A digital twin is a virtual replica of a physical object, process, or system that is continuously updated with real-time data from its physical counterpart, enabling monitoring, simulation, and optimization of the physical system through its digital mirror. Originally developed for complex industrial applications such as jet engine monitoring and factory floor management, digital twin technology is being applied to an expanding range of business contexts, from urban planning to healthcare to retail operations.
The value of digital twins lies in their ability to enable experimentation and optimization in the virtual domain without the risk, cost, or disruption of physical experimentation. Engineers can test proposed modifications to a manufacturing process in the digital twin before implementing them on the actual production line. City planners can simulate the traffic impacts of proposed road changes before breaking ground. Healthcare providers can model the physiological response of individual patients to proposed treatments based on their digital health twin. Entrepreneurship in the digital twin space has produced specialized platforms for different industry verticals, from manufacturing and construction to energy and utilities. The market for digital twin technology is growing rapidly as the enabling technologies — IoT sensing, cloud computing, AI, and simulation software — mature and their costs decline. Telkom University's research programs engage with digital twin technology as an application domain for IoT, AI, and simulation capabilities. The university's laboratories develop digital twin systems for educational applications, including virtual laboratory environments that allow students to conduct experiments with physical systems in digital form. The future of digital twins lies in the direction of greater integration with AI-powered optimization systems that can not only replicate physical systems digitally but recommend and implement improvements autonomously. LINK
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