CN106777244A - A kind of power customer electricity consumption behavior analysis method and system - Google Patents
A kind of power customer electricity consumption behavior analysis method and system Download PDFInfo
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Abstract
The present invention discloses a kind of power customer electricity consumption behavior analysis method and system, and the method includes：Original user power-related data is periodically obtained by real-time task scheduling technology；Data cleansing is carried out to original user power-related data by data precipitation and data bury a pretreatment, obtain analyze data after treatment；Determine there is the corresponding original user electric power data of electricity consumption abnormal behavior suspicion according to analyze data；There will be the corresponding original user power-related data of electricity consumption abnormal behavior suspicion and analyze data storage in oracle database.Present invention fusion big data technology, contacting between internet thinking and customer service business, according to service management demand, the product of digitization is obtained using data tool analysis from big data, various dimensions are carried out to the electricity consumption situation of user, multi-level, become more meticulous pattern exhibition, and the power marketing service for becoming more meticulous is provided the user by personalized customization, consolidate good service provided auxiliary decision-making.
Description
Technical field
It is to be related to a kind of power customer electricity consumption behavioural analysis in particular the invention belongs to power marketing technical field
Method and system.
Background technology
As current all kinds of technological progresses promote business productivity to be lifted, such as artificial intelligence automation, analogue simulation
The automatic technologies such as system, intelligent robot, image recognition technology promote service interaction intelligent level；Intelligent distribution network, section
Can new technology, energy storage technology, new energy power generation grid-connection equal energy source technology, promote the power network mode of production transformation, also to marketing and
Service mode brings influence；The information technologies such as big data, cloud computing, visualization have penetrated into all trades and professions, create new
Business model.The development of new technology brings new requirement for company, and one is cultivated using data as corporate strategy assets
Come the ability planned, managed and applied, two is that New technical use will finally be embodied in hotel service innovation and service mode
In innovation.
Currently, the depth integration of big data technology, internet thinking and power marketing customer service business is not enough, current
Business diagnosis simply concentrates on the simple statistics description of data mostly, is mainly directed towards service management demand, lack to market trend,
The deep excavation of customer demand, business rule, it is weaker that enabling capabilities are excavated in data analysis.
The content of the invention
In view of this, the invention provides a kind of power customer electricity consumption behavior analysis method and system, according to service management
Demand, to market trend, customer demand, the product of digitization is obtained from big data, to user using data tool analysis
Electricity consumption situation carry out various dimensions, multi-level, become more meticulous pattern exhibition, and provides the user what is become more meticulous by personalized customization
Power marketing service, for the management of lifting Utilities Electric Co., consolidates good service provided auxiliary decision-making.
To achieve the above object, the present invention provides following technical scheme：
A kind of power customer electricity consumption behavior analysis method, including：
Original user electricity in the intermediate database of user power utilization information acquisition system is periodically obtained by real-time task scheduling
Power related data；
Data precipitation is carried out to the original user power-related data by data precipitation and data bury a pretreatment, obtained
To original user power-related data analyze data after treatment；
Determine there is the corresponding original user electric power data of electricity consumption abnormal behavior suspicion according to the analyze data；
There is the corresponding original user power-related data of electricity consumption abnormal behavior suspicion and the analysis by described
Data storage is in oracle database.
Wherein, described precipitation by data buries a little pre- place to original user power-related data data precipitation and data
Reason, obtains original user power-related data analyze data after treatment, including：Period electricity consumption proportion grading, change
Depressor selection capacity optimization analysis and power factor (PF) analysis.
Preferably, also include：
There is the corresponding original user power-related data of electricity consumption abnormal behavior suspicion and carry out anomaly analysis to described,
And store to the oracle database electricity consumption abnormal behavior analysis result.
Preferably, also include：
For in the absence of the corresponding original user power-related data of electricity consumption abnormal behavior suspicion according to preserve data
Preset Time, deleted using the roll mode of first in first out.
Preferably, also include：
By it is described exist the corresponding original user electric power data of electricity consumption abnormal behavior suspicion, the analyze data and
The electricity consumption abnormal behavior analysis result, according to preset security operation standard, provides the user visual presentation.
