CN106803309B - A kind of method and apparatus that financial self-service equipment adds paper money to predict - Google Patents
A kind of method and apparatus that financial self-service equipment adds paper money to predict Download PDFInfo
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- CN106803309B CN106803309B CN201710040218.3A CN201710040218A CN106803309B CN 106803309 B CN106803309 B CN 106803309B CN 201710040218 A CN201710040218 A CN 201710040218A CN 106803309 B CN106803309 B CN 106803309B
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- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D11/00—Devices accepting coins; Devices accepting, dispensing, sorting or counting valuable papers
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Abstract
The present invention is suitable for financial technology field, provides a kind of method and apparatus that financial self-service equipment adds paper money to predict, it is intended to solve to add paper money maintenance to cause the cash utilization rate of financial self-service equipment low at regular time and quantity in the prior art, bank operations problem at high cost.The described method includes: obtaining configuration parameter, date range, collection frequency and the number of samples of the configuration parameter includes plus paper money is predicted scheduled date, historical trading data；According to the configuration parameter, the scheduled date corresponding historical trading data is obtained；Calculate the scheduled date according to the historical trading data plus paper money amount of money；According to the output of the described plus paper money amount of money plus paper money prediction address.Technical solution of the present invention realizes predict the scheduled date according to the historical trading data plus paper money amount of money, and administrative staff can be made to carry out on-demand plus paper money maintenance to financial self-service equipment, to improve cash utilization rate, reduce the operation cost of bank.
Description
Technical field
The present invention relates to the method and apparatus that financial technology field more particularly to a kind of financial self-service equipment add paper money to predict.
Background technique
In order to guarantee that the cash storage in financial self-service equipment is sufficient, the administrative staff for generally requiring financial self-service equipment are fixed
Phase carries out plus paper money maintenance.Currently, the mode generallyd use at regular time and quantity carries out adding paper money maintenance.At regular time and quantity plus paper money maintenance mode
Service logic is simple, also relatively low to the skill requirement of administrative staff convenient for operation.
But since there are hardware differences for different financial self-service equipments, deployment place is different and exchange hour is different
Etc. othernesses, cause at regular time and quantity plus paper money mode inevitably have the following problems:
On the one hand, certain financial self-service equipments are overstock a large amount of cash in equipment, are caused cash due to trading volume deficiency
Utilization rate is low；On the other hand, certain financial self-service equipments due to trading volume it is very big, there are the insufficient feelings of cash storage in equipment
Condition influences customer experience, while also causing adverse effect to the external image of bank, and behavior also can if frequent progress adds paper money
Increase the operating cost of bank.
In addition, the trading volume of same financial self-service equipment section in different times can also have larger difference, such as together
One equipment on weekdays can be bigger with the trading volume difference of festivals or holidays, it may appear that a period of time overstocked buckets of cash, and one
The phenomenon that section time and run out of cash, the cash utilization rate that will also result in financial self-service equipment is low.
Summary of the invention
The purpose of the present invention is to provide the method and apparatus that a kind of financial self-service equipment adds paper money to predict, it is intended to solve existing
Paper money maintenance is added to cause the cash utilization rate of financial self-service equipment low at regular time and quantity in technology, bank operations problem at high cost.
The first aspect of the present invention provides a kind of method that financial self-service equipment adds paper money to predict, comprising:
Configuration parameter is obtained, the date model of the configuration parameter includes plus paper money is predicted scheduled date, historical trading data
It encloses, collection frequency and number of samples；
According to the configuration parameter, the scheduled date corresponding historical trading data is obtained；
Calculate the scheduled date according to the historical trading data plus paper money amount of money；
According to the output of the described plus paper money amount of money plus paper money prediction address.
The second aspect of the present invention provides a kind of device that financial self-service equipment adds paper money to predict, comprising:
Parameter acquisition module, for obtaining configuration parameter, the configuration parameter includes the scheduled date for adding paper money prediction, history
Date range, collection frequency and the number of samples of transaction data；
Data acquisition module, for obtaining the scheduled date corresponding historical trading according to the configuration parameter
Data；
Computing module, for calculate the scheduled date according to the historical trading data plus paper money amount of money；
Output module, for according to the output of the described plus paper money amount of money plus paper money prediction address.
Existing beneficial effect is the present invention compared with prior art: by obtain include plus the scheduled date of paper money prediction,
The configuration parameter of the date range of historical trading data, collection frequency and number of samples obtains specified day according to the configuration parameter
Phase corresponding historical trading data, and the paper money amount of money is added according to the historical trading data calculating scheduled date, according to this plus paper money gold
Volume output plus paper money prediction address.Technical solution of the present invention realizes according to the historical trading data prediction scheduled date plus paper money gold
Volume, administrative staff can be made, which to carry out on-demand plus paper money maintenance to financial self-service equipment, reduces bank to improve cash utilization rate
Operation cost.
