CN110222985A - Economic factor analysis and evaluation system and operating method based on electricity consumption big data - Google Patents
Economic factor analysis and evaluation system and operating method based on electricity consumption big data Download PDFInfo
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- 238000004458 analytical method Methods 0.000 claims abstract description 82
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- 238000012545 processing Methods 0.000 claims description 21
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Abstract
The invention discloses a kind of economic factor analysis and evaluation system based on electricity consumption big data, it includes: that data prediction subsystem is connect with index system management subsystem and configuration management subsystem；Index system management subsystem is connect with interaction prediction subsystem and configuration management subsystem；Interaction prediction subsystem is connect with early warning analysis subsystem and configuration management subsystem；Early warning analysis subsystem is connect with configuration management subsystem；Configuration management subsystem: configuration management subsystem is uniformly controlled and is adjusted to data prediction subsystem, index system management subsystem, interaction prediction subsystem and early warning analysis subsystem；Solve method and not simple and clear etc. enough technical problems of result that the prior art is associated analysis by electric power big data and economy class data.
Description
Technical field
The present invention relates to economic evaluation and electric system more particularly to a kind of economic factor analysis based on electricity consumption big data
With evaluation system and operating method.
Background technique
In the development process of electricity economics, being introduced into for electricity consumption big data is to be seen in power economy subject by electric power
The important supplement of this economic subdiscipline and perfect, has started newer research form.Electric power data and economy class data
Quantity be it is huge, electric power big data is that multi-angle carries out from many aspects when being associated analysis with economy class data, therefore
It is multiplicity for probing into for mutual incidence relation, is currently associated by electric power big data and economy class data
The method of analysis and result are not simple and clear enough.To can make full use of the value contained in electricity consumption big data, need to it
More fully analysis is carried out to probe into.Its potential value is lacked to dig, extracts high reliability information, and can be by these useful letters
The reasonable arrangement of breath, is presented to user with straightaway form.
Summary of the invention
When the technical problem to be solved in the present invention: a kind of economic factor analysis based on electricity consumption big data being provided and evaluation is
System and operating method, the method and result of analysis are associated to solve the prior art by electric power big data and economy class data
Not simple and clear etc. enough technical problems.
The technical scheme is that:
A kind of economic factor analysis and evaluation system based on electricity consumption big data, it includes:
Data prediction subsystem: it is made of data type selected section, data character selected section；Data type selection
The data type of input is analyzed in part, and the data that judgement belongs to electric power level still fall within the data of economic level；Number
According to property selected section classified to the format of the data of input system: being that structural data are then put into corresponding index frame
It is spare in frame；If the data of input do not meet structural data format, call web crawler to picture or PDF property
Data extract processing, further obtain structural data, place into spare in corresponding index system；At data
After reason is complete, then enter the electricity consumption big data that electricity consumption big data building part is directed to analysis target according to index building；With index
System management subsystem is connected with configuration management subsystem；
Index system management subsystem: coupling index system part, industry level coupling index body including enterprise level
Pastern door, industrial level coupling index body portion, the coupling index system part GDP and index display portion；Index system management
Subsystem stores the index classification being related to during each analysis object analysis, the energy when carrying out data processing and data are analyzed
It enough recalls and compares use；Each index is made of economic level and electric power level two parts, and each analysis object is corresponding
Index also respectively includes electric power level and economic level two large divisions；Index display portion is responsible for choosing target analysis pair in user
Corresponding index is shown by forms such as charts as after；It is connect with interaction prediction subsystem and configuration management subsystem；
Interaction prediction subsystem includes industrial structure judgment part, analysis of Economic Development and predicted portions；The industrial structure is sentenced
Analysis evolution of objective status and development model are analyzed using per capita household electricity consumption benchmark line model as theoretical foundation disconnected part
Judgement；Economic analysis and predicted portions are then to construct panel to analysis target first in stationary test method as theoretical foundation
Data carry out unit root test to panel data, and test and judge whether there is the economic incidence relation of electric power-, and further progress is returned
Return analysis to carry out forecast analysis；It is connect with early warning analysis subsystem and configuration management subsystem；
Early warning analysis subsystem: including conclusion processing part and conclusion display portion；Early warning analysis subsystem to analysis at
It manages resulting result to carry out last processing and show arrangement, part is handled by conclusion and is handled resulting result is analyzed
Be presented as picture or table shows format；Resulting result presentation will be handled to user by conclusion display portion, and be used
Family can be by adjusting the format and emphasis that show content to the selection of conclusion display portion；Connect with configuration management subsystem
It connects；
Configuration management subsystem: configuration management subsystem is to data prediction subsystem, index system management subsystem, pass
Connection predicting subsystem and early warning analysis subsystem are uniformly controlled and are adjusted.
