CN105160593A - Power transmission and transformation equipment multidimensional heterogeneous data fusion method and system facing big data - Google Patents
Power transmission and transformation equipment multidimensional heterogeneous data fusion method and system facing big data Download PDFInfo
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- 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
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Abstract
The present invention provides a power transmission and transformation equipment multidimensional heterogeneous data fusion method and system facing big data. The power transmission and transformation equipment multidimensional heterogeneous data fusion method facing the big data comprises the following steps of: S101, power fault and disaster monitoring multidimensional heterogeneous data access; S102, data pre-processing; S103, model and data structure mapping; S104, customization of a specialized data view; and S105, data fusion analysis. The power transmission and transformation equipment multidimensional heterogeneous data fusion method and system facing the big data follow the principles of design flexibility and expansion convenience, and adopt a mode of sharing a storage base, a data service and the like to implement uniform sharing and use of various information resources, for example, satellite remote sensing data, historical meteorological data and GIS data are shared in a file mode and production management data, state monitoring data and thunder and lightning positioning data are shared in a database mode; and data of an evaluation source is used as a starting point, and effective management and sufficient utilization on various types of thematic data are implemented by three stage levels of data integration, data mining and analysis application.
Description
Technical field
The present invention relates to cross-cutting, multi-specialized multidimensional heterogeneous service data fusion, all kinds of business datums both related in electric system are integrated, also relate to the information fusion of the specialties such as meteorology, remote sensing, geography.
Background technology
Because power transmission and transforming equipment Regional Distribution is extensive, service condition is complicated, repair and maintenance workload is large, be subject to natural environment influence and outside destroy, therefore meteorology is merged in the urgent need to setting up, remote sensing, geographical, electrical reticulation design, equipment control, the multi-specialized information such as to prevent and reduce natural disasters is in one, realize the management of power transmission and transforming equipment multidimensional information fusion, important channel is taken precautions against natural calamities early warning, important channel risk assessment, multidate information integrated supervision and loopful joint take precautions against the advanced analysis platform of harnessing projectization application, for power transmission and transforming equipment Life cycle closed loop management provides practical foundation, improve electrical network to prevent and reduce natural disasters ability, promote important passway for transmitting electricity security protection and management level, ensure power grid security reliability service, for electric power safety production decision provides reliable basis, for intelligent grid construction provides science and technology support.
At present, whole nation power industry not yet has inter-trade, the cross-cutting aggregation of data such as meteorology, satellite remote sensing, geography information to be applied to power transmission and transforming equipment and the early warning of system cloud gray model failure prediction, diaster prevention and control, and realize the secure communication of power information intranet and extranet, engineer applied case that Heterogeneous Information merges.Therefore, in the urgent need to setting up integrated information integerated operation system, advanced integration of equipments technology, Software Integration Technique and Data Integration is utilized to realize data consistency and data sharing, the isolated network system of numerous script is got through by integrated technology, for fully excavating each professional domain incidence relations such as operation of power networks maintenance and meteorology, remote sensing, geography, realize the overall assembly of multidimensional data information and multi-specialized information and displaying provides inter-trade, cross-cutting data basis, for grid equipment run, safeguard, overhaul, speedily carrying out rescue work provides technical support.
Summary of the invention
The object of the invention is the cross-cutting data in order to effectively access outside all kinds of electric system, particularly non-structured spatial data, realize the centralized management to thematic datas such as meteorology, mountain fire, filth, windage yaw, the business datum of horizontal integrating production management system, condition monitoring system, power grid GIS system, lightning location system, provides a kind of multidimensional Heterogeneous Information fusion method meeting multi-field, multi-disciplinary data integration needs simultaneously.
The present invention realizes fusion and the application of multidimensional isomeric data by the following technical solutions, comprises the following steps:
S101, power failure and disaster monitoring multidimensional isomeric data access: assessment source data mainly comprises two classes: the 1) equipment state such as production management system, condition monitoring system, power network GIS platform, lightning location system assessment Back ground Information; 2) the professional system information such as meteorology, mountain fire, filth, windage yaw.Primary sources come from Utilities Electric Co.'s information management system, integrated by data center of Utilities Electric Co. buffer data interface interchange; Secondary sources come from other industry infosystem, calling interface is provided by the mode of middleware (i.e. assembly), assembly realizes the integrated and exchange of all kinds of heterogeneous system information, each specialty analysis system is completed the input of normalized analysis result according to self-defined stipulations by input end, analysis result is pushed to central data warehouse by output terminal, leave respective expert data in concentrate, wait pending data prediction.
