CN109977188A - A kind of multi-specialized data correlation fusion method of gradual power grid and device - Google Patents
A kind of multi-specialized data correlation fusion method of gradual power grid and device Download PDFInfo
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Abstract
The invention discloses a kind of multi-specialized data correlation fusion method of gradual power grid and devices, this method comprises: full-service data center data are carried out data access according to structural data, unstructured data and blended data respectively；The data of access are subjected to data unification according to the integrated power system device model pre-established, the integrated power system device model includes general character model and characteristic model；Data after reunification are gradually pressed into voltage class, equipment room connection relationship and equipment inclusion relation carry out gradual being associated with fusion；Association fusion situation is verified, not matched data is screened and is matched again, the data for obtaining whole association fusions of the multi-specialized data of power grid are stored to grid equipment integrated database.
Description
Technical field
The disclosure belongs to the technical field of smart grid, is related to a kind of multi-specialized data correlation fusion method of gradual power grid
And device.
Background technique
Only there is provided background technical informations relevant to the disclosure for the statement of this part, it is not necessary to so constitute first skill
Art.
In recent years, around the requirement of State Grid Corporation of China " three collection five big " System Construction, corporate HQ and each net provincial company by
Step reinforces Information System configuration, the integrated information platform for establishing and penetrating through each level, integrate each business, information shared resources, real
Totally digitilized aid decision is showed, the intelligentize and informatization for improving each professions such as power grid production, operation, marketing is horizontal；Shape
At intensive unification, efficiently the operating mode cooperateed with constructs the management system of " more intensive, more flat, more professional ".
During each specialized information system supporting business works and carries out, the electrical network basic data of magnanimity is produced, and
Various types of data has emphasis.Such as: the production management system (PMS) of O&M maintenance profession lays particular emphasis on all kinds of grid equipments
Whole-life cycle fee includes each voltage class power grid account data；The Energy Management System (EMS) for regulating and controlling profession, lays particular emphasis on
The operating condition management of all kinds of grid equipments, the real-time, history run comprising all kinds of measuring point account information and magnanimity grid equipment
Data；The sales service system and power information acquisition system of Marketing Major, lay particular emphasis on user side business support, include all kinds of
Area, user data.Power network GIS platform system lays particular emphasis on the management of spatial position, connection relationship to grid equipment, comprising all kinds of
Device space data, thematic diagram data.
With big data, cloud computing technology is increasingly mature and electric network information system application deepens continuously, and provincial company is each
Business scope is based on big data technology and has carried out a large amount of fruitful exploration sex works, achieves phasic results.Lean
Management and innovation and development penetrate through business cooperation, process, propose requirements at the higher level, with data management enterprise, drive industry with information
The demand of business is increasingly urgent to.To make full use of existing research achievement, it is pushed further into company's big data application innovation, according to state's net
Company requires, and carries out the construction of provincial company full-service uniform data center, and hair is formulated in positive implementation big data personalization innovation
Cloth is shared and Innovation evaluation scheme.Full-service uniform data center be company's available data center it is further development and it is perfect,
It mainly include data processing domain, data analysis domain and data management domain three parts.
The quality of Electric Power Network Planning professional work depends on fully realizing, to the following power network development level to status power grid
It precisely holds, never formulates scientific and reasonable programme.And it is pre- to the diagnostic analysis of status power grid and the load of the following power grid
Survey the support for be unableing to do without each professional mass data.The construction of full-service uniform data center provides for Electric Power Network Planning professional work
Strong data supporting.
But inventor has found in R&D process, because each expert data emphasis is different now, lacking between data has
The association of effect is merged, and data silo is formd, such as production management system (PMS), Energy Management System (EMS), power grid GIS are put down
There are a same substation or a transmission line of electricity in platform, but data encoding is different in each system, not can be carried out effectively
Association lacks the effective calculating factor, can not provide secure support when carrying out the diagnostic analysis of Electric Power Network Planning profession.And lead to
Crossing manual type progress data correlation fusion heavy workload, low efficiency, association quality can not ensure, while close to the data of increment
Join correspondence can not normalization carry out, therefore a kind of multi-specialized data correlation fusion method of power grid need to be designed by information-based means,
It realizes the perforation of each expert data, provides data supporting for power grid diagnostic analysis and load prediction calculating.
