CN116489977B - Central variable energy-saving cooling control method, system and medium for data center - Google Patents
Central variable energy-saving cooling control method, system and medium for data center Download PDFInfo
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20709—Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
- H05K7/20836—Thermal management, e.g. server temperature control
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
According to the central variable energy-saving cooling control method, system and medium for the data center, the required cooling capacity of each sub-area is calculated by collecting the temperature, pressure, wind speed and other data of each area of the data center, and the output quantity of each sub-area cooling device is obtained through the preset calculating assembly, wherein the cooling capacity of a low-load sub-area is reduced, the cooling capacity of a high-load area is improved, and the dynamic adjustment is carried out through the internal environment change of the data center, so that the cooling control is more energy-saving and efficient.
Description
Technical Field
The application relates to a data processing and intelligent control system, in particular to a data center central variable energy-saving cooling control method, system and medium.
Background
The data center is used as a high-energy consumption industry, the energy consumption of the heating and ventilation system is increased gradually, the energy consumption of the heating and ventilation system occupies 40% of the whole data center, the energy saving scheme and the mature energy saving equipment parts of the traditional data center heating and ventilation system are distributed relatively and are only improved in a specific equipment or are divided into a scheme, in the data center heating and ventilation system, the central variable searching and central control realizing requirements are particularly outstanding from various equipment such as a cold water host, a refrigerating pump, a cooling pump, a cold storage tank, a precise air conditioner, a double-cold-source multi-connected unit, a cooling tower, a refrigerating unit controller and a valve controller, and a large number of servers and the like are required to be cooled in order to ensure the normal operation of the equipment. The traditional cooling method adopts a constant temperature and humidity air conditioning system, and the method consumes very much power, thereby causing larger energy waste.
Accordingly, there is a need for improvement in the art.
Disclosure of Invention
In view of the above problems, an object of the present application is to provide a method, a system and a medium for controlling central variable energy-saving cooling of a data center, which can provide cooling control for the data center more effectively and more energy-effectively.
The first aspect of the application provides a data center central variable energy-saving cooling control method, which comprises the following steps:
acquiring environmental data of a first time node in a working area based on a preset sensor;
the environmental data of the first time node in the working area is sent to a preset calculation module to obtain the cooling capacity in the working area of the first time node;
Comparing the cooling capacity in the first time node working area with the preset actual running cooling capacity to obtain a first coefficient adjustment model;
Adjusting the first coefficient to a modelSending the first cooling control scheme to a preset control assembly end to obtain a first cooling control scheme;
after the first cooling control scheme is implemented, the adjusted real-time cooling capacity in the working area is obtained；
Adjusting the first coefficient to the modelPresetting the cooling capacity of the actual operation and the real-time cooling capacity after adjustment>Performing contrast operation to obtain fitting coefficient +.>;
Obtaining a dynamic cooling variable value according to the preset cooling quantity of the actual running of the cooling and the adjusted real-time cooling quantity;
fitting coefficientsThe dynamic cooling variable value is sent to a preset control assembly end to obtain a second cooling control scheme;
after implementation based on the second cooling control scheme, the adjusted real-time cooling capacity is obtained；
The adjusted real-time cooling quantityFirst coefficient adjustment model->And fitting coefficient->Performing model comparison, and performing fitting modeling based on historical data of the execution process of the first cooling control scheme and the second cooling control scheme to obtain a third execution variable +.>；
Will third execution variableAnd the energy-saving cooling control is sent to a preset central intelligent control end to perform energy-saving cooling control.
In this scheme, still include:
dividing the working area according to a preset rule to obtain a plurality of sub-working areas;
acquiring an area value in a sub-working area;
and determining the number and distribution rule of the sensors in the corresponding sub-areas according to the preset area range in which the area value in the sub-working area falls.
In this scheme, still include:
acquiring monitoring data of sensors in the sub-working areas;
comparing and analyzing the monitoring data of the sensors in the sub-working areas to obtain monitoring data difference values of the same type of sensors in the same sub-working area;
and judging whether the difference value of the monitoring data of the same type of sensor in the same sub-working area is smaller than a preset data difference threshold value, and if so, obtaining the environmental data in the sub-area according to the monitoring data of the sensor in the corresponding sub-working area.
In this scheme, still include:
acquiring a temperature value in a working area based on a preset temperature sensor;
judging whether the temperature value in the working area is larger than a preset temperature threshold value, and if so, triggering alarm information;
and sending the alarm information to a preset management end for prompting.
In this scheme, still include:
load information of a cooling unit is obtained;
judging whether the load of the cooling unit is larger than a preset load threshold value, if so, triggering alarm information;
and sending the alarm information to a preset management end for prompting.