A kind of operating method of economic factor analysis and evaluation system based on electricity consumption big data, it includes:
(1) corresponding data are inputted economic factor analysis and Economic appraisal by input port；
(2) data prediction subsystem analyzes and determines data type with regard to data format, and wants to type mismatch conjunction
The data asked are excluded, and are carried out structuring processing to the undesirable data of format, are further constructed different analysis targets
Under multidimensional electricity consumption big data；
(3) index system management subsystem sets corresponding index under different analysis targets, and storage is in the database, with
It calls at any time；
(4) interaction prediction subsystem is theoretical using benchmark line model per capita and Causality Analysis, the production to analysis target
Industry structure and economic development form are analyzed, and are carried out in advance in the case where panel data meets the requirements to economic development situation
Survey analysis；
(5) early warning analysis subsystem handles resulting result to analysis and carries out pictorialization processing, while according to user demand
Analysis result is shown.
Beneficial effects of the present invention:
The present invention be using electricity consumption big data as data analysis foundation, using power economy theory as analysis means it is economical because
Element analysis and Economic appraisal.By excavating the high price value information contained in electricity consumption big data, to macroeconomy and production
The economic situation of the levels such as Ji, industrial economy is analyzed already, economic scene is evaluated, further to economic forecasting and rule
It draws and angularly proposes constructive suggestions.And by it with the intuitive expression-form such as picture, table and text by high price value information and
Data exhibiting is on interface, to provide convenience for user, the person of being convenient to use carry out economic situation understanding and carry out through
The prediction of situation that helps refers to；Solve method and knot that the prior art is associated analysis by electric power big data and economy class data
Not simple and clear etc. enough technical problems of fruit.
Detailed description of the invention:
Fig. 1 is present system composition schematic diagram.
Specific embodiment
By excavating the high price value information contained in electricity consumption big data when the object of the invention, to macroeconomy and industry
The economic situation of the levels such as economy, industrial economy is analyzed, economic scene is evaluated, further to economic forecasting and planning
Angularly propose constructive suggestions.And it is used the intuitive expression-form such as picture, table and text by high price value information and number
According to being presented on interface, to provide convenience for user, the person of being convenient to use carries out economic situation understanding and carries out economical
Prediction of situation reference.
The present invention is specific: data prediction subsystem, index system management subsystem, interaction prediction subsystem, early warning point
Analyse subsystem and configuration management subsystem.
The data prediction subsystem is made of data type selected section, data character selected section.Data type
Selected section mainly analyzes the data type of input, judges that it belongs to the data of electric power level and still falls within economic level
Data；Data character selected section, major function are to carry out preliminary classification to the format of the data of input system: if it is
Structural data are then put into spare in corresponding index system；If the data of input do not meet structural data format, adjust
Extract processing with data of the web crawler to properties such as picture, PDF, further obtain structural data, then by its
It is put into spare in corresponding index system；After data processing is complete, then needs to enter electricity consumption big data and construct part, according to
Electricity consumption big data of the index building for analysis target.
