CN107391617A - Model method is led based on monitoring system automatically - Google Patents
Model method is led based on monitoring system automatically Download PDFInfo
- Publication number
- CN107391617A CN107391617A CN201710539956.2A CN201710539956A CN107391617A CN 107391617 A CN107391617 A CN 107391617A CN 201710539956 A CN201710539956 A CN 201710539956A CN 107391617 A CN107391617 A CN 107391617A
- Authority
- CN
- China
- Prior art keywords
- model
- file
- cim
- unusual fluctuation
- monitoring system
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000012544 monitoring process Methods 0.000 title claims abstract description 27
- 238000012986 modification Methods 0.000 claims abstract description 7
- 230000004048 modification Effects 0.000 claims abstract description 7
- 238000013519 translation Methods 0.000 claims abstract description 4
- 238000009826 distribution Methods 0.000 claims description 31
- 238000012795 verification Methods 0.000 claims description 14
- 238000012423 maintenance Methods 0.000 abstract description 13
- 238000005516 engineering process Methods 0.000 description 19
- 238000007726 management method Methods 0.000 description 13
- 238000012545 processing Methods 0.000 description 11
- 230000006870 function Effects 0.000 description 8
- 230000008569 process Effects 0.000 description 8
- 230000008859 change Effects 0.000 description 7
- 238000003860 storage Methods 0.000 description 7
- 230000004913 activation Effects 0.000 description 5
- 238000006243 chemical reaction Methods 0.000 description 5
- 238000010276 construction Methods 0.000 description 4
- 230000007246 mechanism Effects 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000008676 import Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 3
- 238000012800 visualization Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000003999 initiator Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000007363 ring formation reaction Methods 0.000 description 1
- 230000026676 system process Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000010200 validation analysis Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/174—Redundancy elimination performed by the file system
- G06F16/1748—De-duplication implemented within the file system, e.g. based on file segments
- G06F16/1756—De-duplication implemented within the file system, e.g. based on file segments based on delta files
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/11—File system administration, e.g. details of archiving or snapshots
- G06F16/116—Details of conversion of file system types or formats
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2358—Change logging, detection, and notification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
Model method is led based on monitoring system automatically the present invention relates to a kind of.This method：Graphic file by all feeder lines of generalized information system timing acquisition prefectures and cities of S1, monitoring system, model file information；S2, the graphic file by the picture file translation of CIM/SVG forms for CIM/G forms, CIM/XML form model files are converted to CIM/E form model files；S3, parsing CIM/E form model files, form memory file, register related feeder line or regional information, according to corresponding feeder line in feeder line or regional information called data storehouse or the former CIM/E forms model file in area, and are compared, form incremental model file pair：Forward.CIME, Backward.CIME, and increment modification is carried out to database.The present invention realizes the on-line Full importing of the whole province's unusual fluctuation feeder line model, effectively reduces maintenance work amoun.
Description
Technical field
Model method is led based on monitoring system automatically the present invention relates to a kind of.
Background technology
Model is a kind of digitized description of objective electric power grid structure.Electric network model is the base of power system software analysis
Plinth；Monitoring system requires that complete, consistent, accurate, timely, reliable grid model data is supported.Therefore, model data is complete
Whole property and promptness are the core links in detecting system process of construction.
Most models are all that construction system is imported in a manner of manual intervention at present, generally there are workload it is big,
Easy error, model information poor intuition, it is difficult to ensure that the problems such as integrality promptness of model.
Monitoring system needs to monitor the data and running situation of company of prefectures and cities of the whole province, so system is needed the whole province various regions
The model data in city all imports construction system.Total figure modulus data bulk reaches million ranks, and this is just proposed to leading model efficiency
Very high requirement by artwork data in the most short time, it is necessary to import construction system.