A kind of power customer electricity consumption behavior analysis system, including：
Acquiring unit, for periodically obtaining user power utilization information acquisition system intermediate data by real-time task scheduling technology
Original user power-related data in storehouse；
Analytic unit, data cleansing and data are carried out for being precipitated by data to the original user power-related data
A pretreatment is buried, original user power-related data analyze data after treatment is obtained；
Determining unit, for determining there is the corresponding original use of electricity consumption abnormal behavior suspicion according to the analyze data
Family electric power data；
Memory cell, for there is the corresponding original user power-related data of electricity consumption abnormal behavior suspicion by described
And the analyze data storage is in oracle database.
Preferably, also include：
Anomaly analysis unit, for there is the corresponding original user electric power correlation of electricity consumption abnormal behavior suspicion to described
Data carry out anomaly analysis, and electricity consumption abnormal behavior analysis result is stored to the oracle database.
Preferably, also include：
Unit is deleted, for in the absence of the corresponding original user power-related data of electricity consumption abnormal behavior suspicion
According to the Preset Time for preserving data, deleted using the roll mode of first in first out.
Preferably, also include：
Display unit, for there is the corresponding original user electric power data of electricity consumption abnormal behavior suspicion, institute by described
Analyze data and the electricity consumption abnormal behavior analysis result are stated, according to preset security operation standard, visualization is provided the user
Displaying.
Understood via above-mentioned technical scheme, compared with prior art, the present invention discloses a kind of power customer electricity consumption behavior
Analysis method and system, the method include：User power utilization information acquisition system mediant is periodically obtained by real-time task scheduling
According to the original user power-related data in storehouse；Data precipitation is carried out to original user power-related data and data bury a little pre- place
Reason, obtains analyze data after treatment；Determine there is the corresponding original use of electricity consumption abnormal behavior suspicion according to analyze data
Family electric power data；There will be the corresponding original user power-related data of electricity consumption abnormal behavior suspicion and analyze data storage exists
Oracle database.Present invention fusion big data technology, contacting between internet thinking and customer service business, according to business
Regulatory requirement, to market trend, customer demand, the product of digitization is obtained from big data using data tool analysis, right
The electricity consumption situation of user carries out various dimensions, multi-level, become more meticulous pattern exhibition, and is provided the user finely by personalized customization
The power marketing service of change, for the management of lifting Utilities Electric Co., consolidates good service provided auxiliary decision-making.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Inventive embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of power customer electricity consumption behavior analysis method schematic flow sheet provided in an embodiment of the present invention；
Fig. 2 is a kind of further schematic flow sheet of power customer electricity consumption behavior analysis method provided in an embodiment of the present invention；
Fig. 3 is the flow chart of data processing schematic diagram of power customer electricity consumption behavior analysis method provided in an embodiment of the present invention；
Fig. 4 is a kind of power customer electricity consumption behavior analysis system structural representation provided in an embodiment of the present invention；
Fig. 5 is a kind of further structural representation of power customer electricity consumption behavior analysis system provided in an embodiment of the present invention；
Fig. 6 is the general frame schematic diagram of power customer electricity consumption behavior analysis system provided in an embodiment of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
The present invention relates to power marketing field, the technology for being related to data mining, data modeling, data display etc. to be combined,
Mainly for power network resident and enterprise customer, big data technology is applied in power marketing, visualized by big data,
The technologies such as data mining, personalized recommendation are represented to user power utilization behavior, are modeled and Optimizing Suggestions, realize personalized, essence
Refinement marketing program, for resident and enterprise provide the services such as electricity consumption statistical analysis, prediction, optimization recommendation.From good service and completely
Sufficient client's potential demand aspect is set out, by integrating, deep-cutting the electricity consumption Life cycle data of power customer, based on substantially special
Property, Social Characteristics, Industrial Features and electricity characteristic, are analyzed according to multiobjective analysis decision making algorithm to customer electricity behavior,
For different types of user carries out classification and orientation, there is provided differentiated service, customer churn is reduced by improving service quality, enter one
Step enhancing client, while excavating potential big customer, improves the occupation rate of market of power supply enterprise for the dependence of power supply enterprise.
