CN107292444A - A kind of prepayment electric energy meter system and electric energy meter pre-paying method - Google Patents
A kind of prepayment electric energy meter system and electric energy meter pre-paying method Download PDFInfo
- Publication number
- CN107292444A CN107292444A CN201710510027.9A CN201710510027A CN107292444A CN 107292444 A CN107292444 A CN 107292444A CN 201710510027 A CN201710510027 A CN 201710510027A CN 107292444 A CN107292444 A CN 107292444A
- Authority
- CN
- China
- Prior art keywords
- electricity price
- information
- electricity
- consumption
- electric energy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims description 18
- 230000005611 electricity Effects 0.000 claims abstract description 416
- 238000012790 confirmation Methods 0.000 claims abstract description 12
- 238000004891 communication Methods 0.000 claims abstract description 5
- 230000005540 biological transmission Effects 0.000 claims description 19
- 238000007667 floating Methods 0.000 claims description 13
- 238000001514 detection method Methods 0.000 claims description 10
- 238000010008 shearing Methods 0.000 claims description 9
- 230000001186 cumulative effect Effects 0.000 claims description 7
- 238000011157 data evaluation Methods 0.000 claims description 6
- 238000013507 mapping Methods 0.000 claims description 4
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 2
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000686 essence Substances 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010422 painting Methods 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
Classifications
-
- 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F15/00—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity
- G07F15/06—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity with means for prepaying basic charges, e.g. rent for meters
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of prepayment electric energy meter system, including client, server, payment platform, concentrator and electric energy meter;The electric energy meter includes:Communication module:Power quantity predicting portion, for predicting the following daily power consumption of user;Electricity price determining section, for determining electricity price information;Odd-numbered day amount of consumption prediction section, for predicting the following odd-numbered day amount of consumption;Number of days portion is predicted, for predicting electricity consumption number of days;Decision-making portion is judged, for the size for the expectation electricity consumption number of days for judging the electricity consumption number of days of prediction and receiving;Electric treatment module is bought (or sell) on credit, electric solicited message is bought (or sell) on credit for receiving, and receives and buys (or sell) on credit electric amount information, and buys (or sell) on credit electric amount information by described and is sent to consumption predictions portion;Consumption predictions portion, electric amount information or amount of consumption confirmation are bought (or sell) on credit for receiving.Beneficial effect:(1) the following power consumption of user is predicted with electrographic recording according to history, it is more accurate to make to estimate;(2) electricity charge are paid in user and shows the number of days that can use to user simultaneously, be easy to user to make rational planning for electricity consumption.
Description
Technical field
The present invention relates to electric energy pre-payment field, a kind of prepayment electric energy meter system and electric energy meter prepayment are specifically related to
Charging method.
Background technology
In the prior art, when user needs to carry out electricity consumption, generally paid in advance to electric energy provider (such as national grid)
The electricity charge of certain number, afterwards, electric energy provider provide electric energy according to user with the size of real-time power consumption, meanwhile, Yong Hujia
Electric energy meter in front yard carries out real-time consumption statistic to the electric energy used, when the customer consumption amount of money reaches user's recharge amount,
Electric energy provider stops power supply.
Some existing electric energy meter equipment, can send and power off when user consumes electric energy close to electric energy threshold value to user
Alarm, if reminding user is no again temperately to use electric energy, it may occur that the danger of power-off.But, user is as consumer, often
Specific power consumption value is not experienced, and has deeper impression to the amount of money of consumption, when user is pre- to electric energy provider
During the branch electricity charge, also it is not aware that how long these electricity charge paid in advance enough make oneself use, can only judges to be adapted to by experience
The electricity consumption amount of money of oneself.Often in order to not occur situation about powering off suddenly, user would generally one-time payment number it is more
Money, but so again be unfavorable for user's using electricity wisely custom form.
For these reasons, the present invention is proposed.
The content of the invention
It is an object of the present invention to provide a kind of prepayment electric energy meter system and electric energy meter pre-paying method so that
User can know in prepayment electric expense current prepayment electric expense can make oneself using how long, be easy to user to make rational planning for use
Electricity.
Specifically, the present invention is achieved through the following technical solutions:
A kind of prepayment electric energy meter system, the system is consumed in the following odd-numbered day according to the user of user's recharge amount and prediction
Volume determines the prediction electricity consumption number of days of user, and by prediction electricity consumption number of days with it is expected that electricity consumption number of days is compared, to remind user to fill
Whether the value amount of money meets expectation electricity consumption number of days.
Preferably, the system includes client, server, payment platform, concentrator and electric energy meter;The client with
Server is connected by internet;The server is also connected with payment platform by internet;The payment platform and client
End connection;
The server is used for the charging information for receiving user's transmission, and the charging information is sent into electric energy meter, institute
Stating charging information at least includes recharge amount and expects electricity consumption number of days;
The payment platform is used to receive amount of consumption information by server, and is carried out according to amount of consumption information to client
Gathering;The payment platform is additionally operable to buy (or sell) on credit electric amount information to electric energy meter transmission user;
The server is additionally operable to send basic electricity price information to electric energy meter;
The electric energy meter includes:
Communication module, is exchanged for entering row information with server;
Electric energy detection portion is used to detect power consumption:
Power quantity predicting portion, the historical record for consuming electric energy according to user, the following daily power consumption of prediction user;
Electricity price determining section, for determining electricity price information;
Odd-numbered day amount of consumption prediction section, for being consumed according to the following daily power consumption and electricity price information prediction following odd-numbered day
Volume;
Number of days portion is predicted, for according to the following odd-numbered day amount of consumption and the recharge amount received, predicting electricity consumption number of days;
Decision-making portion is judged, for the size for the expectation electricity consumption number of days for judging the electricity consumption number of days of prediction and receiving, if prediction
Electricity consumption number of days be less than expect electricity consumption number of days, then to buy (or sell) on credit electric treatment module send buy (or sell) on credit electric solicited message;If the electricity consumption number of days of prediction
More than or equal to electricity consumption number of days is expected, then amount of consumption confirmation is sent to consumption predictions portion;
Electric treatment module is bought (or sell) on credit, the electric solicited message of buying (or sell) on credit of decision-making portion transmission is judged for receiving, and receives payment platform transmission
Buy (or sell) on credit electric amount information, and buy (or sell) on credit electric amount information by described and be sent to consumption predictions portion;
Consumption predictions portion, electric amount information or amount of consumption confirmation are bought (or sell) on credit for receiving.
