CN107679634A - A kind of method that power supply trouble based on data visualization reports analysis and prediction for repairment - Google Patents
A kind of method that power supply trouble based on data visualization reports analysis and prediction for repairment Download PDFInfo
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- CN107679634A CN107679634A CN201711017732.1A CN201711017732A CN107679634A CN 107679634 A CN107679634 A CN 107679634A CN 201711017732 A CN201711017732 A CN 201711017732A CN 107679634 A CN107679634 A CN 107679634A
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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
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- 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
- G06F16/26—Visual data mining; Browsing structured data
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- 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
- G06F16/29—Geographical information databases
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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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
- G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a kind of method that power supply trouble based on data visualization reports analysis and prediction for repairment,Imported in the system platform of C/S frameworks and sort out effective power data,Diversification statistical analysis is carried out to these effective power datas,To these, different analysis results is screened,Remove and deviate some larger results,Accurately effective power data is obtained to be associated with troublshooting distribution and report the relation and weight distribution rule of type for repairment,A variety of prediction modes are used again,Make the rule in a program by continuous historical data autonomous learning,Gradually form a comprehensive analysis forecast model,Scientifically and rationally certain season after prediction some timing node in future,Certain moon or one day will produce how many individual troublshootings when related power data changes in certain region,All it is any classification,Basis for estimation is provided for the next step behave of power operation,So as to the timely behave of taiwan area,Reduce taiwan area troublshooting amount,Improve taiwan area power supply quality.
Description
Technical field
The invention belongs to data mining technology field, be related to a kind of power supply trouble based on data visualization report for repairment analysis and
The method of prediction.
Background technology
Data mining technology is to find the technology of its rule from mass data by analyzing mass data, mainly there is number
Found according to preparation, rule and rule represents 3 steps.Data prepare to be to choose required data and whole from the data source of correlation
Synthesize the data set for data mining；It is to be found out the rule contained by data set with some way that rule, which is found,；Rule table
Show it is as far as possible in a manner of user is intelligible（Such as visualization）The rule found out is showed.
Power system is a complicated system, and data volume is huge, particularly enters the big data epoch in electric power enterprise
Afterwards, only the data scale of power equipment operation and electric load is just very surprising, depends traditional data processing method alone
Seem outdated, and the appearance of data mining technology just provides new outlet to solve this problem.
In circuit system, taiwan area refers to supply district or the region of transformer, and national grid carries out taiwan area at present
Change way to manage, each taiwan area is responsible for and implements this taiwan area work in every, there is provided high-quality to supply power supply service.Wherein, 95598 work orders are remembered
The troublshooting of record is the important indicator that each taiwan area of examination supplies power supply service quality, then how to reduce by 95598 work order quantity, carries
Height supplies power supply service quality, imperative.
The content of the invention
Report the side of analysis and prediction for repairment the invention aims to provide a kind of power supply trouble based on data visualization
Method, this method more can accurately find out related power data and be associated with troublshooting distribution by the excavation to historical data
And report the relation and weight of type for repairment, then based on this, certain season after some timing node in the future scientific and reasonable can be predicted
Degree, certain moon or one day will produce how many individual troublshootings in certain region, all be what classification, and remind taiwan area to take accordingly
Behave is tackled, to avoid the generation of 95598 work orders to greatest extent, reduces troublshooting amount, raising supplies power supply service quality.
