CN117236599B - Power supply service lifting method and system based on diversified calculation force fusion - Google Patents
Power supply service lifting method and system based on diversified calculation force fusion Download PDFInfo
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Abstract
The invention discloses a power supply service lifting method and a power supply service lifting system based on diversified computing power integration, and relates to the technical field of power supply, wherein the method comprises the following steps: carrying out calculation power deployment analysis on a power supply service area based on the power layout attribute information, carrying out dynamic simulation on the power layout attribute information and a deployed regional calculation power deployment endpoint network by utilizing a digital twin technology, generating a power supply area digital twin model, carrying out calculation power analysis on the power supply area digital twin model to obtain terminal calculation power demand parameter information, carrying out calculation power configuration according to the terminal calculation power demand parameter information, carrying out power supply data acquisition, edge calculation and fusion analysis based on the configured distributed calculation power resource nodes to obtain regional power supply service analysis information, and further carrying out regulation and control service management on the power supply service area. The method achieves the technical effects of realizing the power supply service power resource allocation by utilizing a digital twin technology, ensuring the power resource distribution rationality, improving the power fusion efficiency and further improving the power supply service quality.
Description
Technical Field
The invention relates to the technical field of power service, in particular to a power supply service lifting method and system based on diversified computing power fusion.
Background
The power supply is to provide power service to various fields including industrial construction field, transportation field, medical and health field, etc. through the power system, confirm to provide stable and reliable power service, guarantee production electricity demand. In order to better meet the power service requirement, accurately process a large amount of power data, the computing efficiency of the power industry is promoted by adopting diversified computing power fusion so as to promote the sustainable development of power supply service. However, the computing power distribution in the prior art is uneven, so that the computing efficiency is low, and the power supply service quality is affected.
Disclosure of Invention
The application solves the technical problems of influence on the quality of power supply service caused by uneven calculation force distribution and lower calculation efficiency in the prior art by providing the power supply service lifting method and the power supply service lifting system based on the diversified calculation force fusion, achieves the technical effects of realizing the calculation force resource allocation of the power supply service by utilizing a digital twin technology, ensuring the rationality of the calculation force resource distribution, improving the calculation force fusion efficiency and further improving the quality of the power supply service.
In view of the above problems, the present invention provides a power supply service lifting method and system based on a diversified computing power fusion.
In a first aspect, the present application provides a power supply service lifting method based on a diversified computing power fusion, the method comprising: acquiring power layout attribute information of a power supply service area, wherein the power layout attribute information comprises area space layout information and area power architecture information; performing calculation deployment analysis on the power supply service area based on the power layout attribute information to obtain an area calculation deployment endpoint network; dynamically simulating the power layout attribute information and the regional calculation power deployment endpoint network by using a digital twin technology to generate a power supply regional digital twin model; carrying out power supply service calculation force analysis based on the power supply region digital twin model to obtain terminal calculation force demand parameter information; performing computing power architecture configuration according to the endpoint computing power demand parameter information, and determining distributed computing power resource nodes; acquiring power supply data based on the distributed computing power resource nodes to acquire a computing power node power supply data set; and carrying out edge calculation and fusion analysis on the power calculation node power supply data set to obtain regional power supply service analysis information, and carrying out regulation and control service management on a power supply service region based on the regional power supply service analysis information.
In another aspect, the present application further provides a power supply service lifting system based on a diversified computing force fusion, where the system includes: the power distribution attribute acquisition module is used for acquiring power distribution attribute information of a power supply service area, wherein the power distribution attribute information comprises area space distribution information and area power architecture information; the power distribution analysis module is used for carrying out power distribution analysis on the power supply service area based on the power distribution attribute information to obtain an area power distribution endpoint network; the dynamic simulation module is used for dynamically simulating the power layout attribute information and the regional computing power deployment endpoint network by utilizing a digital twin technology to generate a power supply regional digital twin model; the power calculation analysis module is used for carrying out power supply service power calculation analysis based on the power supply region digital twin model to obtain terminal point power calculation demand parameter information; the computing power architecture configuration module is used for carrying out computing power architecture configuration according to the endpoint computing power demand parameter information to determine distributed computing power resource nodes; the power supply data acquisition module is used for acquiring power supply data based on the distributed computing power resource nodes and acquiring a computing power node power supply data set; and the regulation and control service management module is used for carrying out edge calculation and fusion analysis on the power supply data set of the power computing node to obtain regional power supply service analysis information, and carrying out regulation and control service management on a power supply service region based on the regional power supply service analysis information.