Preferably, the power quantity predicting portion includes:
History data store portion, for storing the history electricity consumption data obtained from electric energy detection portion;
Mapping portion, for according to the history electricity consumption data stored in the history data store portion, drawing per daily power consumption
Curve map;
Daily power use by time shearing amount determining section, for determining that user is in each preset time period in every daily power consumption curve map
Power consumption.
Preferably, the electricity price determining section includes:
Basic electricity price receiving module, the basic electricity price information for receiving future from server;
Electricity price information storage module, for storing electricity price information;
Electricity price information estimation module, for when underlying price receiving module is not received by basic electricity price information, passing through
The electricity price in electricity price information storage module is stored in, following electricity price is estimated;
Electricity price selecting module, for selecting to receive by the electricity price estimated in electricity price information estimation unit or by basic electricity price
Electricity price information in module is sent to odd-numbered day amount of consumption prediction section.
Preferably, the electricity price determining section also includes electricity price information relocatable module, the electricity price information relocatable module and base
Plinth electricity price information receiving module is connected, and receives basic electricity price information, and the electricity price information relocatable module also connects with power quantity predicting portion
Connect, basic electricity price is floated or floated downward for the power consumption according to prediction;The electricity price information storage module is used to store
Electricity price after the floating generated in electricity price information relocatable module;The electricity price selecting module is used to select electricity price information estimation unit
Electricity price information in electricity price information relocatable module is sent to odd-numbered day amount of consumption prediction section by the electricity price of middle estimation.
Preferably, the electricity price determining section also includes:
Instantaneous electricity price information receiving module, the instantaneous electricity price information receiving module is used for the expression that the reception server is sent
The instantaneous electricity price information of current time electricity price;
Instantaneous electricity price cumulative mean module, for accumulating the instantaneous electricity price that each reception of storage is arrived;
Electricity price information computational module, for calculating the multiple instantaneous electricity prices being stored in instantaneous electricity price cumulative mean module
Average value, obtains the average electricity price in one section of preset time period;The electricity price information computational module stores mould with electricity price information
Block is connected, and the average electricity price in each section of preset time period is sent into electricity price information storage module and stored.
Preferably, methods described includes step:
Step 1:User end to server sends payment information, and the payment information includes payment information and expects to use
Electric duration information;
Step 2:Server receives the payment information, and the payment information is sent into electric energy meter;
Step 3:Electric energy meter determines user's odd-numbered day timesharing power consumption information according to conventional power consumption rule;
Step 4:Electric energy meter receives basic electricity price information from server;
Step 5:Electric energy meter calculates the odd-numbered day power consumption amount of money according to the odd-numbered day timesharing power consumption information and basic electricity price information;
Step 6:Electric energy meter calculates prediction electricity consumption number of days according to the odd-numbered day power consumption amount of money and payment information;
Step 7:Electric energy meter judges whether the prediction electricity consumption number of days is less than and expects electricity consumption number of days, if it is not, then flat to paying
Platform, which is sent, agrees to payment information;If so, then performing step 8;
Step 8:What electric energy meter reception payment platform was sent buys (or sell) on credit electric amount information;
Step 9:Electric energy meter buys (or sell) on credit electric amount information according to and determines that what user can buy (or sell) on credit electricity buys (or sell) on credit electric number of days, and is bought (or sell) on credit described
Electric number of days is sent to client.
Preferably, the step 3 includes:
History electricity consumption data is obtained from electric energy detection portion;
Drawn according to history electricity consumption data per daily power consumption curve map;
The power consumption in each preset time period is determined according to every daily power consumption curve map, user's odd-numbered day timesharing power consumption is used as
Information.
Preferably, also including after the step 4:
Step 41:The basic electricity price information is stored;
Step 42:According to the following electricity price of the basic electricity price data-evaluation first of storage;
Step 43:Judge whether that the basic electricity price information at current time can be received, if can, step 5 is performed, if
It is no, then perform step 5 ';
Step 5 ':Electric energy meter calculates the odd-numbered day according to the odd-numbered day timesharing power consumption information and the first following electricity price information
The power consumption amount of money, performs step 6 afterwards.
Preferably, after the step 4, in addition to:
Step 41 ':According to odd-numbered day timesharing power consumption information, basic electricity price information is floated;
Step 42 ':Electricity price information after floating is stored;
Step 43 ':According to the following electricity price of electricity price data-evaluation after the floating of storage second;
Step 44 ':Judge whether that the adjustment of electricity charges information at current time can be received, if can, electric energy meter is according to institute
Odd-numbered day timesharing power consumption information and the adjustment of electricity charges information are stated, the odd-numbered day power consumption amount of money is calculated, if can not, electric energy meter is according to described
Odd-numbered day timesharing power consumption information and the second following electricity price information, calculate the odd-numbered day power consumption amount of money, step 6 are performed afterwards.
The beneficial effects of the invention are as follows:(1) the following power consumption of user is predicted with electrographic recording according to user's history, made to user
Electricity consumption situation estimate it is more accurate;(2) number of days that the electricity charge can be used to user's displaying simultaneously is paid in user, makes user couple
The assurance of electricity consumption duration is more accurate, is easy to user to make rational planning for electricity consumption.
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
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
A kind of prepayment electric energy meter system structural representation that Fig. 1 provides for first embodiment of the invention;
A kind of prepayment electric energy meter system structural representation that Fig. 2 provides for second embodiment of the invention;
A kind of prepayment electric energy meter system structural representation that Fig. 3 provides for third embodiment of the invention;
A kind of prepayment electric energy meter system structural representation that Fig. 4 provides for fourth embodiment of the invention;
A kind of prepayment electric energy meter system structural representation that Fig. 5 provides for fifth embodiment of the invention;
A kind of electric energy meter pre-paying method schematic flow sheet that Fig. 6 provides for sixth embodiment of the invention;
A kind of electric energy meter pre-paying method schematic flow sheet that Fig. 7 provides for seventh embodiment of the invention;
A kind of electric energy meter pre-paying method schematic flow sheet that Fig. 8 provides for eighth embodiment of the invention;
A kind of electric energy meter pre-paying method schematic flow sheet that Fig. 9 provides for ninth embodiment of the invention.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent and the consistent all embodiments of the present invention.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the present invention.