The purpose of the present invention is exactly, using mobile Internet and big data technology, to be constituted such as by demand charge：Electricity
The degree electricity charge, power adjust the electricity charge, basic charge as per installed capacity, peak-to-valley ratio and user's date load data distribution etc. to be analyzed, and generate electricity consumption
Optimization analysis report, relative users are pushed to by mobile phone A PP application platforms, terminal device interface etc., and user can be according to conjunction
Physics and chemistry proposal analysis report, adjusts the policies such as the production schedule, the pause of reasonable employment transformer, volume reduction, improves transformer using effect
Rate, power cost saving cost.By this good interaction, power supply enterprise can integrate intrinsic advantage resource, go deep into digging user and dive
In demand, there is provided good service；Additionally by analysis every profession and trade electricity consumption data, for different classes of new clothes client, can provide
Correspondence type portable scheme and conductive suggestion or setting set meal, lift power consumption efficiency, user satisfaction are improved constantly, so as to consolidate
Gu and share of exploiting market effectively reduces operation and the cost of serving of company.
Accompanying drawing 1 is referred to, Fig. 1 shows for a kind of power customer electricity consumption behavior analysis method flow provided in an embodiment of the present invention
It is intended to.As shown in figure 1, the invention discloses a kind of power customer electricity consumption behavior analysis method, the method specific steps are included such as
Under：
S101, the original use periodically obtained by real-time task scheduling in user power utilization information acquisition system intermediate database
Family power-related data.
It should be noted that intermediate database of the original user electric power data from user power utilization information acquisition system,
The power-related data of user is periodically obtained by interface routine, the specific cycle can be configured according to actual needs, one
As for once a day or one day two to six times or only a few emphasis tracking user (be no more than 10) can contemplate every 15 minutes more
A new secondary data, the specific access cycle is also relevant with the frequency that intermediate database is updated with extraction system.Initial data is using first
Enter the principle for first going out, after the completion of data analysis, the result of system retention analysis data, such as：Trade power consumption trend, difference apply to install appearance
The user power utilization trend of amount；And for initial data, only retain user's original number that small part has electricity consumption abnormal behavior suspicion
According to whole initial data will not be stored.
S102, precipitated by data and carry out data precipitation to original user power-related data and data bury a pretreatment,
Obtain original user power-related data analyze data after treatment.
Specifically, carrying out data cleansing and pretreatment to original user power-related data, original user electric power phase is obtained
Closing data analyze data after treatment includes：Period electricity consumption proportion grading, transformer selection capacity optimization analysis and work(
Rate factor analysis, description specific as follows：
Period electricity consumption proportion grading：Evaluate enterprise tou power price policy execution situation refer mainly to indicate：Peak Pinggu electricity
The distribution of amount ratio, average electric degree electricity price, peak-to-valley ratio, peak-valley difference, the poor peak valley electricity charge, the growth of paddy electricity amount, the growth of ordinary telegram amount, electricity charge branch
Go out to increase etc..
For specially becoming client, when not considering that the basic electricity price related to equipment utilization horizontal close influences, average electricity is used
Degree electricity price index is estimated analysis, average electric degree electricity price to the performance of client's policyComputational methods such as formula (1),
The index embodies the average electric degree electricity price level in one charge calculation cycle of client, and energy is analyzed with usually section electricity price
Intuitively reflect the implementation result of Peak-valley TOU power price.
In formula:PiIt is different periods electricity price, with P1、P2、P3Represent peak Pinggu electricity price；QiIt is different periods electricity ratio, with
Q1、Q2、Q3Represent that peak Pinggu electricity accounts for total electricity ratio respectively, it meets formula (2)
In the existing electricity price regulation of China, what electricity price was to determine.The average electric degree electricity price level of client is flat depending on peak
The electricity distribution of paddy；In power marketing work, how the ratio of peak Pinggu power consumption is distributed and could realize being full of for time-of-use tariffs
Thanks to balance is for the most concerned problem of electricity consumption both sides；In this breakeven point, in contrast to time-of-use tariffs are not performed, power network is looked forward to
Industry will not increase and decrease income of electricity charge, and client will not equally increase and decrease grid electricity fee cost, therefore, peak valley equalization point should meet following formula (3) condition:
By Q2=1-Q1-Q3Substitution formula (1) solves the ratio k of peak valley equalization point, such as (4)：
Therefore, when peak-valley electric energy ratio reaches k, client performs the average electric degree electricity price and usually section electricity of Peak-valley TOU power price
Valency is equal, i.e. the situation of less execution tou power price neither increases the electricity charge will not also reduce the electricity charge.And for peak-valley electric energy than low
In the situation of k, the average electric degree electricity price of client illustrates that the client performs tou power price Policy Effect preferable less than usually section electricity price；
Conversely, client's grid electricity fee cost less holds tou power price need to increase grid electricity fee cost.
