CN113642850A - Data fusion method and terminal for power distribution network planning - Google Patents

Data fusion method and terminal for power distribution network planning Download PDF

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Publication number
CN113642850A
CN113642850A CN202110819394.3A CN202110819394A CN113642850A CN 113642850 A CN113642850 A CN 113642850A CN 202110819394 A CN202110819394 A CN 202110819394A CN 113642850 A CN113642850 A CN 113642850A
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data
distribution network
power distribution
model
planning
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Inventor
黄霆
曹锦晖
陈葛亮
李伟伦
郑桐林
白阳
项恺
李俊
何浩民
钱天能
陈益哲
戴丽媛
顾伟华
姜吉祥
季媛媛
朱忆洋
臧志斌
赵建伟
赵光
姚可筠
王震
吴献立
姚硕
施忠民
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XIAMEN GREAT POWER GEO INFORMATION TECHNOLOGY CO LTD
Nantong Power Supply Co Of State Grid Jiangsu Electric Power Co
State Grid Information and Telecommunication Co Ltd
Nantong Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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XIAMEN GREAT POWER GEO INFORMATION TECHNOLOGY CO LTD
Nantong Power Supply Co Of State Grid Jiangsu Electric Power Co
State Grid Information and Telecommunication Co Ltd
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Priority to CN202110819394.3A priority Critical patent/CN113642850A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses a data fusion method and a terminal for power distribution network planning, which are characterized in that the obtained multi-source data are verified to obtain verified data, the verified data are subjected to model adaptation, the verified data are converted into net rack model data according to a determined data model adapted to the data model, and finally a power distribution network net rack model is established according to the net rack model data, so that a power distribution network net rack model specially oriented to power distribution network planning services can be generated, the multi-source data are fused, the barriers that data standards of data collection source departments are different and share the data is insufficient are overcome, the multi-source data are fully applied, the power distribution network net rack model is combined, the hierarchical structure of a power distribution network can be displayed more intuitively, and the refinement of power distribution network planning work is improved.

Description

Data fusion method and terminal for power distribution network planning
Technical Field
The invention relates to the technical field of power systems, in particular to a data fusion method and a terminal for power distribution network planning.
Background
Different from traditional asset management and power grid operation, the power distribution network planning major mainly aims at power grid development demand analysis and pays more attention to the power distribution network frame structure and the geographical layout condition, so that a power grid model required by business is different from the existing models of other professional information systems. The lack of a professional power distribution network rack model for development always causes great obstruction to the lean promotion of power distribution network planning work.
In the process of developing a planning service of the power distribution network, a large amount of data of different types need to be collected, and the electric power data information has a wide range of application, and generally comprises four types of equipment attribute information, facility geographic distribution information, power grid topological structure information, power grid operation information and the like. The data acquisition function is required to be more highly efficient and rapid in the aspects of acquiring the data, realizing data verification operation of the data and the like.
In China, the traditional data acquisition system is oriented to single power distribution application, and a free and controllable dispatching mode of multi-source data is not provided. With the continuous development of automatic information construction of the power distribution network, the power distribution network provides higher requirements on the aspects of real-time acquisition, quality detection, data precision and the like of multi-source data information. From the system deployment situation and the power management mode of the current power grid company, each department has already built an information system meeting the needs of each professional business to acquire and maintain the power grid equipment ledger and the operation information, including: production management system, geographic information system, distribution automation, power consumption collection system, etc. However, data standards are inconsistent among systems, sharing degree is low, and barriers exist among data systems.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the data fusion method and the terminal for power distribution network planning are provided, and multi-source data can be fused to realize full application of the multi-source data.
In order to solve the technical problems, the invention adopts a technical scheme that:
a data fusion method for power distribution network planning comprises the following steps:
acquiring data sent by different data platforms to obtain multi-source data;
the multi-source data is verified to obtain verified data;
carrying out model adaptation on the verified data, and determining a data model adapted to the verified data;
converting the verified data into grid model data according to the data model;
and establishing a power distribution network frame model according to the network frame model data.
