Performance evaluation and optimization of distributed collaborative operation and maintenance control platform based on information processing

Aiming at the problems of data isolation, poor real-time performance, low efficiency, and lack of intelligent cooperation in traditional operation and maintenance, this paper proposes a distributed cooperative operation and maintenance control platform based on information processing. Through the steps of data distributed collection, pre-processing, fusion analysis, and dynamic resource allocation, the data processing efficiency, system response speed, resource utilization, and decision accuracy are significantly improved. The experimental results show that compared with the traditional method, the platform improves the data processing efficiency to 500GB/hour, the system response time to 2 s, the resource utilization rate to 68.75%, and the decision accuracy to 90%, which significantly enhances the intelligence and real-time of operation and maintenance control.