CN116467285A - Graph module data sharing method and system for whole network power supply - Google Patents
Graph module data sharing method and system for whole network power supply Download PDFInfo
- Publication number
- CN116467285A CN116467285A CN202310453635.6A CN202310453635A CN116467285A CN 116467285 A CN116467285 A CN 116467285A CN 202310453635 A CN202310453635 A CN 202310453635A CN 116467285 A CN116467285 A CN 116467285A
- Authority
- CN
- China
- Prior art keywords
- power grid
- data
- module
- sharing
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 27
- 230000003993 interaction Effects 0.000 claims abstract description 59
- 230000004927 fusion Effects 0.000 claims abstract description 22
- 238000013506 data mapping Methods 0.000 claims description 35
- 238000010586 diagram Methods 0.000 claims description 25
- 230000010354 integration Effects 0.000 claims description 22
- 238000012545 processing Methods 0.000 claims description 20
- 238000013507 mapping Methods 0.000 claims description 17
- 230000000007 visual effect Effects 0.000 claims description 15
- 238000012937 correction Methods 0.000 claims description 14
- 238000007726 management method Methods 0.000 claims description 11
- 238000013523 data management Methods 0.000 claims description 7
- 238000012098 association analyses Methods 0.000 claims description 5
- 238000009877 rendering Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 13
- 238000009826 distribution Methods 0.000 abstract description 10
- 238000010606 normalization Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/211—Schema design and management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2379—Updates performed during online database operations; commit processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to the technical field of data sharing, and provides a graph module data sharing method and system for full-network power supply, wherein the method comprises the following steps: building a power grid pattern module data sharing platform, wherein the power grid pattern module data sharing platform comprises a data exchange module, a pattern interaction module and a fusion sharing module; acquiring multi-source data information of a power grid through a data exchange module; constructing a graph module data sharing standard system; obtaining multi-source data information of a standard power grid; generating a power grid interaction model set which comprises sub-models of all power grid systems; obtaining a graphic element symbol library; and the fusion sharing module fuses the power grid interaction model set based on the graphic element symbol library to obtain a power grid sharing topological model, and performs graph module data display sharing based on the power grid sharing topological model. The method can solve the problem of low maintenance and application efficiency of the graph data due to various graph data expression modes of the power distribution network, and can improve the maintenance and application efficiency of the graph data of the power distribution network.
Description
Technical Field
The application relates to the technical field of data sharing, in particular to a graph module data sharing method and system for full-network power supply.
Background
The data sharing refers to a technology that a plurality of users share data in a database together according to a certain rule, and the time and cost of data acquisition can be reduced and the utilization rate of data resources can be improved through data sharing.
At present, the graph modules of various devices of the power distribution network are greatly different in representation modes due to the adoption of production technologies of different manufacturers, and maintenance is borne by different manufacturers. In order to build the intelligent power distribution network and promote practicality, a set of data model building and application system which accords with national network model standards and unifies the information standards of the power distribution network is designed as soon as possible, and the system becomes a very urgent task.
In summary, in the prior art, the problem of low graph module maintenance and application efficiency caused by various graph module data expression modes of the power distribution network exists.
Disclosure of Invention
Based on the foregoing, it is necessary to provide a graph module data sharing method and system for full-network power supply.
A graph-model data sharing method for whole network power supply, the method comprising: building a power grid graph module data sharing platform, wherein the power grid graph module data sharing platform comprises a data exchange module, a graph module interaction module and a fusion sharing module; acquiring multi-source data information of the power grid through the data exchange module, wherein the multi-source data information of the power grid comprises data source information of each power grid system; constructing a graph module data sharing standard system according to the power grid graph module data sharing platform; carrying out standardized processing and integration on the multi-source data information of the power grid based on the graph module data sharing standard system to obtain the multi-source data information of the standard power grid; the pattern interaction module generates a power grid interaction model set based on the pattern data sharing standard system and the standard power grid multi-source data information, wherein the power grid interaction model set comprises sub-models of all power grid systems; obtaining a graphic element symbol library according to the graphic module data sharing standard system; and the fusion sharing module fuses the power grid interaction model set based on the graphic element symbol library to obtain a power grid sharing topological model, and performs graph module data display sharing based on the power grid sharing topological model.
In one embodiment, further comprising: carrying out structural classification on the power grid multisource data information to obtain structural power grid data information, unstructured power grid data information and semi-structural navigation data information; normalizing the structured power grid data information, the unstructured power grid data information and the semi-structured navigation data information based on the graph module data sharing standard system to obtain reference power grid multi-source data information; classifying the reference power grid multisource data information according to the data description characteristics to obtain power grid data attribute characteristic information; and integrating the reference power grid multi-source data information according to the power grid data attribute characteristic information to obtain the standard power grid multi-source data information.