It is the purpose only merely for description specific embodiment in terminology used in the present invention, and is not intended to be limiting the present invention.
" one kind ", " described " and "the" of singulative used in the present invention and appended claims are also intended to including majority
Form, unless context clearly shows that other implications.It is also understood that term "and/or" used herein refers to and wrapped
It may be combined containing one or more associated any or all of project listed.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the present invention
A little information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, not departing from
In the case of the scope of the invention, the first information can also be referred to as the second information, similarly, and the second information can also be referred to as
One information.Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determining ".
The present invention will be described in detail by way of examples below.
A kind of prepayment electric energy meter system, the system is consumed in the following odd-numbered day according to the user of user's recharge amount and prediction
Volume determines the prediction electricity consumption number of days of user, and by prediction electricity consumption number of days with it is expected that electricity consumption number of days is compared, to remind user to fill
Whether the value amount of money meets expectation electricity consumption number of days.
As shown in figure 1, the system includes client, server, payment platform, concentrator and electric energy meter;The client
End is connected with server by internet;The server is also connected with payment platform by internet;The payment platform with
Client is connected;
The server is used for the charging information for receiving user's transmission, and the charging information is sent into electric energy meter, institute
Stating charging information at least includes recharge amount and expects electricity consumption number of days;
The payment platform is used to receive amount of consumption information by server, and is carried out according to amount of consumption information to client
Gathering;The payment platform is additionally operable to buy (or sell) on credit electric amount information to electric energy meter transmission user;
The server is additionally operable to send basic electricity price information to electric energy meter.
Further, as shown in Fig. 2 the electric energy meter includes:
Communication module, is exchanged for entering row information with server;
Electric energy detection portion, for detecting power consumption;
Power quantity predicting portion, the historical record for consuming electric energy according to user, the following daily power consumption of prediction user;
Specifically, as shown in figure 3, the power quantity predicting portion includes:
History data store portion, for storing the history electricity consumption data obtained from electric energy detection portion.Measure and use in electric energy meter
Family power consumption it is daily, electric energy detection portion records the power consumption of daily each period, such as equal by 24 hours one day
It is divided into 48 periods, each period is half an hour, power consumption of the statistics per half an hour user, by power consumption and period
Corresponding relation recorded in history data store portion.
Mapping portion, for according to the history electricity consumption data stored in the history data store portion, drawing per daily power consumption
Curve map.For example, being divided into 48 periods by 24 hours one day, each period is half an hour, and statistics is per half an hour user
Power consumption, be depicted as every daily power consumption curve map.Further, the history of many days stored in storage part is exported by history
Electricity consumption data, draws multiple per daily power consumption curve map, then multiple every daily power consumption curve maps are done into mean operation, is averaged
Every daily power consumption curve map afterwards.
Daily power use by time shearing amount determining section, for determining that user is in each preset time period in every daily power consumption curve map
Power consumption.The preset time period can be electricity price crest, trough stage and common fare stage, for example, daily 10 points to 15
Point, 18 points to 21 points be the peak stage;Daily 7 points to 10 points, 15 points to 18 points and 21 points to 23 points are the common fare stage, daily
7 points of 23 points to next day be the trough stage, count each electricity price crest, trough stage and total electricity consumption in common fare stage
Amount, as power use by time shearing amount, i.e., daily power use by time shearing amount determining section have recorded daily electricity price crest, trough stage and common fare rank
The power consumption of section.
Electricity price determining section, for determining electricity price information.Further, as shown in figure 3, the electricity price determining section can be included
Basic electricity price receiving module, the basic electricity price information for receiving future from server, the basic electricity price information confession under directions electricity
The standard electricity rates of enterprise, the standard electricity rates can also respectively provide electricity price crest, trough stage and normal
The price in valency stage.The electricity price determining section can also include electricity price information storage module, for storing electricity price information, specifically
, basic electricity price receiving module often receives once basic electricity price information, the base that electricity price information storage module just receives this
Plinth electricity price information is stored.For example, basic electricity price receiving module receives once basic electricity price information, the basic electricity price letter
Breath contains following three days daily electricity price crest, trough stage and the electricity price information in common fare stage, electricity price information storage mould
Block is just stored this basic electricity price information.
The electricity price determining section can also include electricity price information estimation module, for not connect when underlying price receiving module
When receiving basic electricity price information, by the electricity price being stored in electricity price information storage module, following electricity price is estimated.For example, working as
Basic electricity price receiving module is to the current basic electricity price information of server requirement, but server does not feed back the information, now, electricity
Valency information estimation module can be according to the basic electric of each different times having stored in before in electricity price information storage module
Valency information, estimates following electricity price, for example, being stored with electricity price information storage module on June 3rd, 1, June 4 and June 5
Basic electricity price information, when basic electricity price receiving module June 6 to the current basic electricity price information of server requirement, but clothes
When business device does not feed back basic electricity price information, electricity price information estimation module obtains 6 in the electricity price information storage module being stored in
The moon 3, June 4 and the basic electricity price information on June 5, the electricity price to this electricity price peak stage of three days do average calculating operation, electricity
The electricity price in valency trough stage does average calculating operation, and the electricity price in common fare stage does average calculating operation, and obtain three average values are distinguished
As the electricity price crest on June 6, trough stage and the electricity price in common fare stage, to reach the effect of estimation electricity price.The electricity price
Determining section can also include electricity price selecting module, for the electricity price that selects to estimate in electricity price information estimation unit or by basis
Electricity price information in electricity price receiving module is sent to odd-numbered day amount of consumption prediction section, i.e., when basic electricity price receiving module can be received
During the basic electricity price information that server is sent, the basic electricity price information is directly sent to the odd-numbered day amount of consumption by electricity price selecting module
Prediction section;When basic electricity price receiving module can not receive the basic electricity price information of server transmission, electricity price selecting module will
The electricity price information estimated in electricity price information estimation module is sent to odd-numbered day amount of consumption prediction section.
