CN115439015A - Local area power grid data management method, device and equipment based on data middleboxes - Google Patents
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Abstract
The disclosure provides a local area network data management method, device and equipment based on a data middlebox, wherein the method comprises the following steps: the method comprises the steps of building a data center platform capable of being extended in a distributed mode, collecting initial power grid data of multiple data sources, wherein the initial power grid data are multi-source heterogeneous data, then performing data unification processing on the initial power grid data based on the data center platform to generate target power grid data, and performing data coordination management on a local power grid based on the target power grid data.
Description
Technical Field
The present disclosure relates to the field of electrical data processing technologies, and in particular, to a local area network data management method, apparatus, and device based on a data middlebox.
Background
The existing local area power grid is built at different periods, a plurality of different platforms and systems exist, the local area power grid is in a split state, each system is provided with an authorization module, a user management module, a message reminding module and the like, wheels are repeatedly manufactured, the communication cannot be achieved, information is maintained repeatedly, and the local area power grid is further and further away from the target of 'everything interconnection'. The main information of wind, light, fire, storage and the like in the local power grid exists in an isolated manner and is mutually independent, and the situations of information island, energy chimney and the like seriously influence the cooperative complementation among various energy sources.
At the present stage, an effective means is not provided, effective homologous unification is performed on each main data in the local area power grid, and a method generally adopted in the related technology is to acquire data required by functions absorbed by a system of the local area power grid through different interfaces.
In this way, data in the local area power grid are more discrete, the obtained data result cannot be advanced, and great resistance is added to the data process of the local area power grid.
Disclosure of Invention
The present disclosure is directed to solving, at least in part, one of the technical problems in the related art.
Therefore, the invention aims to provide a local area power grid data management method, device and equipment based on a data center, which can realize data sharing, effectively break a data island, realize data support and ensure online convergence, ordered flow and value mining of power grid data resources.
The embodiment of the first aspect of the present disclosure provides a local area power grid data management method based on a data middlebox, including: building a data center station capable of being extended in a distributed mode; acquiring initial power grid data of multiple data sources, wherein the initial power grid data are multi-source heterogeneous data; performing data unification processing on the initial power grid data based on a data center to generate target power grid data; and performing data coordination management on the local power grid based on the target power grid data.
The local power grid data management method based on the data center station, provided by the embodiment of the first aspect of the disclosure, includes the steps of building the data center station capable of being extended in a distributed mode, collecting initial power grid data of multiple data sources, wherein the initial power grid data are multi-source heterogeneous data, then performing data unification processing on the initial power grid data based on the data center station to generate target power grid data, and performing data coordination management on a local power grid based on the target power grid data.
The local area power grid data management device based on the data center station provided by the embodiment of the second aspect of the disclosure comprises: the building module is used for building a data middle station capable of being extended in a distributed mode; the acquisition module is used for acquiring initial power grid data of multiple data sources, wherein the initial power grid data are multi-source heterogeneous data; the processing module is used for carrying out data unification processing on the initial power grid data based on the data middling platform to generate target power grid data; and the management module is used for performing data coordination management on the local power grid based on the target power grid data.
The local power grid data management device based on the data center station provided by the embodiment of the second aspect of the disclosure collects initial power grid data of multiple data sources by building the data center station capable of being extended in a distributed manner, wherein the initial power grid data is multi-source heterogeneous data, then performs data unification processing on the initial power grid data based on the data center station to generate target power grid data, and performs data coordination management on a local power grid based on the target power grid data.
An embodiment of a third aspect of the present disclosure provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement a station-in-data based local area power grid data management method.
A fourth aspect of the present disclosure is directed to a computer-readable storage medium, where instructions of the computer-readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform a local area power grid data management method based on a data center.
In an embodiment of a fifth aspect of the present disclosure, a computer program product is provided, which includes a computer program, where the computer program is executed by a processor to perform a local area grid data management method based on a data center.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.
