CN109993433A - A kind of electricity consumption payment management method and device based on cloud platform - Google Patents
A kind of electricity consumption payment management method and device based on cloud platform Download PDFInfo
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- CN109993433A CN109993433A CN201910251452.XA CN201910251452A CN109993433A CN 109993433 A CN109993433 A CN 109993433A CN 201910251452 A CN201910251452 A CN 201910251452A CN 109993433 A CN109993433 A CN 109993433A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention discloses a kind of electricity consumption payment management method and device based on cloud platform, this method comprises: receiving the credit demographic categories of setting；The power information for receiving the credit group of the different classifications of power information acquisition system acquisition, establishes the history power information database of every class credit group；The normal duty curve of every class credit group is respectively obtained according to the power information in history power information database；Subscriber payment historical behavior data are received, determine the subscriber payment risk of every class credit group using the subscriber payment risk model of the every class credit group pre-established according to subscriber payment historical behavior；Receive credit demographic categories belonging to the real-time power information of user and the user, according to the real-time power information of the user in certain time establish real-time load curve and the user belonging to credit demographic categories normal duty curve comparison, if fluctuation is greater than first threshold and/or subscriber payment risk is greater than second threshold, payment warning message is sent.
Description
Technical field
The disclosure belongs to the technical field of electricity consumption payment, is related to a kind of electricity consumption payment management method and dress based on cloud platform
It sets.
Background technique
Only there is provided background technical informations relevant to the disclosure for the statement of this part, it is not necessary to so constitute first skill
Art.
Tariff recovery is the guarantee of power supply enterprise's normal operation, however, inventor has found in R&D process, due to first using
The property paid the fees after electricity, there are the tariff recovery period it is long, urge expense channel not smooth the problems such as, these problems long-standing problem power supply
Enterprise.In addition, lacking the means to the analysis of long-term arrearage data, differentiation risk prevention system strategy is not set up yet.It can only lead at present
The identification tariff recovery risk for arranging special personnel single by simple analysis tool is crossed, or is located by legal adviser
Manage relatively difficult tariff recovery.On the one hand it is carried out not according to information such as the basic condition of client, industrial characteristic, behavioral characteristics comprehensive
Analysis is closed, high risk client can not be accurately screened.On the other hand it relatively lags behind, does not have since risk prevention is all that post-processing is all
It is tangible succeed before effective early warning mechanism, cause to lack effectively, the specific aim prevention and control measure of timeliness, increase the operation of enterprise
Risk.
As the depth of smart grid construction promotes, power supply enterprise starts to build with all strength with " all standing, full acquisition, in full
Control " is the intelligent electricity consumption information acquisition system of target, is applied with intelligent electric meter as starting point, is realized from simple electric quantity acquisition to user
Side comprehensive data acquisition, user power utilization management transformation, realize efficiently, economic, intelligentized power grid application.In this development situation
Under, on the one hand new business model will generate revolutionary impact and change to the traditional business model of power marketing, traditional
Business is accepted, and meter reading accounting, charges, urges expense, stopping telegram in reply business, measuring asset management, the business models such as customer service all without
The needs of method adaptation new technology and new paragon；On the other hand with cloud platform, the development of intelligent electric meter technology and maturation and use
The promotion of family side comprehensive data acquisition, will for power supply enterprise improve electricity charge risk control ability, promoted level of customer service and
Other fine-grained management create condition.
Summary of the invention
For the deficiencies in the prior art, one or more other embodiments of the present disclosure provide a kind of based on cloud platform
Electricity consumption payment management method and device, by expert data model analysis each in full-service data center, forming unified number
According to model, incidence relation between data is established, is formed comprising 500kV-10kV grid equipment account information, operation information, space letter
The integrated database of breath.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of electricity consumption payment pipe based on cloud platform is provided
Reason method.
