Advanced Analytics is the first market-ready AI application for paint shops. The intelligent solution, which combines the latest IT technology and mechanical engineering expertise, identifies sources of defects and determines optimal maintenance schedules. It also tracks previously unknown correlations and uses the knowledge to adapt the algorithm to the plant using the principle of self-learning. Advanced Analytics is the latest module from the DXQanalyze product series. First practical applications are showing that the software from Dürr optimizes plant availability and the surface quality of painted bodies.
Why do body parts exhibit the same defects with an unusually high frequency? When is the latest that a mixer in the robot can be replaced without causing machine stoppage? Precise answers are important for sustainable economic success. Because every defect or every unnecessary maintenance procedure that can be avoided saves money or improves the product quality. “Previously there were very few precise conclusions that would enable the early detection of quality defects or failures. And if there were, they were generally based on painstaking manual data evaluation or trial-and-error attempts. Artificial Intelligence (AI) makes this much more accurate and automatic,” explains Gerhard Alonso Garcia, Vice President MES & Control Systems at Dürr.