CN112539529A - Control method and control device of air conditioning system and machine room air conditioning system - Google Patents
Control method and control device of air conditioning system and machine room air conditioning system Download PDFInfo
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- 238000004378 air conditioning Methods 0.000 title claims abstract description 256
- 238000000034 method Methods 0.000 title claims abstract description 56
- 238000005265 energy consumption Methods 0.000 claims abstract description 27
- 238000004364 calculation method Methods 0.000 claims description 42
- 230000002068 genetic effect Effects 0.000 claims description 22
- 238000005057 refrigeration Methods 0.000 claims description 18
- 238000005457 optimization Methods 0.000 claims description 14
- 238000003860 storage Methods 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 7
- 230000017525 heat dissipation Effects 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 abstract description 7
- 238000013021 overheating Methods 0.000 abstract description 6
- 238000004781 supercooling Methods 0.000 abstract description 5
- 238000009826 distribution Methods 0.000 description 10
- 238000004422 calculation algorithm Methods 0.000 description 8
- 238000001816 cooling Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
- F24F11/47—Responding to energy costs
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
- F24F5/0003—Exclusively-fluid systems
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20709—Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
- H05K7/20718—Forced ventilation of a gaseous coolant
- H05K7/20745—Forced ventilation of a gaseous coolant within rooms for removing heat from cabinets, e.g. by air conditioning device
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20709—Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
- H05K7/20836—Thermal management, e.g. server temperature control
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2140/00—Control inputs relating to system states
- F24F2140/50—Load
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Abstract
The invention discloses a control method and a control device of an air conditioning system and a machine room air conditioning system. Wherein, air conditioning system includes: the control method comprises the following steps that air conditioning equipment and a cabinet with a plurality of servers inside are installed, the air conditioning equipment is used for supplying air to each cabinet and dissipating heat of the servers in the cabinet, and the control method comprises the following steps: detecting a temperature value of a control chip of the server; based on the temperature value, adopting a preset load scheduling strategy to adjust the number of servers in the working state and the air supply temperature of the air conditioning equipment; and controlling the total energy consumption of the air conditioning system based on the number of the servers in the working state and the air supply temperature. The invention solves the technical problems that the power consumption of IT equipment in a machine room is not matched with the cold supply of an air conditioning system in the related technology, and the phenomenon of local overheating or supercooling is easy to generate.
Description
Technical Field
The invention relates to the technical field of air conditioner control, in particular to a control method and a control device of an air conditioner system and a machine room air conditioner system.
Background
In the related art, with the scale expansion of data centers and the increase of energy consumption density of IT equipment, the problem of high energy consumption is increasingly receiving wide attention of people. For a conventional air-cooled data center, the power consumption of an air-conditioning system is almost equal to that of IT equipment, the air-conditioning system becomes a main energy consumption unit except the IT equipment, the reduction of the power consumption of the air-conditioning system also becomes a main means for optimizing the energy consumption of the data center, and in a data center machine room, local overheating and supercooling phenomena can be generated due to the fact that the power consumption distribution of the IT equipment is not matched with the cooling capacity supply of the air-conditioning system, and the energy efficiency of the air-conditioning system is low.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a control method and a control device of an air conditioning system and the air conditioning system in a machine room, which at least solve the technical problems that the power consumption of IT equipment in the machine room in the related technology is not matched with the cooling capacity supply of the air conditioning system, and the local overheating or supercooling phenomenon is easy to generate.
According to an aspect of an embodiment of the present invention, there is provided a control method of an air conditioning system including: the control method comprises the following steps that air conditioning equipment and a cabinet with a plurality of servers inside are installed, the air conditioning equipment is used for supplying air to each cabinet and dissipating heat of the servers in the cabinet, and the control method comprises the following steps: detecting a temperature value of a control chip of the server; based on the temperature value, adopting a preset load scheduling strategy to adjust the number of servers in a working state and the air supply temperature of the air conditioning equipment; and controlling the total energy consumption of the air conditioning system based on the number of the servers in the working state and the air supply temperature.
Optionally, based on the temperature value, adjusting the number of servers in the working state and the air supply temperature of the air conditioning equipment by using a preset load scheduling policy, including: when the temperature value is in a first temperature interval, determining that a control chip of the server is in a supercooled state, controlling all servers in the cabinet to work, and increasing the current air supply temperature to be a first target temperature value; when the temperature value is in a second temperature interval, determining that a control chip of the server is in a normal state, controlling all servers in the cabinet to work, and keeping the air supply temperature of the air conditioning system unchanged, wherein the temperature value in the second temperature interval is higher than the temperature value in the first temperature interval; and when the temperature value is in a third temperature interval, determining that a control chip of the server is in an overheat state, controlling a first part of servers in the cabinet to work, and closing other servers except the first part of servers to stop working, wherein the temperature value in the third temperature interval is higher than the temperature value in the second temperature interval.
Optionally, the control method further includes: determining an optimization parameter for at least one datum using a predetermined genetic calculation model, wherein the at least one datum comprises: the system comprises the total power consumption of the air conditioning system, the load of each server, the total load of the air conditioning system, the air supply temperature of the air conditioning system and the control chip temperature value of the server.
