CN116931700B - Liquid cooling system and liquid cooling system control method - Google Patents
Liquid cooling system and liquid cooling system control method Download PDFInfo
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- 239000007788 liquid Substances 0.000 title claims abstract description 223
- 238000001816 cooling Methods 0.000 title claims abstract description 100
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000005265 energy consumption Methods 0.000 claims abstract description 379
- 230000017525 heat dissipation Effects 0.000 claims description 85
- 238000004364 calculation method Methods 0.000 claims description 12
- 239000000110 cooling liquid Substances 0.000 claims description 6
- 230000000694 effects Effects 0.000 abstract description 11
- 230000006870 function Effects 0.000 description 39
- 238000010586 diagram Methods 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 5
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- 230000008859 change Effects 0.000 description 3
- 238000004590 computer program Methods 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 239000002826 coolant Substances 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000020169 heat generation Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/16—Constructional details or arrangements
- G06F1/20—Cooling means
- G06F1/206—Cooling means comprising thermal management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2200/00—Indexing scheme relating to G06F1/04 - G06F1/32
- G06F2200/20—Indexing scheme relating to G06F1/20
- G06F2200/201—Cooling arrangements using cooling fluid
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
The invention provides a liquid cooling system and a control method of the liquid cooling system, the liquid cooling system comprises a liquid cooling device, a heat dissipating device, an electric quantity measuring unit and a control unit, wherein the liquid cooling device comprises a liquid bin body for accommodating a server main board, the liquid cooling system monitors the total energy consumption of the server in real time through the electric quantity measuring unit, and adjusts the rotation speeds of a liquid pump and a radiator in the heat dissipating device based on the total energy consumption of the server and the total energy consumption of the heat dissipating device, so that the rotation speeds of the heat dissipating device are adjusted according to the relation between the total energy consumption of the server and the total energy consumption of the heat dissipating device, and the effect of reducing the whole energy consumption of the liquid cooling system is achieved.
Description
Technical Field
The invention relates to the technical field of refrigeration, in particular to a liquid cooling system and a liquid cooling system control method.
Background
At present, the situation that a large-scale liquid cooling system is required to dissipate heat is more and more, for example, with the vigorous development of information technologies such as big data, internet and cloud computing, the data center is gradually developed to a large-scale and high-density direction as an essential infrastructure of the information technology, and the problem of heat generation of servers in the data center is also more and more prominent.
In order to solve the heating problem, at present, a plurality of data center machine rooms adopt a liquid cooling system to dissipate heat of a server, an electric control valve, a liquid pump, a fan and the like are arranged in the liquid cooling system, the opening of the electric control valve is controlled to adjust the liquid flow, and the rotation speeds of the liquid pump and the fan are adjusted to dissipate heat. However, in the working process of the liquid pump and the fan, the working rotation speed of the fixed model is usually used, which may cause the liquid pump and the fan to work in a high-energy-efficiency working state for a long time, resulting in high overall energy consumption of the liquid cooling system.
Disclosure of Invention
In view of this, the present invention provides a liquid cooling system and a liquid cooling system control method.
A first aspect of the present invention provides a liquid cooling system comprising:
The liquid cooling device comprises a liquid bin body for accommodating the server main board, and cooling liquid is filled in the liquid bin body;
The heat dissipation device is arranged outside the server and is communicated with the liquid cooling device through a pipeline, and the heat dissipation device comprises a liquid pump and a radiator; the liquid bin body, the liquid pump and the radiator are sequentially communicated to form a cooling circulation loop;
The electric quantity measuring unit is electrically connected with the server and the control unit and is used for measuring the real-time energy consumption of the server and reporting the real-time energy consumption to the control unit;
and the control unit is used for acquiring the total energy consumption of the server and the heat radiator, and adjusting the rotating speeds of the liquid pump and the heat radiator according to the total energy consumption of the server and the heat radiator.
A second aspect of the present invention provides a liquid cooling system control method applied to the liquid cooling system described above; the liquid cooling system control method comprises the following steps:
measuring the real-time energy consumption of the server through an electric quantity measuring unit;
constructing a real-time energy consumption function of a data center where the server is located according to the total energy consumption of the server and the total energy consumption of the heat dissipation device;
acquiring target total energy consumption of the heat dissipation device when the real-time energy consumption function is at a minimum value;
and respectively determining target rotating speeds of the liquid pump and the radiator based on the target total energy consumption, and adjusting the rotating speeds of the liquid pump and the radiator.
Compared with the prior art, the invention at least comprises the following beneficial effects:
The liquid cooling system provided by the invention comprises a liquid cooling device, a heat radiating device, an electric quantity measuring unit and a control unit, wherein the liquid cooling device comprises a liquid bin body for accommodating a server main board, the liquid cooling system monitors the total energy consumption of the server in real time through the electric quantity measuring unit, and adjusts the rotation speeds of a liquid pump and a radiator in the heat radiating device based on the total energy consumption of the server and the total energy consumption of the heat radiating device so as to adjust the rotation speeds of the heat radiating device according to the relation between the total energy consumption of the server and the total energy consumption of the heat radiating device, thereby realizing the effect of reducing the overall energy consumption of the liquid cooling system.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed.
