CN117529069A - Data center peak-valley electricity application control method and management and control server - Google Patents
Data center peak-valley electricity application control method and management and control server Download PDFInfo
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- CN117529069A CN117529069A CN202410021033.8A CN202410021033A CN117529069A CN 117529069 A CN117529069 A CN 117529069A CN 202410021033 A CN202410021033 A CN 202410021033A CN 117529069 A CN117529069 A CN 117529069A
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- 230000005611 electricity Effects 0.000 title claims abstract description 62
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000006243 chemical reaction Methods 0.000 claims abstract description 83
- 238000010438 heat treatment Methods 0.000 claims abstract description 56
- 238000013523 data management Methods 0.000 claims abstract description 19
- 238000007726 management method Methods 0.000 claims abstract description 15
- 238000001514 detection method Methods 0.000 claims description 68
- 230000008859 change Effects 0.000 claims description 40
- 238000004364 calculation method Methods 0.000 claims description 18
- 230000007613 environmental effect Effects 0.000 claims description 7
- 230000000630 rising effect Effects 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 5
- 230000017525 heat dissipation Effects 0.000 description 12
- 230000000694 effects Effects 0.000 description 9
- 230000001276 controlling effect Effects 0.000 description 8
- 238000001816 cooling Methods 0.000 description 8
- 230000020169 heat generation Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 230000021715 photosynthesis, light harvesting Effects 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
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Classifications
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/16—Constructional details or arrangements
- G06F1/20—Cooling means
- G06F1/206—Cooling means comprising thermal management
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- 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
Abstract
The invention relates to the technical field of air conditioners, in particular to a data center peak-valley electricity application control method and a management and control server, which solve the problems: in order to solve the problem of reducing the power cost when the data center operates by adjusting the air outlet temperature of the air conditioner in the peak-to-valley electricity conversion period, the invention provides a data center peak-to-valley electricity application control method, which comprises the following steps: adding electric equipment in the data center into a data management database, acquiring historical temperature of peak-to-valley electricity conversion period, and obtaining predicted temperature according to the difference value of the historical temperature and the quantity; acquiring a temperature threshold value and an initial temperature of the air conditioner; calculating the heating efficiency of the server; calculating an adjustment threshold of the server in a peak-to-valley electricity conversion period according to the heating efficiency; comparing the highest temperature with an adjustment threshold value, and adjusting the air outlet temperature of the air conditioner; and after the peak-to-valley electricity conversion period is finished, the temperature of the air outlet is adjusted to a first temperature, and the first temperature is lower than the initial temperature.
Description
Technical Field
The invention relates to the technical field of air conditioners, in particular to a data center peak-valley electricity application control method and a management and control server.
Background
In the process of daily operation and maintenance, the electric power cost reaches over sixty percent of the total cost, in order to ensure that the server can normally operate, the data center needs to control the temperature within a certain range through an air conditioner, at present, the air outlet temperature of the air conditioner in the data center is not provided with corresponding adjustment measures aiming at peak-valley electricity, the air outlet temperature of the air conditioner in the peak-valley electricity period and the peak-valley electricity period is the same, in the continuous operation of the data center for 24 hours, the air outlet temperature of the air conditioner is increased in the peak-valley electricity conversion period, and the air outlet temperature is reduced after entering the valley electricity period, and the electric power cost is reduced by adjusting the output power of the air conditioner in different periods.
Disclosure of Invention
The invention solves the problems that: and how to adjust the air outlet temperature of the air conditioner in the peak-to-valley electricity conversion period, and reduce the electric cost of the data center during operation.
In order to solve the above problems, an embodiment of the present invention provides a data center peak-valley electricity application control method, where the control method includes: establishing a data management base, adding electric equipment in a data center into the data management base, wherein the electric equipment comprises a server and an air conditioner; acquiring historical temperature of peak-to-valley electricity conversion period of the last day and the number difference value of servers operated on the same day and the last day; predicting the environmental temperature of the data center in the peak-to-valley electrical conversion period of the current period according to the difference value of the historical temperature and the quantity to obtain a predicted temperature; acquiring a temperature threshold value of normal operation of a data center and an air outlet temperature of an air conditioner during normal operation from a data management library, and recording the temperature threshold value as an initial temperature; calculating the heating efficiency of the server when the air outlet temperature of the air conditioner is adjusted from the initial temperature to the temperature threshold value; equidistant setting a plurality of temperature detection points on a cabinet for placing a server along the height direction, acquiring the temperature of each temperature detection point when the time enters a peak-to-valley electricity conversion period, obtaining a first detection result, and calculating the highest temperature of a data center according to the first detection result; calculating an adjustment threshold value corresponding to each moment of the server in the peak-to-valley electricity conversion period according to the heating efficiency; comparing the highest temperature with an adjustment threshold value to obtain a first comparison result, and adjusting the air outlet temperature of the air conditioner according to the first comparison result; after the peak-valley electricity conversion period is finished, the temperature of the air outlet is adjusted to the first temperature, the highest temperature is periodically obtained, and whether the highest temperature can be lower than the initial temperature in the valley electricity period is judged; wherein the first temperature is lower than the initial temperature.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the setting of the data management library enables electric equipment in the data center to be easier to manage, the acquisition of the historical temperature can quickly obtain the basic condition of the operation of the server, the calculation of the quantity difference value can avoid the influence of a newly added server and an obsolete server on the temperature, the predicted temperature is more accurate, the heating efficiency is calculated, after the temperature of the air outlet is improved, the temperature rising condition of the server is obtained, the adjustment time of the air outlet temperature can be better controlled, the influence caused by the height difference existing between temperature detection points can be avoided by the calculation of the highest temperature, the time of temperature adjustment is increased as much as possible under the premise of ensuring the normal operation of the server, the temperature of the server can be reduced by improving the operation power of the air conditioner after entering a valley period, and the low electricity price of the valley period is reasonably utilized.