Optionally, the at least one datum comprises: under the condition of the total power consumption of the air conditioning system, the step of determining the optimization parameter of at least one datum by adopting a preset genetic calculation mode comprises the following steps: acquiring the refrigeration power consumption of the air conditioning system and the power consumption of a server; and calculating the total power consumption of the air conditioning system by adopting a first preset calculation formula based on the refrigeration power consumption of the air conditioning system and the power consumption of the server.
Optionally, the at least one datum comprises: under the condition of the load of each server and the total load of the air conditioning system, the step of determining the optimization parameters of at least one datum by adopting a preset genetic calculation mode comprises the following steps: acquiring the utilization rate of a Central Processing Unit (CPU) of each server and the number of loads borne by the servers; and calculating the load of each server in each cabinet and the total load of the air conditioning system by adopting a second preset calculation formula based on the CPU utilization rate and the load quantity.
Optionally, the at least one datum comprises: under the condition of the air supply temperature of the air conditioning system, the step of determining the optimized parameter of at least one datum by adopting a preset genetic calculation mode comprises the following steps: determining a utilization rate value range of each server and a temperature value range of the air supply temperature; and calculating the optimal value of the air supply temperature of the air conditioning system by adopting a third preset calculation formula based on the utilization rate value range of each server and the temperature value range of the air supply temperature.
Optionally, the control method further includes: and calculating a server load scheduling parameter which enables the power consumption of the air conditioning system to be minimum by adopting the third preset calculation formula based on the utilization rate value range of each server and the temperature value range of the air supply temperature.
Optionally, each server is configured with the same number of processors and the same number of processor models, and all processors have the same utilization rate, wherein the processor utilization rate of each server is proportional to the load amount of each server.
According to another aspect of the embodiments of the present invention, there is also provided a control method of an air conditioning system, the air conditioning system including: the control method comprises the following steps that air conditioning equipment and a cabinet with a plurality of servers inside are installed, the air conditioning equipment is used for supplying air to each cabinet and dissipating heat of the servers in the cabinet, and the control method comprises the following steps: acquiring an inlet airflow temperature value of a server; based on the inlet airflow temperature value, adopting a preset load scheduling strategy to adjust the number of servers in a working state and the air supply temperature of the air conditioning equipment; and controlling the total energy consumption of the air conditioning system based on the number of the servers in the working state and the air supply temperature.
According to another aspect of the embodiments of the present invention, there is also provided a control apparatus of an air conditioning system including: air conditioning equipment and inside rack that is equipped with a plurality of servers, air conditioning equipment is used for to each the rack air supply, for server heat dissipation in the rack, controlling means includes: the first detection unit is used for detecting the temperature value of the control chip of the server; the first adjusting unit is used for adjusting the number of servers in a working state and the air supply temperature of the air conditioning equipment by adopting a preset load scheduling strategy based on the temperature value; and the first control unit is used for controlling the total energy consumption of the air conditioning system based on the adjustment of the number of the servers in the working state and the air supply temperature.
Optionally, the first adjusting unit includes: the first determining module is used for determining that a control chip of the server is in a supercooled state when the temperature value is in a first temperature interval, controlling all servers in the cabinet to work, and increasing the current air supply temperature to be a first target temperature value; the second determining module is used for determining that a control chip of the server is in a normal state when the temperature value is in a second temperature interval, controlling all servers in the cabinet to work, and keeping the air supply temperature of the air conditioning system unchanged, wherein the temperature value in the second temperature interval is higher than the temperature value in the first temperature interval; and the third determining module is used for determining that a control chip of the server is in an overheat state when the temperature value is in a third temperature interval, controlling the first part of servers in the cabinet to work, and closing other servers except the first part of servers to stop working, wherein the temperature value in the third temperature interval is higher than the temperature value in the second temperature interval.
Optionally, the control device of the air conditioning system further includes: a fourth determining module, configured to determine an optimization parameter of at least one data using a preset genetic computing pattern, wherein the at least one data includes: the system comprises the total power consumption of the air conditioning system, the load of each server, the total load of the air conditioning system, the air supply temperature of the air conditioning system and the control chip temperature value of the server.
Optionally, the at least one datum comprises: in the case of total power consumption of the air conditioning system, the fourth determining module includes: the first obtaining submodule is used for obtaining the refrigeration power consumption of the air conditioning system and the power consumption of the server; and the first calculation submodule is used for calculating the total power consumption of the air-conditioning system by adopting a first preset calculation formula based on the refrigeration power consumption and the server power consumption of the air-conditioning system.
Optionally, the at least one datum comprises: in a case where the load of each of the servers and the total load of the air conditioning system are total, the fourth determining module includes: the second obtaining submodule is used for obtaining the utilization rate of a Central Processing Unit (CPU) of each server and the load number borne by the server; and the second calculation submodule is used for calculating the load of each server in each cabinet and the total load of the air conditioning system by adopting a second preset calculation formula based on the CPU utilization rate and the load quantity.
Optionally, the at least one datum comprises: in the case of an air supply temperature of an air conditioning system, the fourth determining module includes: the first determining submodule is used for determining a utilization rate value range of each server and a temperature value range of the air supply temperature; and the third calculation sub-module is used for calculating the optimal value of the air supply temperature of the air conditioning system by adopting a third preset calculation formula based on the utilization rate value range of each server and the temperature value range of the air supply temperature.
