智能视觉赋能通信机房运维新路径OA

To address the operational and maintenance challenges posed by the expansion in scale and increased complexity of communication equipment rooms,this paper designs a digital operation and maintenance software system to achieve intelligent and efficient security management.The system utilizes big data processing and intelligent image recognition technology,and based on deep learning algorithms,it conducts real-time analysis and multi-dimensional feature extraction of the room's surveillance video streams,establishing a closed-loop management mechanism that integrates anomaly detection,risk warning,and event response.The results show that the system can automatically monitor equipment status,environmental parameters,and personnel behavior,accurately identify anomalies,and push alerts in real time,enhancing the real-time and accuracy of operation and maintenance management..