In the so-called “Industry 4.0”, the productive times of machines and entire production lines are largely optimized in many industries. Therefore, the optimization of unproductive times, as machine downtime and reject production, are now being considered. Digital twins of production lines can be created using comprehensive data capture. Our author Marco Grafe discusses what is behind digital twins, what they are used for and whether we need them at all.
Production sites in high-wage countries demand highly automated and flexible production systems to remain competitive. In most cases, developing software for production systems requires using physical components under real conditions.
As the Industry 4.0 concepts mature, we will look at the Azure edition of Digital Twins. The definition of Digital Twins assumes the digital representation of real-world things’ (or people’s) properties, either in real time (for control and predictive maintenance) or in simulations to acquire and test behaviors before actual deployment. As such, Azure Digital Twins are closely related to Azure IoT services; however, they could do a bit more, as we will see in this blog article.