In a third aspect, the present application provides an electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, the computer program when executed by the processor implementing the steps of any of the methods described above.
In a fourth aspect, the application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the methods described above.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
Because the power supply service area is subjected to calculation power deployment analysis based on the power layout attribute information to obtain an area calculation power deployment endpoint network, the power layout attribute information and the area calculation power deployment endpoint network are subjected to dynamic simulation by utilizing a digital twin technology to generate a power supply area digital twin model, so that the power supply service calculation power analysis is performed to obtain endpoint calculation power demand parameter information, calculation power architecture configuration is performed according to the endpoint calculation power demand parameter information, and power supply data acquisition is performed based on the configured distributed calculation power resource nodes to obtain a calculation power node power supply data set; and carrying out edge calculation and fusion analysis on the power calculation node power supply data set to obtain regional power supply service analysis information, and carrying out regulation and control service management on a power supply service region based on the regional power supply service analysis information. And further, the technical effects of realizing the power supply service power resource allocation by utilizing a digital twin technology, ensuring the power resource distribution rationality, improving the power fusion efficiency and further improving the power supply service quality are achieved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a flow chart of a power supply service lifting method based on a multi-element computing power fusion;
FIG. 2 is a schematic flow chart of generating a digital twin model of a power supply area in a power supply service lifting method based on multi-element computing force fusion;
FIG. 3 is a schematic diagram of a power supply service lifting system based on a multi-component computing power fusion;
fig. 4 is a schematic structural view of an exemplary electronic device of the present application.
Reference numerals illustrate: the system comprises a power layout attribute acquisition module 11, a power deployment analysis module 12, a dynamic simulation module 13, a power analysis module 14, a power architecture configuration module 15, a power supply data acquisition module 16, a regulatory service management module 17, a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150, an operating system 1151, application programs 1152 and a user interface 1160.
Detailed Description
In the description of the present application, those skilled in the art will appreciate that the present application may be embodied as methods, apparatus, electronic devices, and computer-readable storage media. Accordingly, the present application may be embodied in the following forms: complete hardware, complete software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, the application may also be embodied in the form of a computer program product in one or more computer-readable storage media, which contain computer program code.
Any combination of one or more computer-readable storage media may be employed by the computer-readable storage media described above. The computer-readable storage medium includes: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer readable storage medium include the following: portable computer magnetic disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disk read-only memories, optical storage devices, magnetic storage devices, or any combination thereof. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device.
The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws.
The application provides a method, a device and electronic equipment through flow charts and/or block diagrams.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer readable program instructions may also be stored in a computer readable storage medium that can cause a computer or other programmable data processing apparatus to function in a particular manner. Thus, instructions stored in a computer-readable storage medium produce an instruction means which implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The present application will be described below with reference to the drawings in the present application.
Example 1
As shown in fig. 1, the present application provides a power supply service lifting method based on a diversified computing force fusion, which includes:
Step S1: acquiring power layout attribute information of a power supply service area, wherein the power layout attribute information comprises area space layout information and area power architecture information;
specifically, power supply means providing power service to various fields including industrial construction field, transportation field, medical and health field, etc. through power system, confirm to provide reliable and stable power service, guarantee production electricity demand. In order to better meet the power service requirement, accurately process a large amount of power data, the computing efficiency of the power industry is promoted by adopting diversified computing power fusion so as to promote the sustainable development of power supply service.
Firstly, acquiring power layout attribute information of a power supply service area through a power supply service system, wherein the power layout attribute information is distribution framework information of the power supply service area, and comprises regional space layout information, namely spatial distribution, layout area and the like of each power function area, and regional power framework information, namely power supply service composition framework, comprising service function frameworks such as power purchase, transformation, transmission, distribution, power consumption, relay protection and the like, and comprehensively acquiring power supply service area attribute parameters to provide data basis for subsequent calculation power configuration.
Step S2: performing calculation deployment analysis on the power supply service area based on the power layout attribute information to obtain an area calculation deployment endpoint network;
further, the step of obtaining the regional computing power deployment endpoint network further comprises:
Classifying the regional attribute of the power layout attribute information to obtain regional power supply function attribute information;
Carrying out region division marking on the power supply service region according to the region power supply function attribute information to obtain power supply service division region information;
performing architecture interaction analysis based on the power layout attribute information to obtain power architecture interaction attribute information;
And performing computing power endpoint deployment based on the power supply service division region information and the power architecture interaction attribute information, and determining the regional computing power deployment endpoint network.
