CN114238265A - Intelligent service system for power grid data - Google Patents
Intelligent service system for power grid data Download PDFInfo
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- CN114238265A CN114238265A CN202111343209.4A CN202111343209A CN114238265A CN 114238265 A CN114238265 A CN 114238265A CN 202111343209 A CN202111343209 A CN 202111343209A CN 114238265 A CN114238265 A CN 114238265A
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Abstract
The invention discloses an intelligent service system facing power grid data, which comprises a data integration server, a data fusion server and an application end, wherein the data integration server is in communication connection with the data fusion server, the data fusion server is in communication connection with the application end, and the data integration server is in communication connection with an unmanned aerial vehicle inspection data server, a storage management and control data server, an electrical equipment operation data server and a power grid dispatching data server respectively. According to the method and the system, the data stored by the data server in each subsystem is integrated through the data integration server, each item of data in the data integration server is fused by the data fusion server, the fused data are dynamically displayed at the application end, and multi-platform, multi-scene and multi-mode power grid data fusion, sharing and linkage are achieved.
Description
Technical Field
The invention relates to an intelligent service system facing power grid data.
Background
With the large-scale construction of an extra-high voltage alternating current-direct current hybrid power grid and the comprehensive promotion of the construction of a large-operation system, the service range of a power grid management system is rapidly expanded, the data sources are increased, the data types are various, the data scale and the storage pressure are rapidly increased, the requirements of regulation and control services on efficient storage and rapid processing of mass multi-source data are continuously improved, but due to the fact that the types of data to be regulated and controlled are various, the existing power grid management system cannot meet the requirements of all services on data storage and query.
Disclosure of Invention
The invention provides an intelligent service system for power grid data, aiming at the technical problems that the current regulated and controlled data are various and the existing power grid management system cannot meet the requirements of data storage and query of all services.
In order to solve the above problems, the technical solution of the present invention is realized as follows:
the application discloses an intelligent service system facing power grid data, which comprises a data integration server, a data fusion server and an application end, wherein the data integration server is in communication connection with the data fusion server, the data fusion server is in communication connection with the application end, the data integration server is in communication connection with an unmanned aerial vehicle inspection data server, a storage management and control data server, an electrical equipment operation data server and a power grid dispatching data server respectively, the data fusion server comprises a data sensing unit, an intelligent analysis unit and a management application unit, and the data sensing unit is used for acquiring basic data in the data integration server; the intelligent analysis unit is used for constructing a shared resource pool of the power data according to the basic data, extracting and mining the shared resource pool to generate a knowledge graph of the power data, and the management application unit pushes application services for the user according to analysis of the knowledge graph of the power data.
According to the application, data stored by the data server in each subsystem is integrated through the data integration server, each item of data in the data integration server is fused by the data fusion server, the fused data are dynamically displayed at an application end, multi-platform, multi-scene and multi-mode power grid data fusion, sharing and linkage are realized, and the innovation and application level of the intelligent service technology of the novel power system are improved.
Preferably, the data fusion server is configured with a operation and inspection database, a marketing database, a scheduling database and a power supply database, the operation and inspection database is used for storing various operation and inspection data of the power transmission line, the node electrical equipment and the platform area equipment, the marketing database is used for storing power consumption crowds, power consumption habits, power consumption duration and operation and receipt data, the scheduling database is used for storing power transmission line, power failure times, power failure duration and power failure reason data, and the power supply database is used for storing power supply frequency, power supply voltage and power supply node data.
Preferably, the intelligent analysis unit includes a cross-media intelligent calculation subunit, a multi-modal semantic perception subunit, a point cloud data processing subunit, a point cloud semantic analysis subunit, a cross-layer multi-modal fusion subunit, a data collaboration subunit, a gradient quantization encryption subunit, and a quantization network protection subunit, and the shared resource pool is constructed by the cross-media intelligent calculation subunit, the multi-modal semantic perception subunit, the point cloud data processing subunit, the point cloud semantic analysis subunit, the cross-layer multi-modal fusion subunit, the data collaboration subunit, the gradient quantization encryption subunit, and the quantization network protection subunit.
Preferably, the method for generating the knowledge graph includes the steps of firstly constructing a knowledge logic base and a rule base, extracting knowledge from the power data in the shared resource pool according to the knowledge logic base and the rule base, and performing knowledge fusion, knowledge processing and knowledge updating according to the power data extracted by each knowledge to generate the knowledge graph.
Compared with the prior art, the invention has the beneficial effects that:
according to the application, data stored by the data server in each subsystem is integrated through the data integration server, each item of data in the data integration server is fused by the data fusion server, the fused data are dynamically displayed at an application end, multi-platform, multi-scene and multi-mode power grid data fusion, sharing and linkage are realized, and the innovation and application level of the intelligent service technology of the novel power system are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic block diagram of the system of the present invention.
