CN115630830A - Power supply and distribution method, device, equipment and storage medium for data center - Google Patents
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Abstract
The application discloses a power supply and distribution method, a device, equipment and a storage medium for a data center, wherein the power supply and distribution method for the data center comprises the following steps: determining a preset power supply distribution scheme of each area of the data center; acquiring business information pre-implemented by a data center; inputting the service information into a preset power supply distribution model, and analyzing and processing power supply distribution on the service information based on the power supply distribution model to obtain power supply distribution information of each area; and determining a target power supply scheme of each area based on the power supply distribution information and the preset power supply distribution scheme. The application belongs to the technical field of data centers, and the energy-saving power supply scheme of each area of the data center is determined according to different implementation schemes, so that the power supply of equipment in each area is intelligently adjusted, and the power supply energy-saving effect of the data center is improved.
Description
Technical Field
The present application relates to the field of data center technologies, and in particular, to a method, an apparatus, a device, and a storage medium for power supply and distribution in a data center.
Background
Nowadays, with the promotion of cloud computing and big data application, data center construction is facing a new construction climax. Therefore, the data center industry is also an industry with high energy consumption, and the construction, the transformation, the operation and the maintenance and the energy-saving management of a green data center need to be promoted.
By researching the principle, flow, content and standard of the scheme design of the current data center power supply system and combining the multi-port converter technology, the power supply system of the data center is found to be one of the most core systems of the data center, on one hand, the power supply system takes the responsibility of safe power supply of the data center, all power supply equipment, particularly IT equipment, needs to be continuously and stably supplied for 24 hours all the year round, and the power supply reliability and the high quality of the power supply efficiency are guaranteed; on the other hand, the power supply system operates in real time, and not only has fixed loss but also needs operating loss, so that the power supply consumption of the data center is large, and therefore, the power supply of the data center is an important improvement direction for energy conservation.
Disclosure of Invention
The application mainly aims to provide a power supply and distribution method, device, equipment and storage medium for a data center, and aims to solve the technical problem that power supply consumption of the data center is large in the prior art.
In order to achieve the above object, the present application provides a power supply and distribution method for a data center, including:
determining a preset power supply distribution scheme of each area of the data center;
acquiring business information pre-implemented by a data center;
inputting the service information into a preset power supply distribution model, and analyzing and processing power supply distribution on the service information based on the power supply distribution model to obtain power supply distribution information of each area;
and determining a target power supply scheme of each area based on the power supply distribution information and the preset power supply distribution scheme.
Optionally, before the step of acquiring the business information pre-implemented by the data center, the method includes:
acquiring historical service information and a power supply distribution label of the historical service information;
and performing iterative training on the model to be trained based on the historical service information and the power supply distribution label of the historical service information to obtain the power supply distribution model meeting the precision condition.
Optionally, the step of performing iterative training on the model to be trained based on the historical service information and the power supply distribution label of the historical service information to obtain a power supply distribution model satisfying a precision condition includes:
inputting the historical service information into a preset model to be trained to obtain a predicted power supply distribution result;
performing difference calculation on the predicted power supply distribution result and the power supply distribution label of the historical service information to obtain an error result;
judging whether the error result meets an error standard indicated by a preset error threshold range or not based on the error result;
and if the error result does not meet the error standard indicated by the preset error threshold range, returning to the step of inputting the historical service information into a preset model to be trained to obtain a predicted power supply distribution result, and stopping training until the training error result meets the error standard indicated by the preset error threshold range to obtain the power supply distribution model meeting the precision condition.
Optionally, the step of determining a preset power distribution scheme for each area of the data center includes:
acquiring power supply information of each device of a data center;
establishing a topological relation among the devices based on the power supply information, wherein the topological relation is used for indicating the power supply information of the devices;
and determining a preset power supply distribution scheme of each area of the data center based on the topological relation.
Optionally, the step of obtaining power supply information of each device in the data center includes:
acquiring voltage grade information, load demand information and load range information of each device in a data center;
and forming power supply information of each device of the data center based on the voltage grade information, the load demand information and the load range information.