Specifically, the power supply service area is subjected to power calculation deployment analysis based on the area space layout information in the power layout attribute information, namely power calculation architecture area deployment is performed. Firstly, classifying the region attribute of the power layout attribute information, namely, marking the function attribute of each power region to obtain the corresponding region power supply function attribute information, such as a power purchasing region, a transformation region, a power consumption region and the like. And carrying out region division marking on the power supply service region according to the region power supply function attribute information, dividing the region with the same power supply function attribute into the same power supply service function region, and obtaining corresponding power supply service division region information.
And carrying out architecture interaction analysis based on the regional power architecture information in the power layout attribute information, namely carrying out regional data interaction analysis on each power architecture to obtain regional interaction attribute information of each power architecture, wherein the data interaction region of the transformer power architecture comprises an electricity utilization region and a power generation region. And performing computing power endpoint deployment based on the power supply service division area information and the power architecture interaction attribute information, namely performing computing power endpoint deployment on each function division area, performing additional computing power endpoint deployment according to the power architecture interaction area of the function area, and further forming a determined area computing power deployment endpoint network. The distributed deployment of the computing power endpoints is realized, the power supply service area is covered comprehensively, and further the power supply service efficiency is improved.
Step S3: dynamically simulating the power layout attribute information and the regional calculation power deployment endpoint network by using a digital twin technology to generate a power supply regional digital twin model;
as shown in fig. 2, further, the step of generating the digital twin model of the power supply area further includes:
performing reference region selection based on the power layout attribute information to obtain reference power region information, and determining a reference power supply twin component according to the reference power region information;
Acquiring the space topology mapping relation between the reference power region information and other regions in the power supply service region;
The power supply twin assembly set of the rest region is obtained through simulation, the reference power supply twin assembly and the power supply twin assembly set are subjected to simulation combination based on the space topology mapping relation, and a basic region digital twin model is generated;
and mapping the regional computing power deployment endpoint network to the basic regional digital twin model to obtain the power supply regional digital twin model.
Specifically, the power layout attribute information and the regional power deployment endpoint network are dynamically simulated by utilizing a digital twin technology, wherein the digital twin is a virtual representation for modeling the state of a physical entity or a system, and the power deployment simulation analysis can be realized. And firstly, carrying out reference region selection based on the power layout attribute information, obtaining reference power region information through random selection, for example, taking a power utilization region as a reference region, and determining a reference power supply twin component as a reference region component of a digital twin model according to the reference power region information simulation modeling. And acquiring the spatial topology mapping relation between the reference power region information and the rest of the power supply service regions through the power layout attribute information, namely the spatial position relation between the reference region and the rest of the power supply regions.
And the power supply twin assembly set of the rest region, namely a region assembly model set, is obtained through simulation, the reference power supply twin assembly and the power supply twin assembly set are subjected to simulation combination based on the space topology mapping relation, namely the power supply twin assembly models are combined according to the space topology mapping relation, and a power supply service region integral model, namely a basic region digital twin model is generated. And finally, mapping the regional computing power deployment endpoint network to the basic regional digital twin model to obtain a power supply regional digital twin model after the simulation computing power deployment endpoint is fused. The digital twin technology is utilized to realize the power supply service calculation power deployment simulation, so that the calculation power deployment analysis efficiency is improved, and the distribution rationality of calculation power resources is further ensured.
Step S4: carrying out power supply service calculation force analysis based on the power supply region digital twin model to obtain terminal calculation force demand parameter information;
further, the step of obtaining the endpoint calculation force demand parameter information further includes:
Acquiring power supply service calculation power indexes, wherein the power supply service calculation power indexes comprise calculated quantity, calculation power precision and calculation speed;
carrying out demand analysis on each deployment endpoint in the power supply region digital twin model based on the power supply service computing power index to obtain region endpoint network computing power demand information;
performing criticality distribution on the power supply service calculation index, and determining calculation index criticality information;
And carrying out calculation power distribution calculation on the regional endpoint network calculation power demand information based on the calculation power index criticality information to obtain the endpoint calculation power demand parameter information.
Specifically, for reasonably distributing the power resources, power supply service power analysis is performed based on the power supply region digital twin model. Firstly, acquiring a power supply service calculation power index, wherein the power supply service calculation power index is used for measuring calculation power required by power supply service data processing, and comprises calculation amount, calculation power precision, calculation speed and the like. And carrying out demand analysis on each deployment endpoint in the power supply region digital twin model based on the power supply service power calculation index, and measuring the specific demand of the power calculation index required by each endpoint to obtain regional endpoint network power calculation demand information.
