CN110188255A - Power consumer Behavior mining method and system based on the shared fusion of business datum - Google Patents
Power consumer Behavior mining method and system based on the shared fusion of business datum Download PDFInfo
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Abstract
The invention discloses a kind of based on power marketing and the shared power consumer Behavior mining method and system merged of electric car business datum, method includes the following steps: obtaining the power marketing service basic data information of conventional power user and the electric car service basic data information of automobile user, and classification processing is carried out to it, the service link of comparative analysis power marketing business and electric car business determines the service link that two class business can merge；Based on the service link that two class business can merge, conventional power user and automobile user behavior evaluation index are constructed；Conventional power user and automobile user behavior evaluation achievement data source are combed, data correlation rule is established, identifies synthetic user；Construct synthetic user data value mining model；Synthetic user behavioural characteristic is analyzed using synthetic user data value mining model.
Description
Technical field
This disclosure relates to power domain, and in particular to one kind, which is shared based on power marketing with electric car business datum, melts
The power consumer Behavior mining method and system of conjunction.
Background technique
New-energy automobile is the important handgrip that China implements energy strategy adjustment and automobile industry transition and upgrade, but long-term
Since, since electric vehicle consumption concept is immature, related auxiliary facility is not perfect and factors, the new-energy automobile such as price push away
Wide process is more slow.With the successive appearance of country and local subsidy policy, electric automobile market process enters quickly hair
The stage of exhibition.New-energy automobile is realized in multiple links such as policy system, market scale, product technology, infrastructure
Significant enhancement.
In the popularization of new-energy automobile and the construction use process of electrically-charging equipment, gradually show a series of application problems.
Inventor has found in R&D process, is excavated, is analyzed to the behavioural characteristic of power consumer using a variety of methods at present
The electricity consumption behavioural characteristic of power consumer, but with the popularization of electric car, automobile user increases, some electrical power is used
Family is that power consumer is automobile user again, for such user is compared to simple power consumer, and is had corresponding
Different electricity consumption behavioral traits.Power marketing business and electric car business the business bar line that be two major classes different at present, and it is general
The electricity consumption data of logical power consumer and the electricity consumption data of automobile user are stored respectively in Electric Power Marketing System and car networking
Platform, but power marketing business and electric car business be there are certain relevance and similitude, the business item being kept completely separate
Line is unfavorable for the feature that power supply enterprise grasps user on the whole, therefore at present about being both conventional power user and electronic
The research of the behavioural characteristic analysis of user vehicle (hereinafter referred to as " synthetic user ") is carried out less.
Summary of the invention
In order to overcome the above-mentioned deficiencies of the prior art, present disclose provides one kind based on power marketing and electric car industry
The power consumer Behavior mining method and system of business data sharing fusion, analysis conventional power marketing service and electric car take
The similarities and differences of business business excavate the service link that can be merged in two class operation flows, and combing can from the service link that can be merged
For the index of analysis integrated user behavior characteristics, synthetic user behavioural characteristic mining model is constructed, analyses in depth synthetic user
Behavioural characteristic, the design for differentiation, specific aim, immortalized electric service provide reference.
On the one hand the disclosure provides a kind of based on power marketing and the shared electric power use merged of electric car business datum
The technical solution of family Behavior mining method is:
It is a kind of that the power consumer Behavior mining method merged is shared based on power marketing and electric car business datum, it should
Method the following steps are included:
Obtain the power marketing service basic data information of conventional power user and the electric car of automobile user
Service basic data information, and classification processing, the business of comparative analysis power marketing business and electric car business are carried out to it
Link determines the service link that two class business can merge；
Based on the service link that two class business can merge, conventional power user and automobile user behavior evaluation are constructed
Index；
Conventional power user and automobile user behavior evaluation achievement data source are combed, data correlation rule is established,
Identify synthetic user；
Construct synthetic user data value mining model；
Synthetic user behavioural characteristic is analyzed using synthetic user data value mining model.
Further, the determination method for the service link that the two classes business can merge are as follows:
It determines power marketing service link identical with automobile user electricity consumption life cycle, including business handling, pays
Take business, breakdown repair and customer service；
Respectively from four business handling, fee payment service, breakdown repair and customer service service links, to power marketing industry
Business is compared and analyzed with electric car business, and combing power marketing business and two class business of electric car business are at this four
The similarities and differences of service link analyze power marketing business to the applicability of electric car business and the link that cannot be applicable in, really
The service link that fixed two class business can merge.