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The above and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flowchart of a local area network data management method based on a data center according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a data center station according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a structure of multiple data sources according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart of a local area network data management method based on a data center according to another embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a local area network data management apparatus based on a data center station according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a local power grid data management apparatus based on a data center station according to another embodiment of the present disclosure;
FIG. 7 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present disclosure, and are not to be construed as limiting the present disclosure. On the contrary, the embodiments of the disclosure include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Fig. 1 is a schematic flowchart of a local area network data management method based on a data middlebox according to an embodiment of the present disclosure.
As shown in fig. 1, the local area network data management method based on a data center station includes:
s101: and building a data center station capable of being extended in a distributed mode.
The data center platform is a data management center platform for supporting multi-source, heterogeneous, diverse and massive data, can be used for completely describing information composition of a business system, and a high-efficiency, safe and data homologous sharing platform is constructed, so that multi-system centralized management is carried out, views are unified, multi-source data graph digital-analog integrated design is carried out, a plurality of systems with data not communicated with each other are integrated on the same data center platform in a data homologous mode, and the unification of an informatization system is realized.
In the embodiment of the present disclosure, the data center may be constructed based on an intelligent City Information Modeling (e-CIM), or may also be constructed based on an internet of things technology, or may also be constructed using any of a variety of other possible implementation manners, which is not limited to this.
In some embodiments of the present disclosure, as shown in fig. 2, fig. 2 is a schematic structural diagram of a data center platform according to an embodiment of the present disclosure, and the data center platform may include a data service board, a data integration board, a data governance board, a data model management board, a data analysis board, a data asset directory management board, a six-code unification board, and a data storage board.
That is to say, a specific application scenario of the embodiment of the present disclosure may be, for example, building a data center platform capable of being extended in a distributed manner, and executing a subsequent processing step of power grid data by the data center platform, and the following description of the embodiment of the present disclosure will specifically explain the application scenario as an example, and of course, the local power grid data management method based on the data center platform described in the embodiment of the present disclosure may also be applied to any other possible local power grid data management scenarios based on the data center platform, which is not limited to this.
S102: the method comprises the steps of collecting initial power grid data of multiple data sources, wherein the initial power grid data are multi-source heterogeneous data.
The initial power grid data may include spatial data, topological data, operation data, device data, service data, and the like, and it is understood that different types of initial power grid data may be obtained from different data sources, for example, weather data is obtained from a meteorological system, geographical location data is obtained from a geographical information system, and the like, which is not limited thereto, and therefore, the initial power grid data may be multi-source heterogeneous data.
In the embodiment of the disclosure, data information of production, weather, management and the like can be acquired from various service systems of a real-time database, a weather system and enterprise operation management according to service requirements and used as initial power grid data, the acquisition of the initial service data can realize information joint analysis of multiple data sources, and intelligent interaction between the data sources does not affect the stable operation of original tasks (such as network access service, service processing flow and the like) of the system.
In the embodiment of the present disclosure, the initial power grid data may be acquired by using multiple acquisition modes such as time sequence data acquisition, structured data acquisition, unstructured data acquisition, and the like, which is not limited to this.
For example, fig. 3 is a schematic structural diagram of multiple data sources according to an embodiment of the disclosure, and as shown in fig. 3, the multiple data sources may include: the method comprises the following steps of scheduling management system access, intelligent instrument system access, safety instrument system access, energy storage system access, data decision system access, real-time database access, current reduction management system access, video system access, geographic information system access, meteorological system access, production management system access and the like.
In the embodiment of the present disclosure, a session link between a data center station and multiple data sources may be established based on a communication protocol, so as to transmit initial power grid data based on the session link, or a physical connection manner may be used to connect multiple data source devices and data storage devices of the data center station, so that the data center station can effectively receive the initial power grid data in the multiple data sources, which is not limited to this.
S103: and performing data unification processing on the initial power grid data based on the data middling stage to generate target power grid data.
