CN106779407A - A kind of electric power data fusion method based on data pool - Google Patents
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Abstract
The invention discloses a kind of electric power data fusion method based on data pool, this method passes through data import modul, data acquisition module, data exchange module, data preprocessing module, data fusion module, data memory module and data service module are completed, wherein data import modul, data acquisition module and data exchange module collection and acquisition data, data preprocessing module goes verification to data, analysis, cleaning, data fusion module is analyzed to the data after pretreatment module treatment, data are carried out with the time associates with control, data memory module provides the retrieval of data for other modules, read, the operation of deletion, data service module is using offer normalization standard interface.Present invention collection multi-dimensional data, realizes that the fusion of data is shared, and breaks information island, shields the isomerism of data source, there is provided normalized interfaces, shortens the system Construction time, reduces maintenance cost, is to be laid the foundation across the data mining of operation system, diagnosis.
Description
Technical field
The present invention relates to a kind of electric power data fusion method, particularly a kind of electric power data fusion side based on data pool
Method.
Background technology
Existing power informatization application system use vertical construction mode, each application system directly from data source collection,
Processing data, causes data to there is repeated acquisition, the phenomenon of redundant storage, while data cannot real-time synchronization between each application system
Update.System acquisition to data need to be processed in respective system, merge, same device data is in different business systems
Inside there are different definition, cause the shared difficulty of inter-system data, form information island;With the expansion of the construction scope of system,
The variation of data source is more and more wider to the scope of systematic influence, result in the surge of operation maintenance work.Data center is integrating
During each operation system data, there is mass of redundancy data, wrong data, increase the Data Integration difficulty of data center, lack
Effective data fusion method, is to bring obstruction across the data mining of operation system, diagnosis.
The content of the invention
Present invention aim at a kind of electric power data fusion method based on data pool is provided, solve power system and there is number
According to repeated acquisition, decentralized processing, the data silo problem of redundant storage.
A kind of electric power data fusion method based on data pool is concretely comprised the following steps:
The first step builds the electric power data emerging system based on data pool
Electric power data emerging system based on data pool, including:Data import modul, data acquisition module, data exchange module,
Data preprocessing module, data fusion module, data memory module and data service module.
The function of data import modul is:For the geospatial information data in data source, static equipment data, model are opened up
Flutter data, the logical control data that can customize and data source relational model and provide and import and editting function.
The function of data acquisition module is:Gather electrical data, non-electric quantity data and the audio frequency and video number of power equipment
According to.
The function of data exchange module is:With the operation system interactive interfacing in data source, the number in operation system is extracted
According to.
The function of data preprocessing module is:Data are carried out initially by the data that analysis and understanding are obtained from data source
Change analysis, checking, cleaning, conversion, deduplication operation.
The function of data fusion module is:Data are extracted, are merged, combing, forecast analysis operation, define data knot
Structure, combines initial data, builds data model, and generation judges analyze data in advance.
The function of data memory module is:Structured data and unstructured data, there is provided the retrieval of data, reading
Take, write, deletion action.
The function of data service module is:Normalized interactive interfacing mode is provided, is using offer data, services.
Second step data import modul, data acquisition module, data exchange module obtain multidimensional data in data source
By data import modul, by the geospatial information data in data source, static equipment data, model topology data
File, form, packet, are imported with initialized static importing, timing full dose and timed increase imports three kinds of modes and imports data,
Data after importing transfer to data preprocessing module to analyze, treatment.Wherein static equipment data includes station institute, circuit, vehicle, people
Member, the account data in warehouse;Model topology data include major network model, distribution network model.Configured by visualized graph interface and given birth to
Into customized logic control model data and data source relational model data.
Data acquisition module is by one or more connections in RJ45, RS232, RS485, CAN interface mode
Electrical equipment, sensor, camera obtain electrical quantities measurement, non electrical quantities measurement, audio, video data, and the data of collection transfer to number
Data preprocess module analysis, treatment.Wherein electrical quantities measurement refers to the runtime data of electrical equipment, such as equipment voltage, electric current,
Active power, reactive power etc., non electrical quantities measurement refer to the runtime data of non-electrical equipment, such as temperature, humidity, wind direction,
Vehicle location.Power utility standard agreement and industrial equipment puppy parc are supported in the collection of electrical quantities measurement and Non-Electricity Measurement,
Such as IEC60870-5-101, IEC60870-5-103, IEC60870-5-104, Modbus TCP, Modbus RTU;Audio frequency and video number
According to collection support ONVIF international standard protocols and state's net video monitoring system and interface(Q/GDW 1517.1-2014).Data
Acquisition module is run using Protocol Plug mode, can dynamic supported protocol extension and customization.