The object of the present invention is achieved like this：A kind of power supply trouble based on data visualization reports what is analyzed and predict for repairment
Method, comprise the following steps：
（1）Data import：Export power supply basic data, power supply basic data is read out from corresponding monitoring device, led
Enter the system platform of C/S frameworks, the power supply basic data includes 95598 work order data, the voltage data of taiwan area, the electricity of taiwan area
The loadings of flow data, the electric quantity data of taiwan area and taiwan area；
（2）Data preparation：Power supply basic data is arranged and changed by database in the system platform of C/S frameworks, is deleted
Except invalid data, effective power data is obtained, and unstructured data is converted into structural data and adds required data
Attribute, establish and data storage is carried out based on the databases of SQL Server 2014, the database is GIS data source；
（3）Data visualization：Visualization tool is developed based on generalized information system, by GIS data source by system integration mode, showed
On GIS electronic maps, i.e., data message is labeled and parsed, the information and data of displaying are analyzed and collected,
GIS electronic maps are enable intuitively to show the associations such as the distribution of effective power data, classification, affiliated section, attributive classification letter
Breath；
（4）Data analysis：Using normal distribution, regression analysis, variance analysis, correlation analysis and cluster analysis, to each effective
Power data carries out comprehensive statistics analysis, finds out each effectively power data and is associated with troublshooting distribution and reports the pass of type for repairment
System and weight；
（5）Data prediction：According to power data and report incidence relation and each weight that data analysis is drawn for repairment, it is pre- using returning
The prediction modes such as survey method, time series forecasting, grey method, and in a program by continuous historical data autonomous learning,
The real data of the prediction data of history and history is contrasted and analyzed again, gradually forms a comprehensive prediction mould
Type, will in certain region so as to be predicted certain season, certain moon or one day after some timing node in the future as final model
How many individual troublshootings can be produced, are all what classifications, basis for estimation is provided for the next step behave of power operation；
（6）Output result：According to prediction result, prediction result is analyzed compared with setting behave, exports the act that should be taken
Arrange, to tackle the change of power data, reduce troublshooting amount, improve power supply quality.
Preferably, the data are imported by the way of Remote or manual operation.
Preferably, the effectively power data includes weather, temperature, humidity, the voltage of taiwan area, the electric current of taiwan area, taiwan area
Electricity and taiwan area load capacity.
Preferably, the visualization tool includes reporting data analysis and stoichiometric point data analysis for repairment, described to report data point for repairment
Analysis includes selection range analysis, reports the voltage for being analyzed and being checked taiwan area, electric current, electricity and load capacity for repairment to selected scope
Trend, the stoichiometric point in selection area that the stoichiometric point data analysis can report for repairment to concentration carry out voltage, electric current, the electricity of taiwan area
The data such as amount and load capacity are analyzed, and the running situation checked in some period.
Preferably, the GIS electronic maps use open GIS platform, and offline map data uses high moral map datum.
By adopting the above-described technical solution, the beneficial effects of the invention are as follows：Platform is imported by the system platform of C/S frameworks
Area's power data is simultaneously organized into GIS data source, then the visualization tool by being developed based on generalized information system, and GIS data source is visual
Change is shown on GIS electronic maps, then the visual analyzing theoretical based on a variety of statistical analyses by embedded GIS electronic maps
Instrument, the statistical analysis of various ways is carried out to GIS data source, then the analysis result different to these is screened, and is removed
Deviate some larger results, obtain accurate weather, temperature, humidity, the voltage of taiwan area, the electric current of taiwan area, taiwan area
The load capacity of electricity and taiwan area is associated with troublshooting distribution and reports the relation and weight distribution rule of type for repairment, then using a variety of
Prediction mode, make the rule in a program by continuous historical data autonomous learning, i.e., by the prediction data and history of history
Real data contrasted and analyzed again, a comprehensive forecast model is gradually formed by constantly correcting, as final
Analysis forecast model, then based on this, it is counter push away and scientifically and rationally prediction in the future certain season after some timing node, certain
The moon will produce how many individual troublshootings when related power data changes one day in certain region, all be what classification,
Basis for estimation is provided for the next step behave of power operation, so as to the timely behave of taiwan area, taiwan area troublshooting amount is reduced, improves platform
Area's power supply quality.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the present invention.
Fig. 2 is the C/S system architecture schematic diagrams of the present invention.
Embodiment
Below by embodiment, and with reference to accompanying drawing, technical scheme is described in further detail.
As shown in figure 1, a kind of power supply trouble based on data visualization provided by the invention reports the side of analysis and prediction for repairment
Method, comprise the following steps：
S1 data import：Export power supply basic data, power supply basic data is read out from corresponding monitoring device, imported
The system platform of C/S frameworks, the power supply basic data include 95598 work order data, the voltage data of taiwan area, the electric current of taiwan area
The loadings of data, the electric quantity data of taiwan area and taiwan area.
As shown in Fig. 2 system uses C/S framework, data visualization platform imports including data, data preparation, data
Load, four modules of data analysis.Wherein, system architecture uses C/S structures；Database is based on SQLServer2014；GIS is put down
Platform：GMap（The GIS platform increased income, offline map data use high moral map datum）；Operating system uses
WinServer2008；By modes such as research structure, the unified extraction of unstructured data, page parsings, power supply clothes are established
The uniform data interface for related data of being engaged in, the lifting quality of data and the promptness obtained.
