CN108564418A - A kind of power marketing customer profile analysis method based on address big data analysis - Google Patents
A kind of power marketing customer profile analysis method based on address big data analysis Download PDFInfo
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Abstract
The power marketing customer profile analysis method based on address big data analysis that the invention discloses a kind of, specifically includes following steps：(1) acquisition and association of address date：The address date of user registration data is acquired, while being obtained from Cloud Server by big data service and being used for address big data, the address date of user is checked and is associated with by cloud computing platform；(2) customer profile is classified：(3) analysis of power utilization environment：(4) analysis system is established：Establish statistical form for load nature of electricity consumed, electricity consumption and electricity consumption rule, and with the label category associations in customer profile, in order to transfer corresponding information according to label；(5) file is automatically generated.The present invention is by textural classification to customer profile and refinement, so as to quickly by data structured and visualization, be conducive to the real-time and accurate power information for understanding user, formulate the power program met customer need, improve the benefit that power marketing is brought.
Description
Technical field
The present invention relates to power marketing field, specifically a kind of power marketing customer profile based on address big data analysis
Analysis method.
Background technology
Power marketing refers in continually changing electricity market, centered on power customer demand, by being closed for electricity consumption
System, enables the electricity commodity that power consumer is safe to use, reliable, qualified, economic, and obtains thoughtful, satisfied service.Pass through
Theory to power marketing and case study allow user to be better understood from the advantage and disadvantage of such marketing.
For many years, electric power enterprise " seller's market " that supply falls short of demand makes electric power enterprise employee be formed and thinks little of user demand
The style, cause enterprise there is be produced as be oriented to power marketing idea.Simultaneously also in that electric power enterprise is believed in client
Missing on breath and think little of.
And with the development of internet and the universal and application of big data, power marketing department needs according to big data
The marketing program of itself adjusted in time, and most effective way is the server of big data combination partial power to obtain user
Power information for finding electrical problem in real time, while can also give user and rationally make to reasonably analyzing electricity consumption data
Standby electricity scheme.
Invention content
The purpose of the present invention is to provide a kind of optimization user power utilization data structures, while data are more concentrated, more directly
The reaction electrical problem of sight, and the power marketing customer profile analysis method based on address big data analysis, it is above-mentioned to solve
The problem of being proposed in background technology.
To achieve the above object, the present invention provides the following technical solutions：
A kind of power marketing customer profile analysis method based on address big data analysis, based on cloud computing platform, big number
According to the data interchange and cooperation of service and Utilities Electric Co.'s server, following steps are specifically included：
(1) acquisition and association of address date：The address date of user registration data is acquired, while passing through big data service
It is obtained from Cloud Server and is used for address big data, the address date of user is checked and is associated with by cloud computing platform；
(2) customer profile is classified：The number of the related electricity consumption stored in acquisition user registration data and Utilities Electric Co.'s server
According to cloud computing platform extracts the keyword in customer profile and is recorded as label, and keyword includes：Belonging to load nature of electricity consumed, client
Industry, electricity consumption credit worthiness, location；
(3) analysis of power utilization environment：Cloud computing platform reads sole user's from Utilities Electric Co.'s server connected to it
Then the electricity consumption data of electricity consumption data and each region utilizes cloud computing platform to calculate and arranges the electricity consumption rule of sole user and whole
The electricity consumption rule in a area；
(4) analysis system is established：Establish statistical form for load nature of electricity consumed, electricity consumption and electricity consumption rule, and with client's shelves
Label category associations in case, in order to transfer corresponding information according to label；
Load nature of electricity consumed：Commercial power, civilian electricity；
Electricity consumption：The moon electricity consumption and year electricity consumption of sole user；The moon electricity consumption and year electricity consumption in area；
Electricity consumption rule：For sole user and less than according to electricity consumption per hour carry out electricity statistics, to realize to
The monitoring of electricity, while the peak period and low peak period of electricity consumption can be obtained, so as to more accurately client be instructed to use
Electricity；
By the ID card No. of each user and electrical property, electricity consumption and electricity consumption rule rule；
National all areas electricity consumption is ranked up；
User power consumption in each region is ranked up；
The electricity consumption of sole user's different zones is ranked up；
The power output of power consumption and electricity consumption company to user carries out two level comparison, determines electrical safety；
(5) file is automatically generated：According to the combination of selection label, different files is generated.