Summary of the invention
For the deficiencies in the prior art, one or more other embodiments of the present disclosure provide a kind of gradual power grid
Multi-specialized data correlation fusion method and device, by forming system to expert data model analysis each in full-service data center
One data model establishes incidence relation between data, and being formed includes 500kV-10kV grid equipment account information, operation information, sky
Between information integrated database.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of multi-specialized data pass of gradual power grid is provided
Join fusion method.
A kind of multi-specialized data correlation fusion method of gradual power grid, this method comprises:
Full-service data center data are subjected to data according to structural data, unstructured data and blended data respectively
Access；
The data of access are subjected to data unification according to the integrated power system device model pre-established, the integrated power system is set
Standby model includes general character model and characteristic model；
Data after reunification are gradually pressed into voltage class, equipment room connection relationship and equipment inclusion relation and carry out gradual pass
Connection fusion；
Association fusion situation is verified, not matched data is screened and is matched again, obtain the multi-specialized data of power grid
The data of whole association fusions store to grid equipment integrated database.
Further, in the method, full-service data center data include PMS system equipment account data,
The device space data of power network GIS platform, the measuring point account data of EMS system and 35kV and the above equipment operating data, power supply
Service the medium/low-voltage equipment operation data of maneuvering platform and the marketing data of power information acquisition system；
The equipment account data of the PMS system and the measuring point account data of EMS system are the structural data；
The medium/low-voltage equipment operation of the 35kV of the EMS system and the above equipment operating data, electric service maneuvering platform
The marketing data of data and power information acquisition system is the unstructured data；
The device space data of the power network GIS platform are blended data.
Further, in the method, the structural data uses ETL+Windows task scheduling mode implementation relation
The access of data, specific steps include:
The required structural data is extracted from data source；By data cleansing, conversion, according to what is pre-defined
Data warehouse model loads data into data warehouse.
Further, in the method, the access way of the unstructured data are as follows: provided using Hbase database
JavaAPI mode carry out data pick-up, while data pick-up task timer-triggered scheduler is realized using schedule job frame Quartz.
Further, in the method, the access way of the blended data are as follows: use webservice client request
Mode is realized spatial information access and is showed in real time.
Further, in the method, the integrated power system device model uses data according to each source system data model
Topological analysis algorithm is established.
Further, in the method, the general character model includes infrastructure device attribute model, the infrastructure device attribute
Infrastructure device in model include: substation, interval, main transformer, electric line, switchgear house, it is box become, become on column, distribution becomes
Depressor, Switch equipment；Shared attribute in the infrastructure device attribute model includes: affiliated source system, source device coding, sets
Standby type, device name, voltage class, affiliated area, higher level's power supply point, junior's power supply unit, affiliated parent type, affiliated father set
It is standby；
The characteristic model is the particular attribute of each source system, including account information, real-time running data, space coordinate number
Accordingly and the incidence relation of characteristic and general character.
Further, in the method, the specific steps for being associated fusion by voltage class include:
500kV substation, main transformer, transmission line equipment pass are carried out according to voltage class, equipment affiliated area, device name
Connection corresponds to；
Successively carry out 220kV, 110kV, 35kV substation, main transformer, transmission line equipment association correspondence；
For the equipment of low-voltage-grade, the substation that bears the same name in same voltage class, the same area, route are in the step
In not machine be associated.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of computer readable storage medium is provided.
A kind of computer readable storage medium, wherein being stored with a plurality of instruction, described instruction is suitable for by terminal device
Reason device loads and executes a kind of gradual multi-specialized data correlation fusion method of power grid.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of terminal device is provided.
A kind of terminal device comprising processor and computer readable storage medium, processor is for realizing each instruction；Meter
For calculation machine readable storage medium storing program for executing for storing a plurality of instruction, it is progressive that described instruction is suitable for being loaded by processor and being executed described one kind
The multi-specialized data correlation fusion method of formula power grid.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of multi-specialized data pass of gradual power grid is provided
Join fusing device.
