A METHOD FOR THE SCALABLE REAL-TIME STATE RECOGNITION OF PROCESSES AND/OR SUB-PROCESSES DURING PRODUCTION WITH ELECTRICALLY DRIVEN PRODUCTION PLANTS

The invention relates to a method for the scalable real-time state recognition of processes and/or sub-processes during production with electrically driven production plants and for the generation of corresponding key figures, comprising the generation of a time sequence of measurement data M by determining a power consumption of at least one production device with a predetermined sampling rate; Transmission of the sequence of measured data to a computing unit via streaming protocols, analysis of current properties of M by means of a current measuring point of M and a data set relating to a past measuring point of M and creation of real-time key figures which are representative for the current properties of M. A recognition and/or identification of current states of production processes and/or sub-processes on the basis of real-time key figures and preferably creation of a second set of associated real-time-key figures is implemented.