Further, as shown in figure 4, the electricity price determining section also includes electricity price information relocatable module, the electricity price information
Relocatable module be connected with basic electricity price information receiving module, receives basis electricity price information, the electricity price information relocatable module also with
Power quantity predicting portion is connected, and basic electricity price is floated or floated downward for the power consumption according to prediction;The electricity price information storage
Module is used to store electricity price after the floating generated in electricity price information relocatable module;The electricity price selecting module is used to select electricity price
The electricity price estimated in information estimation unit or that the electricity price information in electricity price information relocatable module is sent into the odd-numbered day amount of consumption is pre-
Survey portion.For example, electricity price information relocatable module from daily power use by time shearing amount determining section obtain user it is daily the electricity price peak stage,
Electricity price trough stage and the power consumption in the common fare stage, in order to encourage user in the few electricity consumption of electricity price peak stage, in electricity price
Trough stage Multifunctional electric, it is daily in electricity price peak stage and electricity price trough stage use that electricity price information relocatable module can calculate user
The difference of electricity, if on the premise of power consumption keeps stable in day, user is daily in electricity price peak stage power consumption and electricity price ripple
The difference of paddy stage power consumption is less than default first threshold, illustrates user consciously in the electricity using the electricity price trough period
Can, a kind of simply electricity consumption behavior of worth encouragement, then electricity price information relocatable module can make electricity price above and below basic electricity price price
Floating certain proportion, to be used as reward;If likewise, on the premise of in day, power consumption keeps stable, user is daily in electricity price crest
The difference of stage power consumption and electricity price trough stage power consumption is more than default Second Threshold, and (Second Threshold is more than the first threshold
Value), then illustrate that user mainly utilizes the electric energy of electricity price crest period, this can power to power network and produce larger pressure, be a kind of
The behavior do not encouraged, the electricity price that electricity price information relocatable module can make floats certain proportion in basic electricity price price.
In the case of with electricity price information relocatable module, the electricity price information storage module storage is after floating
Electricity price.
In another embodiment of the present invention, the server can send current instantaneous electricity price in real time, such as Fig. 5 institutes
Show, the electricity price determining section includes instantaneous electricity price information receiving module, when the expression for the transmission of real-time reception server is current
Carve the instantaneous electricity price information of electricity price;The electricity price determining section also includes instantaneous electricity price cumulative mean module, every for accumulating storage
The instantaneous electricity price that one moment received;Electricity price information computational module, for being stored in instantaneous electricity price cumulative mean module
Multiple instantaneous electricity prices calculate average value, obtain the average electricity price in one section of preset time period, for example, instantaneous electricity price information is received
Module receives the electricity price at the first moment, the second moment and the 3rd moment respectively, and the electricity price information at three moment is protected
In the presence of in instantaneous electricity price cumulative mean module, the electricity price at three moment is calculated average value by electricity price information computational module, is made
The electricity price value of rate period (crest period, trough period, common fare period) where three moment.The electricity price information
Computing module is connected with electricity price information storage module, and the average electricity price in each section of preset time period is sent into electricity price information deposits
Storage module is stored.
Odd-numbered day amount of consumption prediction section, for being consumed according to the following daily power consumption and electricity price information prediction following odd-numbered day
Volume.Daily power use by time shearing amount determining section defines daily different price periods (crest period, trough period, common fare period)
Power consumption, electricity price determining section defines the electricity of daily different price periods (crest period, trough period, common fare period)
Value, then by power consumption multiplication corresponding with electricity price value, you can the following odd-numbered day amount of consumption estimated.
Number of days portion is predicted, for according to the following odd-numbered day amount of consumption and the recharge amount received, predicting electricity consumption number of days.With filling
It is worth the amount of money divided by the following odd-numbered day amount of consumption, you can obtain predicting electricity consumption number of days.
Decision-making portion is judged, for the size for the expectation electricity consumption number of days for judging the electricity consumption number of days of prediction and receiving, if prediction
Electricity consumption number of days be less than expect electricity consumption number of days, then to buy (or sell) on credit electric treatment module send buy (or sell) on credit electric solicited message;If the electricity consumption number of days of prediction
More than or equal to electricity consumption number of days is expected, then amount of consumption confirmation is sent to consumption predictions portion;
Electric treatment module is bought (or sell) on credit, the electric solicited message of buying (or sell) on credit of decision-making portion transmission is judged for receiving, and receives payment platform transmission
Buy (or sell) on credit electric amount information, and buy (or sell) on credit electric amount information by described and be sent to consumption predictions portion;
Consumption predictions portion, electric amount information or amount of consumption confirmation are bought (or sell) on credit for receiving.
If specifically, electricity consumption number of days, which is more than or equal to, expects electricity consumption number of days, illustrating that current recharge amount sufficiently achieves user pre-
The number of days of phase, user is normally carried out supplementing consumption with money, and consumption predictions portion receives amount of consumption confirmation, that is, confirms recharge amount
The amount of consumption that deducts is enough, and amount of consumption confirmation is sent to client by server.If the electricity consumption number of days of prediction is more than
Equal to electricity consumption number of days is expected, then illustrate that user's recharge amount is not enough to enough families using desired number of days, at this moment, judge decision-making portion
Message is sent to electric treatment module is bought (or sell) on credit, the consumer credit record that electric treatment module obtains user from payment platform is bought (or sell) on credit, if the use
The consumer credit at family is good, and such as user continuously continues to pay dues in time, monthly power consumption stabilization etc., then payment platform can be carried to the user
For certain spending limit, user can use this partial consumption amount to be taken out to carry out the electricity charge, or carry out paying in advance for the electricity charge.
For example, by calculating, the recharge amount of user only reaches user power utilization 28 days, and the expectation electricity consumption number of days of user is 30 days, at this moment,
Buy (or sell) on credit electric treatment module and receive the electric solicited message of buying (or sell) on credit for judging the transmission of decision-making portion, and receive the electric amount of money of buying (or sell) on credit of payment platform transmission and believe
Breath, consumption predictions portion not only receives amount of consumption confirmation, also receives and buys (or sell) on credit electric amount information, and by amount of consumption confirmation and buys (or sell) on credit
Electric amount information is all sent to client.