Drawings
FIG. 1 is a functional block diagram of a liquid cooling system according to an exemplary embodiment of the present invention;
FIG. 2 is a schematic diagram of a liquid cooling system according to an exemplary embodiment of the present invention;
FIG. 3 is a schematic diagram of another liquid cooling system according to an exemplary embodiment of the present invention;
FIG. 4 is a schematic view of a combined mounting structure of a control unit and a liquid cartridge body according to an exemplary embodiment of the present invention;
FIG. 5 is another functional block diagram of a liquid cooling system according to an exemplary embodiment of the present invention;
FIG. 6 is a schematic diagram of an energy consumption profile according to an exemplary embodiment of the present invention;
FIG. 7 is a flow chart illustrating a method of controlling a liquid cooling system according to an exemplary embodiment of the present invention;
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings, wherein like reference numerals in the various drawings refer to the same or similar elements unless otherwise specified. Moreover, the embodiments described in the following exemplary examples are not intended to limit the present invention, and structural, methodological, or functional modifications made by one of ordinary skill in the art based on these embodiments are included within the scope of the present invention.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the invention. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination" depending on the context.
In order to make the present invention clearer and more concise, some technical terms mentioned in the present invention are explained as follows:
PUE (Power Usage Effectiveness, power usage efficiency), PUE = data center total energy consumption/IT equipment total energy consumption, wherein the data center total energy consumption includes IT equipment total energy consumption and energy consumption of refrigeration, power distribution and other systems, and the value is greater than 1, and the closer to 1, the less non-IT equipment energy consumption, namely the better the energy efficiency level.
Hereinafter, a liquid cooling system control method according to an embodiment of the present invention will be described in more detail, but the method is not limited thereto.
An embodiment of the present invention provides a liquid cooling system, as shown in fig. 1 and 2, and fig. 1 is a functional block diagram of a liquid cooling system according to an exemplary embodiment of the present invention. Fig. 2 is a schematic diagram of a liquid cooling system according to an exemplary embodiment of the present invention. The liquid cooling system comprises a control unit 10, an electric quantity measuring unit 40, a liquid cooling device 20 arranged in a server and a heat radiating device 30 which is arranged outside the server and is the same as the liquid cooling device through a pipeline, wherein the liquid cooling device 20 comprises a liquid bin body 21 for accommodating a server main board and cooling liquid 22 arranged in the liquid bin body; the heat dissipating device 30 includes a liquid pump 31 and a heat sink 32; the liquid bin 21, the liquid pump 31 and the radiator 32 are sequentially communicated to form a cooling circulation loop, and the cooling liquid 22 can circulate in the cooling circulation loop based on a pipeline so as to take away heat generated by the server main board.
The electric quantity measuring unit 40 is electrically connected with the server and the control unit 10, and the electric quantity measuring unit 40 is used for measuring the real-time energy consumption of the server and reporting the real-time energy consumption to the control unit 10; and a control unit 10, configured to obtain total energy consumption of the server and the heat dissipating device 30, and adjust rotational speeds of the liquid pump 31 and the heat dissipating device 32 according to the total energy consumption of the server and the heat dissipating device, where the total energy consumption after the rotational speeds of the liquid pump 31 and the heat dissipating device 32 are adjusted is lower than the total energy consumption before adjustment.
The control unit 10 may construct an energy consumption curve of the heat dissipation device in the server and the liquid cooling system by reporting the energy consumption data of the server and the energy consumption data and the operation data corresponding to the heat dissipation device 30 in real time, where the energy consumption curve may indicate the energy consumption change trend of the heat dissipation device and the server in different operation states, and further may further determine a rotation speed interval corresponding to the energy consumption of the heat dissipation device from the historical energy consumption data corresponding to the heat dissipation device based on the corresponding relationship between the energy consumption of the heat dissipation device and the operation data (such as rotation speed), and at this time, the historical energy consumption data of the corresponding heat dissipation device may be obtained according to the interval where the current total energy consumption of the server is located. For example, the total energy consumption of the current server is 105, the current energy consumption of the heat dissipating device is 120, the corresponding energy consumption interval of the server [100,110] and the corresponding energy consumption interval of the heat dissipating device [105-120], then in order to reduce the heat dissipating device, the operation parameters (such as the rotation speed) when the energy consumption of the heat dissipating device is less than 120 can be obtained, and the rotation speeds of the liquid pump and the heat dissipating device in the heat dissipating device can be adjusted based on the rotation speeds, so that the energy consumption of the heat dissipating device after the rotation speed adjustment is lower.
The liquid cooling system provided by the invention monitors the total energy consumption of the server in real time through the electric quantity measuring unit, and the control unit adjusts the rotating speeds of the liquid pump and the radiator in the radiator based on the total energy consumption of the server and the total energy consumption of the radiator, so that the rotating speed of the radiator is adjusted according to the relation between the total energy consumption of the server and the total energy consumption of the radiator, and the effect of reducing the overall energy consumption of the liquid cooling system is realized.
In some embodiments, referring to fig. 3, fig. 3 is a schematic diagram illustrating another liquid cooling system according to an exemplary embodiment of the invention. Under the scene that a set of liquid cooling system needs to radiate heat for a plurality of servers, the liquid bin body 5011 of the liquid cooling system is provided with an inlet and an outlet, the inlet of the liquid bin body is provided with a splitter 5012, and the outlet of the splitter 5012 is connected with a plurality of capillary channels, wherein each capillary channel corresponds to a server main board. The outlet of the flow divider 5012 can respectively contact the cooled cooling liquid in the cooling circulation loop with the plurality of server mainboards A through a plurality of capillary channels, so that the heat of each server mainboard A is taken away, and the heat dissipation is realized.