Detailed description of the invention
Fig. 1 is the flow chart for the method that a kind of financial self-service equipment that the embodiment of the present invention one provides adds paper money to predict；
Fig. 2 is the flow chart for the method that a kind of financial self-service equipment provided by Embodiment 2 of the present invention adds paper money to predict；
Fig. 3 is the structural schematic diagram for the device that a kind of financial self-service equipment that the embodiment of the present invention three provides adds paper money to predict；
Fig. 4 is the structural schematic diagram for the device that a kind of financial self-service equipment that the embodiment of the present invention four provides adds paper money to predict.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Realization of the invention is described in detail below in conjunction with specific attached drawing.
Embodiment one:
Fig. 1 is the flow chart for the method that a kind of financial self-service equipment that the embodiment of the present invention one provides adds paper money to predict, Fig. 1 shows
The method that the financial self-service equipment of example adds paper money to predict can specifically include step S101 to step S104, and details are as follows:
S101, configuration parameter is obtained, the date of which includes plus paper money is predicted scheduled date, historical trading data
Range, collection frequency and number of samples.
Specifically, when being carried out to financial self-service equipment plus paper money prediction, it is necessary first to obtain needed for add paper money prediction
Configuration parameter.It can configured by way of the design parameter for providing a user configuration interface and needing to configure according to user
The parameter value of interface input obtains configuration parameter.
Date range, collection frequency and the sample of configuration parameter includes plus paper money is predicted scheduled date, historical trading data
Number.Wherein, the scheduled date for adding paper money to predict refers to the date for carrying out adding paper money prediction to financial self-service equipment, historical trading data
Date range refer to the financial self-service equipment cash transaction historical data the collection period, collection frequency refers to the date model
In enclosing, the extraction density of the sample data of cash transaction extracts the time interval of sample data, number of samples referred in the day
According to the collection frequency within the scope of phase, the quantity for the sample data for needing to extract.
Financial self-service equipment can be ATM (Automatic Teller Machine, ATM), withdrawal one
The automatic equipments such as machine (Cash Recycling System, CRS).
S102, according to configuration parameter, obtain scheduled date corresponding historical trading data.
Specifically, the configuration parameter obtained according to step S101, in the date range of configuration, according to collection frequency and sample
This number obtains scheduled date corresponding historical trading data, the sample collection date of the historical trading data and scheduled date
It is corresponding.
Historical trading data is generally held in the local statistical data of financial self-service equipment, can also pass through finance self-help
The network connection of equipment and the server-side of its bank serviced, is periodically saved in server-side.Obtaining, the scheduled date is corresponding
When historical trading data, historical trading data can be obtained from corresponding save location according to the date range of configuration.
For example, the scheduled date is on December 30th, 2016, the date range of historical trading data be on December 1st, 2016 extremely
December 28, collection frequency are 7 days/, and number of samples is 4, then according to the configuration parameter, 1 day to 12 December in 2016
In the date range on the moon 29, with one sample of collection in every 7 days, the mode of 4 samples is collected in total, obtains in December, 2016
The historical trading data on continuous 4 Friday before December 30 (Friday).
S103, calculate the scheduled date according to scheduled date corresponding historical trading data plus the paper money amount of money.
Specifically, the historical trading data got according to step S102 calculates and adds the paper money amount of money expected from the scheduled date.
Continuation is illustrated with the citing of step S102, in the December, 2016 got in December 30 (Friday)
The historical trading data on continuous 4 Friday before carries out data processing, extrapolates in expected needs on December 30th, 2016
Plus the paper money amount of money.Such as can be in such a way that the withdrawal amount of money to continuous 4 Friday is averaged, or use to even
The mode that the withdrawal amount of money on continuous 4 Friday is maximized can also use other data processing methods, specifically can root
Need to select data processing method according to practical application, herein with no restrictions.
S104, basis plus the output of the paper money amount of money plus paper money prediction address.
Specifically, the paper money amount of money, output plus paper money prediction address are added according to the step S103 scheduled date being calculated, should added
Paper money prediction address may include historical trading data and comprising add the paper money amount of money plus paper money prediction result, and pass through the side that picture and text combine
Formula is intuitively shown that the administrative staff for financial self-service equipment carry out plus paper money maintenance provides plus the judgment basis of the paper money amount of money, is made
Paper money can be added on demand according to prediction result by obtaining administrative staff, improve the utilization rate of cash, the operating cost of bank is effectively reduced.