S102, data prediction: the data in different pieces of information source are changed according to unified coordinate system, change according to unified data layout again, next carry out geometry correction, then the quality of data is measured, comprise the tolerance of the correct degree tolerance of topology and data semantic integrality.Input data as data fusion use by the achievement after this step completes.
S103, model and data structure map: common model follows unified naming rule when setting up, avoid the naming conflict of same target in different application.Data center provides name mapping function, the name of application internal object model is associated with the name in common model.The mapping of common data structures mainly comprise global data structures to each data source inside data structure between mapping ruler, the concrete data structure that data access provided to unified data query structure, each data source query provided to its inside.
S104, customization expert data view: according to the different visual angles of each specialty to Data Integration, customize each expert data view, such as meteorological professional view, antifouling professional view, windage yaw specialty view, mountain fire specialty view, thus provide comprehensive, detailed professional related data integration function for each professional operation maintenance personnel.
S105, data fusion analysis: unified timing definition, semantical definition and lattice dimensions definition are carried out to different majors data set, by different majors background and the different data of implication are regularly that same time is conceptive, the same space yardstick, identical semantical definition data, make multidimensional isomeric data mutually superpose in same aspect and to calculate.Finally reach, the data making the different field different dimensions such as meteorology, filth, mountain fire all with the effect of grid equipment spatial data seamless matching.
A kind of power transmission and transforming equipment multidimensional isomeric data emerging system towards large data is characterized in that: comprise electric network data system and met data system, electric network data system and weather data system connectivity information integrated package, information integerated assembly will be transported in the logical volume transfer method and storage network system that is attached thereto after the information integerated of electric network data system and met data system, logical volume transfer method and storage network system connects upper overall analysis system, and overall analysis system is transported in the office automation system after information comprehensively being analyzed.
Described electric network data system comprises satellite remote sensing system, electrical network Disaster System, ground telemetering platform and infrared multispectral monitoring platform, and satellite remote sensing system, electrical network Disaster System, ground telemetering platform and infrared multispectral monitoring platform are by respective server link information integrated package.
Between described information integerated assembly and logical volume transfer method and storage network system, forward and reverse safety insulating device is also set.
Load equalizer is connected between logical volume transfer method and storage network system and overall analysis system.
Technique effect of the present invention: the present invention follows flexible design, expands principle easily, adopt the mode such as thesaurus, data, services of sharing, the unification realizing various information resource is shared and uses, as satellite remote sensing, meteorological history, GIS data adopt file mode to share, production management, status monitoring, lighting location data using data storehouse mode are shared, to assess source data for starting point, through data integration, data mining, analytical applications three phases level, realize effective management of all kinds of thematic data and make full use of.
Accompanying drawing explanation
Fig. 1 is method overall flow figure of the present invention;
Fig. 2 is the schematic diagram of step S101;
Fig. 3 is system architecture schematic diagram of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described:
The present invention proposes towards the power transmission and transforming equipment multidimensional isomeric data fusion method of large data and system,
The present invention realizes fusion and the application of multidimensional isomeric data by the following technical solutions, comprises the following steps:
S101, power failure and disaster monitoring multidimensional isomeric data access: assessment source data mainly comprises two classes: the 1) equipment state such as production management system, condition monitoring system, power network GIS platform, lightning location system assessment Back ground Information; 2) the professional system information such as meteorology, mountain fire, filth, windage yaw.Primary sources come from Utilities Electric Co.'s information management system, integrated by data center of Utilities Electric Co. buffer data interface interchange; Secondary sources come from other industry infosystem, calling interface is provided by the mode of middleware (i.e. assembly), assembly realizes the integrated and exchange of all kinds of heterogeneous system information, each specialty analysis system is completed the input of normalized analysis result according to self-defined stipulations by input end, analysis result is pushed to central data warehouse by output terminal, leave respective expert data in concentrate, wait pending data prediction.
S102, data prediction: the data in different pieces of information source are changed according to unified coordinate system, change according to unified data layout again, next carry out geometry correction, then the quality of data is measured, comprise the tolerance of the correct degree tolerance of topology and data semantic integrality.Input data as data fusion use by the achievement after this step completes.
S103, model and data structure map: common model follows unified naming rule when setting up, avoid the naming conflict of same target in different application.Data center provides name mapping function, the name of application internal object model is associated with the name in common model.The mapping of common data structures mainly comprise global data structures to each data source inside data structure between mapping ruler, the concrete data structure that data access provided to unified data query structure, each data source query provided to its inside.
S104, customization expert data view: according to the different visual angles of each specialty to Data Integration, customize each expert data view, such as meteorological professional view, antifouling professional view, windage yaw specialty view, mountain fire specialty view, thus provide comprehensive, detailed professional related data integration function for each professional operation maintenance personnel.