A kind of multi-specialized data correlation fusing device of gradual power grid, based on a kind of gradual multi-specialized number of power grid
According to association fusion method, comprising:
Data access module is configured as full-service data center data according to structural data, unstructured data
Data access is carried out respectively with blended data；
The data of access are carried out data unification according to the integrated power system device model pre-established by unified model module,
The integrated power system device model includes general character model and characteristic model；
Gradual data correlation Fusion Module, by data after reunification gradually press voltage class, equipment room connection relationship and
Equipment inclusion relation carries out gradual association fusion；Association fusion situation is verified, the not matched data of screening carry out again
Matching, the data for obtaining whole association fusions of the multi-specialized data of power grid are stored to grid equipment integrated database.
The disclosure the utility model has the advantages that
A kind of multi-specialized data correlation fusion method of gradual power grid and device that the disclosure provides, by using ETL,
How special the multiple technologies means such as webservice, data topology parser, big data distributed storage and parallel computation realized
Auto-associating fusion, data integration and the data management of grid equipment data, form system, accurate, efficient, succinct electricity between industry
Network planning draw control data corporation, cover data access, data cleansing, data integration, data storage, data production, INDEX MANAGEMENT,
The processes such as data mart modeling and information service, pair of interior support electrical network business application, externally provide information consulting service.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation are not constituted an undue limitation on the present application for explaining the application.
Fig. 1 is a kind of gradual multi-specialized data correlation fusion method process of power grid according to one or more embodiments
Figure；
Fig. 2 is the Technical Architecture figure according to one or more embodiments；
Fig. 3 is the data access Technical Architecture figure according to one or more embodiments；
Fig. 4 is the equipment room annexation figure according to one or more embodiments；
Fig. 5 is the equipment room inclusion relation figure according to one or more embodiments；
Fig. 6 is the multisource data fusion procedure chart according to one or more embodiments.
Specific embodiment:
Below in conjunction with the attached drawing in one or more other embodiments of the present disclosure, to one or more other embodiments of the present disclosure
In technical solution be clearly and completely described, it is clear that described embodiments are only a part of the embodiments of the present invention,
Instead of all the embodiments.Based on one or more other embodiments of the present disclosure, those of ordinary skill in the art are not being made
Every other embodiment obtained, shall fall within the protection scope of the present invention under the premise of creative work.
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms that the present embodiment uses have and the application person of an ordinary skill in the technical field
Normally understood identical meanings.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
It should be noted that flowcharts and block diagrams in the drawings show according to various embodiments of the present disclosure method and
The architecture, function and operation in the cards of system.It should be noted that each box in flowchart or block diagram can represent
A part of one module, program segment or code, a part of the module, program segment or code may include one or more
A executable instruction for realizing the logic function of defined in each embodiment.It should also be noted that some alternately
Realization in, function marked in the box can also occur according to the sequence that is marked in attached drawing is different from.For example, two connect
The box even indicated can actually be basically executed in parallel or they can also be executed in a reverse order sometimes,
This depends on related function.It should also be noted that each box and flow chart in flowchart and or block diagram
And/or the combination of the box in block diagram, the dedicated hardware based system that functions or operations as defined in executing can be used are come
It realizes, or the combination of specialized hardware and computer instruction can be used to realize.
In the absence of conflict, the feature in the embodiment and embodiment in the disclosure can be combined with each other, and tie below
It closes attached drawing and embodiment is described further the disclosure.
Embodiment one
According to the one aspect of one or more other embodiments of the present disclosure, a kind of multi-specialized data pass of gradual power grid is provided
Join fusion method.
As shown in Figure 1, a kind of multi-specialized data correlation fusion method of gradual power grid, this method comprises:
S101: by full-service data center data according to structural data, unstructured data and blended data respectively into
Row data access；
S101: the data of access are subjected to data unification, the unification according to the integrated power system device model pre-established
Grid equipment model includes general character model and characteristic model；
S101: data after reunification are gradually pressed into voltage class, equipment room connection relationship and equipment inclusion relation and are carried out gradually
It is associated with and merges into formula；
S101: association fusion situation is verified, not matched data is screened and is matched again, it is multi-specialized to obtain power grid
The data of whole association fusions of data are stored to grid equipment integrated database.