Coupling index system part of the index system management subsystem by enterprise level, industry level coupling index body
Pastern door, industrial level coupling index body portion, State-level (GDP) coupling index system part, index display portion composition.
From first and last, this system is exactly an achievement data library, the index classification being related to during major analysis object analysis
Storage shown can recall when carrying out data processing and data are analyzed and compare use.The corresponding index of each level by
Economic level and electric power level two parts are constituted, therefore the corresponding index of each analysis object also respectively includes electric power level and warp
Ji level two large divisions.Wherein index display portion, which is mainly responsible for, leads to corresponding index after user chooses target analyte
The forms such as chart are crossed to show.
The interaction prediction subsystem is made of industrial structure judgment part, analysis of Economic Development and predicted portions.Industry
Mould to analysis evolution of objective status and is developed mainly using per capita household electricity consumption benchmark line model as theoretical foundation in structure decision part
Formula (i.e. industrial structure composition) is analyzed and determined；Economic analysis and prediction module are then in stationary test method for theory
Foundation, constructs panel data to analysis target first, carries out unit root test to panel data.Whether co integration test etc. judges it
There are the economic incidence relation of electric power-, further progress regression analysis is to carry out forecast analysis.
The early warning analysis subsystem handles part by conclusion, conclusion display portion forms.This system handles institute to analysis
The result obtained carries out last processing and shows arrangement, handles part by conclusion and handles the resulting result of analysis, will
It is presented as the intuitives such as picture, table it is strong show format；By conclusion display portion, will handle resulting result presentation to
User, and user can be by adjusting the format and emphasis that show content to the selection of conclusion display portion.
The configuration management subsystem is to above data preprocessing subsystem, index system management subsystem, interaction prediction
Subsystem, early warning analysis subsystem four systems are uniformly controlled and are adjusted.
Steps are as follows for concrete operation method:
(1) corresponding data are inputted economic factor analysis and Economic appraisal by input port；
(2) system analyzes and determines data type with regard to data format, and closes desired data to type mismatch and carry out
It excludes, structuring processing is carried out to the undesirable data of format, further index constructs under different analysis targets
Multidimensional electricity consumption big data；
(3) in index system administrative section, corresponding index under different analysis targets is set, and is stored in the database,
It is called at any time with facilitating；
(4) interaction prediction part is theoretical using benchmark line model per capita and Causality Analysis, to the industry of analysis target
Structure and economic development form explication de texte, and economic development situation is predicted in the case where panel data meets the requirements
Analysis；
(5) early warning analysis part handles resulting result to analysis and carries out pictorialization processing, while according to user preferences, will
Analysis result is shown.
Claims (2)
1. a kind of economic factor analysis and evaluation system based on electricity consumption big data, it includes:
Data prediction subsystem: it is made of data type selected section, data character selected section；Data type selected section
The data type of input is analyzed, the data that judgement belongs to electric power level still fall within the data of economic level；It is Statistical
Matter selected section is classified to the format of the data of input system: being that structural data are then put into corresponding index system
It is spare；If the data of input do not meet structural data format, call web crawler to the number of picture or PDF property
According to processing is extracted, structural data is further obtained, is placed into spare in corresponding index system；When data processing is complete
Quan Hou then enters electricity consumption big data of the electricity consumption big data building part according to index building for analysis target；With index system
Management subsystem is connected with configuration management subsystem；
Index system management subsystem: coupling index system part, industry level coupling index system portion including enterprise level
Door, industrial level coupling index body portion, the coupling index system part GDP and index display portion；Index system manages subsystem
System stores the index classification being related to during each analysis object analysis, can adjust when carrying out data processing and data are analyzed
