CN118301911A

CN118301911A - Air conditioner control method for data center, electronic equipment and storage medium

Info

Publication number: CN118301911A
Application number: CN202410440493.4A
Authority: CN
Inventors: 陈永圣; 刘刚; 米新锋; 胡志强
Original assignee: Shenzhen Yaode Data Service Co ltd
Current assignee: Shenzhen Yaode Data Service Co ltd
Filing date: 2024-04-12
Publication date: 2024-07-05

Abstract

The application provides an air conditioner control method of a data center, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring specified component temperature and load related parameters of a server; determining a theoretical refrigeration capacity through the specified component temperature and the load related parameter; determining target output refrigerating capacity according to the theoretical refrigerating capacity and the refrigerating capacity required by the environment; judging whether the target output refrigerating capacity is larger than the theoretical maximum refrigerating capacity at the current dew point temperature; and determining the output refrigerating capacity to be adjusted according to the judging result, and controlling the air conditioner to refrigerate according to the output refrigerating capacity to be adjusted. According to the scheme, the load change condition of the server can be responded in time, the temperature rising speed is controlled before the ambient temperature rises rapidly, the excessive rise of the ambient temperature is avoided, and the temperature of the server is prevented from being out of control due to the ambient temperature rising.

Description

Air conditioner control method for data center, electronic equipment and storage medium

Technical Field

The present application relates to the field of refrigeration control technologies, and in particular, to an air conditioner control method for a data center, an electronic device, and a computer readable storage medium.

Background

With the development of big data and artificial intelligence application, the power density and load of the server are greatly changed, especially in the application scenes of AI (ARTIFICIAL INTELLIGENCE ) autonomous learning algorithm and big model algorithm. When the load of the server changes, the air outlet temperature of the server can become high, so that the temperature of the data center where the server is located is increased. In the traditional scheme, the air conditioner measures the supply air temperature, the return air temperature or the ambient temperature near the server through a temperature sensor arranged on the air conditioner, determines the temperature change condition, and adjusts the refrigerating capacity of the air conditioner according to the temperature change condition.

When the load of the server changes, the air outlet temperature of the server rises. The temperature of the air outlet causes the temperature of the environment surrounding the server to rise until the temperature reaches a temperature threshold value at which the air conditioner increases the refrigeration output. At this time, the time when the ambient temperature rises to the temperature threshold value may be denoted as T1. When the ambient temperature rises to the temperature threshold, a temperature sensor measuring the ambient temperature senses a temperature change for a period of time, which may be denoted as T2. It can be seen that the total time required from the change of the server load to the change of the air conditioner perceived ambient temperature is t1+t2 (the rest of the information transmission, processing time is negligible). During this time, the server is operating under a higher load, and environmental temperature runaway is likely to occur.

Disclosure of Invention

The embodiment of the application aims to provide an air conditioner control method of a data center, electronic equipment and a computer readable storage medium, which are used for timely responding to the load change condition of a server and controlling the temperature rising speed before the ambient temperature rises rapidly, so as to avoid excessive ambient temperature rising and avoid the temperature runaway of the server caused by the ambient temperature rising. The environment temperature is the air supply temperature, the return air temperature or the environment temperature near the server, which are measured by the air conditioner through a temperature sensor arranged on the air conditioner.

In one aspect, the present application provides an air conditioner control method for a data center, which is applied to a controller of the data center, wherein the data center comprises an air conditioner and a server, and includes:

acquiring specified component temperature and load related parameters of the server;

determining a theoretical refrigeration capacity through the specified component temperature and the load related parameter;

Determining target output refrigerating capacity according to the theoretical refrigerating capacity and the refrigerating capacity required by the environment;

judging whether the target output refrigerating capacity is larger than the theoretical maximum refrigerating capacity at the current dew point temperature;

and determining the output refrigerating capacity to be adjusted according to the judging result, and controlling the air conditioner to refrigerate according to the output refrigerating capacity to be adjusted.