In this scheme, the third execution variableAfter being sent to a preset central intelligent control end to perform energy-saving cooling control, the method further comprises the following steps:
based on a third execution variableAfter implementation, acquiring environmental data of a second time node in the working area;
comparing and analyzing the environmental data of the first time node and the environmental data of the second time node in the working area to obtain a dynamic difference value;
judging whether the dynamic difference value is larger than a preset difference threshold value, if so, triggering a new calculation cycle;
and obtaining the next energy-saving cooling control scheme of the preset central intelligent control terminal according to the new calculation cycle.
The second aspect of the present application provides a data center central variable energy-saving cooling control system, including a memory and a processor, where the memory stores a data center central variable energy-saving cooling control method program, and when the data center central variable energy-saving cooling control method program is executed by the processor, the following steps are implemented:
acquiring environmental data of a first time node in a working area based on a preset sensor;
the environmental data of the first time node in the working area is sent to a preset calculation module to obtain the cooling capacity in the working area of the first time node;
Comparing the cooling capacity in the first time node working area with the preset actual running cooling capacity to obtain a first coefficient adjustment model;
Adjusting the first coefficient to a modelSending the first cooling control scheme to a preset control assembly end to obtain a first cooling control scheme;
after the first cooling control scheme is implemented, the adjusted real-time cooling capacity in the working area is obtained；
Adjusting the first coefficient to the modelPresetting the cooling capacity of the actual operation and the real-time cooling capacity after adjustment>Performing contrast operation to obtain fitting coefficient +.>;
Obtaining a dynamic cooling variable value according to the preset cooling quantity of the actual running of the cooling and the adjusted real-time cooling quantity;
fitting coefficientsThe dynamic cooling variable value is sent to a preset control assembly end to obtain a second cooling control scheme;
after implementation based on the second cooling control scheme, the adjusted real-time cooling capacity is obtained；
The adjusted real-time cooling quantityFirst coefficient adjustment model->And fitting coefficient->Performing model comparison, and performing fitting modeling based on historical data of the execution process of the first cooling control scheme and the second cooling control scheme to obtain a third execution variable +.>；
Will third execution variableAnd the energy-saving cooling control is sent to a preset central intelligent control end to perform energy-saving cooling control.
In this scheme, still include:
dividing the working area according to a preset rule to obtain a plurality of sub-working areas;
acquiring an area value in a sub-working area;
and determining the number and distribution rule of the sensors in the corresponding sub-areas according to the preset area range in which the area value in the sub-working area falls.
In this scheme, still include:
acquiring monitoring data of sensors in the sub-working areas;
comparing and analyzing the monitoring data of the sensors in the sub-working areas to obtain monitoring data difference values of the same type of sensors in the same sub-working area;
and judging whether the difference value of the monitoring data of the same type of sensor in the same sub-working area is smaller than a preset data difference threshold value, and if so, obtaining the environmental data in the sub-area according to the monitoring data of the sensor in the corresponding sub-working area.
In this scheme, still include:
acquiring a temperature value in a working area based on a preset temperature sensor;
judging whether the temperature value in the working area is larger than a preset temperature threshold value, and if so, triggering alarm information;
and sending the alarm information to a preset management end for prompting.
In this scheme, still include:
load information of a cooling unit is obtained;
judging whether the load of the cooling unit is larger than a preset load threshold value, if so, triggering alarm information;
and sending the alarm information to a preset management end for prompting.
In this scheme, the third execution variableAfter being sent to a preset central intelligent control end to perform energy-saving cooling control, the method further comprises the following steps:
based on a third execution variableAfter implementation, acquiring environmental data of a second time node in the working area;
comparing and analyzing the environmental data of the first time node and the environmental data of the second time node in the working area to obtain a dynamic difference value;
judging whether the dynamic difference value is larger than a preset difference threshold value, if so, triggering a new calculation cycle;
and obtaining the next energy-saving cooling control scheme of the preset central intelligent control terminal according to the new calculation cycle.
A third aspect of the present application provides a computer medium having stored therein a data center central variable energy-saving cooling control method program which, when executed by a processor, implements the steps of a data center central variable energy-saving cooling control method as described in any one of the above.
According to the central variable energy-saving cooling control method, system and medium for the data center, the required cooling capacity of each sub-area is calculated by collecting the temperature, pressure, wind speed and other data of each area of the data center, and the output quantity of each sub-area cooling device is obtained through the preset calculating assembly, wherein the cooling capacity of a low-load sub-area is reduced, the cooling capacity of a high-load area is improved, and the dynamic adjustment is carried out through the internal environment change of the data center, so that the cooling control is more energy-saving and efficient.
Drawings
FIG. 1 shows a flow chart of a data center central variable energy-saving cooling control method of the present application;
FIG. 2 is a schematic diagram of a data center central variable energy-efficient cooling control system of the present application;
FIG. 3 shows a block diagram of a data center central variable energy-efficient cooling control system of the present application.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, however, the present application may be practiced in other ways than those described herein, and therefore the scope of the present application is not limited to the specific embodiments disclosed below.