Further, the construction method of the conventional power user and automobile user behavior evaluation index are as follows:
Obtain the Field Count that sales service application system, power information acquisition system, car networking platform achievement data acquire
According to；
Based on the service link that two class business can merge, acquired in conjunction with obtained sales service application system, power information
System, the field data of car networking platform achievement data acquisition, analyze the Field Count of conventional power user and automobile user
According to building is tieed up user power utilization data mining based on demand charge business, the user power utilization data mining dimension of customer service
Degree is refined into conventional power user and automobile user behavior evaluation index.
Further, the conventional power user behavior evaluation index include electricity consumption, the electricity charge, pay charge way, it is receivable disobey
About gold and urge expense number；The automobile user behavior evaluation index include transaction electricity, charging duration, transaction amount and
Service charge.
Further, the recognition methods of the synthetic user are as follows:
It is identification field with customer name, electricity consumption address, the user of car networking platform is numbered, conventional power is made
The number of user and automobile user is unified；
With customer name, electricity consumption address for main correlating factor, conventional power user has been associated with automobile user
Come, identifies synthetic user.
Further, the synthetic user data value mining model includes:
Data collection layer, for acquiring common electricity consumption and the electric car electricity consumption behavioral data of synthetic user；
Data aggregation layer, for determining synthetic user behavioural characteristic evaluation index；
Data analysis layer: for carrying out cleaning and normalized to synthetic user electricity consumption behavioral data；
The data analysis layer is analyzed and is visualized for the behavioural characteristic to synthetic user different level.
Further, described that synthetic user behavioural characteristic is analyzed using synthetic user data value mining model
The step of include:
Obtain common electricity consumption and the electric car electricity consumption behavioral data of synthetic user；
Obtained synthetic user electricity consumption behavioral data is merged, determines synthetic user behavioural characteristic evaluation index；
Cleaning and normalized are carried out to synthetic user electricity consumption behavioral data；
Using K-means clustering algorithm, to treated, synthetic user electricity consumption behavioral data carries out behavioural characteristic analysis, obtains
To the synthetic user classification results of Behavior-based control feature.
On the other hand the disclosure provides a kind of based on power marketing and the shared electric power merged of electric car business datum
The technical solution of user behavior digging system is:
It is a kind of that the power consumer Behavior mining system merged is shared based on power marketing and electric car business datum, it should
System includes:
Integrated services point determining module, for obtain the power marketing service basic data information of conventional power user with
And the electric car service basic data information of automobile user, and classification processing, comparative analysis power marketing are carried out to it
The service link of business and electric car business determines the service link that two class business can merge；
Evaluation index construct module, the service link for that can be merged based on two class business, building conventional power user and
Automobile user behavior evaluation index；
Synthetic user identification module, for combing conventional power user and automobile user behavior evaluation achievement data
Source establishes data correlation rule, identifies synthetic user；
Model building module, for constructing synthetic user data value mining model；
User behavior characteristics analysis module, for utilizing synthetic user data value mining model to synthetic user behavior
Feature is analyzed.
A kind of technical solution of on the other hand computer readable storage medium that the disclosure provides is:
A kind of computer readable storage medium, is stored thereon with computer program, realization when which is executed by processor
As described above based on power marketing and the step in the shared power consumer Behavior mining method merged of electric car business datum
Suddenly.
A kind of technical solution of on the other hand computer equipment that the disclosure provides is:
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage
Computer program, the processor are realized as described above when executing described program based on power marketing and electric car business
Step in the power consumer Behavior mining method of data sharing fusion.
Through the above technical solutions, the beneficial effect of the disclosure is:
(1) disclosure promotes power marketing business and electric car integrated services, and the industry of power marketing business is expanded report
The operation flows such as dress, payment are merged with the corresponding service process of electric car, and electricity, power consumption efficiency are done in promotion；
(2) disclosure is by blending conventional power user behavior data and automobile user behavioral data, favorably
User behavior is analyzed on the whole in power supply enterprise, and comprehensive, stage construction grasps user behavior characteristic；
(3) disclosure is by the way that in power supply company's end power marketing business and electric car integrated services, user can be from one
The items such as a unified entrance finishing service handles, pays the fees, troublshooting.