In some embodiments, referring still to fig. 3, a temperature sensor 5013 and a temperature sensor 5014 may also be provided at the inlet and outlet, respectively, of the liquid cartridge body 5011. The temperature sensor 5013 is used to collect the temperature value of the coolant flowing into the liquid housing 5011, and the temperature sensor 5014 is used to collect the temperature value of the coolant flowing out of the liquid housing 5011. The difference in temperature values based on the temperature sensor 5013 and the temperature sensor 5014 can be used to evaluate the liquid cooling effect of the liquid cooling system.
It can be understood that, when the difference between the temperature values of the temperature sensor 5013 and the temperature sensor 5014 is larger, the higher the heat taken away by the cooling liquid of the liquid cooling system is, the better the liquid cooling effect of the liquid cooling system is. Similarly, the difference between the temperature values of the temperature sensor 5013 and the temperature sensor 5014 can also be used to evaluate the liquid cooling requirement of the server, where a larger difference between the temperature values indicates a higher heat generated by the server and a corresponding larger liquid cooling requirement.
In some embodiments, referring to fig. 4, fig. 4 is a schematic view of a combined installation structure of a control unit and a liquid cartridge body according to an exemplary embodiment of the present invention. The liquid cooling device further comprises a control bin body 504 for placing the control unit, the control bin body and the liquid cooling bin body 5011 are arranged at intervals, an air inlet 5041 and a heat dissipation hole 5042 are arranged on a shell of the control bin body 504, and the number of the air inlet 5041 and the heat dissipation hole 5042 is not limited. The heat dissipation hole 5042 and the air intake 5041 are used for heat dissipation of the control unit.
In order to facilitate maintenance and reduce energy consumption, in some embodiments, the control unit and the liquid bin body may be separately combined, and the control unit and the liquid bin body may be separately combined by one or more of a snap-fit structure, a latch-fit structure, a groove and bump fastening structure, a bolt and nut structure, or the like. When the server is arranged indoors, the control unit and the liquid bin body 5011 can be combined and used as required.
In some embodiments, as shown in fig. 5, fig. 5 is another functional block diagram of a liquid cooling system according to an exemplary embodiment of the present invention. The control unit 10 comprises a calculation unit 11 and an execution unit 12; the computing unit 11 is configured to construct a real-time energy consumption function of a data center where the server is located according to the total energy consumption of the server and the total energy consumption of the heat dissipating device 30; acquiring target total energy consumption of the heat dissipating device 30 when the real-time energy consumption function is at a minimum; determining target rotational speeds of the liquid pump and the radiator, respectively, based on the target total energy consumption; the execution unit 12 is configured to adjust the rotational speeds of the liquid pump and the radiator according to the target rotational speed.
In some embodiments, the computing unit 11 is configured to: and constructing the total energy consumption of the data center to be equal to the sum of the fixed value and the independent variable by taking the total energy consumption of the server as the fixed value and the total energy consumption of the heat dissipation device as the independent variable so as to obtain the real-time energy consumption function.
The total energy consumption of the server, the total energy consumption of the heat dissipation device and the real-time energy consumption function represent real-time total energy consumption, and can be understood as instant energy consumption.
The computing unit 11 may be configured to: before the liquid cooling system works, a real-time energy consumption function of a data center where the server is located is pre-built, and the real-time energy consumption function can also be configured as follows: in the working process of the liquid cooling system, a real-time energy consumption function of the data center is built in real time or according to a preset time interval, for example, assuming that the real-time total energy consumption of the server is Σe server, the real-time total energy consumption of the heat dissipation device is Σe san, since the real-time total energy consumption of the server is Σe server set to a fixed value k, the real-time total energy consumption of the heat dissipation device is Σe san set to an independent variable, and the real-time total energy consumption of the data center is the sum of the real-time total energy consumption of the server and the real-time total energy consumption of the heat dissipation device, the real-time energy consumption function can be built as follows: e a＝∑Esan +k. Therefore, when Σe san is the smallest, E a is closest to k, that is, the total energy consumption of the data center is closest to the total energy consumption of the server, and at this time, the optimal PUE can be achieved, and the effect of reducing the total energy consumption of the liquid cooling system can be achieved.
In some embodiments, the liquid cooling system further comprises a storage unit storing a liquid pump total energy consumption model and a fan total energy consumption model; the computing unit 11 is configured to respectively compute energy consumption sum of each corresponding point group in the total energy consumption model of the liquid pump and the total energy consumption model of the wind turbine; and respectively taking the total energy consumption of the liquid pump and the total energy consumption of the fan corresponding to the point group with the minimum energy consumption sum median as the total energy consumption of the target liquid pump and the total energy consumption of the target fan, and respectively determining target rotating speeds of the liquid pump and the radiator based on the total energy consumption of the target liquid pump and the total energy consumption of the target fan.
Specifically, the storage unit stores a total energy consumption model of the liquid pump and a total energy consumption model of the fan under different heat loads; the total energy consumption model of the liquid pump under different heat loads can be constructed according to the physical characteristics and experimental data of the liquid pump, and specific construction can be seen from the related technology, and the embodiment of the invention will not be repeated. Similarly, the total energy consumption model of the fan under different heat loads can also be constructed according to the physical characteristics and test data of the fan. In the above description, the different heat loads may represent different heat load values or different heat load ranges, which is not limited by the embodiment of the present invention.