Fig. 2 is a schematic block diagram of a data fusion server according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
The application provides an intelligent service system towards electric wire netting data, including data integration server, data fusion server and application, the data integration server with the communication of data fusion server is connected, the data fusion server with the application communication is connected, the data integration server patrols and examines data server, storage management and control data server, electrical equipment operation data server and electric wire netting dispatch data server communication connection with unmanned aerial vehicle respectively.
According to the application, data stored by the data server in each subsystem is integrated through the data integration server, each item of data in the data integration server is fused by the data fusion server, the fused data are dynamically displayed at an application end, multi-platform, multi-scene and multi-mode power grid data fusion, sharing and linkage are realized, and the innovation and application level of the intelligent service technology of the novel power system are improved.
The technical scheme of the application is specifically explained in the following by combining the attached drawings 1-2:
as shown in fig. 1-2, the application discloses electric wire netting data oriented intelligent service system, including data integration server, data fusion server and application, data integration server with data fusion server communication is connected, data fusion server with the application communication is connected, data integration server patrols and examines data server, storage management and control data server, electrical equipment operation data server and electric wire netting dispatch data server communication connection with unmanned aerial vehicle respectively. That is to say, each data transmission value data integration server in the unmanned aerial vehicle routing inspection data server, the storage management and control data server, the electrical equipment operation data server and the power grid dispatching data server carries out cloud backup, the data fusion server acquires basic power data backed up in the data integration server to construct a multi-platform and multi-mode shared resource pool, a power spectrum is generated according to the basic power data in the shared resource pool, inference decision is carried out according to the power spectrum, personalized application service is provided for a user, and the user realizes dynamic display of the power grid data under the multi-platform, multi-scene and multi-mode at an application end. It should be noted that the application end includes a PC end, a mobile end and a WEB end, and a user can realize the sharing dynamic viewing of the power grid data through the PC end, the mobile end or the WEB end.
Specifically, the data fusion server is configured with a operation and inspection database, a marketing database, a scheduling database and a power supply database, the operation and inspection database is used for storing various operation and inspection data of power transmission lines, node electrical equipment and transformer area equipment, the marketing database is used for storing power consumption crowds, power consumption habits, power consumption duration and operation and receipt data, the scheduling database is used for storing power transmission lines, power failure times, power failure duration and power failure reason data, and the power supply database is used for storing power supply frequency, power supply voltage and power supply node data. Namely, the data fusion service realizes knowledge sharing and interaction channels for data in corresponding subsystems such as a operation and inspection database, a marketing database, a scheduling database, a power supply database and the like, realizes inter-class knowledge transfer on a map by means of a graph convolution neural network, integrates a zero-time learning method to strengthen self-evolution capacity of the system, provides personalized accurate recommendation service by adopting a collaborative filtering recommendation algorithm, and realizes collaborative interaction, consultation question and answer and learning iteration facing to specific scenes and personalized requirements of government and enterprise decision.
The data fusion server comprises a data sensing unit, an intelligent analysis unit and a management application unit, wherein the data sensing unit is used for acquiring basic data in the data integration server; the intelligent analysis unit is used for constructing a shared resource pool of the power data according to the basic data, extracting and mining the shared resource pool, and generating a knowledge graph of the power data; the management application unit is used for making inference decision on the knowledge graph of the power data and providing personalized application service for users. That is to say, the data fusion server acquires cloud data backed up in the data integration server through the data sensing unit, a shared resource pool is constructed according to the cloud data, then a knowledge graph is extracted and mined aiming at the shared resource pool to generate the knowledge graph, the management application unit carries out inference decision according to the generated knowledge graph, multi-platform, multi-scene and multi-mode power grid data holographic sensing fusion and panoramic display are carried out, and communication and evolution of multiple main bodies inside and outside a power grid ecological system are supported; service interfaces are provided for each application scene, and rapid development of electric big data service products is realized; the functions of data open sharing, data innovation service, data endogenous evolution and the like are supported, and the data core production elements and the innovation engine function are fully exerted.
Specifically, the intelligent analysis unit comprises a cross-media intelligent calculation subunit, a multi-mode semantic perception subunit, a point cloud data processing subunit, a point cloud semantic analysis subunit, a cross-layer multi-mode fusion subunit, a data cooperation subunit, a gradient quantization encryption subunit and a quantization network protection subunit, and the shared resource pool is constructed and composed of the cross-media intelligent calculation subunit, the multi-mode semantic perception subunit, the point cloud data processing subunit, the point cloud semantic analysis subunit, the cross-layer multi-mode fusion subunit, the data cooperation subunit, the gradient quantization encryption subunit and the quantization network protection subunit. That is to say, the cross-media intelligent computing subunit is used for performing intelligent computing preprocessing on the acquired power basic data, the preprocessed data are subjected to multi-mode preprocessing through the multi-mode semantic perception subunit, then unit data analysis processing is performed through the point cloud data processing unit and the point cloud semantic analysis subunit, multi-mode point cloud processed data are subjected to multi-mode data fusion processing through the cross-layer multi-mode fusion subunit, the fused data synchronously display collaborative data when the corresponding data are called through the data collaboration subunit, and encryption protection processing is performed on the collaborative data through the gradient quantization encryption subunit and the quantization network protection subunit.