Detailed description of the invention
The Figure of description for constituting a part of this disclosure is used to provide further understanding of the disclosure, the disclosure
Illustrative embodiments and their description do not constitute the improper restriction to the disclosure for explaining the application.
Fig. 1 is that embodiment one is dug based on power marketing with the shared power consumer behavior merged of electric car business datum
The flow chart of pick method.
Specific embodiment
The disclosure is described further with embodiment with reference to the accompanying drawing.
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the disclosure.Unless
Otherwise indicated, all technical and scientific terms that the disclosure uses have the ordinary skill people with disclosure technical field
The normally understood identical meanings of member.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular shape
Formula be also intended to include plural form, additionally, it should be understood that, when in the present specification use term "comprising" and/or
When " comprising ", existing characteristics, step, operation, device, component and/or their combination are indicated.
Embodiment one
The present embodiment provides a kind of based on power marketing and the shared power consumer behavior merged of electric car business datum
Method for digging obtains conventional power sales service data and electric car Business Information, basic data is based on, to power marketing
It is analysed in depth with electric car service-user operation flow content, from business handling, fee payment service, troublshooting, client
The two class clients such as service share service link and compare and analyze, and analysis power marketing business tine, process, mechanism are to electronic
The applicability of automobile business, comb out two class business can fused business link；Based on two class business can fused business ring
Section is carried out going deep into excavation, be constructed to the comprehensive electricity consumption data of synthetic user for being both conventional power user and automobile user
Synthetic user data value mining model carries out synthetic user behavioural characteristic using synthetic user data value mining model
Analysis.
Attached drawing 1 is please referred to, it is described based on power marketing and the shared power consumer behavior merged of electric car service application
Method for digging the following steps are included:
S101 obtains the power marketing service basic data information of conventional power user and the electricity of automobile user
Electrical automobile service basic data information.
The power marketing service basic data information of the conventional power user include power marketing business tine, process,
The data informations such as mechanism.
The electric car service basic data information of the automobile user include electric car business tine, process,
The data informations such as mechanism.
S102 carries out classification processing, comparative analysis power marketing business and electric car business to obtained basic data
The same or similar service link of two class business determines the service link that two class business can merge.
Specifically, it is connect from conventional power user and two class client of automobile user in the business of electricity consumption Life cycle
Contact sees, early consultation, Business Process System, the electricity charge pay, breakdown repair, customer service when two class clients during electricity consumption all
The service link being related to defines electric power battalion since channel of the two class clients in terms of early consultation, content are similar
Selling service link identical with automobile user electricity consumption life cycle is business handling, fee payment service, breakdown repair, client
Service four aspects.
Respectively from four business handling, fee payment service, breakdown repair, customer service service links, electric power battalion is carried out
The comparative analysis of pin business and electric car business, combing power marketing business and two class business of electric car business this four
The similarities and differences of the business tine of a service link, process, mechanism etc. analyze conventional power sales service standard to electronic
The applicability of automobile business and the link that cannot be applicable in determine the service link that two class business can merge.
Specifically, respectively from four business handling, fee payment service, breakdown repair, customer service service links, into
The comparative analysis of row power marketing business and electric car business the specific implementation process is as follows:
(1) in terms of business handling, the business handling process of automobile user includes charge condition confirmation, supplier of electricity
The links such as case application, installation, Acceptance application need to submit related proof data during handling；Power marketing user
Business handling process be divided into that low-voltage customer handles process and high voltage customer handles process, wherein low-voltage customer handles process packet
Service handling is included, site inspection, examination & approval, power supply plan is replied, determines that expense, business charge, dress table connect electricity, information filing, visitor
The links such as family return visit, filing, user need to submit defined proof data in the business handling duration；High voltage customer is done
Reason process includes that electricity consumption new clothes application is accepted, site inspection, power supply plan executes, operation cost is collected, power supply engineering is (external
Engineering) project verification, design, drawing review, construction budget, equipment supply, work progress tracking, by electrical engineering drawing review,
Middle inspection, final acceptance of construction sign contract for the supply and use of electricity signings, dress table power transmission, file the links such as register for a household residence card.
