Development of a model for persistent storage of process data in double-sided surface grinding with planetary kinematics
Tutor / director / evaluatorFargas Ribas, Gemma
CovenanteeTechnische Universität Berlin
Document typeBachelor thesis
Rights accessOpen Access
901/5000 The terms Industry 4.0, Internet of Things and Big Data have been among the central themes in the industrial environment for several years. Through the use of modern information and communication technology, industrial production will connect more strongly in the so-called fourth industrial revolution. With the help of this network, it should be possible to optimize the entire value chain. This requires that there be data available based on the optimization that can be carried out. These data include, for example, the characteristics of the process and the tool, but also the qualities of the work piece achieved in the process. So far, a lot of different parameters are stored before, during and after the processes. However, until now there is no central possibility of storing the data linked together persistently.