The initial power grid data is subjected to numerical control to obtain data information which can be effectively identified by a central station in the data, and the data information can be called as target power grid data.
In the embodiment of the disclosure, the received initial power grid data can be subjected to data management through the data center station, so that the initial power grid data is more convenient to retrieve, use and manage.
In some embodiments of the present disclosure, the initial power grid data may be processed using a database with a multilayer structure, the initial power grid data is sorted by the data center, and the initial power grid data is divided into corresponding databases, or a keyword search may be set, so as to mark the initial power grid data in time, and effectively perform data unification processing on the initial power grid data to obtain target power grid data, which is not limited.
S104: and performing data coordination management on the local power grid based on the target power grid data.
In the embodiment of the disclosure, after the target power grid data is obtained, data coordination processing may be performed on the target power grid data, and the data coordination processing may include data analysis and data exploration, so as to determine a more comprehensive data service function based on the target power grid data.
The data coordination management in the embodiment of the disclosure can also quickly call the target power grid data, so that data exchange and data sharing of multiple data sources are facilitated, and the data center can quickly and stably perform related services of the local power grid.
In the embodiment, the data center platform capable of being distributed and expanded is built, initial power grid data of multiple data sources are collected, the initial power grid data are multisource heterogeneous data, then data unification processing is carried out on the initial power grid data based on the data center platform to generate target power grid data, and data coordination management is carried out on a local power grid based on the target power grid data.
Fig. 4 is a schematic flowchart of a local area network data management method based on a data center station according to another embodiment of the present disclosure.
As shown in fig. 4, the method for local area power grid data management based on a data center station includes:
s401: and building a data center station capable of being extended in a distributed mode.
For the description of S401, reference may be made to the foregoing embodiments, which are not described herein again.
S402: and acquiring local power grid information of multiple data sources.
The local area grid information is data information in the local area grid, and the local area grid information may specifically include.
In the embodiment of the disclosure, information related to the local area power grid can be acquired from a multi-data source and taken as the local area power grid information.
The local grid information in the embodiment of the present disclosure may specifically be, for example, power production related information obtained from a system in a production area, such as production information of wind power generation, photovoltaic power generation, thermal power generation, power storage, and the like, and the local grid information may also be, for example, multiple types of geographic information, meteorological information, power plant state information, and the like, which is not limited to this.
In the embodiment of the present disclosure, the local area network information may be obtained from each system of the power grid, or the local area network information may be directly sent to the relevant database of the data center station by each system of the power grid, which is not limited to this.
S403: and carrying out data standardization processing on the local power grid information to obtain initial power grid data.
The data standardization processing is a way of processing local power grid information based on a data security standard, an interface architecture meeting the requirement of a data security zone grade can be configured to realize data standardization processing on the local power grid information, and data obtained through standardization processing can be called as initial power grid data.
In the embodiment of the present disclosure, the data center can store data acquisition contents and a cross-regional security processing mechanism corresponding to each data source, and make clear the reasonable configuration of security facilities, so as to effectively perform data standardization processing on local area power grid information to obtain initial power grid data, which is not limited to this.
S404: based on the component service of the data center station, carrying out data governance on the initial power grid data to generate first service data, wherein the component service comprises: standard management, data asset management, business data modeling, and quality management.
The standard management is used for managing the security standard and the cross-region security processing mechanism which are stored in the data center and correspond to each data source.
The data management service is a data service for describing, explaining and positioning initial power grid data and enabling the initial power grid data to be first service data which is more convenient to retrieve, use or manage.
The data management service in the embodiment of the present disclosure may specifically be, for example, a metadata management service, where the metadata management is a bottom service function of data management, and a unified enterprise-level metadata model may be used to provide technical extension support for data management topics such as data standards, data quality, data models, and data life cycles, which is not limited to this.
The data asset management service can efficiently manage massive business data of an enterprise, and the data assets are checked and analyzed through multiple visual angles to know specific contents such as an enterprise data asset application mode and enterprise data asset basic information.