A kind of electricity consumption payment management method based on cloud platform, this method are realized based on cloud platform, comprising:
Receive the credit demographic categories of setting；
The power information for receiving the credit group of the different classifications of power information acquisition system acquisition, establishes every class credit group
The history power information database of body；Every class credit group is respectively obtained according to the power information in history power information database
Normal duty curve；
Subscriber payment historical behavior data are received, according to subscriber payment historical behavior using the every class credit group pre-established
The subscriber payment risk model of body determines the subscriber payment risk of every class credit group；
Credit demographic categories belonging to the real-time power information of user and the user are received, it is real according to the user in certain time
When power information establish the normal duty curve comparisons of credit demographic categories belonging to real-time load curve and the user, if fluctuation
It is greater than second threshold greater than first threshold and/or the subscriber payment risk of affiliated credit demographic categories, then sends payment alarm
Information.
Further, in the method, the credit demographic categories include: that special user and the public affairs of becoming become user；The special change
User includes industrial electrical user, commercial electric power user and agricultural power supply user；The public change user includes residential power user.
Further, in the method, the power information includes the meter reading data, electricity data, function of user's electric energy meter
Rate data, voltage, electric current and power factor.
Further, in the method, the power information in the history power information database of every class credit group is done
Normalization calculates, and obtains the normal duty curve of every class credit group.
Further, in the method, the evaluation index of the special subscriber payment risk evaluation model for becoming user includes
Payment risk, behaviorist risk, environmental risk and other risks；
The evaluation index of the public family payment risk evaluation model for becoming user includes payment risk and behaviorist risk；
The payment risk includes promise breaking payment ratio, arrearage number, arrearage time percentage；The behaviorist risk includes disobeying
About electricity consumption number, power utility check mismatch number and safety accident number；The environmental risk includes industry competition degree, industry
Overall condition and Industry Policy；Other described risks include profit on sales, payback of assets and cash liability ratio.
Further, in the method, the real-time load curve and credit demographic categories belonging to the user is normal
The method that load curve compares are as follows: the normal duty curve of real-time load curve and credit demographic categories belonging to the user is maximum
The ratio between ratio and total amount between value and minimum value.
Further, in the method, the first threshold includes first special change user's threshold value and first public change user's threshold
Value.
Further, in the method, the payment warning message includes fee payment early warning information and payment warning message；
According to the real-time power information of the user in certain time establish real-time load curve and the user belonging to credit group
The normal duty curve comparison of body classification, if fluctuation is greater than the subscriber payment risk of first threshold or affiliated credit demographic categories
Greater than second threshold, then payment warning message is sent, then sends fee payment early warning information；
According to the real-time power information of the user in certain time establish real-time load curve and the user belonging to credit group
The normal duty curve comparison of body classification, if fluctuation is greater than the subscriber payment risk of first threshold and affiliated credit demographic categories
Greater than second threshold, then payment warning message is sent, then sends payment warning message.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of computer readable storage medium is provided.
A kind of computer readable storage medium, wherein being stored with a plurality of instruction, described instruction is suitable for by terminal device
Reason device loads and executes a kind of electricity consumption payment management method based on cloud platform.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of terminal device is provided.
A kind of terminal device comprising processor and computer readable storage medium, processor is for realizing each instruction；Meter
Calculation machine readable storage medium storing program for executing is suitable for being loaded by processor and being executed described one kind and is based on for storing a plurality of instruction, described instruction
The electricity consumption payment management method of cloud platform.
According to the one aspect of one or more other embodiments of the present disclosure, a kind of electricity consumption payment pipe based on cloud platform is provided
Manage device.
A kind of electricity consumption payment managing device based on cloud platform, is paid the fees based on a kind of electricity consumption based on cloud platform and is managed
Reason method, comprising:
Credit demographic categories setting module is configured as receiving the credit demographic categories of setting；
Normal duty curve establishes module, is configured as receiving the credit of the different classifications of power information acquisition system acquisition
The power information of group establishes the history power information database of every class credit group；According in history power information database
Power information respectively obtain the normal duty curve of every class credit group；
Subscriber payment risk establishes module, is configured as receiving subscriber payment historical behavior data, be gone through according to subscriber payment
History behavior determines the subscriber payment of every class credit group using the subscriber payment risk model of the every class credit group pre-established
Risk；
Electricity consumption payment management module, is configured as receiving credit group class belonging to the real-time power information of user and the user
Not, according to the real-time power information of the user in certain time establish real-time load curve and the user belonging to credit demographic categories
Normal duty curve comparison, if the subscriber payment risk that fluctuation is greater than first threshold and/or affiliated credit demographic categories is big
In second threshold, then payment warning message is sent.
