CN106022961A - Power grid multi-system comprehensive model building method - Google Patents
Power grid multi-system comprehensive model building method Download PDFInfo
- Publication number
- CN106022961A CN106022961A CN201610339721.4A CN201610339721A CN106022961A CN 106022961 A CN106022961 A CN 106022961A CN 201610339721 A CN201610339721 A CN 201610339721A CN 106022961 A CN106022961 A CN 106022961A
- Authority
- CN
- China
- Prior art keywords
- model
- information table
- equipment
- data
- field
- 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 22
- 238000007726 management method Methods 0.000 claims abstract description 19
- 238000004519 manufacturing process Methods 0.000 claims abstract description 18
- 238000012795 verification Methods 0.000 claims abstract description 7
- 238000011156 evaluation Methods 0.000 claims abstract description 4
- 238000012544 monitoring process Methods 0.000 claims description 33
- 238000000605 extraction Methods 0.000 claims description 11
- 238000005516 engineering process Methods 0.000 claims description 10
- 230000000694 effects Effects 0.000 claims description 8
- 230000005611 electricity Effects 0.000 claims description 6
- 238000009826 distribution Methods 0.000 claims description 5
- 230000003993 interaction Effects 0.000 claims description 5
- 238000004382 potting Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 238000013517 stratification Methods 0.000 claims description 5
- 239000013589 supplement Substances 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 4
- 230000001131 transforming effect Effects 0.000 claims description 4
- 238000013480 data collection Methods 0.000 claims description 3
- 230000004927 fusion Effects 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 4
- 238000005457 optimization Methods 0.000 description 8
- 238000011161 development Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 230000002596 correlated effect Effects 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000007705 chemical test Methods 0.000 description 1
- 238000004587 chromatography analysis Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013524 data verification Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004141 dimensional analysis Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
Classifications
-
- 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
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention provides a power grid multi-system comprehensive model building method, which comprises steps of building a basic hierarchical model based on a production management system device model, hooking up a plurality of application system models under the basic model according to a principle of hierarchical extension, and finally forming a comprehensive model covering multiple systems of a power grid. Through real-time verification and task scheduling, suitability, correctness and integrity of the built comprehensive model are guaranteed, state evaluation analysis for power grid devices become more comprehensive, and technical requirements of an integrated power grid operation intelligent system (OS2) are satisfied at the same time.
Description
Technical field
The present invention relates to urban distribution network state estimation field of power based on big data analysis, particularly relate to electricity
Pessimistic concurrency control and Monitoring Data derive from the method for building up of aggregative model under multiple system situation.
Background technology
In the fast development process of electrical network scale and informatization, need for producing, assess, analyze, overhauling
Build many specialized service systems, the data such as grid operating monitoring trial defining magnanimity, but this
A little system Constructions exist and lack unified planning and the phenomenon such as coordination, function dispersion, different system distributed collection data,
, there is the problem such as model disunity, the shared difficulty of data interaction between system, formed in separate storage and maintenance management
Information island one by one.So it is difficult to adapt to the challenge that electrical network scale fast development brings, is difficult to improve data
Level of comprehensive utilization, and then can not quickly, comprehensively for controlling the operation of area power grid provide intelligent decision to prop up
Hold information.
In the face of alternating current-direct current series-parallel connection extensive, remote runs receiving end load center and many typhoons, the extreme gas of Strong Thunderstorm
Super-huge complex region electrical network under the conditions of as, existing grid equipment state estimation, due to based on single source
System data is carried out, such as production management system, on-line monitoring system, dispatch automated system, weather monitoring system
System etc..Even if a other system data of copy are to local once in a while, owing to not being associated merging and comprehensively build
Mould cannot directly use, and precision of analysis and reliability are the highest.
