BENTELER proves technological competence with "Big Data Solutions”
Paderborn, September 09, 2020. The future is free of malfunctions. This is the ambitious goal of BENTELER. In order to guarantee a smooth production operation, the Paderborn-based company cooperates with the Fraunhofer IEM within the technology network it´s OWL in the research project BOOST 4.0. The institute is developing a model for the predictive maintenance of machines using Big Data. BENTELER puts the process model into practice. This allows customers to be served faster, more efficiently and more flexibly - in terms of time, quality and costs.
Data help to assess actual conditions correctly
Big Data is a term used to describe very large data volumes, which are too complex to evaluate them through manual or conventional methods. Data volumes of this magnitude are, for instance, generated in production. BENTELER and the Fraunhofer IEM use methods of machine learning and models for handling Big Data. “If we understand the relevant data, we can accurately assess the "state of health" of the machines. This enables our teams to avoid imminent production stops and to initiate appropriate measures in time", emphasizes Dr.-Ing. Daniel Köchling, Project Manager Industry 4.0, BENTELER Automotive.
From theory to practice
This was exactly what the 18th (digital) owl maschinenbau trade congress on 09.09.2020 was all about. In his presentation "BOOST 4.0 - Big Data for Factories", Dr.-Ing. Daniel Köchling explained how Big Data is used in practice. Using the example of a production line from BENTELER, where the focus is on predictive maintenance. Because here, patterns in the production process of a hydraulic press and a material conveying system can be identified. Thanks to systematic collection and evaluation of machine data.