CN109493118A - A kind of power grid enterprises' market competitiveness Visual evaluation model building method and system - Google Patents
A kind of power grid enterprises' market competitiveness Visual evaluation model building method and system Download PDFInfo
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- CN109493118A CN109493118A CN201811210587.3A CN201811210587A CN109493118A CN 109493118 A CN109493118 A CN 109493118A CN 201811210587 A CN201811210587 A CN 201811210587A CN 109493118 A CN109493118 A CN 109493118A
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- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
Abstract
The present invention provides a kind of power grid enterprises' market competitiveness Visual evaluation model building method and system, element of resource and development factors related data including collecting power grid enterprises；It is analyzed using Situation Awareness demand analysis method, carries out data prediction and data integration to data are collected；The knowledge connection analysis engine between element of resource and the data of development factors is established, and then carries out knowledge data extraction, obtains the statistic for receiver data in room and time dimension, is supported for subsequent Situation Awareness；The data of element of resource and development factors to perception needed for target are collected；Element of resource data and development factors data are carried out to the visual presentation of chart using visualization technique；Situation Awareness result is interacted with the visualization view of the statistical data, realize situation visualization, can real-time exhibition power grid enterprises market competitiveness situation and prediction power grid enterprises' future competition state, for manager formulation competitive strategy foundation is provided, practicability is higher.
Description
Technical field
The present invention relates to electrical network fields, more particularly to a kind of power grid enterprises' market competitiveness Visual evaluation model construction
Method and system.
Background technique
Under new round power system reform background, electricity market main body will show diversification pattern, Electricity Market Competition
Property gradually will show and be growing more intense.Power grid enterprises need to integrate existing resource outfit, of overall importance to marketing total strategy progress,
Long-term and essence layout.The present invention evaluates power grid enterprises' market competitiveness, and is visualized, and is company
Effective configuration that resource is carried out during market competition is provided decision support.
Summary of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of power grid enterprises' market competitiveness Visual evaluation model construction side
Method and system study power grid enterprises' market competition situation under competitive electric power market by combing competitive electric power market,
Power grid enterprises' market competitiveness comprehensive evaluation model is constructed, power grid enterprises' market competition situation is quantitatively evaluated and is visualized
It shows.
Technical solution of the present invention:
A kind of power grid enterprises' market competitiveness Visual evaluation model building method, includes the following steps:
A, the element of resource and development factors related data of power grid enterprises are collected；
B, it is analyzed using Situation Awareness demand analysis method, carries out data prediction and data integration to data are collected,
The data prediction includes extracting initial data based on Data Preprocessing Technology, carrying out data cleansing and Data Format Transform,
The data integration includes carrying out storing classifiedly sum number according to element of resource and development factors by data based on Data Integration
According to duplicate removal processing and data relation analysis；
C, the knowledge connection analysis engine between element of resource and the data of development factors is established, and then carries out knowledge data
It extracts, obtains the statistic for receiver data in room and time dimension, supported for subsequent Situation Awareness；It is perceived to needed for target
Element of resource and the data of development factors be collected；
D, element of resource data and development factors data are carried out to the visual presentation of chart using visualization technique；
E, Situation Awareness result is interacted with the visualization view of the statistical data, realizes situation visualization, establishes electricity
Net market competitiveness of enterprises Visual evaluation model；The situation visualization is by element of resource data visualization, development factors
Data visualization, and then the evaluation index that can characterize power grid enterprises' competitiveness is formed, to obtain the various elements of power grid enterprises
Information and power grid enterprises' future competition state is predicted, and power grid enterprises' market competitiveness situation is opened up in real time
Show.
Data prediction is successively carried out according to the result of Situation Awareness demand analysis described in step B and data integration is specially
Data prediction and data integration are successively carried out by the way of data-interface acquisition or database access or tool acquisition.
