Visual Intelligent Monitoring Technology of Data Center Based on SSD Algorithm

As a new digital infrastructure, data center is the key to the transformation and upgrading of power grid to energy Internet. With the continuous expansion of data center scale and the increase of operation and maintenance personnel, the traditional video monitoring mode relying on manual observation is difficult to meet the increasingly complex operation and maintenance needs. This paper mainly studies the application of artificial intelligence technology in the field of intelligent security. It uses the deep learning model to identify the operation and maintenance personnel in the data center, and optimizes the network layers and window parameters of SSD (Single Shot Multi-Box Detector) algorithm to improve the operation efficiency and intelligent level of video monitoring. The experimental results show that the visual intelligent monitoring technology of the data center constructed in this paper has good target recognition performance, and effectively improves the security level of the daily management of the data center.