The disclosure the utility model has the advantages that
A kind of electricity consumption payment management method and device based on cloud platform that the disclosure provides assesses client in real time and pays the fees and believe
With risk is collected in the reduction electricity charge, is established using user power utilization information acquisition system in conjunction with other credit appraisal modes of client
The subscriber payment risk model and real-time credit evaluation management method of every class credit group, can obtain the production shape of user in real time
Condition infers its credit standing of paying the fees in turn, is conducive to power supply enterprise and takes timely measure, visits and press for payment of the electricity charge.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation are not constituted an undue limitation on the present application for explaining the application.
Fig. 1 is a kind of electricity consumption payment management method flow chart based on cloud platform according to one or more embodiments.
Specific embodiment:
Below in conjunction with the attached drawing in one or more other embodiments of the present disclosure, to one or more other embodiments of the present disclosure
In technical solution be clearly and completely described, it is clear that described embodiments are only a part of the embodiments of the present invention,
Instead of all the embodiments.Based on one or more other embodiments of the present disclosure, those of ordinary skill in the art are not being made
Every other embodiment obtained, shall fall within the protection scope of the present invention under the premise of creative work.
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms that the present embodiment uses have and the application person of an ordinary skill in the technical field
Normally understood identical meanings.
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
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
It should be noted that flowcharts and block diagrams in the drawings show according to various embodiments of the present disclosure method and
The architecture, function and operation in the cards of system.It should be noted that each box in flowchart or block diagram can represent
A part of one module, program segment or code, a part of the module, program segment or code may include one or more
A executable instruction for realizing the logic function of defined in each embodiment.It should also be noted that some alternately
Realization in, function marked in the box can also occur according to the sequence that is marked in attached drawing is different from.For example, two connect
The box even indicated can actually be basically executed in parallel or they can also be executed in a reverse order sometimes,
This depends on related function.It should also be noted that each box and flow chart in flowchart and or block diagram
And/or the combination of the box in block diagram, the dedicated hardware based system that functions or operations as defined in executing can be used are come
It realizes, or the combination of specialized hardware and computer instruction can be used to realize.
In the absence of conflict, the feature in the embodiment and embodiment in the disclosure can be combined with each other, and tie below
It closes attached drawing and embodiment is described further the disclosure.
Embodiment one
According to the one aspect of one or more other embodiments of the present disclosure, a kind of electricity consumption payment pipe based on cloud platform is provided
Reason method.
As shown in Figure 1, a kind of electricity consumption payment management method based on cloud platform, this method is realized based on cloud platform, comprising:
S101: the credit demographic categories of setting are received；
S102: the power information of the credit group of the different classifications of power information acquisition system acquisition is received, every class is established
The history power information database of credit group；Every class letter is respectively obtained according to the power information in history power information database
With the normal duty curve of group；
S103: receiving subscriber payment historical behavior data, according to subscriber payment historical behavior using the every class pre-established
The subscriber payment risk model of credit group determines the subscriber payment risk of every class credit group；
S104: credit demographic categories belonging to the real-time power information of user and the user are received, according in certain time
The real-time power information of user establishes the normal duty curve comparison of credit demographic categories belonging to real-time load curve and the user,
If fluctuation is greater than first threshold and/or the subscriber payment risk of affiliated credit demographic categories is greater than second threshold, transmission is paid
Take warning message.
In the step S101 of the present embodiment, the credit demographic categories include: that special user and the public affairs of becoming become user；It is described special
Becoming user includes industrial electrical user, commercial electric power user and agricultural power supply user；The public change user includes that residential power is used
Family.
In the step S102 of the present embodiment, the power information include the meter reading data of user's electric energy meter, electricity data,
Power data, voltage, electric current and power factor.
In the step S102 of the present embodiment, by the power information in the history power information database of every class credit group
It does normalization to calculate, obtains the normal duty curve of every class credit group.