FIG. 1 shows a flow chart of a data center central variable energy-saving cooling control method of the present application.
As shown in fig. 1, the application discloses a central variable energy-saving cooling control method for a data center, which comprises the following steps:
s101, acquiring environmental data of a first time node in a working area based on a preset sensor;
s102, sending the environmental data of the first time node in the working area to a preset calculation module to obtain the cooling capacity in the working area of the first time node;
S103, comparing the cooling capacity in the working area of the first time node with the cooling capacity of the preset actual operation to obtain a first coefficient adjustment model;
S104, adjusting the first coefficient to a modelSending the first cooling control scheme to a preset control assembly end to obtain a first cooling control scheme;
s105, after implementing the first cooling control scheme, acquiring the adjusted real-time cooling amount in the working area；
S106, adjusting the first coefficient to the modelPresetting the cooling quantity of actual operation and the real-time cooling quantity after adjustmentPerforming contrast operation to obtain fitting coefficient +.>;
S107, obtaining a dynamic cooling variable value according to the preset cooling capacity of the actual running of the cooling and the adjusted real-time cooling capacity;
s108, fitting coefficientsThe dynamic cooling variable value is sent to a preset control assembly end to obtain a second cooling control scheme;
s109, after implementing the second cooling control scheme, acquiring the adjusted real-time cooling amount；
S110, adjusting the real-time cooling capacityFirst coefficient adjustment model->And fitting coefficient->Performing model comparison, and performing fitting modeling based on historical data of the execution process of the first cooling control scheme and the second cooling control scheme to obtain a third execution variable +.>；
S111, the third execution variableAnd the energy-saving cooling control is sent to a preset central intelligent control end to perform energy-saving cooling control.
The preset sensor includes a temperature sensor, a pressure sensor, a flow sensor, a wind speed sensor, etc., for exampleEnvironmental data acquired by a sensor are respectively a temperature value TE-1, a pressure value PET-1, a flow value FET-1, a wind speed value AET-1 and the like, and the environmental data are sent to a preset calculation module to obtain the cooling capacity in the working area of the first time nodeAnd the preset calculation module is stored with a calculation component. Setting the cooling capacity of the preset actual operation to +.>Forming a fitting coefficient ZXE-0 by using an execution model and actual cooling quantity generated in three times of YXE-1, XE-0 and XE-2, wherein the preset control component end is a local intelligent control end, and cooling control is carried out on each sub-working area; the central intelligent control end coordinates the local intelligent control end of the whole working area and controls cooling, and when a third execution variable is +>After implementation, the cooling control of the present application completes one calculation and the circulation of dynamic variables.
According to an embodiment of the present application, further comprising:
dividing the working area according to a preset rule to obtain a plurality of sub-working areas;
acquiring an area value in a sub-working area;
and determining the number and distribution rule of the sensors in the corresponding sub-areas according to the preset area range in which the area value in the sub-working area falls.
It should be noted that, the working area is divided according to a preset rule to obtain a plurality of sub-working areas, for example, the working areas are divided according to a square grid with a side length of 2 meters. And determining the number of sensors in the corresponding sub-areas according to the preset area range in which the area value in the sub-working area falls, wherein for example, the area value is 4 planar meters and corresponds to 2 sensors, the two corresponding sensors are diagonally arranged, and the number of each sensor in each sub-working area is not less than one.
According to an embodiment of the present application, further comprising:
acquiring monitoring data of sensors in the sub-working areas;
comparing and analyzing the monitoring data of the sensors in the sub-working areas to obtain monitoring data difference values of the same type of sensors in the same sub-working area;
and judging whether the difference value of the monitoring data of the same type of sensor in the same sub-working area is smaller than a preset data difference threshold value, and if so, obtaining the environmental data in the sub-area according to the monitoring data of the sensor in the corresponding sub-working area.
When a plurality of sensors exist in the sub-working area, monitoring data of the plurality of sensors are obtained at the same time, difference value calculation is carried out on the monitoring data of the plurality of sensors, and detection data difference values of the same type of sensors in the same sub-working area are obtained, wherein when the detection data difference values of the same type of sensors in the same sub-working area are smaller than a preset data difference threshold value, the plurality of sensors in the corresponding sub-working area are indicated to work normally, and otherwise, abnormal sensors exist. The preset data difference threshold is set by a person skilled in the art according to actual requirements.
According to an embodiment of the present application, further comprising:
acquiring a temperature value in a working area based on a preset temperature sensor;
judging whether the temperature value in the working area is larger than a preset temperature threshold value, and if so, triggering alarm information;
and sending the alarm information to a preset management end for prompting.
It should be noted that, the central intelligent control end and the local intelligent control end set the temperature alarm threshold, for example, the temperature alarm threshold is set to 80 degrees, and when the temperature value in the working area is greater than the set temperature alarm threshold, the control device automatically sends alarm information to the preset management end, and the alarm information is processed in time by related technicians.