In one embodiment, further comprising: dividing and sorting the reference power grid multi-source data information according to the power grid data attribute characteristic information to obtain power grid attribute multi-source data information; obtaining a power grid data flow path according to the power grid data attribute characteristic information; determining a data mapping rule based on the power grid data flow direction path; and carrying out mapping comparison, correction and integration on the multi-source data information of the power grid attribute based on the data mapping rule to obtain the multi-source data information of the standard power grid.
In one embodiment, further comprising: mapping and comparing the power grid attribute multisource data information based on the data mapping rule to obtain opposite power grid data information; obtaining comparison data object information according to the opposite power grid data information; performing mapping association analysis on the comparison data object information based on the data mapping rule to determine a data mapping association level; and carrying out data correction integration on the opposite grid data information based on the upper level of the data mapping association level.
In one embodiment, further comprising: defining service types based on the power grid interaction model set to obtain a power grid model service feature set; obtaining model object attribute information according to the power grid model service feature set; performing element matching according to the model object attribute information and the graphic element symbol library to obtain model object feature elements; and carrying out fusion rendering on the power grid interaction model set based on the model object feature elements to obtain the power grid sharing topological model.
In one embodiment, further comprising: performing graph module data display based on the power grid sharing topological model to obtain visual graph module data; obtaining a target request service of an access user; performing matching call on the visual graph module data based on the target request service to obtain service request graph module data; and performing power grid service management and control based on the service request graph module.
In one embodiment, further comprising: based on a power grid model data management standard, formulating an application strategy for obtaining model data; determining a time update identification element according to the model data application strategy; acquiring data based on the time update identification element to obtain updated data information of the power grid model; and performing incremental update on the power grid sharing topological model based on the power grid model update data information.
A graph-module data sharing system for full network power, comprising:
the system comprises a power grid diagram module data sharing platform building module, a power grid diagram module data sharing platform, a power grid diagram module data processing module and a fusion sharing module, wherein the power grid diagram module data sharing platform building module is used for building a power grid diagram module data sharing platform;
the system comprises a power grid multi-source data information acquisition module, a data exchange module and a data management module, wherein the power grid multi-source data information acquisition module is used for acquiring power grid multi-source data information through the data exchange module, and the power grid multi-source data information comprises data source information of each power grid system;
the drawing module data sharing standard system construction module is used for constructing a drawing module data sharing standard system according to the power grid drawing module data sharing platform;
the standardized processing module is used for carrying out standardized processing and integration on the multi-source data information of the power grid based on the graph module data sharing standard system to obtain the multi-source data information of the standard power grid;
the power grid interaction model set generating module is used for generating a power grid interaction model set based on the graph module data sharing standard system and the standard power grid multi-source data information by the graph module interaction module, and the power grid interaction model set comprises sub-models of all power grid systems;
the graphic element symbol library obtaining module is used for obtaining a graphic element symbol library according to the graphic module data sharing standard system;
and the graph module data display sharing module is used for fusing the power grid interaction model set based on the graphic element symbol library by the fusion sharing module to obtain a power grid sharing topological model and carrying out graph module data display sharing based on the power grid sharing topological model.
The graph data sharing method and system for the whole network power supply can solve the problem that the maintenance and application efficiency of graph data is low due to the fact that the graph data of the power distribution network are various in expression mode, and a power grid graph data sharing platform is built firstly and comprises a data exchange module, a graph module interaction module and a fusion sharing module. And acquiring multi-source data information of the power grid through the data exchange module, and constructing a graph module data sharing standard system based on the power grid graph module data sharing platform. Then, carrying out standardized processing and integration on the multi-source data information of the power grid according to the graph module data sharing standard system to obtain the multi-source data information of the standard power grid; generating a power grid interaction model set based on the graph module data sharing standard system and the standard power grid multi-source data information; the graph model interaction module is used for storing a power grid interaction model set. Obtaining a graphic element symbol library according to the graphic module data sharing standard system; and finally, fusing the power grid interaction model set based on the graphic element symbol library to obtain a power grid sharing topological model, and carrying out graph module data display sharing according to the power grid sharing topological model. The efficiency of maintenance and application of the power grid graph module can be improved.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
FIG. 1 is a schematic flow chart of a method for sharing data in a network-wide power supply;
fig. 2 is a schematic flow chart of obtaining standard power grid multi-source data information in a graph module data sharing method for whole-grid power supply;
FIG. 3 is a schematic flow chart of a method for sharing power network topology in a method for sharing data of a map module for supplying power to a whole network;
fig. 4 is a schematic structural diagram of a modular data sharing system for full network power supply.
