the new Cluster of Excellence „Internet of Production“ of RWTH Aachen University and its network PROTECA presented its research at Hannover Messer for the very first time. The cluster as a core piece of Industrie 4.0 research looks ahead at the future of production technology. PROTECA supports the transfer of research results between industry and research. Within the framework of the networkers belonging to ProduktionNRW, PROTECA presented a thrilling insight into the topic of „big data“ at HMI2019, cooperating with the CyberneticsLab IMA & IfU of RWTH Aachen University.

  © Imgage: Anja Wassong

The Internet has revolutionized the availability of knowledge and data over the last years. With the concept of the Internet of Things, the idea has been transferred to the physical world, although the direct transmission to production technology is not expediently available yet. This is due to the fact that production technology is characterized by many more parameters but simultaneously less available data than other big data domains. Although large quantities of data is there, the data is not easily accessible nor interpretable or connected in a way so it can be used to generate new knowledge. The Internet of Production is based on the vision that a new level of collaboration across domains can be enabled by providing semantically adequate and context relevant data from production, development and use in real time and with adjusted granularity. To present the topic visually, the CyberneticsLab researchers developed the „Big Data Demonstrator. From Machine Data to Big Data“, which depicts the real-time machine data of a CNS-milling-machine simulation as a so-called data lake by using a cloud.