Specifically, the knowledge graph generation method comprises the steps of firstly constructing a knowledge logic base and a rule base, carrying out knowledge extraction on power data in a shared resource pool according to the knowledge logic base and the rule base, and carrying out knowledge fusion, knowledge processing and knowledge updating according to the power data extracted by each knowledge to generate the knowledge graph. The method comprises the steps of establishing a knowledge logic base and a rule base, extracting corresponding data knowledge from basic data in a shared resource base according to the knowledge logic base and the rule base, fusing, processing and updating the corresponding knowledge after the corresponding data are extracted, generating a knowledge graph, and performing thrust decision on the generated knowledge graph based on rule reasoning, mixed reasoning, a graph convolution neural network, a zero-order learning method, distributed representation reasoning and collaborative filtering recommendation algorithms when performing inference decision on the generated knowledge graph, so that personalized application services are provided for a user.
The method realizes the integrated management and control mode of all elements, all processes and all service data for all application scenes of the whole power industrial chain, realizes data fusion and cross-system linkage from the bottom layer of the Internet of things, develops a man-machine cooperative intelligent management system, constructs an operation and maintenance lean management mechanism of 'original data-accurate mapping-equipment portrait-data analysis-optimal decision-interaction control', realizes the man-machine cooperative management mode of the Internet of things with the integration of infrastructure monitoring, remote equipment inspection, user intelligent analysis, emergency event early warning, cooperative scheduling and commanding of all elements and all processes, and realizes the modernization of intelligent management, the intellectualization of customer service and the scientization of management decision.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Claims (5)
1. The intelligent service system for the power grid data is characterized by comprising a data integration server, a data fusion server and an application end, wherein the data integration server is in communication connection with the data fusion server, the data fusion server is in communication connection with the application end, the data integration server is in communication connection with an unmanned aerial vehicle inspection data server, a storage management and control data server, an electrical equipment operation data server and a power grid dispatching data server respectively, the data fusion server comprises a data sensing unit, an intelligent analysis unit and a management application unit, and the data sensing unit is used for acquiring basic data in the data integration server; the intelligent analysis unit is used for constructing a shared resource pool of the power data according to the basic data, extracting and mining the shared resource pool to generate a knowledge graph of the power data, and the management application unit pushes application services for the user according to analysis of the knowledge graph of the power data.
2. The grid data-oriented intelligent service system according to claim 1, wherein the data fusion server is configured with a maintenance database, a marketing database, a scheduling database and a power supply database, the maintenance database is used for storing various maintenance data of the power transmission line, the node electrical equipment and the platform area equipment, the marketing database is used for storing power consumption people, power consumption habits, power consumption duration and operation and collection data, the scheduling database is used for storing the power transmission line, power failure times, power failure duration and power failure reason data, and the power supply database is used for storing power supply frequency, power supply voltage and power supply node data.
3. The intelligent service system oriented to power grid data of claim 1, wherein the application end comprises a PC end, a mobile end and a WEB end.
4. The grid data-oriented intelligent service system according to claim 1, wherein the intelligent analysis unit comprises a cross-media intelligent calculation subunit, a multi-modal semantic perception subunit, a point cloud data processing subunit, a point cloud semantic analysis subunit, a cross-layer multi-mode fusion subunit, a data collaboration subunit, a gradient quantization encryption subunit, and a quantization network protection subunit, and the shared resource pool is constructed by the cross-media intelligent calculation subunit, the multi-modal semantic perception subunit, the point cloud data processing subunit, the point cloud semantic analysis subunit, the cross-layer multi-mode fusion subunit, the data collaboration subunit, the gradient quantization encryption subunit, and the quantization network protection subunit.
5. The power grid data-oriented intelligent service system of claim 1, wherein the knowledge graph generation method comprises the steps of firstly constructing a knowledge logic base and a rule base, extracting knowledge from the power data in the shared resource pool according to the knowledge logic base and the rule base, and performing knowledge fusion, knowledge processing and knowledge updating on the power data extracted according to each knowledge to generate the knowledge graph.
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| CN202111343209.4A CN114238265A (en) | 2021-11-13 | 2021-11-13 | Intelligent service system for power grid data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117743375A (en) * | 2024-02-06 | 2024-03-22 | 国网江苏省电力有限公司信息通信分公司 | Multi-scene retrieval generation device and method for power private network communication index |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117743375A (en) * | 2024-02-06 | 2024-03-22 | 国网江苏省电力有限公司信息通信分公司 | Multi-scene retrieval generation device and method for power private network communication index |
| CN117743375B (en) * | 2024-02-06 | 2024-05-07 | 国网江苏省电力有限公司信息通信分公司 | Multi-scene retrieval generation device and method for power private network communication index |
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