And then, carrying out criticality distribution on the power supply service calculation indexes, and carrying out calculation index weight distribution through subjective assignment or objective experience assignment so as to determine calculation index criticality information, namely index weight distribution information. And carrying out calculation power distribution calculation on the regional endpoint network calculation power demand information based on the calculation power index criticality information, namely carrying out weighted calculation on the endpoint calculation power demand according to the calculation power index weight value, and obtaining a corresponding calculation power demand result, namely endpoint calculation power demand parameter information. The digital twin technology is utilized to realize the power supply service calculation power resource analysis, the calculation power demand analysis accuracy is improved, and the calculation power resource distribution rationality is ensured.
Step S5: performing computing power architecture configuration according to the endpoint computing power demand parameter information, and determining distributed computing power resource nodes;
Step S6: acquiring power supply data based on the distributed computing power resource nodes to acquire a computing power node power supply data set;
Specifically, the computing power architecture configuration is performed according to the endpoint computing power demand parameter information, that is, the computing power hardware architecture configuration is performed according to the endpoint computing power demand, including CPU, GPU, FPGA and other various computing chip hardware resources, so as to determine the hardware configuration of each deployment endpoint, that is, the distributed computing power resource node. And acquiring power supply data of the power supply service area in real time based on the distributed power calculation resource nodes, and acquiring a power calculation node power supply data set recorded by each resource node.
Step S7: and carrying out edge calculation and fusion analysis on the power calculation node power supply data set to obtain regional power supply service analysis information, and carrying out regulation and control service management on a power supply service region based on the regional power supply service analysis information.
Further, the step of obtaining the regional power supply service analysis information further includes:
carrying out algorithm model configuration based on the distributed computing power resource nodes to obtain a distributed node algorithm model set;
respectively carrying out edge calculation on the power calculation node power supply data sets according to the distributed node algorithm model set to obtain a node power supply service analysis information set;
And carrying out fusion and integrated analysis on the node power supply service analysis information set to obtain the regional power supply service analysis information.
Further, the step of obtaining the distributed node algorithm model set further includes:
Carrying out algorithm model training according to the power supply service demand information, and constructing a power supply service algorithm model library;
Performing power supply service analysis on the distributed computing power resource nodes to obtain power supply demand characteristic information;
And carrying out model feature matching on the power supply demand feature information and the power supply service algorithm model library respectively to obtain the distributed node algorithm model set.
Specifically, edge calculation and fusion analysis are carried out on the power supply data set of the computing power nodes, and algorithm model configuration is carried out firstly based on the distributed computing power resource nodes. The algorithm model configuration process is to perform algorithm model training according to power supply service demand information, such as power generation fault identification, power quality analysis, power consumption calculation and the like, collect or perform historical data through big data technology to perform analysis training on each service demand model, obtain a corresponding service demand algorithm model set, and integrate the algorithm model sets to construct a power supply service algorithm model library. And respectively carrying out power supply service analysis on the distributed computing power resource nodes to obtain power supply service information required to be provided by each node, namely power supply demand characteristic information, such as power quality analysis demands, voltage step-down analysis demands and the like. And carrying out model feature matching on the power supply demand characteristic information and the power supply service algorithm model library respectively to obtain algorithm model information matched with the power supply demands of all nodes, namely a distributed node algorithm model set.
And respectively carrying out edge calculation on the power node power supply data sets according to the distributed node algorithm model sets, reducing the transmission delay of centralized processing, improving the data processing speed and obtaining the node power supply service analysis information set output by the node algorithm model. And fusing the node power supply service analysis information sets, namely fusing and integrating the power supply service information of each node, comprehensively analyzing the power supply power quality, service efficiency and the like of the power supply service area, and determining the area power supply service analysis information, namely the area power supply service quality information. And regulating and controlling service management is carried out on the power supply service area based on the regional power supply service analysis information, so that timely regulation and control of power supply service is realized. And the power supply edge calculation is realized through the algorithm model configuration, the data calculation pressure is reduced, the calculation power fusion efficiency is improved, and the power supply service efficiency and the service quality are further improved.
Furthermore, the step of managing the regulation and control service for the power supply service area based on the area power supply service analysis information further comprises the following steps:
Setting a power supply service reference, and taking the difference value between the regional power supply service analysis information and the power supply service reference as power supply service optimization information;
Acquiring a power supply service regulation strategy, and acquiring a power supply parameter regulation space according to the power supply service regulation strategy;
and carrying out parameter optimization in the power supply parameter regulation and control space based on the power supply service optimization information, outputting power supply optimization regulation and control parameters, and carrying out power supply service regulation and control on the power supply service area based on the power supply optimization regulation and control parameters.