Existing model treatment technology can not be used for monitoring system well.Subject matter has：
1st, it is domestic automatic at present to lead that modelling technique is less, lack enough operating experience；
2nd, model treatment technology at this stage is required for manual intervention and is single thread processing graph model file, than relatively time-consuming,
It is less efficient.Big specification graph model data as detecting system can not be applicable；
3rd, monitoring test system has a large amount of more topological node equipment, but current model treatment technology can not all be handled；
In view of this, provide a set of non-maintaining model of mind leading-in technique for monitoring system, including graph model file verification,
The conversion of artwork file, data enter offline storehouse and the online automatic business processing mechanism such as put into operation.Support each department graph model is unified to tie up
Shield unified management, support the verification of artwork data and form error reporting, support between a plurality of feeder line using interconnection switch be border certainly
Dynamic splicing and support to the increasing newly of equipment, put into operation, the function such as retired new throwing unusual fluctuation management.Power network the whole network complete model is carried out
The management of offline versions, online version, all model datas can come into force into online real after the completion of offline storehouse model maintenance
When runtime, for each application module provide data support.The on-line Full importing of the whole province's unusual fluctuation feeder line model is realized, is had
The reduction maintenance work amoun of effect.
At present, although the model leading-in technique flow of main flow is as shown in figure 1, the flow can generate a set of model importing side
Case, it require that manual intervention and can only single thread processing model file, it is less efficient.To the such data volume of monitoring system
Greatly, high system is not very applicable to be required to integrality and promptness.In addition, it can not handle the topology more in monitoring system
Special installation as node etc..Therefore, according to the characteristics of monitoring system, it have developed one kind and lead modelling technique automatically.All figures
The processing of mould file is all multithreading, non-maintaining, automatic running.So improve the treatment effeciency of artwork data, propulsion system
Building time, and add the more topological node equipment of a module special disposal.
The content of the invention
Model method is led automatically based on monitoring system it is an object of the invention to provide a kind of, the method achieve the whole province
The on-line Full importing of unusual fluctuation feeder line model, effectively reduces maintenance work amoun.
To achieve the above object, the technical scheme is that：It is a kind of that model method is led based on monitoring system automatically, wrap
Include following steps,
Graphic file by all feeder lines of generalized information system timing acquisition prefectures and cities of S1, monitoring system, model file information；
S2, the graphic file by the picture file translation of CIM/SVG forms for CIM/G forms, CIM/XML forms model file turn
It is changed to CIM/E form model files；
S3, parsing CIM/E form model files, form memory file, related feeder line or regional information are registered, according to feeder line or ground
Corresponding feeder line or the former CIM/E forms model file in area in area information called data storehouse, and be compared, form difference module
Type file pair：Forward.CIME, Backward.CIME, and increment modification is carried out to database.
In an embodiment of the present invention, in the step S1, monitoring system is to obtain prefectures and cities by way of FTP to own
The graphic file of feeder line, model file information.
In an embodiment of the present invention, before the step S2, also need to check model file, including：Grammer school
Core, verify unusual fluctuation model file in express power distribution network object grammer whether specification, whether attribute complete, and whether the object of association
In the presence of；Name verification, verifies whether the name of Distribution Network Equipment in unusual fluctuation model meets specification；Topology verification, verifies unusual fluctuation mould
The topological relation of Distribution Network Equipment whether there is problem in type.
Compared to prior art, the invention has the advantages that：The inventive method realizes the whole province's unusual fluctuation feeder line mould
The on-line Full importing of type, effectively reduces maintenance work amoun.
Brief description of the drawings
Fig. 1 is existing main model leading-in technique flow chart.
Fig. 2 is the automatic guided mode type automated process flow figure of the present invention.
Fig. 3 is that the model based on CIM/E is put in storage technology figure.
Fig. 4 is unusual fluctuation list state diagram.
Fig. 5 is unusual fluctuation list and model version.
Fig. 6 switchs for T-shaped.
Fig. 7 switchs for V-arrangement.
Fig. 8 is the switch after processing.
Fig. 9 is device connection diagram.
Embodiment
Below in conjunction with the accompanying drawings, technical scheme is specifically described.
The a kind of of the present invention leads model method automatically based on monitoring system, comprises the following steps,
Graphic file by all feeder lines of generalized information system timing acquisition prefectures and cities of S1, monitoring system, model file information；
S2, the graphic file by the picture file translation of CIM/SVG forms for CIM/G forms, CIM/XML forms model file turn
It is changed to CIM/E form model files；
S3, parsing CIM/E form model files, form memory file, related feeder line or regional information are registered, according to feeder line or ground
Corresponding feeder line or the former CIM/E forms model file in area in area information called data storehouse, and be compared, form difference module
Type file pair：Forward.CIME, Backward.CIME, and increment modification is carried out to database.
