CN106022646A - Electric power user information data analysis system and analysis method - Google Patents
Electric power user information data analysis system and analysis method Download PDFInfo
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- CN106022646A CN106022646A CN201610400760.0A CN201610400760A CN106022646A CN 106022646 A CN106022646 A CN 106022646A CN 201610400760 A CN201610400760 A CN 201610400760A CN 106022646 A CN106022646 A CN 106022646A
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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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
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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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured 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
- 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 an analysis method of an electric power user information data analysis system. The method comprises the following steps: stored user information data is subjected to data mining operation via the electric power user information data analysis system, and potential users of electric energy substitution can be identified; according to electric power consumption link distribution of each potential user of electric energy substitution, electric power consumption demand of each potential user of electric energy substitution can be analyzed via the electric power user information data analysis system, and an energy saving plan can be correspondingly made and electric power consumption service information can be correspondingly pushed. According to the analysis method of the electric power user information data analysis system, the electric power user information data is subjected to the data mining operation via large data analysis, the potential users of electric energy substitution are identified, electric power consumption demand of users can be analyzed, the energy saving plan is sent to each user in a pertinent manner and the electric power consumption service information is pushed to each user in a pertinent manner; satisfaction of users can be improved, customized business handling can be provided to the users, user experience can be improved, and service efficiency can be enhanced.
Description
Technical field
The present invention relates to power system, particularly relate to a kind of power consumer information data based on big data technique and analyze system and analysis method.
Background technology
The customer service system of power supply enterprise carries out electrical power services and marketing work conscientiously, but along with the growth of portfolio and the appearance of emerging service, the function of original program can not meet the demand that client is new.Mainly show themselves in that
1, portfolio is big, especially summer summer peak meeting and the dyskinetic weather such as typhoon, cold wave etc. traffic peak in the case of, consulting and fault ticket processing speed problem highlight.
2, loss of learning, have that operation flow is invisible, troublshooting problem is difficult to trace analysis, data analysis not exclusively, lack and the problem such as client connection.
3, manual office is sex-limited, the training cost of contact staff is high, training time is long, it is incomplete that individual grasps knowledge, traditional method of service waste Service Source, make contact staff be chronically in the work situation of weight muscle power, the simple strong pressure helped and constantly repeat, add many unnecessary human costs and operation cost to enterprise.
Under the overall situation of sale of electricity side reform, how to alleviate customer service pressure, promote customer service and experience, be one of company's core missions of realizing power supply good service.
Summary of the invention
The present invention provides a kind of power consumer information data to analyze system and analysis method, provides the user personalized service and information pushing.
For achieving the above object, the present invention provides a kind of power consumer information data to analyze system, is characterized in, this system comprises:
Information excavating module, it carries out data mining to power consumer information, identifies electric energy and substitute potentiality user；
Electric energy substitutes potentiality subscriber information storing module, and its input communication connection information excavates module, and storage electric energy substitutes the information of potentiality user；
Information analysis module, its input communication connection electric energy substitutes potentiality subscriber information storing module, analyze electric energy and substitute potentiality user profile, the electricity consumption link distribution of potentiality user is substituted respectively according to each electric energy, analyzing each electric energy and substitute the need for electricity of potentiality user, correspondence is formulated energy conservation program and selects energy-saving value-added service respectively；
Message output module, its input communication connection information is analyzed module, is substituted potentiality user to each electric energy and push electrical power services information and the electric energy substitute products information of correspondence respectively.
The input communication connection power consumer information bank of above-mentioned information excavating module, gathers the power consumer information in power consumer information bank.
The above-mentioned message output module communication connection intelligent mobile terminal of user or TV or computer.
A kind of power consumer information data analyzes the analysis method of system, is characterized in, the method comprises:
Power consumer information data is analyzed system and the user profile data stored is carried out data mining, identifies electric energy and substitutes potentiality user；
Power consumer information data is analyzed system and is substituted the electricity consumption link distribution of potentiality user according to each electric energy, analyzes each electric energy and substitutes the need for electricity of potentiality user, and correspondence is formulated energy conservation program and pushes power supply service information respectively.