The heat dissipating device 30 includes a liquid pump 31 and a heat sink 32, and because the physical properties of the liquid pump and the heat sink are different, the actual energy consumption of the liquid pump and the heat sink are different even in the same working environment, so that the overall energy consumption of the liquid cooling system is reduced for better optimizing the PUE. The heat dissipation device of the liquid cooling system provided in this embodiment may report the energy consumption data of the liquid pump and the energy consumption data of the radiator in real time, that is, the total energy consumption of the heat dissipation device is the sum of the total energy consumption of the liquid pump and the total energy consumption of the fan of the radiator, so that the minimum value of the sum of the total energy consumption of the liquid pump and the total energy consumption of the fan of the radiator is regarded as the minimum value of the real-time energy consumption function, and the purpose of optimizing the PUE better is achieved.
Accordingly, the real-time energy consumption function may be adjusted to: e a＝∑Epump+∑Efan +k, wherein ΣE pump is the total energy consumption of the liquid pump, ΣE fan is the total energy consumption of the fan, and both are instantaneous quantities. Thus, the target total energy consumption of the heat sink includes the target total energy consumption of the liquid pump and the target total energy consumption of the blower.
Based on the method, the energy consumption of the heat dissipation device in different working environments can be determined according to the physical characteristics and the equipment types of the heat dissipation device, and the minimum energy consumption which best meets the current working requirements is determined, so that the target total energy consumption of the heat dissipation device when the real-time energy consumption function is at the minimum value can be obtained. The energy consumption of the heat dissipation device in different working environments is determined according to the physical characteristics and the equipment type of the heat dissipation device, and can be understood as follows: the method comprises the steps of searching a table according to physical characteristics, equipment types and current working environments of the heat dissipation device to find out energy consumption of the heat dissipation device under a corresponding working environment of the heat dissipation device, for example, when the working environment is at a certain temperature, then selecting the energy consumption with the minimum total energy consumption of the heat dissipation device as a target total energy consumption to control the heat dissipation device to work, and an exemplary table can record a heat dissipation device rotating speed parameter under the energy consumption, wherein an execution unit can directly utilize the rotating speed parameter to control the heat dissipation device to work, so that the purpose of optimizing the PUE is achieved.
Specifically, after the liquid pump total energy consumption model and the fan total energy consumption model are obtained, the calculation unit may generate a corresponding liquid pump total energy consumption curve based on the liquid pump total energy consumption model in the same coordinate system, generate a corresponding fan total energy consumption curve based on the fan total energy consumption model, then respectively obtain the liquid pump total energy consumption value and the fan total energy consumption value on each abscissa along the abscissa in the coordinate system, and use the liquid pump total energy consumption value and the fan total energy consumption value corresponding to the same abscissa as a point group, and then calculate the energy consumption sum of the liquid pump total energy consumption value and the fan total energy consumption value of each point group. After the energy consumption sum of each point group is obtained, the total energy consumption of the liquid pump and the total energy consumption of the fan corresponding to the point group with the minimum energy consumption sum can be respectively used as the total energy consumption of the target liquid pump and the total energy consumption of the target fan, so that the value of the real-time energy consumption function is minimum, as shown in fig. 6, and fig. 6 is a schematic diagram of an energy consumption curve according to an exemplary embodiment of the invention. In one embodiment, the abscissa may be sampled at a set interval, and the total energy consumption value of the liquid pump and the total energy consumption value of the fan at each sampling coordinate may be used as a point set.
When a plurality of liquid pumps and fans are applied in the data center, respectively acquiring a liquid pump total energy consumption model corresponding to each liquid pump and a fan total energy consumption model corresponding to each radiator, correspondingly, in the process of calculating the minimum energy consumption sum, generating a plurality of liquid pump total energy consumption curves according to the liquid pump total energy consumption models of the plurality of liquid pumps, and similarly, generating a plurality of fan total energy consumption curves according to the fan total energy consumption models of the plurality of radiators, wherein each point group at the moment comprises a plurality of liquid pump total energy consumption values and a plurality of fan total energy consumption values, namely, the energy consumption sum of each resistor is adaptively adjusted to be: and the total energy consumption of all the liquid pump total energy consumption values and all the fan total energy consumption values in each resistor are summed.
Then, the target rotating speed of the liquid pump and the target rotating speed of the radiator can be respectively determined according to the total energy consumption of the target liquid pump and the total energy consumption of the target fan, and then the liquid pump and the radiator are respectively controlled to work.
In the above description, the table recorded with the relationship between the physical characteristics of the heat dissipating device and the type of the device, the working environment, the rotation speed, and the energy consumption may be obtained by means of a method existing in the related art, which is not limited in the embodiment of the present invention.
In the above, there may be one or more servers, and in a scenario where the data center has only one server, Σe server may be understood as the total energy consumption of one server; accordingly, in a scenario where the data center includes multiple servers, Σe server can be understood as the total energy consumption of all servers. In addition, sigma E san may be understood based thereon.
In some embodiments, the control unit 10 further comprises a gateway unit 13, the execution unit 12 is further configured to control an on-off state of the server or manage data of the server according to a control instruction received by the gateway unit 13, and/or the execution unit 12 is further configured to remotely issue data through the gateway unit 13.