Reference numerals illustrate: the system comprises a power grid diagram module data sharing platform building module 1, a power grid multi-source data information acquisition module 2, a diagram module data sharing standard system building module 3, a standardized processing module 4, a power grid interaction model set generating module 5, a graphic element symbol library acquisition module 6 and a diagram module data display sharing module 7.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As shown in fig. 1, the present application provides a method for sharing image data for whole network power supply, the method comprising:
step S100: building a power grid graph module data sharing platform, wherein the power grid graph module data sharing platform comprises a data exchange module, a graph module interaction module and a fusion sharing module;
specifically, a power grid diagram data sharing platform is built, and the power grid diagram data sharing platform is used for building a power grid diagram data standard rule to realize power grid diagram data sharing. The power grid graph module data sharing platform consists of a data exchange module, a graph module interaction module and a fusion sharing module, wherein the data exchange module is used for realizing decoupling and transparent exchange between applications and comprises a data exchange middleware and an adapter. And the graph model interaction module is used for interacting the power grid data source information. And the fusion sharing module is used for fusing the power grid interaction model set in the graph module interaction module and carrying out graph module sharing display.
Step S200: acquiring multi-source data information of the power grid through the data exchange module, wherein the multi-source data information of the power grid comprises data source information of each power grid system;
step S300: constructing a graph module data sharing standard system according to the power grid graph module data sharing platform;
specifically, the data exchange module is used for obtaining multi-source data information of the power grid, wherein the multi-source data information of the power grid refers to data source information of each power grid system, and the power grid systems comprise a dispatching automation system, an electricity consumption information acquisition system, a marketing management system, a line loss management system, a cable network management system and the like. And constructing a graph module data sharing standard system according to the power grid graph module data sharing platform, wherein the graph module data sharing standard system comprises a graph module data storage format standard, a model standard, a visual graph module standard and the like. By constructing a graph module data sharing standard system, a basis is provided for unified storage, management and maintenance of graph module data in the next step.
Step S400: carrying out standardized processing and integration on the multi-source data information of the power grid based on the graph module data sharing standard system to obtain the multi-source data information of the standard power grid;
as shown in fig. 2, in one embodiment, step S400 of the present application further includes:
step S410: carrying out structural classification on the power grid multisource data information to obtain structural power grid data information, unstructured power grid data information and semi-structural navigation data information;
step S420: normalizing the structured power grid data information, the unstructured power grid data information and the semi-structured navigation data information based on the graph module data sharing standard system to obtain reference power grid multi-source data information;
step S430: classifying the reference power grid multisource data information according to the data description characteristics to obtain power grid data attribute characteristic information;
specifically, according to the graph-model data standard system, graph-model data standardization processing and integration are carried out on the power grid multi-source data information, and firstly, structural classification is carried out on the power grid multi-source data information to obtain structural power grid data information, unstructured power grid data information and semi-structural power grid navigation information. The structured grid data information refers to data that can be expressed and realized by a two-dimensional table, and the unstructured grid data refers to data without fixed structures, for example: picture, video, etc. The semi-structured grid navigation data is grid operation data with mixed data structure and content.
And carrying out data normalization processing on each semi-structure navigation data of the structured power grid data and the unstructured power grid data according to the graph-model data sharing standard system, wherein the data normalization processing refers to converting the data from a dimensionalized expression to a dimensionless expression, so that the data processing efficiency can be improved, and the multi-source data information of the reference power grid can be obtained. And carrying out data classification on the multi-source data information of the reference power grid according to data description characteristics, wherein the data description characteristics comprise data source types, data grades and the like, and obtaining power grid data attribute characteristic information.
Step S440: and integrating the reference power grid multi-source data information according to the power grid data attribute characteristic information to obtain the standard power grid multi-source data information.
In one embodiment, step S440 of the present application further comprises:
step S441: dividing and sorting the reference power grid multi-source data information according to the power grid data attribute characteristic information to obtain power grid attribute multi-source data information;
step S442: obtaining a power grid data flow path according to the power grid data attribute characteristic information;
step S443: determining a data mapping rule based on the power grid data flow direction path;
and dividing and sorting the reference power grid multi-source data information according to the power grid data attribute characteristic information to obtain power grid attribute multi-source data information. And obtaining a power grid data flow path according to the power grid attribute characteristic information, wherein the power grid data flow path information refers to a flow path from upstream information to downstream information of a power grid, for example, the power grid attribute characteristic information comprises power supply data and power consumption data, and the power grid data flow path is the power supply data flow to the power consumption data. And determining a data mapping rule according to the power grid data flow direction path, wherein the data mapping rule is used for representing the relation among all system data.
