The concept of digital twins has become a real buzzword, being on everyone’s lips and looked at as the future in more of less any line of business. Companies that fail to adapt to this technology will be left behind. What makes a digital twin so unique is that it acts as a bridge between the physical and digital world, allowing a process, product or service to become a virtual model.
Predicting and avoiding
By connecting the virtual with the physical world, companies are able to make predictions by analyzing data and monitor systems. It makes it possible to identify problems before they even occur. Allowing companies to prevent downtime, develop new opportunities and even plan for the future by using simulations.
What can go wrong?
Like every new technology, one is more likely to focus on the benefits at first sight. But anyone that has introduced a new system knows that it creates new vulnerabilities. Company engineers need to gain knowledge of how to implement such a system; otherwise, maximum output cannot be achieved. In addition, the system itself needs to be overlooked by IT security specialists. So before seeking to implement this technology, one must consider the potential weaknesses and take appropriate measures to guard against malicious activity and lack of knowledge among engineers so that full benefits may be realized.
Learn more, take one of our courses
Are you interested in learning more about digital twins? The University of Skövde offers the following online courses:
Credit courses (click on the link to read more and apply)
Virtual intelligent machines, his.se
Integrated virtual commissioning, his.se
Industrial robotics and RobotStudio®, his.se
Industrial robotics and RobotStudio® II, his.se
Industrial robotics, his.se
Introduction to Human-Robot-Interaction, his.se
If you are not able to apply for a University credit course, consider one of our no credit courses below:
No credit course We offer three hour package of video tutorials, “Getting started”, with video-tutorials that show how to get started with RobotStudio, Simumatik3D and FACTS Analyzer.
ABB RobotStudio, https://his.instructure.com/courses/3328
FACTS Analyzer, https://his.instructure.com/courses/3354