The data cleansing is based on database SQL and carries out data check, include whether zero data verification and whether wrong lattice
Data, are stored in volatile data base by formula verification after the completion of data cleansing；The Data Format Transform will be put after the completion of cleaning
The data entered in volatile data base are formatted according to data structure needed for Situation Awareness, the content packet of the format conversion
Include date format processing, decimal processing and ranks conversion.
Situation Awareness described in step E interacts competing including evaluation power grid enterprises' Vehicles Collected from Market with the visualization view of statistical data
It strives situation and is predicted, evaluation power grid enterprises Vehicles Collected from Market race condition is by comparing power grid enterprises in electricity market
Resource distribution ratio and operation and development dataset obtain, and carry out correlation point to competitiveness combined influence degree to all data
Analysis, prediction power grid enterprises market forces situation pass through Time Series Analysis Forecasting power grid enterprises state sexual competition element and development
Sexual competition factor data trend, and then predict the occupation rate of market and comprehensive market competitiveness of power grid enterprises.
The visualization of situation described in step E includes passing through state element competitiveness situation and expansionary element competitiveness shape
It is embodied in terms of condition two, power resources, distribution resource and the anti-three indexs visualization reflection current state element of user resources are competing
Power situation is striven, reflects security risk development by three sale of electricity service ability, electric service ability and value-added service ability indexs
Situation.
A kind of power grid enterprises' market competitiveness Visual evaluation model construction system, including sequentially connected Situation Awareness need
Ask analysis module, data prediction and integration module, knowledge connection analysis and knowledge extraction module, visualized data module, state
Gesture perception and visualization view interactive module and situation visualization model, the Situation Awareness requirement analysis module is according to power grid
Enterprise's fellow peers' evaluation evaluation index carries out Situation Awareness demand analysis, and the Situation Awareness demand analysis includes to sense needed for target
The data of the element of resource and development factors known are collected；The data prediction and integration module are according to Situation Awareness demand
The result of analysis successively carries out data prediction and data integration, and the data prediction includes being taken out based on Data Preprocessing Technology
It takes initial data, carry out data cleansing and Data Format Transform, the data integration includes being based on Data Integration for data
It is stored classifiedly and data duplicate removal processing and data relation analysis according to element of resource and development factors；The knowledge connection
Analysis and knowledge extraction module establish the knowledge connection analysis engine between element of resource and the data of development factors, and then carry out
Knowledge data is extracted, and the statistic for receiver data in room and time dimension are obtained, and is supported for subsequent Situation Awareness；It is described can
The visual presentation for using visualization technique for every integrated data progress chart depending on changing data module；The Situation Awareness with can
It is interacted based on the hierarchical nature of Situation Awareness with visualization view circulation depending on changing view interactive module；The situation visualization model
By element of resource data visualization, development factors data visualization, and then formation can characterize power grid enterprises' market competitiveness shape
The evaluation index of condition is established power grid enterprises' market competitiveness Visual evaluation model, is commented with obtaining power grid enterprises' market competitiveness
Valence indication information and the race condition in power grid enterprises' future is predicted, and power grid enterprises' market competitiveness situation is carried out
It shows in real time.
Compared with prior art, the beneficial effects of the present invention are: 1. by data access, it can use Situation Awareness demand
Analysis is automatic to carry out data prediction and data integration, using visual technical approach by element of resource data and development factors
Data are visualized.
2. forming the evaluation of power grid enterprises' competitiveness by element of resource data visualization, development factors data visualization
Index, can real-time exhibition power grid enterprises market competitiveness situation and prediction power grid enterprises' future competition state, be manager
It formulates competitive strategy and foundation is provided, practicability is higher.