Step S444: and carrying out mapping comparison, correction and integration on the multi-source data information of the power grid attribute based on the data mapping rule to obtain the multi-source data information of the standard power grid.
In one embodiment, step S444 of the present application further includes:
step S4441: mapping and comparing the power grid attribute multisource data information based on the data mapping rule to obtain opposite power grid data information;
step S4442: obtaining comparison data object information according to the opposite power grid data information;
step S4443: performing mapping association analysis on the comparison data object information based on the data mapping rule to determine a data mapping association level;
step S4444: and carrying out data correction integration on the opposite grid data information based on the upper level of the data mapping association level.
Specifically, mapping and comparing the power grid attribute multisource data information according to the data mapping rule to obtain opposite power grid data information, wherein the opposite power grid data information refers to power grid data with correlation between the opposite power grid data information and the opposite power grid data information. Obtaining comparison data object information according to the opposite power grid data information, wherein the comparison data object information refers to attribute characteristics of data, such as: power supply data and power usage data. And analyzing the relevance between the comparison data object information according to the data mapping rule to obtain a data mapping relevance level, wherein the data mapping relevance level refers to the upper and lower layer relationship of data, for example, power supply data is upper layer data of power utilization data. And finally, carrying out data correction integration on the opposite grid data information according to the upper level of the data mapping relation. The data correction integration refers to, when the upper level data and the lower level data are inconsistent, taking the data of the upper level object as reference, for example: when the power supply data and the power consumption data are different from each other, the power supply data are used as the reference. And the accuracy of the grid data acquisition can be improved by carrying out data correction integration on the opposite grid data information according to the data mapping relation. And obtaining the standard power grid multisource data information.
Step S500: the pattern interaction module generates a power grid interaction model set based on the pattern data sharing standard system and the standard power grid multi-source data information, wherein the power grid interaction model set comprises sub-models of all power grid systems;
step S600: obtaining a graphic element symbol library according to the graphic module data sharing standard system;
specifically, based on the type of the power grid system, generating a plurality of power grid system sub-models according to the graph module data sharing standard system and the standard power grid multi-source data information, wherein the standard power grid multi-source data information of the type of the power grid system is stored in the power grid system sub-models. Generating a power grid interaction model set through a plurality of power grid system sub-models, wherein the graph model interaction module is used for storing the power grid interaction model set. According to the graph module data sharing standard system, unified graph element symbol setting is carried out according to the object characteristics of each power grid to obtain a graph element symbol library, and the graph module data types of the power grid can be obtained more intuitively by generating the graph element symbol library, so that a basis is provided for visual display of the graph module data of the power grid.
Step S700: and the fusion sharing module fuses the power grid interaction model set based on the graphic element symbol library to obtain a power grid sharing topological model, and performs graph module data display sharing based on the power grid sharing topological model.
As shown in fig. 3, in one embodiment, step S700 of the present application further includes:
step S710: defining service types based on the power grid interaction model set to obtain a power grid model service feature set;
step S720: obtaining model object attribute information according to the power grid model service feature set;
step S730: performing element matching according to the model object attribute information and the graphic element symbol library to obtain model object feature elements;
step S740: and carrying out fusion rendering on the power grid interaction model set based on the model object feature elements to obtain the power grid sharing topological model.
Specifically, the fusion sharing module is configured to identify, according to the graphic element symbol library, a sub-model of a power grid system in the power grid interaction model set, and first define a service type according to the power grid interaction model set, where the service type refers to a service that each power grid model is responsible for at a sharing platform, for example: information acquisition business, maintenance business and the like, and obtaining a power grid model business feature set. And determining a model object related to the service type, such as an object related to power supply service, including a generator, a power transmission line and the like, according to the power grid model service feature set, and obtaining model object attribute information. And performing element symbol matching on the model object attribute information and the graphic element symbol library to obtain model object feature elements. And fusing a plurality of power grid system sub-models in the power grid interaction model set according to the model object feature elements to obtain a power grid sharing topology model. By obtaining the power grid sharing topology model, support is provided for the next step of graph module data display sharing.
