5 Exciting Applications of Digital Twin Technology
To recap from our previous post “What is Digital Twin Technology?”, a digital twin is a digital replica of a physical system or object used to CREATE model-driven decisions. We also talked about its origin, definitions, working methodologies, and an overview of its applications. In this article, we are going deep into those applications and see what makes this technology so exciting. Briefly, we can define a digital twin as a virtual simulation or a digital prototype of computer-driven applications such as gadgets or devices, human interactions, operations, or systems. It has t wo components — an enabling technology and the simulation model.
In the manufacturing sector, a digital twin can create simulations to track the entire production from raw materials to the end product alongside offering a searchable production record. It offers robust functionality and helps businesses to replay complex production sequences to understand historical events and predict future occurrences. The technology assists manufacturers to pause, rewind, and fast forward a visualization of manufacturing processes. Consequently, the culmination offers a real-time, connected monitoring and recording system capable of reporting anything on the production floor and the production line. It also empowers supervisors to prioritize and optimize operations and take a confident guess at upcoming problems. It is also cited as a crucial step for Industry 4.0 and is the next step to achieving the smart factories of the future.
Some of the examples include Sage Clarity’s ABLE Digital Twin application for manufacturing is built to monitor processes, detect downtime, and predict performance, Plataine’s use of Artificial Intelligence and IoT technologies to help its customer in their transition to fully digitalized manufacturing, and a Simio Digital Twin that can be deployed to achieve optimized production scheduling and capacity planning, resulting in reduced operational costs, increased on-time delivery, and the agility to reschedule when shop floor events derail production.
The AR/VR integration helps users to dive into the digital twin world. This provides a sensory feeling that makes the complexities of the digital twin more understandable. If you’re physically close to a system, your digital twin will overlay, see the inner workings of the machine and understand the flow of its data. This makes decision-making quicker and more effective. Furthermore, users can increase performance and total output with the inclusion of machine learning algorithms and AI in combination.
For Instance, Arvizio’s AR digital twins improve planning, inspections, maintenance, and product development by giving customers the ability to visualize and interpret AR data both on-site and remotely. The Arvizio XR Platform enables visualization of digital twins at table-top or life-size and supports remote 3D collaboration across a wide range of XR devices including HoloLens 2, Magic Leap, iPhone, iPad, and Android phones and tablets.
Digital twins help health care professionals be more effective, predictive and deliver customized services from clinical trials to integrated care. In the health sector, several rounds of testing are required for new medications, medication regimes, and operating procedures. But it takes time, is difficult, and in some cases, it’s difficult to deal with human patients. In this case, the digital twin system simplifies the operations and makes it safe and effective.
Unlearn.ai creates Digital Twins which are used to populate Intelligent Control Arms in clinical studies. Performing beforehand on simulation eliminates trial and error on participants, frees up time, and overall results in faster enrollment periods and efficient trials. The year also marks a collaboration between NTT Research and NCVC to create a heart and vascular models that will include neural control of the circulation, as well as heart energetics.
A digital twin will help project managers visualize how a building works in real-time and helps them to increase performance. For planning and construction of future buildings, data obtained from Digital Twin can be used. The model prediction will monitor the approach and determine, starting with the current building situation, on the basis of forwarding simulation. Managers then can evaluate multiple action paths and measure their possibilities and the resulting cost functions in order to make the right option for the next steps.
In the mid-last year, Cityzenith released its SmartWorldPro2, the go-to planning building, and operational management tool for architects, contractors, and asset managers around the world. Its previous iteration offered 3D virtual replicas of physical buildings and infrastructure connected to the data in and around them and is widely used to optimize their design, construction, and performance over the entire lifecycle.
Resonai’s Vera embeds intelligence into the physical environment to enable communication between any device or agent and its environments. With Vera, devices become context-aware with unparalleled capabilities in positional tracking & semantic understanding, making them much smarter and more useful.
In retail, a digital twin can be connected to embedded sensors to obtain data for financial analysis and projection. This will help businesses to strengthen their forecasts, change prices, or have customer-specific opportunities. Further, a digital twin’s application in retail extends to self-checkout models, supply chain administration, business forecasting, brand strategy, queue management, and much more.