Thus, in the scenario of renting the server, if the rental period has arrived but no renewal is made, the server provider can send an instruction to close the server to the control unit to ensure rental management of the server product.
In addition, as the machine is used for a long time, the energy consumption model of the machine may change due to aging of some components or other factors, for example, the original energy consumption model is continuously used for optimizing the PUE, so that a good effect may not be achieved, so in order to further solve the technical problem, in other implementations, the computing unit of the liquid cooling system provided by the embodiment of the present invention may further optimize the total energy consumption model mentioned in any of the foregoing embodiments, and based on this, the computing unit is configured to: when the heat dissipation device is controlled to run according to the target rotating speed until the working environment of the server reaches the target temperature, respectively acquiring the total energy consumption of an actual liquid pump of the liquid pump and the total energy consumption of an actual fan of the radiator; and updating the corresponding total energy consumption model of the liquid pump based on the actual total energy consumption of the liquid pump, and updating the corresponding total energy consumption model of the fan based on the actual total energy consumption of the fan.
Therefore, through the steps, after the target total energy consumption is obtained according to the original total energy consumption model and the heat radiating device is controlled by the calculation unit, the actual total energy consumption of the liquid pump and the actual total energy consumption of the fan of the heat radiator are respectively obtained, then the actual total energy consumption of the liquid pump is utilized to update the total energy consumption model of the liquid pump, and the actual total energy consumption of the fan is utilized to update the total energy consumption model of the fan, so that the problem that the energy consumption model cannot be advanced and the PUE optimization is influenced due to machine loss or other factors can be avoided.
The updating of the total energy consumption model may be to adjust a certain coefficient of the total energy consumption model according to a difference between the actual total energy consumption and the target total energy consumption, or to add a certain system to the total energy consumption model to reduce the difference between the actual total energy consumption and the target total energy consumption, or to recreate the total energy consumption model, where specific adjustment and creation manners may be determined based on related mathematical principles and combined with the above requirements of the embodiments of the present invention, and are not described herein.
In some embodiments, the liquid cooling system further comprises a temperature sensor for detecting a temperature of the server motherboard; the computing unit is specifically used for acquiring the current actual temperature and the corresponding target temperature of the server reported by the temperature sensor; and based on the current actual temperature and the target temperature, acquiring a corresponding total energy consumption model of the liquid pump and a corresponding total energy consumption model of the fan from the storage unit.
Specifically, the calculating unit may obtain the current actual temperature of the server and the target temperature corresponding to the server, which are reported by the temperature sensor, determine the heat loads needed to be carried by the liquid pump and the fan based on the current actual temperature and the target temperature, and then obtain the total energy consumption model under the corresponding heat load from the pre-stored energy consumption models according to the respective heat loads. The current actual temperature may refer to an actual temperature of a motherboard of the current server, and the target temperature may refer to a target temperature that needs to be reached by the motherboard of the current server. The actual temperature can be detected by a temperature sensor arranged on the main board of the server, and the target temperature can be a default value, wherein the default value refers to a certain temperature value in an allowed environment temperature range of the main board when the operation performance of the main board of the server is ensured.
In some embodiments, the control unit obtains a first temperature value of the server acquired by a temperature sensor after controlling the liquid pump and the radiator to adjust the rotation speed at intervals of a preset time, and when the calculation unit determines that a difference value between the first temperature value and the target temperature is greater than a preset temperature threshold value, the calculation unit is used for increasing the rotation speeds of the liquid pump and the radiator according to the real-time energy consumption function and the difference value.
Specifically, when the temperature value acquired by the temperature sensor is still greater than a preset threshold value after the control unit controls the liquid pump and the radiator to adjust the rotating speed, wherein the preset threshold value represents a normal temperature difference value in a preset time when the liquid cooling system normally operates in a temperature interval in which the actual temperature of the server is located. Wherein, the preset thresholds corresponding to different temperature intervals are different. It will be appreciated that when the first temperature value is detected to be greater than the preset threshold value, it is indicated that the heat dissipation effect of the heat dissipation device operating at the current rotational speed is not optimal, and therefore, even if the energy consumption of the heat dissipation device is low at this time, it is still necessary to determine the target rotational speeds of the liquid pump and the heat sink according to the temperature difference and increase the rotational speeds in order to ensure rapid heat dissipation. Specifically, a matched compensation coefficient can be determined from a plurality of compensation coefficients according to the temperature difference, and a target rotating speed is determined based on the compensation coefficient and the current rotating speed, wherein the larger the temperature difference is, the larger the matched target compensation coefficient is. The different rotating speeds of the heat dissipation device can be matched according to the temperature difference value and the current rotating speed, so that the heat dissipation effect of the liquid cooling system is improved, and the lower energy consumption can be kept.
In some embodiments, the computing unit is configured to: when the temperature of the server main board collected by the temperature sensor is detected to be greater than the normal operation temperature threshold value, the method is executed: after the liquid pump and the radiator are controlled to adjust the rotating speeds, a first temperature value of the server, acquired by a temperature sensor, is acquired after a preset time interval, and when the calculating unit determines that the difference value between the first temperature value and the target temperature is larger than a preset temperature threshold value, the calculating unit is used for increasing the rotating speeds of the liquid pump and the radiator according to the real-time energy consumption function and the difference value.
Specifically, when the temperature of the server motherboard is greater than the normal operation temperature threshold, it indicates that the current server is operating under high load, and the operation capability of the server will be affected by the excessive temperature of the server, so that the heat dissipation effect of the server needs to be enhanced.