S105, data fusion analysis: unified timing definition, semantical definition and lattice dimensions definition are carried out to different majors data set, by different majors background and the different data of implication are regularly that same time is conceptive, the same space yardstick, identical semantical definition data, make multidimensional isomeric data mutually superpose in same aspect and to calculate.Finally reach, the data making the different field different dimensions such as meteorology, filth, mountain fire all with the effect of grid equipment spatial data seamless matching.
A kind of power transmission and transforming equipment multidimensional isomeric data emerging system towards large data is characterized in that: comprise electric network data system and met data system, electric network data system and weather data system connectivity information integrated package, information integerated assembly will be transported in the logical volume transfer method and storage network system that is attached thereto after the information integerated of electric network data system and met data system, logical volume transfer method and storage network system connects upper overall analysis system, and overall analysis system is transported in the office automation system after information comprehensively being analyzed.
Described electric network data system comprises satellite remote sensing system, electrical network Disaster System, ground telemetering platform and infrared multispectral monitoring platform, and satellite remote sensing system, electrical network Disaster System, ground telemetering platform and infrared multispectral monitoring platform are by respective server link information integrated package.
Between described information integerated assembly and logical volume transfer method and storage network system, forward and reverse safety insulating device is also set.
Load equalizer is connected between logical volume transfer method and storage network system and overall analysis system.
According to platform construction thinking and service design requirement, the data deployment mode that this programme adopts as shown in Figure 2, specifically describes as follows:
(1) senior Application Data Center
Senior Application Data Center is used for storing the pilot process data and final calculation result data that each subsystem calculates, and comprehensive assessment user possesses read and write access authority, and other professional users possess read-only access authority.Concrete data comprise meteorological disaster evaluation data, pollution degree prediction and assessment data, mountain fire risk assessment data, windage yaw analysis data and grid equipment state comprehensive assessment data.
(2) basic data center is shared
Share basic data central store and support that each professional system calculates the whole basic datas run, each professional user is assigned with read-only access authority.Concrete data comprise: 1) grid equipment account data; 2) grid equipment Condition Monitoring Data; 3) lighting location data; 4) knowledge base management data; 5) with power network GIS platform power network resources topological data, satellite remote-sensing image data, meteorological element data and fundamental geological graph data that document form of cutting into slices stores; 6) the meteorology actual measurement, historical data etc. that provide of observatory.
The present invention follows following data technique specification: fundamental geological spatial data, basic electrical network spatial data, each professional topic space data all adopt " 2000 national earth coordinates " as unified spatial reference frames.Fundamental geological spatial data, filth, mountain fire assessment data adopt grid format to store, and basic electrical network spatial data, meteorological element data acquisition vector format store.Concrete name, coding rule are as follows:
(1) spatial database name
Fundamental Geographic Spatial Database---FGIDB (FundamentalGeoInfoDatabase)
Power network resources spatial database---PSRDB (PowerSystemResourceDatabase)
Specific analysis spatial database---TASDB (ThematicAnalysisSpatialDatabase)
(2) space data sets code regulation
Table 1 data class code
| Data class | Geo-spatial data | Power network resources data | Specific analysis data |
| Code | F | P | T |
Table 2 geo-spatial data form of expression code
| Data class | Digital line draws map | Digital raster map | Orthophotomap | Digital elevation model |
| Code | DLG | DRG | DOM | DEM |
Table 3 power network resources data representation code
| Data class | Transmission of electricity | Power transformation | Distribution | |
| Code | TRA | SUB | DIS |
Table 4 engineer's scale code
| Engineer's scale | 1:500 | 1:1000 | 1:2000 | 1:5000 | 1:10000 |
| Code | K | J | I | H | G |
| Engineer's scale | 1:25000 | 1:50000 | 1:100000 | 1:250000 | |
| Code | F | E | D | C |
Table 5 image resolution/digital elevation Grid size code
| Engineer's scale | 30m | 2.5m | 0.61m | ||
| Code | 30 | 25 | 61 |
Table 6 power network resources Sort Code
| Geometric type | Wire | Ground wire | Run shaft tower | Physics shaft tower | Special area |
| Code | COND | GRWI | VIPO | POLE | SPEC |
Table 7 geometric type code
| Geometric type | Point | Line | Center line | Face | Annotation |
| Code | P | L | CL | S | A |
(3) space data sets naming rule
1) fundamental geological space data sets
As: F_DLG_K, namely represents the 1:500 vector data collection in fundamental geological spatial data
2) power network resources space data sets
(4) spatial data layer naming rule
1) fundamental geological space vector data layer
2) fundamental geological space remote sensing image/digital elevation layer
remote sensing image layer
3) power network resources spatial data layer
standby
(5) each specialized factory raster data tissue and file designation rule