In the step S103 of the present embodiment, the evaluation index packet of the special subscriber payment risk evaluation model for becoming user
Include payment risk, behaviorist risk, environmental risk and other risks；
The evaluation index of the public family payment risk evaluation model for becoming user includes payment risk and behaviorist risk；
The payment risk includes promise breaking payment ratio, arrearage number, arrearage time percentage；The behaviorist risk includes disobeying
About electricity consumption number, power utility check mismatch number and safety accident number；The environmental risk includes industry competition degree, industry
Overall condition and Industry Policy；Other described risks include profit on sales, payback of assets and cash liability ratio.
In the step S104 of the present embodiment, credit demographic categories belonging to the real-time load curve and the user are just
The method that normal load curve compares are as follows: the normal duty curve of credit demographic categories belonging to real-time load curve and the user is most
The ratio between ratio and total amount between big value and minimum value.
In the step S104 of the present embodiment, the first threshold includes first special change user's threshold value and the first public change user
Threshold value.
In the step S104 of the present embodiment, the payment warning message includes fee payment early warning information and payment alarm signal
Breath；
According to the real-time power information of the user in certain time establish real-time load curve and the user belonging to credit group
The normal duty curve comparison of body classification, if fluctuation is greater than the subscriber payment risk of first threshold or affiliated credit demographic categories
Greater than second threshold, then payment warning message is sent, then sends fee payment early warning information；
According to the real-time power information of the user in certain time establish real-time load curve and the user belonging to credit group
The normal duty curve comparison of body classification, if fluctuation is greater than the subscriber payment risk of first threshold and affiliated credit demographic categories
Greater than second threshold, then payment warning message is sent, then sends payment warning message.
Embodiment two
According to the one aspect of one or more other embodiments of the present disclosure, a kind of computer readable storage medium is provided.
A kind of computer readable storage medium, wherein being stored with a plurality of instruction, described instruction is suitable for by terminal device
Reason device loads and executes a kind of electricity consumption payment management method based on cloud platform.
Embodiment three
According to the one aspect of one or more other embodiments of the present disclosure, a kind of terminal device is provided.
A kind of terminal device comprising processor and computer readable storage medium, processor is for realizing each instruction；Meter
Calculation machine readable storage medium storing program for executing is suitable for being loaded by processor and being executed described one kind and is based on for storing a plurality of instruction, described instruction
The electricity consumption payment management method of cloud platform.
These computer executable instructions execute the equipment according to each reality in the disclosure
Apply method or process described in example.
In the present embodiment, computer program product may include computer readable storage medium, containing for holding
The computer-readable program instructions of row various aspects of the disclosure.Computer readable storage medium, which can be, can keep and store
By the tangible device for the instruction that instruction execution equipment uses.Computer readable storage medium for example can be-- but it is unlimited
In-- storage device electric, magnetic storage apparatus, light storage device, electric magnetic storage apparatus, semiconductor memory apparatus or above-mentioned
Any appropriate combination.The more specific example (non exhaustive list) of computer readable storage medium includes: portable computing
Machine disk, hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or
Flash memory), static random access memory (SRAM), Portable compressed disk read-only memory (CD-ROM), digital versatile disc
(DVD), memory stick, floppy disk, mechanical coding equipment, the punch card for being for example stored thereon with instruction or groove internal projection structure, with
And above-mentioned any appropriate combination.Computer readable storage medium used herein above is not interpreted instantaneous signal itself,
The electromagnetic wave of such as radio wave or other Free propagations, the electromagnetic wave propagated by waveguide or other transmission mediums (for example,
Pass through the light pulse of fiber optic cables) or pass through electric wire transmit electric signal.
Computer-readable program instructions described herein can be downloaded to from computer readable storage medium it is each calculate/
Processing equipment, or outer computer or outer is downloaded to by network, such as internet, local area network, wide area network and/or wireless network
Portion stores equipment.Network may include copper transmission cable, optical fiber transmission, wireless transmission, router, firewall, interchanger, gateway
Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted
Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment
In calculation machine readable storage medium storing program for executing.