It is understood that can be calculated not according to historical trading data when the scheduled date is continuous one section of date
Carry out estimated the need plus paper money amount of money in a period of time, and is shown in adding paper money prediction address.The management of financial self-service equipment
Personnel add paper money prediction address according to this, it can be estimated that the situation of change for going out trading volume in following a period of time is formulated add paper money in advance
The O&M scheme of scheme and equipment guarantees the normal operation of equipment to improve the utilization rate of self-service device.
It should be noted that the executing subject of the embodiment of the present invention can be financial self-service equipment, it is also possible to finance certainly
The background server for the bank for helping equipment to be serviced.When executing subject is financial self-service equipment, the technology of the embodiment of the present invention
The application transaction system that scheme directly passes through financial self-service equipment executes.
Add paper money prediction address that can intuitively show on the administration interface of the application management system of financial self-service equipment, it can also
To be shown in the background server for the bank that financial self-service equipment is serviced, paper money can also will be added to observe and predict in advance by Internet technology
On the mobile terminal for accusing the administrative staff for being pushed to financial self-service equipment, to facilitate administrative staff can be in time according to prediction result
That formulates managed financial self-service equipment adds paper money scheme.
It, can also be with it should be noted that the technical solution of the embodiment of the present invention can be executed according to the timing of preset period
It is actively initiated, is configured with specific reference to practical application needs, herein with no restrictions by administrative staff.
It include the scheduled date for adding paper money prediction, the date range of historical trading data, collection by obtaining in the present embodiment
The configuration parameter of frequency and number of samples, according to configuration parameter acquisition scheduled date corresponding historical trading data, and according to
The historical trading data calculating scheduled date adds the paper money amount of money, and according to this plus the paper money amount of money exports plus paper money prediction address.On the one hand, lead to
The calculate the scheduled date plus paper money amount of money is crossed, administrative staff can be made to carry out on-demand plus paper money maintenance to financial self-service equipment, thus
Cash utilization rate is improved, the operation cost of bank is reduced；On the other hand, by output plus paper money prediction address, prediction is one section following
Trading volume situation in time enables administrative staff to prepare counte-rplan in advance, guarantees that financial self-service equipment can be maximum
The cash call service incessantly of degree enhances customer experience, improves service quality to improve the utilization rate of self-service device
And user satisfaction.
Embodiment two:
Fig. 2 is the flow chart for the method that a kind of financial self-service equipment provided by Embodiment 2 of the present invention adds paper money to predict, Fig. 2 shows
The method that the financial self-service equipment of example adds paper money to predict can specifically include step S201 to step S206, and details are as follows:
S201, configuration parameter is obtained, the date of which includes plus paper money is predicted scheduled date, historical trading data
Range, collection frequency and number of samples.
Specifically, when being carried out to financial self-service equipment plus paper money prediction, it is necessary first to obtain needed for add paper money prediction
Configuration parameter.It can configured by way of the design parameter for providing a user configuration interface and needing to configure according to user
The parameter value of interface input obtains configuration parameter.
Date range, collection frequency and the sample of configuration parameter includes plus paper money is predicted scheduled date, historical trading data
Number.Wherein, the scheduled date for adding paper money to predict refers to the date for carrying out adding paper money prediction to financial self-service equipment, historical trading data
Date range refer to the financial self-service equipment cash transaction historical data the collection period, collection frequency refers to the date model
In enclosing, the extraction density of the sample data of cash transaction extracts the time interval of sample data, usual time interval is daily counted
It calculates, number of samples refers to the quantity for the sample data for, according to the collection frequency, needing to extract in the date range.
Financial self-service equipment can be the automatic equipments such as ATM, CRS.
S202, date range and collection frequency according to historical trading data update number of samples.
Specifically, the number of days of the date range is calculated according to the date range of historical trading data, and as follows
Update number of samples:
If TC≤TW× N, thenOtherwise N is remained unchanged, wherein TCFor the date model of historical trading data
The number of days enclosed, TWFor collection frequency, N is number of samples.
S203, it is obtained according to the scheduled date for adding paper money to predict according to updated number of samples in the date range of configuration
Historical trading data corresponding with the scheduled date is taken, which includes withdrawal total amount and deposit total amount.
Specifically, according to the scheduled date for adding paper money to predict, in the date range of configuration, according to collection frequency and after updating
Number of samples, obtain the scheduled date it is corresponding including withdrawal total amount and deposit total amount historical trading data, the history
The sample collection date of transaction data is corresponding with the scheduled date.
