The application discloses a kind of big computing power
data center failure early warning intelligent
response method, it is related to alarm
system technical field;Including the following steps: deployment distributed sensor network and monitoring agent, collect hardware, environment, power,
network parameter, dynamic adjustment acquisition frequency;Data is handled using filtering, normalization technique, in combination with
algorithm to identify abnormal points, generate standardized dataset;Depth learning model is constructed, match fault type, divide early warning level, dynamically optimize threshold value;Establish fault and response mapping
library, match load migration and other measures, support priority ordering through
industrial ethernet to issue instructions, realize multi-device cooperation, feedback execution status;Compare parameters before and after failure, evaluate effectiveness, trigger secondary response.The application realizes multi-dimensional fault accurate early warning, response is fast and efficient, and the ability of cross-device cross-region collaborative linkage is strong, model self-optimization iteration continuously improves performance, reduces business interruption and secondary fault, reduces operation and maintenance cost.