is a virtual replica of physical devices. Data scientists and computer experts can use them to conduct simulations before building and implementing real-world devices. They also transform the optimization of technologies such as the Internet of Things, analytics, and artificial intelligence.
It combines the characteristics of both a physical object and a digital representation in a virtual space, allowing information to be transformed in real-time. This enables a constant update of the object and process status. This concept is not a new phenomenon. It all started with the Apollo 13 mission. When the spacecraft was damaged, decisions were made to replicate it in a simulator, enabling the development of crucial procedures for the rescue mission.
Through computer-aided design (CAD) systems, simulations, and 3D models are created. The technology acts as a proxy to connect specialists with traditional control and monitoring devices. Creating a Digital Twin largely accelerates the development of services. Tests and improvements are carried out on the new unit, preventing the company from the risk of failure and damage to the main product or service. It allows the analysis of hypothetical scenarios and helps choose the most optimal course of action.
With Digital Twin, companies can test and verify a product before it even exists in the real world. By replicating the planned production process, this technology enables engineers to identify any process failures before production begins. Engineers can disrupt the system’s operation to simulate unexpected scenarios, examine the system’s response, or identify appropriate strategies. This new feature improves risk assessment, accelerates the development of new products, and enhances the reliability of the production line. It allows users to remotely monitor and control system performance.