In the step S1, monitoring system is that graphic file, the model of all feeder lines of prefectures and cities are obtained by way of FTP
Fileinfo.
Before the step S2, also need to check model file, including：Grammer is checked, and verifies unusual fluctuation model file
It is middle expression power distribution network object grammer whether specification, whether attribute complete, and the object of association whether there is；Name verification, checking
Whether the name of Distribution Network Equipment meets specification in unusual fluctuation model；Topology verifies, and Distribution Network Equipment opens up in checking unusual fluctuation model
Flutter relation and whether there is problem.
It is below the specific implementation process of the present invention.
The present invention's leads model method automatically based on monitoring system, and monitoring system is controlled from the power distribution network scheduling of prefectures and cities of the whole province
System processed obtains the figure of all feeder lines of prefectures and cities, model file information, and figure is SVG formatted files, and model is CIM forms text
Part；The graphical model file of push prefectures and cities all feeder lines for the first time, timing daily afterwards, which is sent, occurs unusual fluctuation and complete in one day
Into the graphical model file of storage.The mode of acquisition graphical model file is between system and 9 districts and cities' power distribution network Dispatching Control Systems
FTP modes, provincial company system do service end.
After system receives plat, mould unusual fluctuation file, intelligent no maintenance integrated modelling instrument is real-time to the whole province's distribution
The unified maintenance and management of model.The whole province's distribution network model is managed with incremental mode, equipment at different levels is merged and newly throws unusual fluctuation stream
The unusual fluctuation administrative mechanism of Cheng Jianli models, the whole province's power distribution network full model dispersing maintenance is realized, is merged and is concentrated, is managed collectively.
Intelligent no maintenance is integrated into modeling tool, has been verified for saving leveling platform from the acquisition of power distribution network Dispatching Control System
The characteristics of artwork, simplify artwork guiding flow, propose non-maintaining model of mind unusual fluctuation management method, add model and intelligently spell
Connect, the intelligent processing method mechanism such as automatic Check, support the importing of the whole province's artwork information, support to the increasing newly of equipment, put into operation, retired
New throwing unusual fluctuation management.The management of offline versions, online version is carried out to power network the whole network complete model and figure, in off-line model
Full validation is carried out after maintenance, can be come into force into online Real-time running system, providing data for each application module supports.It is real
The on-line Full importing of Xian Liao the whole provinces unusual fluctuation feeder line model, effectively reduces maintenance work amoun.Core technology includes：Artwork is changed
Technology, model visualization Verification Technology, model storage technology, the model version administrative skill based on unusual fluctuation list based on CIME.
Automated process flow is as shown in Figure 2.
1st, artwork switch technology：
State's network planning model and international standard electrical network figure modular lattice formula flexible conversion function are researched and developed, realizes SVG format graphics and CIM/G forms
The mutual conversion of figure, the mutual conversion of CIMXML forms model and CIM/E form models.
The figure for coming from districts and cities' electrical power distribution automatization system is SVG forms, and model is CIM/XML forms, and major network artwork is handed over
CIM/E and CIM/G forms are mutually used, the artwork form that D5000 platforms are supported in itself imports, export form is CIM/E, CIM/
G forms.In order to ensure that platform is provided simultaneously with the ability of main distribution network model processing, and meet external interaction demand, system realizes state
Network planning model and international standard electrical network figure modular lattice formula flexible conversion function.
CIM/E forms model file and CIM/XML form model files are analyzed, it can be found that the class in model data file
Name and attribute-name and difference basically identical in CIM/XML, main are that topological connection relationship is different with the describing mode of measurement.
Topological relation is described with Terminal classes and ConnectiveNode class objects in CIM/XML；And the topological relation in CIM/E
Description done simplification, topological relation is described with the connection attribute of equipment.Therefore, two kinds of standards systems are fundamentally consistent
Property, clear and definite corresponding relation can be found, therefore the instrument that two kinds of model formats mutually turn can be researched and developed accordingly.CIM/SVG and
CIM/G forms are also similar, can find the clearly corresponding pass of figure layer, picture element, object, tie point, scaling, background picture
System, thus mutually turning for graphical format can be realized.
2nd, model visualization Verification Technology
Model Checking can substantially be divided into two major classes of system automatic Check and artificial check.
