As technology , which started out and continuously progressed with the intentions of solving mankind’s various struggles, progressed further and changed our lives, it also changed the structure of our problems. The sufficiency of end products that are being put forward and other potential solutions are being questioned. The problem evolves into finding the best and the most rational solution rather than just finding any solution. Based on this layout, making the future more foreseeable carries great importance in the name of minimizing potential setbacks and reaching the ideal situation. Dijital twins, which is the topic of this essay, is highlighted in this particular context.
What is Digital Twin?
Digital Twin can be defined as creating a copy of a product or service on a digital space, without any physical presence. Sensors which are integrated into material objects, gather data on the different factors which affect the performance of the object. Collected data gets transferred onto a processing system and gets processed as the input of the digital model. Creation of this digital twin plays significant role on understanding, analysing and optimization process of the object. This means not only we can analyse the current performance of the object and make correct assumptions about its future but also detect possible problems that can occur and improve performance long before production actually starts. Through this way, more time and money can be saved.
History of the Digital Twin Technology
First theoretical mention of the digital twin technology emerged from a book called David Gelernter’s Mirror worlds in the year 1991. But the application of it was developed for the Matching Theory of NASA by Dr Michael Grieves and formally announced in 2002 as the digital twin software. In year 2010, NASA introduced the concept of ‘’digital twin’’ through John Vickers. The technology of digital twin is widely considered as the product of the fourth industrial revolution. Industry giants like Microsoft, IBM, General Electric. Tesla, etc are in the process of developing the digital twin technology and directing the fourth industrial revolution.
Usage Areas of the Digital Twin
Digital twin technology is used in industries such as space tech, construction, health, aviation, automotive and public service. Inspection of Infrastructure services in real time is one of the areas that the technology of digital twin is actively used.
The expanding market of the digital twin guarantees an upward trend in the global market as IoT and big data analytics continues to progress.
Advantages and Risk Factors of the Digital Twin
With the usage of digital twins, a wide variety of data on performance results can be obtained before production starts. This collection of data helps to create insight for malfunctions in production and may help to lower potential cost overall by designing products more sufficiently. Even in the production state of the product systems are visible in real time so that high productivity can be ensured through the entire process. Moreover, with the help of this technology it can be concluded how to evaluate products that are no longer in use. Processes that carry risks on every stage can be simplified, more time can be saved, physical labor can be minimised and most suitable tools can be picked to get better use out of them.
Digital twins can be complicated for simple problems. They not only carry risks related to finances and integration processes, but also always run the risk of a security breach.
What is the Difference Between the Digital Twin and Simulation?
Just like the digital twin, simulations to benefit from digital models to imitate the various processes of systems. But while simulations can only analyze a specific process, digital twin can create and manage simulations on multiple processes. Digital twins ability to inspect multiple processes that are continuously updated, makes it possible to detect problems and better evaluate them from many different perspectives compared to simulations.