In one embodiment of the present invention, predicting the ambient temperature of the data center in the peak-to-valley electrical transition period of the current period according to the difference between the historical temperature and the number to obtain the predicted temperature specifically includes: acquiring the number of servers operated in the peak-to-valley electrical conversion period in the last day, obtaining a first number result, and acquiring the number of servers operated in the peak-to-valley electrical conversion period in the current day, obtaining a second number result; calculating a quantity difference value according to the first quantity result and the second quantity result; and calculating the theoretical temperature change condition of the data center according to the quantity difference value to obtain the predicted temperature.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: when a large number of changes occur in the number of servers, the calculation of the predicted temperature can correct the acquired temperature according to actual conditions, and the influence of the number difference on the ambient temperature in the peak-to-valley electricity conversion period is fully considered.
In one embodiment of the present invention, calculating the heating efficiency of the server when the air outlet temperature of the air conditioner is adjusted from the initial temperature to the temperature threshold value specifically includes: acquiring a power change value of the air conditioner after the air outlet temperature is regulated to the temperature threshold value; and calculating the heating efficiency of the server according to the power variation value.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: by acquiring the power change value, the temperature change in the data center after the temperature of the air outlet rises is predicted, so that the heating efficiency of the server is calculated more accurately.
In one embodiment of the present invention, a plurality of temperature detection points are equidistantly arranged along a height direction on a cabinet in which a server is placed, when time enters a peak-to-valley electrical conversion period, a temperature of each temperature detection point is obtained, a first detection result is obtained, and a maximum temperature of a data center is calculated according to the first detection result, which specifically includes: screening the first detection result to obtain a temperature detection point with the highest temperature value, and marking the temperature detection point as a target detection point; calculating a temperature difference value between a target detection point and an adjacent temperature detection point to obtain a first temperature difference result; and calculating the highest temperature of the data center according to the first temperature difference result.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: through screening the first detection result, the highest temperature of the server is determined to be at the specific position of the cabinet, then the heat dissipation efficiency is comprehensively calculated to calculate the temperature change value, the influence caused by the height difference between adjacent temperature detection points is reduced, and the highest temperature in the server is more accurate.
In one embodiment of the present invention, calculating, according to heat generating efficiency, an adjustment threshold value corresponding to each moment of a server in a peak-to-valley electrical conversion period, specifically includes: calculating the time required by the server to rise from the highest temperature to the temperature threshold according to the heating efficiency, and recording the time as a first time result; and calculating an adjustment threshold corresponding to each moment in the peak-to-valley electrical conversion period according to the time length of the peak-to-valley electrical conversion period and the first time result.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the first time result is calculated through the current heating efficiency, the adjustment mode of the air conditioner can be judged according to the current working state of the server, the setting of the adjustment threshold value can be avoided, the fact that the highest temperature of the server exceeds the highest threshold value after the temperature of the air conditioner is adjusted, and the fact that the server is damaged due to adjustment of the air outlet temperature is avoided.
In one embodiment of the present invention, comparing the maximum temperature with an adjustment threshold to obtain a first comparison result, and adjusting the air outlet temperature of the air conditioner according to the first comparison result, specifically includes: when the highest temperature is greater than or equal to the adjustment threshold value and less than the temperature threshold value, keeping the air outlet temperature unchanged, detecting the highest temperature in real time, and adjusting the air outlet temperature according to the highest temperature; when the maximum temperature is smaller than the adjustment threshold, the temperature of the air outlet is raised to the temperature threshold, the maximum temperature is periodically obtained, and the temperature of the air outlet is adjusted according to the change condition of the maximum temperature.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the adjustment threshold provides a reference index for changing the air outlet temperature of the air conditioner, the air conditioner can be reasonably controlled according to the highest temperature of the server at any time in the peak-to-valley electricity conversion period, and after the air outlet temperature is increased, the highest temperature of the server is kept to be detected, so that the operation safety of the server in the peak-to-valley electricity conversion period is ensured.
In one embodiment of the present invention, when the maximum temperature is less than the adjustment threshold, the air outlet temperature is raised to the temperature threshold, the maximum temperature is periodically obtained, and the air outlet temperature is adjusted according to the variation of the maximum temperature, which specifically includes: obtaining the highest temperature again at intervals of the first target time to obtain a temperature check result, recording the temperature check result, and comparing the temperature check result with an adjustment threshold value; when the temperature check result is smaller than or equal to the adjustment threshold value, controlling the air conditioner to operate at the air outlet temperature of the temperature threshold value; when the temperature check result is larger than the adjustment threshold value, the variation amplitude of the highest temperature is obtained according to the temperature check results, and the air outlet temperature of the air conditioner is adjusted according to the variation amplitude.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the setting of the first target time realizes periodic monitoring on the highest temperature of the server, ensures that the server can work normally after the air outlet temperature is adjusted, and when the predicted heating efficiency deviates, the setting of a plurality of temperature checking results can be timely adjusted according to actual conditions, so that the high-temperature running time of the air conditioner is improved as much as possible, and the electric energy consumed by the air conditioner in the peak electricity period is reduced.
In one embodiment of the present invention, after the peak-to-valley electrical conversion period is finished, the air outlet temperature is adjusted to the first temperature, the maximum temperature is periodically obtained, and whether the maximum temperature can be lower than the initial temperature in the valley electrical period is judged, which specifically includes: obtaining the highest temperature at intervals of a second target time to obtain a subsequent temperature result, and obtaining the variation trend of the highest temperature according to a plurality of subsequent temperature results; when the change trend is rising, the temperature of the air outlet is adjusted to a second temperature; when the change trend is declining, calculating the change amplitude of the highest temperature according to the subsequent temperature result; judging whether the highest temperature can be lower than the initial temperature in the valley period according to the variation amplitude; if yes, the air outlet temperature of the air conditioner maintains the first temperature; if not, the air outlet temperature of the air conditioner is adjusted to the second temperature; wherein the second temperature is lower than the first temperature.
Compared with the prior art, the technical effect achieved by adopting the technical scheme is as follows: the setting of the second target time enables the data management library to monitor the highest temperature of the server in the valley period, the calculation of the change amplitude ensures that the highest temperature of the server can be reduced to the initial temperature in the valley period, the air outlet temperature of the air conditioner in the peak period is not influenced, the setting of the first temperature and the second temperature can control the cooling rate of the highest temperature of the server in the valley period, and the adjustment of the cooling rate is realized.