For preferably serving the sustainable development of electricity consumption user and national economy, carry out the big data of electric power and
The application in the grid equipment state estimation System Construction of megapolis of the key application technology, extensive to meet
Complex electric network efficient application is analyzed, and improves electrical network and equipment safety operation level.Under the conditions of thus solving bulk power grid
Each application system mass data integrated and shared, setting up electrical network multisystem aggregative model, to realize multi-source data many
Dimensional analysis seems extremely urgent.
The present invention is under National 863 planning item fund (2015AA050201) is subsidized, it is proposed that Yi Zhong electricity
Net multisystem aggregative model method for building up.
Summary of the invention
The technical problem to be solved is: overcomes in prior art and carries out based on single source system data
One-sidedness and the highest problem of accuracy rate and defect is there is, it is provided that Yi Zhong electricity during grid equipment state assessment analysis
Net multisystem aggregative model method for building up.
A kind of electrical network multisystem aggregative model method for building up, concrete steps include:
Step (1) obtains device model data from production management system, builds equipment basic layer model；
Step (2) obtains device model data from other dedicated application systems, constitutes operational monitoring model,
Same equipment is mated based on equipment global description by described dedicated application system with production management system；
Step (3), with equipment basic layer model as trunk, supplements other dedicated application systems to stratification
Operational monitoring model, sets up aggregative model；
Step (4) is based on the different ETL integrated technology of source application system Monitoring Data feature selection, it is achieved combine
Verification and the integrated fusion in real time of data in matched moulds type；
Step (5) defines an operation for each of the above step, according to operational definition in advance, by making
Industry scheduler realizes parallel pipeline and processes, and described operational definition includes extracting object, extraction opportunity, extraction mode.
As present invention further optimization scheme, other dedicated application systems described include production management system,
Dispatch automated system, power transmission and transforming equipment monitoring system, high-potting system, lightning monitoring system, meteorological prison
Examining system, electric energy quality monitoring system, distribution voltage monitoring system, state evaluation system.
As present invention further optimization scheme, step (1) described structure equipment basic layer model, be with
Production management system model be source systems build relevant information table, described relevant information table include central station table,
Power plant and substation's information table, line information table, POF information table, facility information table, parts table, category information table.
As present invention further optimization scheme, step (2) is described mates based on equipment global description,
The global description being correlated with including functions of the equipments position, asset of equipments, equipment appurtenance three-layer equipment, if source is professional
The functions of the equipments position that the object of system description refers to, then need and the functions of the equipments position in basic layer model
Mate；If the asset of equipments that the object that source professional system describes refers to, then need and basic layer model
In asset of equipments mate；If the equipment appurtenance that refers to of object that source professional system describes, then need with
Equipment appurtenance in basic layer model mates.
As present invention further optimization scheme, supplement other professional application systems to step (3) described stratification
The operational monitoring model of system, is included on basic layer model and merges in the distinctive Professional Model of each application system
Hold, real-time data collection, joint equipment model information is abandoned.
As present invention further optimization scheme, the described different ETL integrated technology of step (4) includes JMS
Message, WebService service, database-driven, file interaction, general stipulations, the real-time verification of data
Rule configuration is overlapped including grammer effect and model effect two.
As present invention further optimization scheme, step (5) described extracting object includes that all to relate to source special
The data of industry system, described extraction include opportunity the cycle, regularly, event trigger three kinds of modes, described extraction side
Formula includes all, filtercondition, three kinds of modes of increment.
As present invention further optimization scheme, described equipment basic layer model is by the common structure of relevant information table
Construction method is, according to CLASSIFY_ID field and the PSR_TYPE of POF information table of category information table
Field is equal, association category information table and POF information table, searches CLASSIFY_ID field type for becoming
Power station, circuit, functional area, device type region, interval, functions of the equipments position can respectively obtain functional position
Put respective type data in information table；Create new database table according to the record inquired, pass through PARENT_ID
Field sets up associating of levels with FUNCTION_LOCATION_ID field.