In one embodiment, step S700 of the present application further includes:
step S750: performing graph module data display based on the power grid sharing topological model to obtain visual graph module data;
step S760: obtaining a target request service of an access user;
step S770: performing matching call on the visual graph module data based on the target request service to obtain service request graph module data;
step S780: and performing power grid service management and control based on the service request graph module.
And particularly, carrying out graphic module data display according to the power grid sharing topological model to obtain visual graphic module data, wherein the visual graphic module data refer to graphic module data with graphic element symbols. And obtaining a target request task of an access user, matching and calling data of the visual graph module according to the target request task, wherein the calling data is the service request graph module data. And finally, carrying out power grid service management and control according to the service request graph module data, wherein the power grid service comprises a plurality of aspects such as equipment operation and maintenance management and control, emergency management and command and the like.
In one embodiment, step S700 of the present application further includes:
step S790: based on a power grid model data management standard, formulating an application strategy for obtaining model data;
step S7100: determining a time update identification element according to the model data application strategy;
step S7110: acquiring data based on the time update identification element to obtain updated data information of the power grid model;
step S7120: and performing incremental update on the power grid sharing topological model based on the power grid model update data information.
Specifically, according to the power grid model data management standard, a model data application strategy is formulated, wherein the model data application strategy refers to rules such as effective time and data update period of graph model data. And obtaining a time update identification element according to the model data application strategy, wherein the time update identification element comprises the type of the to-be-updated graph model data and the data update period. And carrying out data acquisition on the power grid graph at regular time according to the data updating period to obtain updated data information of the power grid model. And finally, incremental updating is carried out on the data with the effective time in the power grid sharing topological model according to the power grid model updating data information. The method solves the problem of low graph data maintenance and application efficiency caused by various graph data expression modes of the power distribution network, and the efficiency of the maintenance and application of the graph data of the power distribution network can be improved by carrying out graph data display sharing based on the power grid sharing topological model.
In one embodiment, as shown in FIG. 4, there is provided a graph module data sharing system for full network power, comprising: the system comprises a power grid diagram module data sharing platform building module 1, a power grid multi-source data information acquisition module 2, a diagram module data sharing standard system building module 3, a standardized processing module 4, a power grid interaction model set generating module 5, a graphic element symbol library obtaining module 6 and a diagram module data display sharing module 7, wherein:
the power grid diagram module data sharing platform building module 1 is used for building a power grid diagram module data sharing platform, and the power grid diagram module data sharing platform comprises a data exchange module, a diagram module interaction module and a fusion sharing module;
the power grid multi-source data information acquisition module 2 is used for acquiring power grid multi-source data information through the data exchange module, wherein the power grid multi-source data information comprises data source information of each power grid system;
the drawing module data sharing standard system construction module 3 is used for constructing a drawing module data sharing standard system according to the power grid drawing module data sharing platform;
the standardized processing module 4 is used for carrying out standardized processing and integration on the multi-source data information of the power grid based on the graph-model data sharing standard system to obtain the multi-source data information of the standard power grid;
the power grid interaction model set generating module 5 is used for generating a power grid interaction model set based on the graph module data sharing standard system and the standard power grid multi-source data information by the graph module interaction module 5, wherein the power grid interaction model set comprises sub-models of all power grid systems;
the graphic element symbol library obtaining module 6 is used for obtaining a graphic element symbol library according to the graphic module data sharing standard system;
and the graph module data display sharing module 7 is used for fusing the power grid interaction model set based on the graphic element symbol library by the fusion sharing module to obtain a power grid sharing topological model, and performing graph module data display sharing based on the power grid sharing topological model.
In one embodiment, the system further comprises:
the structured classification module is used for carrying out structured classification on the multi-source data information of the power grid to obtain structured power grid data information, unstructured power grid data information and semi-structured navigation data information;
the normalization processing module is used for carrying out normalization processing on the structured power grid data information, the unstructured power grid data information and the semi-structured navigation data information based on the graph module data sharing standard system to obtain reference power grid multi-source data information;
the multi-source data information classification module is used for classifying the reference power grid multi-source data information according to data description characteristics to obtain power grid data attribute characteristic information;
the standard power grid multi-source data information acquisition module is used for integrating the standard power grid multi-source data information according to the power grid data attribute characteristic information to acquire the standard power grid multi-source data information.
In one embodiment, the system further comprises:
the power grid attribute multi-source data information acquisition module is used for dividing and sorting the reference power grid multi-source data information according to the power grid data attribute characteristic information to acquire power grid attribute multi-source data information;
the power grid data flow direction path obtaining module is used for obtaining a power grid data flow direction path according to the power grid data attribute characteristic information;
the data mapping rule determining module is used for determining a data mapping rule based on the power grid data flow path;
and the mapping comparison module is used for carrying out mapping comparison and correction integration on the power grid attribute multi-source data information based on the data mapping rule to obtain the standard power grid multi-source data information.