Transformer selection capacity optimization analysis：Transformer capacity selected conference increase equipment purchasing, installation and operation to tie up
Shield cost, causes fund to waste；Capacity is too small, it is impossible to meet the need for electricity of client, and overlond running even causes device damage.
Load factor, the actual requirement of transformer are analyzed, so as to judge the selection of transformer be by gathering customer electricity data in this visual angle
It is no appropriate, and the recent electricity consumption data of client is utilized, realize pause, volume reduction, change the monthly billing electricity after transformer (model, capacity)
Take, the book establishment of support electricity consumption Optimizing Suggestions.Comprise the following steps that：
According to customer electricity data, analysis transformer load rate (load factor=actual load/rated load * 100%)；Root
Become device load factor, actual requirement, application requirement according to client to judge whether in more economical running status, if actual requirement is not
It is and is designated and does not meet standard client；Determine Optimized Measures, by actual conditions for client provides counter-measure, including pause,
The modes such as volume reduction, replacing transformer, and electric cost expenditure comparative analysis data after implementation are calculated, it is that customer electricity Optimizing Suggestions book is carried
For support.
Power factor (PF) is analyzed：By calculating client's functional factor of customer electricity data, and with mean power factor index
Contrasted, recognized undesirable client, electricity consumption Optimizing Suggestions are formulated by family for specialized department, comprised the following steps that：
Enterprise's mean power factor is calculated by enterprise's active, idle power consumption monthly, formula is tan φ=without function
Electricity/active power consumption, can be converted into cos φ with trigonometric function, and this value is the of that month mean power factor of enterprise；By enterprise
Of that month mean power factor is compared with calibration power factor, if exceeding critical field, identifies the client not meet
It is required that client；Determine Optimized Measures, be client by function is improved because rate number determines compensation capacity and idle pay off period
Electricity consumption Optimizing Suggestions book provides support.
S103, according to analyze data determine there is the corresponding original user electric power data of electricity consumption abnormal behavior suspicion.
S104, there will be the corresponding original user power-related data of electricity consumption abnormal behavior suspicion and analyze data storage
In oracle database.
The present invention discloses a kind of power customer electricity consumption behavior analysis method, and this method fusion big data technology, internet are thought
Contacting between dimension and customer service business, according to service management demand, to market trend, customer demand, from big data
The product of digitization is obtained using data tool analysis, various dimensions is carried out to the electricity consumption situation of user, multi-level, become more meticulous figure
Represent, and the power marketing service for becoming more meticulous is provided the user by personalized customization, for the management of lifting Utilities Electric Co., consolidate
Gu good service provided auxiliary decision-making.
Accompanying drawing 2 is referred to, Fig. 2 is that a kind of power customer electricity consumption behavior analysis method provided in an embodiment of the present invention is further
Schematic flow sheet.As shown in Fig. 2 the invention discloses a kind of power customer electricity consumption behavior analysis method, the method specific steps
Including as follows：
S201, the original use periodically obtained by real-time task scheduling in user power utilization information acquisition system intermediate database
Family power-related data.
It should be noted that intermediate database of the original user electric power data from user power utilization information acquisition system,
The power-related data of user is periodically obtained by interface routine, the specific cycle can be configured according to actual needs, one
As for once a day or one day two to six times or only a few emphasis tracking user (be no more than 10) can contemplate every 15 minutes more
A new secondary data, the specific access cycle is also relevant with the frequency that intermediate database is updated with extraction system.Initial data is using first
Enter the principle for first going out, after the completion of data analysis, the result of system retention analysis data, such as：Trade power consumption trend, difference apply to install appearance
The user power utilization trend of amount；And for initial data, only retain user's original number that small part has electricity consumption abnormal behavior suspicion
According to whole initial data will not be stored.
S202, precipitated by data and carry out data cleansing to original user power-related data and data bury a pretreatment,
Obtain original user power-related data analyze data after treatment.