Although a better PUE optimization objective can be achieved by the solution in any of the above embodiments, the optimization steps of the PUE can be simplified to some extent. However, in order to improve the accuracy of PUE calculation, loss energy consumption generated by other devices other than the server and the heat sink, for example, transmission loss in a circuit, wiring loss, loss not incorporated by a control unit in a liquid cooling system, and the like, may be incorporated into the construction of the real-time energy consumption function.
Based on this, for different scenarios and considerations, in some embodiments, the real-time energy consumption function also includes the lost energy consumption of other devices than servers and heat sinks; correspondingly, the computing unit is configured to construct a real-time energy consumption function according to the first mode or the second mode;
the first way is: setting the total energy consumption of the server and the loss energy consumption as new fixed values, taking the total energy consumption of the heat dissipation device as independent variables, and constructing the total energy consumption of the data center to be equal to the sum of the new fixed values and the independent variables so as to obtain the real-time energy consumption function;
specifically, the real-time energy consumption function at this time is: e a＝∑Epump+∑Efan +k ', where k' = Σe server+∑Eothers,∑Eothers is the loss energy consumption. From this, it is clear that even if the loss energy consumption is increased, since the loss energy consumption and the total energy consumption of the server are taken as new fixed values and are not taken into consideration as variables, the real-time energy consumption function is essentially influenced only by the total energy consumption of the liquid pump and the total energy consumption of the fan, and as in the essence of the related embodiments described above, it is possible to improve the calculation accuracy of the PUE without greatly changing the original scheme and without increasing the calculation amount.
The second way is: and setting the total energy consumption of the data center as a third independent variable by taking the total energy consumption of the server as a fixed value and the total energy consumption of the heat dissipation device as an independent variable, and constructing the total energy consumption of the data center to be equal to the sum of the fixed value, the independent variable and the third independent variable so as to obtain the real-time energy consumption function.
Specifically, the real-time energy consumption function at this time is: e a＝∑Epump+∑Efan+∑Eothers +k; wherein Σe others is the loss energy consumption; at this point, the value of the real-time energy consumption function is affected by 3 variables- Σe pump、∑Efan and Σe others. To minimize the value of the real-time energy consumption function, that is, the value of the sum of the total energy consumption of the liquid pump, the total energy consumption of the fan and the loss energy consumption is minimized, the minimum value obtaining mode may refer to the minimum value obtaining mode of the sum of the total energy consumption of the liquid pump and the total energy consumption of the fan, and correspondingly, the energy consumption model may further include loss energy consumption models under different heat loads.
Therefore, the total energy consumption curve of the liquid pump, the total energy consumption curve of the fan and the energy consumption curve can be generated in the same coordinate system, and the minimum energy consumption sum can be obtained according to the method of the related embodiment. And then controlling the liquid pump and the radiator to work at corresponding target rotating speeds based on the target liquid pump total energy consumption and the target fan total energy consumption corresponding to the minimum energy consumption sum.
It can be understood that: because the more the total energy consumption of the PUE is close to the total energy consumption of the server in the data center, the optimal time is realized, so the loss energy consumption is included in the independent variable array, namely, the total energy consumption of the PUE is comprehensively optimized by combining the loss energy consumption, the total energy consumption of the liquid pump and the total energy consumption of the fan, the sum of other energy consumption except the total energy consumption of the server can be minimized, the total energy consumption of the data center is closest to the total energy consumption of the server, and the better PUE optimizing effect can be achieved.
Corresponding to the foregoing embodiments of the liquid cooling system, the embodiment of the present invention further provides a liquid cooling system control method, which is applied to the liquid cooling system provided in any one of the foregoing embodiments, as shown in fig. 7, fig. 7 is a flowchart of a liquid cooling system control method according to an exemplary embodiment of the present invention; the control method comprises the following steps:
In step S100, measuring real-time energy consumption of the server by the electricity measuring unit;
In step S200, a control unit constructs a real-time energy consumption function of a data center where the server is located according to the total energy consumption of the server and the total energy consumption of the heat dissipation device;
specifically, the control unit constructs a real-time energy consumption function of the data center where the server is located, and the total energy consumption of the data center can be constructed to be equal to the sum of the fixed value and the independent variable by taking the total energy consumption of the server as the fixed value and the total energy consumption of the heat dissipation device as the independent variable, so as to obtain the real-time energy consumption function. The total energy consumption of the server, the total energy consumption of the heat dissipation device and the real-time energy consumption function represent real-time total energy consumption and can be understood as instant energy consumption;
in step S300, obtaining, by a control unit, a target total energy consumption of the heat dissipating device when the real-time energy consumption function is at a minimum value;
in step S400, target rotational speeds of the liquid pump and the radiator are determined by the control unit based on the target total energy consumption, respectively, and the rotational speeds of the liquid pump and the radiator are adjusted.
Therefore, before the liquid cooling system works, the computing unit may construct a real-time energy consumption function of the data center where the server is located in advance, or may construct a real-time energy consumption function of the data center in real time or according to a preset time interval in the working process of the liquid cooling system, for example, assuming that the real-time total energy consumption of the server is Σe server, the real-time total energy consumption of the heat dissipating device is Σe san, since the real-time total energy consumption of the server Σe server is set to a fixed value k, the real-time total energy consumption of the heat dissipating device Σe san is set to an independent variable, and the real-time total energy consumption of the data center is the sum of the real-time total energy consumption of the server and the real-time total energy consumption of the heat dissipating device, the real-time energy consumption function may be constructed as follows: e a＝∑Esan +k. It follows that when Σe san is minimum, E a is closest to k, i.e. the total energy consumption of the data center is closest to the total energy consumption of the server, at which point the optimal PUE can be reached.