In order to solve the technical problem, the invention adopts another technical scheme as follows:
a data fusion terminal for power distribution network planning comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the following steps:
acquiring data sent by different data platforms to obtain multi-source data;
the multi-source data is verified to obtain verified data;
carrying out model adaptation on the verified data, and determining a data model adapted to the verified data;
converting the verified data into grid model data according to the data model;
and establishing a power distribution network frame model according to the network frame model data.
The invention has the beneficial effects that:
the method comprises the steps of verifying acquired multi-source data to obtain verified data, performing model adaptation on the verified data, converting the verified data into net rack model data according to a determined data model adapted to the data model, and finally establishing a power distribution network rack model according to the net rack model data.
Drawings
Fig. 1 is a flowchart illustrating steps in a data fusion method for power distribution network planning according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a data fusion terminal for power distribution network planning according to an embodiment of the present invention;
fig. 3 is a functional schematic diagram of a data fusion method for power distribution network planning according to an embodiment of the present invention;
fig. 4 is a hierarchical structure diagram in the data fusion method for power distribution network planning according to the embodiment of the present invention;
fig. 5 is a schematic view of a current network frame in the data fusion method for power distribution network planning according to the embodiment of the present invention;
fig. 6 is a schematic view of a current network frame in the data fusion method for power distribution network planning according to the embodiment of the present invention;
fig. 7 is a schematic view illustrating visualization of equipment ledger data and operation data in the data fusion method for power distribution network planning according to the embodiment of the present invention;
fig. 8 is a schematic diagram of a planning grid structure in the data fusion method for power distribution network planning according to the embodiment of the present invention.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
Referring to fig. 1, an embodiment of the present invention provides a data fusion method for power distribution network planning, including the steps of:
acquiring data sent by different data platforms to obtain multi-source data;
the multi-source data is verified to obtain verified data;
carrying out model adaptation on the verified data, and determining a data model adapted to the verified data;
converting the verified data into grid model data according to the data model;
and establishing a power distribution network frame model according to the network frame model data.
From the above description, the beneficial effects of the present invention are: the method comprises the steps of verifying acquired multi-source data to obtain verified data, performing model adaptation on the verified data, converting the verified data into net rack model data according to a determined data model adapted to the data model, and finally establishing a power distribution network rack model according to the net rack model data.
Further, the acquiring data sent by different data platforms includes:
acquiring geographic information system power grid graphic data sent by a GIS platform, and solidifying the geographic information system power grid graphic data according to a preset time interval;
acquiring equipment ledger data sent by a power distribution network automation platform;
acquiring equipment operation statistical data sent by a data center station, and periodically performing incremental storage on the equipment operation statistical data according to the characteristics of the equipment operation statistical data;
and calling the data middling station in real time according to the data item to be inquired to acquire corresponding equipment operation data.
According to the description, the data are obtained through various ways, the multi-source collection of the data is realized, and the unified management of the basic ledger information and the operation information of the power grid resources meeting the development planning work is realized.
Further, the verifying the multi-source data to obtain verified data includes:
checking the consistency, integrity and relevance of the multi-source data according to a preset checking rule to obtain a checking result;
and repairing the multi-source data in a corresponding repairing mode according to the checking result to obtain the checked data.
According to the description, the multi-source data can be continuously updated and used by checking and repairing the multi-source data, the data quality is guaranteed, the data abnormality is reduced, and a data foundation is laid for subsequently establishing a power distribution network model.
Further, performing model adaptation on the verified data, and determining a data model adapted to the verified data includes:
and establishing a data model adaptive to the planning service of the power distribution network according to the planning service requirement of the power distribution network, wherein the data model comprises a service data model and a graphic data model.
According to the description, a special power distribution network data model based on the geographic information technology is constructed according to the requirements of power distribution network planning services, model adaptation is carried out on the verified data, the collected multi-source data can be fused and applied by combining the geographic information technology, and the conditions that data standards are inconsistent among systems, the sharing degree is low and barriers exist among data systems are avoided.
Furthermore, the multi-source data comprises geographic information system power grid graphic data, equipment ledger data and equipment operation data;
the step of establishing the power distribution network rack model according to the network rack model data comprises the following steps:
receiving a current net rack drawing request, and drawing power grid equipment corresponding to the current net rack drawing request according to the converted geographic information system power grid graphic data to form a current net rack;
receiving a power distribution network automatic display request, and visually displaying the standing book data and the operation data corresponding to the power grid equipment of the power distribution network automatic display request according to the converted equipment standing book data and the equipment operation data;
and receiving a planning net rack drawing request, and drawing the power grid equipment corresponding to the planning net rack drawing request on the basis of the current net rack according to the converted geographic information system power grid graphic data to form a planning net rack.