Historical trading data is generally held in the local statistical data of financial self-service equipment, can also pass through finance self-help
The network connection of equipment and the server-side of its bank serviced, is periodically saved in server-side.Obtaining, the scheduled date is corresponding
When historical trading data, historical trading data can be obtained from corresponding save location according to the date range of configuration.
For example, the scheduled date is December 30 (Friday) in 2016, the date range of historical trading data is 2016
December 1 to December 28, collection frequency are 7 days/, and number of samples is 4, then according to the configuration parameter, December 1 in 2016
The number of days of the date range in day to December 29 is 29 days, and updated number of samples remains as 4, then to collect every 7 days
One sample, in total collect 4 samples mode, available in December, 2016 continuous 4 stars before December 30
The withdrawal total amount and deposit total amount of phase five.
S204, the average weighted amount of money for calculating scheduled date corresponding historical trading data.
Specifically, the average weighted amount of money for calculating scheduled date corresponding historical trading data can be real by following process
Existing, detailed description are as follows:
The average weighted amount of money is calculated according to formula (1):
Wherein,For the average weighted amount of money, N is number of samples, AC iFor the historical trading data obtained according to step S203
In i-th of sample withdrawal total amount, AD iDeposit for i-th of sample in the historical trading data that is obtained according to step S203 is total
The amount of money, α are preset deposit weighting coefficient, and the value range of i is [1, N].
Deposit weighting coefficient indicates that the banknote being stored in by financial self-service equipment is realized and recycles and provide the ratio of the service of withdrawal
Example indicates that the financial self-service equipment is cash dispenser or acyclic all-in-one machine when depositing weighting coefficient is 0.Usually deposit adds
Weight coefficient can be set to 0.5, and but it is not limited to this, specifically can carry out specific aim according to the actual conditions of financial self-service equipment
Configuration, herein with no restrictions.
S205, the paper money amount of money is added according to the average weighted amount of money calculating scheduled date.
Specifically, add the paper money amount of money that can realize by following process according to the average weighted amount of money calculating scheduled date, in detail
Carefully it is described as follows:
It is calculated according to formula (2) and adds the paper money amount of money:
Wherein, AFTo add the paper money amount of money,For the average weighted amount of money that step S204 is calculated, β is preset spilling system
Number, ATFor preset paper money case threshold value.
Overflowing coefficient can carry out according to factors such as the hardware features, trading volume size, trade date of financial self-service equipment
Setting.Usually overflowing coefficient can be set to 5%, and but it is not limited to this, specifically can actually be made according to financial self-service equipment
It is adjusted with situation, herein with no restrictions, for example, if financial self-service equipment is placed on crowded and big trading volume ground
Side, then overflowing coefficient can suitably be turned up, if financial self-service equipment is placed on commercial-free zone, trading volume is relatively small, then
Overflowing coefficient can suitably turn down.
Paper money case threshold value is the physical security in order to guarantee the paper money case hardware of financial self-service equipment and the minimum plus paper money limit that is arranged
Volume, i.e. guarantee paper money case will not be hollowed out by physics, extend the service life of paper money case, usual paper money case threshold value can be set to 2000, but not
It is limited to this, can be specifically configured according to the actual conditions of financial self-service equipment, herein with no restrictions.
S206, basis plus the output of the paper money amount of money plus paper money prediction address.
Specifically, the paper money amount of money, output plus paper money prediction address are added according to the step S103 scheduled date being calculated, should added
Paper money prediction address may include historical trading data and comprising add the paper money amount of money plus paper money prediction result, and pass through the side that picture and text combine
Formula is intuitively shown that the administrative staff for financial self-service equipment carry out plus paper money maintenance provides plus the judgment basis of the paper money amount of money, is made
Paper money can be added on demand according to prediction result by obtaining administrative staff, improve the utilization rate of cash, the operating cost of bank is effectively reduced.
It is understood that can be calculated not according to historical trading data when the scheduled date is continuous one section of date
Carry out estimated the need plus paper money amount of money in a period of time, and is shown in adding paper money prediction address.The management of financial self-service equipment
Personnel add paper money prediction address according to this, it can be estimated that the situation of change for going out trading volume in following a period of time is formulated add paper money in advance
The O&M scheme of scheme and equipment guarantees the normal operation of equipment to improve the utilization rate of self-service device.
It should be noted that the executing subject of the embodiment of the present invention can be financial self-service equipment, it is also possible to finance certainly
The background server for the bank for helping equipment to be serviced.When executing subject is financial self-service equipment, the technology of the embodiment of the present invention
The application transaction system that scheme directly passes through financial self-service equipment executes.
