A large number of companies and organizations today using IIoT implement or are planning to implement some kind of digital twin as an integral aspect of a predictive analytics strategy.

Fremont, CA: The fundamental idea of the digital twin involves integrating engineering models with the physical product or equipment in an environment that enables change and enhancement of the as-designed and as-built product. But because of the advancement of enabling technologies, there has been a new focus on the use of the digital twin and its benefits.

Manufacturers can minimize time and cost related to assembling, installing, and authenticating factory production systems by implementing digital twins that present the product and production systems. Also, using digital twins for asset management usually offer quantifiable advantages for handling equipment in the field.

Top 10 Smart Manufacturing Solution Companies in Europe - 2021An area of focus for deploying the digital twin is asset lifecycle management (ALM). Maintenance technicians can utilize augmented reality (AR) technologies to access virtual engineering models and overlay these models over the physical equipment on which they are performing maintenance using specialized AR goggles or glasses. According to the combined virtual and physical environments, these same maintenance methods can be used to factory production systems, machines, and work cells. Also, products, production systems, machines, and work cells can be virtually imitated to test and authenticate physical systems before being assembled and installed.

The virtual commissioning of production automation is integrating with the more expansive scope of the digital twin. Virtual commissioning is a one-time validation of an automated production system. However, the digital twin characterizes an ongoing analytical and enhancing process that happens in real-time.

It is evident that the digital twins will be used across the product and process lifecycle to mimic, forecast, improve and manage products, assets, and production systems instead of creating physical prototypes and test equipment. A large number of companies and organizations today using IIoT implement or are planning to implement some kind of digital twin as an integral aspect of a predictive analytics strategy.

See also: Top Digital Twin Solution Companies