Next Gen Technology – Digital Twin

Next Gen Technology – Digital Twin

Here, we are going to learn something that will dominate the technology world in the near future. In addition, how to construct it, where it is utilized, and ongoing research updates relating to it are offered for your up-to-date understanding.

What’s the most valuable commodity we have in today’s modern world? The answer is TIME. We strive to spend less time on unnecessary actions, automating repetitive processes, and speeding up how we discover solutions. Businesses are losing billions on wasted opportunities or have passed the point of no return for structural and product changes. The size of the company is correlated with the complexity of the Product Life Cycle (PLC) they have. Highly automated manufacturing machines are tightly connected with human processes, supply chains, and logistics. Global industrial leaders are searching for solutions that help them manage, control, support, and develop competitive products. The key lies in the Internet of Things (IoT) and the technology which is lies in this article.

Imagine being able to replicate a system and, through doing this, possibly predict its future. Are you able to identify the technology? The technology is Digital Twin, as you correctly said.

A digital twin is a digital representation of a physical object, process or service. A digital twin can be a digital replica of an object in the physical world, such as a jet engine or wind farms, or even larger items such as buildings or even whole cities.

 Understanding Product Performance

Digital twins give businesses an unprecedented view into how their products perform. A digital twin can help identify potential faults, troubleshoot from afar, and ultimately improve customer satisfaction. It also helps with product differentiation, product quality, and add-on services, too.

If you can see how customers are using your product after they’ve bought it, you can gain a wealth of insights. That means you can use the data to (if warranted), safely eliminate unwanted products, functionality, or components, saving time and money.

Why and How to Design Digital Twins?

The digital twins can be created for a wide range of applications, for example, to test a prototype or design, assess how a product or process will work under different conditions, and determine and monitor lifecycles.

A digital twin design is made by gathering data and creating computational models to test it. This can include an interface between the digital model and an actual physical object to send and receive feedback and data in real time.


A digital twin requires data about an object or process in order for a virtual model to be created that can represent the behaviors or states of the real world item or procedure. This data may relate to the lifecycle of a product and include design specifications, production processes or engineering information. It can also include production information including equipment, materials, parts, methods and quality control. Data can also be related to operation, such as real-time feedback, historical analysis and maintenance records. Other data used in digital twin design can include business data or end-of-life procedures.


Once the data has been gathered it can be used to create computational analytical models to show operating effects, predict states such as fatigue, and determine behaviors. These models can prescribe actions based on engineering simulations, physics, chemistry, statistics, machine learning, artificial intelligence, business logic or objectives. These models can be displayed via 3D representations and augmented reality modelling in order to aid human understanding of the findings.


The findings from digital twins can be linked to create an overview, such as by taking the findings of equipment twins and putting them into a production line twin, which can then inform a factory-scale digital twin. By using linked digital twins in this way it is possible to enable smart industrial applications for real world operational developments and improvements.

Research Perspective of Digital Twin

Researchers can explore in the following areas to gather more interesting benefits of the digital twin.

  1. Digital Twins in Metaverse
  2. AWS IoT TwinMaker
  3. Digital human twin

1.Digital Twins in Metaverse

The metaverse is rapidly expanding, and with that, several companies are responding by preparing for the virtual world. Whether they’re building virtual headquarters, factories, retail stores or products, companies are beginning to invest in digital twins of their entities in anticipation of the metaverse continuing to gain traction across the business landscape.

Since the invention of the internet, companies have had to adapt to the changing digital times with new technologies and new circumstances. The metaverse is no different, and while it may be difficult to wrap your head around, taking the time to learn about digital twins and how they fit into virtual reality can be very beneficial.

The metaverse itself acts as a digital twin to our universe and our reality, and what’s inside are more digital twins of tangible things that will eventually be used for transactions and optimizing business processes.

2. AWS IoT TwinMaker

Amazon Web Services IoT TwinMaker has capabilities for each stage of the digital twin building process: collecting data from diverse data sources using connectors (components), connecting to data where it lives to represent your digital twins, and combining existing 3D visual models with real-world data using a scene composition tool, and building web-based applications using a plug-in for Grafana and Amazon Managed Grafana that you can use to create dashboards.

With AWS IoT TwinMaker, customers can now derive previously unavailable insights about their operations that inform real-time improvements to their buildings, factories, industrial equipment, and production lines and make accurate predictions about system behavior with minimal effort.

AWS IoT TwinMaker is currently available in the US East (N. Virginia), US West (Oregon), Europe (Ireland and Frankfurt), and Asia Pacific (Singapore and Sydney) regions.

3.Digital Human Twin

Digital Twin in Healthcare

The future of healthcare needs to be built on early detection of disease – ideally even before any symptoms appear. But that’s easier said than done. How do you know which tests to do – and when? Regular thorough check-ups are only feasible for wealthy individuals who can afford to pay. And, even then, a disease could develop for months unnoticed in between check-ups.

The answer could lie in digital twin technology. If we each had a virtual representation of ourselves, including all our organs, in the form of a digital human twin, that virtual “being” could be constantly monitored to detect the very earliest signs of disease and automatically alert the healthcare system – stopping most diseases in their tracks.

How it works in healthcare?

Now attention is turning to the use of digital twin technology in healthcare. It holds the promise of making it easier to personalize medical treatment based on factors such as an individual’s unique genetic make-up, anatomy and behavior. The technology could also unlock more accurate monitoring of medical devices – and even model healthcare organizations to improve the way they deliver care.

Digital Human Twin

But a crucial step is to move towards detecting diseases as early as possible – by building a digital human twin. This needs a wide range of sensors to capture a variety of data points such as digital (sound, image, etc.), biophysical (blood, saliva, etc.) and behavioral (emotional state, language, etc.). These data points then need to be aggregated into a dynamic digital human twin that can monitor your health and alert the healthcare system as soon as something changes.

Digital human twins may sound like science fiction – but we actually already have all the right ingredients today.