According to an embodiment of the present application, further comprising:
load information of a cooling unit is obtained;
judging whether the load of the cooling unit is larger than a preset load threshold value, if so, triggering alarm information;
and sending the alarm information to a preset management end for prompting.
It should be noted that, the central intelligent control end and the local intelligent control end can also adjust the working mode of the air conditioner according to the actual situation, such as adjusting the load of the cooling unit, starting and stopping the refrigerating unit, when the load of the cooling unit exceeds the preset load threshold, triggering the alarm information and sending the alarm information to the preset management end, and correspondingly adjusting the central intelligent control end or the local intelligent control end through the management end, wherein the preset load threshold is set by a person skilled in the art according to the actual requirement.
According to the embodiment of the application, the third execution variableAfter being sent to a preset central intelligent control end to perform energy-saving cooling control, the method further comprises the following steps:
based on a third execution variableAfter implementation, acquiring environmental data of a second time node in the working area;
comparing and analyzing the environmental data of the first time node and the environmental data of the second time node in the working area to obtain a dynamic difference value;
judging whether the dynamic difference value is larger than a preset difference threshold value, if so, triggering a new calculation cycle;
and obtaining the next energy-saving cooling control scheme of the preset central intelligent control terminal according to the new calculation cycle.
When the third execution variable isAfter implementation, the method is set to complete a cycle of calculation and dynamic variables, and then the environmental data of a second time node in the working area is continuously acquired through the sensor, and the environmental data of a first time point are acquiredAnd carrying out difference calculation on the environmental data at the two time points to obtain a dynamic difference value in the corresponding working area, wherein when the dynamic difference value is larger than a preset difference threshold value, triggering a new calculation cycle, and carrying out cooling control adjustment on the working area again, wherein the preset difference threshold value is set by a person skilled in the art according to actual requirements.
According to an embodiment of the present application, further comprising:
acquiring an outdoor temperature value;
judging whether the outdoor temperature value is smaller than a first temperature threshold value, if so, triggering passive cooling information;
and sending the passive cooling information to a preset central intelligent control end.
It should be noted that, when the outdoor temperature value is smaller than the preset first temperature threshold, for example, the preset first temperature threshold is 5 degrees, and when the outdoor temperature value is smaller than 5 degrees, a passive cooling method is started to cool the data center, where the passive cooling method includes cold ventilation, natural ventilation, and the like.
According to an embodiment of the present application, further comprising:
acquiring a historical temperature value of a working area;
according to the historical temperature value of the working area, obtaining a historical temperature change value in a preset first time period;
determining a sensor working time period coefficient in a corresponding working area based on a preset temperature change value range within which a historical temperature change value falls in a preset first time period;
and obtaining the corresponding working time period of the sensor in the working area according to the preset first time period and the working time period coefficient of the sensor in the working area.
It should be noted that, determining the working time interval of the sensor in the corresponding working area through the historical temperature value of the working area, for example, if the preset first time period is 10 seconds, calculating the historical temperature change value of 10 seconds in the corresponding working area, that is, subtracting the lowest temperature value from the highest temperature value of 10 seconds, and obtaining the working time period coefficient of the sensor in the corresponding working area through judging the preset temperature change value range within which the historical temperature change value of 10 seconds in the working area falls, where the working time period of the sensor in the working area is the working time period coefficient of the sensor in the corresponding working area multiplied by the preset first time period.
According to an embodiment of the present application, further comprising:
sequencing the central intelligent control terminal and the local intelligent control terminal according to a preset rule to obtain the number information of the intelligent control terminal;
when the central intelligent control end is abnormal, the local intelligent control end with high grade number replaces the central intelligent control end;
the number of the central intelligent control terminals is one, and the number of the local intelligent control terminals is not less than one.
It should be noted that, the central intelligent control end and the local intelligent control end form a stacking connection that can replace each other, if the central intelligent control end sends damage or failure, the local intelligent control end with a high-level number is set as the central intelligent control end, for example, the central intelligent control end is set as number 1, the local intelligent control end is respectively formed by number 2, number 3 and number 4, when the central intelligent control end number 1 sends damage or failure, the number 2 of the local intelligent control end will replace the number 1 of the central intelligent control end, and the smaller the number of the intelligent control end is, the higher the number level of the intelligent control end is.
According to an embodiment of the present application, further comprising:
obtaining the continuous working time of a cooling unit;
judging whether the continuous working time of the cooling unit is greater than a preset time threshold, if so, triggering prompt information;
and sending the prompt information to a preset management end for display.
If the preset time threshold is 8 hours, when the continuous working time of the cooling unit is longer than 8 hours, the condition that the load of the corresponding cooling unit is overlarge is indicated, prompt information is triggered, and the cooling unit is correspondingly adjusted through starting and stopping of the cooling unit.
FIG. 2 shows a schematic diagram of a data center central variable energy-efficient cooling control system of the present application.
