15 october 2019
Digital twins technology and modelling

Digital twins technology and modelling

Digital twins are dynamic digital or virtual software replications of physical assets, products and structures.

Digital twins today may reflect the experience of individual assets in real time or near real time, depending on factors, including the difficulty of the twins.

For example, an energy company can create a double of each individual wind farm turbine and learn in a digital environment how each of them is affected by its unique location in the field. Organizations can reflect the work of a component, system, assembly line or the whole production plant and can eliminate obstacles down to the level of three-dimensional components. Examples of digital twins are growing in number and include pumps, wind turbines, electric motors, alternators and other assets.

          In recent years, digital twins have gone from concept to reality much faster.

Digital twins will be really more and more used in many fields such as building management, healthcare, smart cities, oil and gas, smart buildings and much more. It is clear that since digital twins provide comprehensive data on the usage of products and customer preferences, in addition to training, service teams, engineers, designers and so on, marketing will also be involved.

Almost all analysts have included digital twin technology in their lists of important technology trends of 2018 and beyond.

By 2019, it is expected that half of all manufacturers will work directly with customers and consumers on improved stove of products through cloud crowdsourcing. By the end of 2019, it is also expected that a quarter of the technical and information workers will be using augmented reality, which will revolutionise the role of field specialists who, inter alia, will use superimposing images.

Organisations will first simply implement digital twins and then develop them over time, improving capacity to collect and visualise the relevant data, apply the right analytics and respond effectively to business objectives. 

This capability to simulate complex products and systems in their working environments offers a strong value proposition. Business can influence net profits by reducing operating costs, and many customers say that using proven digital twins in their operations can increase the efficiency by up to 20 percent and reduce maintenance costs.

          The twin simulations are a breathtaking breakthrough. We will see the emergence of more and more twin sizes as the industry continues to innovate and develop. 

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