Particular technique architecture diagram as shown in Figure 2, a kind of gradual multi-specialized data correlation fusion method of power grid are divided into entirely
The access of business datum centre data, integrated power system device model, gradual association fusion are (by voltage class association fusion, by setting
Connection relationship association fusion between standby, by inclusion relation association fusion), the whole network grid equipment association fusion situation verify four ranks
Section is realized the intelligent association between data, is ultimately formed comprising platform by gradual comparing of each stage, calculating and processing
Account information, operation information, spatial information grid equipment integrated database.
In the step S101 of one or more other embodiments of the present disclosure, full-service data center data include PMS
Equipment account data, the device space data of power network GIS platform, the measuring point account data of EMS system and the 35kV of system and with
Upper equipment operating data, the medium/low-voltage equipment operation data of electric service maneuvering platform and the marketing of power information acquisition system
Data；
The equipment account data of the PMS system and the measuring point account data of EMS system are the structural data；
The medium/low-voltage equipment operation of the 35kV of the EMS system and the above equipment operating data, electric service maneuvering platform
The marketing data of data and power information acquisition system is the unstructured data；
The device space data of the power network GIS platform are blended data.
As shown in figure 3, as further scheme, the structural data in one or more other embodiments of the present disclosure
Using the access of ETL+Windows task scheduling mode implementation relation data, specific steps include:
The required structural data is extracted from data source；By data cleansing, conversion, according to what is pre-defined
Data warehouse model loads data into data warehouse.
In the present embodiment, using the access of ETL+Windows task scheduling mode implementation relation data, always by data
Source is by extracting (extract), conversion (transform), load (load) to purpose client database.It is extracted from data source
Required data, finally according to the data warehouse model pre-defined, load data into data warehouse by data cleansing
In.The structural datas such as the PMS such as substation, route, transformer, switch, conducting wire account and EMS measuring point account use this mode
Access.
As further scheme, the access side of the unstructured data in one or more other embodiments of the present disclosure
Formula are as follows: data pick-up is carried out using the JavaAPI mode that Hbase database provides, while using schedule job frame Quartz
Realize data pick-up task timer-triggered scheduler.
It is big in view of the operation informations data volume such as equipment measuring point active power, reactive power, electric current, voltage in EMS, update frequency
Degree is high, and data are stored in HBASE database, carries out data pick-up using the JavaAPI mode that Hbase is provided, while using tune
It spends operation frame Quartz and realizes data pick-up task timer-triggered scheduler.
As further scheme, the access way of the blended data in one or more other embodiments of the present disclosure
Are as follows: it realizes spatial information access using webservice client request mode and shows in real time.It is adopted in view of device space data
It is realized and is shared with the spatial information REST service that power network GIS platform provides, therefore use webservice client request mode
It realizes spatial information access and shows in real time.
In the step S102 of one or more other embodiments of the present disclosure, the integrated power system device model is according to each source system
Data model of uniting is established using data topology parser.By carrying out each source system data model analysis, integrated power system is established
Device model includes general character model and characteristic model.The general character model includes infrastructure device attribute model, the infrastructure device
Infrastructure device in attribute model includes: substation, interval, main transformer, electric line, switchgear house, box become, become on column, match
Piezoelectric transformer, Switch equipment；Shared attribute in the infrastructure device attribute model includes: affiliated source system, source device volume
Code, device type, device name, voltage class, affiliated area, higher level's power supply point, junior's power supply unit (set), affiliated parent
Type, affiliated parent device；The general character model is stored using relational database (RDB).
The characteristic model is the particular attribute of each source system, including account information, real-time running data, space coordinate number
Accordingly and the incidence relation of characteristic and general character.The characteristic model is using relational database and big data mixing storage.
In the step S103 of one or more other embodiments of the present disclosure, the association fusion of data includes:
S1031: fusion is associated by voltage class；
The specific steps for being associated fusion by voltage class include:
500kV substation, main transformer, transmission line equipment pass are carried out according to voltage class, equipment affiliated area, device name
Connection corresponds to；
Successively carry out 220kV, 110kV, 35kV substation, main transformer, transmission line equipment association correspondence；
For the equipment of low-voltage-grade, the substation that bears the same name in same voltage class, the same area, route are in the step
In not machine be associated.