Computer program instructions for executing present disclosure operation can be assembly instruction, instruction set architecture (ISA)
Instruction, machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programmings
The source code or object code that any combination of language is write, the programming language include the programming language-of object-oriented such as
C++ etc., and conventional procedural programming languages-such as " C " language or similar programming language.Computer-readable program refers to
Order can be executed fully on the user computer, partly be executed on the user computer, as an independent software package
Execute, part on the user computer part on the remote computer execute or completely on a remote computer or server
It executes.In situations involving remote computers, remote computer can include local area network by the network-of any kind
(LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as utilize internet
Service provider is connected by internet).In some embodiments, by being believed using the state of computer-readable program instructions
Breath comes personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or programmable logic
Array (PLA), the electronic circuit can execute computer-readable program instructions, to realize the various aspects of present disclosure.
Example IV
According to the one aspect of one or more other embodiments of the present disclosure, a kind of electricity consumption payment pipe based on cloud platform is provided
Manage device.
A kind of electricity consumption payment managing device based on cloud platform, is paid the fees based on a kind of electricity consumption based on cloud platform and is managed
Reason method, comprising:
Credit demographic categories setting module is configured as receiving the credit demographic categories of setting；
Normal duty curve establishes module, is configured as receiving the credit of the different classifications of power information acquisition system acquisition
The power information of group establishes the history power information database of every class credit group；According in history power information database
Power information respectively obtain the normal duty curve of every class credit group；
Subscriber payment risk establishes module, is configured as receiving subscriber payment historical behavior data, be gone through according to subscriber payment
History behavior determines the subscriber payment of every class credit group using the subscriber payment risk model of the every class credit group pre-established
Risk；
Electricity consumption payment management module, is configured as receiving credit group class belonging to the real-time power information of user and the user
Not, according to the real-time power information of the user in certain time establish real-time load curve and the user belonging to credit demographic categories
Normal duty curve comparison, if the subscriber payment risk that fluctuation is greater than first threshold and/or affiliated credit demographic categories is big
In second threshold, then payment warning message is sent.
It should be noted that although being referred to several modules or submodule of equipment in the detailed description above, it is this
Division is only exemplary rather than enforceable.In fact, in accordance with an embodiment of the present disclosure, two or more above-described moulds
The feature and function of block can embody in a module.Conversely, the feature and function of an above-described module can be with
Further division is to be embodied by multiple modules.
The disclosure the utility model has the advantages that
A kind of electricity consumption payment management method and device based on cloud platform that the disclosure provides assesses client in real time and pays the fees and believe
With risk is collected in the reduction electricity charge, is established using user power utilization information acquisition system in conjunction with other credit appraisal modes of client
The subscriber payment risk model and real-time credit evaluation management method of every class credit group, can obtain the production shape of user in real time
Condition infers its credit standing of paying the fees in turn, is conducive to power supply enterprise and takes timely measure, visits and press for payment of the electricity charge.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.Therefore, the present invention is not intended to be limited to this
These embodiments shown in text, and it is to fit to the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. a kind of electricity consumption payment management method based on cloud platform, this method is realized based on cloud platform characterized by comprising
Receive the credit demographic categories of setting；
The power information for receiving the credit group of the different classifications of power information acquisition system acquisition, establishes every class credit group
History power information database；Every class credit group is being respectively obtained just according to the power information in history power information database
Normal load curve；
Subscriber payment historical behavior data are received, according to subscriber payment historical behavior using the every class credit group pre-established
Subscriber payment risk model determines the subscriber payment risk of every class credit group；
Credit demographic categories belonging to the real-time power information of user and the user are received, are used in real time according to the user in certain time
Power information establishes the normal duty curve comparison of credit demographic categories belonging to real-time load curve and the user, if fluctuation is greater than
First threshold and/or the subscriber payment risk of affiliated credit demographic categories are greater than second threshold, then send payment warning message.
2. a kind of electricity consumption payment management method based on cloud platform as described in claim 1, which is characterized in that
In the method, the credit demographic categories include: that special user and the public affairs of becoming become user；The special change user includes industrial electro
Power user, commercial electric power user and agricultural power supply user；The public change user includes residential power user.
3. a kind of electricity consumption payment management method based on cloud platform as described in claim 1, which is characterized in that
In the method, the power information includes meter reading data, electricity data, power data, voltage, the electricity of user's electric energy meter
Stream and power factor.