Optionally, the control device of the air conditioning system further includes: and the calculating unit is used for calculating a server load scheduling parameter which enables the power consumption of the air conditioning system to be minimum by adopting the third preset calculating formula based on the utilization rate value range of each server and the temperature value range of the air supply temperature.
Optionally, each server is configured with the same number of processors and the same number of processor models, and all processors have the same utilization rate, wherein the processor utilization rate of each server is proportional to the load amount of each server.
According to another aspect of the embodiments of the present invention, there is also provided a control apparatus of an air conditioning system including: air conditioning equipment and inside rack that is equipped with a plurality of servers, air conditioning equipment is used for to each the rack air supply, for server heat dissipation in the rack, controlling means includes: the first acquisition unit is used for acquiring an inlet airflow temperature value of the server; the second adjusting unit is used for adjusting the number of servers in a working state and the air supply temperature of the air conditioning equipment by adopting a preset load scheduling strategy based on the inlet airflow temperature value; and the second control unit is used for controlling the total energy consumption of the air conditioning system based on the adjustment of the number of the servers in the working state and the air supply temperature.
According to another aspect of the embodiments of the present invention, there is also provided a machine room air conditioning system including: the system comprises machine room air conditioning equipment and cabinets in which a plurality of servers are arranged, wherein the air conditioning equipment is used for supplying air to each cabinet and dissipating heat of the servers in the cabinets; a system processor; and a system memory for storing executable instructions for the system processor; wherein the system processor is configured to perform the control method of the air conditioning system of any of the above via execution of the executable instructions.
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, and when the computer program runs, the apparatus where the computer-readable storage medium is located is controlled to execute the control method of the air conditioning system according to any one of the above.
In the embodiment of the invention, the temperature value of the control chip of the server is detected, the number of the servers in the working state and the air supply temperature of the air conditioning equipment are adjusted by adopting a preset load scheduling strategy based on the temperature value, and the total energy consumption of the air conditioning system is controlled based on the number of the servers in the working state and the air supply temperature. In the embodiment, the number of the servers and the air supply temperature can be adjusted in time based on a temperature sensing load scheduling strategy of a server control chip, the phenomenon that the server of the air conditioning system of the data center room is locally over-cooled and over-heated is effectively reduced, the operation cost is reduced, and the energy utilization efficiency is improved, so that the technical problems that in the related technology, the power consumption of IT equipment in the room is not matched with the cold supply of the air conditioning system, and the phenomenon of local over-heated or over-cooled is easily caused are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of an alternative control method of an air conditioning system according to an embodiment of the present invention;
FIG. 2 is a block diagram of an alternative air conditioning system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an alternative simplified model of the interior of a cabinet according to an embodiment of the invention;
fig. 4 is a schematic diagram of an alternative control device for an air conditioning system according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present invention, there is provided an embodiment of a control method of an air conditioning system, it should be noted that the steps shown in the flowchart of the drawings may be executed in a computer system such as a set of computer executable instructions, and that although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that here.
Fig. 1 is a flowchart of an alternative control method of an air conditioning system according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, detecting a temperature value of a control chip of a server;
step S104, based on the temperature value, adopting a preset load scheduling strategy to adjust the number of servers in a working state and the air supply temperature of the air conditioning equipment;
and step S106, controlling the total energy consumption of the air conditioning system based on the number of the servers in the working state and the air supply temperature.
Through the steps, the temperature value of the control chip of the server can be detected; based on the temperature value, adopting a preset load scheduling strategy to adjust the number of servers in the working state and the air supply temperature of the air conditioning equipment; and controlling the total energy consumption of the air conditioning system based on the number of the servers in the working state and the air supply temperature. In the embodiment, the number of the servers and the air supply temperature can be adjusted in time based on a temperature sensing load scheduling strategy of a server control chip, the phenomenon that the server of the air conditioning system of the data center room is locally over-cooled and over-heated is effectively reduced, the operation cost is reduced, and the energy utilization efficiency is improved, so that the technical problems that in the related technology, the power consumption of IT equipment in the room is not matched with the cold supply of the air conditioning system, and the phenomenon of local over-heated or over-cooled is easily caused are solved.
The embodiment of the invention provides a control method of an air conditioning system, wherein the air conditioning system comprises the following steps: the air conditioning equipment and the cabinet are internally provided with a plurality of servers, and the air conditioning equipment is used for supplying air to each cabinet and dissipating heat for the servers in the cabinet. The air conditioning equipment related to the embodiment of the invention can be machine room air conditioning equipment of a data center, and the heat state of the server is represented by adopting the temperature of the server chip as a constraint condition based on a load scheduling strategy of temperature sensing of the server chip, so that the working heat state of the air conditioning equipment is prevented from being described by adopting the temperature of inlet airflow. Under the condition that the load quantity is unchanged, the higher the air supply temperature is, the lower the refrigeration power consumption is, and the higher the energy utilization efficiency of the air conditioning system is; on the contrary, the lower the air supply temperature is, the higher the refrigeration power consumption is, the lower the energy use efficiency of the air conditioning system is, by optimizing the server load distribution and the air supply temperature of the air conditioning system and automatically adjusting the working quantity of the servers according to the thermal state of the servers, a part of unimportant servers temporarily stop working or all normally work, and properly increasing the air supply temperature of the air conditioning system, the refrigeration power consumption waste of the data center under the low-load working condition can be reduced, the energy use efficiency of the air conditioning system is further improved, and the total power consumption of the air conditioning system of the data center machine room is reduced.