Process comparison is applied to install from power marketing user and automobile user, two class processes have difference at two: first is that
Charging pile applies to install that there are charge conditions to determine link, is related to the units such as automobile vendor, property；Second is that conventional power has applied to install industry
Business charge link, there is no business charge links for charging pile installation.From channel and time limit requirement is handled, two class users' is wanted
Ask essentially identical.
(2) in terms of electricity charges, the paying electric charge channel of two class users has electric card and two class of APP, and conventional power is used
The intelligent electric card at family is to bind with itself family number, and the recharged card of automobile user is non-system of real name；Electronic channel is all
There is specific APP, can be realized in APP payment process through wechat or Alipay payment.
(3) in terms of breakdown repair, the channel that two class customer troubles report for repairment can all pass through the electronics canal such as 95598 or APP
Road, time limit require almost the same；In terms of breakdown repair process, by reporting the process of repairing for repairment when conventional power is repaired, and it is right
In the charging pile of grid company operation, repair personnel can realize that actively discovering failure actively repairs by inspection APP.For
Public charging pile, such as public transport charging station, power supply company are responsible for corresponding breakdown repair, process and conventional power troublshooting
Repairing is consistent；The charging pile of installation personal for user, repairing are typically all to carry out breakdown repair and maintenance by supplier,
Power supply company do not undertake to user use by oneself charging pile maintenance repairing.
(4) in terms of customer service, the services channels of automobile user mainly include wisdom car networking platform, with mutual
Dynamic website and cell phone client are interaction approach, realize charging pile location-based service, real-time status inquiry, facility navigation, unified branch
Fu Ka, it charges without card, improves electrically-charging equipment service efficiency and user experience；In terms of operation management, by user, business hall, visitor
Family service centre, provincial company O&M overhaul unit are closely connected together, realize that card, phone customer service, electrically-charging equipment are sold in business hall
The automation perforation and control in real time of the full-services processes such as monitoring, live O&M maintenance.
In terms of power marketing service, " internet+power marketing service " intelligent Service Platform, including " palm electricity are released
Power " resident version APP and enterprise version APP, the platform cover power purchase service, the service of reporting for repairment, do electricity service, high pressure large power consumers
Multinomial business, realizes power business business under line and is transferred on cell phone application line and accept.
Current two classes user has intelligent Service Platform Internet-based, provides just for client during electricity consumption
Prompt electric service.But two class platforms are mutually indepedent, for same client be power marketing client be again electric car visitor
The power information at family, two class business cannot be obtained in identical platform, and electricity consumption business needs are handled in different platforms.
The present embodiment determines two class business by each service link of analysis power marketing business and electric car business
Merge link, foundation can be provided for subsequent two classes integrated services, synthetic user purpose data classifying and signature analysis.
S103 constructs user power utilization data mining dimension based on the service link that two class business can merge, and ties up excavating
Degree is refined into evaluation index.
Specifically, the service link that can be merged based on two class business, is adopted in conjunction with sales service application system, power information
Collecting system, car networking platform achievement data collect the data of storage, analyze the field of conventional power user, automobile user
Data are constructed based on demand charge business, the user power utilization data mining dimension of customer service, with power marketing operation system
And it will excavate dimension based on car networking platform field and be refined into and can be used for the conventional power user and electronic of Develop Data excavation
User vehicle behavior evaluation index.
In sales service application system, car networking platform, conventional power user, automobile user field data
As shown in Table 1 and Table 2.
1 conventional power custom system index field list of table
2 automobile user system index field list of table
| Serial number | Index name |
| 1 | Transaction journal number |
| 2 | Automobile user account |
| 3 | City's title |
| 4 | Charging pile number |
| 5 | Charge station name |
| 6 | Stake title |
| 7 | Type of transaction |
| 8 | Time started |
| 9 | End time |
| 10 | It charges the time started |
| 11 | Charging duration (hour) |
| 12 | Charging section |
| 13 | Month |
| 14 | The electricity charge |
| 15 | Service charge |
| 16 | Transaction amount |
| 17 | Transaction electricity |
| 18 | Stop reason |
The conventional power user and automobile user behavior evaluation index are as shown in table 3.
3 conventional power user of table and automobile user behavioural characteristic evaluation index
The present embodiment constructs user behavior assessment indicator system by combing user behavior index field, is synthetic user
The analysis of behavioural characteristic provides analytic angle and analysis foundation.