In an embodiment, the determining the output refrigeration capacity to be adjusted according to the determination result includes:

If the target output refrigerating capacity is larger than the theoretical maximum refrigerating capacity, taking the theoretical maximum refrigerating capacity as the output refrigerating capacity to be adjusted;

And if the target output refrigerating capacity is not greater than the theoretical maximum refrigerating capacity, taking the target output refrigerating capacity as the output refrigerating capacity to be regulated.

In an embodiment, the method further comprises: judging whether the ambient temperature is in a target temperature interval or not in the refrigerating process of the air conditioner by the output refrigerating capacity to be adjusted; the maximum value of the target temperature interval is determined according to the highest allowable air inlet temperature and the buffer temperature, and the minimum value of the target temperature interval is determined according to the lowest allowable air inlet temperature and the buffer temperature;

If the ambient temperature is not greater than the minimum value of the target temperature interval, controlling the air conditioner to carry out load shedding on the basis of the output refrigerating capacity to be adjusted;

and if the ambient temperature is not less than the maximum value of the target temperature interval, controlling the air conditioner to load on the basis of the output refrigerating capacity to be adjusted.

In an embodiment, the air supply temperature of the air conditioner during refrigeration is greater than the minimum allowable air supply temperature of the server.

In an embodiment, the data center includes a power distribution cabinet for powering the server;

the step of obtaining the load-related parameter includes:

And acquiring the electric quantity parameter of the power distribution cabinet, and determining the load rate of the server by using the electric quantity parameter as a load related parameter.

In one embodiment, the data center comprises a cabinet, wherein a power distribution unit is arranged in the cabinet and is used for supplying power to a server in the cabinet;

the step of obtaining the load-related parameter includes:

and acquiring the electric quantity parameter of the power distribution unit, and determining the load rate of the server by using the electric quantity parameter as a load related parameter.

In an embodiment, the step of obtaining the load-related parameter includes:

And acquiring the CPU utilization rate, the memory utilization rate and the server temperature of the server, and determining the load power of the server as a load related parameter according to the CPU utilization rate, the memory utilization rate and the server temperature.

In an embodiment, the data center comprises a power distribution cabinet and a cabinet, wherein a power distribution unit is arranged in the cabinet, the power distribution cabinet is used for supplying power to the power distribution unit, and the power distribution unit is used for supplying power to a server in the cabinet;

the step of obtaining the load-related parameter includes:

Acquiring an electric quantity parameter of the power distribution cabinet, and determining a first load rate of the server according to the electric quantity parameter;

Acquiring an electric quantity parameter of the power distribution unit, and determining a second load rate of the server according to the electric quantity parameter;

Acquiring the CPU utilization rate, the memory utilization rate and the server temperature of the server, and determining the load power of the server according to the CPU utilization rate, the memory utilization rate and the server temperature;

And determining a load related parameter according to the first load rate, the second load rate and the load power.

In an embodiment, after the controlling the air conditioner to cool at the output cooling capacity to be adjusted, the method further includes:

and when the working time of the air conditioner in the output refrigerating capacity to be adjusted reaches the target time, controlling the air conditioner to switch to the traditional mode for working.

In one embodiment, the air conditioner and the server of the data center are divided into a plurality of subareas in advance, and each subarea comprises a plurality of servers and a plurality of air conditioners;

The obtaining the specified component temperature and load related parameters of the server comprises the following steps:

for each partition, acquiring specified component temperature and load related parameters of all servers in the partition;

The output refrigerating capacity to be adjusted is determined according to the judging result, and the air conditioner is controlled to refrigerate according to the output refrigerating capacity to be adjusted, and the method comprises the following steps:

and determining the output refrigerating capacity to be adjusted of each partition according to the judging result corresponding to the partition, and controlling the air conditioner in the partition to refrigerate according to the output refrigerating capacity to be adjusted of the partition.

In another aspect, the present application provides an electronic device, including:

A processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to execute the air conditioning control method of the data center.

Further, the present application provides a computer-readable storage medium storing a computer program executable by a processor to perform the air conditioning control method of the data center described above.