Accordingly, present invention also offers a kind of electric energy meter pre-paying method, as shown in fig. 6, methods described includes step:
S101:User end to server sends payment information, and the payment information includes payment information and expects to use
Electric duration information.
S102:Server receives the payment information, and the payment information is sent into electric energy meter.
S103:Electric energy meter determines user's odd-numbered day timesharing power consumption information according to conventional power consumption rule.
Further, the S103 includes:
History electricity consumption data is obtained from electric energy detection portion;
Drawn according to history electricity consumption data per daily power consumption curve map;
The power consumption in each preset time period is determined according to every daily power consumption curve map, user's odd-numbered day timesharing power consumption is used as
Information.
Specifically, the communication module of electric energy meter sends trigger signal to history data store portion, history data store portion will
The history electricity consumption data of storage is sent to mapping portion and drawn per daily power consumption curve map, and daily power use by time shearing amount determining section is according to painting
Every daily power consumption curve map of system, determines the daily power consumption in electricity price crest, trough stage and common fare period of user, i.e., single
Power consumption information during bu.
S104:Electric energy meter receives basic electricity price information from server.
The basic electricity price information can send electricity from server timing transmission or electric energy meter to server
After valency request, it is sent to by server in electric energy meter.When the basic electricity price information can be one section of future for having determined
The electricity price of interior (as following one week, following one month) daily different periods.For power supply enterprise, the formulation of electricity price is led to
Often related to producing the cost of electric energy, when cost is fixed, the electricity price of daily different periods is generally also fixed, by this part
Electricity price information is stored in the server.Further, in some special occasions, such as industrial circle, electricity price can be because of policy adjustment
Change, in this case, the basic electricity price information that electric energy meter is obtained every time is probably different.
S105:Electric energy meter calculates the odd-numbered day power consumption amount of money according to the odd-numbered day timesharing power consumption information and basic electricity price information.
S106:Electric energy meter calculates prediction electricity consumption number of days according to the odd-numbered day power consumption amount of money and payment information.
S107:Electric energy meter judges whether the prediction electricity consumption number of days is less than and expects electricity consumption number of days, if it is not, then to payment platform
Send and agree to payment information;If so, then sending the not enough alarm of electricity consumption number of days to client.
Further, in another embodiment of the present invention, as shown in fig. 7, also including after the S104:
S1041:Electric energy meter is stored the basic electricity price information.
Specifically, the basic electricity price information is stored in electricity price information storage module by electric energy meter.
S1042:According to the following electricity price of the basic electricity price data-evaluation first of storage.
Described first following electricity price is determined according to the basic electricity price information being stored in electricity price information storage module, example
If current time is that first week this month, second week and the 3rd week have been stored in this month 4th week, electricity price information storage module
Daily different periods electricity price, then the electricity price of the daily different periods of 4th week can then use first week, second week and the 3rd
The average value of the electricity price of the daily correspondence period in week is determined, is used as the first following electricity price.
S1043:Judge whether that the basic electricity price information at current time can be received, if so, S105 is then performed, if it is not,
Then perform S105 '.
The reason for using the first following electricity price is exactly the basic electricity price information for being that current time can not be received, so working as
When can not receive the basic electricity price information at current time, just switch to receive the first following electricity price.The judgement operation tool of this step
Body is completed by electricity price selecting module.The basic electricity price information for leading to not to receive current time can be it is many, for example
Server carries out that caused by system upgrade etc. basic electricity price information can not be sent, or because following electrovalence policy is being formulated
In without determination basic electricity price information produce etc..
S105’:Electric energy meter calculates odd-numbered day consumption according to the odd-numbered day timesharing power consumption information and the first following electricity price information
The electric amount of money, performs S106 afterwards.
Further, as shown in figure 8, after the S104, in addition to:
S1041’:According to odd-numbered day timesharing power consumption information, basic electricity price information is floated;
Specifically, electricity price information relocatable module obtains user daily in the crest period from daily power use by time shearing amount determining section
With the power consumption of trough period, the relation between the total power consumption of crest period and the total power consumption of trough period is judged, come true
It is fixed whether basic electricity price to be floated or floated downward.A kind of optional mode is that the total power consumption for calculating the crest period is accounted for entirely
Whether the ratio of its total power consumption is more than the first proportion threshold value, and the total power consumption of trough period accounts for the ratio of whole day total power consumption
Whether it is less than the second proportion threshold value, if being all, basic electricity price is floated;The total power consumption for calculating the trough period accounts for whole day
Whether the ratio of total power consumption is more than the 3rd proportion threshold value, and the total power consumption of crest period accounts for the ratio of whole day total power consumption and is
It is no to be less than the 4th proportion threshold value if so, then being floated downward basic electricity price.
S1042’:Electricity price information after floating is stored;
The electricity price information storage module storage is that the electricity of electricity price estimation can be carried out as electricity price information estimation module
Valency information, when there is electricity price floating, customer consumption is calculated with adjustment of electricity charges, in order that the electricity price of prediction is more accurate
Really, the storage of electricity price information storage module should be stored the electricity price information after floating, more to prepare to estimate electricity price.
S1043’:According to the following electricity price of electricity price data-evaluation after the floating of storage second.
Described second following electricity price is put down by the adjustment of electricity charges not on the same day being stored in electricity price information storage module
Obtained from calculating.
S1044’:Judge whether that the adjustment of electricity charges information at current time can be received, if so, then electric energy meter is according to described
Odd-numbered day timesharing power consumption information and the adjustment of electricity charges information, calculate the odd-numbered day power consumption amount of money, S106 are performed afterwards, if it is not, then electric energy
Table calculates the odd-numbered day power consumption amount of money, performed afterwards according to the odd-numbered day timesharing power consumption information and the second following electricity price information
S106。
Further, if the S107 judged results are yes, as shown in figure 9, methods described also includes:
S108:What electric energy meter reception payment platform was sent buys (or sell) on credit electric amount information;
It is described that to buy (or sell) on credit electric amount information generated according to consumer record of the user on payment platform.User is paying flat
The time persistently consumed on platform is longer, and monthly the amount of consumption is more stable in certain number, and described to buy (or sell) on credit the electric amount of money more.
