DATA CENTER THERMAL MANAGEMENT
First Claim
1. A method of data center thermal management, comprising:
- receiving historical high-spatial-resolution temperature data;
deriving 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 dynamic temperature sensor measurement data in real-time measured by a plurality of sensors at respective plurality of sensor locations;
calibrating 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 sensor temperature data at said plurality of sensor locations for a future time based on the calibrated dynamic temperature sensor measurement data;
generating a three-dimensional temperature spatial distribution associated with the future time based on the forecasted sensor temperature data and the first formulation;
projecting the three-dimensional temperature spatial distribution associated with the future time to a two-dimensional temperature distribution; and
forecasting temperature in the future time for a selected space location dynamically based on said two-dimensional temperature distribution.
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Accused Products
Abstract
Historical high-spatial-resolution temperature data and dynamic temperature sensor measurement data may be used to predict temperature. A first formulation may be derived based on the historical high-spatial-resolution temperature data for determining a temperature at any point in 3-dimensional space. The dynamic temperature sensor measurement data may be calibrated based on the historical high-spatial-resolution temperature data at a corresponding historical time. Sensor temperature data at a plurality of sensor locations may be predicted for a future time based on the calibrated dynamic temperature sensor measurement data. A three-dimensional temperature spatial distribution associated with the future time may be generated based on the forecasted sensor temperature data and the first formulation. The three-dimensional temperature spatial distribution associated with the future time may be projected to a two-dimensional temperature distribution, and temperature in the future time for a selected space location may be forecasted dynamically based on said two-dimensional temperature distribution.
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Citations
22 Claims
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1. A method of data center thermal management, comprising:
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receiving historical high-spatial-resolution temperature data; deriving 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 dynamic temperature sensor measurement data in real-time measured by a plurality of sensors at respective plurality of sensor locations; calibrating 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 sensor temperature data at said plurality of sensor locations for a future time based on the calibrated dynamic temperature sensor measurement data; generating a three-dimensional temperature spatial distribution associated with the future time based on the forecasted sensor temperature data and the first formulation; projecting the three-dimensional temperature spatial distribution associated with the future time to a two-dimensional temperature distribution; and forecasting temperature in the future time for a selected space location dynamically based on said two-dimensional temperature distribution. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer readable storage medium storing a program of instructions executable by a machine to perform a method of data center thermal management, comprising:
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receiving historical high-spatial-resolution temperature data; deriving 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 dynamic temperature sensor measurement data in real-time measured by a plurality of sensors at respective plurality of sensor locations; calibrating 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 sensor temperature data at said plurality of sensor locations for a future time based on the calibrated dynamic temperature sensor measurement data; generating a three-dimensional temperature spatial distribution associated with the future time based on the forecasted sensor temperature data and the first formulation; projecting the three-dimensional temperature spatial distribution associated with the future time to a two-dimensional temperature distribution; and forecasting temperature in the future time for a selected space location dynamically based on said two-dimensional temperature distribution. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A system for data center thermal management, comprising:
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a knowledge-base including a first formulation built based on historical high-spatial-resolution temperature data, the first formulation for determining a temperature at any point in 3-dimensional space as a function of physical observables; a calibration module for calibrating dynamic temperature sensor measurement data measured by a plurality of sensors at respective plurality of sensor locations, the calibrating performed based on a calibration model using the historical high-spatial-resolution temperature data and sensor temperatures at a corresponding historical time and location; a first forecast module for forecasting sensor temperature data at said plurality of sensor locations for a future time based on the calibrated dynamic temperature sensor measurement data; a second forecast module for generating a three-dimensional temperature spatial distribution associated with the future time based on the forecasted sensor temperature data and the first formulation, the second forecast module further projecting the three-dimensional temperature spatial distribution associated with the future time to a two-dimensional temperature distribution, the second forecast module further for forecasting temperature in the future time for a selected space location dynamically based on said two-dimensional temperature distribution. - View Dependent Claims (20, 21, 22)
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Specification