According to the scheme, under the condition that the load of the server of the data center is changed, the theoretical refrigerating capacity can be determined based on the designated part temperature and the load related parameters of the server, and the theoretical refrigerating capacity is directly related to the load condition of the server; therefore, after the target output refrigerating capacity is determined by the theoretical refrigerating capacity and the environment required refrigerating capacity, the output refrigerating capacity to be adjusted is determined based on the magnitude relation between the target output refrigerating capacity and the theoretical maximum refrigerating capacity at the current dew point temperature, and the output refrigerating capacity to be adjusted is the output refrigerating capacity which responds to the load change of the server in time.

Drawings

In order to more clearly illustrate the technical solution of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below.

Fig. 1 is a schematic diagram of an architecture of an air conditioning control method of a data center according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

fig. 3 is a flow chart of an air conditioner control method of a data center according to an embodiment of the present application;

FIG. 4 is a schematic flow chart of dynamic adjustment of an air conditioner according to an embodiment of the present application;

Fig. 5 is an overall flow chart of an air conditioning control method of a data center according to an embodiment of the present application;

fig. 6 is a block diagram of an air conditioner control device of a data center according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.

Like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.

Fig. 1 is a schematic diagram of an architecture of an air conditioner control method of a data center according to an embodiment of the present application. As shown in fig. 1, the controller of the data center is connected with an air conditioner, a power distribution cabinet and a cabinet of the data center. Servers and power distribution units (PDUs, power Distribution Unit) are configured within the cabinet. The controller can acquire data from the air conditioner, the server, the power distribution cabinet and the power distribution unit through a serial port or a TCP/IP (Transmission Control Protocol/Internet Protocol ) interface, and can issue the refrigeration requirement of the server obtained by self logic operation to the air conditioner, so that the air conditioner can timely execute refrigeration work based on the refrigeration requirement of the server. Here, the controller may be a PLC (Programmable Logic Controller ), DDC (DIRECT DIGIT Control, direct digital Control), or a single chip controller or the like type of device having a calculation and Control function.

As shown in fig. 2, the present embodiment provides an electronic apparatus 1 including: at least one processor 11 and a memory 12, one processor 11 being exemplified in fig. 2. The processor 11 and the memory 12 are connected by a bus 10, and the memory 12 stores instructions executable by the processor 11, which instructions are executed by the processor 11, so that the electronic device 1 may perform all or part of the flow of the method in the embodiments described below. In an embodiment, the electronic device 1 may be a controller of a data center for executing an air conditioning control method of the data center.

The Memory 12 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as static random access Memory (Static Random Access Memory, SRAM), electrically erasable Programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM), erasable Programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.

The present application also provides a computer-readable storage medium storing a computer program executable by the processor 11 to perform the air conditioning control method of the data center provided by the present application.

Referring to fig. 3, a flow chart of a method for controlling an air conditioner in a data center according to an embodiment of the present application, as shown in fig. 3, may include the following steps 310 to 350.

Step 310: acquiring specified component temperature and load related parameters of a server;

Wherein the specified component temperature is a temperature of a specified component that changes in temperature with a change in load on the server. By way of example, the designated component may be a CPU (Central Processing Unit ) of the server, motherboard, graphics card, hard disk, etc. The temperature of the specified part can be detected by a temperature sensor provided to the specified part. The load-related parameter is used to characterize the load level of the server.

During operation of the data center, the controller can monitor the designated component temperature and load related parameters of each server in real time.

Step 320: the theoretical cooling capacity is determined by specifying the component temperature and load related parameters.

The theoretical refrigerating capacity is refrigerating capacity which can meet the operation requirement of the data center server theoretically. In this scheme, the unit of refrigeration capacity may be kilowatts.

The controller can calculate the temperature of the designated part and the relevant parameters of the load according to a preset refrigerating capacity conversion function, so that the theoretical refrigerating capacity is obtained. Here, the cooling capacity conversion function may be fitted by a plurality of sets of sample data, each set of which may include a sample-designated-part temperature, a sample-load-related parameter, and a sample cooling capacity corresponding to the sample-designated-part temperature and the sample-load-related parameter.

