Furthermore, users can increase performance and total output with the inclusion of machine learning algorithms and AI in combination.įor 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. This makes decision-making quicker and more effective.
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 provides a sensory feeling that makes the complexities of the digital twin more understandable.
The AR/VR integration helps users to dive into the digital twin world. 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. 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. It also empowers supervisors to prioritize and optimize operations and take a confident guess at upcoming problems. Consequently, the culmination offers a real-time, connected monitoring and recording system capable of reporting anything on the production floor and the production line. The technology assists manufacturers to pause, rewind, and fast forward a visualization of manufacturing processes. It offers robust functionality and helps businesses to replay complex production sequences to understand historical events and predict future occurrences. 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 has t wo components - an enabling technology and the simulation model. 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.
In this article, we are going deep into those applications and see what makes this technology so exciting. We also talked about its origin, definitions, working methodologies, and an overview of its applications. 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.
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