The integration of Artificial Intelligence (AI) and Internet of Things (IoT), known as AIoT, presents a transformative framework for modernizing campus IT operation and maintenance. This paper details the design of a ...The integration of Artificial Intelligence (AI) and Internet of Things (IoT), known as AIoT, presents a transformative framework for modernizing campus IT operation and maintenance. This paper details the design of a hierarchical AIoT architecture that leverages edge computing for real-time decision-making and cloud analytics for long-term optimization, achieving a higher system availability while reducing data transmission costs. The proposed system addresses critical challenges in traditional campus management such as energy inefficiency, reactive maintenance, and resource underutilization through intelligent applications like predictive resource allocation and environmental control. Furthermore, the design incorporates a robust, AI-driven cybersecurity framework and intelligent data processing paradigms, such as federated learning, which enhance maintenance efficiency and reduce false alarms. The transition to an AIoT-enabled campus is not merely a technological upgrade but a strategic shift towards a predictive, efficient, and sustainable operational model, fundamentally enhancing the management of university infrastructures.展开更多
文摘The integration of Artificial Intelligence (AI) and Internet of Things (IoT), known as AIoT, presents a transformative framework for modernizing campus IT operation and maintenance. This paper details the design of a hierarchical AIoT architecture that leverages edge computing for real-time decision-making and cloud analytics for long-term optimization, achieving a higher system availability while reducing data transmission costs. The proposed system addresses critical challenges in traditional campus management such as energy inefficiency, reactive maintenance, and resource underutilization through intelligent applications like predictive resource allocation and environmental control. Furthermore, the design incorporates a robust, AI-driven cybersecurity framework and intelligent data processing paradigms, such as federated learning, which enhance maintenance efficiency and reduce false alarms. The transition to an AIoT-enabled campus is not merely a technological upgrade but a strategic shift towards a predictive, efficient, and sustainable operational model, fundamentally enhancing the management of university infrastructures.