As shown in fig. 2, the central variable energy-saving cooling control system of the data center comprises a data acquisition system, a computing system, a control system and a data center management system, wherein the data acquisition system comprises various sensors, such as a temperature sensor, a pressure sensor, a flow sensor and the like, the data acquisition system transmits data collected by the sensors to the computing system, the computing system stores a computing component, the computing component calculates the cooling capacity required by each sub-working area according to the acquired data, and then transmits the cooling capacity required by each sub-working area to the control system, and the control system stores a control component, and the control component controls the output quantity of the cooling device according to the cooling capacity required by each sub-working area.
FIG. 3 shows a block diagram of a data center central variable energy-efficient cooling control system of the present application.
As shown in fig. 3, a second aspect of the present application provides a data center central variable energy-saving cooling control system 3, including a memory 31 and a processor 32, where the memory stores a data center central variable energy-saving cooling control method program, and when the data center central variable energy-saving cooling control method program is executed by the processor, the following steps are implemented:
acquiring environmental data of a first time node in a working area based on a preset sensor;
the environmental data of the first time node in the working area is sent to a preset calculation module to obtain the cooling capacity in the working area of the first time node;
Comparing the cooling capacity in the first time node working area with the preset actual running cooling capacity to obtain a first coefficient adjustment model;
Adjusting the first coefficient to a modelSending the first cooling control scheme to a preset control assembly end to obtain a first cooling control scheme;
after the first cooling control scheme is implemented, the adjusted real-time cooling capacity in the working area is obtained；
Adjusting the first coefficient to the modelPresetting the cooling capacity of the actual operation and the real-time cooling capacity after adjustment>Performing contrast operation to obtain fitting coefficient +.>;
Obtaining a dynamic cooling variable value according to the preset cooling quantity of the actual running of the cooling and the adjusted real-time cooling quantity;
fitting coefficientsThe dynamic cooling variable value is sent to a preset control assembly end to obtain a second cooling control scheme;
after implementation based on the second cooling control scheme, the adjusted real-time cooling capacity is obtained；
The adjusted real-time cooling quantityFirst coefficient adjustment model->And fitting coefficient->Model comparison based on first cooling controlFitting modeling is carried out on historical data of the execution process of the control scheme and the second cooling control scheme to obtain a third execution variable +.>；
Will third execution variableAnd the energy-saving cooling control is sent to a preset central intelligent control end to perform energy-saving cooling control.
It should be noted that, the preset sensor includes a temperature sensor, a pressure sensor, a flow sensor, a wind speed sensor, etc., environmental data acquired by the corresponding sensor are a temperature value TE-1, a pressure value PET-1, a flow value FET-1, a wind speed value AET-1, etc., and the environmental data are sent to a preset calculation module to obtain the cooling capacity in the first time node working areaAnd the preset calculation module is stored with a calculation component. Setting the cooling capacity of the preset actual operation to +.>Forming a fitting coefficient ZXE-0 by using an execution model and actual cooling quantity generated in three times of YXE-1, XE-0 and XE-2, wherein the preset control component end is a local intelligent control end, and cooling control is carried out on each sub-working area; the central intelligent control end coordinates the local intelligent control end of the whole working area and controls cooling, and when a third execution variable is +>After implementation, the cooling control of the present application completes one calculation and the circulation of dynamic variables.
According to an embodiment of the present application, further comprising:
dividing the working area according to a preset rule to obtain a plurality of sub-working areas;
acquiring an area value in a sub-working area;
and determining the number and distribution rule of the sensors in the corresponding sub-areas according to the preset area range in which the area value in the sub-working area falls.
It should be noted that, the working area is divided according to a preset rule to obtain a plurality of sub-working areas, for example, the working areas are divided according to a square grid with a side length of 2 meters. And determining the number of sensors in the corresponding sub-areas according to the preset area range in which the area value in the sub-working area falls, wherein for example, the area value is 4 planar meters and corresponds to 2 sensors, the two corresponding sensors are diagonally arranged, and the number of each sensor in each sub-working area is not less than one.
According to an embodiment of the present application, further comprising:
acquiring monitoring data of sensors in the sub-working areas;
comparing and analyzing the monitoring data of the sensors in the sub-working areas to obtain monitoring data difference values of the same type of sensors in the same sub-working area;
and judging whether the difference value of the monitoring data of the same type of sensor in the same sub-working area is smaller than a preset data difference threshold value, and if so, obtaining the environmental data in the sub-area according to the monitoring data of the sensor in the corresponding sub-working area.
When a plurality of sensors exist in the sub-working area, monitoring data of the plurality of sensors are obtained at the same time, difference value calculation is carried out on the monitoring data of the plurality of sensors, and detection data difference values of the same type of sensors in the same sub-working area are obtained, wherein when the detection data difference values of the same type of sensors in the same sub-working area are smaller than a preset data difference threshold value, the plurality of sensors in the corresponding sub-working area are indicated to work normally, and otherwise, abnormal sensors exist. The preset data difference threshold is set by a person skilled in the art according to actual requirements.
