Smart data for the fourth industrial revolution

Growing automation in mechanical and plant engineering means that the volume of data being generated – “big data” – is increasing all the time. It doubles every two years on average. By 2020, it is expected to amount to around 40 zettabytes, i.e. 40 trillion gigabytes. The “Internet of Things” is making a major contribution to this unprecedented  data growth. Today’s printing presses have around 2,500 sensors and report four million pieces of event data every day. This data needs to be analyzed and interpreted – turning big data into smart data.

These challenges are addressed by the “SAKE” (Semantic Analysis of Complex Events) project that is being supported by the German Federal Ministry for Economic Affairs and Energy (BMWi) as part of its “Smart Data – Innovations in Data” technology program. Participating organizations include Fraunhofer IAIS, Heidelberg Druckmaschinen AG, AviComp Controls GmbH, Ontos GmbH and Leipzig University. USU is responsible for overall coordination as the lead manager.

The SAKE platform is intended as a “big data toolbox” for processing sensor data, particularly for mechanical engineering, production and IT monitoring. In future, individual applications for different uses will be realized on the basis of prefabricated modules. The practicability of the modules will be evaluated in a real environment at the industrial partners participating in the project.

One focal point is fault analysis for printing presses. In another scenario, software will be used for early fault detection in compressor systems. Other areas of activity include the development of innovative, data-driven controller technology for turbocompressors and power generation for wind farm maintenance. The modules could also be used in areas such as mobility and health with corresponding adaptations to the evaluationalgorithms.

The use of smart data solutions represents a huge opportunity for Germany as an economic location. Flagship projects like SAKE are demonstrating the great diversity and potential of applications and services based on this technology.

Henrik Oppermann, 
Head of Research