The method that above-mentioned power consumer information data analysis system carries out data mining employing to the user profile data stored comprises: clustering procedure or decision tree method or artificial neural network method or fuzzy logic method or genetic algorithm or association rules.
Above-mentioned power consumer information data analysis system carries out data mining to the user profile data stored and comprises: identifies electric energy by user feature analysis and substitutes potentiality user；Described user feature analysis comprises:
Select data and preprocessed data；
Cluster is used to find user behavior feature；
Cluster result is analyzed.
Above-mentioned power consumer information data is analyzed systematic analysis and is analyzed the need for electricity showing that each electric energy substitutes potentiality user by user's purchasing behavior, and formulates energy conservation program by user's purchase intention forecast analysis and push power supply service information.
Above-mentioned power consumer information data is analyzed the need for electricity of systematic analysis electric energy replacement potentiality user and is also comprised: assisting lookup user mainly to use by energy consumption monitoring can link.
Above-mentioned power consumer information data analysis system propelling movement power supply service information comprises recommends electric energy substitute products and information of providing personalized service to electric energy replacement potentiality user.
Power consumer information data of the present invention analysis system and the method for analysis are compared to the prior art, have an advantage in that, the present invention carries out data mining by big data analysis to power consumer information data, identify electric energy and substitute potentiality user, analyze the need for electricity of user, specific aim is formulated energy conservation program and pushes power supply service information, improve customer satisfaction, service handling personalized, specialized, intelligentized is provided for client, service item is more various, function more comprehensively, and is strengthened paying a return visit, and improves customer experience, in-depth customer relationship, improves efficiency of service.
Accompanying drawing explanation
Fig. 1 is the system module figure that power consumer information data of the present invention analyzes system；
Fig. 2 is the flow chart that power consumer information data of the present invention analyzes method.
Detailed description of the invention
Below in conjunction with accompanying drawing, further illustrate the specific embodiment of the present invention.
As it is shown in figure 1, disclose a kind of power consumer information data to analyze system, this analysis system comprises: information excavating module 101, electric energy substitute potentiality subscriber information storing module 102, information analysis module 103 and message output module 104.
The input communication connection power consumer information bank of information excavating module 101, gathers the power consumer information in power consumer information bank.Information excavating module 101 power consumer information data is analyzed the analysis method of system and is carried out data mining, identifies electric energy and substitutes potentiality user.
Electric energy substitutes the input communication connection information of potentiality subscriber information storing module 102 and excavates module 101, and the electric energy drawn for storing information excavating module 101 to analyze substitutes the information of potentiality user.
The input communication connection electric energy of information analysis module 103 substitutes potentiality subscriber information storing module 102, the user profile of potentiality user is substituted for analyzing electric energy, the electricity consumption link distribution of potentiality user is substituted respectively according to each electric energy, analyzing each electric energy and substitute the need for electricity of potentiality user, correspondence is formulated energy conservation program and selects energy-saving value-added service respectively.
The input communication connection information of message output module 104 analyzes module 103, pushes electrical power services information and the electric energy substitute products information of correspondence respectively for substituting potentiality user to each electric energy.Message output module 104 communicates to connect the intelligent mobile terminal of user or TV or computer.
In the present embodiment, power consumer information data is analyzed system and is used 95598 intelligence ancillary service systems data bases of Guo Wang Utilities Electric Co..95598 intelligence ancillary service systems, in existing 95598 system-based of Guo Wang Utilities Electric Co., introduce the new and high technologies such as up-to-date artificial intelligence, big data analysis and mobile Internet, build 95598 intelligence ancillary service systems.Based on big data analysis realize to power consumer information and user behavior analysis so that the operation flow of whole 95598 customer services more efficiently, more intelligent, more rise in value.Customer service requirement can not only be met, promote customer experience, and by data mining it can be found that client's potential demand, open up electricity market.
Comparing current customer service system, power consumer information data analyzes system and analysis method possesses following functions characteristic:
1) the big data statistic analysis of multidimensional is supported
By to customer information and the real-time collecting of service handling data, it is achieved region or individual customer and service handling quality are estimated and analyze lifting.
