Data center self-driven troubleshooting method and system based on WN-Spline baseline domain algorithm

The invention discloses a data center self-driven troubleshooting method and a system based on a WN-Spline baseline domain algorithm, and the method comprises the steps: building a time sequence monitoring data unified index library in a data center scene, carrying out the data cleaning, and building a data warehouse; establishing a time sequence model by adopting a WN-Spline baseline domain algorithm, and predicting a baseline domain of each monitoring index in the unified index library under a specified time window based on the data warehouse; and judging whether the monitoring indexes are abnormal or not based on the baseline domain of each monitoring index in the unified index library under the specified time window, and performing fault self-healing through a self-driven fault removal mechanism. According to the method, the nonlinear monitoring index baseline domain is dynamically generated by adopting the WN-Spline baseline domain algorithm based on massive historical monitoring data, anomaly judgment a