Different refrigeration capacity scaling functions may be configured depending on the selected load related parameters. And if the load related parameter corresponds to the single server, the corresponding refrigerating capacity conversion function can calculate the theoretical refrigerating capacity corresponding to the single server, and further, the theoretical refrigerating capacities of the plurality of servers can be summed to obtain the integral theoretical refrigerating capacity. And if the load related parameters correspond to the servers, the corresponding refrigerating capacity conversion function can calculate theoretical refrigerating capacities corresponding to the servers, and the theoretical refrigerating capacities can be summed up according to actual application conditions to obtain the integral theoretical refrigerating capacity.

Step 330: and determining the target output refrigerating capacity according to the theoretical refrigerating capacity and the refrigerating capacity required by the environment.

In an ideal refrigeration balance state of the data center, the sum of the theoretical refrigeration capacity and the refrigeration capacity required by the environment is equal to the actual output refrigeration capacity of the air conditioner. Here, the amount of cooling required for the environment is the amount of cooling required for the space environment, and is affected by the heat of the building maintenance structure, the solar radiation heat entering through the outer window, the heat dissipation of the human body in the space environment, the heat dissipation of the lighting device, the latent heat generated by various kinds of heat dissipation, and the like. The amount of refrigeration required for each workday environment may be preconfigured.

After the theoretical cooling capacity is obtained, the theoretical cooling capacity can be added to the cooling capacity required by the environment to obtain the target output cooling capacity.

Step 340: and judging whether the target output refrigerating capacity is larger than the theoretical maximum refrigerating capacity at the current dew point temperature.

Step 350: and determining the output refrigerating capacity to be adjusted according to the judging result, and controlling the air conditioner to refrigerate according to the output refrigerating capacity to be adjusted.

The current dew point temperature can be obtained by searching in an enthalpy-humidity diagram according to the ambient temperature and the ambient humidity. For an air conditioner of a data center, a mapping relationship between a dew point temperature and a theoretical maximum cooling capacity may be preconfigured, so that the theoretical maximum cooling capacity of the current air conditioner may be determined based on the current dew point temperature.

After the target output cooling capacity is obtained, it may be determined whether the target output cooling capacity is greater than a theoretical maximum cooling capacity, thereby obtaining a determination result. Further, the output refrigerating capacity to be adjusted is determined according to the judging result, and the output refrigerating capacity to be adjusted is the output refrigerating capacity which needs to be achieved by the air conditioner in the data center.

After the output refrigeration capacity to be adjusted is obtained, the controller can control the air conditioner of the data center to perform refrigeration according to the output refrigeration capacity to be adjusted. The controller can calculate the sub-output refrigerating capacity of each air conditioner according to the quantity of the air conditioners to be adjusted and the output refrigerating capacity to be adjusted, and send the sub-output refrigerating capacity to each air conditioner, so that each air conditioner can refrigerate by the sub-output refrigerating capacity.

By the measures, in the case that the load of the server of the data center is changed, the theoretical refrigerating capacity can be determined based on the designated part temperature of the server and the load related parameters, and the theoretical refrigerating capacity is directly related to the load condition of the server; therefore, after the target output refrigerating capacity is determined by the theoretical refrigerating capacity and the environment required refrigerating capacity, the output refrigerating capacity to be adjusted is determined based on the magnitude relation between the target output refrigerating capacity and the theoretical maximum refrigerating capacity at the current dew point temperature, and the output refrigerating capacity to be adjusted is the output refrigerating capacity which responds to the load change of the server in time.

In an embodiment, when the load related parameter is obtained, a first power parameter of a power distribution cabinet supplying power to the server may be obtained. Here, the power distribution cabinet is in butt joint with the plurality of cabinets and is responsible for supplying power to servers in the plurality of cabinets. The first electrical quantity parameter may include power, current, voltage, etc. of the power distribution cabinet. The controller can obtain the first electric quantity parameter of the power distribution cabinet through a serial port or a TCP/IP mode.