Specifically, regulation and control service management is performed on a power supply service area based on the area power supply service analysis information, and a power supply service reference is set first, wherein the power supply service reference is a qualified service quality reference, and can be measured through power quality, service efficiency and the like. And taking the difference value between the regional power supply service analysis information and the power supply service reference as power supply service optimization information, namely the power supply service quality which needs to be optimized. And determining a power supply service regulation strategy, wherein the power supply service regulation strategy is a power supply service control parameter related to power supply service optimization information, and the power supply service control parameter comprises control parameters such as voltage, power generation capacity and the like.
And constructing a power supply parameter regulation and control space as a control parameter optimizing data set according to the power supply service regulation and control strategy. And carrying out parameter optimization in the power supply parameter regulation space based on the power supply service optimization information, and selecting output power supply optimization regulation parameters in the power supply parameter regulation space by adopting a genetic algorithm, a particle swarm algorithm and the like, namely, the optimal power supply regulation parameters meeting the power supply service optimization information. And carrying out power supply service regulation and control on the power supply service area based on the power supply optimization regulation and control parameters, so that the power supply service quality after parameter regulation and control meets the application standard, the timeliness and the accuracy of power supply parameter regulation and control are realized, and the power supply service quality is further improved.
In summary, the power supply service lifting method and system based on the diversified computing power fusion provided by the application have the following technical effects:
Because the power supply service area is subjected to calculation power deployment analysis based on the power layout attribute information to obtain an area calculation power deployment endpoint network, the power layout attribute information and the area calculation power deployment endpoint network are subjected to dynamic simulation by utilizing a digital twin technology to generate a power supply area digital twin model, so that the power supply service calculation power analysis is performed to obtain endpoint calculation power demand parameter information, calculation power architecture configuration is performed according to the endpoint calculation power demand parameter information, and power supply data acquisition is performed based on the configured distributed calculation power resource nodes to obtain a calculation power node power supply data set; and carrying out edge calculation and fusion analysis on the power calculation node power supply data set to obtain regional power supply service analysis information, and carrying out regulation and control service management on a power supply service region based on the regional power supply service analysis information. And further, the technical effects of realizing the power supply service power resource allocation by utilizing a digital twin technology, ensuring the power resource distribution rationality, improving the power fusion efficiency and further improving the power supply service quality are achieved.
Example two
Based on the same inventive concept as the power supply service lifting method based on the multi-component computing force fusion in the foregoing embodiment, the present invention further provides a power supply service lifting system based on the multi-component computing force fusion, as shown in fig. 3, where the system includes:
a power layout attribute obtaining module 11, configured to obtain power layout attribute information of a power supply service area, where the power layout attribute information includes area space layout information and area power architecture information;
a computing power deployment analysis module 12, configured to perform computing power deployment analysis on the power supply service area based on the power layout attribute information, so as to obtain an area computing power deployment endpoint network;
The dynamic simulation module 13 is configured to dynamically simulate the power layout attribute information and the regional computing power deployment endpoint network by using a digital twin technology, so as to generate a power supply regional digital twin model;
the computing power analysis module 14 is used for carrying out power supply service computing power analysis based on the power supply region digital twin model to obtain terminal computing power demand parameter information;
the computing power architecture configuration module 15 is configured to perform computing power architecture configuration according to the endpoint computing power demand parameter information, and determine a distributed computing power resource node;
the power supply data acquisition module 16 is used for acquiring power supply data based on the distributed computing power resource nodes and acquiring a computing power node power supply data set;
And the regulation and control service management module 17 is used for carrying out edge calculation and fusion analysis on the power supply data set of the power calculation node to obtain regional power supply service analysis information, and carrying out regulation and control service management on a power supply service region based on the regional power supply service analysis information.
Further, the system further comprises:
the regional attribute classification unit is used for classifying regional attributes of the power layout attribute information to obtain regional power supply function attribute information;
The regional division marking unit is used for carrying out regional division marking on the power supply service region according to the regional power supply function attribute information to obtain power supply service division region information;
the architecture interaction analysis unit is used for performing architecture interaction analysis based on the power layout attribute information to obtain power architecture interaction attribute information;
and the computing power endpoint deployment unit is used for performing computing power endpoint deployment based on the power supply service division area information and the power architecture interaction attribute information, and determining the area computing power deployment endpoint network.