In an embodiment of the present disclosure, the data asset management service may include: data lifecycle management, master data management, resource catalogs, data maps, and the like.
The business data modeling service can provide a data modeling tool for a system corresponding to each data source, and a logic data model and a physical data model are established in the system according to a relation modeling and dimension modeling theory, so that various data services are established on the basis of entity incidence relations contained in the models, and data management is performed on initial power grid data to generate first business data.
The quality management service can intelligently generate data quality rules according to data standards, and expose the data quality problems of each system by formulating and implementing data quality inspection.
In the embodiment of the disclosure, the initial power grid data can be effectively subjected to data management based on the component service of the data middlebox, scattered and fragmented initial power grid data are processed, and massive initial power grid data are integrated into first service data which has hierarchy, service logic, consistent semantics, clear relationship and qualified quality.
S405: and performing data analysis processing on the first service data to generate target power grid data.
In the embodiment of the present disclosure, the first service data may be further analyzed to perform calculation and analysis on different types of first service data, so as to generate more data services, such as data visualization, data exchange, data storage, big data analysis, and the like. The data analysis and processing can provide functions of data exploration, general computing modeling environment and the like, and further improve the processing effect of the target power grid data.
Optionally, performing data exploration on the first service data based on a data console to generate second service data; and performing data analysis processing on the second service data to generate target power grid data.
The data obtained by data exploration on the first service data may be referred to as second service data, and it is understood that the second service data may be data information obtained by intelligently exploring and producing the first service data, for example, power load conditions, weather information, and the like in a future period of time may be predicted and used as the second service data, or data relationship mining may be performed on the first service data, and a data relationship between the mined first service data is recorded and used as the second service data, which is not limited.
The data exploration of the embodiment of the disclosure can be used for performing functions such as data cleaning, data integration, data specification and data transformation on the first service data, so as to perform data light processing on the first service data, realize effective sharing among data, and improve the management effect of the data.
In the embodiment of the present disclosure, a machine learning algorithm may be used to perform data exploration on the first service data to obtain the second service data, or a deep learning algorithm may be used to perform data exploration on the first service data to obtain the second service data, or an intelligent big data processing platform may be further set up to perform data exploration on the first service data based on the intelligent big data processing platform to obtain the second service data.
S406: and carrying out local power grid cooperative processing on the target power grid data.
In some embodiments, a data collaboration system may be provided for performing local area network collaboration processing on target power grid data, and the data collaboration system may include unified data asset directory management and data collaboration functions within the local area network, so as to implement management, interface, transmission and exchange of the target power grid data, and combine task management functions, thereby completing layout of a whole local area network collaboration scene.
In other embodiments, a data cooperation network may also be established to process target grid data and realize data cooperation, and of course, the present disclosure also supports the use of multiple data cooperation modes to realize the cooperative processing of the target grid data, which is not limited herein.
S407: and sorting the multi-type data processing models, and performing unified management and application on the multi-type data processing models by combining the target power grid data.
It can be understood that the data center of the embodiment of the present disclosure needs to be connected to multiple data sources, each data source may have one or more sets of power grid data processing models, and the multiple sets of data processing models may also use different data processing modes, respectively, to affect data sharing, so that the embodiment of the present disclosure may sort up multiple types of data processing models, and perform unified management and application on the multiple types of data processing models in combination with target power grid data.
The data processing model may be, for example, a business system model, such as an electric power generation model, an electric power load model, and an urban intelligent model, which is not limited herein.
In the embodiment of the present disclosure, the development and training of the data processing model may be completed at the power command center side, and the data center provides a subscription service of the data processing model, so that the plant side obtains the required data processing model in a publish/subscribe manner. Therefore, the data center is used for realizing the functions of subscribing the data processing model, packing and uploading the data processing model, publishing and managing the data processing model, monitoring the scheduling state and notifying the version updating of the data processing model, thereby realizing the management and scheduling of the data processing model more efficiently.