Add paper money prediction address that can intuitively show on the administration interface of the application management system of financial self-service equipment, it can also
To be shown in the background server for the bank that financial self-service equipment is serviced, paper money can also will be added to observe and predict in advance by Internet technology
On the mobile terminal for accusing the administrative staff for being pushed to financial self-service equipment, to facilitate administrative staff can be in time according to prediction result
That formulates managed financial self-service equipment adds paper money scheme.
Embodiment in order to better understand the present invention is now illustrated below.
Assuming that today is on December 30th, 2016, need to predict on the December 31st, 2016 of celestial body six to certain financial self-service equipment
Plus the paper money amount of money, then the scheduled date is set as on December 31st, 2016, and the date range of historical trading data can be set to
In on December 30,1 day to 2016 December in 2016, collection frequency is set as 7, and number of samples is set as 4.
According to the configuration parameter of setting, the number of days T of the date range of the available historical trading data for needing to obtainC=
30, the collection frequency T of the historical trading dataW=7, the number of samples N=4 of the historical trading data.According to the configuration parameter,
The historical trading data on continuous 4 weeks Saturday weekly between on December 30, in available to 2016 on December 1, to 2016, such as
Shown in following table.
| The sample date | Withdrawal total amount AC i | Deposit total amount AD i |
| 1st week Saturday (i=1) | 100000 | 80000 |
| 2nd week Saturday (i=2) | 120000 | 110000 |
| 3rd week Saturday (i=3) | 90000 | 100000 |
| 4th week Saturday (i=3) | 110000 | 120000 |
Assuming that preset spilling factor beta=5%, preset paper money case threshold value AT=2000, preset deposit weighting coefficient α=
0.5, according to historical trading data shown in upper table, the average weighted amount of money is calculated by formula (1)It is 215000 yuan, tool
Body is as follows:
According to the average weighted amount of money being calculatedPrediction on December 31st, 2016 is calculated by formula (2)
Plus paper money amount of money AFIt is 58500 yuan, specific as follows:
Therefore, it according to the prediction result, needs to add 58500 yuan of paper money on December 31st, 2016.
It is understood that can also be by continuous 4 weeks daily historical trading datas before on December 31st, 2016
Statistics, to predict the 5th week required daily plus paper money amount of money.
It, can also be with it should be noted that the technical solution of the embodiment of the present invention can be executed according to the timing of preset period
It is actively initiated, is configured with specific reference to practical application needs, herein with no restrictions by administrative staff.
It include the scheduled date for adding paper money prediction, the date range of historical trading data, collection by obtaining in the present embodiment
The configuration parameter of frequency and number of samples updates number of samples according to the date range and collection frequency of historical trading data, and
According to the scheduled date, according to updated number of samples in the date range of configuration, go through corresponding with the scheduled date is obtained
After history transaction data, the average weighted amount of money of scheduled date corresponding historical trading data is calculated according to formula (1), and according to public affairs
Formula (2) the calculating scheduled date adds the paper money amount of money, and then basis should add the paper money amount of money to export and add paper money prediction address.On the one hand, pass through meter
Calculate the scheduled date plus the paper money amount of money, administrative staff can be made to carry out on-demand plus paper money maintenance to financial self-service equipment, to improve
Cash utilization rate reduces the operation cost of bank；On the other hand, by output plus paper money prediction address, following a period of time is predicted
Interior trading volume situation enables administrative staff to prepare counte-rplan in advance, guarantees that financial self-service equipment can be utmostly
Cash call service incessantly enhance customer experience, improve service quality and use to improve the utilization rate of self-service device
Family satisfaction.
Embodiment three:
Fig. 3 is the structural schematic diagram for the device that a kind of financial self-service equipment that the embodiment of the present invention three provides adds paper money to predict,
For ease of description, only parts related to embodiments of the present invention are shown.A kind of exemplary device of business development of Fig. 3 can be with
It is the executing subject that the financial self-service equipment that previous embodiment one provides adds the method for paper money prediction.Fig. 3 it is exemplary it is a kind of finance from
The device for helping equipment that paper money is added to predict includes parameter acquisition module 31, data acquisition module 32, computing module 33 and output module 34,
Detailed description are as follows for each functional module:
Parameter acquisition module 31, for obtaining configuration parameter, the configuration parameter includes the scheduled date for adding paper money prediction, goes through
Date range, collection frequency and the number of samples of history transaction data；
Data acquisition module 32, for obtaining the scheduled date corresponding history and handing over according to the configuration parameter
Easy data；
Computing module 33, for calculate the scheduled date according to the historical trading data plus paper money amount of money；
Output module 34, for according to the output of the described plus paper money amount of money plus paper money prediction address.