Optionally, the step of determining a preset power distribution scheme for each area of the data center based on the topological relation includes:
acquiring regional information of each device in a data center;
and performing corresponding power supply distribution on each area of the data center based on the topological relation and the area information to obtain a preset power supply distribution scheme of each area of the data center.
Optionally, after the step of determining the target power supply scheme for each zone based on the power supply distribution information and the preset power supply distribution scheme, the method includes:
and powering equipment in each area of the data center according to the target power supply scheme based on a preset multi-port converter.
The present application further provides a data center power supply and distribution device, the data center power supply and distribution device includes:
the scheme determining module is used for determining a preset power supply distribution scheme of each area of the data center;
the acquisition module is used for acquiring business information pre-implemented by the data center;
the analysis module is used for inputting the service information into a preset power supply distribution model, and carrying out analysis processing of power supply distribution on the service information based on the power supply distribution model to obtain power supply distribution information of each area;
and the target scheme determining module is used for determining a target power supply scheme of each area based on the power supply distribution information and the preset power supply distribution scheme.
The present application further provides a data center power supply and distribution device, the data center power supply and distribution device includes: a memory, a processor, and a program stored on the memory for implementing the data center power supply and distribution method,
the memory is used for storing programs for realizing the power supply and distribution method of the data center;
the processor is used for executing the program for realizing the data center power supply and distribution method so as to realize the steps of the data center power supply and distribution method.
The application also provides a storage medium, wherein the storage medium stores a program for realizing the data center power supply and distribution method, and the program for realizing the data center power supply and distribution method is executed by a processor to realize the steps of the data center power supply and distribution method.
Compared with the large power supply consumption of the data center in the prior art, the power supply and distribution method, the device, the equipment and the storage medium of the data center provided by the application determine the preset power supply distribution scheme of each area of the data center; acquiring business information pre-implemented by a data center; inputting the service information into a preset power supply distribution model, and analyzing and processing power supply distribution on the service information based on the power supply distribution model to obtain power supply distribution information of each area; and determining a target power supply scheme of each area based on the power supply distribution information and the preset power supply distribution scheme. In other words, in the application, according to different embodiments, the energy-saving power supply scheme of each area of the data center is determined, so that the power supply of each area device is intelligently adjusted, and the power supply and energy-saving effects of the data center are improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic diagram of an apparatus architecture of a hardware operating environment according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a first embodiment of a power supply and distribution method for a data center according to the present application;
fig. 3 is a schematic block diagram of a data center power supply and distribution method and apparatus according to the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present application.
The terminal in the embodiment of the application may be a PC, or may be a mobile terminal device having a display function, such as a smart phone, a tablet computer, an e-book reader, an MP3 (Moving Picture Experts Group Audio Layer III, motion Picture Experts compression standard Audio Layer 3) player, an MP4 (Moving Picture Experts Group Audio Layer IV, motion Picture Experts compression standard Audio Layer 4) player, a portable computer, or the like.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the terminal may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that adjusts the brightness of the display according to the brightness of ambient light, and a proximity sensor that turns off the display and/or the backlight when the mobile terminal moves to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when the mobile terminal is stationary, and can be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer and tapping) and the like for recognizing the attitude of the mobile terminal; of course, the mobile terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating device, a network communication module, a user interface module, and a data center power supply and distribution program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be used to invoke a data center power supply and distribution program stored in the memory 1005.
Referring to fig. 2, an embodiment of the present application provides a data center power supply and distribution method, where the data center power supply and distribution method includes:
step S100, determining a preset power supply distribution scheme of each area of a data center;
step S200, acquiring business information pre-implemented by a data center;
step S300, inputting the service information into a preset power supply distribution model, and analyzing and processing power supply distribution on the service information based on the power supply distribution model to obtain power supply distribution information of each area;
step S400, determining a target power supply scheme of each area based on the power supply distribution information and the preset power supply distribution scheme.
