Digital Twin is a digital model that virtually represents its physical counterpart. It’s a virtual representation of an operational process, person’s task, or physical product. This is helpful in understanding or predicting the physical counterparts. Thus, by leveraging both business system data that defines it and the physical world experienced captures through a sensor.
This technology uses virtual and augmented reality as well as 3D graphics. Data modeling also comes into action to build a virtual model of service, process, system product, and another physical object. Moreover, the digital twin is an exact replica of the physical world.
Its exact replica status is maintained through real-time updates. This technology is applicable to a wide range of environments including monitoring of products while they are in use. This technology also comes into action throughout the product life cycle.
The foundation of digital twinning is the need for a robust part of twinning. At this level, there is a virtual representation of the individual components. It gives engineers the capability to understand the physical, electrical, and mechanical characteristics of a part. For instance, there are many computer-aided designs and manufacturing solutions today.
This offers the ability to perform a variety of analyses relating to durability, including statics stress and thermal stress. Electronic circuit simulation software also tells us how electronic components will react as various electrical signals are injected into a circuit. In addition, it requires a mathematical model of sufficient complexity to be able to best predict real-world behaviors under a variety of scenarios.
Twinning individual parts offer useful insights. But twinning the interoperability of parts as they work together helps to enable product twinning. Being able to understand how parts interact with each other and their environment allows for optimization of the constituent parts. Therefore by maximizing operating characteristics minimizing things such as a means time between failure and means time to repair.
At the next level, the system twinning allows the engineers to operate and maintain an entire fleet of disparate products. These products work together to achieve a result at a system level. Imagine an energy grid that can spin up and spin down electrical generation by monitoring the demand. Now think of this possibility across all types of system families. There are groups that build and manage the traffic-control system, communication system, or industrial manufacturing systems. Eventually, this will have an unheard ability to monitor and experiment with their system. Eventually, it achieves unparalleled efficiency and effectiveness.
The digital twin is not just limited to physical objects. It uses twin processes and workflow as well. The process of twinning empowers the optimization of operations involved in refining the raw materials and production of finished goods. It’s purely business-focusing workflows, even those who still have humans in the loop still benefit from the modeling.
It allows managers to improve inputs and observe how outputs are affecting upending existing workflow. Otherwise, this would cause a business to grind to a halt. This process of twinning will enable senior corporate leaders to monitor the business in a data-driven manner. Due to this new technology data, the driven method is not possible.
Digital twins are a replica of living or nonliving products. It can be applied to physical assets, people processes, places, devices, and systems which can be used for various purposes. It’s referred to as a computer-based version of anything which physically exists. It is a cloud-based image of an asset that is maintained throughout the lifecycle and is easily accessible. Using this technology brings together powerful analysis, insight, and diagnostics.
A digital twin is a real mapping of all components in a product life cycle using physical data, virtual data, and interaction between these data. The digital twin technology finds applications in several sectors e.g. energy and utilities, aerospace and defense, automotive transportation, machines manufacture, healthcare, and consumer goods.
The Global Digital Twin Market size would rise at a market growth of 41.7% CAGR during the forecast period.