Specifically, carrying out data cleansing and pretreatment to original user power-related data, original user electric power phase is obtained
Closing data analyze data after treatment includes：Period electricity consumption proportion grading, transformer selection capacity optimization analysis and work(
Rate factor analysis, description specific as follows：
Period electricity consumption proportion grading：Evaluate enterprise tou power price policy execution situation refer mainly to indicate：Peak Pinggu electricity
The distribution of amount ratio, average electric degree electricity price, peak-to-valley ratio, peak-valley difference, the poor peak valley electricity charge, the growth of paddy electricity amount, the growth of ordinary telegram amount, electricity charge branch
Go out to increase etc..
For specially becoming client, when not considering that the basic electricity price related to equipment utilization horizontal close influences, average electricity is used
Degree electricity price index is estimated analysis, average electric degree electricity price to the performance of client's policyComputational methods such as formula (1),
The index embodies the average electric degree electricity price level in one charge calculation cycle of client, and energy is analyzed with usually section electricity price
Intuitively reflect the implementation result of Peak-valley TOU power price.
In formula:PiIt is different periods electricity price, with P1、P2、P3Represent peak Pinggu electricity price；QiIt is different periods electricity ratio, with
Q1、Q2、Q3Represent that peak Pinggu electricity accounts for total electricity ratio respectively, it meets formula (2)
In the existing electricity price regulation of China, what electricity price was to determine.The average electric degree electricity price level of client is flat depending on peak
The electricity distribution of paddy；In power marketing work, how the ratio of peak Pinggu power consumption is distributed and could realize being full of for time-of-use tariffs
Thanks to balance is for the most concerned problem of electricity consumption both sides；In this breakeven point, in contrast to time-of-use tariffs are not performed, power network is looked forward to
Industry will not increase and decrease income of electricity charge, and client will not equally increase and decrease grid electricity fee cost, therefore, peak valley equalization point should meet following formula (3) condition:
By Q2=1-Q1-Q3Substitution formula (1) solves the ratio k of peak valley equalization point, such as (4)：
Therefore, when peak-valley electric energy ratio reaches k, client performs the average electric degree electricity price and usually section electricity of Peak-valley TOU power price
Valency is equal, i.e. the situation of less execution tou power price neither increases the electricity charge will not also reduce the electricity charge.And for peak-valley electric energy than low
In the situation of k, the average electric degree electricity price of client illustrates that the client performs tou power price Policy Effect preferable less than usually section electricity price；
Conversely, client's grid electricity fee cost less holds tou power price need to increase grid electricity fee cost.
Transformer selection capacity optimization analysis：Transformer capacity selected conference increase equipment purchasing, installation and operation to tie up
Shield cost, causes fund to waste；Capacity is too small, it is impossible to meet the need for electricity of client, and overlond running even causes device damage.
Load factor, the actual requirement of transformer are analyzed, so as to judge the selection of transformer be by gathering customer electricity data in this visual angle
It is no appropriate, and the recent electricity consumption data of client is utilized, realize pause, volume reduction, change the monthly billing electricity after transformer (model, capacity)
Take, the book establishment of support electricity consumption Optimizing Suggestions.Comprise the following steps that：
According to customer electricity data, analysis transformer load rate (load factor=actual load/rated load * 100%)；Root
Become device load factor, actual requirement, application requirement according to client to judge whether in more economical running status, if actual requirement is not
It is and is designated and does not meet standard client；Determine Optimized Measures, by actual conditions for client provides counter-measure, including pause,
The modes such as volume reduction, replacing transformer, and electric cost expenditure comparative analysis data after implementation are calculated, it is that customer electricity Optimizing Suggestions book is carried
For support.
Power factor (PF) is analyzed：By calculating client's functional factor of customer electricity data, and with mean power factor index
Contrasted, recognized undesirable client, electricity consumption Optimizing Suggestions are formulated by family for specialized department, comprised the following steps that：
Enterprise's mean power factor is calculated by enterprise's active, idle power consumption monthly, formula is tan φ=without function
Electricity/active power consumption, can be converted into cos φ with trigonometric function, and this value is the of that month mean power factor of enterprise；By enterprise
Of that month mean power factor is compared with calibration power factor, if exceeding critical field, identifies the client not meet
It is required that client；Determine Optimized Measures, be client by function is improved because rate number determines compensation capacity and idle pay off period
Electricity consumption Optimizing Suggestions book provides support.