Use is compared out；Each index is made of economic level and electric power level two parts, the corresponding index of each analysis object
Also electric power level and economic level two large divisions are respectively included；Index display portion is responsible for after user chooses target analyte
Corresponding index is shown by forms such as charts；It is connect with interaction prediction subsystem and configuration management subsystem；
Interaction prediction subsystem includes industrial structure judgment part, analysis of Economic Development and predicted portions；Industrial structure judging part
Divide using per capita household electricity consumption benchmark line model as theoretical foundation, analysis is carried out to analysis evolution of objective status and development model and is sentenced
It is disconnected；Economic analysis and predicted portions are then to construct panel number to analysis target first in stationary test method as theoretical foundation
According to panel data progress unit root test, test and judge whether there is the economic incidence relation of electric power-, and further progress returns
Analysis is to carry out forecast analysis；It is connect with early warning analysis subsystem and configuration management subsystem；
Early warning analysis subsystem: including conclusion processing part and conclusion display portion；Early warning analysis subsystem handles institute to analysis
The result obtained carries out last processing and shows arrangement, carries out processing to the resulting result of analysis by conclusion processing part and shows
Show format for picture or table；Resulting result presentation will be handled to user by conclusion display portion, and user can
By adjusting the format and emphasis that show content to the selection of conclusion display portion；It is connect with configuration management subsystem；
Configuration management subsystem: configuration management subsystem is pre- to data prediction subsystem, index system management subsystem, association
It surveys subsystem and early warning analysis subsystem is uniformly controlled and is adjusted.
2. a kind of operating method of economic factor analysis and evaluation system based on electricity consumption big data as described in claim 1,
It includes:
(1) corresponding data are inputted economic factor analysis and Economic appraisal by input port；
(2) data prediction subsystem analyzes and determines data type with regard to data format, and closes requirement to type mismatch
Data are excluded, and are carried out structuring processing to the undesirable data of format, are further constructed under different analysis targets
Multidimensional electricity consumption big data；
(3) index system management subsystem sets corresponding index under different analysis targets, and stores in the database, at any time
It calls；
(4) interaction prediction subsystem is theoretical using benchmark line model per capita and Causality Analysis, to the industry knot of analysis target
Structure and economic development form are analyzed, and carry out prediction point to economic development situation in the case where panel data meets the requirements
Analysis；
(5) early warning analysis subsystem handles resulting result to analysis and carries out pictorialization processing, while will divide according to user demand
Analysis result is shown.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111832805A (en) * | 2020-06-06 | 2020-10-27 | 国网河北省电力有限公司衡水供电分公司 | Economic early warning analysis system and method based on electric power big data |
| CN114331308A (en) * | 2021-08-12 | 2022-04-12 | 国网安徽省电力有限公司蚌埠供电公司 | Self-trade district development analysis system based on electric big data and construction method thereof |
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| CN106485367A (en) * | 2016-10-26 | 2017-03-08 | 贵州电网有限责任公司电力科学研究院 | A kind of economic analysis platform based on the coupling of multiple enterprises electricity consumption data and Forecasting Methodology |
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Patent Citations (1)
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| CN106485367A (en) * | 2016-10-26 | 2017-03-08 | 贵州电网有限责任公司电力科学研究院 | A kind of economic analysis platform based on the coupling of multiple enterprises electricity consumption data and Forecasting Methodology |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111832805A (en) * | 2020-06-06 | 2020-10-27 | 国网河北省电力有限公司衡水供电分公司 | Economic early warning analysis system and method based on electric power big data |
| CN114331308A (en) * | 2021-08-12 | 2022-04-12 | 国网安徽省电力有限公司蚌埠供电公司 | Self-trade district development analysis system based on electric big data and construction method thereof |
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Inventor after: Zhang Qiuyan Inventor after: Song Qiang Inventor after: Zhang Junwei Inventor after: Ding Chao Inventor after: Shao Zheng Inventor after: Wang Duorun Inventor after: Li Shihua Inventor before: Zhang Qiuyan Inventor before: Song Qiang Inventor before: Zhang Junwei Inventor before: Ding Chao Inventor before: Shao Zheng |
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