Each module realizes the mistake of respective function in the device that a kind of financial self-service equipment provided in this embodiment adds paper money to predict
Journey specifically refers to the description of aforementioned embodiment illustrated in fig. 1, and details are not described herein again.
The device for adding paper money to predict from a kind of exemplary financial self-service equipment of above-mentioned Fig. 3 passes through acquisition it is found that in the present embodiment
The configuration parameter of date range, collection frequency and number of samples including the scheduled date, historical trading data that add paper money to predict, root
Scheduled date corresponding historical trading data is obtained according to the configuration parameter, and the scheduled date is calculated according to the historical trading data
Add the paper money amount of money, according to this plus the paper money amount of money exports plus paper money prediction address.On the one hand, the paper money amount of money, energy are added by the calculating scheduled date
So that administrative staff is carried out on-demand plus paper money maintenance to financial self-service equipment, to improve cash utilization rate, reduces the fortune of bank
Seek cost；On the other hand, by output plus paper money prediction address, the trading volume situation in following a period of time is predicted, so that management
Personnel can prepare counte-rplan in advance, guarantee that financial self-service equipment can put up cash service incessantly to the greatest extent,
To improve the utilization rate of self-service device, enhance customer experience, improves service quality and user satisfaction.
Example IV:
Fig. 4 is the structural schematic diagram for the device that a kind of financial self-service equipment that the embodiment of the present invention four provides adds paper money to predict,
For ease of description, only parts related to embodiments of the present invention are shown.A kind of exemplary device of business development of Fig. 4 can be with
It is the executing subject that the financial self-service equipment that previous embodiment two provides adds the method for paper money prediction.Fig. 4 it is exemplary it is a kind of finance from
The device for helping equipment that paper money is added to predict includes parameter acquisition module 41, data acquisition module 42, computing module 43 and output module 44,
Detailed description are as follows for each functional module:
Parameter acquisition module 41, for obtaining configuration parameter, the configuration parameter includes the scheduled date for adding paper money prediction, goes through
Date range, collection frequency and the number of samples of history transaction data；
Data acquisition module 42, for obtaining the scheduled date corresponding history and handing over according to the configuration parameter
Easy data；
Computing module 43, for calculate the scheduled date according to the historical trading data plus paper money amount of money；
Output module 44, for according to the output of the described plus paper money amount of money plus paper money prediction address.
Further, data acquisition module 42 includes:
Parameter updates submodule 421, for updating the sample according to the date range and the collection frequency
Number；
Amount of money acquisition submodule 422 is used for according to the scheduled date, according to updated institute in the date range
Number of samples is stated, the scheduled date corresponding historical trading data is obtained, the historical trading data includes withdrawing the money always
The amount of money and deposit total amount.
Further, computing module 43 includes:
First computational submodule 431, for calculating the average weighted amount of money of the historical trading data；
Second computational submodule 432, for calculate the scheduled date according to the average weighted amount of money plus paper money amount of money.
Further, the first computational submodule 431 is also used to:
The average weighted amount of money is calculated according to following formula:
Wherein,For the average weighted amount of money, N is the number of samples, AC iThe withdrawal for i-th of sample is always golden
Volume, AD iFor the deposit total amount of i-th of sample, α is preset deposit weighting coefficient, and the value range of i is [1, N].
Further, the second computational submodule 432 is also used to:
The described plus paper money amount of money is calculated according to following formula:
Wherein, AFAdd the paper money amount of money to be described,For the average weighted amount of money, β is preset spilling coefficient, ATIt is default
Paper money case threshold value.
Each module realizes the mistake of respective function in the device that a kind of financial self-service equipment provided in this embodiment adds paper money to predict
Journey specifically refers to the description of aforementioned embodiment illustrated in fig. 2, and details are not described herein again.
The device for adding paper money to predict from a kind of exemplary financial self-service equipment of above-mentioned Fig. 4 passes through acquisition it is found that in the present embodiment
The configuration parameter of date range, collection frequency and number of samples including the scheduled date, historical trading data that add paper money to predict, root
According to the date range and collection frequency of historical trading data, number of samples is updated, and according to the scheduled date, in the date model of configuration
According to updated number of samples in enclosing, after obtaining historical trading data corresponding with the scheduled date, calculated according to formula (1)
The average weighted amount of money of scheduled date corresponding historical trading data, and add the paper money amount of money according to formula (2) calculating scheduled date,
Then basis should add the output of the paper money amount of money plus paper money prediction address.On the one hand, the paper money amount of money is added by the calculating scheduled date, pipe can be made
Reason personnel carry out on-demand plus paper money maintenance to financial self-service equipment, to improve cash utilization rate, reduce the operation cost of bank；
On the other hand, it by output plus paper money prediction address, predicts the trading volume situation in following a period of time, enables administrative staff
Prepare counte-rplan in advance, guarantees that financial self-service equipment can put up cash service incessantly to the greatest extent, to improve
The utilization rate of self-service device enhances customer experience, improves service quality and user satisfaction.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment
What is stressed is the difference from other embodiments, and same or similar part refers to each other between each embodiment
?.For device class embodiment, since it is basically similar to the method embodiment, related so being described relatively simple
Place illustrates referring to the part of embodiment of the method.