S203, according to analyze data determine there is the corresponding original user electric power data of electricity consumption abnormal behavior suspicion.
S204, there will be the corresponding original user power-related data of electricity consumption abnormal behavior suspicion and analyze data storage
In oracle database.
S205, anomaly analysis are carried out to there is the corresponding original user power-related data of electricity consumption abnormal behavior suspicion, and
Electricity consumption abnormal behavior analysis result is stored to oracle database.
S206, in the absence of the corresponding original user power-related data of electricity consumption abnormal behavior suspicion according to preserve data
Preset Time, deleted using the roll mode of first in first out.
It should be noted that original user data is input into using the principle of first in first out, then for normal user data not
Longer-term storage is carried out, can be such as set to retain nearest 30 days, using the roll mode of first in first out according to the setting for preserving data
Normal user data is deleted, system carries out the analysis of electricity consumption abnormal behavior suspicion just for user is specially become, be also not required to store distribution transforming
The load data of user.
S207, there will be the corresponding original user electric power data of electricity consumption abnormal behavior suspicion, analyze data and electricity consumption row
It is anomaly analysis result, according to preset security operation standard, provides the user visual presentation.
By the way that to user's branch trade, sub-category, precision, Personalized service can be carried out, by data analysis, it is
User comprehensively " physical examination ", by means of power in the quick characteristic of internet, according to safe operation standard, for client provides evaluation, carry
Interaction is carried out for friendly interface, a kind of active, Butler-type service mode, the new city of power-assisted power marketing work off field is set up
Make.
In the present embodiment, accompanying drawing 3 is referred to, Fig. 3 is power customer electricity consumption behavioural analysis side provided in an embodiment of the present invention
The flow chart of data processing schematic diagram of method.Specifically, the data that data processor real-time reception data syn-chronization program is sended over
File, log-on data treatment；Real-time processing：Data-driven is used for data identification, event analysis, equilibrium analysis, it is complete in real time
Into data processing；Timed task：Processed using timed task for historical data analysis, comprehensive assessment.
The present invention discloses a kind of power customer electricity consumption behavior analysis method, and this method fusion big data technology, internet are thought
Contacting between dimension and customer service business, according to service management demand, to market trend, customer demand, from big data
The product of digitization is obtained using data tool analysis, various dimensions is carried out to the electricity consumption situation of user, multi-level, become more meticulous figure
Represent, and the power marketing service for becoming more meticulous is provided the user by personalized customization, for the management of lifting Utilities Electric Co., consolidate
Gu good service provided auxiliary decision-making.
The present invention also discloses a kind of system on the basis of method disclosed above.
Accompanying drawing 4 is referred to, Fig. 4 shows for a kind of power customer electricity consumption behavior analysis system structure provided in an embodiment of the present invention
It is intended to.As shown in figure 4, the invention discloses a kind of power customer electricity consumption behavior analysis system, the system concrete structure is included such as
Under：
Acquiring unit 401, for periodically being obtained in the middle of user power utilization information acquisition system by real-time task scheduling technology
Original user power-related data in database；
Analytic unit 402, data cleansing and data are carried out for being precipitated by data to original user power-related data
A pretreatment is buried, original user power-related data analyze data after treatment is obtained；
Determining unit 403, for determining there is the corresponding original use of electricity consumption abnormal behavior suspicion according to analyze data
Family electric power data；
Memory cell 404, for there will be the corresponding original user power-related data of electricity consumption abnormal behavior suspicion and
Analyze data is stored in oracle database.
Each module in due to the present embodiment is able to carry out the method shown in Fig. 1, the part that the present embodiment is not described in detail,
Refer to the related description to Fig. 1.
The present invention discloses a kind of power customer electricity consumption behavior analysis system, and the system fusion big data technology, internet are thought
Contacting between dimension and customer service business, according to service management demand, to market trend, customer demand, from big data
The product of digitization is obtained using data tool analysis, various dimensions is carried out to the electricity consumption situation of user, multi-level, become more meticulous figure
Represent, and the power marketing service for becoming more meticulous is provided the user by personalized customization, for the management of lifting Utilities Electric Co., consolidate
Gu good service provided auxiliary decision-making.