Detailed description of the invention
Fig. 1 is system block diagram of the invention；
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, the present invention provides a kind of technical solution:
A kind of power grid enterprises' market competitiveness Visual evaluation model building method, includes the following steps:
A, the element of resource and development factors related data of power grid enterprises are collected；
B, it is analyzed using Situation Awareness demand analysis method, carries out data prediction and data integration to data are collected,
The data prediction includes extracting initial data based on Data Preprocessing Technology, carrying out data cleansing and Data Format Transform,
The data integration includes carrying out storing classifiedly sum number according to element of resource and development factors by data based on Data Integration
According to duplicate removal processing and data relation analysis；
C, the knowledge connection analysis engine between element of resource and the data of development factors is established, and then carries out knowledge data
It extracts, obtains the statistic for receiver data in room and time dimension, supported for subsequent Situation Awareness；It is perceived to needed for target
Element of resource and the data of development factors be collected；
D, element of resource data and development factors data are carried out to the visual presentation of chart using visualization technique；
E, Situation Awareness result is interacted with the visualization view of the statistical data, realizes situation visualization, establishes electricity
Net market competitiveness of enterprises Visual evaluation model；The situation visualization is by element of resource data visualization, development factors
Data visualization, and then the evaluation index that can characterize power grid enterprises' competitiveness is formed, to obtain the various elements of power grid enterprises
Information and power grid enterprises' future competition state is predicted, and power grid enterprises' market competitiveness situation is opened up in real time
Show.
Data prediction is successively carried out according to the result of Situation Awareness demand analysis described in step B and data integration is specially
Data prediction and data integration are successively carried out by the way of data-interface acquisition or database access or tool acquisition.
The data cleansing is based on database SQL and carries out data check, include whether zero data verification and whether wrong lattice
Data, are stored in volatile data base by formula verification after the completion of data cleansing；The Data Format Transform will be put after the completion of cleaning
The data entered in volatile data base are formatted according to data structure needed for Situation Awareness, the content packet of the format conversion
Include date format processing, decimal processing and ranks conversion.
Situation Awareness described in step E interacts competing including evaluation power grid enterprises' Vehicles Collected from Market with the visualization view of statistical data
It strives situation and is predicted, evaluation power grid enterprises Vehicles Collected from Market race condition is by comparing power grid enterprises in electricity market
Resource distribution ratio and operation and development dataset obtain, and carry out correlation point to competitiveness combined influence degree to all data
Analysis, prediction power grid enterprises market forces situation pass through Time Series Analysis Forecasting power grid enterprises state sexual competition element and development
Sexual competition factor data trend, and then predict the occupation rate of market and comprehensive market competitiveness of power grid enterprises.
The visualization of situation described in step E includes passing through state element competitiveness situation and expansionary element competitiveness shape
It is embodied in terms of condition two, power resources, distribution resource and the anti-three indexs visualization reflection current state element of user resources are competing
Power situation is striven, reflects security risk development by three sale of electricity service ability, electric service ability and value-added service ability indexs
Situation.
A kind of power grid enterprises' market competitiveness Visual evaluation model construction system, including sequentially connected Situation Awareness need
Ask analysis module, data prediction and integration module, knowledge connection analysis and knowledge extraction module, visualized data module, state
Gesture perception and visualization view interactive module and situation visualization model, the Situation Awareness requirement analysis module is according to power grid
Enterprise's fellow peers' evaluation evaluation index carries out Situation Awareness demand analysis, and the Situation Awareness demand analysis includes to sense needed for target
The data of the element of resource and development factors known are collected；The data prediction and integration module are according to Situation Awareness demand
The result of analysis successively carries out data prediction and data integration, and the data prediction includes being taken out based on Data Preprocessing Technology
It takes initial data, carry out data cleansing and Data Format Transform, the data integration includes being based on Data Integration for data
It is stored classifiedly and data duplicate removal processing and data relation analysis according to element of resource and development factors；The knowledge connection
Analysis and knowledge extraction module establish the knowledge connection analysis engine between element of resource and the data of development factors, and then carry out
Knowledge data is extracted, and the statistic for receiver data in room and time dimension are obtained, and is supported for subsequent Situation Awareness；It is described can
The visual presentation for using visualization technique for every integrated data progress chart depending on changing data module；The Situation Awareness with can
It is interacted based on the hierarchical nature of Situation Awareness with visualization view circulation depending on changing view interactive module；The situation visualization model
By element of resource data visualization, development factors data visualization, and then formation can characterize power grid enterprises' market competitiveness shape
The evaluation index of condition is established power grid enterprises' market competitiveness Visual evaluation model, is commented with obtaining power grid enterprises' market competitiveness
Valence indication information and the race condition in power grid enterprises' future is predicted, and power grid enterprises' market competitiveness situation is carried out
It shows in real time.
