IP Library › Granted Patent US 9,958,916
Granted Patent B2
US 9,958,916 · App. 14/849,953 · Granted May 1, 2018

Temperature management system

Inventors: Masatoshi Ogawa (Isehara, JP); Hiroshi Endo (Isehara, JP); Hiroyuki Fukuda (Yokohama, JP); Masao Kondo (Sagamihara, JP)
Assignee: FUJITSU LIMITED
G06F1/206G05B15/02G05D23/1931G06F1/325H01L23/34H01L23/467H05K7/20745H05K7/20836H01L2924/0002Y02D10/16
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Quick Facts
Patent No.
US 9,958,916
App. No.
14/849,953
Granted
May 1, 2018
Kind
B2
Abstract

A temperature management system includes: a first temperature detection unit configured to detect a temperature of a heat generation component in an electronic device; a cooling apparatus configured to circulate air in the electronic device and to cool the heat generation component; a second temperature detection unit configured to detect a temperature of air flowing in the electronic device; a parameter setting unit configured to set a target value of the temperature of the heat generation component; and a control unit. The control unit calculates a predicted value of a future temperature of the heat generation component based on the outputs of the first temperature detection unit and the second temperature detection unit, and the power consumption of the electronic device, and determines a manipulated variable of the cooling apparatus based on the predicted value and the target value.

Claims (52)

1. A temperature management system comprising:

a first temperature sensor configured to detect a temperature of a heat generation component in an electronic device;

a cooling apparatus that includes a fan, the fan being configured to circulate air in the electronic device and to cool the heat generation component;

a second temperature sensor configured to detect a temperature of air flowing in the electronic device;

a parameter setting unit that includes a memory, the memory being configured to set a target value of the temperature of the heat generation component; and

a control unit including a processor that is coupled to the memory, the processor being configured to:

determine a highest temperature of the heat generation component as a high level temperature from an output of the first temperature detection unit—

employ a disturbance model to express a power consumption of the electronic device as unobservable disturbance based on a change in the high level temperature;

calculate a predicted value of a future temperature of the heat generation component based on outputs of the first temperature detection unit and the second temperature detection unit, and the power consumption of the electronic device;

employ a cost function to calculate a cost by assigning a weight to a deviation between the predicted value and the target value;

calculate a manipulated variable that satisfies a preset constraint condition and minimizes the cost within a predetermined period from present to future;

employ a prediction model to calculate the predicted value of the future temperature of the heat generation component based on the temperature of the air flowing in the electronic device, the manipulated variable, and the power consumption of the electronic device;

estimate an operational state of the electronic device using the disturbance model and the prediction model;

correct the predicted value using the estimated operational state and a difference between a past high level temperature and a past predicted value; and

determine a manipulated variable of the cooling apparatus based on the predicted value corrected and the target value, wherein

an operation of the cooling apparatus is controlled based on the manipulated variable.

2. The temperature management system according to claim 1 , wherein the processor is configured to:

detect the power consumption of the electronic device, wherein

the detected power consumption of the electronic device is used in the employed prediction model.

3. The temperature management system according to claim 2 , wherein the processor is configured to:

determine a highest power consumption of the electronic device as a high level power consumption from the detected power consumption of the electronic device.

4. The temperature management system according to claim 3 , wherein the processor is configured to:

calculate the predicted value of the future temperature of the heat generation component based on the temperature of the air flowing in the electronic device, the manipulated variable, and the high level power consumption and

correct a current predicted value using a difference between a past high level temperature and a past predicted value.

5. The temperature management system according to claim 1 , wherein the processor is configured to:

detect a pressure difference between an intake surface side and an exhaust surface side of the electronic device; and

use the detected pressure difference when predicting the temperature of the heat generation component.

6. The temperature management system according to claim 1 , wherein the cost function includes a target value following parameter to make a controlled variable shift to the target value, a manipulated variable reduction parameter to make a change amount in the manipulated variable shift to 0, and a manipulated variable change range parameter to make the manipulated variable shift to a target manipulated variable.

7. The temperature management system according to claim 1 , wherein

the electronic device is a computer housed in a rack, and

the heat generation component is a CPU.

8. The temperature management system according to claim 7 , wherein a plurality of the electronic devices are housed in the rack.

9. The temperature management system according to claim 8 , wherein

the rack is disposed in a structure provided with an intake vent and an exhaust vent that communicate with outdoors, and

the cooling apparatus supplies air into the electronic device, the air being introduced into the structure through the intake vent.

10. A temperature management system comprising:

a first temperature sensor configured to detect a temperature of a heat generation component in an electronic device;

a cooling apparatus that includes a fan, the fan being configured to circulate air in the electronic device and to cool the heat generation component;

a second temperature sensor configured to detect a temperature of air flowing in the electronic device;

a memory; and

a processor coupled to the memory, the processor being configured to:

set, in the memory, a target value of the temperature of the heat generation component;

determine a highest temperature of the heat generation component as a high level temperature from an output of the first temperature detection unit;

employ a disturbance model to express a power consumption of the electronic device as unobservable disturbance based on a change in the high level temperature;

calculate a predicted value of a future temperature of the heat generation component based on outputs of the first temperature detection unit and the second temperature detection unit, and the power consumption of the electronic device;

employ a cost function to calculate a cost by assigning a weight to a deviation between the predicted value and the target value;

calculate a manipulated variable that satisfies a preset constraint condition and minimizes the cost within a predetermined period from present to future;

employ a prediction model to calculate the predicted value of the future temperature of the heat generation component based on the temperature of the air flowing in the electronic device, the manipulated variable, and the power consumption of the electronic device;

estimate an operational state of the electronic device using the disturbance model and the prediction model;

correct the predicted value using the estimated operational state and a difference between a past high level temperature and a past predicted value; and

determine a manipulated variable of the cooling apparatus based on the predicted value corrected and the target value, wherein

an operation of the cooling apparatus is controlled based on the manipulated variable.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 17, 2015
From: OGAWA, MASATOSHI; ENDO, HIROSHI; FUKUDA, HIROYUKI; KONDO, MASAO
To: FUJITSU LIMITED
Reel/Frame 036592/0497 →
Continuity (2)
Continuation PCTJP2013057595 · Mar 18, 2013
Related Publication 20150378404A1 · Dec 31, 2015