Data exchange module is by the business in FTP, Web Service interface, system bus three kinds of modes and data source
System interaction, extracts data in operation system, and data transfer to data preprocessing module to analyze, process in the operation system of extraction.
Wherein operation system include but is not limited to Management System of Power Line, intelligent substation accessory system, ERP, vehicle management system,
Production management system, distribution repairing system.
3rd step data pretreatment module is decomposed, initialization data
After data import modul, data acquisition module, data exchange module get data, data preprocessing module logarithm
According to being verified, analyzed, cleaned, changed, deduplication operation, reject data that are invalid, repeating, and by the multidimensional of smallest particles degree
Degrees of data passes to data fusion module.
4th step data Fusion Module merges multidimensional data
The static equipment data and model topology data that data fusion module is provided for data preprocessing module carry out feature and carry
Take, analyze, according to data source relational model data and model topology data, set up space correlation, time shaft association, event pass
Connection, and the data fusion after association process into an anticipation analyze data, this anticipation analyze data can be closed with data source
It is the change of model data and model topology data and changes.After data fusion, call data memory module by initial data and
Anticipation analyze data is stored in data pool.
5th step data memory module stores fused data
Data memory module provides structural data storage and unstructured data storage, and the inspection of data is provided for other modules
Rope, reading, write-in, deletion action.After multidimensional data fusion, data memory module data storage, wherein structural data are called
Using relational data library storage, unstructured data is stored using user-defined file system.It is integrated interior in data memory module
Deposit data storehouse, fast cache system is set up using memory database, for the retrieval of data, reading, write-in, deletion action are provided soon
Speed response.
6th step data service module provides uniform data service
Data service module provides normalized data call interface, is upper layer application systems with data service.In
All of data are all provided by data pool, three classes of the data that data pool is provided point
1st, the initial data that slave unit or operation system are collected, such as instantaneous voltage of transformer, current value.
2nd, data import data pool when, according to data import modul import topological model data, data source relation mould
The data of type data analysis, prediction and aid decision.
3rd, the data that operation system is closely related after processing 1 and 2 class data in itself with business.
This method provides various dimensions, real-time data perception for upper layer application system, there is provided granularity, the number of the agreement of tense
According to, realize data fusion share;Solve the problems, such as that the access of multiservice system Data duplication, data definition are chaotic;Solve isomery
Network, multisystem cause the difficult problem of data exchange;Realize that multi-data fusion is processed, hiding information is excavated in time, reject nothing
Effect data, improve storage efficiency;Index storage is set up, data search efficiency is improved;Data, services are provided, shielding bottom data
Heterogeneous, shorten the application and development time, reduce maintenance cost;Be across operation system data mining, diagnosis lay the foundation, improve
The intelligent decision making level of power network.
Brief description of the drawings
Electric power data emerging system structural representation in a kind of electric power data fusion methods based on data pool of Fig. 1.
Intelligent command system Construction Party in a kind of electric power data fusion method specific embodiments based on data pool of Fig. 2
Case schematic diagram.
1. the data preprocessing module 5. of 2. data acquisition module of data import modul, 3. data exchange module 4.
The data storage server of 8. interface server of data fusion module 6. data memory module, 7. data service module 9.
10. data access servers.
Specific embodiment
A kind of electric power data fusion method based on data pool is concretely comprised the following steps:
The first step builds the electric power data emerging system based on data pool
A kind of electric power data fusion method based on data pool is in the scheme that intelligent command system is built by three server groups
Into, including interface server 8, data storage server 9 and data access servers 10.The big module of data pool 7 is separately operable
On three servers, data import modul 1, data acquisition module 2, data exchange module 3, data preprocessing module 4, data are melted
Matched moulds block 5 runs on interface server 8, and data memory module 6 runs on data storage server 9, data service module 7
Operate in and run on data access servers 10.
The function of data import modul 1 is:It is geospatial information data, static equipment data, model in data source
Topological data, the logical control data that can customize and data source relational model are provided and imported and editting function.
The function of data acquisition module 2 is:Gather electrical data, non-electric quantity data and the audio frequency and video number of power equipment
According to.
The function of data exchange module 3 is:With the operation system interactive interfacing in data source, the number in operation system is extracted
According to.
The function of data preprocessing module 4 is:Data are carried out initially by the data that analysis and understanding are obtained from data source
Change analysis, checking, cleaning, conversion, deduplication operation.
The function of data fusion module 5 is:Data are extracted, are merged, combing, forecast analysis operation, define data
Structure, combines initial data, builds data model, and generation judges analyze data in advance.
The function of data memory module 6 is:Structured data and unstructured data, there is provided the retrieval of data, reading
Take, write, deletion action.