Power grid enterprises' market competitiveness Visual evaluation model building method provided by the invention, first, in accordance with power grid enterprises
Fellow peers' evaluation assesses target and carries out Situation Awareness demand analysis, successively carries out data further according to the result of Situation Awareness demand analysis
Pretreatment and data integration are established the knowledge connection analysis engine between element of resource and the data of development factors, and then are carried out
Knowledge data extract, obtain the statistic for receiver data in room and time dimension, using visualization technique by element of resource data,
Development factors data and statistic for receiver data carry out the visual presentation of chart, and Situation Awareness is interacted with visualization view, real
The visual presentation of existing power grid enterprises' market competitiveness, establishes power grid enterprises' market competitiveness Visual evaluation model.
The present invention is handled according to the result of Situation Awareness demand analysis by data prediction and data integration, and data are completed
Situational awareness techniques are applied to power grid industry, improve modeling accuracy and modeling efficiency by pretreatment；By to identical, similar
Data establish knowledge connection analysis engine, the letter of power grid enterprises' state element and expansionary element indices can be understood
Breath extracts statistic for receiver data by the analysis that carries out of knowledge connection analysis engine one by one, supports for subsequent Situation Awareness；
It is extracted by the association between factor data, knowledge, obtains statistical information of every factor data in room and time dimension,
Every statistical data is carried out to the visual presentation of chart, improves power grid enterprises' visualization level, manager can be more intuitive, fast
Speed understand show power grid enterprises the race condition in every essential elements of evaluation, for policymaker formulation market competition strategy provide according to
According to.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (6)
1. a kind of power grid enterprises' market competitiveness Visual evaluation model building method, it is characterised in that: include the following steps:
A, the element of resource and development factors related data of power grid enterprises are collected；
B, it is analyzed using Situation Awareness demand analysis method, carries out data prediction and data integration to data are collected, it is described
Data prediction includes extracting initial data based on Data Preprocessing Technology, carrying out data cleansing and Data Format Transform, described
Data integration includes storing classifiedly data according to element of resource and development factors based on Data Integration to go with data
Processing and data relation analysis again；
C, the knowledge connection analysis engine between element of resource and the data of development factors is established, and then carries out knowledge data and mentions
It takes, obtains the statistic for receiver data in room and time dimension, supported for subsequent Situation Awareness；To perception needed for target
The data of element of resource and development factors are collected；
D, element of resource data and development factors data are carried out to the visual presentation of chart using visualization technique；
E, Situation Awareness result is interacted with the visualization view of the statistical data, realizes situation visualization, establish power grid enterprise
Industry market competitiveness Visual evaluation model；The situation visualization is by element of resource data visualization, development factors data
Visualization, and then the evaluation index that can characterize power grid enterprises' competitiveness is formed, to obtain the information of the various elements of power grid enterprises
And power grid enterprises' future competition state is predicted, and power grid enterprises' market competitiveness situation is shown in real time.
2. power grid enterprises' market competitiveness Visual evaluation model building method according to claim 1, which is characterized in that
Data prediction is successively carried out according to the result of Situation Awareness demand analysis in the step B and data integration is specially to use number
Data prediction and data integration are successively carried out according to the mode of interface acquisition or database access or tool acquisition.
3. power grid enterprises' market competitiveness Visual evaluation model building method according to claim 2, which is characterized in that
In the step B data cleansing be based on database SQL carry out data check, include whether zero data verification and whether error format
Data are stored in volatile data base by verification after the completion of data cleansing；The Data Format Transform will be put into after the completion of cleaning
Data in volatile data base are formatted according to data structure needed for Situation Awareness, and the content of the format conversion includes
Date format processing, decimal processing and ranks conversion.