For electric network data model feature, as the reduction of voltage class, number of devices are in geometric growth, and same voltage
There is equipment connecting relation between grade, upper and lower voltage class, therefore according to voltage class, equipment affiliated area, implementor name
Claim the 500kV substation of development first, main transformer, transmission line equipment corresponding, then successively carries out 220kV, 110kV, 35kV power transformation
It stands, the association of main transformer, transmission line equipment corresponds to, it is ensured that best voltage class is all successfully associated, with the reduction of voltage class,
Equipment corresponding rate successively reduces, for bear the same name in same voltage class, the same area substation, route first not be associated with, with
Below gradual data correlation fusion, be gradually completing data correlation fusion it is corresponding with equipment.
S1032: fusion is associated by equipment room connection relationship；
By equipment room connection relationship, it is associated between each professional equipment of starting point step-by-step analysis using highest voltage level substation
Relationship sets up incidence relation one by one, further increases equipment transverse direction data correlation degrees of fusion.As shown in figure 4, substation 1 with
By switch connection between substation 2, substation 1 connects distribution transforming by box change, or is directly connected to box change.
S1033: fusion is associated by equipment room inclusion relation.
By inclusion relation, set membership between device data, the sub- equipment that each equipment is included is analysed in depth, gradually
Matching relationship is established, equipment longitudinal data association degrees of fusion is further increased.As shown in figure 5, substation includes interval, interval packet
Containing main transformer, main transformer includes high-voltage winding, middle pressure winding and low pressure winding.
It is multi-specialized by the gradual power grid of above step in the step S104 of one or more other embodiments of the present disclosure
Data correlation fusion, the incidence relation of multi-specialized device data is gradually established by computerized algorithm, and screening fails matched
Each professional equipment set, is matched again using recursive mode, on a small quantity can not matched device data, by building set
Standby manual association functional module carries out the matching of device data for management unit users at different levels, final to realize the multi-specialized number of power grid
According to whole association fusions.
Multisource data fusion process is as shown in fig. 6, the multi-specialized data correlation fusion method of gradual power grid passes through to full industry
The access for each expert data of data center of being engaged in, progressive carry out longitudinally are wrapped by voltage class, equipment room lateral connection relationship, equipment room
Containing multi-specialized device data association fusion of relational implementation, and association fusion situation is verified, how special ultimately generates power grid
The fusion of industry data is unified, provides strong data supporting for advanced applications such as diagnostic analysis, the load predictions of power grid.
Embodiment two
According to the one aspect of one or more other embodiments of the present disclosure, a kind of computer readable storage medium is provided.
A kind of computer readable storage medium, wherein being stored with a plurality of instruction, described instruction is suitable for by terminal device
Reason device loads and executes a kind of gradual multi-specialized data correlation fusion method of power grid.
Embodiment three
According to the one aspect of one or more other embodiments of the present disclosure, a kind of terminal device is provided.
A kind of terminal device comprising processor and computer readable storage medium, processor is for realizing each instruction；Meter
For calculation machine readable storage medium storing program for executing for storing a plurality of instruction, it is progressive that described instruction is suitable for being loaded by processor and being executed described one kind
The multi-specialized data correlation fusion method of formula power grid.
These computer executable instructions execute the equipment according to each reality in the disclosure
Apply method or process described in example.
In the present embodiment, computer program product may include computer readable storage medium, containing for holding
The computer-readable program instructions of row various aspects of the disclosure.Computer readable storage medium, which can be, can keep and store
By the tangible device for the instruction that instruction execution equipment uses.Computer readable storage medium for example can be-- but it is unlimited
In-- storage device electric, magnetic storage apparatus, light storage device, electric magnetic storage apparatus, semiconductor memory apparatus or above-mentioned
Any appropriate combination.The more specific example (non exhaustive list) of computer readable storage medium includes: portable computing
Machine disk, hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or
Flash memory), static random access memory (SRAM), Portable compressed disk read-only memory (CD-ROM), digital versatile disc
(DVD), memory stick, floppy disk, mechanical coding equipment, the punch card for being for example stored thereon with instruction or groove internal projection structure, with
And above-mentioned any appropriate combination.Computer readable storage medium used herein above is not interpreted instantaneous signal itself,
The electromagnetic wave of such as radio wave or other Free propagations, the electromagnetic wave propagated by waveguide or other transmission mediums (for example,
Pass through the light pulse of fiber optic cables) or pass through electric wire transmit electric signal.
