Painted surfaces can be impaired by dust content in the ambient air.
BMW specialists are now applying AI algorithms to compare live data from dust particle sensors in the paint booths and dryers with data gathered from automatic surface inspections in the paint shop.
“Data-based solutions help us secure and further extend our stringent quality requirements to the benefit of our customers. Smart data analytics and AI serve as key decision-making aids for our team when it comes to developing process improvements. We have filed for several patents relating to this innovative dust particle analysis technology,” explains Albin Dirndorfer, senior vice president of Painted Body, Finish and Surface at the BMW Group.
Two specific examples show the benefits of this new AI solution: Where dust levels are set to rise owing to the season or during prolonged dry periods, the algorithm can detect this trend in good time and is able to determine, for example, an earlier time for filter replacement.
Additional patterns can be detected where this algorithm is used alongside other analytical tools. For example, analysis could further show that the facility that uses ostrich feathers to remove dust particles from car bodies needs to be fine-tuned.
The BMW Group’s AI specialists see enormous potential in dust particle analysis.
Based on information from numerous sensors and data from surface inspections, the algorithm monitors over 160 features relating to the car body and is able to predict the quality of paint application very accurately.
This AI solution will be suitable for application in series production when an even broader database for the algorithm has been developed. In particular, this requires additional measuring points and even more precise sensor data for the car body cleaning stations.
The AI experts are confident that once the pilot project at the parent plant in Munich has been completed, it will be possible to launch dust particle analysis also at other vehicle plants.