In an embodiment of the present invention, the present invention further provides a data center management and control server, where the peak-to-valley electricity application control method of the data center described in the foregoing embodiment is applied to the management and control server, and the management and control server includes: the data management base is arranged on the storage module; the detection module is used for detecting the ambient temperature; the calculation module is used for calculating heating efficiency; the control module is used for controlling the air conditioner, and the data center management and control server has all the technical characteristics of the control method and is not described in detail herein.
Drawings
For a clearer description of the technical solutions of the embodiments of the present invention, the drawings to be used in the description of the embodiments will be briefly introduced, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art;
FIG. 1 is a flow chart of a method for controlling peak-to-valley electricity application in a data center according to the present invention;
FIG. 2 is a second flowchart of a method for controlling peak-to-valley electricity application in a data center according to the present invention;
FIG. 3 is a third flowchart of a method for controlling peak-to-valley electricity application in a data center according to the present invention;
FIG. 4 is a fourth flowchart of a method for controlling peak-to-valley electricity application in a data center according to the present invention;
FIG. 5 is a fifth flowchart of a data center peak-to-valley electricity application control method of the present invention;
FIG. 6 is a system diagram of a data center management server according to the present invention.
Reference numerals illustrate:
100-controlling a server; 110-a memory module; 120-a detection module; 130-a calculation module; 140-control module.
Detailed Description
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
[ first embodiment ]
Referring to fig. 1, in a specific embodiment, the present invention provides a data center peak-to-valley electricity application control method, where the control method includes:
s100, establishing a data management base, and adding electric equipment in a data center into the data management base, wherein the electric equipment comprises a server and an air conditioner;
s200, acquiring the historical temperature of the peak-to-valley electricity conversion period of the last day and the number difference value of servers operated on the same day and the last day;
S300, predicting the environmental temperature of the data center in the peak-to-valley electrical conversion period of the current period according to the difference value of the historical temperature and the quantity to obtain a predicted temperature;
s400, acquiring a temperature threshold value and a standard temperature of normal operation of the data center and an air outlet temperature of the air conditioner during normal operation from a data management library, recording the temperature as an initial temperature, and calculating heating efficiency of the server when the air outlet temperature of the air conditioner is adjusted from the initial temperature to the temperature threshold value;
s500, equidistantly setting a plurality of temperature detection points on a cabinet for placing a server along the height direction, acquiring the temperature of each temperature detection point when time enters a peak-to-valley electricity conversion period, obtaining a first detection result, and calculating the highest temperature of a data center according to the first detection result;
s600, calculating an adjustment threshold value corresponding to each moment of the server in the peak-to-valley electricity conversion period according to the heating efficiency, comparing the highest temperature with the adjustment threshold value to obtain a first comparison result, and adjusting the air outlet temperature of the air conditioner according to the first comparison result;
s700, after the peak-valley electricity conversion period is finished, adjusting the air outlet temperature to a first temperature, periodically acquiring the highest temperature, and judging whether the highest temperature in the valley electricity period can be lower than the standard temperature;
Wherein the first temperature is lower than the initial temperature.
In step S100, the electric equipment of the data center is generally composed of a main device and a supporting device, wherein the main device includes a computing device and a communication device, the computing device may be divided into a server and a memory, and the supporting device may be divided into an air conditioner, a management system and a power supply and distribution device.
In step S200, the server is the most basic main device of the data center, the server is placed on the cabinet, the server will not be powered off after starting to operate, the temperature of the server needs to be detected in real time during the operation of the server, so as to ensure the normal operation of the server, the peak-to-valley power conversion period is usually two hours before the peak-to-valley power is entered, for example, the peak-to-valley power conversion period is from 23 to 7 days, then from 21 to 23 days is determined as the peak-to-valley power conversion period, the temperature of each peak-to-valley power conversion period is recorded in the data management database and is recorded as the historical temperature, the operation number of the server is counted every morning, although the server will not be powered off after starting to operate, there may be newly added servers every day, and the server cannot be continuously used, so that in order to avoid the influence of the change of the number of the server on the temperature, the number difference of the server needs to be calculated in each peak-to be calculated.
In step S300, the time length of one cycle is usually one day, the environmental temperature of the data center needs to be controlled at 21 ℃ to 25 ℃, the air outlet temperature of the air conditioner is usually below 21 ℃ when the comprehensive server works, the environmental temperature in the peak-to-valley electricity conversion period is not changed under most conditions, and obvious fluctuation only occurs when the number of running servers is greatly changed, so that the influence caused by the fluctuation needs to be reduced, and the environmental temperature needs to be predicted according to the quantity difference value to obtain the predicted temperature.
In step S400, the temperature threshold is the highest temperature required to be maintained by the data center, the standard temperature is the average temperature of continuous operation when the air outlet temperature of the server is the initial temperature, when the ambient temperature is required to be controlled at 21 ℃ to 25 ℃, the corresponding temperature threshold is 25 ℃, the initial temperature is the temperature of the air conditioner running in the daytime period, and meanwhile, the heating efficiency after the temperature adjustment of the air conditioner is calculated according to the running load of the indoor server and the thermal load of the data center environment, so as to calculate the heating condition of the server after the temperature adjustment of the air conditioner.
In step S500, the server is usually placed in the cabinet, when the temperature of the server is detected, the temperature condition of the server is reflected by the temperature of the temperature detection points, a height interval is formed between two adjacent temperature detection points, each temperature detection point is provided with a temperature sensor, the highest temperature of the data center is calculated according to the distances between three continuous temperature sensors, it can be understood that the operation of the air conditioner is mainly used for cooling the server, therefore, the highest temperature in the data center can occur in the place where the servers are densely placed, and the calculation is performed by integrating the temperature data of the three temperature detection points in order to make the value of the highest temperature more accurate.