In this embodiment, the specific application scenarios may be:
on one hand, the power supply system takes charge of safe power supply of the data center, all power supply equipment, particularly IT equipment, needs to be continuously and stably supplied for 24 hours all the year round, and the power supply reliability and the high quality of the power supply efficiency are guaranteed; on the other hand, the power supply system runs in real time, and not only has fixed loss but also needs running loss, so that the power supply consumption of the data center is large.
The method comprises the following specific steps:
before the step of determining the preset power distribution scheme of each area of the data center in the step S100, the method comprises the following steps a100-a200:
step A100, acquiring historical service information and a power supply distribution label of the historical service information;
the data center power supply and distribution method is applied to a data center power supply and distribution device.
In this embodiment, the historical service information is information of a corresponding service historically implemented by the data center, and includes hardware device information when the service is implemented, execution information when the hardware device information is executed, and a power supply distribution tag of the historical service information is power supply distribution information to a device when the corresponding service historically implemented by the data center, for example, historical service a, where the power supply distribution information to the device X when the historical service a is executed is direct current 36V, and the power supply distribution information to the device Y is alternating current 380V, that is, the power supply distribution tag of the historical service a is device X and direct current 36V; device Y, alternating current 380V.
Step A200, performing iterative training on a model to be trained based on the historical service information and the power supply distribution label of the historical service information to obtain a power supply distribution model meeting the precision condition.
In this embodiment, the apparatus performs iterative training on the model to be trained based on the historical service information and the power supply distribution labels of the historical service information to obtain a power supply distribution model satisfying a precision condition, specifically, the model to be trained is based on a model having a correspondence relationship between the historical service information and the power supply distribution labels, where the model to be trained does not have a high precision.
Specifically, the step a200 includes the following steps a210-a240:
step A210, inputting the historical service information into a preset model to be trained to obtain a predicted power supply distribution result;
in this embodiment, the device inputs the historical service information into a preset model to be trained to obtain a predicted power distribution result, wherein the model to be trained has a model for predicting the expression of the face training sample, and the predicted power distribution result is a power distribution result of the model to be trained for predicting the historical service information.
Step A220, performing difference calculation on the predicted power supply distribution result and the power supply distribution label of the historical service information to obtain an error result;
in this embodiment, the apparatus performs difference calculation on the predicted power distribution result and the power distribution label of the historical service information to obtain an error result, or obtains an error result through loss function convergence.
Step A230, based on the error result, judging whether the error result meets an error standard indicated by a preset error threshold range;
in this embodiment, the apparatus determines, based on the error result, whether the error result satisfies an error criterion indicated by a preset error threshold range, where the preset error threshold includes a preset mean square error threshold, and a person skilled in the art knows that the smaller the mean square error threshold is, the more accurate the representation model is, and the determining whether the training error result satisfies the error criterion indicated by the preset error threshold includes: and judging whether the mean square error result is smaller than a preset mean square error threshold value or not.
Step A240, if the error result does not meet the error standard indicated by the preset error threshold range, returning to the step of inputting the historical service information into a preset model to be trained to obtain a predicted power supply distribution result, and stopping training until the training error result meets the error standard indicated by the preset error threshold range to obtain a power supply distribution model meeting the precision condition.
In this embodiment, if the error result does not satisfy the error standard indicated by the preset error threshold range, the apparatus returns to input the historical service information to a preset model to be trained, and obtains a predicted power supply distribution result, and stops training until the training error result satisfies the error standard indicated by the preset error threshold range, so as to obtain a power supply distribution model satisfying the precision condition, that is, in this embodiment, the model to be trained is converged through iterative training until the training error result satisfies the error standard indicated by the preset error threshold range, and the iterative training is completed.
Step S100, determining a preset power supply distribution scheme of each area of a data center;
in this embodiment, the preset power distribution scheme for each area refers to a scheme for supplying power to devices in each area when no service is applied, for example, the device X power supply includes 36V or 24V dc power, the device Y power supply includes 380V or 220V ac power, and the preset power distribution scheme includes a first scheme: a device X with 36V direct current and a device Y with 380V alternating current; scheme II: equipment X with 24V direct current and equipment Y with 380V alternating current; the third scheme is as follows: a device X with 36V direct current and a device Y with 220V alternating current; and the scheme is as follows: a device X with 24V direct current and a device Y with 220V alternating current.