4. a kind of electricity consumption payment management method based on cloud platform as described in claim 1, which is characterized in that
In the method, the power information in the history power information database of every class credit group is done normalization to calculate, is obtained
To the normal duty curve of every class credit group.
5. a kind of electricity consumption payment management method based on cloud platform as claimed in claim 2, which is characterized in that
In the method, the evaluation index of the special subscriber payment risk evaluation model for becoming user includes payment risk, behavior
Risk, environmental risk and other risks；
The evaluation index of the public family payment risk evaluation model for becoming user includes payment risk and behaviorist risk；
The payment risk includes promise breaking payment ratio, arrearage number, arrearage time percentage；The behaviorist risk includes that promise breaking is used
Electric number, power utility check mismatch number and safety accident number；The environmental risk includes industry competition degree, industry entirety
Situation and Industry Policy；Other described risks include profit on sales, payback of assets and cash liability ratio.
6. a kind of electricity consumption payment management method based on cloud platform as described in claim 1, which is characterized in that
In the method, the real-time load curve and the normal duty curve comparison of credit demographic categories belonging to the user
Method are as follows: between the normal duty curve maximum and minimum value of credit demographic categories belonging to real-time load curve and the user
Ratio and total amount between ratio.
7. a kind of electricity consumption payment management method based on cloud platform as described in claim 1, which is characterized in that
In the method, the first threshold includes first special change user's threshold value and first public change user's threshold value；
In the method, the payment warning message includes fee payment early warning information and payment warning message；
According to the real-time power information of the user in certain time establish real-time load curve and the user belonging to credit group class
Other normal duty curve comparison, if fluctuation is greater than first threshold or the subscriber payment risk of affiliated credit demographic categories is greater than
Second threshold, then send payment warning message, then sends fee payment early warning information；
According to the real-time power information of the user in certain time establish real-time load curve and the user belonging to credit group class
Other normal duty curve comparison, if fluctuation is greater than first threshold and the subscriber payment risk of affiliated credit demographic categories is greater than
Second threshold, then send payment warning message, then sends payment warning message.
8. a kind of computer readable storage medium, wherein being stored with a plurality of instruction, which is characterized in that described instruction is suitable for by terminal
The processor of equipment is loaded and is executed such as a kind of described in any item electricity consumption payment managers based on cloud platform of claim 1-7
Method.
9. a kind of terminal device comprising processor and computer readable storage medium, processor is for realizing each instruction；It calculates
Machine readable storage medium storing program for executing is for storing a plurality of instruction, which is characterized in that described instruction is suitable for being loaded by processor and being executed such as power
Benefit requires a kind of described in any item electricity consumption payment management methods based on cloud platform of 1-7.
The managing device 10. a kind of electricity consumption based on cloud platform is paid the fees, which is characterized in that based on such as any one of claim 1-7 institute
A kind of electricity consumption payment management method based on cloud platform stated, comprising:
Credit demographic categories setting module is configured as receiving the credit demographic categories of setting；
Normal duty curve establishes module, is configured as receiving the credit group of the different classifications of power information acquisition system acquisition
Power information, establish the history power information database of every class credit group；According to the use in history power information database
Power information respectively obtains the normal duty curve of every class credit group；
Subscriber payment risk establishes module, is configured as receiving subscriber payment historical behavior data, according to subscriber payment history row
For the subscriber payment risk for determining every class credit group using the subscriber payment risk model of the every class credit group pre-established；
Electricity consumption payment management module, is configured as receiving credit demographic categories belonging to the real-time power information of user and the user,
According to the real-time power information of the user in certain time establish real-time load curve and the user belonging to credit demographic categories
Normal duty curve comparison, if fluctuation is greater than first threshold and/or the subscriber payment risk of affiliated credit demographic categories is greater than
Second threshold then sends payment warning message.
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| CN201910251452.XA CN109993433A (en) | 2019-03-29 | 2019-03-29 | A kind of electricity consumption payment management method and device based on cloud platform |
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| CN201910251452.XA CN109993433A (en) | 2019-03-29 | 2019-03-29 | A kind of electricity consumption payment management method and device based on cloud platform |
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