The digital twin bridge the gap in complex assets between OT systems and the IT environment by capturing data to monitor performance, deterioration and failure, location and safety compliance and remote monitoring systems for scheduling and asset utilisation.
Diego Galar, Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Luleå University of Technology, is bringing in the most advanced views from the academic and research field when it comes to Industry 4.0 and industrial AI.
Predictive maintenance and maintenance analytics allow machine operators to save on resources unnecessarily spent on frequently scheduled maintenance checkups and part repairments that are ineffective.
IoT has started to permeate more areas of our lives as more everyday devices are turning “smart” by connecting to the Internet. Not only IoT devices are connected to the Internet, they potentially can communicate with each other by sharing information to make our lives easier.