As present invention further optimization scheme, substation data note in the POF information table that inquiry obtains
The SITE_ID field of record is equal with the SUBSTATION_ID field of substation information table, increases in transformer station's table
Add POF description field FUNCTION_LOCATION_ID of transformer station, so set up functional area table and change
The association of power station table；Inquire about SITE_ID field and the line of track data record in the POF information table obtained
The LINE_ID field of road information table is equal, and the POF increasing circuit in circuit table describes information field
FUNCTION_LOCATION_ID, thus sets up associating of device type region table and circuit table.
Use the method for the invention, compared with prior art, achieve grid equipment state assessment analysis more
Comprehensive progress, it is achieved that multi-source system data integrated and shared, reached equipment health status in real time with
The effect of track, extends duration of service, the expense save Utilities Electric Co.'s equipment regular inspection, keeping in repair, changing,
Improve grid equipment O&M intelligent level.
Accompanying drawing explanation
Fig. 1 is electrical network multisystem aggregative model schematic diagram of the present invention.
Detailed description of the invention
With detailed description of the invention, present disclosure is described in further details below in conjunction with the accompanying drawings.
The present invention is by the following technical solutions:
Use Hierarchical Modeling Technology, based on production management system device model, set up a basic level mould
Type, then supplements to stratification other professional system operational monitoring models abundant, ultimately forms covering electrical network polyphyly
The aggregative model of system.
Hierarchical Model model based on once/secondary device model in production management system, by Level Expand
Principle mounts multiple application system model under basic model.Hierarchical Modeling Technology is the comprehensive mould of electrical network multisystem
The structure of type provides clear and definite path, by modeling in order, it is ensured that the suitability of built aggregative model, correctness
And integrity, it comprises the following steps:
A) from production management system, obtain device model data, build equipment basic layer model, see accompanying drawing 1
B) from other dedicated application systems, device model data are obtained.Dedicated application system and production management system
In same equipment is mated based on equipment global description.
C) with equipment basic layer model as trunk, Level Expand application Professional Model, it is achieved building of aggregative model
Vertical.
D) based on the ETL integrated technology that source application system Monitoring Data feature selection is different, it is achieved data real-time
Verification and integrated fusion.
E) operation is defined for each of the above step, according to operational definition (extracting object, extraction in advance
Opportunity, extraction mode), realize parallel pipeline by healthy and strong job scheduler and process.
Wherein said source professional system at least includes production management system, dispatch automated system, power transmission and transforming equipment
Monitoring system, high-potting system, lightning monitoring system, weather monitoring system, electric energy quality monitoring system,
Distribution voltage monitoring system, state evaluation system etc..
Wherein step a) farther includes: builds equipment basic layer model, is with production management system model
For source systems, central station table, power plant and substation's information table, line information table, POF information table, equipment believe
The relevant information tables such as breath table, parts table, category information table build jointly.Due to category information table
CLASSIFY_ID field is equal with the PSR_TYPE field of POF information table, association category information table and
POF information table, searching CLASSIFY_ID field type is transformer station, circuit, functional area, equipment
Type area, interval, functions of the equipments position can respectively obtain respective type data in POF information table.Its
Middle functional area table, device type region table, spacing sheet, functions of the equipments location tables are not deposited in original system
, create new database table according to the record that inquires, by PARENT_ID field with
FUNCTION_LOCATION_ID field sets up the association of levels.Substation data in POF information table
The SITE_ID field of record is equal with the SUBSTATION_ID field of substation information table, in transformer station's table
Increase POF description field FUNCTION_LOCATION_ID of transformer station, so set up functional area table
With associating of transformer station's table.The SITE_ID field of track data record in the POF information table that inquiry obtains
Equal with the LINE_ID field of line information table, the POF increasing circuit in circuit table describes information word
Section FUNCTION_LOCATION_ID.So set up associating of device type region table and circuit table.