The heat dissipation device includes a liquid pump and a heat sink, and because the physical characteristics of the liquid pump and the heat sink are different, even in the same working environment, the actual energy consumption loss rule of the liquid pump and the heat sink is different, so in order to better optimize the PUE, in this embodiment, the total energy consumption of the heat dissipation device is split into the total energy consumption of the liquid pump and the total energy consumption of the fan of the heat sink, so that the minimum value of the sum of the two is regarded as the minimum value of the real-time energy consumption function, and the purpose of better optimizing the PUE is achieved. Accordingly, the real-time energy consumption function may be adjusted to: e a＝∑Epump+∑Efan +k, wherein ΣE pump is the total energy consumption of the liquid pump, ΣE fan is the total energy consumption of the fan, and both are instantaneous quantities. Thus, the target total energy consumption of the heat sink includes the target total energy consumption of the liquid pump and the target total energy consumption of the blower.
Based on the method, the energy consumption of the heat dissipation device in different working environments can be determined according to the physical characteristics and the equipment types of the heat dissipation device, and the minimum energy consumption which best meets the current working requirements is determined, so that the target total energy consumption of the heat dissipation device when the real-time energy consumption function is at the minimum value can be obtained. The energy consumption of the heat dissipation device in different working environments is determined according to the physical characteristics and the equipment type of the heat dissipation device, and can be understood as follows: the method comprises the steps of searching a table according to physical characteristics, equipment types and current working environments of the heat dissipation device to find out energy consumption of the heat dissipation device under a corresponding working environment of the heat dissipation device, for example, when the working environment is at a certain temperature, then selecting the energy consumption with the minimum total energy consumption of the heat dissipation device as a target total energy consumption to control the heat dissipation device to work, and in an exemplary form, a heat dissipation device rotating speed parameter under the energy consumption can be recorded, so that the heat dissipation device can be controlled to work by directly utilizing the rotating speed parameter, and the purpose of optimizing the PUE is achieved.
Since the total energy consumption of the data center is closest to the total energy consumption of the server, the PUE is closest to 1, i.e., the more the total energy consumption of the data center is closest to the total energy consumption of the server, the better the PUE, and the lower the overall energy consumption of the liquid cooling system. Therefore, by constructing the real-time energy consumption function of the data center where the server is located, as long as the real-time energy consumption function is minimum, namely, the real-time total energy consumption of the heat dissipation device is minimum, the real-time total energy consumption of the data center is closest to the real-time total energy consumption of the server, so that the target total energy consumption of the heat dissipation device can be obtained, the current target rotating speed of the heat dissipation device can be obtained based on the relation between the energy consumption and the rotating speed of the heat dissipation device, and the heat dissipation device is controlled to operate at the target rotating speed, so that the minimum real-time total energy consumption of the heat dissipation device can be ensured, the real-time total energy consumption of the data center is closest to the server, and the aim of reducing the whole energy efficiency of the liquid cooling system is achieved.
Corresponding to the embodiment of the liquid cooling system control method, the invention also provides electronic equipment, which comprises:
A processor;
A memory for storing a computer program executable by the processor;
wherein the steps of the liquid cooling system control method in any of the method embodiments are implemented when the processor executes the program.
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the liquid cooling system control method in any of the foregoing method embodiments.
The present invention may take the form of a computer program product embodied on one or more storage media (including, but not limited to, magnetic disk storage, CD-ROM, optical storage, etc.) having program code embodied therein. Computer-readable storage media include both non-transitory and non-transitory, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer readable storage media include, but are not limited to: phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, may be used to store information that may be accessed by the computing device.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the invention.
Claims (8)
1. A liquid cooling system, comprising: the device comprises a liquid cooling device, a heat radiating device, an electric quantity measuring unit and a control unit;
The liquid cooling device comprises a liquid bin body for accommodating the server main board, and cooling liquid is filled in the liquid bin body;
The heat dissipation device is arranged outside the server and is communicated with the liquid cooling device through a pipeline, and the heat dissipation device comprises a liquid pump and a radiator; the liquid bin body, the liquid pump and the radiator are sequentially communicated to form a cooling circulation loop;
The electric quantity measuring unit is electrically connected with the server and the control unit and is used for measuring the real-time energy consumption of the server and reporting the real-time energy consumption to the control unit;
The control unit is used for acquiring the total energy consumption of the server and the heat dissipation device, and adjusting the rotating speeds of the liquid pump and the heat dissipation device according to the total energy consumption of the server and the heat dissipation device, wherein the total energy consumption of the liquid pump and the heat dissipation device after the rotating speeds are adjusted is lower than the total energy consumption before the adjustment;
wherein the control unit comprises a calculation unit and an execution unit;
The computing unit is used for constructing a real-time energy consumption function of the data center where the server is located according to the total energy consumption of the server and the total energy consumption of the heat dissipation device; acquiring target total energy consumption of the heat dissipation device when the real-time energy consumption function is at a minimum value; determining target rotational speeds of the liquid pump and the radiator, respectively, based on the target total energy consumption;
The execution unit is used for adjusting the rotating speeds of the liquid pump and the radiator according to the target rotating speed;
The calculation unit constructs a real-time energy consumption function of the data center where the server is located according to the total energy consumption of the server and the total energy consumption of the heat dissipation device, wherein the method is one of the following methods:
The first way is: the total energy consumption of the server is taken as a fixed value, the total energy consumption of the heat dissipation device is taken as an independent variable, and the total energy consumption of the data center is built to be equal to the sum of the fixed value and the independent variable, so that the real-time energy consumption function is obtained;
The second way is: setting the total energy consumption and the loss energy consumption of the server as new fixed values, taking the total energy consumption of the heat dissipation device as independent variables, and constructing the total energy consumption of the data center to be equal to the sum of the new fixed values and the independent variables so as to obtain the real-time energy consumption function; the loss energy consumption is energy consumption generated by other equipment except the server and the heat dissipation device;
Third mode: the total energy consumption of the server is taken as a fixed value, the total energy consumption of the heat dissipation device is taken as an independent variable, the loss energy consumption is taken as a third independent variable, and the total energy consumption of the data center is built to be equal to the sum of the fixed value, the independent variable and the third independent variable, so that the real-time energy consumption function is obtained; wherein the lost energy consumption is energy consumption generated by other devices except the server and the heat dissipation device.