As a further solution of the present invention：In the step (1), during registered with information, user is allowed
Filled up a form by the way of hand-written, then staff by high photographing instrument record user it is hand-written after form Image, simultaneously
User information is entered into customer record management system by staff；Then each user is in customer record management system
The picture association that information takes with corresponding high photographing instrument, and data packing is stored in the reservoir of Utilities Electric Co.'s server, root
According to address name and ID card No. to packaging file automatic numbering, in order to the lookup and update of data；
As a further solution of the present invention：In the step (1), user data is in update, according to the sequence of time
The data at old time point are directly replaced using the data at new time point, while time data being written in the attribute of packaging file.
As a further solution of the present invention：In the step (1), six are carried out to the registered address in user registration data
Bit digital address code encodes, and is associated with six bit digital address codes in relevant person in charge identity card；
As further scheme of the invention：Electricity consumption credit worthiness is paid according to the previous electricity charge of user in the step (2)
The case where receiving is evaluated, and for user, there may be many places house property and factories and miness in previous power purchase and electricity consumption situation, to depositing
Record is carried out in the case where non-electricity payment and is bound with user identity card；
As further scheme of the invention：It is needed according to address big data in the classification of documents in the step (2)
Judgement is compared to the information of load nature of electricity consumed in the address information of offer, to ensure that information is consistent, otherwise i.e. according to reality
Situation carries out load nature of electricity consumed modification.
As a further solution of the present invention：Two level in the step (4), which compares, is：Regularly by a region from
Collected electricity and the total electricity conveyed into the area with power station are carried out for when electricity error is in normally consume model at user
In enclosing, then illustrate that electricity consumption is normal in region；And when electricity error exceeds normal losing quantity, it can be by being concentrated to each electricity consumption
Device and the corresponding user power consumption of electricity consumption concentrator and compared, personnel's fixed point monitoring of then arranging work again, to contract
The small range for searching reason.
As a further solution of the present invention：The file generated in the step (5) includes year, season and monthly user
Payment inventory, the charge monthly in electricity consumption report and electricity consumption risk assessment and region summarize, electricity consumption classification and electricity consumption
Statistics.
Compared with prior art, the beneficial effects of the invention are as follows：
The present invention realizes the shelves of power marketing client using cloud computing platform, big data service and Utilities Electric Co.'s server
Case is analyzed, and in order to improve the accuracy of information in customer profile, while also facilitating Utilities Electric Co. to user power utilization information
It obtains；Textural classification and refinement of the invention simultaneously by customer profile, so as to quickly by data structured and shape
As changing, is conducive to the real-time and accurate power information for understanding user, formulates the power program met customer need, improve electric power
The benefit that marketing is brought.
Specific implementation mode
Described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on the present invention
In embodiment, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
In the embodiment of the present invention, a kind of power marketing customer profile analysis method based on address big data analysis is based on
Cloud computing platform, the data interchange of big data service and Utilities Electric Co.'s server and cooperation, specifically include following steps：
(1) acquisition and association of address date：The address date of user registration data is acquired, while passing through big data service
It is obtained from Cloud Server and is used for address big data, the address date of user is checked and is associated with by cloud computing platform；
During registered with information, user is allowed to fill up a form by the way of hand-written, then staff is logical
Cross high photographing instrument record user it is hand-written after form Image, work at the same time personnel and user information be entered into customer record management system
In system；Then the picture association that information of each user in customer record management system takes with corresponding high photographing instrument, and number
It is stored in the reservoir of Utilities Electric Co.'s server according to being packaged, packaging file is compiled automatically according to address name and ID card No.