In the embodiment, as the data center is used for carrying out unified and standardized coordinated management on the power grid data, data sharing can be realized, a data island is effectively broken through, data support is realized, and online convergence, ordered flow and value mining of the power grid data resources are ensured. Because the data standardization processing is carried out on the local power grid information to obtain the initial power grid data, the safety of the initial power grid data can be effectively improved, and the data summarizing effect is improved. The first service data are subjected to data analysis processing to generate target power grid data, the first service data can be described, explained and positioned, and the generated target power grid data are more convenient to retrieve, use and manage, so that the target power grid data can be clear in relation, the service logic is clear, and the integration effect of the target power grid data is improved. Because the data is searched for the first service data based on the data middling station to generate the second service data, the second service data is analyzed and processed to generate the target power grid data, the data can be quickly, comprehensively and intelligently searched for a short time based on the existing first service data to determine the relationship between the new target power grid data and the new data, and the value of the data assets is effectively improved. The multi-type data processing model is uniformly managed and applied by combining the target power grid data, so that the management and the scheduling of the data processing model can be more efficiently realized.
Fig. 5 is a schematic structural diagram of a local area network data management apparatus based on a data center station according to an embodiment of the present disclosure.
As shown in fig. 5, the local area network data management apparatus 50 based on a data center station includes:
a building module 501, configured to build a data middle platform capable of being extended in a distributed manner;
the acquisition module 502 is used for acquiring initial power grid data of multiple data sources, wherein the initial power grid data are multi-source heterogeneous data;
the processing module 503 is configured to perform data unification processing on the initial power grid data based on a data middling stage to generate target power grid data;
and the management module 504 is configured to perform data coordination management on the local power grid based on the target power grid data.
In some embodiments of the present disclosure, as shown in fig. 6, fig. 6 is a schematic structural diagram of a local area network data management apparatus based on a data center station according to another embodiment of the present disclosure, and the collecting module 502 includes:
the obtaining submodule 5021 is used for obtaining local power grid information of multiple data sources;
the processing submodule 5022 is used for carrying out data standardization processing on the local power grid information to obtain initial power grid data.
In some embodiments of the present disclosure, as shown in fig. 6, the processing module 503 is specifically configured to:
based on the component service of the data center station, carrying out data governance on the initial power grid data to generate first service data, wherein the component service comprises: standard management, data asset management, business data modeling, and quality management;
and performing data analysis processing on the first service data to generate target power grid data.
In some embodiments of the present disclosure, as shown in fig. 6, the processing module 503 is specifically configured to:
performing data exploration on the first service data based on the data middlebox to generate second service data;
and performing data analysis processing on the second service data to generate target power grid data.
In some embodiments of the present disclosure, as shown in fig. 6, the management module 504 is specifically configured to:
performing local power grid cooperative processing on target power grid data;
and sorting the multi-type data processing models, and performing unified management and application on the multi-type data processing models by combining the target power grid data.
Corresponding to the local area network data management method based on the data center station provided in the embodiments of fig. 1 to 4, the present disclosure also provides a local area network data management device based on the data center station, and since the local area network data management device based on the data center station provided in the embodiments of the present disclosure corresponds to the local area network data management method based on the data center station provided in the embodiments of fig. 1 to 4, the embodiment of the local area network data management method based on the data center station is also applicable to the local area network data management device based on the data center station provided in the embodiments of the present disclosure, and will not be described in detail in the embodiments of the present disclosure.
In the embodiment, the data center platform capable of being distributed and expanded is built, initial power grid data of multiple data sources are collected, the initial power grid data are multisource heterogeneous data, then data unification processing is carried out on the initial power grid data based on the data center platform to generate target power grid data, and data coordination management is carried out on a local power grid based on the target power grid data.
In order to achieve the above embodiments, the present disclosure also proposes a non-transitory computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the local area grid data management method based on a data center station as proposed by the foregoing embodiments of the present disclosure.