In one embodiment, the system further comprises:
the mapping comparison module is used for mapping and comparing the power grid attribute multi-source data information based on the data mapping rule to obtain opposite power grid data information;
the comparison data object information obtaining module is used for obtaining comparison data object information according to the opposite power grid data information;
the mapping association analysis module is used for carrying out mapping association analysis on the comparison data object information based on the data mapping rule and determining a data mapping association level;
and the data correction integration module is used for carrying out data correction integration on the opposite grid data information based on an upper level of the data mapping association level.
In one embodiment, the system further comprises:
the service type definition module is used for defining the service type based on the power grid interaction model set to obtain a power grid model service feature set;
the model object attribute information obtaining module is used for obtaining model object attribute information according to the power grid model service feature set;
the element matching module is used for performing element matching according to the model object attribute information and the graphic element symbol library to obtain model object feature elements;
the power grid sharing topological model obtaining module is used for carrying out fusion rendering on the power grid interaction model set based on the model object feature elements to obtain the power grid sharing topological model.
In one embodiment, the system further comprises:
the visual graph module data acquisition module is used for displaying graph module data based on the power grid sharing topology model to acquire visual graph module data;
the target request service acquisition module is used for acquiring a target request service of an access user;
the matching calling module is used for carrying out matching calling on the visual graph module data based on the target request service to obtain service request graph module data;
and the power grid service management and control module is used for managing and controlling power grid services based on the service request graph data.
In one embodiment, the system further comprises:
the model data application strategy obtaining module is used for formulating and obtaining a model data application strategy based on the power grid model data management standard;
the time update identification element obtaining module is used for determining a time update identification element according to the model data application strategy;
the data acquisition module is used for acquiring data based on the time updating identification element to obtain updated data information of the power grid model;
and the incremental updating module is used for carrying out incremental updating on the power grid sharing topological model based on the power grid model updating data information.
In summary, the present application provides a method and a system for sharing graph module data for full network power supply, which have the following technical effects:
1. the problem that the maintenance and application efficiency of the graph data is low due to the fact that the graph data of the power distribution network are various in expression mode is solved, the graph data is displayed and shared based on the power grid sharing topological model, and the maintenance and application efficiency of the graph data of the power grid can be improved.
2. And the accuracy of the grid data acquisition can be improved by carrying out data correction integration on the opposite grid data information according to the data mapping relation.
3. By generating the graphic element symbol library, the type of the power grid pattern data can be obtained more intuitively, and a basis is provided for the visual display of the power grid pattern data.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (8)
1. A graph-model data sharing method for whole network power supply, the method comprising:
building a power grid graph module data sharing platform, wherein the power grid graph module data sharing platform comprises a data exchange module, a graph module interaction module and a fusion sharing module;
acquiring multi-source data information of the power grid through the data exchange module, wherein the multi-source data information of the power grid comprises data source information of each power grid system;
constructing a graph module data sharing standard system according to the power grid graph module data sharing platform;
carrying out standardized processing and integration on the multi-source data information of the power grid based on the graph module data sharing standard system to obtain the multi-source data information of the standard power grid;
the pattern interaction module generates a power grid interaction model set based on the pattern data sharing standard system and the standard power grid multi-source data information, wherein the power grid interaction model set comprises sub-models of all power grid systems;
obtaining a graphic element symbol library according to the graphic module data sharing standard system;
and the fusion sharing module fuses the power grid interaction model set based on the graphic element symbol library to obtain a power grid sharing topological model, and performs graph module data display sharing based on the power grid sharing topological model.
2. The method of claim 1, wherein the obtaining standard grid multi-source data information comprises:
carrying out structural classification on the power grid multisource data information to obtain structural power grid data information, unstructured power grid data information and semi-structural navigation data information;
normalizing the structured power grid data information, the unstructured power grid data information and the semi-structured navigation data information based on the graph module data sharing standard system to obtain reference power grid multi-source data information;
classifying the reference power grid multisource data information according to the data description characteristics to obtain power grid data attribute characteristic information;
and integrating the reference power grid multi-source data information according to the power grid data attribute characteristic information to obtain the standard power grid multi-source data information.