Fig. 2 is a block diagram of an alternative air conditioning system according to an embodiment of the present invention, as shown in fig. 2, the air conditioning system including: a plurality of cabinets (such as cabinet 1, cabinet 2, cabinet 3 … cabinet N in fig. 2, each cabinet includes server 1, server 2, server 3 … server N) and air conditioning equipment, where the cooling capacity in the system is provided by the air conditioning equipment, and the cooling capacity is dissipated for each server in the cabinet, and meanwhile, the electric energy consumed by a large number of servers during operation is converted into heat and dissipated to the surrounding environment.
Fig. 3 is a schematic diagram of an alternative simplified model of the interior of a cabinet, according to an embodiment of the present invention, and as shown in fig. 3, each server inside the cabinet includes: electronic components and server radiator fan, in data center (can be for air-cooled data center), the server produces the heat and all takes away by the cooling air current that flows through the server, and radiator fan inside the server dispels the temperature that inside electronic components produced through the fan simultaneously, and partly flows back to the computer lab air conditioner, forms convection heat transfer.
Optionally, in the embodiment of the present invention, the number of the processor CPUs configured for each server is the same as the number of the processor CPUs, and all the processor CPUs have the same utilization rate, where the processor CPU utilization rate of each server is proportional to the load number of each server.
The following will explain the detailed implementation procedures of the embodiments of the present invention.
Step S102, detecting the temperature value of the control chip of the server.
And step S104, adjusting the number of servers in the working state and the air supply temperature of the air conditioning equipment by adopting a preset load scheduling strategy based on the temperature value.
Optionally, based on the temperature value, the step of adjusting the number of servers in the working state and the air supply temperature of the air conditioning equipment by using a preset load scheduling policy includes: when the temperature value is in a first temperature interval, determining that a control chip of the server is in a supercooled state, controlling all servers in the cabinet to work, and increasing the current air supply temperature to be a first target temperature value; when the temperature value is in a second temperature interval, determining that a control chip of the server is in a normal state, controlling all servers in the cabinet to work, and keeping the air supply temperature of the air conditioning system unchanged, wherein the temperature value in the second temperature interval is higher than the temperature value in the first temperature interval; and when the temperature value is in a third temperature interval, determining that a control chip of the server is in an overheat state, controlling the first part of servers in the cabinet to work, and closing other servers except the first part of servers to stop working, wherein the temperature value in the third temperature interval is higher than the temperature value in the second temperature interval.
The first temperature interval, the second temperature interval, and the third temperature interval may be adaptively adjusted according to each actual geographic location, the altitude of the geographic area, and the environment of the geographic area, for example, the first temperature interval is set to be less than 50 ℃, the second temperature interval is set to be 75-80 ℃, and the third temperature interval is set to be 80-90 ℃.
For example, under the condition that the airflow organization is not changed, the load rates of the data center machine room air conditioning systems are respectively set to be 50%, 60%, 70%, 80% and 90%, under the working condition that the load rate of the data center machine room air conditioning systems is 60% -90%, the temperatures of server chips at more positions are lower than 50 ℃, which indicates that the server chips are in a supercooled state, all the servers are enabled to work at the moment, the air supply temperature of the air conditioning systems is properly increased, and the temperatures of the server chips are ensured to be increased to a normal level; when the temperature distribution of the server chips at a certain position is mainly concentrated between 75 ℃ and 80 ℃, the server chips are in a normal state, all the servers are enabled to work at the moment, the air supply temperature of the air conditioning system is kept unchanged, and when the temperature distribution of the server chips at other positions is mainly concentrated between 80 ℃ and 90 ℃, the server chips are in an overheat state, part of key servers can be enabled to work, and part of unnecessary servers can be turned off, for example, the servers 1, 3 and 2N-1 or the servers 2, 4 and 2N in the figure 3 can work, so that the temperature of the server chips is reduced to a normal level.
And step S106, controlling the total energy consumption of the air conditioning system based on the number of the servers in the working state and the air supply temperature.
For example, M computer room air conditioners and N identical cabinets are arranged in a computer room air conditioning system of a data center, N identical servers are arranged in each cabinet, the types and the number of CPUs configured for each server are identical, all the CPUs have the same utilization rate, the CPU utilization rate of the servers is in direct proportion to the load number of each server, a load scheduling strategy based on server chip temperature sensing is adopted, the thermal state of the servers is represented by chip temperature, server load scheduling and air supply temperature of the air conditioning system are optimized to minimize the total power consumption of the data center, and meanwhile, the chip temperature is controlled below 80 ℃ to ensure that the calculation performance and the stability of the servers are not affected.
Optionally, the control method further includes: determining an optimization parameter of at least one datum using a predetermined genetic calculation model, wherein the at least one datum comprises: the total power consumption of the air-conditioning system, the load of each server, the total load of the air-conditioning system, the air supply temperature of the air-conditioning system and the control chip temperature value of the server.