S2 data preparations：Power supply basic data is arranged and changed by database in the system platform of C/S frameworks,
Invalid data is deleted, obtains effective power data, and unstructured data is converted into structural data and adds required number
According to attribute, establish and data storage is carried out based on the databases of SQL Server 2014, the database is GIS data source.Open number
It is Open architecture according to storehouse, there is provided database structure and table definition, be easy to user, data are directly imported by database in batches.
S6 data visualizations：Visualization tool is developed based on generalized information system, GIS data source is passed through into system integration mode, exhibition
On present GIS electronic maps, i.e., data message is labeled and parsed, the information and data of displaying are analyzed and converged
Always, GIS electronic maps are enable intuitively to show the association such as the distribution of effective power data, classification, affiliated section, attributive classification
Information.
S3 data analyses：Using normal distribution, regression analysis, variance analysis, correlation analysis and cluster analysis, have to each
Imitate power data and carry out comprehensive statistics analysis, find out each effectively power data and be associated with troublshooting distribution and report type for repairment
Relation and weight.Wherein, using more including normal distribution, regression analysis, variance analysis, correlation analysis and cluster analysis
First statistical analysis, obtains different analysis results, then screens out and deviates some larger results, and desalination is uncertain, artificial
, the influence that subjective factor is to effective power data, reject these and seem effectively invalid effective power data in fact, so as to
The accuracy improved to the analysis of effective power data is realized, analysis result is more accurate, and follow-up prediction result also can be more accurate, more
Tend to be actual, with being actually consistent.
S4 data predictions：According to power data and report incidence relation and each weight that data analysis is drawn for repairment, using return
Return the prediction modes such as predicted method, time series forecasting, grey method, and independently learned by continuous historical data in a program
Practise, the real data of the prediction data of history and history is contrasted and analyzed again, gradually forms a comprehensive prediction
Model, as final model, so as to be predicted certain season, certain moon or one day after some timing node in the future in certain region
How many individual troublshootings will be produced, are all what classifications, basis for estimation is provided for the next step behave of power operation.Wherein,
By constantly to the autonomous learning of historical data, increasing sampled data output, can also be some are uncertain, artificial, it is subjective
Influence of the factor to effective power data reduce, reject these and seem effectively invalid data in fact, it is pre- to improve analysis
The accuracy of survey.Using a variety of prediction modes such as Regression Forecast, time series forecasting, grey method, can avoid single
The problem of prediction mode prediction result that may be present deviates.Prediction is scientifically and rationally analyzed respectively with various ways, then
These different analysis prediction results are screened again, removes and deviates some larger results, so as to generate final analysis
Forecast model, the accuracy of such sample is higher, and the result of prediction also more they tends to reality.
S5 output results：According to prediction result, prediction result is analyzed compared with setting behave, what output should be taken
Behave, to tackle the change of power data, troublshooting amount is reduced, improves power supply quality.After setting the artificial formulation of behave,
The system platform of C/S frameworks is inputted, different behaves and different prediction results are interrelated, according to prediction result during use, export
Corresponding setting behave, reminds taiwan area in time and correctly tackles, can effectively reduce troublshooting work order caused by 95598, carry
High taiwan area power supply quality.
Further, the data are imported by the way of Remote or manual operation.Relative to current each taiwan area certainly
Dynamicization monitoring degree differs, and the high taiwan area of automaticity can take Remote mode and the system platform of C/S frameworks straight
Docking is connect, data source is timely and effective, and operating efficiency is high.
Further, the effectively power data includes weather, temperature, humidity, the voltage of taiwan area, the electric current of taiwan area, platform
The electricity in area and the load capacity of taiwan area.
Further, the visualization tool includes reporting data analysis and stoichiometric point data analysis for repairment, described to report data for repairment
Analysis includes selection range analysis, reports the voltage for being analyzed and being checked taiwan area, electric current, electricity and load for repairment to selected scope
Amount trend, the stoichiometric point data analysis stoichiometric point in the selection area that report for repairment of concentration can be carried out the voltage of taiwan area, electric current,
The data such as electricity and load capacity are analyzed, and the running situation checked in some period.
Further, the GIS electronic maps use open GIS platform, and offline map data uses high moral map datum.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations, although
The present invention is described in detail with reference to above-described embodiment, it should be understood by a person of ordinary skill in the art that still may be used
Modified or equivalent substitution with the embodiment to the present invention, and repaiied without departing from any of spirit and scope of the invention
Change or equivalent substitution, it all should cover among scope of the presently claimed invention.