Accompanying drawing 5 is referred to, Fig. 5 shows for a kind of power customer electricity consumption behavior analysis system structure provided in an embodiment of the present invention
It is intended to.As shown in figure 5, the invention discloses a kind of power customer electricity consumption behavior analysis system, the system concrete structure is included such as
Under：
Acquiring unit 501, for periodically being obtained in the middle of user power utilization information acquisition system by real-time task scheduling technology
Original user power-related data in database；
Analytic unit 502, data cleansing and data are carried out for being precipitated by data to original user power-related data
A pretreatment is buried, original user power-related data analyze data after treatment is obtained；
Determining unit 503, for determining there is the corresponding original use of electricity consumption abnormal behavior suspicion according to analyze data
Family electric power data；
Memory cell 504, for there will be the corresponding original user power-related data of electricity consumption abnormal behavior suspicion and
Analyze data is stored in oracle database.
Anomaly analysis unit 505, for there is the corresponding original user power-related data of electricity consumption abnormal behavior suspicion
Anomaly analysis are carried out, and electricity consumption abnormal behavior analysis result is stored to oracle database；
Unit 506 is deleted, for in the absence of the corresponding original user power-related data of electricity consumption abnormal behavior suspicion
According to the Preset Time for preserving data, deleted using the roll mode of first in first out；
Display unit 507, for there will be the corresponding original user electric power data of electricity consumption abnormal behavior suspicion, analysis
Data and electricity consumption abnormal behavior analysis result, according to preset security operation standard, provide the user visual presentation.
Each module in due to the present embodiment is able to carry out the method shown in Fig. 2, the part that the present embodiment is not described in detail,
Refer to the related description to Fig. 2.
Specifically, referring to accompanying drawing 6, Fig. 6 is power customer electricity consumption behavior analysis system provided in an embodiment of the present invention
General frame schematic diagram.Specific power customer electricity consumption behavior analysis method as shown in fig. 1, is no longer illustrated herein.
The present invention with good service as starting point, agree with current power sales Competitive Needs, adapt to user it is growing
Energy management demand, by means of " internet+" situation under " quick, efficient " personalized service, can fully excavate marketing
The potential value of the available datas such as system, power information acquisition system, effectively wakes up the data assets being sunk into sleep, and goes out from big data
Hair, the product of digitization is drawn using mathematical tool analysis method, provides auxiliary to lift company management management, consolidating good service
Help decision-making.
1st, consolidate, seize power sales：Managed by the energy integration analysis to user, can be using internet as user
The extension of service platform, improves client's interdependency, consolidates and seize power sales.
2nd, existing user satisfaction is lifted：Generally there is interest in user, but most users receive to itself electricity consumption situation
Data deficiencies and analysis ability missing are formed on, it is difficult to have comprehensive and deep understanding to itself electricity consumption situation.It is actively customer volume
Body is customized to use electrically optimized analysis, there is provided conductive suggestion, reaches auxiliary user and reduces electricity charge spending, lifts scientific utilization of electricity level
Purpose, consolidates lifting user power utilization satisfaction.
3rd, energy-saving and emission-reduction, Stiffness agent：By the good interaction with user, brand-new service mode can be explored, needed
The fields such as side energy management, electric energy are substituted, comprehensive energy is managed are asked to pioneer and invent, lifting houses market is worth and social competition
Power.
The present invention discloses a kind of power customer electricity consumption behavior analysis system, and the system fusion big data technology, internet are thought
Contacting between dimension and customer service business, according to service management demand, to market trend, customer demand, from big data
The product of digitization is obtained using data tool analysis, various dimensions is carried out to the electricity consumption situation of user, multi-level, become more meticulous figure
Represent, and the power marketing service for becoming more meticulous is provided the user by personalized customization, for the management of lifting Utilities Electric Co., consolidate
Gu good service provided auxiliary decision-making.
In sum, the present invention discloses a kind of power customer electricity consumption behavior analysis method and system, and the method includes：Pass through
Real-time task scheduling periodically obtains original user power-related data；Original user power-related data is carried out data precipitation and
Data bury a pretreatment, obtain analyze data after treatment；Determine there is electricity consumption abnormal behavior suspicion according to analyze data
Corresponding original user electric power data；There will be the corresponding original user power-related data of electricity consumption abnormal behavior suspicion and divide
Analysis data storage is in oracle database.Present invention fusion big data technology, between internet thinking and customer service business
Contact, according to service management demand, to market trend, customer demand, is counted from big data using data tool analysis
According to the product changed, various dimensions are carried out to the electricity consumption situation of user, multi-level, become more meticulous pattern exhibition, and by personalized customization
The power marketing service for becoming more meticulous is provided the user, is determined to lift Utilities Electric Co.'s management, consolidating good service provided auxiliary
Plan.