Wherein step b) farther includes: based on equipment, global description mates, and at least includes functions of the equipments
The global description that position, asset of equipments, equipment appurtenance three-layer equipment are correlated with, if the description of source professional system is right
As if the functions of the equipments position referred to needs to mate with the functions of the equipments position in basic layer model, if source
The asset of equipments that refers to of object that professional system describes needs to carry out with the asset of equipments in basic layer model
Join, if the equipment appurtenance that the object that source professional system describes refers to needs attached with the equipment in basic layer model
Part mates.See that accompanying drawing 1, dispatch automated system metric data are belonging to the POF of equipment, so
Coupling dispatch automated system functions of the equipments position with in the basic layer model built by production management system
Functions of the equipments position.The online monitoring data monitoring that power transmission and transforming equipment on-line monitoring system gathers is to the equipment of liking
Or adnexa, so carry out with the facility information in the basic layer model of production management system structure and accessory information
Coupling.
Wherein step c) farther includes: Level Expand Professional Model refers to merge on basic layer model
Each application system distinctive Professional Model content, characteristic real-time data collection, gives for joint equipment model information
To abandon.Special content according to every class system carrys out extended model, as dispatch automated system model characteristic is opened up
Flutter information, the data of collection have flow data.On-line monitoring system model has the account information of secondary monitoring device,
The data gathered have the data of various primary equipment self-operating, as oil chromatography monitoring include H2, CO, CH4,
The component gas such as C2H6, C2H4, C2H2.The high-potting system system of having converged builds up the electricity of rear all devices
The characteristic data such as gas test, chemical test, infrared test, local discharge test.
Wherein step d) farther includes: different ETL integrated technologies at least includes JMS message, WebService
Service, database-driven, file interaction, general stipulations etc., data check at least includes grammer effect and model
Effect two overlaps rule configuration.Refresh Data frequency is high, such as electric network swim data, uses JMS mode to compare conjunction
Suitable, directly there is commercial storehouse in data, such as high-potting data ORACLE, directly uses database-driven mode.
It is provided that the data of general Web service can service basic unit by WebService.Plant stand Svg figure, dirty district
Scattergram can be by file interaction mode etc..Grammer effect include uniqueness, null value checking, codomain checking,
Incidence relation is verified.Model checking refers to verify integrity and the concordance of network model, it is ensured that the electrical network of maintenance
Model is available for professional application and analyzes module use.Ensure in data loading process by verification and data load
After, perform quality of data inspection work, the target of verification be true all data all have legitimacy, integrity,
Standardization, accuracy and uniqueness.
Wherein step e) farther includes: extracting object includes all data relating to source professional system.Take out
Include the opportunity of taking the cycle, regularly, event trigger three kinds of modes, extraction mode includes all, filtercondition, increasing
Measure three kinds of modes.What professional system data pick-up task distribution two nodes (active and standby) guarantees in each source accessed can
By property.
Embodiment described above only have expressed one embodiment of the present invention, and it describes more concrete and detailed,
But therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that, for this area
For those of ordinary skill, without departing from the inventive concept of the premise, it is also possible to make some deformation and improvement,
These broadly fall into protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be with claims
It is as the criterion.
Claims (9)
1. an electrical network multisystem aggregative model method for building up, it is characterised in that concrete steps include:
Step (1) obtains device model data from production management system, builds equipment basic layer model；
Step (2) obtains device model data from other dedicated application systems, constitutes operational monitoring model,
Same equipment is mated based on equipment global description by described dedicated application system with production management system；
Step (3), with equipment basic layer model as trunk, supplements other dedicated application systems to stratification
Operational monitoring model, sets up aggregative model；
Step (4) is based on the different ETL integrated technology of source application system Monitoring Data feature selection, it is achieved combine
Verification and the integrated fusion in real time of data in matched moulds type；
Step (5) defines an operation for each of the above step, according to operational definition in advance, by making
Industry scheduler realizes parallel pipeline and processes, and described operational definition includes extracting object, extraction opportunity, extraction mode.
