Optimization Algorithm for Centralized Control System of Conference Equipment Based on Artificial Intelligence

With the rapid growth of technology, the era of network information has led to an increasing demand for communication among people, and the means of communication have also undergone earth shaking changes. To meet the various forms of international and domestic conference exchange needs, major enterprises around the world have introduced various advanced multimedia intelligent conference equipment and created various forms of conference halls. However, with the continuous growth of mainstream multimedia conferences, equipment maintenance issues, human-computer interaction issues, and resource utilization issues have gradually become prominent, becoming key factors that constrain conference efficiency and experience. In order to effectively address these challenges, this article proposes an optimization algorithm for a centralized control system of conference equipment based on artificial intelligence (AI). This algorithm utilizes advanced technologies such as deep learning (DL) and the Internet of Things (loT) to achieve automatic recognition, configuration, status monitoring, and intelligent scheduling of conference equipment. By collecting and analyzing device and user data in real-time, algorithms can automatically optimize device settings, improve human-computer interaction efficiency, and allocate device resources reasonably to ensure the smooth progress of meetings. The experimental results show that the algorithm can significantly improve the management efficiency and user experience of conference equipment.