System automatic Check includes：Grammer is checked, and whether the grammer of expression power distribution network object in checking unusual fluctuation model file
Specification, whether attribute is complete, and the object of association whether there is；Name verification, verifies the name of Distribution Network Equipment in unusual fluctuation model
Whether specification is met；Topology verification, verify that the topological relation of Distribution Network Equipment in unusual fluctuation model whether there is obvious problem, such as set
Standby no-terminal, arrangement terminal is hanging, feeder line is topological cyclization etc. occurs.
Artificial check includes：Correctly whether the scope of model unusual fluctuation, whether mistake changes device id, topological connection relation is
It is no correct etc..The work of this part is generally required by the personnel for being familiar with power distribution network situation to be responsible for, and emphasis is that to find out system automatic
The problem of check can not be found, such as：Being rebuild after the annexation of equipment room is incorrect, equipment is deleted causes ID to change, and influences
Automatic data processing etc..
Because the information content carried in unusual fluctuation model is larger, the comparing result of new and old model is shown readable by list mode
Property it is poor, have impact on the efficiency manually checked and check effect.System combination automatic mapping function, it have studied model visualization check
Technology.
3rd, the model storage technology based on CIME
As shown in figure 3, the model storage technology based on CIM/E models can be divided into 5 parts from software function：
1）Model file form is changed.The CIM/XML model files that GIS is sent are converted into CIM/E model files, are referred to as new
CIM/E model files.
2）Model file parses.New CIM/E model files are parsed, memory file is formed, registers related feeder line (distribution mould
Type) or it is regional (major network model).
3）Model extraction.According to feeder line or regional register information, the model that feeder line or area are corresponded in storehouse is extracted, is referred to as
Old CIM/E model files.
4）Model compares.According to new, old CIM/E model files, incremental model file pair is formed：Forward.CIME、
Backward.CIME。
5）Increment is put in storage.Input as incremental model file pair, according to CIM/E Map Profiles, database is increased
Amount modification.
The form of presentation of incremental model file also provides possibility for the fast cancel or rollback of the change of storehouse model.When needing back
When moving back the modification to database, Backward.CIME, Forward.CIME of delta file are only exchanged into file name once,
Enter the input of library module as increment, it is possible to utilize existing Implement of Function Module rollback operation.
The intelligent processing method mechanism such as model intelligent connecting, automatic Check is added for platform character, it is different to realize the whole province
The on-line Full importing of dynamic feeder line model, reduces maintenance work amoun.
4th, the model version administrative skill based on unusual fluctuation list
System exports for the demand of Fujian power distribution network scheduling O＆M with reference to production management system, power distribution network Dispatching Control System
The technical characterstic of unusual fluctuation model, the online unusual fluctuation management process of a set of power distribution network CIM is devised, is formd and production management system
Model unusual fluctuation closed loop management between system, power distribution network Dispatching Control System.First link, by production management system as unusual fluctuation
Initiator, examination ＆ verification and issue artwork recipient of the power distribution network Dispatching Control System as unusual fluctuation；Second link, power distribution network scheduling
Control system is as issue artwork submission side, and platform is as issue artwork recipient.Save the correlations such as ground scheduling, fortune inspection, automation
Department's both hand-in-gloves, the division of labor is clear and definite again, it is ensured that platform receives timely, correct distribution artwork.
Just it is this unusual fluctuation request one unusual fluctuation of generation after unusual fluctuation detection module receives the model unusual fluctuation request of source end system
Single, multiple unusual fluctuation request will form multiple unusual fluctuation lists.Referring to Fig. 4, the big type of state of unusual fluctuation list have initialization state, activated state,
History state.
Activated state is subdivided into 5 states：Pending, model is successfully accessed, model access failure, figure are successfully accessed, figure connects
Enter failure.History state segments 2 states：Effective history, invalidation history.The event for promoting unusual fluctuation list state change be unusual fluctuation list detection,
Unusual fluctuation single activation, the processing of unusual fluctuation list, unusual fluctuation list come into force, activate cancellation and the cancellation of unusual fluctuation list.
Unusual fluctuation detection is to receive the model unusual fluctuation request of source end system, generates the unusual fluctuation list of an initialization state, register
Figure that secondary unusual fluctuation is related to, mould fileinfo, do preliminary check, and register check results to the file of model, figure.