S104 combs evaluation index data source according to obtained user behavior evaluation index, establishes data correlation rule
Then, synthetic user is identified, the analysis object excavated as user data value.
Specifically, the user behavior evaluation index obtained according to step 103, combs the data source of each evaluation index,
Specify the data source of each evaluation index.The synthetic user is automobile user to be conventional power user.
Due to that in different systems, cannot identify synthetic user at present, needs to establish data correlation rule, synthetic user is identified
Out.
Specifically, the data correlation rule are as follows:
In sales service system, there is unique customer number for sole user, is with customer name, electricity consumption address
It identifies field, correspondence is numbered to the user of car networking platform, makes the user being present in sales service system and is present in
The user of car networking platform has unified number, so as to identify synthetic user after subsequent extraction data.
Specifically, the synthetic user recognition methods are as follows:
Based on data correlation rule, with customer name, electricity consumption address be main correlating factor, by conventional power user with
Automobile user associates, and identifies synthetic user.
S105, after identifying synthetic user, based on the data that sales service application system, car networking platform store
Data source constructs synthetic user data value mining model.
The synthetic user data value mining model includes data collection layer, data analysis layer, data aggregation layer sum number
According to analysis layer, in which:
The data collection layer, for acquiring basic information, the behavioural characteristic of conventional power user and automobile user
The user informations such as information, credit information.
The data aggregation layer, for determining synthetic user behavioural characteristic evaluation index.
The data analysis layer: cleaning the electricity consumption data of user, arrange, and arranges shortage of data, null value, data
Extremely, the problems such as data dimension is inconsistent.
The data analysis layer, for being carried out to the feature of synthetic user different level to research and analyse theme as foundation
Analysis and visual presentation.
The present embodiment can be synthetic user behavioural characteristic data by building synthetic user data value mining model
Deep excavation technological means is provided, be conducive to excavate the implicit user's characteristic information of user behavior data.
S106 analyzes synthetic user behavioural characteristic using synthetic user data value mining model, is based on
The synthetic user of behavioural characteristic is classified.
Specifically, the specific implementation of the step 106 is as follows:
S1061 extracts common electricity consumption and the electric car electricity consumption behavioral data of synthetic user.
In the present embodiment, using December in January, 2018-as data pick-up bore, extract synthetic user common electricity consumption and
Electric car electricity consumption behavioral data.
S1062, common electricity consumption and electric car electricity consumption behavioral data to the synthetic user being drawn into are merged, really
Determine synthetic user behavioural characteristic evaluation index.
The synthetic user behavioural characteristic evaluation index is as shown in table 4.
4 synthetic user behavioural characteristic assessment indicator system of table
S1063, common electricity consumption and electric car electricity consumption behavioral data to synthetic user are handled, including are cleaned, returned
One change processing.
Specifically, in order to check data with the presence or absence of missing, null value, exception situations such as, by the way of directly deleting into
Row data cleansing, to guarantee the availability of data to be analyzed.
Since there are difference for data dimension, nondimensionalization normalized is carried out to data using Z-Score method.
S1064, using K-means clustering algorithm, to treated, synthetic user electricity consumption behavioral data carries out synthetic user
Behavioural characteristic analysis, obtains the synthetic user classification results of Behavior-based control feature.
Specifically, the step 1064 the specific implementation process is as follows:
(1) by synthetic user behavioural characteristic evaluation index data, synthetic user electricity consumption behavioral data is distinguished with treated
K-means clustering software is imported, synthetic user classification is carried out.
By synthetic user behavioural characteristic evaluation index data, synthetic user electricity consumption behavioral data imports K- with treated
Means clustering software tests different cluster numbers, when apparent personal characteristics is presented in each classification of cluster,
Select cluster number at this time as final cluster foundation.In the present embodiment, synthetic user electricity consumption behavioral data is gathered and is
When 3 class, the feature and service strategy of three classes user is as follows:
The synthetic user of 5 Behavior-based control feature of table is classified and service recommendations
(2) after data analysis, graphically show that user characteristics cluster as a result, including the basis of user
Information, behavioural characteristic, cluster feature, user demand, service strategy suggestion.
The synthetic user classification results that the present embodiment is obtained by analysis can grasp user characteristics for power supply enterprise and mention
For foundation, is conducive to power supply enterprise and implements differentiated service strategy, more accurately meet the individual demand of different user.