3. The method according to claim 2, wherein integrating the reference grid multi-source data information according to the grid data attribute feature information to obtain the standard grid multi-source data information comprises:
dividing and sorting the reference power grid multi-source data information according to the power grid data attribute characteristic information to obtain power grid attribute multi-source data information;
obtaining a power grid data flow path according to the power grid data attribute characteristic information;
determining a data mapping rule based on the power grid data flow direction path;
and carrying out mapping comparison, correction and integration on the multi-source data information of the power grid attribute based on the data mapping rule to obtain the multi-source data information of the standard power grid.
4. A method according to claim 3, wherein the mapping, correction and integration of the multi-source data information of the power grid attribute based on the data mapping rule comprises:
mapping and comparing the power grid attribute multisource data information based on the data mapping rule to obtain opposite power grid data information;
obtaining comparison data object information according to the opposite power grid data information;
performing mapping association analysis on the comparison data object information based on the data mapping rule to determine a data mapping association level;
and carrying out data correction integration on the opposite grid data information based on the upper level of the data mapping association level.
5. The method of claim 1, wherein the obtaining a grid sharing topology model comprises:
defining service types based on the power grid interaction model set to obtain a power grid model service feature set;
obtaining model object attribute information according to the power grid model service feature set;
performing element matching according to the model object attribute information and the graphic element symbol library to obtain model object feature elements;
and carrying out fusion rendering on the power grid interaction model set based on the model object feature elements to obtain the power grid sharing topological model.
6. The method of claim 1, wherein the graph-model data presentation sharing based on the grid sharing topology model comprises:
performing graph module data display based on the power grid sharing topological model to obtain visual graph module data;
obtaining a target request service of an access user;
performing matching call on the visual graph module data based on the target request service to obtain service request graph module data;
and performing power grid service management and control based on the service request graph module.
7. The method of claim 1, wherein the method comprises:
based on a power grid model data management standard, formulating an application strategy for obtaining model data;
determining a time update identification element according to the model data application strategy;
acquiring data based on the time update identification element to obtain updated data information of the power grid model;
and performing incremental update on the power grid sharing topological model based on the power grid model update data information.
8. A graph-module data sharing system for full network power, the system comprising:
the system comprises a power grid diagram module data sharing platform building module, a power grid diagram module data sharing platform, a power grid diagram module data processing module and a fusion sharing module, wherein the power grid diagram module data sharing platform building module is used for building a power grid diagram module data sharing platform;
the system comprises a power grid multi-source data information acquisition module, a data exchange module and a data management module, wherein the power grid multi-source data information acquisition module is used for acquiring power grid multi-source data information through the data exchange module, and the power grid multi-source data information comprises data source information of each power grid system;
the drawing module data sharing standard system construction module is used for constructing a drawing module data sharing standard system according to the power grid drawing module data sharing platform;
the standardized processing module is used for carrying out standardized processing and integration on the multi-source data information of the power grid based on the graph module data sharing standard system to obtain the multi-source data information of the standard power grid;
the power grid interaction model set generating module is used for generating a power grid interaction model set based on the graph module data sharing standard system and the standard power grid multi-source data information by the graph module interaction module, and the power grid interaction model set comprises sub-models of all power grid systems;
the graphic element symbol library obtaining module is used for obtaining a graphic element symbol library according to the graphic module data sharing standard system;
and the graph module data display sharing module is used for fusing the power grid interaction model set based on the graphic element symbol library by the fusion sharing module to obtain a power grid sharing topological model and carrying out graph module data display sharing based on the power grid sharing topological model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310453635.6A CN116467285B (en) | 2023-04-23 | 2023-04-23 | Graph module data sharing method and system for whole network power supply |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310453635.6A CN116467285B (en) | 2023-04-23 | 2023-04-23 | Graph module data sharing method and system for whole network power supply |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116467285A true CN116467285A (en) | 2023-07-21 |