In step S600, after the calculation of the heating efficiency is completed, the heating rate of the server after the temperature adjustment can be obtained, when the air outlet temperature of the air conditioner is raised, the server is in a continuous heating state in the peak-to-valley electrical conversion period, in order to avoid the excessive temperature, the temperature of the adjustment threshold needs to be greater than the initial temperature and less than the temperature threshold in order to limit the temperature adjustment time, after the air outlet temperature is adjusted, the highest temperature is periodically compared with the adjustment threshold, when the highest temperature is less than or equal to the adjustment threshold, the heating condition of the server is illustrated to be in a controllable range, the air conditioner can continue with the current air outlet temperature, and when the highest temperature is greater than the adjustment threshold, in order to avoid the continuous heating of the server, the air outlet temperature needs to be reduced, and the highest temperature is prevented from continuously rising.
In step S700, after the peak-to-valley electrical conversion period is finished, since the air outlet temperature of the air conditioner is operated for a period of time higher than the initial temperature, the temperature in the data center must rise, and at the initial temperature, the temperature that the data center can reach is relatively stable, so in order to reduce the temperature that rises in the peak-to-valley electrical conversion period, the air outlet temperature needs to be adjusted to a first temperature that is lower than the initial temperature, the temperature of the data center slowly falls in the valley electrical period, and by adjusting the first temperature, the maximum temperature of the data center can be lower than the standard temperature before the valley electrical period is finished.
It can be understood that the lower the air-out temperature of the air conditioner is, the higher the power required to be consumed is, and the higher the power cost is, in the related art, in order to maintain the normal operation of the data center, the air-out temperature of the air conditioner is not changed correspondingly in the peak-to-valley period or the peak-to-valley period, but the air-out temperature of the air conditioner is raised in the peak-to-valley period, although the server can be slowly raised in the period, the normal operation of the server is not affected, the power cost in the peak-to-valley period is reduced, the air-out temperature of the air conditioner is reduced again after the air-out period is entered, the power consumption in the peak-to-valley period is reduced by adjusting the air-out temperature of the air conditioner, the power cost in the peak-to-valley period is slightly increased, the power cost in the peak-to-valley period is usually 1.4 times the power cost in the peak-to-valley period, and the power cost in the data center can still be effectively reduced.
The setting of the data management library enables electric equipment in the data center to be easier to manage, the acquisition of the historical temperature can quickly obtain the basic condition of the operation of the server, the calculation of the quantity difference value can avoid the influence of a newly added server and an obsolete server on the temperature, the predicted temperature is more accurate, the heating efficiency is calculated, after the temperature of the air outlet is improved, the temperature rising condition of the server is obtained, the adjustment time of the air outlet temperature can be better controlled, the influence caused by the height difference existing between temperature detection points can be avoided by the calculation of the highest temperature, the time of temperature adjustment is increased as much as possible under the premise of ensuring the normal operation of the server, the temperature of the server can be reduced by improving the operation power of the air conditioner after entering a valley period, and the low electricity price of the valley period is reasonably utilized.
[ second embodiment ]
Referring to fig. 2, in a specific embodiment, predicting the ambient temperature of the data center in the peak-to-valley electrical transition period of the current period according to the difference between the historical temperature and the number to obtain the predicted temperature specifically includes:
s310, acquiring the number of servers operated in the peak-to-valley electrical conversion period in the last day to obtain a first number result, and acquiring the number of servers operated in the peak-to-valley electrical conversion period in the current day to obtain a second number result;
s320, calculating a quantity difference value according to the first quantity result and the second quantity result;
s330, calculating theoretical temperature change conditions of the data center according to the quantity difference value to obtain a predicted temperature.
In steps S310 to S330, the heat dissipation efficiency in the data center is related to the load amount placed in the data center, the larger the load amount is, the lower the heat dissipation efficiency is, the larger the influence of the newly added server on the temperature is, the smaller the load amount is, the higher the heat dissipation efficiency is, and the smaller the influence of the newly added server on the temperature is.
The heating power of each newly added server is obtained, and the heating power is calculated according to the following formula:
q=p× (1-E) +p×e×c, where Q represents the heat generation power, P represents the power of the server, E represents the electrical energy efficiency of the server, C is the thermal energy dissipation power of the server, and is typically between 0.75 and 1, for example, the power of one server is 500W, the electrical energy efficiency is 0.8, the thermal energy dissipation power is 0.9, i.e., p=500, e=0.8, c=0.9, and the normal heat generation power q=460W of the server.
After the calculation of the heating value is finished, the heat exchange intensity of the data center is combined, the real heating condition is calculated when the server works in the data center, the volume of the data center is obtained, the energy of 1192 joules is required to be consumed according to the 1 cubic meter air temperature rise under the standard condition, the influence of the quantity difference value on the temperature in the peak-to-valley electrical conversion period is calculated through the volume of the data center, and the influence is combined with the temperature when the peak-to-valley electrical conversion period is entered.
For example, when the peak-to-valley electrical conversion period is entered, the temperature of the data center is 22.5 ℃, the effect of the newly added server in the peak-to-valley electrical conversion period is 0.1 ℃ according to the number difference and the normal heating power Q, at this time, the change result corresponding to the theoretical temperature change condition is recorded as 0.1 ℃, and the temperature of the data center needs to be added with the temperature corresponding to the change result, that is, the temperature of the data center should be 22.6 ℃ during the subsequent calculation.
It should be noted that when the number of the replaced servers is small, the theoretical temperature change is not obvious, and only when a large number of newly added servers are added or when a large number of servers are eliminated, the obvious temperature change occurs.
When a large number of changes occur in the number of servers, the calculation of the predicted temperature can correct the acquired temperature according to actual conditions, and the influence of the number difference on the ambient temperature in the peak-to-valley electricity conversion period is fully considered.
[ third embodiment ]
Referring to fig. 3, in a specific embodiment, calculating the heating efficiency of the server when the outlet air temperature of the air conditioner is adjusted from the initial temperature to the temperature threshold value specifically includes:
s410, acquiring a power change value of the air conditioner after the temperature of the air outlet is adjusted to a temperature threshold value;
s420, calculating the heating efficiency of the server according to the power change value.