According to the description, the current net rack drawing request, the distribution network automation display request and the planning net rack drawing request are received according to the power distribution network model, corresponding data are called from the net rack model data for display, man-machine interaction is achieved, the geographic information technology is combined, geographic map data, a power grid net rack, archive data, operation data and other information are integrated, the power distribution network hierarchical structure is displayed visually, equipment operation data and account data are displayed flexibly, multi-platform data are displayed on a unified platform, multi-dimensional display of the equipment attributes is achieved, convenience in checking the equipment attributes is improved, and implementation of planning and designing work of the power distribution network is effectively assisted.
Example one
Referring to fig. 1, 3 and 4, a data fusion method for power distribution network planning in this embodiment includes the steps of:
s0, establishing a data model adapted to a power distribution network planning service according to the power distribution network planning service requirement, wherein the data model comprises a service data model and a graphic data model;
for example, as shown in fig. 3, a data model adapted to a power distribution network planning service is established according to a power distribution network planning service requirement, where the data model includes a service data model, as shown in table 1:
TABLE 1 Business data model
Figure BDA0003171487490000051
Figure BDA0003171487490000061
As shown in table 1, a service data model is formed by establishing tables of different types, each table has a corresponding table name, table object name and table type, and different service related data are recorded in the tables;
the data model also includes a graphical data model, as shown in table 2:
TABLE 2 graphic data model
Figure BDA0003171487490000062
Figure BDA0003171487490000071
As shown in table 2, a graph data model is formed by establishing a basic table and a plurality of device tables, each table has a corresponding table name, a table object name and a table type, and different graph device related data are recorded in the tables;
s1, acquiring data sent by different data platforms to obtain multi-source data;
the multi-source data comprises geographic information system power grid graphic data, equipment ledger data and equipment operation data;
specifically, the acquiring data sent by different data platforms includes:
acquiring geographic information system power grid graphic data sent by a GIS platform, and solidifying the geographic information system power grid graphic data according to a preset time interval;
acquiring equipment ledger data sent by a power distribution network automation platform;
acquiring equipment operation statistical data sent by a data center station, and periodically performing incremental storage on the equipment operation statistical data according to the characteristics of the equipment operation statistical data;
calling the data middlebox in real time according to the data items to be inquired to acquire corresponding equipment operation data;
for example, as shown in fig. 3, the service platform acquires the GIS (Geographic Information System) grid graphic data sent by the GIS platform, and the service platform stores the GIS grid graphic data to the database for solidification at regular or irregular intervals to form one data section in each quarter;
acquiring equipment ledger data automatically transmitted by a power distribution network;
issuing a device operation statistical data request to a data center platform through a service providing platform, receiving device operation statistical data collected by systems such as a D5000 System, a PMS (power Production Management System) and a utilization System and the like and sent by the data center platform, and periodically storing the device operation statistical data increment into a database according to the characteristics of the device operation statistical data, for example, for the maximum monthly load of a transformer, storing the data increment into the database every month;
issuing a device operation data request to a data center station through a service platform, calling an interface of the data center station in real time according to data items such as device ID, name and the like, receiving corresponding device operation data acquired by the data center station from systems such as D5000, PMS, utilization and the like, wherein the device operation data is not stored in a database, and the specific calling mode is as follows:
inquiring the power transmission line-overhead line according to the ID:
interface description: inquiring detailed information of the power transmission line-overhead line according to the ID;
interface mode: REST;
calling frequency: calling in real time;
interface input: a line ID;
and (3) interface output: line name, voltage class, erection mode, commissioning date, total line length (kilometer), equipment state, cross-region type, line property, starting point type, starting point position, ending point type, ending point position, whether to put up lines on the same tower or not, and scheduling quota;
inquiring the power transmission line-cable section according to the ID:
interface description: inquiring detailed information of the transmission line-cable section according to the ID;
interface mode: REST;
calling frequency: calling in real time;
interface input: a cable segment ID;
and (3) interface output: line name, voltage class, erection mode, commissioning date, total line length (kilometer), equipment state, cross-region type, line property, starting point type, starting point position, ending point type, ending point position, whether to put up lines on the same tower or not, and scheduling quota;