2) intelligentized power supply service
By power consumer individual behavior is analyzed, it is achieved certification, the identification to subscriber identity information, thus provide various customization service for client.
3) towards the data depth mining analysis of CRM
Precision: based on geography information and big data analysis technique CRM data carried out real-time collecting and depth data excavates, realize electric energy is substituted the accurate evaluation of the need for electricity of potentiality user, thus carry out accurate information propelling movement, carry out excavation and the market developing of electric power business opportunity.
4) initiative and interactive service
By to client's analytic statistics accurately, utilize mobile Internet etc. by all kinds of means, realize to business handling flow nodes information, handle the accidents such as object information, dyskinetic weather, regional faults rush to repair node flow process and disable electrical information active propagate issue, thus ensure that advance notice client receives relevant important information, reduce customer service system business consultation amount.
As in figure 2 it is shown, the invention also discloses a kind of power consumer information data to analyze the analysis method of system, the method includes the steps of:
S1, power consumer information data are analyzed system and are gathered power consumer information from power consumer information bank.
S2, power consumer information data are analyzed system and the user profile data stored are carried out data mining, identify electric energy and substitute potentiality user.The method that power consumer information data analysis system carries out data mining employing to the user profile data stored comprises: clustering procedure or decision tree method or artificial neural network method or fuzzy logic method or genetic algorithm or association rules.
Power consumer information data analysis system carries out data mining to the user profile data stored and comprises: identifies electric energy by user feature analysis and substitutes potentiality user；Wherein the step of user feature analysis comprises:
A) data and preprocessed data are selected.
B) cluster is used to find user behavior feature.
The technology of user behavior feature mining is cluster.Cluster is exploration type data mining technology.The different types of clustering technique of many kinds can be used.Cluster has three kinds of main application modes, one, the factor different classes of by holding difference, holds the consumption preferences of user；Its two, the cluster formed is set up the analysis model of deep layer；Its three, using cluster result as the additional input variable of other data mining task, such as, on the basis of cluster, analyze the purchasing model of different user colony.Similar users can be grouped into together according to the variable estimated by cluster data mining, makes the difference between different types of groups of users maximize simultaneously.The identical group of essence has specific user behavior and describes, as long as all clustering techniques are proper use of, can produce appropriate packet.
C) cluster result analysis.
When describing cluster, the characteristic variable of user in each cluster will be checked, and use these variablees to the user describing in this group and the difference of user in other groups.Those variablees that should select there is maximum difference for this.Data-driven method can be according to the characteristic attribute directly measuring and extracting user, it is provided that the natural group technology to consumer.It is to say, use data mining, the characterization segmentation of user directly can be found from data, it is not necessary to use restriction in advance.
S3, power consumer information data are analyzed system and are substituted the electricity consumption link distribution of potentiality user according to each electric energy, analyze each electric energy and substitute the need for electricity of potentiality user.
Concrete, power consumer information data is analyzed systematic analysis and is analyzed the need for electricity showing that each electric energy substitutes potentiality user by user's purchasing behavior, wherein, the need for electricity of power consumer information data analysis systematic analysis electric energy replacement potentiality user also comprises by energy consumption monitoring assistance lookup user mainly by energy link.
S4, substitute potentiality user by user's purchase intention forecast analysis each electric energy corresponding respectively and formulate energy conservation program and push power supply service information.Wherein push power supply service information also to comprise and substitute potentiality user to electric energy and recommend electric energy substitute products and provide personalized service information.
Although present disclosure has been made to be discussed in detail by above preferred embodiment, but it should be appreciated that the description above is not considered as limitation of the present invention.After those skilled in the art have read foregoing, multiple amendment and replacement for the present invention all will be apparent from.Therefore, protection scope of the present invention should be limited to the appended claims.
Claims (9)
1. a power consumer information data analyzes system, it is characterised in that this system comprises:
Information excavating module, it carries out data mining to power consumer information, identifies electric energy and substitute potentiality user；
Electric energy substitutes potentiality subscriber information storing module, and its input communication connection information excavates module, and storage electric energy substitutes the information of potentiality user；
Information analysis module, its input communication connection electric energy substitutes potentiality subscriber information storing module, analyze electric energy and substitute potentiality user profile, the electricity consumption link distribution of potentiality user is substituted respectively according to each electric energy, analyzing each electric energy and substitute the need for electricity of potentiality user, correspondence is formulated energy conservation program and selects energy-saving value-added service respectively；
Message output module, its input communication connection information is analyzed module, is substituted potentiality user to each electric energy and push electrical power services information and the electric energy substitute products information of correspondence respectively.
