MACHINE LEARNING: A JOURNEY TO THE YEAR 2030
How will mechanical engineering evolve in the years to come? Experts are clear about one thing: Self-learning systems are essential when it comes to securing competitiveness and the advancement of Industrie 4.0. The VDMA "Machine Learning 2030" report explores what the future may hold if the development of artificial intelligence is advanced or slowed down.
THE VIRTUAL PRODUCT CONTROLS ACTUAL PRODUCTION
Asked about a real-life example of the use of Industrie 4.0 at shop floor level, Steffen Winkler does not need to think for long. The automation expert from Bosch Rexroth quickly picks up a cordless screwdriver for industrial use.
INVENTING THE INCONCEIVABLE
Fixing a sensor to a component in order to find out what happens to it during the production process is an important way of collecting information. Connectivity solutions are the specialty of research engineer Dr. Nelly Frank. Frank is a computer scientist working at Bosch’s advance engineering center in Renningen. She and her fellow colleagues are inventing future products.
SECURITY: A MOVING TARGET
Finding the gap in the defense is the goal of the offense. The quarterback and his players run, pass and move down the field to finally enter the end zone of the opposing team: Touchdown! Hackers use a strategy similar to that of a football team in attacking the opposing side. And in the end, they, too, often win.
HOW TO PROTECT NETWORKED PRODUCTION
What if cyber attacks affected digital manufacturing in the worst imaginable way? Instead of pondering this question over and over, German industry and academia joined forces to work on ways to prevent networked production from cyber attacks and spying. On the initiative of VDMA, the German Federal Ministry of Education and Research supports a national reference project entitled IUNO which focuses on information technology (IT) security in so-called Industrie 4.0 with funding totaling 20 million euros. The total volume of the project amounts to 33 million euros.