After the first power parameter is obtained, a load rate of the server may be determined as a load-related parameter according to the first power parameter. The first electric quantity parameter characterizes the load condition of a plurality of servers under the power distribution cabinet, and the load rate of the plurality of servers under the power distribution cabinet can be determined according to the first electric quantity parameter of any power distribution cabinet. For example, when the power of the power distribution cabinet is selected as the first power parameter, the larger the first power parameter is, the higher the load rates of a plurality of servers under the power distribution cabinet are.

The mapping relation between the first electric quantity parameter and the server load rate can be preconfigured on the controller, so that after the first electric quantity parameter is obtained, the load rate can be directly converted through the mapping relation to be used as a load related parameter.

And for each power distribution cabinet, determining load related parameters of a plurality of servers under the power distribution cabinet according to the first electric quantity parameters of the power distribution cabinet. In other words, all servers of the data center are grouped into a plurality of subgroups in a power distribution cabinet grouping manner, and load-related parameters of the entire subgroups are determined.

By this measure, load-related parameters can be calculated for the server.

In an embodiment, when the load related parameter is obtained, a second power parameter of a power distribution unit in each cabinet for supplying power to the server may be obtained. Here, the second power parameter may include power, current, voltage, and the like of the power distribution unit. The controller can monitor the second electric quantity parameter of each power distribution unit through a serial port or a TCP/IP mode.

After the second power parameter is obtained, a load rate of the server may be determined as a load-related parameter according to the second power parameter. The second electric quantity parameter characterizes the load condition of the server in the cabinet where the power distribution unit is located, and the load rate of the server in the cabinet where the power distribution unit is located can be determined according to the second electric quantity parameter of any power distribution unit. For example, the power of the power distribution unit is selected as the second power parameter, and the larger the second power parameter is, the higher the load rate of the server in the cabinet where the power distribution unit is located is.

The controller may pre-configure a mapping relationship between the second electric quantity parameter and the server load factor, so that after the second electric quantity parameter is obtained, the mapping relationship is converted to the load factor as the load related parameter.

By this measure, the load related parameters of the servers in the respective cabinets can be determined based on the second power parameters of the power distribution units in the respective cabinets.

In one embodiment, the controller may obtain the CPU usage, memory usage, and server temperature for each server when obtaining the load related parameters. The controller may monitor the operation data of the server through an SNMP (Simple Network Management Protocol ) interface or an IPMI (INTELLIGENT PLATFORM MANAGEMENT INTERFACE, intelligent platform management interface) interface of the server, so as to obtain a CPU usage rate, a memory usage rate, and a server temperature. Here, the server temperature may be a designated component temperature of the server, or may be other operation temperatures of the server, such as an air outlet temperature, etc.

Further, the load power of the server can be converted through the CPU utilization rate, the memory utilization rate and the server temperature. The controller can be pre-configured with conversion functions between CPU utilization rate, memory utilization rate and server temperature and load power, so that the conversion functions can be used for converting the CPU utilization rate, memory utilization rate and server temperature acquired in real time to obtain the load power as a load related parameter.

In an embodiment, when acquiring the load related parameter, the controller may acquire a first power parameter of the power distribution cabinet, and determine a first load rate of the server according to the first power parameter. Here, the first load factor is a load factor of the plurality of servers under the power distribution cabinet as a whole. If a plurality of servers are regarded as load balancing, the first load rate is the load rate of each server under the power distribution cabinet.

The controller may obtain a second power parameter of the power distribution unit, and determine a second load rate of the server according to the second power parameter. A second load factor of the servers in each rack may be determined based on a second power parameter of the power distribution unit in the rack.

The controller can acquire the CPU utilization rate, the memory utilization rate and the server temperature of each server, and determine the load power of the server according to the CPU utilization rate, the memory utilization rate and the server temperature.

After the first load rate, the second load rate and the load power of each server are obtained, fusion processing may be performed, so as to obtain load related parameters. For example, the load power of the server may be converted into a third load factor, and then a maximum value, an intermediate value or a minimum value is selected from the first load factor, the second load factor and the third load factor to be used as an actual load factor, and the actual load factor is used as a load-related parameter of the server. Or the load power of the server can be converted into a third load rate, and then the average of the first load rate, the second load rate and the third load rate is calculated and used as an actual load rate, and the actual load rate is used as a load related parameter of the server.