It is worth noting that, included modules are only drawn according to function logic in above-mentioned apparatus embodiment
Point, but be not limited to the above division, as long as corresponding functions can be realized；In addition, each functional module is specific
Title is also only for convenience of distinguishing each other, the protection scope being not intended to restrict the invention.
It will appreciated by the skilled person that all or part of the steps in realization the various embodiments described above method is can
It is completed with instructing relevant hardware by program, corresponding program can store in a computer-readable storage medium
In, the storage medium, such as ROM/RAM, disk or CD.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (8)
1. a kind of method that financial self-service equipment adds paper money to predict, which is characterized in that the side that the financial self-service equipment adds paper money to predict
Method includes:
Configuration parameter is obtained in the parameter value that configuration interface inputs according to user, the configuration parameter includes plus what paper money was predicted specifies
The scheduled date of date, the date range of historical trading data, collection frequency and number of samples, the prediction of described plus paper money refers to finance
Self-service device carries out plus the date of paper money prediction, and the date range of the historical trading data refers to that the financial self-service equipment cash is handed over
The collection period of easy historical data, the collection frequency refer to the time interval for extracting sample data, and the number of samples refers to
The quantity for the sample data for needing to extract according to the collection frequency in the date range；
According to the configuration parameter, the scheduled date corresponding historical trading data is obtained；
Calculate the scheduled date according to the historical trading data plus paper money amount of money；
According to the output of the described plus paper money amount of money plus paper money prediction address；
It is described according to the configuration parameter, obtaining the scheduled date corresponding historical trading data includes:
According to the date range and the collection frequency, the number of samples is updated；
According to the scheduled date, according to the updated number of samples in the date range, the specified day is obtained
The phase corresponding historical trading data, the historical trading data include withdrawal total amount and deposit total amount；
The date range and collection frequency according to historical trading data updates number of samples, comprising:
The number of days of the date range is calculated according to the date range of historical trading data, and more new samples as follows
Number:
If TC≤TW× N, thenOtherwise N is remained unchanged, wherein TCFor the date range of historical trading data
Number of days, TWFor collection frequency, N is number of samples.
2. the method that financial self-service equipment according to claim 1 adds paper money to predict, which is characterized in that described to be gone through according to
History transaction data the calculates the scheduled date plus paper money amount of money includes:
Calculate the average weighted amount of money of the historical trading data；
Calculate the scheduled date according to the average weighted amount of money plus paper money amount of money.
3. the method that financial self-service equipment according to claim 2 adds paper money to predict, which is characterized in that gone through described in the calculating
The average weighted amount of money of history transaction data includes:
The average weighted amount of money is calculated according to following formula:
Wherein,For the average weighted amount of money, N is the number of samples, AC iFor the withdrawal total amount of i-th of sample,
AD iFor the deposit total amount of i-th of sample, α is preset deposit weighting coefficient, and the value range of i is [1, N].
4. the method that financial self-service equipment according to claim 2 or 3 adds paper money to predict, which is characterized in that described according to institute
Stating the average weighted amount of money the calculates the scheduled date plus paper money amount of money includes:
The described plus paper money amount of money is calculated according to following formula:
Wherein, AFAdd the paper money amount of money to be described,For the average weighted amount of money, β is preset spilling coefficient, ATFor preset paper money
Case threshold value.