According to an embodiment of the present application, further comprising:
acquiring a temperature value in a working area based on a preset temperature sensor;
judging whether the temperature value in the working area is larger than a preset temperature threshold value, and if so, triggering alarm information;
and sending the alarm information to a preset management end for prompting.
It should be noted that, the central intelligent control end and the local intelligent control end set the temperature alarm threshold, for example, the temperature alarm threshold is set to 80 degrees, and when the temperature value in the working area is greater than the set temperature alarm threshold, the control device automatically sends alarm information to the preset management end, and the alarm information is processed in time by related technicians.
According to an embodiment of the present application, further comprising:
load information of a cooling unit is obtained;
judging whether the load of the cooling unit is larger than a preset load threshold value, if so, triggering alarm information;
and sending the alarm information to a preset management end for prompting.
It should be noted that, the central intelligent control end and the local intelligent control end can also adjust the working mode of the air conditioner according to the actual situation, such as adjusting the load of the cooling unit, starting and stopping the refrigerating unit, when the load of the cooling unit exceeds the preset load threshold, triggering the alarm information and sending the alarm information to the preset management end, and correspondingly adjusting the central intelligent control end or the local intelligent control end through the management end, wherein the preset load threshold is set by a person skilled in the art according to the actual requirement.
According to the embodiment of the application, the third execution variableAfter being sent to a preset central intelligent control end to perform energy-saving cooling control, the method further comprises the following steps:
based on a third execution variableAfter implementation, acquiring environmental data of a second time node in the working area;
comparing and analyzing the environmental data of the first time node and the environmental data of the second time node in the working area to obtain a dynamic difference value;
judging whether the dynamic difference value is larger than a preset difference threshold value, if so, triggering a new calculation cycle;
and obtaining the next energy-saving cooling control scheme of the preset central intelligent control terminal according to the new calculation cycle.
When the third execution variable isAfter implementation, the method is set to complete one calculation and circulation of dynamic variables, after that, environmental data of a second time node in the working area is continuously obtained through a sensor, and difference calculation is carried out on the environmental data of the first time point and the environmental data of the second time point to obtain a dynamic difference value in the corresponding working area, wherein when the dynamic difference value is larger than a preset difference threshold, a new calculation circulation is triggered, cooling control adjustment is carried out on the working area again, and the preset difference threshold is set by a person skilled in the art according to actual requirements.
According to an embodiment of the present application, further comprising:
acquiring an outdoor temperature value;
judging whether the outdoor temperature value is smaller than a first temperature threshold value, if so, triggering passive cooling information;
and sending the passive cooling information to a preset central intelligent control end.
It should be noted that, when the outdoor temperature value is smaller than the preset first temperature threshold, for example, the preset first temperature threshold is 5 degrees, and when the outdoor temperature value is smaller than 5 degrees, a passive cooling method is started to cool the data center, where the passive cooling method includes cold ventilation, natural ventilation, and the like.
According to an embodiment of the present application, further comprising:
acquiring a historical temperature value of a working area;
according to the historical temperature value of the working area, obtaining a historical temperature change value in a preset first time period;
determining a sensor working time period coefficient in a corresponding working area based on a preset temperature change value range within which a historical temperature change value falls in a preset first time period;
and obtaining the corresponding working time period of the sensor in the working area according to the preset first time period and the working time period coefficient of the sensor in the working area.
It should be noted that, determining the working time interval of the sensor in the corresponding working area through the historical temperature value of the working area, for example, if the preset first time period is 10 seconds, calculating the historical temperature change value of 10 seconds in the corresponding working area, that is, subtracting the lowest temperature value from the highest temperature value of 10 seconds, and obtaining the working time period coefficient of the sensor in the corresponding working area through judging the preset temperature change value range within which the historical temperature change value of 10 seconds in the working area falls, where the working time period of the sensor in the working area is the working time period coefficient of the sensor in the corresponding working area multiplied by the preset first time period.
According to an embodiment of the present application, further comprising:
sequencing the central intelligent control terminal and the local intelligent control terminal according to a preset rule to obtain the number information of the intelligent control terminal;
when the central intelligent control end is abnormal, the local intelligent control end with high grade number replaces the central intelligent control end;
the number of the central intelligent control terminals is one, and the number of the local intelligent control terminals is not less than one.
It should be noted that, the central intelligent control end and the local intelligent control end form a stacking connection that can replace each other, if the central intelligent control end sends damage or failure, the local intelligent control end with a high-level number is set as the central intelligent control end, for example, the central intelligent control end is set as number 1, the local intelligent control end is respectively formed by number 2, number 3 and number 4, when the central intelligent control end number 1 sends damage or failure, the number 2 of the local intelligent control end will replace the number 1 of the central intelligent control end, and the smaller the number of the intelligent control end is, the higher the number level of the intelligent control end is.