By the measures, the load related parameters can be determined for each server based on the data acquired by the plurality of devices, so that the accuracy of the load related parameters can be improved.

In an embodiment, when step 350 is performed, if the target output cooling capacity is greater than the theoretical maximum cooling capacity, it is indicated that the theoretical maximum cooling capacity of the air conditioner cannot meet the requirement of the server, and the theoretical maximum cooling capacity is taken as the output cooling capacity to be adjusted at this time, so as to offset the influence of the load increase of the server on the environmental temperature to the greatest extent.

If the target output refrigerating capacity is not greater than the theoretical maximum refrigerating capacity, the theoretical maximum refrigerating capacity of the air conditioner can meet the requirement of the server, and the target output refrigerating capacity can be used as the output refrigerating capacity to be adjusted.

By the aid of the method, under the condition that the air conditioner hardware condition can meet the requirement of a server, the optimal output refrigerating capacity is selected as the output refrigerating capacity to be adjusted, good effects are achieved when the air conditioner is controlled to refrigerate subsequently, and accordingly the situation that the temperature of the environment rises too fast due to the fact that the load of the server rises is avoided.

In an embodiment, when executing step 350, during the process of refrigerating the air conditioner with the output refrigeration capacity to be adjusted, the controller may further determine whether the ambient temperature is within the target temperature range, for example, the controller may control the temperature sensor to periodically collect the ambient temperature in real time and determine whether the ambient temperature is within the target temperature range. Wherein the ambient temperature may be collected by an air conditioner. The target temperature interval is a temperature interval which is more suitable when the server normally operates, the maximum value of the target temperature interval is determined according to the highest allowable air inlet temperature and the buffer temperature, and the minimum value of the target temperature interval is determined according to the lowest allowable air inlet temperature and the buffer temperature. Here, the maximum allowable air intake temperature is the maximum air intake temperature allowed when the server normally operates, and the minimum allowable air intake temperature is the minimum air intake temperature allowed when the server normally operates. The buffer temperature may be set as desired, for example, 1 ℃,2 ℃,3 ℃,5 ℃, and the like.

Subtracting the buffer temperature from the highest allowable inlet air temperature to obtain the maximum value of the target temperature interval. And adding the buffer temperature to the minimum allowable inlet air temperature to obtain the minimum value of the target temperature interval.

In an embodiment, in the refrigerating process of the air conditioner with the output refrigerating capacity to be adjusted, if the ambient temperature is not greater than the minimum value of the target temperature interval, the ambient temperature is too low, so that the air conditioner can be controlled to perform load shedding on the basis of the output refrigerating capacity to be adjusted, thereby reducing the refrigerating capacity and avoiding the problem that the server cannot normally operate due to continuous decrease of the ambient temperature. In some embodiments, the preset adjustment amount Δp may be reduced based on the output refrigeration amount to be adjusted, and the preset adjustment amount Δp may be a preset power value, such as 10KW, 20KW, or the like, or the preset adjustment amount Δp may be a preset percentage of the output refrigeration amount to be adjusted, for example, 5%, 10%, or the like.

In another embodiment, in the refrigerating process of the air conditioner with the output refrigerating capacity to be adjusted, if the ambient temperature is not less than the maximum value of the target temperature interval, which indicates that the ambient temperature is too high, the air conditioner can be controlled to load on the basis of the output refrigerating capacity to be adjusted, so as to improve the refrigerating capacity and avoid that the ambient temperature continues to rise, so that the server cannot normally operate. In some embodiments, the preset adjustment amount Δp may be added to the output refrigeration amount to be adjusted, where the preset adjustment amount Δp may be a preset power value, such as 10KW, 20KW, or the like, or the preset adjustment amount Δp may be a preset percentage of the output refrigeration amount to be adjusted, for example, 5%, 10%, or the like.