4. power grid enterprises' market competitiveness Visual evaluation model building method according to any one of claims 1 to 3, special
Sign is that the step E Situation Awareness interacts competing including evaluation power grid enterprises' Vehicles Collected from Market with the visualization view of statistical data
It strives situation and is predicted, evaluation power grid enterprises Vehicles Collected from Market race condition is by comparing power grid enterprises in electricity market
Resource distribution ratio and operation and development dataset obtain, and carry out correlation point to competitiveness combined influence degree to all data
Analysis, prediction power grid enterprises market forces situation pass through Time Series Analysis Forecasting power grid enterprises state sexual competition element and development
Sexual competition factor data trend, and then predict the occupation rate of market and comprehensive market competitiveness of power grid enterprises.
5. power grid enterprises' market competitiveness Visual evaluation model building method according to claim 1, which is characterized in that
The situation visualization of the step E includes by two aspect of state element competitiveness situation and expansionary element competitiveness situation
It embodies, power resources, distribution resource and the anti-three indexs visualization reflection current state element competitiveness situation of user resources,
Reflect security risk developing state by three sale of electricity service ability, electric service ability and value-added service ability indexs.
6. a kind of power grid enterprises' market competitiveness Visual evaluation model construction system, which is characterized in that including sequentially connected
Situation Awareness requirement analysis module, data prediction and integration module, knowledge connection analysis and knowledge extraction module, visualization number
According to module, Situation Awareness and visualization view interactive module and situation visualization model, the Situation Awareness demand analysis mould
Block carries out Situation Awareness demand analysis according to power grid enterprises' fellow peers' evaluation evaluation index, and the Situation Awareness demand analysis includes pair
The data of the element of resource and development factors that perceive needed for target are collected；The data prediction and integration module are according to state
The result of gesture perception demand analysis successively carries out data prediction and data integration, and the data prediction includes pre- based on data
Processing technique extracts initial data, carries out data cleansing and Data Format Transform, and the data integration includes being based on data integration
Technology stores classifiedly data and data duplicate removal processing and data relation analysis according to element of resource and development factors；Institute
The knowledge connection analysis that knowledge connection is analyzed and knowledge extraction module is established between element of resource and the data of development factors is stated to draw
It holds up, and then carries out knowledge data extraction, obtain the statistic for receiver data in room and time dimension, make for subsequent Situation Awareness
Support；Every integrated data is carried out the visual presentation of chart using visualization technique by the visualized data module；It is described
Situation Awareness is interacted based on the hierarchical nature of Situation Awareness with visualization view circulation with visualization view interactive module；The state
Gesture visualization model is by element of resource data visualization, development factors data visualization, and then formation can characterize power grid enterprises
The evaluation index of market competitiveness situation establishes power grid enterprises' market competitiveness Visual evaluation model, to obtain power grid enterprises
Market competitiveness evaluation index information and the race condition in power grid enterprises' future is predicted, and power grid enterprises market is competing
Power situation is striven to be shown in real time.
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| CN110147962A (en) * | 2019-05-23 | 2019-08-20 | 国网上海市电力公司经济技术研究院 | Power network development path generating method based on space and time difference |
| CN110472298A (en) * | 2019-07-23 | 2019-11-19 | 南方电网科学研究院有限责任公司 | Construction method, device, equipment and the storage medium of electricity market model |
| CN110689241A (en) * | 2019-09-12 | 2020-01-14 | 国网上海市电力公司 | Power grid physical asset evaluation system based on big data |
| CN112598228A (en) * | 2020-12-07 | 2021-04-02 | 深圳价值在线信息科技股份有限公司 | Enterprise competitiveness analysis method, device, equipment and storage medium |
| CN113327007A (en) * | 2021-04-20 | 2021-08-31 | 国网能源研究院有限公司 | Priority determination method and system suitable for energy enterprise platform service development |
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