Second step interface server 8 is imported, gathered, multidimensional data in exchange data source
The full dose of data import modul 1 of interface server 8 imports geospatial information data, static equipment data, model topology
Data, newly-increased geospatial information data, static equipment data, model topology data are imported by way of timed increase,
Wherein geospatial information data include map datum, equipment, transmission line of electricity, cable tunnel geographic position data;Static device
Data include the basis such as equipment, circuit, stand institute, user, vehicle, personnel, warehouse account description information;Model topology data include
Major network model, distribution network model.Data import modul 1 supports visualization interface newly-built and editor's custom logic Controlling model data
With data source relational model data.
The data acquisition module 2 of interface server 8 is by RJ45, RS232, RS485, CAN interface mode
Kind or multiple interfaces are gathered in transformer station, electrical equipment on transmission line of electricity(Transformer, switch)And auxiliary equipment(Windage yaw is passed
Sensor, shaft tower inclination sensor)Service data;Collector and the real-time position information of vehicle;Collection transformer station, power transmission line
Road, the audio, video data of cable tunnel supervisory control of robot camera.
The data exchange module 3 of interface server 8 is existed by FTP interfaces from transmission line online monitoring system, transformer station
Line monitoring system obtains remote measurement, remote signalling, the fault data of electrical equipment;One is aided in from power transformation by Web Service interfaces
Change system obtains non electrical quantities measurement (temperature, humidity, oil chromatography);95598 fault tickets are obtained by Web Service in real time
Data, weather forecast and real-time weather data are obtained from weather bureau.
3rd step data pretreatment module 4 is decomposed, initialization data
The data preprocessing module 4 pairs of interface server 8 passes through data import modul 1, data acquisition module 2, data exchange mould
The data that block 3 gets are analyzed, verify, duplicate removal, reject invalid, repeated data.It is minimum according to topological model data genaration
Granularity, recognizable data transfer are to Fusion Module.
4th step data Fusion Module 5 merges multidimensional data
The static equipment data and model topology data that data fusion module 5 is provided for data preprocessing module 4 carry out feature
Extract, analyze, according to data source relational model data and model topology data, set up space correlation, time shaft association, event pass
Connection, and the data fusion after association process into an anticipation analyze data, such as after the data that door is opened are received, while
The facial recognition data of correspondence camera is compared according to data source relational model, there is no such as this personnel to believe in static equipment data
Breath, then can generate an alert data for breaking in and associate camera video recording.If having custom logic Controlling model simultaneously,
Corresponding system is controlled according to custom logic Controlling model then.Such as when transformer station's temperature is more than 30 °, air-conditioning is opened
Refrigeration, air-conditioning is closed if less than 20 °, reaches the suitable running environment of electrical equipment.
5th step data storage server 9 stores fused data
The structured data of data storage server 9 and unstructured data, are that interface server 8 is imported, gathers and obtained
The data for arriving, and data retrieval, write-in and read operation are provided by Fusion Module fusion post analysis data, it is data, services
Server 10 provides data.Memory database in data memory module 6 improves data retrieval, reads response efficiency.
6th step data service server 10 provides data, services
It is that intelligence commander protects electric system real-time monitoring, assistant analysis, emergent finger that data access servers 10 provide normalized interfaces
The business such as wave and data are provided.Support real time inspection grid equipment running status, protect electric personnel positions, vehicle location, enquiring vehicle,
Having a power failure occur in personnel's historical track, when there is abnormality alarming, there is provided the data query service of alarm association, such as certain user of distribution
When, data service module 7 can be according to the electrical model for importing("-line-change-case-family of standing), can quickly analyze this use
The power supply at family is powered relation, assists the quick fault point of operation maintenance personnel, and can analyze its model that can be influenceed according to trouble point
Enclose, improve the efficiency of operation maintenance personnel malfunction elimination.