The optimization parameters or variables comprise the total power consumption of the air conditioning system of the data center machine room, the load of each server, the total load of the air conditioning system, the air supply temperature of the air conditioning system in the working range, the chip temperature of the server lower than a safety threshold value and the like, and the optimal solution can be obtained by adopting a genetic algorithm, wherein the genetic algorithm comprises the following steps: generating an initial population (comprising the total power consumption of the air-conditioning system, the load of each server, the total load of the air-conditioning system, the air supply temperature of the air-conditioning system and the initial value of the temperature value of a control chip of the server); calculating individual fitness; selecting, comparing and mutating to generate a progeny population; calculating individual fitness; judging whether the maximum evolution algebra is reached, if so, outputting the optimal individual, if not, judging whether the maximum stable algebra is reached, if so, outputting the optimal individual, and if not, returning to the step of calculating the individual fitness for the first time.
In an embodiment of the present invention, the at least one data includes: the method comprises the following steps of determining at least one data optimization parameter by adopting a preset genetic calculation mode under the condition of total power consumption of the air conditioning system, wherein the steps comprise: acquiring the refrigeration power consumption of the air conditioning system and the power consumption of a server; and calculating the total power consumption of the air conditioning system by adopting a first preset calculation formula based on the refrigeration power consumption of the air conditioning system and the power consumption of the server.
For a data center adopting a constant-air-volume air conditioning system, because the power consumption of auxiliary equipment such as illumination and power distribution and the air supply power consumption of an air conditioner are relatively stable, the energy consumption can be ignored during the optimization of the energy consumption, therefore, the total power consumption of the air conditioning system can be regarded as the sum of the power consumption of a server and the refrigeration power consumption of the air conditioning system, and a first preset calculation formula is expressed as:
P0＝P1+P2；
P1＝P2COP；
wherein p is0Is the total power consumption, p, of the air conditioning system of the data center room1Is the server power consumption, p2Is the refrigeration power consumption of the air conditioning system.
In an embodiment of the present invention, the at least one data includes: the method comprises the following steps of determining at least one data optimization parameter by adopting a preset genetic calculation mode under the conditions of the load of each server and the total load of the air conditioning system, wherein the steps comprise: acquiring the utilization rate of a Central Processing Unit (CPU) of each server and the number of loads borne by the servers; and calculating the load of each server in each cabinet and the total load of the air conditioning system by adopting a second preset calculation formula based on the CPU utilization rate and the load quantity.
In the embodiment of the invention, the target function can be set as the total power consumption p of the air conditioning system of the data center machine room0Chip temperature of server is TSerThe air supply temperature of the air conditioning system is TCoutUtilization rate u of all CPUsiThe total load is UtotalThe utilization rate of the CPU of the server is in direct proportion to the load, and the variables comprise the air supply temperature of the air conditioning system and the calculation load of each server (namely the utilization rate u of the CPU of the serveri)。
And adopting the following second preset calculation formula to calculate the load of each server and the total load of the air conditioning system:
meanwhile, T is set to be not more than 15 DEG CCoutLimiting the air supply temperature of the air conditioning system within the working range at 35 ℃ or below TSerAnd the temperature of the chip of the server is limited to be lower than a safety threshold value at the temperature of less than or equal to 80 ℃.
The energy consumption of the air conditioning system is expressed by the following formula:
the formula is optimized into a minimal value problem under nonlinear constraint, and a genetic algorithm is adopted for solving.
In an embodiment of the present invention, the at least one data includes: the method comprises the following steps of determining at least one data optimization parameter by adopting a preset genetic calculation mode under the condition of air supply temperature of the air conditioning system, wherein the steps comprise: determining a utilization rate value range of each server and a temperature value range of air supply temperature; and calculating the optimal value of the air supply temperature of the air conditioning system by adopting a third preset calculation formula based on the utilization ratio value range of each server and the temperature value range of the air supply temperature.
The following third preset calculation formula: sj＝[TCout,u]＝[TCout,u1,u2,...,uN]The genetic algorithm comprises the following steps: coding, fitness function, selection, crossing, mutation, termination condition, decoding, and in order to obtain the optimal scheme of server load distribution and air conditioning system supply air temperature.
In the embodiment of the invention, the chromosome is limited to select the integer coding form through the third preset calculation formula, and the utilization rate u of the serveriThe value range of (1) is {0, 0.05, 0.1.., 1}, and the value range of the air supply temperature of the air-conditioning system is TCout15, 15.5, 16. When the genetic algorithm is adopted for calculation, the size of each generation of population can be set to be 200, the air supply temperature of the air conditioning system is set to be 15 ℃ by chromosomes of an initial population, the calculation load is evenly distributed among the server clusters, and the total power consumption of the air conditioning system is taken as a fitness function by the genetic algorithm and is expressed as the following formula:
optionally, the control method further includes: and calculating a server load scheduling parameter which enables the power consumption of the air conditioning system to be minimum by adopting a third preset calculation formula based on the utilization rate value range of each server and the temperature value range of the air supply temperature.
At this time, the approximate optimal solution obtained by the genetic algorithm is the optimal scheme of the server load scheduling and the air supply temperature of the air conditioning system, which enables the power consumption of the air conditioning system to be minimum. In the solving process, when the optimal fitness is stable in a certain interval (for example, over 200 generations or the operation reaches the maximum iteration number of 2000), it is considered that the genetic algorithm has converged and the operation is terminated.