Specifically, the step S100 includes the following steps S110 to S130:
step S110, acquiring power supply information of each device in the data center;
in this embodiment, the apparatus acquires the power supply information of each device in the data center, and the acquisition may be by acquiring the power supply information of each device in the database, or by a user uploading the power supply information of each device.
Specifically, the step S110 includes the following steps S111 to S112:
step S111, acquiring voltage grade information, load demand information and load range information of each device in the data center;
in this embodiment, the power supply information of each device includes voltage class information, load demand information, and load range information, and the voltage class is a rated voltage class series of the power system and the power device. The rated voltage is a normal voltage specified by the power system and the power equipment, that is, a nominal voltage related to some operation characteristics of the power system and the power equipment. The actual operating voltage of each point of the power system is allowed to deviate from the rated voltage to a certain extent, and various power equipment and the power system can still normally operate within the allowable deviation range; the load demand refers to the electric power required by the electric load of the equipment to work normally; the load range refers to a power range of electric power required for normal operation of the device.
And step S112, forming power supply information of each device of the data center based on the voltage grade information, the load demand information and the load range information.
In this embodiment, the device composes power supply information of each device in the data center based on the voltage level information, the load demand information, and the load range information.
Step S120, establishing a topological relation among the devices based on the power supply information, wherein the topological relation is used for indicating the power supply information of the devices;
in this embodiment, the apparatus establishes a topological relation between the devices based on the power supply information, where the topological relation is used to indicate the power supply information of the devices.
And step S130, determining a preset power supply distribution scheme of each area of the data center based on the topological relation.
In this embodiment, the device determines a preset power distribution scheme for each area of the data center based on the topological relation.
Specifically, the step S130 includes the following steps S131 to S132:
step S131, acquiring area information of each device of the data center;
in this embodiment, the apparatus acquires area information of each device in the data center, that is, information of an area in which each device is located.
Step S132, based on the topological relation and the area information, performing corresponding power supply distribution on each area of the data center to obtain a preset power supply distribution scheme of each area of the data center.
In this embodiment, the apparatus performs corresponding power distribution on each area of the data center based on the topological relation and the area information to obtain a preset power distribution scheme for each area of the data center, that is, divides each device according to area in a topological relation diagram of the device, and performs corresponding power distribution to obtain a preset power distribution scheme for each area of the data center.
Step S200, acquiring business information pre-implemented by a data center;
in the embodiment, the device acquires the business information pre-implemented by the data center, and the information of the business to be implemented by the pre-implemented business information comprises information of used equipment, information of power consumption of the equipment and the like.
Step S300, inputting the service information into a preset power supply distribution model, and analyzing and processing power supply distribution on the service information based on the power supply distribution model to obtain power supply distribution information of each area;
in this embodiment, the device inputs the service information into a preset power distribution model, and performs analysis processing on power distribution on the service information based on the power distribution model to obtain power distribution information of each area.
Step S400, determining a target power supply scheme of each area based on the power supply distribution information and the preset power supply distribution scheme.
In this embodiment, the apparatus determines a target power supply scheme for each area based on the power supply allocation information and the preset power supply allocation scheme, specifically, the apparatus selects a scheme that meets the power supply allocation information and can supply power optimally in the preset power supply allocation scheme as the target power supply scheme for each area, so as to intelligently adjust power supply of each area device, and improve the power supply energy saving effect of the data center.
After the step of determining the target power supply scheme for each zone based on the power supply distribution information and the preset power supply distribution scheme at the step S400, the method includes the following step B100:
and B100, supplying power corresponding to the target power supply scheme to the equipment in each area of the data center based on a preset multi-port converter.