In another embodiment, in the refrigerating process of the air conditioner with the output refrigerating capacity to be adjusted, if the ambient temperature is within the target temperature interval, no processing is needed, the refrigerating process is continued with the output refrigerating capacity to be adjusted, and the ambient temperature can be continuously monitored, so that a new round of judgment flow is started when the ambient temperature changes.

Referring to fig. 4, a flow chart of dynamic adjustment of an air conditioner according to an embodiment of the present application is shown in fig. 4, where T is an ambient temperature, tmax is a maximum allowable intake air temperature, n is a buffer temperature, and tmin is a minimum operation intake air temperature. In the running process of the air conditioner, the temperature sensor of the air conditioner can periodically collect the ambient temperature T in real time, and the controller can judge whether the T is smaller than the maximum value tmax-n ℃ of the target temperature interval. On the one hand, if the temperature of the environment is not too high, the air conditioner can be controlled to load on the basis of the current refrigerating capacity so as to increase the refrigerating capacity, and the temperature of the environment is continuously monitored. On the other hand, if so, it may be determined whether T is greater than the minimum tmin+n ℃ of the target temperature interval. Under the condition that the environment temperature is too low, if the environment temperature is not too low, the air conditioner can be controlled to carry out load shedding on the basis of the current refrigerating capacity so as to reduce the refrigerating capacity, and the environment temperature is continuously monitored. In another case, if so, the cooling is continued with the current cooling capacity.

By the aid of the method, the upper limit and the lower limit of the ambient temperature can be limited based on the target temperature interval, the ambient temperature is monitored in the air conditioner refrigerating process, the ambient temperature is ensured to be in the target temperature interval, and the phenomenon that the server cannot normally operate is avoided.

In one embodiment, when step 350 is performed, the air conditioner is controlled to supply air at a temperature greater than the minimum allowable air inlet temperature of the server during cooling. By the measures, the phenomenon that servers around the air conditioner cannot normally operate due to the fact that the temperature of the air supply is too low can be avoided.

In an embodiment, after the working time of the air conditioner after the output refrigerating capacity to be adjusted reaches the target time, the air conditioner may be controlled to switch to the conventional mode for working. Here, the target duration may be configured as required, and after the air conditioner works to reach the target duration with the output refrigeration capacity to be adjusted, the influence of sudden increase of the server load on the environmental temperature may be avoided. By way of example, the target duration may be 10 minutes, 20 minutes, 30 minutes, 60 minutes, etc.

When the air conditioner works in the traditional mode, the air conditioner measures the temperature rise condition of the air supply temperature, the return air temperature or the ambient temperature near the server through the self-configured temperature sensor, and then the refrigerating capacity is self-regulated.

The air conditioner control method from step 310 to step 350 can control the air conditioner to adjust the cooling capacity in advance under the condition of the load change of the server so as to cope with the temperature change caused by the load change of the server. However, other complex factors in the space environment of the data center can influence the environment temperature, so that the air conditioner can switch to the traditional mode to work after the output refrigerating capacity is adjusted to the target duration, and the subsequent refrigerating work can be more comprehensively executed on the premise of solving the problem that the temperature of the server is out of control due to excessive rise of the environment temperature.

Referring to fig. 5, an overall flow chart of an air conditioning control method for a data center according to an embodiment of the present application is shown in fig. 5, where theoretical cooling capacity required by a server of the data center may be determined by specifying temperature and load related parameters of the components of the server. The target output refrigerating capacity can be calculated according to the theoretical refrigerating capacity and the refrigerating capacity required by the environment. Further, it is determined whether the target output cooling capacity is greater than the theoretical maximum cooling capacity. On the one hand, if not, the target output refrigeration capacity can be determined as the output refrigeration capacity to be adjusted. On the other hand, if so, the theoretical maximum refrigeration capacity can be determined as the output refrigeration capacity to be adjusted. After the output refrigerating capacity to be adjusted is determined, the air conditioner can be controlled to carry out instructions according to the output refrigerating capacity to be adjusted, and after the working time of the air conditioner reaches the target time, the air conditioner is controlled to switch to the traditional mode for refrigerating.