2. power consumer information data as claimed in claim 1 analyzes system, it is characterised in that the input communication connection power consumer information bank of described information excavating module, gathers the power consumer information in power consumer information bank.
3. power consumer information data as claimed in claim 1 analyzes system, it is characterised in that the intelligent mobile terminal of described message output module communication connection user or TV or computer.
4. the analysis method of a power consumer information data analysis system, it is characterised in that the method comprises:
Power consumer information data is analyzed system and the user profile data stored is carried out data mining, identifies electric energy and substitutes potentiality user；
Power consumer information data is analyzed system and is substituted the electricity consumption link distribution of potentiality user according to each electric energy, analyzes each electric energy and substitutes the need for electricity of potentiality user, and correspondence is formulated energy conservation program and pushes power supply service information respectively.
Analyze method the most as claimed in claim 4, it is characterized in that, the method that described power consumer information data analysis system carries out data mining employing to the user profile data stored comprises: clustering procedure or decision tree method or artificial neural network method or fuzzy logic method or genetic algorithm or association rules.
6. the analysis method as described in claim 4 or 5, it is characterised in that described power consumer information data analysis system carries out data mining to the user profile data stored and comprises: identifies electric energy by user feature analysis and substitutes potentiality user；Described user feature analysis comprises:
Select data and preprocessed data；
Cluster is used to find user behavior feature；
Cluster result is analyzed.
Analyze method the most as claimed in claim 4, it is characterized in that, described power consumer information data is analyzed systematic analysis and is analyzed the need for electricity showing that each electric energy substitutes potentiality user by user's purchasing behavior, and formulates energy conservation program by user's purchase intention forecast analysis and push power supply service information.
Analyze method the most as claimed in claim 4, it is characterised in that described power consumer information data is analyzed the need for electricity of systematic analysis electric energy replacement potentiality user and also comprised: assisting lookup user mainly to use by energy consumption monitoring can link.
Analyze method the most as claimed in claim 4, it is characterised in that described power consumer information data analysis system propelling movement power supply service information comprises recommends electric energy substitute products and information of providing personalized service to electric energy replacement potentiality user.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106484667A (en) * | 2016-10-13 | 2017-03-08 | 广州视源电子科技股份有限公司 | The method and device of display data |
| CN107292513A (en) * | 2017-06-21 | 2017-10-24 | 国网辽宁省电力有限公司 | A kind of method that power customer management is realized based on svm classifier algorithm |
| CN107465697A (en) * | 2017-09-23 | 2017-12-12 | 陈杰 | A kind of electricity consumption consumption information management platform based on electric power enterprise |
| CN107748940A (en) * | 2017-11-16 | 2018-03-02 | 国网上海市电力公司 | A kind of energy conservation potential Quantitative prediction methods |
| CN107958338A (en) * | 2017-12-08 | 2018-04-24 | 合肥工业大学 | Electricity consumption policy recommendation method and device, storage medium |
| CN108596404A (en) * | 2018-05-09 | 2018-09-28 | 国网山东省电力公司青岛供电公司 | A kind of measuring method substituting Potential Prediction for electric energy |
| CN109461025A (en) * | 2018-10-23 | 2019-03-12 | 国网湖南省电力公司节能管理分公司 | A kind of electric energy substitution potential customers' prediction technique based on machine learning |