Further, the system further comprises:
a reference twin component determining unit, configured to perform reference region selection based on the power layout attribute information, obtain reference power region information, and determine a reference power supply twin component according to the reference power region information;
The topology mapping relation acquisition unit is used for acquiring the reference power region information and the space topology mapping relation of other regions in the power supply service region;
The simulation combination unit is used for obtaining a power supply twin assembly set of the other areas in a simulation mode, and performing simulation combination on the reference power supply twin assembly and the power supply twin assembly set based on the space topology mapping relation to generate a digital twin model of the basic area;
The digital twin model obtaining unit is used for mapping the regional computing power deployment endpoint network to the basic regional digital twin model to obtain the power supply regional digital twin model.
Further, the system further comprises:
the power supply service power calculation index comprises a calculated amount, a power calculation precision and a calculation rate;
The end point demand analysis unit is used for carrying out demand analysis on each deployment end point in the power supply region digital twin model based on the power supply service calculation index to obtain regional end point network calculation power demand information;
The key degree distribution unit is used for distributing the key degree of the power supply service calculation index and determining the key degree information of the calculation index;
And the calculation force distribution calculation unit is used for carrying out calculation force distribution calculation on the regional endpoint network calculation force demand information based on the calculation force index criticality information to obtain the endpoint calculation force demand parameter information.
Further, the system further comprises:
the algorithm model configuration unit is used for carrying out algorithm model configuration based on the distributed computing power resource nodes to obtain a distributed node algorithm model set;
the edge calculation unit is used for respectively carrying out edge calculation on the power calculation node power supply data sets according to the distributed node algorithm model set to obtain a node power supply service analysis information set;
And the integrated analysis unit is used for carrying out fusion and integrated analysis on the node power supply service analysis information set to obtain the regional power supply service analysis information.
Further, the system further comprises:
The algorithm model training unit is used for carrying out algorithm model training according to the power supply service demand information and constructing a power supply service algorithm model library;
the power supply service analysis unit is used for carrying out power supply service analysis on the distributed computing power resource nodes to obtain power supply demand characteristic information;
and the model feature matching unit is used for carrying out model feature matching on the basis of the power supply demand feature information and the power supply service algorithm model library respectively to obtain the distributed node algorithm model set.
Further, the system further comprises:
The optimizing information obtaining unit is used for setting a power supply service reference, and taking the difference value between the regional power supply service analysis information and the power supply service reference as power supply service optimizing information;
The parameter regulation and control space obtaining unit is used for obtaining a power supply service regulation and control strategy and obtaining a power supply parameter regulation and control space according to the power supply service regulation and control strategy;
And the power supply service regulation and control unit is used for carrying out parameter optimization in the power supply parameter regulation and control space based on the power supply service optimization information, outputting power supply optimization regulation and control parameters and carrying out power supply service regulation and control on the power supply service area based on the power supply optimization regulation and control parameters.
The foregoing various modifications and specific examples of the power supply service lifting method based on the multivariate computing force fusion in the first embodiment of fig. 1 are applicable to the power supply service lifting system based on the multivariate computing force fusion in this embodiment, and by the foregoing detailed description of the power supply service lifting method based on the multivariate computing force fusion, those skilled in the art can clearly know the implementation method of the power supply service lifting system based on the multivariate computing force fusion in this embodiment, so that, for brevity of description, no detailed description will be given here.
In addition, the application also provides an electronic device, which comprises a bus, a transceiver, a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the transceiver, the memory and the processor are respectively connected through the bus, and when the computer program is executed by the processor, the processes of the method embodiment for controlling output data are realized, and the same technical effects can be achieved, so that repetition is avoided and redundant description is omitted.
Exemplary electronic device
In particular, referring to FIG. 4, the present application also provides an electronic device comprising a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150, and a user interface 1160.
In the present application, the electronic device further includes: computer programs stored on the memory 1150 and executable on the processor 1120, which when executed by the processor 1120, implement the various processes of the method embodiments described above for controlling output data.
A transceiver 1130 for receiving and transmitting data under the control of the processor 1120.
In the present application, bus architecture (represented by bus 1110), bus 1110 may include any number of interconnected buses and bridges, with bus 1110 connecting various circuits, including one or more processors, represented by processor 1120, and memory, represented by memory 1150.
Bus 1110 represents one or more of any of several types of bus structures, including a memory bus and memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such an architecture includes: industry standard architecture buses, micro-channel architecture buses, expansion buses, video electronics standards association, and peripheral component interconnect buses.