What the present embodiment proposed is dug based on power marketing with the shared power consumer behavior merged of electric car business datum
Pick method, the similarities and differences of analysis conventional power marketing business and electric car business, excavating can merge in two class operation flows
Service link, combing can be used for the evaluation index of analysis integrated user behavior characteristics from the service link that can be merged, and construct comprehensive
User behavior characteristics mining model is closed, analyses in depth synthetic user behavioural characteristic using synthetic user behavioural characteristic mining model,
Design for differentiation, specific aim, immortalized electric service provides reference.
Embodiment two
It is a kind of that the power consumer Behavior mining system merged is shared based on power marketing and electric car business datum, it should
System includes:
Integrated services point determining module, for obtain the power marketing service basic data information of conventional power user with
And the electric car service basic data information of automobile user, and classification processing, comparative analysis power marketing are carried out to it
The service link of business and electric car business determines the service link that two class business can merge；
Evaluation index construct module, the service link for that can be merged based on two class business, building conventional power user and
Automobile user behavior evaluation index；
Synthetic user identification module, for combing conventional power user and automobile user behavior evaluation achievement data
Source establishes data correlation rule, identifies synthetic user；
Model building module, for constructing synthetic user data value mining model；
User behavior characteristics analysis module, for utilizing synthetic user data value mining model to synthetic user behavior
Feature is analyzed.
Embodiment three
A kind of computer readable storage medium, is stored thereon with computer program, realization when which is executed by processor
As shown in Figure 1 is shared in the power consumer Behavior mining method merged based on power marketing with electric car business datum
Step.
Example IV
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage
Computer program, the processor are realized as shown in Figure 1 based on power marketing and electric car business when executing described program
Step in the power consumer Behavior mining method of data sharing fusion.
It should be understood by those skilled in the art that, embodiment of the disclosure can provide as method, system or computer journey
Sequence product.Therefore, hardware embodiment, software implementation or embodiment combining software and hardware aspects can be used in the disclosure
Form.It is deposited moreover, the disclosure can be used to can be used in the computer that one or more wherein includes computer usable program code
The form for the computer program product implemented on storage media (including but not limited to magnetic disk storage and optical memory etc.).
The disclosure be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions each in flowchart and/or the block diagram
The combination of process and/or box in process and/or box and flowchart and/or the block diagram.It can provide these computers
Processor of the program instruction to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices
To generate a machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute
For realizing the function of being specified in one or more flows of the flowchart and/or one or more blocks of the block diagram
Device.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that instruction stored in the computer readable memory generation includes
The manufacture of command device, the command device are realized in one box of one or more flows of the flowchart and/or block diagram
Or the function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that
Series of operation steps are executed on computer or other programmable devices to generate computer implemented processing, thus calculating
The instruction executed on machine or other programmable devices is provided for realizing in one or more flows of the flowchart and/or side
The step of function of being specified in block diagram one box or multiple boxes.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can
It is completed with instructing relevant hardware by computer program, the program can be stored in a computer-readable storage
In medium, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can
For magnetic disk, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random
AccessMemory, RAM) etc..
Although above-mentioned be described in conjunction with specific embodiment of the attached drawing to the disclosure, not the disclosure is protected
The limitation of range, those skilled in the art should understand that, on the basis of the technical solution of the disclosure, those skilled in the art
Member does not need to make the creative labor the various modifications or changes that can be made still within the protection scope of the disclosure.
Claims (10)
1. a kind of based on power marketing and the shared power consumer Behavior mining method merged of electric car business datum, feature
It is, method includes the following steps:
Obtain the power marketing service basic data information of conventional power user and the electric car business of automobile user
Base data information, and classification processing is carried out to it, the service link of comparative analysis power marketing business and electric car business,
Determine the service link that two class business can merge；
Based on the service link that two class business can merge, conventional power user and automobile user behavior evaluation index are constructed；
Conventional power user and automobile user behavior evaluation achievement data source are combed, data correlation rule, identification are established
Synthetic user；
Construct synthetic user data value mining model；
Synthetic user behavioural characteristic is analyzed using synthetic user data value mining model.