Computer-readable program instructions described herein can be downloaded to from computer readable storage medium it is each calculate/
Processing equipment, or outer computer or outer is downloaded to by network, such as internet, local area network, wide area network and/or wireless network
Portion stores equipment.Network may include copper transmission cable, optical fiber transmission, wireless transmission, router, firewall, interchanger, gateway
Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted
Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment
In calculation machine readable storage medium storing program for executing.
Computer program instructions for executing present disclosure operation can be assembly instruction, instruction set architecture (ISA)
Instruction, machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programmings
The source code or object code that any combination of language is write, the programming language include the programming language-of object-oriented such as
C++ etc., and conventional procedural programming languages-such as " C " language or similar programming language.Computer-readable program refers to
Order can be executed fully on the user computer, partly be executed on the user computer, as an independent software package
Execute, part on the user computer part on the remote computer execute or completely on a remote computer or server
It executes.In situations involving remote computers, remote computer can include local area network by the network-of any kind
(LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as utilize internet
Service provider is connected by internet).In some embodiments, by being believed using the state of computer-readable program instructions
Breath comes personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or programmable logic
Array (PLA), the electronic circuit can execute computer-readable program instructions, to realize the various aspects of present disclosure.
Example IV
According to the one aspect of one or more other embodiments of the present disclosure, a kind of multi-specialized data pass of gradual power grid is provided
Join fusing device.
A kind of multi-specialized data correlation fusing device of gradual power grid, based on a kind of gradual multi-specialized number of power grid
According to association fusion method, comprising:
Data access module is configured as full-service data center data according to structural data, unstructured data
Data access is carried out respectively with blended data；
The data of access are carried out data unification according to the integrated power system device model pre-established by unified model module,
The integrated power system device model includes general character model and characteristic model；
Gradual data correlation Fusion Module, by data after reunification gradually press voltage class, equipment room connection relationship and
Equipment inclusion relation carries out gradual association fusion；Association fusion situation is verified, the not matched data of screening carry out again
Matching, the data for obtaining whole association fusions of the multi-specialized data of power grid are stored to grid equipment integrated database.
It should be noted that although being referred to several modules or submodule of equipment in the detailed description above, it is this
Division is only exemplary rather than enforceable.In fact, in accordance with an embodiment of the present disclosure, two or more above-described moulds
The feature and function of block can embody in a module.Conversely, the feature and function of an above-described module can be with
Further division is to be embodied by multiple modules.
The disclosure the utility model has the advantages that
A kind of multi-specialized data correlation fusion method of gradual power grid and device that the disclosure provides, by using ETL,
How special the multiple technologies means such as webservice, data topology parser, big data distributed storage and parallel computation realized
Auto-associating fusion, data integration and the data management of grid equipment data, form system, accurate, efficient, succinct electricity between industry
Network planning draw control data corporation, cover data access, data cleansing, data integration, data storage, data production, INDEX MANAGEMENT,
The processes such as data mart modeling and information service, pair of interior support electrical network business application, externally provide information consulting service.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.Therefore, the present invention is not intended to be limited to this
These embodiments shown in text, and it is to fit to the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. a kind of multi-specialized data correlation fusion method of gradual power grid, which is characterized in that this method comprises:
Full-service data center data are carried out data according to structural data, unstructured data and blended data respectively to connect
Enter；
The data of access are subjected to data unification, the integrated power system equipment mould according to the integrated power system device model pre-established
Type includes general character model and characteristic model；
Data after reunification are gradually carried out gradual be associated with by voltage class, equipment room connection relationship and equipment inclusion relation to melt
It closes；
Association fusion situation is verified, not matched data is screened and is matched again, obtain the complete of the multi-specialized data of power grid
The data of portion's association fusion are stored to grid equipment integrated database.