In this embodiment, the apparatus performs power supply corresponding to the target power supply scheme on the devices in each area of the data center based on a preset multi-port converter, specifically, services of the data center need different IT devices according to different service requirements, some devices adopt an ac power supply mode, and some devices adopt a dc power supply mode, which requires deep analysis of voltage levels and load characteristics of key devices of the data center, and provides a design principle for accessing the multi-port converter to the data center by combining characteristics of power electronic devices such as power electronic transformers and the like in the current industry and considerations of an access system. On the basis of a design principle, a flexible power supply wiring scheme for a data center is provided according to the requirements and characteristics of loads at the site selection, the grid connection characteristics of a distributed power supply and energy storage, intelligent management and the like, and typical operation conditions are analyzed.
Compared with the large power supply consumption of the data center in the prior art, the power supply and distribution method of the data center provided by the application determines the preset power supply distribution scheme of each area of the data center; acquiring business information pre-implemented by a data center; inputting the service information into a preset power supply distribution model, and analyzing and processing power supply distribution on the service information based on the power supply distribution model to obtain power supply distribution information of each area; and determining a target power supply scheme of each area based on the power supply distribution information and the preset power supply distribution scheme. In other words, in the application, according to different embodiments, the energy-saving power supply scheme of each area of the data center is determined, so that the power supply of each area device is intelligently adjusted, and the power supply and energy-saving effects of the data center are improved.
The present application further provides a power supply and distribution device of a data center, referring to fig. 3, the power supply and distribution device of the data center includes:
the scheme determining module 10 is configured to determine a preset power distribution scheme for each area of the data center;
an obtaining module 20, configured to obtain service information pre-implemented by a data center;
the analysis module 30 is configured to input the service information into a preset power distribution model, and perform analysis processing of power distribution on the service information based on the power distribution model to obtain power distribution information of each area;
and a target scheme determining module 40, configured to determine a target power supply scheme for each area based on the power supply distribution information and the preset power supply distribution scheme.
Optionally, the data center power supply and distribution device further includes:
the information acquisition module is used for acquiring historical service information and a power supply distribution label of the historical service information;
and the training module is used for performing iterative training on the model to be trained on the basis of the historical service information and the power supply distribution label of the historical service information to obtain the power supply distribution model meeting the precision condition.
Optionally, the training module comprises:
the prediction module is used for inputting the historical service information into a preset model to be trained to obtain a predicted power supply distribution result;
the difference calculation module is used for performing difference calculation on the predicted power supply distribution result and the power supply distribution labels of the historical service information to obtain an error result;
the judging module is used for judging whether the error result meets an error standard indicated by a preset error threshold range or not based on the error result;
and the iterative training module is used for returning to the step of inputting the historical service information into a preset model to be trained to obtain a predicted power supply distribution result if the error result does not meet the error standard indicated by the preset error threshold range, and stopping training until the training error result meets the error standard indicated by the preset error threshold range to obtain the power supply distribution model meeting the precision condition.
Optionally, the scheme determining module 10 includes:
the power supply information acquisition module is used for acquiring power supply information of each device in the data center;
the topological relation establishing module is used for establishing a topological relation among the devices based on the power supply information, wherein the topological relation is used for indicating the power supply information of the devices;
and the preset power supply distribution scheme determining module is used for determining the preset power supply distribution scheme of each area of the data center based on the topological relation.
Optionally, the power supply information obtaining module includes:
the equipment information acquisition module is used for acquiring voltage grade information, load demand information and load range information of each equipment in the data center;
and the power supply information composition module is used for composing the power supply information of each device of the data center based on the voltage grade information, the load demand information and the load range information.
Optionally, the preset power distribution scheme determining module includes:
the regional information acquisition module is used for acquiring regional information of each device in the data center;
and the power supply distribution module is used for carrying out corresponding power supply distribution on each area of the data center based on the topological relation and the area information to obtain a preset power supply distribution scheme of each area of the data center.
Optionally, the data center power supply and distribution device further includes:
and the power supply module is used for supplying power corresponding to the target power supply scheme to the equipment in each area of the data center based on a preset multi-port converter.
The specific implementation of the power supply and distribution apparatus of the data center is substantially the same as that of each embodiment of the power supply and distribution method of the data center, and is not described herein again.
Referring to fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present application.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001 described previously.