S109:Electric energy meter buys (or sell) on credit electric amount information according to and determines that what user can buy (or sell) on credit electricity buys (or sell) on credit electric number of days, and is bought (or sell) on credit described
Electric number of days is sent to client.
The odd-numbered day amount of consumption that electric energy meter is predicted according to odd-numbered day amount of consumption prediction section, it is determined that buys (or sell) on credit that the electric amount of money can use buys (or sell) on credit
Electric number of days, for example, the odd-numbered day amount of consumption predicted is 10 yuan, buys (or sell) on credit the electric amount of money for 50 yuan, then it is 5 days to buy (or sell) on credit electric number of days, electric energy meter will
Buy (or sell) on credit electric number of days and amount of consumption confirmation is all sent to client, corresponding information is shown to user.
Further, client receive electric energy meter transmission information have two kinds, the first is:Receive that " amount of consumption is true
Recognize " information, such as user pays 100 yuans by client, and selects it is expected that using number of days be 30 days, passes through electric energy meter
Calculate, obtained result is the electric energy that the enough users of 100 yuans use 30 days, then " PLSCONFM is shown on client Display
The information of payment ", the respective keys that user is clicked in client determine to be paid to payment platform;It is for second:Such as user
100 yuans are paid by client, and select it is expected that using number of days be 50 days, by the calculating of electric energy meter, obtained knot
For 100 yuans, only enough families use the electric energy of 30 days to fruit, and the electric number of days of buying (or sell) on credit of user is up to 5 days, then in client Display
The information of upper display " you can buy (or sell) on credit electricity 5 days, and this pays you and is at best able to using 35 days electric energy, PLSCONFM ", it is for reference.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God is with principle, and any modification, equivalent substitution and improvements done etc. should be included within the scope of protection of the invention.
Claims (10)
1. a kind of prepayment electric energy meter system, it is characterised in that the system according to the user of user's recharge amount and prediction not
Carry out the prediction electricity consumption number of days that the odd-numbered day amount of consumption determines user, and by prediction electricity consumption number of days with it is expected that electricity consumption number of days is compared, with
Remind whether user's recharge amount meets expectation electricity consumption number of days.
2. prepayment electric energy meter system according to claim 1, it is characterised in that the system includes client, service
Device, payment platform, concentrator and electric energy meter;The client is connected with server by internet;The server also with branch
Platform is paid to connect by internet;The payment platform is connected with client;
The server is used for the charging information for receiving user's transmission, and the charging information is sent into electric energy meter, described to fill
Value information at least includes recharge amount and expects electricity consumption number of days;
The payment platform is used to receive amount of consumption information by server, and is received according to amount of consumption information to client
Money;The payment platform is additionally operable to buy (or sell) on credit electric amount information to electric energy meter transmission user;
The server is additionally operable to send basic electricity price information to electric energy meter;
The electric energy meter includes:
Communication module, is exchanged for entering row information with server;
Electric energy detection portion is used to detect power consumption:
Power quantity predicting portion, the historical record for consuming electric energy according to user, the following daily power consumption of prediction user;
Electricity price determining section, for determining electricity price information;
Odd-numbered day amount of consumption prediction section, for according to the following daily power consumption and the following odd-numbered day amount of consumption of electricity price information prediction;
Number of days portion is predicted, for according to the following odd-numbered day amount of consumption and the recharge amount received, predicting electricity consumption number of days;
Decision-making portion is judged, for the size for the expectation electricity consumption number of days for judging the electricity consumption number of days of prediction and receiving, if the use of prediction
Electric number of days be less than expect electricity consumption number of days, then to buy (or sell) on credit electric treatment module send buy (or sell) on credit electric solicited message;If the electricity consumption number of days of prediction is more than
Equal to electricity consumption number of days is expected, then amount of consumption confirmation is sent to consumption predictions portion;
Electric treatment module is bought (or sell) on credit, the electric solicited message of buying (or sell) on credit of decision-making portion transmission is judged for receiving, and receives buying (or sell) on credit for payment platform transmission
Electric amount information, and buy (or sell) on credit electric amount information by described and be sent to consumption predictions portion;
Consumption predictions portion, electric amount information or amount of consumption confirmation are bought (or sell) on credit for receiving.
3. prepayment electric energy meter system according to claim 2, it is characterised in that the power quantity predicting portion includes:
History data store portion, for storing the history electricity consumption data obtained from electric energy detection portion;
Mapping portion, for according to the history electricity consumption data stored in the history data store portion, drawing per daily power consumption curve
Figure;
Daily power use by time shearing amount determining section, for determining use of the user in each preset time period in every daily power consumption curve map
Electricity.
4. prepayment electric energy meter system according to claim 2, it is characterised in that the electricity price determining section includes:
Basic electricity price receiving module, the basic electricity price information for receiving future from server;
Electricity price information storage module, for storing electricity price information;
Electricity price information estimation module, for when underlying price receiving module is not received by basic electricity price information, passing through storage
Electricity price in electricity price information storage module, estimates following electricity price;
Electricity price selecting module, for the electricity price that selects to estimate in electricity price information estimation unit or by basic electricity price receiving module
In electricity price information be sent to odd-numbered day amount of consumption prediction section.
5. prepayment electric energy meter system according to claim 4, it is characterised in that the electricity price determining section also includes electricity price
Information relocatable module, the electricity price information relocatable module is connected with basic electricity price information receiving module, receives basic electricity price information,
The electricity price information relocatable module is also connected with power quantity predicting portion, and basic electricity price is floated for the power consumption according to prediction
Or float downward;The electricity price information storage module is used to store electricity price after the floating generated in electricity price information relocatable module;The electricity
Valency selecting module is used to selecting will the electricity price that be estimated in electricity price information estimation unit or by the electricity in electricity price information relocatable module
Valency information is sent to odd-numbered day amount of consumption prediction section.
6. according to any described prepayment electric energy meter system of claim 4 or 5, it is characterised in that the electricity price determining section is also
Including:
Instantaneous electricity price information receiving module, the expression that the instantaneous electricity price information receiving module is used for the reception server transmission is current
The instantaneous electricity price information of moment electricity price;
Instantaneous electricity price cumulative mean module, for accumulating the instantaneous electricity price that each reception of storage is arrived;
Electricity price information computational module, for calculating average to the multiple instantaneous electricity prices being stored in instantaneous electricity price cumulative mean module
Value, obtains the average electricity price in one section of preset time period;The electricity price information computational module connects with electricity price information storage module
Connect, the average electricity price in each section of preset time period is sent into electricity price information storage module is stored.