A kind of electrical network multisystem aggregative model method for building up the most according to claim 1, it is characterised in that
Other dedicated application systems described include that the monitoring of production management system, dispatch automated system, power transmission and transforming equipment is
System, high-potting system, lightning monitoring system, weather monitoring system, electric energy quality monitoring system, distribution electricity
Pressure monitoring system, state evaluation system.
A kind of electrical network multisystem aggregative model method for building up the most according to claim 1, it is characterised in that
Step (1) described structure equipment basic layer model, is to build with production management system model for source systems
Relevant information table, described relevant information table includes central station table, power plant and substation's information table, line information table, functional position
Put information table, facility information table, parts table, category information table.
A kind of electrical network multisystem aggregative model method for building up the most according to claim 1, it is characterised in that
Step (2) is described mates based on equipment global description, including functions of the equipments position, asset of equipments, sets
The global description that standby adnexa three-layer equipment is relevant, if the functions of the equipments position that the object that source professional system describes refers to
Put, then need to mate with the functions of the equipments position in basic layer model；If source professional system describes
The asset of equipments that object refers to, then need to mate with the asset of equipments in basic layer model；If source is special
The equipment appurtenance that the object of industry system description refers to, then need to carry out with the equipment appurtenance in basic layer model
Join.
A kind of electrical network multisystem aggregative model method for building up the most according to claim 1, it is characterised in that
Supplement to step (3) described stratification the operational monitoring model of other dedicated application systems, be included in Primary layer
Merging each application system distinctive Professional Model content on secondary model, real-time data collection, for joint equipment mould
Type information is abandoned.
A kind of electrical network multisystem aggregative model method for building up the most according to claim 1, it is characterised in that
The described different ETL integrated technology of step (4) includes that JMS message, WebService service, data base drive
Dynamic, file interaction, general stipulations, the verification in real time of data includes that grammer effect and model effect two are overlapped rule and joined
Put.
A kind of electrical network multisystem aggregative model method for building up, it is characterised in that
Step (5) described extracting object includes that all data relating to source professional system, described extraction include opportunity
Cycle, regularly, event trigger three kinds of modes, described extraction mode includes all, filtercondition, increment three kinds
Mode.
A kind of electrical network multisystem aggregative model method for building up the most according to claim 3, it is characterised in that
Described equipment basic layer model by the common construction method of relevant information table is, according to category information table
CLASSIFY_ID field is equal with the PSR_TYPE field of POF information table, association category information table and
POF information table, searching CLASSIFY_ID field type is transformer station, circuit, functional area, equipment
Type area, interval, functions of the equipments position can respectively obtain respective type data in POF information table；Root
New database table is created, by PARENT_ID field and FUNCTION_LOCATION_ID according to the record inquired
Field sets up the association of levels.
A kind of electrical network multisystem aggregative model method for building up the most according to claim 8, it is characterised in that
The SITE_ID field of substation data record and substation information table in the POF information table that inquiry obtains
SUBSTATION_ID field equal, transformer station's table increases the POF description field of transformer station
FUNCTION_LOCATION_ID, so sets up associating of functional area table and transformer station's table；The merit that inquiry obtains
Can the LINE_ID field phase of the SITE_ID field of track data record and line information table in positional information table
Deng, the POF increasing circuit in circuit table describes information field FUNCTION_LOCATION_ID, by
This sets up associating of device type region table and circuit table.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610339721.4A CN106022961A (en) | 2016-05-20 | 2016-05-20 | Power grid multi-system comprehensive model building method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610339721.4A CN106022961A (en) | 2016-05-20 | 2016-05-20 | Power grid multi-system comprehensive model building method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106022961A true CN106022961A (en) | 2016-10-12 |