Optionally, the data center power supply and distribution equipment may further include a rectangular user interface, a network interface, a camera, RF (Radio Frequency) circuits, a sensor, an audio circuit, a WiFi module, and the like. The rectangular user interface may comprise a Display screen (Display), an input sub-module such as a Keyboard (Keyboard), and the optional rectangular user interface may also comprise a standard wired interface, a wireless interface. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface).
Those skilled in the art will appreciate that the data center power distribution equipment configuration shown in fig. 1 does not constitute a limitation of data center power distribution equipment, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include an operating system, a network communication module, and a data center power supply and distribution program therein. The operating system is a program that manages and controls the hardware and software resources of the data center power supply and distribution equipment, and supports the operation of the data center power supply and distribution program and other software and/or programs. The network communication module is used for communication among the components in the memory 1005 and with other hardware and software in the power supply and distribution system of the data center.
In the data center power supply and distribution equipment shown in fig. 1, the processor 1001 is configured to execute a data center power supply and distribution program stored in the memory 1005, so as to implement the steps of any one of the data center power supply and distribution methods described above.
The specific implementation of the power supply and distribution equipment of the data center is basically the same as that of each embodiment of the power supply and distribution method of the data center, and is not described herein again.
The present application also provides a storage medium having stored thereon a program for implementing a data center power supply and distribution method, the program being executed by a processor to implement the data center power supply and distribution method as follows:
determining a preset power supply distribution scheme of each area of the data center;
acquiring business information pre-implemented by a data center;
inputting the service information into a preset power supply distribution model, and analyzing and processing power supply distribution on the service information based on the power supply distribution model to obtain power supply distribution information of each area;
and determining a target power supply scheme of each area based on the power supply distribution information and the preset power supply distribution scheme.
Optionally, before the step of acquiring the business information pre-implemented by the data center, the method includes:
acquiring historical service information and a power supply distribution label of the historical service information;
and performing iterative training on the model to be trained based on the historical service information and the power supply distribution label of the historical service information to obtain the power supply distribution model meeting the precision condition.
Optionally, the step of performing iterative training on the model to be trained based on the historical service information and the power supply distribution label of the historical service information to obtain a power supply distribution model satisfying a precision condition includes:
inputting the historical service information into a preset model to be trained to obtain a predicted power supply distribution result;
performing difference calculation on the predicted power supply distribution result and the power supply distribution label of the historical service information to obtain an error result;
judging whether the error result meets an error standard indicated by a preset error threshold range or not based on the error result;
and if the error result does not meet the error standard indicated by the preset error threshold range, returning to the step of inputting the historical service information into a preset model to be trained to obtain a predicted power supply distribution result, and stopping training until the training error result meets the error standard indicated by the preset error threshold range to obtain the power supply distribution model meeting the precision condition.
Optionally, the step of determining a preset power distribution scheme for each area of the data center includes:
acquiring power supply information of each device of a data center;
establishing a topological relation among the devices based on the power supply information, wherein the topological relation is used for indicating the power supply information of the devices;
and determining a preset power supply distribution scheme of each area of the data center based on the topological relation.
Optionally, the step of obtaining power supply information of each device in the data center includes:
acquiring voltage grade information, load demand information and load range information of each device in a data center;
and forming power supply information of each device of the data center based on the voltage grade information, the load demand information and the load range information.
Optionally, the step of determining a preset power distribution scheme for each area of the data center based on the topological relation includes:
acquiring regional information of each device in a data center;
and performing corresponding power supply distribution on each area of the data center based on the topological relation and the area information to obtain a preset power supply distribution scheme of each area of the data center.
Optionally, after the step of determining the target power supply scheme for each zone based on the power supply distribution information and the preset power supply distribution scheme, the method includes:
and performing power supply corresponding to the target power supply scheme on equipment in each area of the data center based on a preset multi-port converter.
The specific implementation of the storage medium of the present application is substantially the same as the embodiments of the power supply and distribution method of the data center, and is not described herein again.
The present application also provides a computer program product, comprising a computer program, which when executed by a processor, performs the steps of the above-described data center power supply and distribution method.