Through the embodiment, under the condition that the airflow organization is not changed, hot spots can be effectively eliminated by optimizing the load distribution of the IT equipment, and the cooling power consumption is further reduced. Meanwhile, under the condition that the load quantity is unchanged, the higher the air supply temperature is, the lower the refrigeration power consumption is, and the higher the energy utilization efficiency of the air conditioning system is, so that the problem of low energy utilization efficiency of the air conditioning system caused by the hot points generated by unreasonable airflow organization and server power consumption distribution in the air conditioning system is solved; on the contrary, the lower the air supply temperature is, the higher the refrigeration power consumption is, the lower the energy use efficiency of the air conditioning system is, the waste of the refrigeration power consumption of the data center under the low-load working condition can be reduced by optimizing the server load distribution and the air supply temperature of the air conditioning system and automatically adjusting the working quantity of the servers according to the thermal state of the servers, so that a part of unimportant servers temporarily stop working or all work normally, and the air supply temperature of the air conditioning system is properly increased, the energy use efficiency of the air conditioning system is further improved, the total power consumption of the air conditioning system of the data center machine room is reduced, and the problem of local overheating and supercooling caused by the mismatch of the power consumption distribution of IT equipment.
According to another aspect of the embodiments of the present invention, there is also provided a control method of an air conditioning system, the air conditioning system including: the control method comprises the following steps that air conditioning equipment and a cabinet with a plurality of servers inside are installed, the air conditioning equipment is used for supplying air to each cabinet and dissipating heat of the servers in the cabinet, and the control method comprises the following steps:
acquiring an inlet airflow temperature value of a server;
based on the inlet airflow temperature value, adopting a preset load scheduling strategy to adjust the number of servers in a working state and the air supply temperature of the air conditioning equipment; the method comprises the following steps of adjusting the number of servers in a working state and the air supply temperature of the air conditioning equipment by adopting a preset load scheduling strategy based on an inlet airflow temperature value, wherein the steps comprise: detecting a temperature value of a control chip of the server; based on the temperature value of a control chip of the server and the inlet airflow temperature value of the server, the number of the servers in the working state and the air supply temperature of the air conditioning equipment are adjusted by adopting a preset load scheduling strategy;
and controlling the total energy consumption of the air conditioning system based on the number of the servers in the working state and the air supply temperature.
Through the steps, the inlet airflow temperature value of the server can be obtained; based on the inlet airflow temperature value, adopting a preset load scheduling strategy to adjust the number of servers in a working state and the air supply temperature of the air conditioning equipment; and controlling the total energy consumption of the air conditioning system based on the number of the servers in the working state and the air supply temperature. In the embodiment, the number of the servers and the air supply temperature can be adjusted in time based on a server inlet airflow temperature perception load scheduling strategy, the phenomenon that the servers of the air conditioning system of the data center machine room are locally supercooled and overheated is effectively reduced, the operation cost is reduced, and the energy utilization efficiency is improved, so that the technical problems that in the related technology, the power consumption of IT equipment in the machine room is not matched with the cold supply of the air conditioning system, and the phenomenon of local overheating or supercooling is easily generated are solved.
The invention is described below in connection with an alternative embodiment.
Fig. 4 is a schematic diagram of an alternative control device for an air conditioning system according to an embodiment of the present invention, the air conditioning system including: air conditioning equipment and inside rack that is equipped with a plurality of servers, air conditioning equipment are used for to each rack air supply, for the server heat dissipation in the rack, as shown in fig. 4, this controlling means includes: a first detection unit 41, a first adjustment unit 43, a first control unit 45, wherein,
a first detection unit 41, configured to detect a temperature value of a control chip of the server;
a first adjusting unit 43, configured to adjust, based on the temperature value, the number of servers in the working state and the air supply temperature of the air conditioning equipment by using a preset load scheduling policy;
and a first control unit 45 for controlling the total energy consumption of the air conditioning system based on the number of servers in the operating state and the temperature of the supplied air.
The control device of the air conditioning system can detect the temperature value of the control chip of the server through the first detection unit 41; adjusting the number of servers in a working state and the air supply temperature of the air conditioning equipment by a first adjusting unit 43 based on the temperature value by adopting a preset load scheduling strategy; the total energy consumption of the air conditioning system is controlled by the first control unit 45 based on the adjustment of the number of servers in operation and the temperature of the supplied air. In the embodiment, the number of the servers and the air supply temperature can be adjusted in time based on a temperature sensing load scheduling strategy of a server control chip, the phenomenon that the server of the air conditioning system of the data center room is locally over-cooled and over-heated is effectively reduced, the operation cost is reduced, and the energy utilization efficiency is improved, so that the technical problems that in the related technology, the power consumption of IT equipment in the room is not matched with the cold supply of the air conditioning system, and the phenomenon of local over-heated or over-cooled is easily caused are solved.
Optionally, the first adjusting unit includes: the first determining module is used for determining that a control chip of the server is in a supercooled state when the temperature value is in a first temperature interval, controlling all servers in the cabinet to work and increasing the current air supply temperature to a first target temperature value; the second determining module is used for determining that a control chip of the server is in a normal state when the temperature value is in a second temperature interval, controlling all servers in the cabinet to work, and keeping the air supply temperature of the air conditioning system unchanged, wherein the temperature value in the second temperature interval is higher than the temperature value in the first temperature interval; and the third determining module is used for determining that the control chip of the server is in an overheating state when the temperature value is in a third temperature interval, controlling the first part of servers in the cabinet to work, and closing other servers except the first part of servers to stop working, wherein the temperature value in the third temperature interval is higher than the temperature value in the second temperature interval.