s2, verifying the multi-source data to obtain verified data;
specifically, checking the consistency, integrity and relevance of the multi-source data according to a preset checking rule to obtain a checking result;
for example, as shown in fig. 3, the graph data of the GIS grid in the multi-source data is checked, the checking rules are respectively an isolated distribution transformer and a flying line (large feeder), the distribution transformer is used as a starting point, and whether a superior connection device of the distribution transformer exists is searched and judged through the device connection relation, if not, the grid is judged as an isolated device; inquiring all the wire sections and cable sections of the large feeder line, splicing all the wire sections and cable sections according to coordinates by taking the outgoing line of the large feeder line as a starting point, and judging that the large feeder line has a flying line as a result if the large feeder line cannot be spliced completely;
repairing the multi-source data in a corresponding repairing mode according to the checking result to obtain checked data;
for example, for multi-source data with problems in the checking result, if the corresponding repair rule is clear, an automatic repair mode is adopted for repairing to obtain the checked data, and if the situation is complex and the corresponding repair rule is not clear, a manual repair mode is adopted for repairing to obtain the checked data through checking and investigating;
s3, carrying out model adaptation on the verified data, and determining a data model adapted to the verified data;
for example, as shown in fig. 3, model adaptation is performed on the verified data, the business data model and the graphic data model, and a data model adapted to the model is determined;
s4, converting the verified data into net rack model data according to the data model;
for example, as shown in fig. 3, the verified data is converted into the rack model data according to the data model adapted thereto;
s5, establishing a power distribution network rack model according to the network rack model data;
for example, a power distribution network frame model is established according to the network frame model data, and the legend is beautified;
in addition, as shown in fig. 4, the technical architecture and how to cooperate with each other are shown, including four layers, namely, a view layer, a control layer, a business logic layer and a data service layer;
name interpretation:
spring: refers to a lightweight open source framework in the field of Java EE programming;
a Controller: the MVC structure is a control layer in the MVC structure, and functions in a project are uniformly scheduled;
MVC: m is a service model, V is a user interface, C is a controller, and MVC is used for separating the implementation codes of M and V, so that the same program can use different expression forms;
WebService: the SOA (service oriented programming) architecture is independent of languages and platforms, can realize mutual calling among different languages, and performs interaction among network applications based on an Http protocol through the Internet;
RESTful: the method refers to a design style and a development mode of a network application program, and can use XML format definition or JSON format definition based on HTTP;
DAO types: the code is a code for performing operations such as adding, deleting, modifying, checking and the like on data in a database;
MyBatis: the method refers to a semi-ORM (object relational mapping) framework, JDBC is encapsulated in the framework, only SQL sentences need to be concerned during development, and the complicated processes of loading drive, creating connection, creating state and the like do not need to be processed with effort;
JDBC: refers to a Java database connection, API for connecting with database in Java language programming;
the view layer mainly provides a visual page for data acquisition, data verification, data adaptation and data conversion, so that the operation is convenient, the convenience and efficiency of work are improved, and the result after data conversion is verified;
the control layer is realized by a Spring Controller, the Spring separates page data processing, page flow control and page generation through a built-in MVC development mode, RESTful is used for WebService to realize service exposure, and the control layer carries out service processing by calling a service logic layer;
the business logic layer is composed of a series of services, mainly performs business processing, each Service is a group of closely related business functions, the business functions call data Service layer interfaces to complete persistence, the externally provided services of the system are packaged by the layer and then are issued into Webservice through RESTful, meanwhile, the business logic layer is also an entrance for calling infrastructure services, the rest layers are forbidden to use the interfaces provided by the infrastructure, and the business logic layer only concerns business logic, is designed to be thread safety, and most of the business logic layer is in a singleton mode;
the data service layer is mainly responsible for accessing data sources such as the relational database and the like, converting data into Java objects for calling programs of other layers, and solidifying Java object data of other layers into the database; all database access operations must be completed in the DAO class, including the assembly of query statements, parameter setting, and the parsing of query results, and the database access is performed in the present embodiment by using two modes, namely MyBatis and JDBC.