The specific implementation of the computer program product of the present application is substantially the same as that of each embodiment of the power supply and distribution method of the data center, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the advantages and disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.
Claims (10)
1. A data center power supply and distribution method is characterized by comprising the following steps:
determining a preset power supply distribution scheme of each area of the data center;
acquiring business information pre-implemented by a data center;
inputting the service information into a preset power supply distribution model, and analyzing and processing power supply distribution on the service information based on the power supply distribution model to obtain power supply distribution information of each area;
and determining a target power supply scheme of each area based on the power supply distribution information and the preset power supply distribution scheme.
2. The data center power supply and distribution method according to claim 1, wherein the step of obtaining business information pre-implemented by the data center is preceded by the method comprising:
acquiring historical service information and a power supply distribution label of the historical service information;
and performing iterative training on the model to be trained based on the historical service information and the power supply distribution label of the historical service information to obtain the power supply distribution model meeting the precision condition.
3. The method for power supply and distribution in the data center according to claim 2, wherein the step of iteratively training the model to be trained based on the historical service information and the power supply distribution labels of the historical service information to obtain the power supply distribution model satisfying the accuracy condition includes:
inputting the historical service information into a preset model to be trained to obtain a predicted power supply distribution result;
performing difference calculation on the predicted power supply distribution result and the power supply distribution label of the historical service information to obtain an error result;
judging whether the error result meets an error standard indicated by a preset error threshold range or not based on the error result;
and if the error result does not meet the error standard indicated by the preset error threshold range, returning to the step of inputting the historical service information into a preset model to be trained to obtain a predicted power supply distribution result, and stopping training until the training error result meets the error standard indicated by the preset error threshold range to obtain the power supply distribution model meeting the precision condition.
4. The method of claim 1, wherein the step of determining the preset power distribution scheme for each region of the data center comprises:
acquiring power supply information of each device of a data center;
establishing a topological relation among the devices based on the power supply information, wherein the topological relation is used for indicating the power supply information of the devices;
and determining a preset power supply distribution scheme of each area of the data center based on the topological relation.
5. The method for supplying and distributing power in the data center according to claim 4, wherein the step of obtaining the power supply information of each device in the data center comprises:
acquiring voltage grade information, load demand information and load range information of each device in a data center;
and forming power supply information of each device of the data center based on the voltage grade information, the load demand information and the load range information.
6. The method for power supply and distribution in a data center according to claim 4, wherein the step of determining the preset power distribution scheme for each area of the data center based on the topological relation comprises:
acquiring regional information of each device in a data center;
and performing corresponding power supply distribution on each area of the data center based on the topological relation and the area information to obtain a preset power supply distribution scheme of each area of the data center.
7. The data center power supply and distribution method according to claim 1, wherein after the step of determining the target power supply scheme for each zone based on the power supply distribution information and the preset power supply distribution scheme, the method comprises:
and performing power supply corresponding to the target power supply scheme on equipment in each area of the data center based on a preset multi-port converter.
8. A data center power supply and distribution device, characterized in that, the data center power supply and distribution device includes:
the scheme determining module is used for determining a preset power supply distribution scheme of each area of the data center;
the acquisition module is used for acquiring business information pre-implemented by the data center;
the analysis module is used for inputting the service information into a preset power supply distribution model, and carrying out analysis processing of power supply distribution on the service information based on the power supply distribution model to obtain power supply distribution information of each area;
and the target scheme determining module is used for determining a target power supply scheme of each area based on the power supply distribution information and the preset power supply distribution scheme.
9. A data center power supply and distribution apparatus, comprising: a memory, a processor, and a program stored on the memory for implementing the data center power supply and distribution method,
the memory is used for storing programs for realizing the power supply and distribution method of the data center;
the processor is used for executing the program for realizing the data center power supply and distribution method so as to realize the steps of the data center power supply and distribution method according to any one of claims 1 to 7.
10. A storage medium having stored thereon a program for implementing a data center power supply and distribution method, the program being executed by a processor to implement the steps of the data center power supply and distribution method according to any one of claims 1 to 7.
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