5. the device that a kind of financial self-service equipment adds paper money to predict, which is characterized in that the dress that the financial self-service equipment adds paper money to predict
It sets and includes:
Parameter acquisition module, for obtaining configuration parameter, the configuration parameter in the parameter value that configuration interface inputs according to user
Date range, collection frequency and number of samples including the scheduled date, historical trading data that add paper money to predict, the prediction of described plus paper money
Scheduled date refer to and carry out to financial self-service equipment plus the date of paper money prediction that the date range of the historical trading data refers to this
The collection period of the historical data of financial self-service equipment cash transaction, the collection frequency referred between the time for extracting sample data
Every the number of samples refers to the quantity for the sample data for needing to extract according to the collection frequency in the date range；
Data acquisition module, for obtaining the scheduled date corresponding historical trading data according to the configuration parameter；
Computing module, for calculate the scheduled date according to the historical trading data plus paper money amount of money；
Output module, for according to the output of the described plus paper money amount of money plus paper money prediction address；
The data acquisition module includes:
Parameter updates submodule, for updating the number of samples according to the date range and the collection frequency；
Amount of money acquisition submodule is used for according to the scheduled date, according to the updated sample in the date range
Number, obtains the scheduled date corresponding historical trading data, the historical trading data include withdrawal total amount and
Deposit total amount；
The date range and collection frequency according to historical trading data updates number of samples, comprising:
The number of days of the date range is calculated according to the date range of historical trading data, and more new samples as follows
Number:
If TC≤TW× N, thenOtherwise N is remained unchanged, wherein TCFor the date range of historical trading data
Number of days, TWFor collection frequency, N is number of samples.
6. the device that financial self-service equipment according to claim 5 adds paper money to predict, which is characterized in that the computing module packet
It includes:
First computational submodule, for calculating the average weighted amount of money of the historical trading data；
Second computational submodule, for calculate the scheduled date according to the average weighted amount of money plus paper money amount of money.
7. the device that financial self-service equipment according to claim 6 adds paper money to predict, which is characterized in that described first calculates son
Module is also used to:
The average weighted amount of money is calculated according to following formula:
Wherein,For the average weighted amount of money, N is the number of samples, AC iFor the withdrawal total amount of i-th of sample,
AD iFor the deposit total amount of i-th of sample, α is preset deposit weighting coefficient, and the value range of i is [1, N].
8. the device that financial self-service equipment according to claim 6 or 7 adds paper money to predict, which is characterized in that second meter
Operator module is also used to:
The described plus paper money amount of money is calculated according to following formula:
Wherein, AFAdd the paper money amount of money to be described,For the average weighted amount of money, β is preset spilling coefficient, ATFor preset paper money
Case threshold value.
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| CN110634061A (en) * | 2018-06-22 | 2019-12-31 | 马上消费金融股份有限公司 | Capital demand prediction method and device and terminal equipment |
| CN109034493A (en) * | 2018-08-22 | 2018-12-18 | 阿里巴巴集团控股有限公司 | A kind of account balance prediction technique and device |
| CN110363571B (en) * | 2019-06-24 | 2020-08-28 | 阿里巴巴集团控股有限公司 | Transaction user advance perception method and device |
| US11216832B2 (en) | 2019-06-24 | 2022-01-04 | Advanced New Technologies Co., Ltd. | Predicting future user transactions |
| CN111564008B (en) * | 2020-04-27 | 2022-08-19 | 中国银行股份有限公司 | Cash cash labeling method, device and system for vault |
| CN111708768A (en) * | 2020-05-20 | 2020-09-25 | 广州中智融通金融科技有限公司 | Cash dispatching method, system and storage medium for automatic teller machine |
| CN111612991A (en) * | 2020-06-05 | 2020-09-01 | 中国银行股份有限公司 | ATM maintenance method and device |
| CN111754325B (en) * | 2020-06-24 | 2023-09-12 | 中国银行股份有限公司 | Service data processing method and system |
| CN113222512A (en) * | 2021-05-24 | 2021-08-06 | 中国农业银行股份有限公司 | Data processing method and device of self-service equipment and equipment |
| CN113538771B (en) * | 2021-07-16 | 2023-04-14 | 中国银行股份有限公司 | Identity authentication method and device |
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| CN102096965B (en) * | 2011-01-28 | 2012-08-08 | 迈普通信技术股份有限公司 | Automatic teller machine (ATM) management system and automatic currency delivery method |
| CN102231216B (en) * | 2011-06-27 | 2013-05-22 | 中国建设银行股份有限公司 | Cash management method and system for self-service equipment |
| CN104424598A (en) * | 2013-09-06 | 2015-03-18 | 株式会社日立制作所 | Cash demand quantity predicating device and method |
| CN104077631A (en) * | 2014-06-10 | 2014-10-01 | 通邮(中国)科技有限公司 | Cash management system of automatic teller machine |
| CN105447995B (en) * | 2014-08-27 | 2018-05-15 | 日立金融设备系统（深圳）有限公司 | Load the automatic plan making device of cash and method |
| CN106022600A (en) * | 2016-05-18 | 2016-10-12 | 上海鼎数信息技术有限公司 | Method for determining cash supplement strategy of multiple cash flow stations in specific period |
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