Family
ID=57095253
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610339721.4A Pending CN106022961A (en) | 2016-05-20 | 2016-05-20 | Power grid multi-system comprehensive model building method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106022961A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106971272A (en) * | 2017-03-31 | 2017-07-21 | 广东电网有限责任公司电力调度控制中心 | Synchronous system and method is operated between a kind of dispatching automation main preparation system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102360470A (en) * | 2011-10-14 | 2012-02-22 | 广东电网公司电力科学研究院 | Information matching method and system for electric power system |
| CN103995932A (en) * | 2014-05-22 | 2014-08-20 | 中国南方电网有限责任公司电网技术研究中心 | Unified modeling method employing generalized measuring transverse correlation mode |
| CN104143127A (en) * | 2014-07-18 | 2014-11-12 | 国家电网公司 | CIM-based three-diagram linkage processing method for distribution network |
| CN104616101A (en) * | 2015-01-19 | 2015-05-13 | 国家电网公司 | Integrated power grid resource model and construction and maintenance method |
-
2016
- 2016-05-20 CN CN201610339721.4A patent/CN106022961A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102360470A (en) * | 2011-10-14 | 2012-02-22 | 广东电网公司电力科学研究院 | Information matching method and system for electric power system |
| CN103995932A (en) * | 2014-05-22 | 2014-08-20 | 中国南方电网有限责任公司电网技术研究中心 | Unified modeling method employing generalized measuring transverse correlation mode |
| CN104143127A (en) * | 2014-07-18 | 2014-11-12 | 国家电网公司 | CIM-based three-diagram linkage processing method for distribution network |
| CN104616101A (en) * | 2015-01-19 | 2015-05-13 | 国家电网公司 | Integrated power grid resource model and construction and maintenance method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106971272A (en) * | 2017-03-31 | 2017-07-21 | 广东电网有限责任公司电力调度控制中心 | Synchronous system and method is operated between a kind of dispatching automation main preparation system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Deng et al. | From BIM to digital twins: A systematic review of the evolution of intelligent building representations in the AEC-FM industry. | |
| CN105894172B (en) | Combined power failure research and judgment method based on marketing and distribution fusion | |
| CN102545213B (en) | System and method for managing line loss of power grid in real time | |
| CN103995932A (en) | Unified modeling method employing generalized measuring transverse correlation mode | |
| CN103559562A (en) | Power grid intelligent operation system and achieving method thereof | |
| CN104933631A (en) | Power distribution network operation online analysis and evaluation system | |
| CN102608464A (en) | Modularized automatic test assembly system of rely protection device and test method of modularized automatic test assembly system | |
| CN103427417A (en) | Power distribution network fault processing method based on multi-source information fusion | |
| CN106022617A (en) | Inspection control system based on marketing multi-system data center | |
| CN105426980A (en) | Power distribution network health index assessment engineering application system | |
| CN104682560B (en) | Graphical verifying method for power distribution network model transaction | |
| CN109412155B (en) | Power distribution network power supply capacity evaluation method based on graph calculation | |
| CN105825314A (en) | Monitoring information analysis method and system based on centralized operation and maintenance mode | |
| CN106022961A (en) | Power grid multi-system comprehensive model building method | |
| Xueliang et al. | Study of power grid planning integrated information platform based on big-data technology | |
| Han et al. | Requirements analysis and application research of big data in power network dispatching and planning | |
| Jinghong et al. | An overview on cyber-physical systems of energy interconnection | |
| Zhang et al. | The Exploration and Application Research of Emerging Technologies in Operation and Maintenance of Large Power Grid Enterprises | |
| CN113269435B (en) | New energy station running state coupling monitoring and evaluating system | |
| Hao et al. | The application of electric power big data in distribution network planning management | |
| Zhang et al. | The application of BIM technology in project management of construction engineering from 3D to 6D | |
| Sun | The Application of BIM Technology in Cost Control of Prefabricated Buildings | |
| Yingqi et al. | Research on Automation System Framework and Key Technologies of Regional Integration Dispatching | |
| Wang et al. | Research on Fault Diagnosis Platform of Distribution Network Based on Multi-source Data Fusion | |
| Li et al. | Visual Monitoring of Power Failure Based on GIS and UE4 Technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20161012 |
|
| WD01 | Invention patent application deemed withdrawn after publication |