2. The liquid cooling system according to claim 1, further comprising a storage unit that stores a liquid pump total energy consumption model and a fan total energy consumption model;
the computing unit is used for computing the energy consumption sum of each corresponding point group in the liquid pump total energy consumption model and the fan total energy consumption model respectively; and respectively taking the total energy consumption of the liquid pump and the total energy consumption of the fan corresponding to the point group with the minimum energy consumption sum median as the total energy consumption of the target liquid pump and the total energy consumption of the target fan, and respectively determining target rotating speeds of the liquid pump and the radiator based on the total energy consumption of the target liquid pump and the total energy consumption of the target fan.
3. The liquid cooling system of claim 2, further comprising a temperature sensor for detecting a temperature of a server motherboard;
the storage unit stores a total energy consumption model of the liquid pump and a total energy consumption model of the fan under different heat loads;
The computing unit is used for acquiring the current actual temperature and the corresponding target temperature of the server reported by the temperature sensor; and based on the current actual temperature and the target temperature, acquiring a corresponding total energy consumption model of the liquid pump and a corresponding total energy consumption model of the fan from the storage unit.
4. The liquid cooling system according to claim 3, wherein the control unit obtains a first temperature value of the server acquired by a temperature sensor after a preset time interval after controlling the liquid pump and the radiator to adjust rotation speeds, and when the calculation unit determines that a difference between the first temperature value and the target temperature is greater than a preset temperature threshold, the calculation unit is configured to increase the rotation speeds of the liquid pump and the radiator according to the real-time energy consumption function and the difference.
5. The liquid cooling system of claim 4, wherein the liquid cartridge body is provided with an inlet and an outlet, the inlet of the liquid cartridge body is provided with a flow divider, and the outlet of the flow divider is connected to a plurality of capillary channels, wherein each capillary channel corresponds to a server motherboard.
6. The liquid cooling system according to any one of claims 1 to 5, wherein the liquid cooling device further comprises a control bin body for placing the control unit, the control bin body and the liquid cooling bin body are arranged at intervals, and an air inlet and a heat dissipation hole are formed in a shell of the control bin body.
7. The liquid cooling system according to any one of claims 1 to 5, wherein the control unit further comprises a gateway unit, the execution unit is further configured to control an on-off state of the server or manage data of the server according to a control instruction received by the gateway unit, and/or the execution unit is further configured to remotely issue data through the gateway unit.
8. A liquid cooling system control method, characterized by being applied to the liquid cooling system according to any one of claims 1 to 7, comprising:
measuring the real-time energy consumption of the server through an electric quantity measuring unit;
constructing a real-time energy consumption function of a data center where the server is located according to the total energy consumption of the server and the total energy consumption of the heat dissipation device by a control unit;
Acquiring target total energy consumption of the heat dissipation device when the real-time energy consumption function is at a minimum value through a control unit;
And determining target rotating speeds of the liquid pump and the radiator respectively based on the target total energy consumption by a control unit, and adjusting the rotating speeds of the liquid pump and the radiator.
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| EP3612011A1 (en) * | 2018-08-14 | 2020-02-19 | ABB Schweiz AG | Method of controlling cooling in a data centre |
| CN111465274B (en) * | 2020-04-21 | 2022-11-29 | 广州智冷节能科技有限公司 | Single-cabinet modular server liquid cooling system and control method thereof |
| CN114980666B (en) * | 2022-05-13 | 2023-03-24 | 佛山市液冷时代科技有限公司 | Control method and system for liquid cooling heat dissipation system of data center |
| CN116546778A (en) * | 2023-04-07 | 2023-08-04 | 苏州浪潮智能科技有限公司 | Active cold plate-based air-liquid hybrid server heat dissipation regulation and control system and method |
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| CN105302182A (en) * | 2015-11-02 | 2016-02-03 | 张存勇 | Server liquid cooling heat radiation energy saving control system and method |
| CN115686162A (en) * | 2022-12-28 | 2023-02-03 | 苏州浪潮智能科技有限公司 | Liquid cooling circulation system and method of server, electronic device and storage medium |
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