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The rapid development of the smart home industry is accompanied by various challenges such as standardization, equipment compatibility, communication stability, network security, and device management. To address these issues, we propose a smart home system based on digital twin technology that includes wireless communication, intelligent algorithms, sensing, and security. Our system can simulate and predict the behavior of the real system, providing an efficient way to optimize performance. Using this framework, we design a smart lighting system that can intelligently adjust the lighting level and color temperature according to the user's preferences and the surrounding environment. Overall, the proposed system can help enhance device interoperability and user experience in the smart home.
Jingyi Wang (Mon,) studied this question.
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