The lattice types business datum of all producers carries out store and management with the form of grid catalogue, each producer all adopts FTP to reach Platform center database server in form and files, on be by reference: ftp: //IP:port/XXXXX/ThematicData/, grid form of catalogue code is in table 8 and table 9:
Table 8 specific analysis data specialty code
| Specialty kind | Meteorological | Mountain fire | Filthy |
| Code | W | F | P |
Table 9 specific analysis data specialty branch code
Claims (6)
1., towards a power transmission and transforming equipment multidimensional isomeric data fusion method for large data, it is characterized in that, comprise the following steps:
S101, power failure and disaster monitoring multidimensional isomeric data access: assessment source data mainly comprises two classes: 1) equipment state assessment Back ground Information; 2) professional system information, primary sources come from Utilities Electric Co.'s information management system, integrated by data center of Utilities Electric Co. buffer data interface interchange; Secondary sources come from other industry infosystem, calling interface is provided by the mode of assembly, assembly realizes the integrated and exchange of all kinds of heterogeneous system information, each specialty analysis system is completed the input of normalized analysis result according to self-defined stipulations by input end, analysis result is pushed to central data warehouse by output terminal, leave respective expert data in concentrate, wait pending data prediction;
S102, data prediction: the data in different pieces of information source are changed according to unified coordinate system, change according to unified data layout again, next geometry correction is carried out, then the quality of data is measured, comprise the tolerance of the correct degree tolerance of topology and data semantic integrality, the input data as data fusion use by the achievement after this step completes;
S103, model and data structure map: common model follows unified naming rule when setting up, avoid the naming conflict of same target in different application, data center provides name mapping function, the name of application internal object model is associated with the name in common model, the mapping of common data structures mainly comprise global data structures to each data source inside data structure between mapping ruler, the concrete data structure that data access provided to unified data query structure, each data source query provided to its inside;
S104, customization expert data view: according to the different visual angles of each specialty to Data Integration, customize each expert data view, such as meteorological professional view, antifouling professional view, windage yaw specialty view, mountain fire specialty view, thus provide comprehensive, detailed professional related data integration function for each professional operation maintenance personnel;
S105, data fusion analysis: unified timing definition, semantical definition and lattice dimensions definition are carried out to different majors data set, by different majors background and the different data of implication are regularly that same time is conceptive, the same space yardstick, identical semantical definition data, multidimensional isomeric data is made mutually to superpose in same aspect and to calculate, finally reach, the data making the different field different dimensions such as meteorology, filth, mountain fire all with the effect of grid equipment spatial data seamless matching.
2. a kind of power transmission and transforming equipment multidimensional isomeric data fusion method towards large data according to claim 1 and system, it is characterized in that: the equipment state assessment Back ground Information in described step S101 comprises production management system, condition monitoring system, power network GIS platform, lightning location system information, and professional system information comprises meteorology, mountain fire, filth, windage yaw information.
3. the power transmission and transforming equipment multidimensional isomeric data emerging system towards large data, it is characterized in that: comprise electric network data system (1) and met data system (2), electric network data system (1) and met data system (2) link information integrated package (3), information integerated assembly (3) will be transported in the logical volume transfer method and storage network system (4) that is attached thereto after the information integerated of electric network data system (1) and met data system (2), overall analysis system (5) in logical volume transfer method and storage network system (4) connection, overall analysis system (5) is transported in the office automation system (6) after information comprehensively being analyzed.
4. a kind of power transmission and transforming equipment multidimensional isomeric data emerging system towards large data according to claim 3 is characterized in that, it is characterized in that: described electric network data system (1) comprises satellite remote sensing system, electrical network Disaster System, ground telemetering platform and infrared multispectral monitoring platform, satellite remote sensing system, electrical network Disaster System, ground telemetering platform and infrared multispectral monitoring platform are by respective server link information integrated package (3).
5. a kind of power transmission and transforming equipment multidimensional isomeric data emerging system towards large data according to claim 3 is characterized in that, it is characterized in that: between described information integerated assembly (3) and logical volume transfer method and storage network system (4), also arrange forward and reverse safety insulating device.
6. a kind of power transmission and transforming equipment multidimensional isomeric data emerging system towards large data according to claim 3 is characterized in that, it is characterized in that: between logical volume transfer method and storage network system (4) and overall analysis system (5), connect load equalizer.
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