Number, in order to search and update；
Six bit digital address codes coding is carried out to the registered address in user registration data simultaneously, typing can be improved and looked into
The speed read also effectively reduces the storage space of needs, facilitates work-up operating system, and in relevant person in charge identity card
Six bit digital address codes be associated (it is responsible can be it is personal, can also be business entity, be conducive to establish an electricity consumption
Credit system), to improve the security level of system, while it being also beneficial to the quick search of the same responsible person more ground electricity consumption,
Six bit digital address codes use【National Standard of the People's Republic of China GB11643-1999】In the rule in relation to citizenship number
It is fixed；
User data directly replaces the number at old time point according to the sequence of time in update using the data at new time point
According to, while time data being written in the attribute of packaging file；
(2) customer profile is classified：The number of the related electricity consumption stored in acquisition user registration data and Utilities Electric Co.'s server
According to cloud computing platform extracts the keyword in customer profile and is recorded as label, and keyword includes：Belonging to load nature of electricity consumed, client
Industry, electricity consumption credit worthiness, location etc.；
Wherein electricity consumption credit worthiness is evaluated the case where being paid according to the previous electricity charge of user, because many users are previous
Power purchase and electricity consumption situation in there may be many places house property and factories and miness, to there is non-electricity payment the case where carry out record and with
Family identity card is bound, while electricity consumption credit worthiness is chosen as difference, so that user can understand in time when newly handling power purchase
Previous electricity consumption situation；
The address information provided according to address big data is needed to carry out the information such as load nature of electricity consumed in the classification of documents simultaneously
Otherwise contrast judgement carries out load nature of electricity consumed modification to ensure that information is consistent according to actual conditions；
(3) analysis of power utilization environment：Cloud computing platform reads sole user's from Utilities Electric Co.'s server connected to it
Then the electricity consumption data (including time and electricity consumption) of electricity consumption data (including time and electricity consumption) and each region utilizes cloud meter
Calculate platform calculate arrange sole user electricity consumption rule and regional electricity consumption rule (using the time as X-axis, the unit moon；With with
Electricity is Y-axis, when per kilowatt)；
The electricity consumption rule of sole user and regional electricity consumption rule are directly acquired by power grid, are conducive to power marketing
It is directed to area and personal formulation electric power seller case and power program in the process, is such as adopted in the electricity price of regional peak times of power consumption electricity consumption
With the incremental mode of interval type, and preferential electricity price is used in the electricity price of regional electricity consumption low peak period electricity consumption, is conducive to client according to being
The rational electricity consumption of simple selection, and record such as archives；
(4) analysis system is established：Establish statistical form for load nature of electricity consumed, electricity consumption and electricity consumption rule, and with client's shelves
Label category associations in case, in order to transfer corresponding information according to label；
Load nature of electricity consumed：Commercial power, civilian electricity；
Electricity consumption：The moon electricity consumption and year electricity consumption of sole user；The moon electricity consumption and year electricity consumption in area；
Electricity consumption rule：For sole user and less than according to electricity consumption per hour carry out electricity statistics, to realize to
The monitoring of electricity, while the peak period and low peak period of electricity consumption can be obtained, so as to more accurately client be instructed to use
Electricity；
By the ID card No. of each user and electrical property, electricity consumption and electricity consumption rule rule；
National all areas electricity consumption is ranked up；
User power consumption in each region is ranked up；
The electricity consumption of sole user's different zones is ranked up；
Simultaneously regularly by a region from user collected electricity and the total electricity conveyed into the area with power station
Amount is carried out for when electricity error is in normal exhaustion range, then illustrating that electricity consumption is normal in region；And when electricity error is beyond just
When normal losing quantity, can by each electricity consumption concentrator and the corresponding user power consumption of electricity consumption concentrator and compare,
Then personnel's fixed point monitoring of arranging work again improves the efficiency solved the problems, such as, also improves to reduce the range for searching reason
The efficiency of management of Utilities Electric Co..
It is convenient for the data statistics structure of observation and analysis by establishing, is preferably use in order to preferably analyze data
Family provides service.
(5) file is automatically generated：According to year, season and the monthly payment inventory for generating user, monthly electricity consumption report, use
Charge in risk assessment etc. and region summarizes, electricity consumption is classified, electricity consumption counts etc..