Activate the storage handling process that unusual fluctuation list starts selection unusual fluctuation list.It is overlapping in view of model information in different unusual fluctuation lists
Possibility, synchronization can only exist one activation unusual fluctuation list.
Model information access is to activate unusual fluctuation list to include the process that model enters offline versions.It is successfully accessed, could starts
Unusual fluctuation figure flow.Figure is successfully accessed, and can be started unusual fluctuation and be come into force, and the modification of offline version model, figure will be synchronized to online
In version.
History unusual fluctuation simple form into when, unusual fluctuation list disposition can return to source end system.The implementation status of history unusual fluctuation list, is related to
And the concrete condition that feeder line, the model arrived changes, the situation of change of figure, review process will all place on record, after facilitating user
The inquiry of phase.
Model version content includes Mercantile Models storehouse and series plot file, and model version is numbered since 1.0, for mould
The once change model version number in type storehouse plus 0.1.Fig. 5 is that the processing of unusual fluctuation list and release maintenance schematic diagram, offline version are used for model
Safeguard, online version generation real-time database, figure example, support is provided for the application of real time execution.The activation manipulation of unusual fluctuation list, it will upgrade
Offline versions, figure, model change in unusual fluctuation list will embody in offline version.Unusual fluctuation, which comes into force, upgrades online version, will be offline
Change in version is synchronized in online version.Unusual fluctuation cancellation or unusual fluctuation activation are cancelled, and off-line model version will return back to unusual fluctuation
Version before single activation.
Three technical characterstics, feature 1 be present in the model unusual fluctuation management of the system：Because without figure, mould examination ＆ verification link, unusual fluctuation list
Execution be automated procedure without human interaction, but if occurring verification failure in implementation procedure, importing failure, unusual fluctuation process
It is automatic to terminate.No matter successful execution or midway stop unusual fluctuation list implementation status, register on the books, unusual fluctuation menu manager circle can be logged in
Face understands unusual fluctuation details.Feature 2：Because mutual association is not present in the unusual fluctuation list of different regions, the unusual fluctuation list of different regions can
It is synchronous to perform, greatly save the processing time of unusual fluctuation list.Feature 3：Device interior coding includes region identifier, thus under be attached to reality
In Shi Ku, similar indicator be present and different regions are corresponded to different memory sharing files.The association of regional distribution network model is reduced, is
The applied analysis of region-by-region improves access efficiency and systematic function lays the foundation.
5th, more topological node equipment treatment technologies
Equipment-T/V types switch of a kind of more topological nodes in distribution network model be present, as shown in Figure 6, Figure 7.This kind equipment has 4
Individual tie point and 4 kinds of states, tri- tie points of A, B, C are active node in 4 tie points, and 4 kinds of states are respectively the shape in figure
State 1, state 2, state 3, state 4.But switch is two-end device in D5000 model libraries, and only it is divided to, closes two kinds of shapes
State.Therefore T-shaped switch and V-type switch can not directly enter D5000 model libraries, it is necessary to carry out specially treated.
System is directed to the specific properties of this kind equipment, there is provided a kind of more topological node equipment treatment technologies.This technology
Can in the case where not changing existing library structure correct storing device information.This side technology is not only practical to be switched with T/V types, it
All more topological node equipment can be handled.The processing step of this technology is summarized by taking T-shaped switch as an example below：
（1）Two states are increased newly for D5000 switchgears, are temporarily named as state 3, state 4, are switched and are co-existed in point after increase
（State 1）, close（State 2）, state 3,4 four kinds of states of state.
（2）As shown in Figure 8,9, it is the newly-increased virtual link point D of T-shaped switch.
（3）Switch is disassembled as 3 independent switchgears, three switchgears be respectively switch 1, switch 2,
Switch 3, three tie points switched and annexation are as shown in Figure 9.
（4）By former T-shaped switch（It is named as switch 4）The typing breaker table in the form of empty passing node equipments, the switchgear
Because both ends tie point is sky, so being not involved in topological calculating, related image browser-presented is used only as.
（5）Switch 1, switch 2, switch 3, switch 4 are bound one group in a model.The rdfid name rule of switch 1,2,3
It is then：Switch 4rfdid+ suffix.