Claims (6)
1. a kind of electric power data fusion method based on data pool, it is characterised in that concretely comprise the following steps:
The first step builds the electric power data emerging system based on data pool
Electric power data emerging system based on data pool, including:Data import modul(1), data acquisition module(2), data hand over
Mold changing block(3), data preprocessing module(4), data fusion module(5), data memory module(6)And data service module(7);
Data import modul(1)Function be:For the geospatial information data in data source, static equipment data, model are opened up
Flutter data, the logical control data that can customize and data source relational model and provide and import and editting function;
Data acquisition module(2)Function be:Gather electrical data, non-electric quantity data and the audio frequency and video number of power equipment
According to;
Data exchange module(3)Function be:With the operation system interactive interfacing in data source, the number in operation system is extracted
According to;
Data preprocessing module(4)Function be:Data are initialized by the data that analysis and understanding are obtained from data source
Analysis, checking, cleaning, conversion, deduplication operation;
Data fusion module(5)Function be:Data are extracted, are merged, combing, forecast analysis operation, define data knot
Structure, combines initial data, builds data model, and generation judges analyze data in advance;
Data memory module(6)Function be:Structured data and unstructured data, there is provided the retrieval of data, reading,
Write-in, deletion action;
Data service module(7)Function be:Normalized interactive interfacing mode is provided, is using offer data, services;
Second step data import modul(1), data acquisition module(2)And data exchange module(3)Obtain many dimensions in data source
According to
By data import modul(1), by the geospatial information data in data source, static equipment data, model topology number
According to file, form, packet, with initialized static import, timing full dose import and timed increase import three kinds of modes import
Data, the data after importing transfer to data preprocessing module(4)Analysis, treatment;Wherein static equipment data includes station institute, line
Road, vehicle, personnel, the account data in warehouse;Model topology data include major network model, distribution network model;By visualized graphs
Interface configurations generate customized logic control model data and data source relational model data;
Data acquisition module(2)By one or more connections in RJ45, RS232, RS485, CAN interface mode
Electrical equipment, sensor, camera obtain electrical quantities measurement, non electrical quantities measurement, audio, video data, and the data of collection transfer to number
Data preprocess module(4)Analysis, treatment;Wherein electrical quantities measurement refers to the runtime data of electrical equipment, non electrical quantities measurement
Refer to the runtime data of non-electrical equipment, such as temperature, humidity, wind direction, vehicle location;Electrical quantities measurement and Non-Electricity Measurement
Power utility standard agreement and industrial equipment puppy parc are supported in collection;ONVIF international standards are supported in the collection of audio, video data
Agreement and state's net video monitoring system and interface Q/GDW 1517.1-2014;Data acquisition module(2)Using Protocol Plug mode
Operation;
Data exchange module(3)By the business in FTP, Web Service interface and system bus three kinds of modes and data source
System interaction, extracts data in operation system, and data transfer to data preprocessing module in the operation system of extraction(4)Analysis, place
Reason;
3rd step data pretreatment module(4)Decomposition, initialization data
By data import modul(1), data acquisition module(2)And data exchange module(3)After getting data, data are located in advance
Reason module(4)Above-mentioned data verified, analyzed, being cleaned, being changed, deduplication operation, reject it is invalid, repeat data, and
The multi-dimensional data of smallest particles degree is passed into data fusion module(5);
4th step data Fusion Module(5)Fusion multidimensional data
Data fusion module(5)For data preprocessing module(4)The static equipment data and model topology data of offer are carried out
Feature extraction, analysis, according to data source relational model data and model topology data, set up space correlation, time shaft association, thing
Part is associated, and the data fusion after association process into an anticipation analyze data;After data fusion, data memory module is called
(6)Initial data and anticipation analyze data are stored in data pool;
5th step data memory module(6)Storage fused data
Data memory module(6)Structural data storage and unstructured data storage are provided, for other modules provide data
Retrieval, reading, write-in, deletion action;After multidimensional data fusion, data memory module is called(6)Data storage, wherein structuring
Data use relational data library storage, and unstructured data is stored using user-defined file system;Data memory module(6)It is interior
Integrated memory database, fast cache system is set up using memory database, is retrieval, reading, write-in, the deletion action of data
Quick response is provided;
6th step data service module(7)Uniform data service is provided
Data service module(7)Normalized data call interface is provided, is upper layer application systems with data service;In
All of data all provided by data pool, data point three classes that data pool is provided:
The first kind is the initial data that slave unit or operation system are collected, the instantaneous voltage of transformer, current value;
Equations of The Second Kind is data when data pool is imported, according to data import modul(1)The topological model data of importing, data source are closed
It is the data of model data prediction and aid decision;
3rd class is the data being closely related with business after operation system is processed 1 and 2 class data in itself.
2. electric power data fusion method according to claim 1, it is characterised in that in second step during the operation of electrical equipment
Data, including:Equipment voltage, electric current, active power, reactive power.
3. electric power data fusion method according to claim 1 and 2, it is characterised in that power utility standard in second step
Agreement and industrial equipment puppy parc, including:IEC60870-5-101、IEC60870-5-103、IEC60870-5-104、
Modbus TCP and Modbus RTU.
4. electric power data fusion method according to claim 3, it is characterised in that data acquisition module in second step(2)
The dynamic supported protocol extension of Protocol Plug mode and customization of use.
5. the electric power data fusion method according to claim 1 or 2 or 4, it is characterised in that operation system bag in second step
Include Management System of Power Line, intelligent substation accessory system, ERP, vehicle management system, production management system, distribution repairing
System.
6. electric power data fusion method according to claim 5, it is characterised in that in the 4th step anticipation analyze data with
The change of data source relational model data and model topology data and change.
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