According to an embodiment of the present application, further comprising:
obtaining the continuous working time of a cooling unit;
judging whether the continuous working time of the cooling unit is greater than a preset time threshold, if so, triggering prompt information;
and sending the prompt information to a preset management end for display.
If the preset time threshold is 8 hours, when the continuous working time of the cooling unit is longer than 8 hours, the condition that the load of the corresponding cooling unit is overlarge is indicated, prompt information is triggered, and the cooling unit is correspondingly adjusted through starting and stopping of the cooling unit.
A third aspect of the present application provides a computer medium having stored therein a data center central variable energy-saving cooling control method program which, when executed by a processor, implements the steps of a data center central variable energy-saving cooling control method as described in any one of the above.
The application discloses a central variable energy-saving cooling control method, a system and a storage medium for a data center, which are characterized in that the cooling capacity required by each sub-area is calculated by collecting the temperature, pressure, wind speed and other data of each area of the data center, and the output quantity of each sub-area cooling device is obtained by a preset calculating assembly, wherein the cooling capacity of a low-load sub-area is reduced, the cooling capacity of a high-load area is improved, and the dynamic adjustment is carried out by the change of the internal environment of the data center, so that the cooling control is carried out more energy-saving and more efficient.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present application may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (8)
1. A data center central variable energy-saving cooling control method, comprising:
acquiring environmental data of a first time node in a working area based on a preset sensor;
the environmental data of the first time node in the working area is sent to a preset calculation module to obtain the cooling capacity in the working area of the first time node;
Comparing the cooling capacity in the first time node working area with the preset actual running cooling capacity to obtain a first coefficient adjustment model;
Adjusting the first coefficient to a modelSending the first cooling control scheme to a preset control assembly end to obtain a first cooling control scheme;
after the first cooling control scheme is implemented, the adjusted real-time cooling capacity in the working area is obtained；
Adjusting the first coefficient to the modelPresetting the cooling capacity of the actual operation and the real-time cooling capacity after adjustment>Performing contrast operation to obtain fitting coefficient +.>;
Obtaining a dynamic cooling variable value according to the preset actual running cooling quantity and the adjusted real-time cooling quantity;
fitting coefficientsThe dynamic cooling variable value is sent to a preset control assembly end to obtain a second cooling control scheme;
after implementation based on the second cooling control scheme, the adjusted real-time cooling capacity is obtained；
The adjusted real-time cooling quantityFirst coefficient adjustment model->And fitting coefficient->Performing model comparison, and performing fitting modeling based on historical data of the execution process of the first cooling control scheme and the second cooling control scheme to obtain a third execution variable +.>；
Will third execution variableAnd the energy-saving cooling control is sent to a preset central intelligent control end to perform energy-saving cooling control.
2. The data center central variable energy-efficient cooling control method according to claim 1, further comprising:
dividing the working area according to a preset rule to obtain a plurality of sub-working areas;
acquiring an area value in a sub-working area;
and determining the number and distribution rule of the sensors in the corresponding sub-areas according to the preset area range in which the area value in the sub-working area falls.
3. The data center central variable energy-efficient cooling control method according to claim 2, further comprising:
acquiring monitoring data of sensors in the sub-working areas;
comparing and analyzing the monitoring data of the sensors in the sub-working areas to obtain monitoring data difference values of the same type of sensors in the same sub-working area;
and judging whether the difference value of the monitoring data of the same type of sensor in the same sub-working area is smaller than a preset data difference threshold value, and if so, obtaining the environmental data in the sub-area according to the monitoring data of the sensor in the corresponding sub-working area.
4. The data center central variable energy-efficient cooling control method according to claim 1, further comprising:
acquiring a temperature value in a working area based on a preset temperature sensor;
judging whether the temperature value in the working area is larger than a preset temperature threshold value, and if so, triggering alarm information;
and sending the alarm information to a preset management end for prompting.
5. The data center central variable energy-efficient cooling control method according to claim 1, further comprising:
load information of a cooling unit is obtained;
judging whether the load of the cooling unit is larger than a preset load threshold value, if so, triggering alarm information;
and sending the alarm information to a preset management end for prompting.
6. In a data center according to claim 1The central variable energy-saving cooling control method is characterized in that the third execution variable is as followsAfter being sent to a preset central intelligent control end to perform energy-saving cooling control, the method further comprises the following steps:
based on a third execution variableAfter implementation, acquiring environmental data of a second time node in the working area;
comparing and analyzing the environmental data of the first time node and the environmental data of the second time node in the working area to obtain a dynamic difference value;
judging whether the dynamic difference value is larger than a preset difference threshold value, if so, triggering a new calculation cycle;
and obtaining the next energy-saving cooling control scheme of the preset central intelligent control terminal according to the new calculation cycle.
