ArcelorMittal’s digital transformation journey
Key Word: Industrial drones, smart steel mills
ArcelorMittal’s digital transformation process is dominated by five projects that bring new technologies from prototype to maturity more quickly. Improve the safety, efficiency and accuracy of your operations, increasing productivity and quality.
1) Build a digital center of excellence
ArcelorMittal is establishing digital centers of excellence near its global production sites, enabling new technologies to go from prototype to maturity faster. More than 100 engineers at ArcelorMittal’s Belgian plant are advancing automation projects and rolling out these technologies across the group. Two new digital labs in France provide training and innovation centers for employees, students and local start-ups.
2) Industrial drone applications
ArcelorMittal uses drones to improve the safety, efficiency and accuracy of operations, such as equipment maintenance, to minimize hazards to employee safety. Meanwhile, drones are also being used to launch infrared cameras at high altitudes to track energy usage.
3) Automation project
ArcelorMittal’s automation projects are increasing productivity and quality. Ongoing automated yard projects that integrate production line scheduling and transportation equipment (such as automatic cranes) to reduce inventory and shorten lead times. ArcelorMittal Canada Dofasco uses fully automatic cranes to identify and lift coils during transport. ArcelorMittal’s tailor-weld plants in the U.S., Canada and Mexico are fully robotic, increasing output and quality and meeting automotive customers’ needs to “scale up.”
4) Artificial Intelligence (AI) Projects
ArcelorMittal’s AI project is advancing. The image recognition project and AI model of a hot rolling mill in Canada realized real-time automatic judgment of weld peeling. Artificial intelligence image recognition project in Brazil, one for cold roll width measurement and another for automatic grading of environmental emissions.
5) Double data item
Digital data uses data collected from sensors to create virtual models to optimize physical assets and manufacturing processes, such as leveraging sensors to create a digital fingerprint of planned delivery coils. Coil quality defects are flagged and linked to the twin data of the coil in the cloud. When coils arrive, customers can access quality data from the cloud by scanning barcodes and use this information to optimize their operations.
6) Virtual Reality (VR) Projects
VR programs can be used to enhance safety training. ArcelorMittal uses VR to conduct safety training in confined spaces at factories in Brazil and the United States.
Edit: Yuan Hui