The present invention realizes the shelves of power marketing client using cloud computing platform, big data service and Utilities Electric Co.'s server
Case is analyzed, and in order to improve the accuracy of information in customer profile, while also facilitating Utilities Electric Co. to user power utilization information
It obtains；Textural classification and refinement of the invention simultaneously by customer profile, so as to quickly by data structured and shape
As changing, is conducive to the real-time and accurate power information for understanding user, formulates the power program met customer need, improve electric power
The benefit that marketing is brought.
Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art,
It still can be with technical scheme described in the above embodiments is modified, or is carried out to which part technical characteristic etc.
With replacing, all within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in this
Within the protection domain of invention.
Claims (8)
1. a kind of power marketing customer profile analysis method based on address big data analysis, based on cloud computing platform, big data
The data interchange and cooperation of service and Utilities Electric Co.'s server, which is characterized in that specifically include following steps：
(1) acquisition and association of address date：The address date of user registration data is acquired, while by big data service from cloud
Server, which obtains, is used for address big data, and the address date of user is checked and is associated with by cloud computing platform；
(2) customer profile is classified：The data of the related electricity consumption stored in acquisition user registration data and Utilities Electric Co.'s server, cloud
Computing platform extracts the keyword in customer profile and is recorded as label, and keyword includes：Load nature of electricity consumed, the affiliated industry of client,
Electricity consumption credit worthiness, location；
(3) analysis of power utilization environment：Cloud computing platform reads the electricity consumption of sole user from Utilities Electric Co.'s server connected to it
The electricity consumption data of data and each region, then using the electricity consumption rule of cloud computing platform calculating arrangement sole user and entirely
The electricity consumption rule in area；
(4) analysis system is established：Establish statistical form for load nature of electricity consumed, electricity consumption and electricity consumption rule, and in customer profile
Label category associations, in order to transfer corresponding information according to label；
Load nature of electricity consumed：Commercial power, civilian electricity；
Electricity consumption：The moon electricity consumption and year electricity consumption of sole user；The moon electricity consumption and year electricity consumption in area；
Electricity consumption rule：Electricity statistics is carried out for sole user and less than according to electricity consumption per hour, to realize to electricity consumption
Monitoring, while the peak period and low peak period of electricity consumption can be obtained, so as to more accurately instruct client to carry out electricity consumption；
By the ID card No. of each user and electrical property, electricity consumption and electricity consumption rule rule；
National all areas electricity consumption is ranked up；
User power consumption in each region is ranked up；
The electricity consumption of sole user's different zones is ranked up；
The power output of power consumption and electricity consumption company to user carries out two level comparison, determines electrical safety；
(5) file is automatically generated：According to the combination of selection label, different files is generated.
2. the power marketing customer profile analysis method according to claim 1 based on address big data analysis, feature
It is, in the step (1), during registered with information, user is allowed to fill up a form by the way of hand-written, then
Staff by high photographing instrument record user it is hand-written after form Image, work at the same time personnel and user information be entered into client
In archive management system；Then the picture that information of each user in customer record management system takes with corresponding high photographing instrument
Association, and data packing is stored in the reservoir of Utilities Electric Co.'s server, according to address name and ID card No. to being packaged
File automatic numbering, in order to the lookup and update of data.
3. the power marketing customer profile analysis method according to claim 1 based on address big data analysis, feature
It is, in the step (1), user data is directly replaced using the data at new time point in update according to the sequence of time
The data at old time point, while time data being written in the attribute of packaging file.
4. the power marketing customer profile analysis method according to claim 1 based on address big data analysis, feature
Be, in the step (1), in user registration data registered address carry out six bit digital address codes coding, and to it is related
Six bit digital address codes in responsible person's identity card are associated.
5. the power marketing customer profile analysis method according to claim 1 based on address big data analysis, feature
Be, electricity consumption credit worthiness is evaluated the case where being paid according to the previous electricity charge of user in the step (2), for user with
Toward power purchase and electricity consumption situation in there may be many places house property and factories and miness, to there is non-electricity payment the case where carry out record and with
User identity card is bound.