In step S410, when the set outlet air temperature of the air conditioner is raised, and the outlet air temperature is obtained as the temperature threshold, the output power of the air conditioner compressor is obtained again, and when the outlet air temperature is the initial temperature, the output powers of the air conditioner compressor are compared to obtain a power variation value, and the power variation value is recorded as Δp.
In step S420, when the air outlet temperature of the air conditioner is the initial temperature, the operation temperature of the server is relatively stable, and when the air outlet temperature is reduced, the overall temperature in the data center is slowly increased, and meanwhile, the operation temperature of the server is also affected.
For example, taking Δp=100deg.w, when the air outlet temperature is raised from the initial temperature to the temperature threshold, 100 joules of energy per second in the data center cannot be evacuated, taking the room volume as 500m, and recording the heating efficiency of the server as Y, then Y= (500×1192)/(100×3600) =1.65 ℃/h, i.e. the temperature of the server will rise by 1.65 ℃ after the air conditioner is operated at the air outlet temperature of the temperature threshold for one hour.
By acquiring the power change value, the temperature change in the data center after the temperature of the air outlet rises is predicted, so that the heating efficiency of the server is calculated more accurately.
[ fourth embodiment ]
Referring to fig. 4, in a specific embodiment, a plurality of temperature detection points are equidistantly arranged along a height direction on a cabinet where a server is placed, when time enters a peak-to-valley electrical conversion period, a temperature of each temperature detection point is obtained, a first detection result is obtained, and a maximum temperature of a data center is calculated according to the first detection result, which specifically includes:
s510, screening the first detection result to obtain a temperature detection point with the highest temperature value, and marking the temperature detection point as a target detection point;
s520, calculating a temperature difference value between a target detection point and an adjacent temperature detection point to obtain a first temperature difference result;
And S530, calculating the highest temperature of the data center according to the first temperature difference result.
In step S510, the temperature of each temperature sensor is obtained to obtain the highest temperature displayed on the temperature sensor, the temperature detection point corresponding to the temperature sensor is used as the target detection point of the cabinet, a plurality of cabinets are arranged in the data center, the corresponding target detection point needs to be screened for each cabinet, and then the highest temperature corresponding to each cabinet is calculated.
It should be noted that, a height section is formed between adjacent temperature sensors, and a height section is also formed between the temperature sensor located at the lowest end and the mounting surface, for example, the height of the cabinet is 42U, and the temperature sensors are mounted at positions of 0,6U, 12U,18U, 24U,30U, 36U and 42U, so that 7 height sections of (0,6U), [6U,12U ], [12U,18U ], [18U,24U ], [24U,30U ], [30U,36U ] and [36U,42U ] are formed.
In step S520, the temperature change value caused by the height value is calculated according to the heat dissipation efficiency, and it can be understood that the higher the heat dissipation efficiency is, the higher the temperature is at the same distance, so that the temperature detection point can not represent the highest temperature on the cabinet due to different temperature change values at different height values.
In step S530, the temperature change value is related to the heat dissipation efficiency of the cabinet, and when calculating the highest temperature, it is necessary to first assume that the temperature of one of the temperature detection points is the maximum temperature of the height section, calculate the temperature of the other temperature detection point according to the temperature change value, and compare the calculated temperature with the actual temperature of the temperature detection point to further obtain the highest temperature.
For example, the temperature of the temperature detection point at 18U is recorded as T a The temperature at the temperature detection point at 24U is T b The temperature change value is DeltaT, T is taken a =31.5℃，T b =31.5 ℃, Δt=1 ℃, assuming T first b For [18U, 24U), T can be derived from DeltaT a Should be 30.5℃in which case T a =31.5 ℃, description T b And T is a The values of the temperature range are obtained after heat dissipation, the highest temperature in the height range is higher than 31.7 ℃, the specific position of the highest temperature in the height range is calculated according to DeltaT, the temperature in the height range is converted according to the heat dissipation area by equal ratio, and if T is taken a =31℃，T b =31.7 ℃, Δt=1 ℃, from Δt, T can be derived a Should be 30.7deg.C, T at this time a And T is b The difference of (2) is 0.7 ℃, the heat dissipation distance of 0.7 ℃ is 4.2U under the current temperature change value, the distance of the highest temperature point from 24U is B, the distance of the highest temperature point from 18U is A, and the heat dissipation distance is calculated according to the following calculation:
A+B=6U；
A-B=4.2U；
Solving to obtain a=5.1u and b=0.9u, wherein the height of the highest temperature point is 23.1U, and the temperature of the highest temperature point is: 31.7+0.9++6= 31.85 ℃.
And after the maximum temperature of each cabinet is calculated, comparing the maximum temperatures to obtain the maximum temperature of the servers in the data center.
Through screening the first detection result, the highest temperature of the server is determined to be at the specific position of the cabinet, then the heat dissipation efficiency is comprehensively calculated to calculate the temperature change value, the influence caused by the height difference between adjacent temperature detection points is reduced, and the highest temperature in the server is more accurate.
[ fifth embodiment ]
Referring to fig. 5, in a specific embodiment, calculating, according to the heating efficiency, an adjustment threshold value corresponding to each time of the server in the peak-to-valley electrical conversion period specifically includes:
s610, calculating the time required for the server to rise from the highest temperature to the temperature threshold according to the heating efficiency, and recording the time as a first time result;
s620, calculating adjustment thresholds corresponding to all moments in the peak-to-valley electrical conversion period according to the time length of the peak-to-valley electrical conversion period and the first time result.
In step S610, the highest temperature is recorded as T 0 The temperature threshold is T 2 The first time result is t 1 The following relationship is satisfied between the first time result, the maximum temperature, and the temperature threshold:
t 1 =（T 2 －T 0 ）÷Y。
for example, take T 0 =23.5℃，T 2 Y=1.5 ℃/h at 25 ℃, at which time t 1 = (25-23.5)/(1.5=1 (hours), i.e. in the current state, after the air outlet problem of the air conditioner rises to the temperature threshold, the maximum temperature of the server reaches the temperature threshold after one hour.