7. a kind of electric energy meter pre-paying method, it is characterised in that methods described includes step:
Step 1:User end to server sends payment information, when the payment information includes payment information and expects electricity consumption
Long message;
Step 2:Server receives the payment information, and the payment information is sent into electric energy meter;
Step 3:Electric energy meter determines user's odd-numbered day timesharing power consumption information according to conventional power consumption rule;
Step 4:Electric energy meter receives basic electricity price information from server;
Step 5:Electric energy meter calculates the odd-numbered day power consumption amount of money according to the odd-numbered day timesharing power consumption information and basic electricity price information;
Step 6:Electric energy meter calculates prediction electricity consumption number of days according to the odd-numbered day power consumption amount of money and payment information;
Step 7:Electric energy meter judges whether the prediction electricity consumption number of days is less than and expects electricity consumption number of days, if it is not, then being sent out to payment platform
Send agreement payment information;If so, then performing step 8;
Step 8:What electric energy meter reception payment platform was sent buys (or sell) on credit electric amount information;
Step 9:Electric energy meter buys (or sell) on credit electric amount information according to and determines that what user can buy (or sell) on credit electricity buys (or sell) on credit electric number of days, and buys (or sell) on credit electric day by described
Number is sent to client.
8. method according to claim 7, it is characterised in that the step 3 includes:
History electricity consumption data is obtained from electric energy detection portion;
Drawn according to history electricity consumption data per daily power consumption curve map;
The power consumption in each preset time period is determined according to every daily power consumption curve map, is believed as user's odd-numbered day timesharing power consumption
Breath.
9. method according to claim 7, it is characterised in that also include after the step 4:
Step 41:The basic electricity price information is stored;
Step 42:According to the following electricity price of the basic electricity price data-evaluation first of storage;
Step 43:Judge whether that the basic electricity price information at current time can be received, if can, step 5 is performed, if it is not, then
Perform step 5 ';
Step 5 ':Electric energy meter calculates odd-numbered day power consumption according to the odd-numbered day timesharing power consumption information and the first following electricity price information
The amount of money, performs step 6 afterwards.
10. method according to claim 6, it is characterised in that after the step 4, in addition to:
Step 41 ':According to odd-numbered day timesharing power consumption information, basic electricity price information is floated;
Step 42 ':Electricity price information after floating is stored;
Step 43 ':According to the following electricity price of electricity price data-evaluation after the floating of storage second;
Step 44 ':Judge whether that the adjustment of electricity charges information at current time can be received, if can, electric energy meter is according to the list
Power consumption information and the adjustment of electricity charges information during bu, calculate the odd-numbered day power consumption amount of money, if can not, electric energy meter is according to the odd-numbered day
Timesharing power consumption information and the second following electricity price information, calculate the odd-numbered day power consumption amount of money, step 6 are performed afterwards.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710510027.9A CN107292444A (en) | 2017-06-28 | 2017-06-28 | A kind of prepayment electric energy meter system and electric energy meter pre-paying method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710510027.9A CN107292444A (en) | 2017-06-28 | 2017-06-28 | A kind of prepayment electric energy meter system and electric energy meter pre-paying method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107292444A true CN107292444A (en) | 2017-10-24 |
Family
ID=60098726
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710510027.9A Pending CN107292444A (en) | 2017-06-28 | 2017-06-28 | A kind of prepayment electric energy meter system and electric energy meter pre-paying method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107292444A (en) |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109509306A (en) * | 2018-09-30 | 2019-03-22 | 宁波三星智能电气有限公司 | A method of it calculating pre-paying kilowatt-hour meter residue and uses number of days |
CN109670938A (en) * | 2018-10-10 | 2019-04-23 | 苏宁消费金融有限公司 | Collage-credit data merges the method and system reported |
CN110059971A (en) * | 2019-04-24 | 2019-07-26 | 深圳市艾赛克科技有限公司 | Energy monitoring management method and device |
CN111050008A (en) * | 2019-12-12 | 2020-04-21 | 北京金山云网络技术有限公司 | Account balance reminding method and device, electronic equipment and storage medium |
CN111563764A (en) * | 2020-04-21 | 2020-08-21 | 南京能瑞自动化设备股份有限公司 | Electricity price calculation method and device, shared electricity utilization system and storage medium |
CN111798620A (en) * | 2020-07-13 | 2020-10-20 | 深圳供电局有限公司 | Intelligent prepayment system and prepayment method thereof |
CN113255996A (en) * | 2021-05-24 | 2021-08-13 | 国家电网有限公司大数据中心 | Tagged electricity charge balance management method, device, equipment and storage medium |
CN113506187A (en) * | 2021-06-29 | 2021-10-15 | 云南电网有限责任公司 | Power cost control method and device |
CN115171280A (en) * | 2022-08-01 | 2022-10-11 | 宁波三星医疗电气股份有限公司 | Fee control processing method of prepaid electric energy meter, intelligent electric meter and storage medium |
CN116093934A (en) * | 2023-02-17 | 2023-05-09 | 江苏云快充新能源科技有限公司 | Method for measuring and calculating electric quantity information of energy storage equipment, computer equipment and storage medium |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1564577A (en) * | 2004-03-23 | 2005-01-12 | 中兴通讯股份有限公司 | Method of setting up precharging user's properties through charging card |
