The invention provides a
data center energy-saving
refrigeration method and device based on a
power consumption-load-pressure prediction model, and the method comprises the steps: deploying a heterogeneous sensor network in the whole domain of a
data center, collecting the
original data of rack-level
power consumption,
server load and environmental parameters, and
processing the
original data to obtain a standardized
time series data set; and synchronously constructing a
power consumption prediction sub-model, a load prediction sub-model and a pressure prediction sub-model based on the
time sequence data set, realizing feature crossing by sharing a
hidden layer, and predicting joint probability distribution of power consumption, load and temperature of each rack in a future adjustment period. According to the method, a
coupling prediction framework of a power consumption-load-pressure three-sub-
model sharing hidden layer is constructed, so that deep crossing and closed-loop constraint of multi-
physical field features are realized; and the thermodynamic similarity and the
physical space connectivity of the rack are organically fused, so that precise division and physical feasibility of the
refrigeration area are ensured, the
internal temperature standard deviation of the area is effectively reduced, and the
refrigeration resource matching degree is improved.