Campus intelligent decision system based on digital twin

This paper presents a Unity engine-based digital twin intelligent decision-making system for campuses, aiming to improve campus management efficiency and student experience. The system combines shapefile information and tilt-shot fusion technology to achieve 3D reconstruction of campus buildings and environments, creating a digital twin model. For intelligent decision-making, we simulated a virtual energy environment and applied a reinforcement learning algorithm to address real-world energy decision challenges. Concurrently, IoT technology is used to monitor campus devices and resources, including energy utilization, security, and environmental quality. The integrated data is presented through a visual and interactive interface for real-time monitoring and management of campus resources by administrators and students. This system enhances resource utilization efficiency, sustainability, and security, showcasing the practical application of digital twin technology in modernizing campus management and improving the student experience in institutions.