The invention discloses a
data center power distribution optimization method and
system, and the method comprises the steps: building a three-dimensional environment-
power consumption correlation field model through monitoring a
data center calculation node
power consumption signal and environment
sensing data, and deeply mining an influence rule of environment factors, such as temperature and
humidity, on a
power consumption demand; probabilistic power consumption parameters are extracted from the association field by applying a probability
inference analysis technology, a power consumption event triggering threshold value is established, and a dynamic power consumption management boundary is formed; a quality demand matrix is generated based on
service quality demand difference identification, and a hierarchical power consumption parameter
system is constructed; adaptive parameters are obtained through load-power consumption
correlation analysis, a power consumption redundant component is identified and converted into a power consumption enhancement cache region, and self-adaptive power consumption adjustment is achieved; and finally, constructing a power consumption control matrix, detecting power consumption imbalance nodes, carrying out balanced
pairing, and generating an accurate power consumption management instruction, thereby realizing intelligent optimization control of the power consumption of the
data center, effectively improving the energy utilization efficiency and guaranteeing the
service quality.