Claims (5)
1. a kind of method that power supply trouble based on data visualization reports analysis and prediction for repairment, it is characterised in that including following step
Suddenly：
（1）Data import：Export power supply basic data, power supply basic data is read out from corresponding monitoring device, led
Enter the system platform of C/S frameworks, the power supply basic data includes 95598 work order data, the voltage data of taiwan area, the electricity of taiwan area
The loadings of flow data, the electric quantity data of taiwan area and taiwan area；
（2）Data preparation：Power supply basic data is arranged and changed by database in the system platform of C/S frameworks, is deleted
Except invalid data, effective power data is obtained, and unstructured data is converted into structural data and adds required data
Attribute, establish and data storage is carried out based on the databases of SQL Server 2014, the database is GIS data source；
（3）Data visualization：Visualization tool is developed based on generalized information system, by GIS data source by system integration mode, showed
On GIS electronic maps, i.e., data message is labeled and parsed, the information and data of displaying are analyzed and collected,
GIS electronic maps are enable intuitively to show the associations such as the distribution of effective power data, classification, affiliated section, attributive classification letter
Breath；
（4）Data analysis：Using normal distribution, regression analysis, variance analysis, correlation analysis and cluster analysis, to each effective
Power data carries out comprehensive statistics analysis, finds out each effectively power data and is associated with troublshooting distribution and reports the pass of type for repairment
System and weight；
（5）Data prediction：According to power data and report incidence relation and each weight that data analysis is drawn for repairment, it is pre- using returning
The prediction modes such as survey method, time series forecasting, grey method, and in a program by continuous historical data autonomous learning,
The real data of the prediction data of history and history is contrasted and analyzed again, a synthesis is gradually formed by constantly correcting
Property forecast model, as final model, so as to be predicted, prediction certain season after some timing node, certain moon in the future
Or one day will produce how many individual troublshootings when related power data changes in certain region, be all what classification, be
The next step behave of power operation provides basis for estimation；
（6）Output result：According to prediction result, prediction result is analyzed compared with setting behave, exports the act that should be taken
Arrange, to tackle the change of power data in time, reduce troublshooting amount, improve power supply quality.
2. the method that a kind of power supply trouble based on data visualization according to claim 1 reports analysis and prediction for repairment, its
It is characterised by：The data are imported by the way of Remote or manual operation.
3. the method that a kind of power supply trouble based on data visualization according to claim 1 reports analysis and prediction for repairment, its
It is characterised by：The effectively power data includes weather, temperature, humidity, the voltage of taiwan area, the electric current of taiwan area, the electricity of taiwan area
With the load capacity of taiwan area.
4. the method that a kind of power supply trouble based on data visualization according to claim 1 reports analysis and prediction for repairment, its
It is characterised by：The visualization tool includes reporting data analysis and stoichiometric point data analysis for repairment, described to report data analysis for repairment and include
Selection range analysis for repairment, the voltage for being analyzed and being checked taiwan area, electric current, electricity and load capacity trend are reported to selected scope,
The stoichiometric point data analysis stoichiometric point in the selection area that report for repairment of concentration can be carried out the voltage of taiwan area, electric current, electricity and
The data such as load capacity are analyzed, and the running situation checked in some period.
5. the method that a kind of power supply trouble based on data visualization according to claim 1 reports analysis and prediction for repairment, its
It is characterised by：The GIS electronic maps use open GIS platform, and offline map data uses high moral map datum.
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| CN109523419A (en) * | 2018-10-19 | 2019-03-26 | 国家电网有限公司 | Aggregation of data management and diagnostic assay applied to converting station high voltage electrical test |
| CN109828186A (en) * | 2019-03-06 | 2019-05-31 | 江苏和网源电气有限公司 | A kind of long-range Distribution Network Failure active forewarning system |
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| CN111579923A (en) * | 2020-05-19 | 2020-08-25 | 广东电网有限责任公司 | Power distribution network fault diagnosis system and method |
| CN111579923B (en) * | 2020-05-19 | 2022-04-15 | 广东电网有限责任公司 | Power distribution network fault diagnosis system and method |
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| CN112650795A (en) * | 2020-12-31 | 2021-04-13 | 上海交通大学 | Power-BI-based distribution network equipment differentiation operation and maintenance visualization method and system |
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