Processor 1120 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method embodiments may be implemented by instructions in the form of integrated logic circuits in hardware or software in a processor. The processor includes: general purpose processors, central processing units, network processors, digital signal processors, application specific integrated circuits, field programmable gate arrays, complex programmable logic devices, programmable logic arrays, micro control units or other programmable logic devices, discrete gates, transistor logic devices, discrete hardware components. The methods, steps and logic blocks disclosed in the present application may be implemented or performed. For example, the processor may be a single-core processor or a multi-core processor, and the processor may be integrated on a single chip or located on multiple different chips.
The processor 1120 may be a microprocessor or any conventional processor. The method steps disclosed in connection with the present application may be performed directly by a hardware decoding processor or by a combination of hardware and software modules in a decoding processor. The software modules may be located in random access memory, flash memory, read only memory, programmable read only memory, erasable programmable read only memory, registers, and the like, as known in the art. The readable storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
Bus 1110 may also connect together various other circuits such as peripheral devices, voltage regulators, or power management circuits, bus interface 1140 providing an interface between bus 1110 and transceiver 1130, all of which are well known in the art. Therefore, the present application will not be further described.
The transceiver 1130 may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. For example: the transceiver 1130 receives external data from other devices, and the transceiver 1130 is configured to transmit the data processed by the processor 1120 to the other devices. Depending on the nature of the computer device, a user interface 1160 may also be provided, for example: touch screen, physical keyboard, display, mouse, speaker, microphone, trackball, joystick, stylus.
It should be appreciated that in the present application, the memory 1150 may further include memory located remotely from the processor 1120, which may be connected to a server through a network. One or more portions of the above-described networks may be an ad hoc network, an intranet, an extranet, a virtual private network, a local area network, a wireless local area network, a wide area network, a wireless wide area network, a metropolitan area network, an internet, a public switched telephone network, a plain old telephone service network, a cellular telephone network, a wireless fidelity network, and combinations of two or more of the foregoing. For example, the cellular telephone network and wireless network may be global system for mobile communications devices, code division multiple access devices, worldwide interoperability for microwave access devices, general packet radio service devices, wideband code division multiple access devices, long term evolution devices, LTE frequency division duplex devices, LTE time division duplex devices, advanced long term evolution devices, general mobile communications devices, enhanced mobile broadband devices, mass machine class communications devices, ultra-reliable low-latency communications devices, and the like.
It should be appreciated that the memory 1150 in the present application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. Wherein the nonvolatile memory includes: read-only memory, programmable read-only memory, erasable programmable read-only memory, electrically erasable programmable read-only memory, or flash memory.
The volatile memory includes: random access memory, which serves as an external cache. By way of example, and not limitation, many forms of RAM are available, such as: static random access memory, dynamic random access memory, synchronous dynamic random access memory, double data rate synchronous dynamic random access memory, enhanced synchronous dynamic random access memory, synchronous link dynamic random access memory, and direct memory bus random access memory. The memory 1150 of the electronic device described herein includes, but is not limited to, the memory described above and any other suitable type of memory.
In the present application, memory 1150 stores the following elements of operating system 1151 and application programs 1152: an executable module, a data structure, or a subset thereof, or an extended set thereof.
Specifically, the operating system 1151 includes various device programs, such as: a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks. The applications 1152 include various applications such as: and the media player and the browser are used for realizing various application services. A program for implementing the method of the present application may be included in the application 1152. The application 1152 includes: applets, objects, components, logic, data structures, and other computer apparatus-executable instructions that perform particular tasks or implement particular abstract data types.
In addition, the application also provides a computer readable storage medium, on which a computer program is stored, where the computer program when executed by a processor implements each process of the above-mentioned method embodiment for controlling output data, and the same technical effects can be achieved, and for avoiding repetition, a detailed description is omitted herein.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (10)
1. The power supply service lifting method based on the multi-element calculation force fusion is characterized by comprising the following steps of:
acquiring power layout attribute information of a power supply service area, wherein the power layout attribute information comprises area space layout information and area power architecture information;
Performing calculation deployment analysis on the power supply service area based on the power layout attribute information to obtain an area calculation deployment endpoint network;
Dynamically simulating the power layout attribute information and the regional calculation power deployment endpoint network by using a digital twin technology to generate a power supply regional digital twin model;
carrying out power supply service calculation force analysis based on the power supply region digital twin model to obtain terminal calculation force demand parameter information;
performing computing power architecture configuration according to the endpoint computing power demand parameter information, and determining distributed computing power resource nodes;
Acquiring power supply data based on the distributed computing power resource nodes to acquire a computing power node power supply data set;
And carrying out edge calculation and fusion analysis on the power calculation node power supply data set to obtain regional power supply service analysis information, and carrying out regulation and control service management on a power supply service region based on the regional power supply service analysis information.
