Digital Twins: From Industry to Everyday Life
Abstract
Digital twins are virtual replicas of real-life objects or systems, created to simulate their behavior, predict their performance, and optimize processes. Powered by real-time data from sensors and IoT, and supported by 3D modeling and artificial intelligence, they have expanded from heavy industry to sectors such as healthcare, smart cities, and homes. This technology enables predictive maintenance, improved energy efficiency, personalized services, and reduced costs and risks. Although their implementation faces challenges such as data privacy, high initial costs, and the technology gap, they are expected to become even more integrated into everyday life in the future.
References
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Loaiza, J.H., y Cloutier, R.J. (2022). Analyzing the implementation of a digital twin manufacturing system: Using a systems thinking approach. Systems, 10(2), 22. https://doi.org/10.3390/systems10020022
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