Another optional control device of the air conditioning system further includes: a fourth determining module, configured to determine an optimization parameter of at least one data using a preset genetic computing pattern, where the at least one data includes: the total power consumption of the air-conditioning system, the load of each server, the total load of the air-conditioning system, the air supply temperature of the air-conditioning system and the control chip temperature value of the server.
In an embodiment of the present invention, the at least one data includes: in the case of total power consumption of the air conditioning system, the fourth determining module includes: the first obtaining submodule is used for obtaining the refrigeration power consumption of the air conditioning system and the power consumption of the server; and the first calculation submodule is used for calculating the total power consumption of the air-conditioning system by adopting a first preset calculation formula based on the refrigeration power consumption and the server power consumption of the air-conditioning system.
Optionally, the at least one datum includes: under the condition of the total load of each server and the air conditioning system, the fourth determining module comprises: the second obtaining submodule is used for obtaining the utilization rate of a Central Processing Unit (CPU) of each server and the load number borne by the server; and the second calculating submodule is used for calculating the load of each server in each cabinet and the total load of the air conditioning system by adopting a second preset calculating formula based on the CPU utilization rate and the load quantity.
Alternatively, the at least one datum includes: under the condition of the air supply temperature of the air conditioning system, the fourth determining module comprises: the first determining submodule is used for determining a utilization rate value range of each server and a temperature value range of air supply temperature; and the third calculation sub-module is used for calculating the optimal value of the air supply temperature of the air conditioning system by adopting a third preset calculation formula based on the utilization rate value range of each server and the temperature value range of the air supply temperature.
Optionally, the control device of the air conditioning system further includes: and the calculating unit is used for calculating a server load scheduling parameter which enables the power consumption of the air conditioning system to be minimum by adopting a third preset calculating formula based on the utilization rate value range of each server and the temperature value range of the air supply temperature.
Optionally, the processor model and the number of processors configured for each server are the same, and all the processors have the same utilization rate, where the processor utilization rate of each server is proportional to the load number of each server.
According to another aspect of the embodiments of the present invention, there is also provided a control apparatus of an air conditioning system, the air conditioning system including: air conditioning equipment and inside rack that is equipped with a plurality of servers, air conditioning equipment are used for to each rack air supply, for the server heat dissipation in the rack, and controlling means includes: the first acquisition unit is used for acquiring an inlet airflow temperature value of the server; the second adjusting unit is used for adjusting the number of the servers in the working state and the air supply temperature of the air conditioning equipment by adopting a preset load scheduling strategy based on the inlet airflow temperature value; and the second control unit is used for controlling the total energy consumption of the air conditioning system based on the number of the servers in the working state and the air supply temperature.
The control device of the air conditioning system may further include a processor and a memory, wherein the first detecting unit 41, the first adjusting unit 43, the first control unit 45, and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor comprises a kernel, and the kernel calls a corresponding program unit from the memory. The kernel can be set to be one or more, and the total energy consumption of the air conditioning system is controlled by adjusting the kernel parameters based on the adjustment of the number of the servers in the working state and the air supply temperature.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
According to another aspect of the embodiments of the present invention, there is also provided a machine room air conditioning system including: the system comprises machine room air conditioning equipment and a cabinet, wherein a plurality of servers are arranged in the cabinet, and the air conditioning equipment is used for supplying air to each cabinet and dissipating heat of the servers in the cabinet; a system processor; and a system memory for storing executable instructions for the system processor; wherein the system processor is configured to perform the control method of the air conditioning system of any one of the above via execution of the executable instructions.
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium including a stored computer program, wherein when the computer program runs, an apparatus in which the computer-readable storage medium is located is controlled to execute any one of the above control methods of the air conditioning system.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: detecting a temperature value of a control chip of the server; based on the temperature value, adopting a preset load scheduling strategy to adjust the number of servers in the working state and the air supply temperature of the air conditioning equipment; and controlling the total energy consumption of the air conditioning system based on the number of the servers in the working state and the air supply temperature.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (13)
1. A control method of an air conditioning system, characterized in that the air conditioning system comprises: the control method comprises the following steps that air conditioning equipment and a cabinet with a plurality of servers inside are installed, the air conditioning equipment is used for supplying air to each cabinet and dissipating heat of the servers in the cabinet, and the control method comprises the following steps:
detecting a temperature value of a control chip of the server;
based on the temperature value, adopting a preset load scheduling strategy to adjust the number of servers in a working state and the air supply temperature of the air conditioning equipment;
and controlling the total energy consumption of the air conditioning system based on the number of the servers in the working state and the air supply temperature.