It should be noted that each embodiment in this specification is described by the way of progressive, each embodiment weight
Point explanation is all difference with other embodiment, between each embodiment identical similar part mutually referring to.
Method proposed by the invention is exemplarily described above in association with accompanying drawing, the explanation of above example is
It is used to help understand core concept of the invention.For those of ordinary skill in the art, according to thought of the invention, specific
Be will change in implementation method and range of application.In sum, this specification content should not be construed as to of the invention
Limitation.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or uses the present invention.
Various modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, the present invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The scope most wide for causing.
Claims (9)
1. a kind of power customer electricity consumption behavior analysis method, it is characterised in that including：
The original user electricity in user power utilization information acquisition system intermediate database is periodically obtained by real-time task scheduling technology
Power related data；
Data cleansing is carried out to the original user power-related data by data precipitation and data bury a pretreatment, obtain institute
State original user power-related data analyze data after treatment；
Determine there is the corresponding original user electric power data of electricity consumption abnormal behavior suspicion according to the analyze data；
There is the corresponding original user power-related data of electricity consumption abnormal behavior suspicion and the analyze data by described
Storage is in oracle database.
2. power customer electricity consumption behavior analysis method according to claim 1, it is characterised in that described to be precipitated by data
Data precipitation is carried out to the original user power-related data and data bury a pretreatment, obtain the original user electric power phase
Data analyze data after treatment is closed, including：Period electricity consumption proportion grading, transformer selection capacity optimization analysis and work(
Rate factor analysis.
3. power customer electricity consumption behavior analysis method according to claim 1, it is characterised in that also include：
There is the corresponding original user power-related data of electricity consumption abnormal behavior suspicion and carry out anomaly analysis to described, and will
Electricity consumption abnormal behavior analysis result is stored to the oracle database.
4. power customer electricity consumption behavior analysis method according to claim 1, it is characterised in that also include：
For in the absence of the corresponding original user power-related data of electricity consumption abnormal behavior suspicion according to preserve data it is pre-
If the time, deleted using the roll mode of first in first out.
5. power customer electricity consumption behavior analysis method according to claim 2, it is characterised in that also include：
There is the corresponding original user electric power data of electricity consumption abnormal behavior suspicion, the analyze data and described by described
Electricity consumption abnormal behavior analysis result, according to preset security operation standard, provides the user visual presentation.
6. a kind of power customer electricity consumption behavior analysis system, it is characterised in that including：
Acquiring unit, for periodically obtaining the original in user power utilization information acquisition system intermediate database by real-time task scheduling
Beginning custom power related data；
Analytic unit, to the original user power-related data data cleansing is carried out and data are buried a little for being precipitated by data
Pretreatment, obtains original user power-related data analyze data after treatment；
Determining unit, for determining there is the corresponding original user electricity of electricity consumption abnormal behavior suspicion according to the analyze data
Force data；
Memory cell, for by it is described exist the corresponding original user power-related data of electricity consumption abnormal behavior suspicion and
The analyze data storage is in oracle database.
7. power customer electricity consumption behavior analysis system according to claim 6, it is characterised in that also include：
Anomaly analysis unit, for there is the corresponding original user power-related data of electricity consumption abnormal behavior suspicion to described
Anomaly analysis are carried out, and electricity consumption abnormal behavior analysis result is stored to the oracle database.
8. power customer electricity consumption behavior analysis system according to claim 6, it is characterised in that also include：
Delete unit, for in the absence of the corresponding original user power-related data of electricity consumption abnormal behavior suspicion according to
The Preset Time of data is preserved, is deleted using the roll mode of first in first out.
9. power customer electricity consumption behavior analysis system according to claim 7, it is characterised in that also include：
Display unit, for by it is described exist the corresponding original user electric power data of electricity consumption abnormal behavior suspicion, described point
Analysis data and the electricity consumption abnormal behavior analysis result, according to preset security operation standard, provide the user visual presentation.
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