Patent ID: 9258932
Filing Date: 2016-02-09
CPC Classification: G01K,G06F,G06Q,H05K,Y02D

Claim Text:
1. A method of data center thermal management, comprising: receiving, by a processor, historical high-spatial-resolution temperature data; deriving, by the processor, a first formulation based on the historical high-spatial-resolution temperature data for determining a temperature at any point in 3-dimensional space as a function of physical observables; receiving, by the processor, dynamic temperature sensor measurement data in real-time measured by a plurality of sensors at respective plurality of sensor locations; calibrating, by the processor, the dynamic temperature sensor measurement data based on a calibration model using the historical high-spatial-resolution temperature data and sensor temperatures at a corresponding historical time and location; forecasting, by the processor, sensor temperature data at said plurality of sensor locations for a future time based on the calibrated dynamic temperature sensor measurement data; generating, by the processor, a three-dimensional temperature spatial distribution associated with the future time based on the forecasted sensor temperature data and the first formulation; projecting, by the processor, the three-dimensional temperature spatial distribution associated with the future time to a two-dimensional temperature distribution, wherein the projecting comprises determining temperature in the future time of a location having x and y-coordinates of a sensor location and z-coordinate corresponding to a height dimension of a selected space location, for the plurality of sensor locations respectively; and forecasting, by the processor, temperature in the future time for the selected space location dynamically based on said two-dimensional temperature distribution, wherein the processor is coupled to a network of sensors comprising the plurality of sensors, and a client device controls data center temperature based on the forecast temperature in the future time, wherein the forecasting sensor temperature data comprises generating a time series forecasting model to predict said sensor temperature data at said plurality of sensor locations for the future time, wherein the time series forecasting model is generated at a respective location of said plurality of sensor locations using only temperature measurements collected by a sensor at the respective sensor location, wherein the time series forecasting model comprises: wherein y*(s y* represents predicted temperature, s h t represents time, ε