In order to implement the above embodiments, the present disclosure also provides an electronic device, including: the local area power grid data management method based on the data middlebox is realized when the processor executes the program.
In order to implement the foregoing embodiments, the present disclosure further provides a computer program product, which when executed by an instruction processor in the computer program product, executes the local area grid data management method based on a data center station as set forth in the foregoing embodiments of the present disclosure.
FIG. 7 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure. The electronic device 12 shown in fig. 7 is only an example and should not bring any limitation to the function and the scope of use of the embodiments of the present disclosure.
As shown in fig. 7, electronic device 12 is in the form of a general purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16. Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. These architectures include, but are not limited to, industry Standard Architecture (ISA) bus, micro Channel Architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus, to name a few.
Electronic device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by electronic device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
Although not shown in FIG. 7, a magnetic disk drive for reading from and writing to a removable nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable nonvolatile optical disk (e.g., a Compact disk Read Only Memory (CD-ROM), a Digital versatile disk Read Only Memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the disclosure.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally perform the functions and/or methodologies of the embodiments described in this disclosure.
Electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with electronic device 12, and/or with any devices (e.g., network card, modem, etc.) that enable electronic device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public Network such as the Internet) via the Network adapter 20. As shown, the network adapter 20 communicates with the other modules of the electronic device 12 over the bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, to name a few.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, implementing the data center-based local area network data management method mentioned in the foregoing embodiments.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present disclosure, the meaning of "a plurality" is two or more unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present disclosure includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried out in the method of implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description of the present specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure, and that changes, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present disclosure.
Claims (10)
1. A local area power grid data management method based on a data center station is characterized by comprising the following steps:
building a data center station capable of being extended in a distributed mode;
acquiring initial power grid data of multiple data sources, wherein the initial power grid data are multi-source heterogeneous data;
performing data unification processing on the initial power grid data based on the data middling stage to generate target power grid data;
and performing data coordination management on the local power grid based on the target power grid data.
2. The method of claim 1, wherein the collecting initial grid data for multiple data sources comprises:
acquiring local power grid information of the multiple data sources;
and carrying out data standardization processing on the local power grid information to obtain the initial power grid data.
3. The method of claim 2, wherein the performing data unification processing on the initial grid data based on the data middlebox to generate target grid data comprises:
performing data governance on the initial power grid data based on the component service of the data center station to generate first service data, wherein the component service comprises: standard management, data asset management, business data modeling, and quality management;
and performing data analysis processing on the first service data to generate target power grid data.
4. The method of claim 3, wherein the performing data analysis processing on the first service data to generate target grid data comprises:
performing data exploration on the first service data based on the data center to generate second service data;
and performing data analysis processing on the second service data to generate target power grid data.
5. The method of claim 4, wherein the performing data coordination management on the local power grid based on the target grid data comprises:
performing local power grid cooperative processing on the target power grid data;
and sorting the multi-type data processing models, and performing unified management and application on the multi-type data processing models by combining the target power grid data.
6. A local area network data management device based on a data center is characterized by comprising:
the building module is used for building a data middle station capable of being extended in a distributed mode;
the system comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module is used for acquiring initial power grid data of multiple data sources, and the initial power grid data are multi-source heterogeneous data;
the processing module is used for carrying out data unification processing on the initial power grid data based on the data middling stage to generate target power grid data;
and the management module is used for performing data coordination management on the local area power grid based on the target power grid data.
7. The apparatus of claim 6, wherein the acquisition module comprises:
the acquisition submodule is used for acquiring local power grid information of the multiple data sources;
and the processing submodule is used for carrying out data standardization processing on the local power grid information to obtain the initial power grid data.
8. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of data center based local area network data management of any of claims 1-5.
9. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-5 for data center based local area grid data management.
10. A computer program product comprising a computer program which, when being executed by a processor, realizes the steps of the data-center-based local area network data management method according to any one of claims 1 to 5.
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