Multimedia Information Management and Control of University Laboratory Based on Intelligent Scene in Data Edge Computing

With the rapid development of computer technology, the multimedia information management in university laboratory has become an important aspect to improve the effect of laboratory teaching. How to manage the university laboratory multimedia information reasonably and efficiently is an important and urgent task. Therefore, this paper would use edge computing to build a multimedia information management and control system based on intelligent scenes, improve the utilization rate of multimedia information resources, and compare the system built in this paper with the system built based on deep learning algorithm. It can be found that the utilization rate of the multimedia information system resources constructed in this article was over 95%, while the utilization rate based on deep learning algorithms was below 92%. Meanwhile, research on the response speed of system modules also indicated that the system studied in this paper had good performance. The response time of each module of the system based on edge computing was shorter than that of each module of the system based on deep learning algorithm. Therefore, the system constructed based on the edge calculation method has good performance, which plays an important role in promoting the efficient management of multimedia information in university laboratories.