A Computer System Operation and Maintenance Interaction Platform Based on Artificial Intelligence

Abstract

To address the challenge of inefficient data management in computer operation and maintenance across various scales, the author suggests an artificial intelligence-driven platform for computer system operation and maintenance interaction. A computer operation and maintenance management approach has been devised, leveraging artificial intelligence technology. This method entails the segmentation of the computer operation and maintenance structure to efficiently manage signals transmitted by computers, ensuring swift signal transmission. With the integration of artificial intelligence, the approach achieves superior space utilization and data throughput. By comparing past computer operation and maintenance management methods. The experimental results show that the maximum space saving percentage can reach 75%, and the minimum is also higher than 40%. The throughput is the highest at various data scales, with an average throughput of 704.67 MB/s. The higher the average throughput value, the higher the management efficiency. Conclusion: Computer operation and maintenance management methods based on artificial intelligence technology have better management effects, can better save space, and improve management efficiency.