In step S620, the adjustment threshold is calculated according to the heating efficiency of the server, when the temperature of the server is lower than the adjustment threshold, and after the temperature of the air outlet of the air conditioner rises to the temperature threshold, the maximum temperature of the server does not reach the temperature threshold in the peak-to-valley electrical conversion period, that is, the server can operate in the normal temperature range, so that when the adjustment threshold is calculated, the remaining time of the peak-to-valley electrical conversion period needs to be obtained, and the remaining time is recorded as t 2 Adjust the threshold to T 3 ，T 3 =T 2 －t 2 ×Y。
For example, the time length of the peak-to-valley electrical conversion period is two hours, the valley electrical conversion period is from 23 hours on the day to 7 hours on the next day, then the peak-to-valley electrical conversion period is from 21 hours on the day to 23 hours, take T 2 When the temperature is 25 ℃ and Y is 1 ℃/h, T is as of day 21 3 =25-1×2=23 ℃, at the time of day 22, T 3 =25－1×1=24℃。
It should be noted that, the adjustment thresholds at different moments are stored in the data management library after the heating efficiency is calculated, and the air conditioner does not need to adjust after reaching the peak-to-valley electrical conversion period when adjusting the air outlet temperature, but needs to calculate by combining the adjustment thresholds.
The first time result is calculated through the current heating efficiency, the adjustment mode of the air conditioner can be judged according to the current working state of the server, the setting of the adjustment threshold value can be avoided, the fact that the highest temperature of the server exceeds the highest threshold value after the temperature of the air conditioner is adjusted, and the fact that the server is damaged due to adjustment of the air outlet temperature is avoided.
[ sixth embodiment ]
In a specific embodiment, comparing the highest temperature with the adjustment threshold to obtain a first comparison result, and adjusting the air outlet temperature of the air conditioner according to the first comparison result specifically includes:
s630, when the highest temperature is greater than or equal to the adjustment threshold value and less than the temperature threshold value, keeping the air outlet temperature unchanged, detecting the highest temperature in real time, and adjusting the air outlet temperature according to the highest temperature;
and S640, when the maximum temperature is smaller than the adjustment threshold, the temperature of the air outlet is raised to the temperature threshold, the maximum temperature is periodically obtained, and the temperature of the air outlet is adjusted according to the change condition of the maximum temperature.
In step S630, after entering the peak-to-valley electrical conversion period, when the maximum temperature is greater than or equal to the adjustment threshold, it is indicated that the temperature of the air conditioner is adjusted at this time, before reaching the valley electrical period, the maximum temperature of the server will reach the maximum temperature, in order to ensure the normal operation of the server, and keep the air outlet temperature unchanged, the maximum temperature of the server is updated in real time in the peak-to-valley electrical conversion period, and when the maximum temperature is lower than the corresponding temperature threshold, the air outlet temperature is adjusted.
For example, taking y=1 ℃/h, the peak-to-valley electrical conversion period is 21 to 23 days, the peak-to-valley electrical conversion period is 21 days, the peak-to-valley electrical conversion period is 24 ℃ and the peak-to-valley electrical conversion period is 22.5 ℃, the peak-to-valley electrical conversion period is not required to satisfy the condition of the peak-to-valley electrical conversion period, and the peak-to-valley electrical conversion period is not required to satisfy the condition of the peak-to-valley electrical conversion period.
In step S640, after entering the peak-to-valley electrical conversion period, when the highest temperature is less than the adjustment threshold, the air conditioner directly satisfies the adjustment condition, after entering the peak-to-valley electrical conversion period, the air outlet temperature of the air conditioner is raised from the initial temperature to the temperature threshold, and after the adjustment is completed, the detection of the highest temperature is continuously maintained, so that the influence on the normal operation of the server due to the overhigh temperature of the server is avoided.
The adjustment threshold provides a reference index for changing the air outlet temperature of the air conditioner, the air conditioner can be reasonably controlled according to the highest temperature of the server at any time in the peak-to-valley electricity conversion period, and after the air outlet temperature is increased, the highest temperature of the server is kept to be detected, so that the operation safety of the server in the peak-to-valley electricity conversion period is ensured.
[ seventh embodiment ]
In a specific embodiment, when the maximum temperature is less than the adjustment threshold, the air outlet temperature is raised to the temperature threshold, the maximum temperature is periodically obtained, and the air outlet temperature is adjusted according to the variation condition of the maximum temperature, which specifically includes:
s641, acquiring the highest temperature again at intervals of the first target time to obtain a temperature check result, recording the temperature check result, and comparing the temperature check result with an adjustment threshold value;
s642, when the temperature check result is smaller than or equal to the adjustment threshold value, controlling the air conditioner to operate at the air outlet temperature of the temperature threshold value;
s643, when the temperature checking result is larger than the adjusting threshold value, the variation amplitude of the highest temperature is obtained according to the temperature checking results, and the air outlet temperature of the air conditioner is adjusted according to the variation amplitude.
In steps S641 to S642, a temperature check result is obtained every time a first target time, typically 10 minutes, is elapsed, each temperature check result is recorded during the peak-to-valley electrical conversion period of each day, and is compared with the corresponding adjustment threshold value when the temperature check result is obtained.
For example, taking y=0.96 ℃/h, the first target time is 10 minutes, at 21, the maximum temperature of the server is 23 ℃, the temperature threshold is 25 ℃, after calculation according to the heating efficiency, the adjustment threshold is 23.08 ℃, the air outlet temperature of the air conditioner meets the adjustment condition, and after 10 minutes, the maximum temperature of the server is 23.1 ℃ again after detection, and the adjustment threshold is 23.2 ℃, and by comparison, the air outlet temperature of the air conditioner still meets the adjustment condition, so that the air outlet temperature of the air conditioner is controlled without changing.
In step S643, when the heating rate of the server is too fast and exceeds the expected heating efficiency, a plurality of temperature inspection results are combined to determine, the actual heating efficiency of the server after the air outlet temperature of the air conditioner is adjusted is calculated according to the plurality of temperature inspection results, the actual heating efficiency is compared with the expected heating efficiency, and the adjustment time of the air outlet temperature of the air conditioner is calculated according to the difference of the heating efficiencies and the temperature threshold.