Example two
Referring to fig. 5 to 8, the present embodiment further defines how to establish the grid model of the power distribution network according to the grid model data based on the first embodiment:
specifically, a current net rack drawing request is received, and power grid equipment corresponding to the current net rack drawing request is drawn according to the converted geographic information system power grid graphic data to form a current net rack;
for example, as shown in fig. 5 to 6, a current grid rack drawing request is received, and the grid equipment corresponding to the request is drawn according to the converted GIS grid graphic data to form a current grid rack, where the current grid rack can display the existing grid equipment in a map, information data of the existing grid equipment, including information such as equipment name, voltage level, equipment subtype and operation, and basic information, operation data, three-phase imbalance, index problem and asset information;
receiving a power distribution network automatic display request, and visually displaying the standing book data and the operation data corresponding to the power grid equipment of the power distribution network automatic display request according to the converted equipment standing book data and the equipment operation data;
for example, as shown in fig. 7, a distribution network automation display request is received, and account data and operation data corresponding to TTU devices (distribution Transformer monitoring terminals) of the request are visually displayed according to converted device account data and device operation data, where the operation data includes voltages, harmonics, currents, powers, three-phase imbalances, and the like on two sides of a distribution Transformer;
receiving a planning net rack drawing request, and drawing power grid equipment corresponding to the planning net rack drawing request on the basis of the current net rack according to the converted GIS power grid graphic data to form a planning net rack, wherein the planning net rack comprises a cable corridor and equipment graphic information of a planning power grid;
for example, as shown in fig. 8, a planning grid frame drawing request is received, and a power grid device corresponding to the planning grid frame drawing request is drawn on the basis of the current grid frame according to the converted geographic information system power grid graphic data to form a planning grid frame.
EXAMPLE III
Referring to fig. 2, a data fusion terminal for power distribution network planning includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor executes the computer program to implement the steps in the first embodiment or the second embodiment.
In summary, according to the data fusion method and terminal for power distribution network planning provided by the invention, the multi-source data including the graphic data of the power grid of the geographic information system, the equipment account data and the equipment operation data is obtained by obtaining the data sent by different data platforms, so that the multi-source acquisition of the data is realized, and the unified management of the basic account information and the operation information of the power grid resources meeting the development planning work is realized; the multi-source data are checked and repaired to obtain the checked data, so that the multi-source data can be continuously updated and used, the data quality is guaranteed, and the data abnormality is reduced; the verified data and the established power distribution network data model are subjected to model adaptation, the data model adapted to the verified data is determined, and the collected multi-source data can be subjected to fusion application, so that the conditions that data standards are inconsistent among systems, the sharing degree is low, and barriers exist among data systems are avoided; then the checked data is converted into net rack model data according to the data model, and finally a power distribution network rack model is established according to the net rack model data, receiving a current net rack drawing request, a power distribution network automatic display request and a planning net rack drawing request according to a power distribution network rack model, calling corresponding data from net rack model data for display, realizing man-machine interaction, integrating geographic map data, a power distribution network rack, archive data, operation data and other information by combining a geographic information technology, visually displaying a power distribution network hierarchical structure, flexibly displaying equipment operation data and ledger data, realizing multi-platform data display on a unified platform, and the multidimensional display of the equipment attributes improves the convenience of checking the equipment attributes, further improves the scientificity and accuracy of a power distribution network planning scheme, and improves the lean degree of power distribution network planning work and the quality level of planning results.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.

Claims (10)

1. A data fusion method for power distribution network planning is characterized by comprising the following steps:
acquiring data sent by different data platforms to obtain multi-source data;
the multi-source data is verified to obtain verified data;
carrying out model adaptation on the verified data, and determining a data model adapted to the verified data;
converting the verified data into grid model data according to the data model;
and establishing a power distribution network frame model according to the network frame model data.