7. The energy-saving cooling control system for the central variable of the data center is characterized by comprising a memory and a processor, wherein the memory stores a program of the energy-saving cooling control method for the central variable of the data center, and the program of the energy-saving cooling control method for the central variable of the data center realizes the following steps when being executed by the processor:
acquiring environmental data of a first time node in a working area based on a preset sensor;
the environmental data of the first time node in the working area is sent to a preset calculation module to obtain the cooling capacity in the working area of the first time node;
Comparing the cooling capacity in the first time node working area with the preset actual running cooling capacity to obtain a first coefficient adjustment model;
Adjusting the first coefficient to a modelSending the first cooling control scheme to a preset control assembly end to obtain a first cooling control scheme;
after the first cooling control scheme is implemented, the adjusted real-time cooling capacity in the working area is obtained；
Adjusting the first coefficient to the modelPresetting the cooling capacity of the actual operation and the real-time cooling capacity after adjustment>Performing contrast operation to obtain fitting coefficient +.>;
Obtaining a dynamic cooling variable value according to the preset actual running cooling quantity and the adjusted real-time cooling quantity;
fitting coefficientsThe dynamic cooling variable value is sent to a preset control assembly end to obtain a second cooling control scheme;
after implementation based on the second cooling control scheme, the adjusted real-time cooling capacity is obtained；
The adjusted real-time cooling quantityFirst coefficient adjustment model->And fitting coefficient->Performing model comparison, and performing fitting modeling based on historical data of the execution process of the first cooling control scheme and the second cooling control scheme to obtain a third execution variable +.>；
Will third execution variableAnd the energy-saving cooling control is sent to a preset central intelligent control end to perform energy-saving cooling control.
8. A computer-readable storage medium, wherein a data center central variable energy-saving cooling control method program is stored in the computer-readable storage medium, which when executed by a processor, implements the steps of a data center central variable energy-saving cooling control method according to any one of claims 1 to 6.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB903012A (en) * | 1960-03-22 | 1962-08-09 | Babcock & Wilcox Ltd | An improved method of and apparatus for generating superheated vapour |
| EP2389743A1 (en) * | 2009-04-30 | 2011-11-30 | Synapsense Corporation | Apparatus and method for visualizing environmental conditions in a data center using wireless sensor networks |
| CN110008609A (en) * | 2019-04-12 | 2019-07-12 | 苏州浪潮智能科技有限公司 | A kind of method, device and equipment for evaluating and testing virtual container data center |
| CN111914404A (en) * | 2020-07-09 | 2020-11-10 | 东南大学 | Method for acquiring performance curve of air conditioning system cold machine based on measured data |
| CN114609978A (en) * | 2020-12-03 | 2022-06-10 | 福建佰时德能源科技有限公司 | Flat control method and control system for air cooling data center |
| WO2022237370A1 (en) * | 2021-05-08 | 2022-11-17 | 维谛技术有限公司 | Group control method and apparatus for temperature control devices, and device |
| CN115408957A (en) * | 2022-09-01 | 2022-11-29 | 中国科学院重庆绿色智能技术研究院 | Data center refrigeration equipment control method based on multi-agent reinforcement learning |
| CN115843170A (en) * | 2022-12-16 | 2023-03-24 | 广东志享信息科技有限公司 | Energy-saving control system for air conditioner in machine room |
-
2023
- 2023-06-21 CN CN202310742465.3A patent/CN116489977B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB903012A (en) * | 1960-03-22 | 1962-08-09 | Babcock & Wilcox Ltd | An improved method of and apparatus for generating superheated vapour |
| EP2389743A1 (en) * | 2009-04-30 | 2011-11-30 | Synapsense Corporation | Apparatus and method for visualizing environmental conditions in a data center using wireless sensor networks |
| CN110008609A (en) * | 2019-04-12 | 2019-07-12 | 苏州浪潮智能科技有限公司 | A kind of method, device and equipment for evaluating and testing virtual container data center |
| CN111914404A (en) * | 2020-07-09 | 2020-11-10 | 东南大学 | Method for acquiring performance curve of air conditioning system cold machine based on measured data |
| CN114609978A (en) * | 2020-12-03 | 2022-06-10 | 福建佰时德能源科技有限公司 | Flat control method and control system for air cooling data center |
| WO2022237370A1 (en) * | 2021-05-08 | 2022-11-17 | 维谛技术有限公司 | Group control method and apparatus for temperature control devices, and device |
| CN115408957A (en) * | 2022-09-01 | 2022-11-29 | 中国科学院重庆绿色智能技术研究院 | Data center refrigeration equipment control method based on multi-agent reinforcement learning |
| CN115843170A (en) * | 2022-12-16 | 2023-03-24 | 广东志享信息科技有限公司 | Energy-saving control system for air conditioner in machine room |
Non-Patent Citations (1)
| Title |
|---|
| "基于模型预测控制的数据中心节能调度算法";赵小刚;《软件学报》;第248-261页 * |
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