– The day we start using Digital Twins on objects that are subject to depreciation, we will be able to control the maintenance in a much better way than we do today, states Bernt Isaksen from Dynova.
Today, it is how many kilometers you have on the clock that determines when your car is due for a service regardless of whether you live through the harsh winters of Norway or in a more summery setting like Brazil. As we constantly accumulate more computing power both on computers and in the cloud, it opens up opportunities for us to customize maintenance based on more precise data on the use pattern than just mileage alone to a far greater extent.
– Imagine if we had created what we call a Digital Twin, which is an exact 3D model of a car, train, ship or any other dynamic system that is exposed to wear. Then, we could apply this model to simulate the strains that the real vehicle or vessel is exposed to. With today’s technology, this is possible. We can equip the object with various sensors which collect and transmit data to a 3D model in the cloud. Consequently, for example, your driving behavior, mileage and temperature while using the car and other data, will determine when you need to have it serviced, explains Bernt Isaksen who is an engineer and works on the development of Digital Twins at Dynova.
– As we are now experiencing a rapid development of IIoT (Industrial Internet of Things) and have systems that can process large amounts of data, development of Digital Twins becomes very relevant.
Competence is required
– The model must be as close to reality as possible to ensure the Digital Twins work properly. This requires employees who have the right knowledge, and who have the ability to build models that are sufficiently accurate. If we are to develop the future of Digital Twins, we need to provide courses for employees in engineering and design environments to succeed. Digitread have the digital tools needed to create digital twins and now we look more closely at how we can work together on courses and training, continues Isaksen.