CN101738519A (en) * | 2008-11-07 | 2010-06-16 | 深圳市宝利达实业有限公司 | Electricity consumption payment settlement system and implementation method thereof |
CN103413217A (en) * | 2013-08-30 | 2013-11-27 | 国家电网公司 | Control method and control device for prepayment system |
CN103955821A (en) * | 2014-04-01 | 2014-07-30 | 华为技术有限公司 | Recharging method, recharging terminal and recharging server |
CN105279856A (en) * | 2015-10-16 | 2016-01-27 | 北京恒华伟业科技股份有限公司 | Electricity billing method and system |
CN105488688A (en) * | 2015-05-15 | 2016-04-13 | 广州交易猫信息技术有限公司 | Commodity information pushing method, device and system |
CN105976088A (en) * | 2016-04-27 | 2016-09-28 | 北京科东电力控制系统有限责任公司 | Marketing remote real-time cost control application operation analysis and monitoring method |
CN106575422A (en) * | 2014-08-07 | 2017-04-19 | 欧保能源公司 | Energy management system and method |
-
2017
- 2017-06-28 CN CN201710510027.9A patent/CN107292444A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1564577A (en) * | 2004-03-23 | 2005-01-12 | 中兴通讯股份有限公司 | Method of setting up precharging user's properties through charging card |
CN101738519A (en) * | 2008-11-07 | 2010-06-16 | 深圳市宝利达实业有限公司 | Electricity consumption payment settlement system and implementation method thereof |
CN103413217A (en) * | 2013-08-30 | 2013-11-27 | 国家电网公司 | Control method and control device for prepayment system |
CN103955821A (en) * | 2014-04-01 | 2014-07-30 | 华为技术有限公司 | Recharging method, recharging terminal and recharging server |
CN106575422A (en) * | 2014-08-07 | 2017-04-19 | 欧保能源公司 | Energy management system and method |
CN105488688A (en) * | 2015-05-15 | 2016-04-13 | 广州交易猫信息技术有限公司 | Commodity information pushing method, device and system |
CN105279856A (en) * | 2015-10-16 | 2016-01-27 | 北京恒华伟业科技股份有限公司 | Electricity billing method and system |
CN105976088A (en) * | 2016-04-27 | 2016-09-28 | 北京科东电力控制系统有限责任公司 | Marketing remote real-time cost control application operation analysis and monitoring method |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109509306A (en) * | 2018-09-30 | 2019-03-22 | 宁波三星智能电气有限公司 | A method of it calculating pre-paying kilowatt-hour meter residue and uses number of days |
CN109670938A (en) * | 2018-10-10 | 2019-04-23 | 苏宁消费金融有限公司 | Collage-credit data merges the method and system reported |
CN110059971A (en) * | 2019-04-24 | 2019-07-26 | 深圳市艾赛克科技有限公司 | Energy monitoring management method and device |
CN111050008A (en) * | 2019-12-12 | 2020-04-21 | 北京金山云网络技术有限公司 | Account balance reminding method and device, electronic equipment and storage medium |
CN111563764A (en) * | 2020-04-21 | 2020-08-21 | 南京能瑞自动化设备股份有限公司 | Electricity price calculation method and device, shared electricity utilization system and storage medium |
CN111798620A (en) * | 2020-07-13 | 2020-10-20 | 深圳供电局有限公司 | Intelligent prepayment system and prepayment method thereof |
CN113255996A (en) * | 2021-05-24 | 2021-08-13 | 国家电网有限公司大数据中心 | Tagged electricity charge balance management method, device, equipment and storage medium |
CN113255996B (en) * | 2021-05-24 | 2024-03-26 | 国家电网有限公司大数据中心 | Method, device, equipment and storage medium for managing tagged electric charge balance |
CN113506187A (en) * | 2021-06-29 | 2021-10-15 | 云南电网有限责任公司 | Power cost control method and device |
CN115171280A (en) * | 2022-08-01 | 2022-10-11 | 宁波三星医疗电气股份有限公司 | Fee control processing method of prepaid electric energy meter, intelligent electric meter and storage medium |
CN115171280B (en) * | 2022-08-01 | 2023-08-11 | 宁波三星医疗电气股份有限公司 | Fee control processing method of prepaid electric energy meter, intelligent electric energy meter and storage medium |
CN116093934A (en) * | 2023-02-17 | 2023-05-09 | 江苏云快充新能源科技有限公司 | Method for measuring and calculating electric quantity information of energy storage equipment, computer equipment and storage medium |
CN116093934B (en) * | 2023-02-17 | 2023-11-21 | 江苏云快充新能源科技有限公司 | Method for measuring and calculating electric quantity information of energy storage equipment, computer equipment and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107292444A (en) | A kind of prepayment electric energy meter system and electric energy meter pre-paying method | |
JP5899640B2 (en) | Power management apparatus, power management method, and power management system | |
CN106789563B (en) | Electricity consumption business prompting method and device | |
RU2011117560A (en) | METHOD AND SYSTEM FOR APPLICATION OF ENVIRONMENTS RELATING TO THE ENVIRONMENT | |
US20180158150A1 (en) | Method, system, and device for estimating a cost of electricity provided to an electric vehicle at an electric vehicle charger | |
CN104680661B (en) | A kind of family multilist intelligence prepaying charge method and apparatus | |
CN110490695A (en) | A kind of monitoring method and equipment of expendable excess | |
CN107730398A (en) | The recommendation method, apparatus and storage medium of electricity consumption charging mode | |
CA2950680A1 (en) | A method, system, and device for estimating a cost of electricity provided to an electric vehicle at an electric vehicle charger | |
KR101530314B1 (en) | Demand response system and method thereof | |
CN110544037A (en) | Fee urging system and method based on credit rating evaluation of power consumer | |
CN110555612A (en) | Payment system and method based on credit rating evaluation of power consumer | |
WO2015072043A1 (en) | Advertisement distribution server computer and advertisement distribution system | |
EP4250220A2 (en) | Configurable billing with subscriptions having conditional components | |
CN108596384A (en) | The method and apparatus of pre- electricity payment | |
KR101762626B1 (en) | Apparatus and method for calculating electric power charge in power automation system | |
JP2010501930A (en) | Utility sales system and method | |
WO2017035571A1 (en) | Analysing smart meter data for solar or storage recommendation | |
CN115997232A (en) | Intelligent ammeter | |
CN101661648A (en) | Novel prepayment multi-functional ammeter | |
JP2004013781A (en) | Device and method for managing gas rate | |
JP7385190B1 (en) | Waste treatment equipment, billing amount calculation method, program, and waste treatment system | |
KR101839309B1 (en) | Distributed ess management apparatus | |
CN117196543B (en) | Multi-purpose ammeter recharging management method and system based on fund pool | |
JP6146532B2 (en) | Control device, control method, and program |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171024 |