2. The control method according to claim 1, wherein the step of adjusting the number of servers in the operating state and the temperature of the air supply of the air conditioning equipment by using a preset load scheduling policy based on the temperature value comprises:
when the temperature value is in a first temperature interval, determining that a control chip of the server is in a supercooled state, controlling all servers in the cabinet to work, and increasing the current air supply temperature to be a first target temperature value;
when the temperature value is in a second temperature interval, determining that a control chip of the server is in a normal state, controlling all servers in the cabinet to work, and keeping the air supply temperature of the air conditioning system unchanged, wherein the temperature value in the second temperature interval is higher than the temperature value in the first temperature interval;
and when the temperature value is in a third temperature interval, determining that a control chip of the server is in an overheat state, controlling a first part of servers in the cabinet to work, and closing other servers except the first part of servers to stop working, wherein the temperature value in the third temperature interval is higher than the temperature value in the second temperature interval.
3. The control method according to claim 1, characterized by further comprising:
determining an optimization parameter for at least one datum using a predetermined genetic calculation model, wherein the at least one datum comprises: the system comprises the total power consumption of the air conditioning system, the load of each server, the total load of the air conditioning system, the air supply temperature of the air conditioning system and the control chip temperature value of the server.
4. The control method according to claim 3, wherein the at least one data includes: under the condition of the total power consumption of the air conditioning system, the step of determining the optimization parameter of at least one datum by adopting a preset genetic calculation mode comprises the following steps:
acquiring the refrigeration power consumption of the air conditioning system and the power consumption of a server;
and calculating the total power consumption of the air conditioning system by adopting a first preset calculation formula based on the refrigeration power consumption of the air conditioning system and the power consumption of the server.
5. The control method according to claim 3, wherein the at least one data includes: under the condition of the load of each server and the total load of the air conditioning system, the step of determining the optimization parameters of at least one datum by adopting a preset genetic calculation mode comprises the following steps:
acquiring the utilization rate of a Central Processing Unit (CPU) of each server and the number of loads borne by the servers;
and calculating the load of each server in each cabinet and the total load of the air conditioning system by adopting a second preset calculation formula based on the CPU utilization rate and the load quantity.
6. The control method according to claim 3, wherein the at least one data includes: under the condition of the air supply temperature of the air conditioning system, the step of determining the optimized parameter of at least one datum by adopting a preset genetic calculation mode comprises the following steps:
determining a utilization rate value range of each server and a temperature value range of the air supply temperature;
and calculating the optimal value of the air supply temperature of the air conditioning system by adopting a third preset calculation formula based on the utilization rate value range of each server and the temperature value range of the air supply temperature.
7. The control method according to claim 6, characterized by further comprising:
and calculating a server load scheduling parameter which enables the power consumption of the air conditioning system to be minimum by adopting the third preset calculation formula based on the utilization rate value range of each server and the temperature value range of the air supply temperature.
8. The control method according to any one of claims 1 to 7, wherein the type of the processor and the number of the processors configured for each server are the same, and all the processors have the same utilization rate, wherein the processor utilization rate of each server is proportional to the load number of each server.
9. A control method of an air conditioning system, characterized in that the air conditioning system comprises: the control method comprises the following steps that air conditioning equipment and a cabinet with a plurality of servers inside are installed, the air conditioning equipment is used for supplying air to each cabinet and dissipating heat of the servers in the cabinet, and the control method comprises the following steps:
acquiring an inlet airflow temperature value of a server;
based on the inlet airflow temperature value, adopting a preset load scheduling strategy to adjust the number of servers in a working state and the air supply temperature of the air conditioning equipment;
and controlling the total energy consumption of the air conditioning system based on the number of the servers in the working state and the air supply temperature.
10. A control device of an air conditioning system, characterized in that the air conditioning system comprises: air conditioning equipment and inside rack that is equipped with a plurality of servers, air conditioning equipment is used for to each the rack air supply, for server heat dissipation in the rack, controlling means includes:
the first detection unit is used for detecting the temperature value of the control chip of the server;
the first adjusting unit is used for adjusting the number of servers in a working state and the air supply temperature of the air conditioning equipment by adopting a preset load scheduling strategy based on the temperature value;
and the first control unit is used for controlling the total energy consumption of the air conditioning system based on the adjustment of the number of the servers in the working state and the air supply temperature.
11. A control device of an air conditioning system, characterized in that the air conditioning system comprises: air conditioning equipment and inside rack that is equipped with a plurality of servers, air conditioning equipment is used for to each the rack air supply, for server heat dissipation in the rack, controlling means includes:
the first acquisition unit is used for acquiring an inlet airflow temperature value of the server;
the second adjusting unit is used for adjusting the number of servers in a working state and the air supply temperature of the air conditioning equipment by adopting a preset load scheduling strategy based on the inlet airflow temperature value;
and the second control unit is used for controlling the total energy consumption of the air conditioning system based on the adjustment of the number of the servers in the working state and the air supply temperature.
12. A machine room air conditioning system, comprising:
the system comprises machine room air conditioning equipment and cabinets in which a plurality of servers are arranged, wherein the air conditioning equipment is used for supplying air to each cabinet and dissipating heat of the servers in the cabinets;
a system processor; and
a system memory to store executable instructions for the system processor;
wherein the system processor is configured to perform the control method of the air conditioning system of any one of claims 1 to 9 via execution of the executable instructions.
13. A computer-readable storage medium, comprising a stored computer program, wherein when the computer program runs, the computer-readable storage medium controls an apparatus to execute the control method of the air conditioning system according to any one of claims 1 to 9.
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