2. according to claim 1 based on power marketing and the shared power consumer behavior merged of electric car business datum
Method for digging, characterized in that the determination method for the service link that the two classes business can merge are as follows:
Determine power marketing service link identical with automobile user electricity consumption life cycle, including business handling, payment industry
Business, breakdown repair and customer service；
Respectively from four business handling, fee payment service, breakdown repair and customer service service links, to power marketing business and electricity
Electrical automobile business compares and analyzes, and combing power marketing business and two class business of electric car business are in four service links
Similarities and differences, analysis power marketing business is to the applicability of electric car business and the link that cannot be applicable in, really
The service link that fixed two class business can merge.
3. according to claim 1 based on power marketing and the shared power consumer behavior merged of electric car business datum
Method for digging, characterized in that the construction method of the conventional power user and automobile user behavior evaluation index are as follows:
Obtain sales service application system, power information acquisition system, the field data of car networking platform achievement data acquisition；
Based on the service link that two class business can merge, in conjunction with obtain sales service application system, power information acquisition system,
The field data of car networking platform achievement data acquisition, analyzes the field data of conventional power user and automobile user, structure
It builds based on demand charge business, the user power utilization data mining dimension of customer service, user power utilization data mining dimension is refined
At conventional power user and automobile user behavior evaluation index.
4. according to claim 1 based on power marketing and the shared power consumer behavior merged of electric car business datum
Method for digging, characterized in that the conventional power user behavior evaluation index include electricity consumption, the electricity charge, pay charge way, it is receivable disobey
About gold and urge expense number；The automobile user behavior evaluation index includes transaction electricity, charging duration, transaction amount kimonos
Business expense.
5. according to claim 1 based on power marketing and the shared power consumer behavior merged of electric car business datum
Method for digging, characterized in that the recognition methods of the synthetic user are as follows:
With customer name, electricity consumption address be identification field, the user of car networking platform is numbered, make conventional power user with
The number of automobile user is unified；
With customer name, electricity consumption address for main correlating factor, conventional power user is associated with automobile user, is known
It Chu not synthetic user.
6. according to claim 1 based on power marketing and the shared power consumer behavior merged of electric car business datum
Method for digging, characterized in that the synthetic user data value mining model includes:
Data collection layer, for acquiring common electricity consumption and the electric car electricity consumption behavioral data of synthetic user；
Data aggregation layer, for determining synthetic user behavioural characteristic evaluation index；
Data analysis layer: for carrying out cleaning and normalized to synthetic user electricity consumption behavioral data；
The data analysis layer is analyzed and is visualized for the behavioural characteristic to synthetic user different level.
7. according to claim 1 based on power marketing and the shared power consumer behavior merged of electric car business datum
Method for digging, characterized in that described that synthetic user behavioural characteristic is analyzed using synthetic user data value mining model
The step of include:
Obtain common electricity consumption and the electric car electricity consumption behavioral data of synthetic user；
Obtained synthetic user electricity consumption behavioral data is merged, determines synthetic user behavioural characteristic evaluation index；
Cleaning and normalized are carried out to synthetic user electricity consumption behavioral data；
Using K-means clustering algorithm, to treated, synthetic user electricity consumption behavioral data carries out behavioural characteristic analysis, obtains base
In the synthetic user classification results of behavioural characteristic.
8. a kind of based on power marketing and the shared power consumer Behavior mining system merged of electric car business datum, feature
It is that the system includes:
Integrated services point determining module, for obtaining the power marketing service basic data information of conventional power user and electronic
The electric car service basic data information of user vehicle, and classification processing is carried out to it, comparative analysis power marketing business with
The service link of electric car business determines the service link that two class business can merge；
Evaluation index constructs module, and the service link for that can be merged based on two class business constructs conventional power user and electronic
User vehicle behavior evaluation index；
Synthetic user identification module, for combing conventional power user and automobile user behavior evaluation achievement data source,
Data correlation rule is established, identifies synthetic user；
Model building module, for constructing synthetic user data value mining model；
User behavior characteristics analysis module, for using synthetic user data value mining model to synthetic user behavioural characteristic into
Row analysis.
9. a kind of computer readable storage medium, is stored thereon with computer program, characterized in that the program is executed by processor
Shi Shixian is for example of any of claims 1-7 based on power marketing and the shared electric power merged of electric car business datum
Step in user behavior method for digging.
10. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, characterized in that realize when the processor executes described program and be based on as of any of claims 1-7
Power marketing shares the step in the power consumer Behavior mining method merged with electric car business datum.
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