2. The data fusion method oriented to power distribution network planning of claim 1, wherein the obtaining of the data sent by the different data platforms comprises:
acquiring geographic information system power grid graphic data sent by a GIS platform, and solidifying the geographic information system power grid graphic data according to a preset time interval;
acquiring equipment ledger data sent by a power distribution network automation platform;
acquiring equipment operation statistical data sent by a data center station, and periodically performing incremental storage on the equipment operation statistical data according to the characteristics of the equipment operation statistical data;
and calling the data middling station in real time according to the data item to be inquired to acquire corresponding equipment operation data.
3. The data fusion method for power distribution network planning according to claim 1, wherein the verifying the multi-source data to obtain verified data comprises:
checking the consistency, integrity and relevance of the multi-source data according to a preset checking rule to obtain a checking result;
and repairing the multi-source data in a corresponding repairing mode according to the checking result to obtain the checked data.
4. The data fusion method oriented to power distribution network planning of claim 1, wherein model adaptation is performed on the verified data, and determining the data model adapted to the verified data comprises:
and establishing a data model adaptive to the planning service of the power distribution network according to the planning service requirement of the power distribution network, wherein the data model comprises a service data model and a graphic data model.
5. The data fusion method oriented to power distribution network planning according to any one of claims 1 to 4, wherein the multi-source data includes geographic information system power grid graphic data, equipment ledger data and equipment operation data;
the step of establishing the power distribution network rack model according to the network rack model data comprises the following steps:
receiving a current net rack drawing request, and drawing power grid equipment corresponding to the current net rack drawing request according to the converted geographic information system power grid graphic data to form a current net rack;
receiving a power distribution network automatic display request, and visually displaying the standing book data and the operation data corresponding to the power grid equipment of the power distribution network automatic display request according to the converted equipment standing book data and the equipment operation data;
and receiving a planning net rack drawing request, and drawing the power grid equipment corresponding to the planning net rack drawing request on the basis of the current net rack according to the converted geographic information system power grid graphic data to form a planning net rack.
6. A data fusion terminal for power distribution network planning comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, and is characterized in that the processor executes the computer program to realize the following steps:
acquiring data sent by different data platforms to obtain multi-source data;
the multi-source data is verified to obtain verified data;
carrying out model adaptation on the verified data, and determining a data model adapted to the verified data;
converting the verified data into grid model data according to the data model;
and establishing a power distribution network frame model according to the network frame model data.
7. The data fusion terminal oriented to power distribution network planning of claim 6, wherein the acquiring data sent by different data platforms comprises:
acquiring geographic information system power grid graphic data sent by a GIS platform, and solidifying the geographic information system power grid graphic data according to a preset time interval;
acquiring equipment ledger data sent by a power distribution network automation platform;
acquiring equipment operation statistical data sent by a data center station, and periodically performing incremental storage on the equipment operation statistical data according to the characteristics of the equipment operation statistical data;
and calling the data middling station in real time according to the data item to be inquired to acquire corresponding equipment operation data.
8. The data fusion terminal oriented to power distribution network planning of claim 6, wherein the verifying the multi-source data to obtain verified data comprises:
checking the consistency, integrity and relevance of the multi-source data according to a preset checking rule to obtain a checking result;
and repairing the multi-source data in a corresponding repairing mode according to the checking result to obtain the checked data.
9. The data fusion terminal oriented to power distribution network planning of claim 6, wherein model adaptation is performed on the verified data, and determining the data model adapted to the verified data comprises:
and establishing a data model adaptive to the planning service of the power distribution network according to the planning service requirement of the power distribution network, wherein the data model comprises a service data model and a graphic data model.
10. The data fusion terminal for power distribution network planning according to any one of claims 6 to 9, wherein the multi-source data includes geographic information system power grid graphic data, equipment ledger data and equipment operation data;
the step of establishing the power distribution network rack model according to the network rack model data comprises the following steps:
receiving a current net rack drawing request, and drawing power grid equipment corresponding to the current net rack drawing request according to the converted geographic information system power grid graphic data to form a current net rack;
receiving a power distribution network automatic display request, and visually displaying the standing book data and the operation data corresponding to the power grid equipment of the power distribution network automatic display request according to the converted equipment standing book data and the equipment operation data;
and receiving a planning net rack drawing request, and drawing the power grid equipment corresponding to the planning net rack drawing request on the basis of the current net rack according to the converted geographic information system power grid graphic data to form a planning net rack.
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