Such as：Switch 1 rdf_id be：Switch 4 rdfid_1;
Switch 2 rdf_id be：Switch 4 rdfid_2；
Switch 3 rdf_id be：Switch 4 rdfid_3.
Above is presently preferred embodiments of the present invention, all changes made according to technical solution of the present invention, caused function are made
During with scope without departing from technical solution of the present invention, protection scope of the present invention is belonged to.
Claims (3)
1. a kind of lead model method automatically based on monitoring system, it is characterised in that：Comprise the following steps,
Graphic file by all feeder lines of generalized information system timing acquisition prefectures and cities of S1, monitoring system, model file information；
S2, the graphic file by the picture file translation of CIM/SVG forms for CIM/G forms, CIM/XML forms model file turn
It is changed to CIM/E form model files；
S3, parsing CIM/E form model files, form memory file, related feeder line or regional information are registered, according to feeder line or ground
Corresponding feeder line or the former CIM/E forms model file in area in area information called data storehouse, and be compared, form difference module
Type file pair：Forward.CIME, Backward.CIME, and increment modification is carried out to database.
2. according to claim 1 lead model method automatically based on monitoring system, it is characterised in that：The step S1
In, monitoring system is that graphic file, the model file information of all feeder lines of prefectures and cities are obtained by way of FTP.
3. according to claim 1 lead model method automatically based on monitoring system, it is characterised in that：The step S2 it
Before, also need to check model file, including：Grammer is checked, and verifies the language that power distribution network object is expressed in unusual fluctuation model file
Method whether specification, whether attribute complete, and the object of association whether there is；Name verification, verifies Distribution Network Equipment in unusual fluctuation model
Name whether meet specification；Topology verification, verify that the topological relation of Distribution Network Equipment in unusual fluctuation model whether there is problem.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710539956.2A CN107391617A (en) | 2017-07-05 | 2017-07-05 | Model method is led based on monitoring system automatically |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710539956.2A CN107391617A (en) | 2017-07-05 | 2017-07-05 | Model method is led based on monitoring system automatically |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107391617A true CN107391617A (en) | 2017-11-24 |
Family
ID=60335061
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710539956.2A Pending CN107391617A (en) | 2017-07-05 | 2017-07-05 | Model method is led based on monitoring system automatically |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107391617A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110768247A (en) * | 2019-10-28 | 2020-02-07 | 国网福建省电力有限公司 | Main and distribution network model splicing method based on distribution automation main station |
| CN112231328A (en) * | 2020-10-13 | 2021-01-15 | 国网安徽省电力有限公司安庆供电公司 | Distribution network topology information and GIS information mapping and proofreading method based on artificial intelligence |
| CN112580178A (en) * | 2020-12-26 | 2021-03-30 | 广东电网有限责任公司电力调度控制中心 | Graph-model bidirectional verification method and device for energy management system |
| CN113297157A (en) * | 2020-02-24 | 2021-08-24 | 长鑫存储技术有限公司 | Machine file processing method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100097662A1 (en) * | 2008-10-20 | 2010-04-22 | John Eric Churilla | System and method for scanning and processing printed media |
| CN102262758A (en) * | 2011-08-17 | 2011-11-30 | 国电南瑞科技股份有限公司 | Method for unified modeling and management of space-time multidimensional power grid model based on CIME (certified internet marketing engineer) file |
| CN102521451A (en) * | 2011-12-13 | 2012-06-27 | 华东电网有限公司 | Power grid model file for supporting fast model splicing, generation method and system thereof |
| CN103294568A (en) * | 2013-06-24 | 2013-09-11 | 国家电网公司 | Distribution network model incremental storage method based on E language |
| CN104361105A (en) * | 2014-11-28 | 2015-02-18 | 国家电网公司 | Power distribution network model and topology checking method based on ontology reasoning |
| CN105184673A (en) * | 2015-08-31 | 2015-12-23 | 国家电网公司 | Power distribution network graph/ model file visualized offline checking method |
-
2017
- 2017-07-05 CN CN201710539956.2A patent/CN107391617A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100097662A1 (en) * | 2008-10-20 | 2010-04-22 | John Eric Churilla | System and method for scanning and processing printed media |