2. a kind of gradual multi-specialized data correlation fusion method of power grid as described in claim 1, which is characterized in that in the party
In method, full-service data center data include the device space number of the equipment account data of PMS system, power network GIS platform
According to, the medium/low-voltage equipment of the measuring point account data of EMS system and 35kV and the above equipment operating data, electric service maneuvering platform
The marketing data of operation data and power information acquisition system；
The equipment account data of the PMS system and the measuring point account data of EMS system are the structural data；
The medium/low-voltage equipment operation data of the 35kV of the EMS system and the above equipment operating data, electric service maneuvering platform
And the marketing data of power information acquisition system is the unstructured data；
The device space data of the power network GIS platform are blended data.
3. a kind of gradual multi-specialized data correlation fusion method of power grid as described in claim 1, which is characterized in that in the party
In method, the structural data uses the access of ETL+Windows task scheduling mode implementation relation data, specific steps packet
It includes:
The required structural data is extracted from data source；By data cleansing, conversion, according to the data pre-defined
Storehouse model loads data into data warehouse.
4. a kind of gradual multi-specialized data correlation fusion method of power grid as described in claim 1, which is characterized in that in the party
In method, the access way of the unstructured data are as follows: data pumping is carried out using the JavaAPI mode that Hbase database provides
It takes, while data pick-up task timer-triggered scheduler is realized using schedule job frame Quartz.
5. a kind of gradual multi-specialized data correlation fusion method of power grid as described in claim 1, which is characterized in that in the party
In method, the access way of the blended data are as follows: using webservice client request mode realize spatial information access with
Show in real time.
6. a kind of gradual multi-specialized data correlation fusion method of power grid as described in claim 1, which is characterized in that in the party
In method, the general character model includes infrastructure device attribute model, and the infrastructure device in the infrastructure device attribute model includes: to become
Power station, interval, main transformer, electric line, switchgear house, it is box become, change, distribution transformer, Switch equipment on column；The basis
Shared attribute in device attribute model includes: affiliated source system, source device coding, device type, device name, voltage etc.
Grade, affiliated area, higher level's power supply point, junior's power supply unit, affiliated parent type, affiliated parent device；
The characteristic model be each source system particular attribute, including account information, real-time running data, spatial data with
And the incidence relation of characteristic and general character.
7. a kind of gradual multi-specialized data correlation fusion method of power grid as described in claim 1, which is characterized in that in the party
In method, the specific steps for being associated fusion by voltage class include:
500kV substation, main transformer, transmission line equipment association pair are carried out according to voltage class, equipment affiliated area, device name
It answers；
Successively carry out 220kV, 110kV, 35kV substation, main transformer, transmission line equipment association correspondence；
For the equipment of low-voltage-grade, the substation that bears the same name in same voltage class, the same area, route are in this step not
Machine is associated.
8. a kind of computer readable storage medium, wherein being stored with a plurality of instruction, which is characterized in that described instruction is suitable for by terminal
The processor of equipment, which loads and executes the described in any item a kind of gradual multi-specialized data correlations of power grid of claim 1-7 such as, to be melted
Conjunction method.
9. a kind of terminal device comprising processor and computer readable storage medium, processor is for realizing each instruction；It calculates
Machine readable storage medium storing program for executing is for storing a plurality of instruction, which is characterized in that described instruction is suitable for being loaded by processor and being executed such as power
Benefit requires a kind of described in any item gradual multi-specialized data correlation fusion methods of power grid of 1-7.
10. a kind of multi-specialized data correlation fusing device of gradual power grid, which is characterized in that any based on such as claim 1-7
A kind of gradual multi-specialized data correlation fusion method of power grid described in, comprising:
Data access module is configured as full-service data center data according to structural data, unstructured data and mixed
It closes data and carries out data access respectively；
The data of access are carried out data unification according to the integrated power system device model pre-established by unified model module, described
Integrated power system device model includes general character model and characteristic model；
Data after reunification are gradually pressed voltage class, equipment room connection relationship and equipment by gradual data correlation Fusion Module
Inclusion relation carries out gradual association fusion；Association fusion situation is verified, not matched data is screened and is matched again,
The data for obtaining whole association fusions of the multi-specialized data of power grid are stored to grid equipment integrated database.
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