6. the power marketing customer profile analysis method according to claim 1 based on address big data analysis, feature
It is, letter of the address information provided according to address big data to load nature of electricity consumed is provided in the step (2) in the classification of documents
Judgement is compared in breath, to ensure that information is consistent, otherwise carries out load nature of electricity consumed modification according to actual conditions.
7. the power marketing customer profile analysis method according to claim 1 based on address big data analysis, feature
It is, the two level comparison in the step (4) is：Regularly by a region from user collected electricity and and power station
The total electricity that is conveyed into the area is carried out for when electricity error is in normal exhaustion range, then illustrating that electricity consumption is normal in region；
And when electricity error exceeds normal losing quantity, it can be by using each electricity consumption concentrator and the corresponding user of electricity consumption concentrator
Electricity and compared, personnel's fixed point monitoring of then arranging work again, to reduce search reason range.
8. the power marketing customer profile analysis method according to claim 1 based on address big data analysis, feature
Be, the file generated in the step (5) include year, season and the payment inventory of monthly user, monthly electricity consumption report and
Charge in electricity consumption risk assessment and region summarizes, electricity consumption classification and electricity consumption count.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109615559A (en) * | 2018-12-11 | 2019-04-12 | 北京沃尔斯特新技术有限公司 | A kind of generaI investigation of water utilities user's big data and method for digging based on space address information |
| CN109635056A (en) * | 2018-11-16 | 2019-04-16 | 海南电网有限责任公司信息通信分公司 | Electricity consumption address date processing method, device, computer equipment and storage medium |
| CN110443722A (en) * | 2019-07-02 | 2019-11-12 | 深圳供电局有限公司 | Virtual power plant electric power data processing method, system and equipment |
| CN110674636A (en) * | 2019-09-02 | 2020-01-10 | 中国南方电网有限责任公司 | Power utilization behavior analysis method |
| CN110940853A (en) * | 2019-11-05 | 2020-03-31 | 深圳供电局有限公司 | Measurement method and system for saving electric power |
| CN111311089A (en) * | 2020-02-12 | 2020-06-19 | 深圳供电局有限公司 | Big data statistical method and system of power Internet of things |
| CN112507119A (en) * | 2021-01-16 | 2021-03-16 | 鸣飞伟业技术有限公司 | Intelligent classification device and method for digital files |
| CN113064938A (en) * | 2021-03-31 | 2021-07-02 | 深圳供电局有限公司 | Power consumer electricity utilization business behavior analysis method and system |
-
2018
- 2018-04-27 CN CN201810396844.0A patent/CN108564418A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109635056A (en) * | 2018-11-16 | 2019-04-16 | 海南电网有限责任公司信息通信分公司 | Electricity consumption address date processing method, device, computer equipment and storage medium |
| CN109615559A (en) * | 2018-12-11 | 2019-04-12 | 北京沃尔斯特新技术有限公司 | A kind of generaI investigation of water utilities user's big data and method for digging based on space address information |
| CN110443722A (en) * | 2019-07-02 | 2019-11-12 | 深圳供电局有限公司 | Virtual power plant electric power data processing method, system and equipment |
| CN110674636A (en) * | 2019-09-02 | 2020-01-10 | 中国南方电网有限责任公司 | Power utilization behavior analysis method |
| CN110674636B (en) * | 2019-09-02 | 2023-06-20 | 中国南方电网有限责任公司 | Power consumption behavior analysis method |
| CN110940853A (en) * | 2019-11-05 | 2020-03-31 | 深圳供电局有限公司 | Measurement method and system for saving electric power |
| CN111311089A (en) * | 2020-02-12 | 2020-06-19 | 深圳供电局有限公司 | Big data statistical method and system of power Internet of things |
| CN111311089B (en) * | 2020-02-12 | 2023-06-09 | 深圳供电局有限公司 | Big data statistics method and system for electric power Internet of things |
| CN112507119A (en) * | 2021-01-16 | 2021-03-16 | 鸣飞伟业技术有限公司 | Intelligent classification device and method for digital files |
| CN113064938A (en) * | 2021-03-31 | 2021-07-02 | 深圳供电局有限公司 | Power consumer electricity utilization business behavior analysis method and system |
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