| CN102262758A (en) * | 2011-08-17 | 2011-11-30 | 国电南瑞科技股份有限公司 | Method for unified modeling and management of space-time multidimensional power grid model based on CIME (certified internet marketing engineer) file |
| CN102521451A (en) * | 2011-12-13 | 2012-06-27 | 华东电网有限公司 | Power grid model file for supporting fast model splicing, generation method and system thereof |
| CN103294568A (en) * | 2013-06-24 | 2013-09-11 | 国家电网公司 | Distribution network model incremental storage method based on E language |
| CN104361105A (en) * | 2014-11-28 | 2015-02-18 | 国家电网公司 | Power distribution network model and topology checking method based on ontology reasoning |
| CN105184673A (en) * | 2015-08-31 | 2015-12-23 | 国家电网公司 | Power distribution network graph/ model file visualized offline checking method |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110768247A (en) * | 2019-10-28 | 2020-02-07 | 国网福建省电力有限公司 | Main and distribution network model splicing method based on distribution automation main station |
| CN110768247B (en) * | 2019-10-28 | 2022-12-06 | 国网福建省电力有限公司 | Main and distribution network model splicing method based on distribution automation main station |
| CN113297157A (en) * | 2020-02-24 | 2021-08-24 | 长鑫存储技术有限公司 | Machine file processing method and system |
| CN113297157B (en) * | 2020-02-24 | 2024-06-07 | 长鑫存储技术有限公司 | Machine file processing method and processing system |
| CN112231328A (en) * | 2020-10-13 | 2021-01-15 | 国网安徽省电力有限公司安庆供电公司 | Distribution network topology information and GIS information mapping and proofreading method based on artificial intelligence |
| CN112580178A (en) * | 2020-12-26 | 2021-03-30 | 广东电网有限责任公司电力调度控制中心 | Graph-model bidirectional verification method and device for energy management system |
| CN112580178B (en) * | 2020-12-26 | 2022-02-11 | 广东电网有限责任公司电力调度控制中心 | Graph-model bidirectional verification method and device for energy management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101937435B (en) | Online synchronized method of distributed real-time database confronting power system | |
| US20080195576A1 (en) | Method, and Computer Based-System and Virtual Asset Register | |
| EP2429126B1 (en) | Systems and methods for the configuration of substation remote terminals with a central controller | |
| CN107391617A (en) | Model method is led based on monitoring system automatically | |
| CN102957205B (en) | A kind of method and system setting up electricity distribution network model | |
| CN107656749A (en) | A kind of device version management-control method and device | |
| CN104133443A (en) | Method for automatically generating power grid dispatching operation order through power grid overhaul application forms | |
| CN109992571A (en) | A kind of intelligent substation configuration file line closed loop check system and method for calibration | |
| CN108320104B (en) | Method for realizing protection fixed value on-line verification function obtaining model based on RelayCAC relay protection setting software | |
| CN108229799A (en) | A kind of multi-source heterogeneous operation of power networks real-time data imputing system system and method | |
| CN110989547A (en) | Detection method and system for intelligent substation one-key sequence control system | |
| CN106910143A (en) | Power distribution network artwork multi-edition control method and system | |
| KR20180035095A (en) | Operation system applicable to distribution network and various type microgrid | |
| CN110611312A (en) | On-line simulation system and method for panoramic data of substation bay level | |
| Hargreaves et al. | Foundations of a metamodel repository for use with the IEC common information model | |
| CN106982140A (en) | A kind of information flow emulation mode and system | |
| CN104112183B (en) | The intelligent scheduling model management system and management method of intelligent substation plug and play | |
| CN102185381A (en) | Method for processing SCD (substation configuration description) iteration of SCD model during automatic switching | |
| Kokai et al. | Recent development in open systems for EMS/SCADA | |
| CN103544345A (en) | Intelligent anti-misoperation simulation system of operation tickets | |
| CN102957206B (en) | Many granularities off-line model joining method of smart grid-oriented | |
| CN105447653A (en) | Model-based power business information resource coding method | |
| US8355806B2 (en) | Information control system and information control method | |
| CN109992497A (en) | A kind of distribution power automation terminal standard testing use-case updates the method and system of publication | |
| CN103577563B (en) | A kind of transformer station model moving method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171124 |