2. The method of claim 1, wherein the obtaining a regional power deployment endpoint network comprises:
Classifying the regional attribute of the power layout attribute information to obtain regional power supply function attribute information;
Carrying out region division marking on the power supply service region according to the region power supply function attribute information to obtain power supply service division region information;
performing architecture interaction analysis based on the power layout attribute information to obtain power architecture interaction attribute information;
And performing computing power endpoint deployment based on the power supply service division region information and the power architecture interaction attribute information, and determining the regional computing power deployment endpoint network.
3. The method of claim 1, wherein the generating a power domain digital twin model comprises:
performing reference region selection based on the power layout attribute information to obtain reference power region information, and determining a reference power supply twin component according to the reference power region information;
Acquiring the space topology mapping relation between the reference power region information and other regions in the power supply service region;
The power supply twin assembly set of the rest region is obtained through simulation, the reference power supply twin assembly and the power supply twin assembly set are subjected to simulation combination based on the space topology mapping relation, and a basic region digital twin model is generated;
and mapping the regional computing power deployment endpoint network to the basic regional digital twin model to obtain the power supply regional digital twin model.
4. The method of claim 1, wherein the obtaining endpoint computing force demand parameter information comprises:
Acquiring power supply service calculation power indexes, wherein the power supply service calculation power indexes comprise calculated quantity, calculation power precision and calculation speed;
carrying out demand analysis on each deployment endpoint in the power supply region digital twin model based on the power supply service computing power index to obtain region endpoint network computing power demand information;
performing criticality distribution on the power supply service calculation index, and determining calculation index criticality information;
And carrying out calculation power distribution calculation on the regional endpoint network calculation power demand information based on the calculation power index criticality information to obtain the endpoint calculation power demand parameter information.
5. The method of claim 1, wherein the obtaining regional power service analysis information comprises:
carrying out algorithm model configuration based on the distributed computing power resource nodes to obtain a distributed node algorithm model set;
respectively carrying out edge calculation on the power calculation node power supply data sets according to the distributed node algorithm model set to obtain a node power supply service analysis information set;
And carrying out fusion and integrated analysis on the node power supply service analysis information set to obtain the regional power supply service analysis information.
6. The method of claim 5, wherein the obtaining a set of distributed node algorithm models comprises:
Carrying out algorithm model training according to the power supply service demand information, and constructing a power supply service algorithm model library;
Performing power supply service analysis on the distributed computing power resource nodes to obtain power supply demand characteristic information;
And carrying out model feature matching on the power supply demand feature information and the power supply service algorithm model library respectively to obtain the distributed node algorithm model set.
7. The method of claim 1, wherein the regulating service management of a power service area based on the regional power service analysis information comprises:
Setting a power supply service reference, and taking the difference value between the regional power supply service analysis information and the power supply service reference as power supply service optimization information;
Acquiring a power supply service regulation strategy, and acquiring a power supply parameter regulation space according to the power supply service regulation strategy;
and carrying out parameter optimization in the power supply parameter regulation and control space based on the power supply service optimization information, outputting power supply optimization regulation and control parameters, and carrying out power supply service regulation and control on the power supply service area based on the power supply optimization regulation and control parameters.
8. Power supply service lifting system based on diversified computing power integration, characterized in that the system comprises:
the power distribution attribute acquisition module is used for acquiring power distribution attribute information of a power supply service area, wherein the power distribution attribute information comprises area space distribution information and area power architecture information;
the power distribution analysis module is used for carrying out power distribution analysis on the power supply service area based on the power distribution attribute information to obtain an area power distribution endpoint network;
The dynamic simulation module is used for dynamically simulating the power layout attribute information and the regional computing power deployment endpoint network by utilizing a digital twin technology to generate a power supply regional digital twin model;
the power calculation analysis module is used for carrying out power supply service power calculation analysis based on the power supply region digital twin model to obtain terminal point power calculation demand parameter information;
the computing power architecture configuration module is used for carrying out computing power architecture configuration according to the endpoint computing power demand parameter information to determine distributed computing power resource nodes;
the power supply data acquisition module is used for acquiring power supply data based on the distributed computing power resource nodes and acquiring a computing power node power supply data set;
And the regulation and control service management module is used for carrying out edge calculation and fusion analysis on the power supply data set of the power computing node to obtain regional power supply service analysis information, and carrying out regulation and control service management on a power supply service region based on the regional power supply service analysis information.
9. Power service boost electronic device based on a multi-component computing power fusion, comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, characterized in that the computer program when executed by the processor implements the steps of the method according to any one of claims 1-7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-7.
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