For example, taking Y=0.9deg.C/h, the first target time is 10 minutes, when entering the peak-to-valley electrical conversion period, the maximum temperature of the server is 23 ℃ and the corresponding adjustment threshold is 23.2 ℃, the last five first temperature results are 23.2 ℃, 23.4 ℃, 23.6 ℃, 23.8 ℃ and 24 ℃, the adjustment threshold corresponding to each first temperature result is 23.35 ℃, 23.5 ℃, 23.65 ℃, 23.8 ℃ and 23.95 ℃, respectively, when the fifth temperature result is obtained, the first temperature result is greater than the adjustment threshold, at this time, the change amplitude of the maximum temperature of the server needs to be calculated according to the first temperature, and the actual heating efficiency of the server is 1.2 ℃/h, which is different from the heating efficiency Y by 0.3 ℃/h, and under the actual heating efficiency, the maximum temperature of the server in the valley period is 25.4 ℃, and the conversion is performed according to the actual heating efficiency, (25.4-25)/(1.2=0.3 hour), so that the adjustment time of the air outlet temperature of the air conditioner needs to be advanced by 0.3 hour, namely the air outlet temperature of the air conditioner needs to be adjusted to the initial temperature at 42 minutes at 22 hours.
When the air outlet temperature of the air conditioner is not adjusted, the air outlet temperature of the air conditioner is controlled to be increased as long as the highest temperature of the server is lower than the temperature threshold value, and after the air outlet temperature of the air conditioner is increased, the air outlet temperature of the air conditioner is not reduced due to a temperature detection result.
The setting of the first target time realizes periodic monitoring on the highest temperature of the server, ensures that the server can work normally after the air outlet temperature is adjusted, and when the predicted heating efficiency deviates, the setting of a plurality of temperature checking results can be timely adjusted according to actual conditions, so that the high-temperature running time of the air conditioner is improved as much as possible, and the electric energy consumed by the air conditioner in the peak electricity period is reduced.
[ eighth embodiment ]
In a specific embodiment, after the peak-to-valley electrical conversion period is finished, the air outlet temperature is adjusted to the first temperature, the highest temperature is periodically obtained, and whether the highest temperature can be lower than the initial temperature in the valley electrical conversion period is judged, which specifically includes:
s710, obtaining the highest temperature at intervals of a second target time, obtaining a subsequent temperature result, and obtaining the variation trend of the highest temperature according to a plurality of subsequent temperature results;
S720, when the change trend is rising, adjusting the temperature of the air outlet to a second temperature;
s730, calculating the variation amplitude of the highest temperature according to the subsequent temperature result when the variation trend is declining;
s731, judging whether the highest temperature can be lower than the initial temperature in the valley period according to the change amplitude;
s732, if yes, maintaining the air outlet temperature of the air conditioner at a first temperature; if not, the air outlet temperature of the air conditioner is adjusted to the second temperature;
wherein the second temperature is lower than the first temperature.
In steps S710 to S720, the second target time is typically 15 minutes, and it is detected whether the maximum temperature of the server is reduced according to a plurality of subsequent temperature results, and if the maximum temperature of the server is not reduced, it is necessary to further increase the output power of the air conditioner, that is, reduce the air outlet temperature of the air conditioner.
The first temperature and the second temperature are both lower than the initial temperature.
In steps S730 to S732, five subsequent temperature results are selected, and the variation amplitude of the maximum temperature of the server is calculated according to the method in step S643, so as to obtain the cooling efficiency in the valley period, obtain the remaining time of the valley period, and obtain the difference between the last subsequent temperature result and the initial temperature.
For example, the cooling efficiency is 0.4 ℃/h, the remaining time of the valley period is 5 hours, the difference between the last subsequent temperature result and the initial temperature is 1.5 ℃, in this case, only 3.75 hours are needed to reduce the highest temperature of the server to the initial temperature, so that the air conditioner operates at the first temperature, and after the highest temperature of the server is reduced to the initial temperature, the air outlet temperature is increased from the first temperature to the initial temperature. If the cooling efficiency is 0.1 ℃/h, the remaining time of the valley period is 3 hours, the difference between the last subsequent temperature result and the initial temperature is 1 ℃, in this case, it takes 10 hours to reduce the highest temperature of the server to the initial temperature, which exceeds the time length of the valley period, so that the air outlet temperature of the air conditioner needs to be reduced again at this time, that is, the air conditioner is controlled to operate at the second temperature.
After the highest temperature of the server is reduced to the initial temperature in the valley period, the air conditioner is adjusted to the initial temperature to operate, so that the electric energy consumption in the valley period is reduced.
The setting of the second target time enables the data management library to monitor the highest temperature of the server in the valley period, the calculation of the change amplitude ensures that the highest temperature of the server can be reduced to the initial temperature in the valley period, the air outlet temperature of the air conditioner in the peak period is not influenced, the setting of the first temperature and the second temperature can control the cooling rate of the highest temperature of the server in the valley period, and the adjustment of the cooling rate is realized.
[ ninth embodiment ]
Referring to fig. 6, in a specific embodiment, the present invention further provides a data center management and control server, where the peak-valley electricity application control method of the data center described in the foregoing embodiment is applied to the management and control server, where the management and control server includes: the data management base is arranged on the storage module; the detection module is used for detecting the ambient temperature; the calculation module is used for calculating heating efficiency; the control module is used for controlling the air conditioner, and the data center management and control server has all the technical characteristics of the control method and is not described in detail herein.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention should be assessed accordingly to that of the appended claims.