In one embodiment, the air conditioners and servers of the data center may be pre-divided into a plurality of partitions, each partition including a number of servers and a number of air conditioners. For example, multiple servers under each power distribution cabinet may be partitioned into one partition.

In performing step 310, for each partition, specified component temperatures and load-related parameters for all servers within the partition may be obtained. In this case, the theoretical refrigerating capacity and the target output refrigerating capacity may be calculated for each partition, respectively, and it may be further determined whether the target output refrigerating capacity of each partition is greater than the theoretical maximum refrigerating capacity at the current dew point temperature.

In this embodiment, when step 350 is executed, the output refrigeration capacity to be adjusted of each partition may be determined according to the determination result corresponding to each partition, so as to control the air conditioner of the partition to perform refrigeration according to the output refrigeration capacity to be adjusted of the partition.

By the aid of the measures, air conditioners in all areas of the data center can be controlled in a refrigerating mode more accurately, the temperature rise risk caused by load change of the servers in the subareas is accurately solved by taking the subareas as units, and a better control effect is achieved.

Fig. 6 is a block diagram of an air conditioner control device of a data center including an air conditioner and a server, which is applied to a controller of the data center, according to an embodiment of the present invention, and may include:

An acquisition module 610, configured to acquire specified component temperature and load related parameters of the server;

A first determination module 620 for determining a theoretical cooling capacity from the specified component temperature and the load related parameter;

A second determining module 630, configured to determine a target output refrigeration capacity according to the theoretical refrigeration capacity and the refrigeration capacity required by the environment;

a judging module 640, configured to judge whether the target output refrigeration capacity is greater than a theoretical maximum refrigeration capacity at the current dew point temperature;

And the control module 650 is used for determining the output refrigerating capacity to be adjusted according to the judging result and controlling the air conditioner to refrigerate according to the output refrigerating capacity to be adjusted.

The implementation process of the functions and actions of each module in the above device is specifically shown in the implementation process of corresponding steps in the air conditioning control method of the data center, and will not be described herein.

In the several embodiments provided in the present application, the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.

The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored on a computer readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Claims

1. An air conditioner control method of a data center, applied to a controller of the data center, the data center including an air conditioner and a server, comprising:

2. The method of claim 1, wherein determining the output refrigeration to be adjusted based on the determination comprises:

3. The method according to claim 1, wherein the method further comprises:

Judging whether the ambient temperature is in a target temperature interval or not in the refrigerating process of the air conditioner by the output refrigerating capacity to be adjusted; the maximum value of the target temperature interval is determined according to the highest allowable air inlet temperature and the buffer temperature, and the minimum value of the target temperature interval is determined according to the lowest allowable air inlet temperature and the buffer temperature;

4. The method of claim 1, wherein the air conditioner supplies air at a temperature greater than a minimum allowable intake air temperature of the server when cooling.

5. The method of claim 1, wherein the data center comprises a power distribution cabinet for powering the server;

the step of obtaining the load-related parameter includes:

6. The method of claim 1, wherein the data center comprises a cabinet, wherein a power distribution unit is disposed within the cabinet for powering servers within the cabinet;

the step of obtaining the load-related parameter includes:

7. The method according to claim 1, wherein the step of obtaining the load-related parameter comprises:

8. The method of claim 1, wherein the data center comprises a power distribution cabinet and a cabinet, wherein a power distribution unit is disposed in the cabinet, the power distribution cabinet is used for supplying power to the power distribution unit, and the power distribution unit is used for supplying power to a server in the cabinet;

the step of obtaining the load-related parameter includes:

9. The method of claim 1, wherein after said controlling said air conditioner to cool at said output cooling capacity to be adjusted, said method further comprises:

10. The method according to any one of claims 1 to 9, wherein the air conditioner and the server of the data center are divided into a plurality of partitions in advance, each partition including a plurality of servers and a plurality of air conditioners;

11. An electronic device, the electronic device comprising:

A processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to perform the air conditioning control method of the data center of any one of claims 1-10.

12. A computer-readable storage medium, characterized in that the storage medium stores a computer program executable by a processor to perform the air conditioning control method of the data center according to any one of claims 1 to 10.