| CN110930198A (en) * | 2019-12-05 | 2020-03-27 | 佰聆数据股份有限公司 | Electric energy substitution potential prediction method and system based on random forest, storage medium and computer equipment |
| CN112232910A (en) * | 2020-10-13 | 2021-01-15 | 国网上海市电力公司 | Electric power market expanding system |
| CN112268640A (en) * | 2020-10-14 | 2021-01-26 | 云南电网有限责任公司玉溪供电局 | Energy-saving heat energy meter data acquisition device |
| CN112365281A (en) * | 2020-10-28 | 2021-02-12 | 国网冀北电力有限公司计量中心 | Power customer service demand analysis method and device |
| CN113590685A (en) * | 2021-07-28 | 2021-11-02 | 国网内蒙古东部电力有限公司供电服务监管与支持中心 | Electric energy substitution potential mining method based on user information big data |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101398919A (en) * | 2007-09-28 | 2009-04-01 | 韩国电力公社 | Electric power requirement analytic system for utilizing mode analysis and method thereof |
| CN104680313A (en) * | 2015-02-10 | 2015-06-03 | 北京国电通网络技术有限公司 | Method for monitoring and screening urban high-energy-consumptive enterprises |
| CN105184455A (en) * | 2015-08-20 | 2015-12-23 | 国家电网公司 | High dimension visualized analysis method facing urban electric power data analysis |
-
2016
- 2016-06-08 CN CN201610400760.0A patent/CN106022646A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101398919A (en) * | 2007-09-28 | 2009-04-01 | 韩国电力公社 | Electric power requirement analytic system for utilizing mode analysis and method thereof |
| CN104680313A (en) * | 2015-02-10 | 2015-06-03 | 北京国电通网络技术有限公司 | Method for monitoring and screening urban high-energy-consumptive enterprises |
| CN105184455A (en) * | 2015-08-20 | 2015-12-23 | 国家电网公司 | High dimension visualized analysis method facing urban electric power data analysis |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106484667A (en) * | 2016-10-13 | 2017-03-08 | 广州视源电子科技股份有限公司 | The method and device of display data |
| CN107292513A (en) * | 2017-06-21 | 2017-10-24 | 国网辽宁省电力有限公司 | A kind of method that power customer management is realized based on svm classifier algorithm |
| CN107465697A (en) * | 2017-09-23 | 2017-12-12 | 陈杰 | A kind of electricity consumption consumption information management platform based on electric power enterprise |
| CN107748940B (en) * | 2017-11-16 | 2021-10-12 | 国网上海市电力公司 | Power-saving potential quantitative prediction method |
| CN107748940A (en) * | 2017-11-16 | 2018-03-02 | 国网上海市电力公司 | A kind of energy conservation potential Quantitative prediction methods |
| CN107958338A (en) * | 2017-12-08 | 2018-04-24 | 合肥工业大学 | Electricity consumption policy recommendation method and device, storage medium |
| CN108596404A (en) * | 2018-05-09 | 2018-09-28 | 国网山东省电力公司青岛供电公司 | A kind of measuring method substituting Potential Prediction for electric energy |
| CN109461025A (en) * | 2018-10-23 | 2019-03-12 | 国网湖南省电力公司节能管理分公司 | A kind of electric energy substitution potential customers' prediction technique based on machine learning |
| CN109461025B (en) * | 2018-10-23 | 2020-11-27 | 国网湖南省电力公司节能管理分公司 | Electric energy substitution potential customer prediction method based on machine learning |
| CN110930198A (en) * | 2019-12-05 | 2020-03-27 | 佰聆数据股份有限公司 | Electric energy substitution potential prediction method and system based on random forest, storage medium and computer equipment |
| CN112232910A (en) * | 2020-10-13 | 2021-01-15 | 国网上海市电力公司 | Electric power market expanding system |
| CN112268640A (en) * | 2020-10-14 | 2021-01-26 | 云南电网有限责任公司玉溪供电局 | Energy-saving heat energy meter data acquisition device |
| CN112365281A (en) * | 2020-10-28 | 2021-02-12 | 国网冀北电力有限公司计量中心 | Power customer service demand analysis method and device |
| CN113590685A (en) * | 2021-07-28 | 2021-11-02 | 国网内蒙古东部电力有限公司供电服务监管与支持中心 | Electric energy substitution potential mining method based on user information big data |
| CN113590685B (en) * | 2021-07-28 | 2023-04-28 | 国网内蒙古东部电力有限公司供电服务监管与支持中心 | Electric energy substitution potential mining method based on user information big data |
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