Claims (9)
1. A data center peak to valley electricity application control method, the control method comprising:
establishing a data management base, and adding electric equipment in a data center into the data management base, wherein the electric equipment comprises a server and an air conditioner;
Acquiring a historical temperature of a peak-to-valley electrical conversion period of a previous day and a quantity difference between the current day and the servers operated on the previous day;
predicting the environmental temperature of the data center in the peak-to-valley electrical conversion period of the current period according to the historical temperature and the quantity difference value to obtain a predicted temperature;
acquiring a temperature threshold value and a standard temperature of the normal operation of the data center and the air outlet temperature of the air conditioner during the normal operation from the data management library, and recording the temperature threshold value and the standard temperature as initial temperature;
calculating the heating efficiency of the server when the air outlet temperature of the air conditioner is adjusted from the initial temperature to the temperature threshold value;
setting a plurality of temperature detection points on a cabinet in which the server is placed at equal intervals along the height direction, acquiring the temperature of each temperature detection point when time enters the peak-to-valley electricity conversion period, obtaining a first detection result, and calculating the highest temperature of the data center according to the first detection result;
calculating an adjustment threshold value corresponding to each moment of the server in the peak-to-valley electricity conversion period according to the heating efficiency;
comparing the highest temperature with the adjustment threshold value to obtain a first comparison result, and adjusting the air outlet temperature of the air conditioner according to the first comparison result;
When the peak-valley electricity conversion period is finished, the air outlet temperature is adjusted to a first temperature, the highest temperature is periodically obtained, and whether the highest temperature can be lower than the standard temperature in the valley electricity period is judged;
wherein the first temperature is lower than the initial temperature.
2. The data center peak-to-valley electricity application control method according to claim 1, wherein predicting the environmental temperature of the data center in the peak-to-valley electricity conversion period of the current period according to the historical temperature and the quantity difference value to obtain a predicted temperature specifically comprises:
acquiring the number of the servers operated in the peak-to-valley electrical conversion period in the last day to obtain a first number result, and acquiring the number of the servers operated in the peak-to-valley electrical conversion period in the current day to obtain a second number result;
calculating the quantity difference according to the first quantity result and the second quantity result;
and calculating the theoretical temperature change condition of the data center according to the quantity difference value to obtain the predicted temperature.
3. The data center peak-to-valley electricity application control method according to claim 2, wherein the calculating the heating efficiency of the server when the outlet air temperature of the air conditioner is adjusted from the initial temperature to the temperature threshold value specifically includes:
Acquiring a power change value of the air conditioner after the air outlet temperature is adjusted to the temperature threshold value;
and calculating the heating efficiency of the server according to the power variation value.
4. The peak-to-valley electricity application control method of claim 3, wherein the setting a plurality of temperature detection points for the cabinet in which the server is to be placed at equal intervals in the height direction, when time enters the peak-to-valley electricity conversion period, obtaining the temperature of each temperature detection point to obtain a first detection result, and calculating the highest temperature of the data center according to the first detection result specifically includes:
screening the first detection result to obtain the temperature detection point with the highest temperature value, and marking the temperature detection point as a target detection point;
calculating a temperature difference value between the target detection point and the adjacent temperature detection point to obtain a first temperature difference result;
and calculating the highest temperature of the data center according to the first temperature difference result.
5. The data center peak-to-valley electricity application control method according to claim 3, wherein the calculating the adjustment threshold value corresponding to each moment of the server in the peak-to-valley electricity conversion period according to the heating efficiency specifically includes:
Calculating the time required by the server to rise from the highest temperature to the temperature threshold according to the heating efficiency, and recording the time as a first time result;
and calculating the adjustment threshold corresponding to each moment in the peak-to-valley electrical conversion period according to the time length of the peak-to-valley electrical conversion period and the first time result.
6. The method for controlling peak-to-valley electricity application of a data center according to claim 5, wherein comparing the maximum temperature with the adjustment threshold value to obtain a first comparison result, and adjusting the outlet air temperature of the air conditioner according to the first comparison result, specifically includes:
when the maximum temperature is greater than or equal to the adjustment threshold value and is smaller than the temperature threshold value, keeping the air outlet temperature unchanged, detecting the maximum temperature in real time, and adjusting the air outlet temperature according to the maximum temperature;
when the maximum temperature is smaller than the adjustment threshold, the air outlet temperature is raised to the temperature threshold, the maximum temperature is periodically obtained, and the air outlet temperature is adjusted according to the change condition of the maximum temperature.
7. The method for controlling peak-to-valley electricity application of a data center according to claim 6, wherein when the maximum temperature is smaller than the adjustment threshold, raising the outlet air temperature to the temperature threshold, periodically obtaining the maximum temperature, and adjusting the outlet air temperature according to a variation of the maximum temperature, specifically comprising:
Acquiring the highest temperature again at intervals of a first target time to obtain a temperature check result, recording the temperature check result, and comparing the temperature check result with the adjustment threshold value;
when the temperature check result is smaller than or equal to the adjustment threshold value, controlling the air conditioner to operate at the air outlet temperature of the temperature threshold value;
and when the temperature checking result is larger than the adjusting threshold value, acquiring the variation amplitude of the highest temperature according to a plurality of temperature checking results, and adjusting the air outlet temperature of the air conditioner according to the variation amplitude.
8. The method for controlling peak-to-valley electricity application of a data center according to claim 7, wherein after the peak-to-valley electricity conversion period is finished, adjusting the outlet air temperature to a first temperature, periodically acquiring the maximum temperature, and determining whether the maximum temperature can be lower than the initial temperature in the valley electricity period, specifically comprises:
acquiring the highest temperature at intervals of a second target time to obtain a subsequent temperature result, and acquiring the variation trend of the highest temperature according to a plurality of subsequent temperature results;
when the change trend is rising, the temperature of the air outlet is adjusted to a second temperature;
When the change trend is declining, calculating the change amplitude of the highest temperature according to the subsequent temperature result;
judging whether the highest temperature can be lower than the initial temperature in a valley period according to the change amplitude;
if yes, the outlet air temperature of the air conditioner maintains the first temperature;
if not, the air outlet temperature of the air conditioner is adjusted to the second temperature;
wherein the second temperature is lower than the first temperature.
9. A data center management and control server to which the control method according to any one of claims 1 to 8 is applied, the management and control server comprising:
the data management library is arranged on the storage module;
the detection module is used for detecting the ambient temperature;
the calculation module is used for calculating the heating efficiency;
and the control module is used for controlling the air conditioner.
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