| CN116467285B CN116467285B (en) | 2024-02-09 |
Family
ID=87184096
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310453635.6A Active CN116467285B (en) | 2023-04-23 | 2023-04-23 | Graph module data sharing method and system for whole network power supply |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116467285B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120173252A1 (en) * | 2011-01-04 | 2012-07-05 | International Business Machines Corporation | Subscriber-driven system for managing events in an electrical grid |
| US20130091258A1 (en) * | 2011-10-07 | 2013-04-11 | Cisco Technology, Inc. | Communication network topology management based on an associated electric grid topology |
| CN103714150A (en) * | 2013-12-29 | 2014-04-09 | 国家电网公司 | Visualization error correction method of power distribution network topology model |
| CN104143127A (en) * | 2014-07-18 | 2014-11-12 | 国家电网公司 | CIM-based three-diagram linkage processing method for distribution network |
| CN106056481A (en) * | 2016-06-23 | 2016-10-26 | 中国南方电网有限责任公司电网技术研究中心 | Distribution power multi-source data system and multi-source data processing method |
| CN110570101A (en) * | 2019-08-20 | 2019-12-13 | 深圳供电局有限公司 | Intelligent OMS system for power grid distribution network |
| CN112287423A (en) * | 2020-11-02 | 2021-01-29 | 国网江苏省电力有限公司泰州供电分公司 | Power distribution network visual planning method and terminal based on graph-model integration |
| CN114860839A (en) * | 2022-07-07 | 2022-08-05 | 中国长江三峡集团有限公司 | Power distribution network data analysis and visualization system and method |
-
2023
- 2023-04-23 CN CN202310453635.6A patent/CN116467285B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120173252A1 (en) * | 2011-01-04 | 2012-07-05 | International Business Machines Corporation | Subscriber-driven system for managing events in an electrical grid |
| US20130091258A1 (en) * | 2011-10-07 | 2013-04-11 | Cisco Technology, Inc. | Communication network topology management based on an associated electric grid topology |
| CN103714150A (en) * | 2013-12-29 | 2014-04-09 | 国家电网公司 | Visualization error correction method of power distribution network topology model |
| CN104143127A (en) * | 2014-07-18 | 2014-11-12 | 国家电网公司 | CIM-based three-diagram linkage processing method for distribution network |
| CN106056481A (en) * | 2016-06-23 | 2016-10-26 | 中国南方电网有限责任公司电网技术研究中心 | Distribution power multi-source data system and multi-source data processing method |
| CN110570101A (en) * | 2019-08-20 | 2019-12-13 | 深圳供电局有限公司 | Intelligent OMS system for power grid distribution network |
| CN112287423A (en) * | 2020-11-02 | 2021-01-29 | 国网江苏省电力有限公司泰州供电分公司 | Power distribution network visual planning method and terminal based on graph-model integration |
| CN114860839A (en) * | 2022-07-07 | 2022-08-05 | 中国长江三峡集团有限公司 | Power distribution network data analysis and visualization system and method |
Non-Patent Citations (1)
| Title |
|---|
| 米为民;韦凌霄;钱静;刘润生;潘毅;邹跃中;: "基于CIM XML的电网模型合并方法在北京电力公司调度系统中的应用", 电网技术, no. 10, pages 33 - 37 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116467285B (en) | 2024-02-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103077212B (en) | Transformer substation configuration file control method and system | |
| CN101452450A (en) | Multiple source data conversion service method and apparatus thereof | |
| CN102750406A (en) | Multi-version management method for model set and difference model-based power grid model | |
| US20140371933A1 (en) | Electric power consumption management system and method | |
| CN112860689A (en) | Platform system based on space-time grid data | |
| CN110532047B (en) | Power grid graph standardization system for regulating and controlling cloud platform | |
| CN101923697B (en) | Geographic information accessory system applicable to large screen and implementation method thereof | |
| CN113377344A (en) | Complex information system comprehensive integration method | |
| CN115858829A (en) | Multi-source heterogeneous environment data asset construction method based on computational power network | |
| CN116467285B (en) | Graph module data sharing method and system for whole network power supply | |
| CN116467788A (en) | Barrier-free environment construction management method and system | |
| CN115439618A (en) | Intelligent park information model system | |
| CN106657282B (en) | Method and device for integrating running state information of converter station equipment | |
| CN111524031B (en) | Implementation method and system for intelligently generating operation steps based on analysis operation task | |
| CN105844546B (en) | GIS mirror image technology-based power distribution network information interaction method | |
| CN102855310B (en) | Well-organized electricity utilization data conversion method and device based on extensible customer segmentation model | |
| CN116523328A (en) | Intelligent decision-making method for cooperation of aviation equipment and manufacturing industry chain | |
| CN115937881A (en) | Method for automatically identifying content of knowledge graph construction standard form | |
| CN114756925A (en) | Operation and maintenance management method and device for urban rail transit system | |
| CN115237989A (en) | Mine data acquisition system | |
| Li et al. | Research on visual logistics big data information service system | |
| CN113159721A (en) | Internet of things platform based on full life cycle of equipment | |
| Lyu et al. | Design and implementation of railway green performance basic data collection system | |
| CN117713080A (en) | Graph module data sharing system and method based on power distribution topology model | |
| CN114389242B (en) | Distribution network protection setting fault analysis method based on multi-source data integration |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |