Surface World February 2019 SW_Feb_2019_LR | Page 71

Paint robots equipped with sensors enable the acquisition of large amounts of data - an important driver for applications in the Industrial Internet of Things. within tolerance and with Streaming Analytics, he can create an analysis model that automatically determines anomalies such as air bubbles in the paint from the characteristics of the signal curve. These possible applications make the Streaming Analytics solution a powerful tool, since the software automates the plant operators’ process knowledge using online analyses. have been using the EcoScreen Equipment Analytics software since 2018. The additional module Streaming Analytics based on real-time data has been used for the first time in a complete production line since the fourth quarter of 2018. The Batch Analytics module, which uses artificial intelligence, is currently in the trial phase with a customer. The EcoScreen Equipment Analytics software was developed in Dürr’s Digital Factory. In this competence center, founded in early 2018, around 100 software experts are working on solutions for the digitisation of production processes. Email: [email protected] Visit: www.durr.com Integration of machine learning in the future “In parallel with Streaming Analytics, Dürr is developing further modules for batch analytics applications that work on the basis of artificial neural networks. The software learns the optimal process condition fully automatically and registers every deviation. This means that the software will solve problems itself in the future through machine learning,” explains Dr. Friedrich. “If the self-learning modules detect trends, problems in the equipment can even be identified in advance by specifying a forecast of the event time.” A number of car manufacturers With the new Equipment Analytics software, the plant operator can monitor the condition in the painting cell. twitter: @surfaceworldmag FEBRUARY 2019 69