CN112053229A - Data processing method and device applied to distribution of bank notes at network points - Google Patents
Data processing method and device applied to distribution of bank notes at network points Download PDFInfo
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Abstract
The invention discloses a data processing method and a data processing device applied to distribution of bank notes at a network site, which are used for acquiring a bank note distribution request of the network site; acquiring the money distribution time and the money balance information of the network points based on the money distribution request; and processing the money distribution time and the money balance information through a target money distribution proportion matrix to obtain the number of distributed money corresponding to each denomination of the money distributed by the network points, wherein the target money distribution proportion matrix is a matrix obtained by calculation by utilizing historical money distribution proportion data and balance information of money with different denominations of each network point. The method and the device realize updating of the money distribution proportion matrix according to the balance of money of different denominations of daily balance of the network points, and improve the money distribution efficiency and user experience.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data processing method and a data processing device applied to distribution of bank notes at a network point.
Background
At present, people can access the money through bank outlets, and due to different demands, the required amount of the money with different denominations is different. In the process of distributing the bank notes for the bank outlets, the bank notes are generally distributed for each outlet through manual experience or a random mode according to the face value and the number of the existing money, so that the outlet can not obtain the money with the desired face value, the deviation between the number of the distributed bank notes with different face values and the actual demand is large, the accuracy of the bank note distribution demand of the outlet is reduced, and the normal operation of the bank note distribution of the outlet and the experience effect of customers of the outlet are influenced.
Disclosure of Invention
In order to solve the problems, the invention provides a data processing method and a data processing device applied to the bank note distribution of a network point, so that the accuracy of the processing result of the bank note distribution requirement of the network point and the experience effect of a user are improved.
In order to achieve the purpose, the invention provides the following technical scheme:
a data processing method applied to money distribution of a network point comprises the following steps:
acquiring a bank note distribution request of a network point;
acquiring the money distribution time and the money balance information of the network points based on the money distribution request;
and processing the money distribution time and the money balance information through a target money distribution proportion matrix to obtain the number of distributed money corresponding to each denomination of the money distributed by the network points, wherein the target money distribution proportion matrix is a matrix obtained by calculation by utilizing historical money distribution proportion data and balance information of money with different denominations of each network point.
Optionally, the method further comprises:
and generating the initial data of the dispensing ratio of each denomination of currency of each network point through historical dispensing ratio data.
Optionally, the method further comprises:
calculating to obtain the actual demand proportion of each denomination of each currency of each network point on the same day based on the actual money distribution data and the network point balance data;
and optimizing the initial data of the cash dispensing proportion by using the actual demand proportion to obtain a target cash dispensing proportion matrix.
Optionally, the generating of the dispensing ratio initial data of each denomination of money of each website through the historical dispensing ratio data includes:
counting the total amount of distributed money of each denomination of money in the counting time of each network point, and generating a total amount vector of distributed money based on the total amount of distributed money;
counting to obtain the quantity sum of each denomination currency returned by each website in the counting time, and obtaining a quantity sum vector;
calculating to obtain an actual demand vector of each denomination of money of the network points in the statistical time based on the total money allocation vector and the total quantity vector;
and calculating to obtain the proportion of each denomination of currency of each website based on the actual demand vector, and calculating to obtain the initial data of the money distribution proportion of each denomination of currency of each website.
Optionally, the calculating, based on the actual money dispensing data and the balance data of the distribution points, an actual demand proportion of each denomination of each currency of each distribution point on the same day includes:
distributing the amount of the money with different denominations for each network point according to the initial data of the money distribution proportion, recording the distribution data of the current day, and generating a first matrix based on the distribution data;
counting the number of bills of each denomination returned by each website every day to obtain a second matrix;
and calculating the actual demand proportion of each denomination of each currency of each branch on the same day according to the first matrix and the second matrix.
A data processing device applied to bank note distribution at a network site comprises:
the first acquisition unit is used for acquiring a money distribution request of a network point;
the second acquisition unit is used for acquiring the money distribution time and the money balance information of the network points based on the money distribution request;
and the processing unit is used for processing the money distribution time and the money balance information through a target money distribution proportion matrix to obtain the money distribution quantity corresponding to each denomination of the money distribution of the network points, wherein the target money distribution proportion matrix is a matrix obtained by calculation by utilizing historical money distribution proportion data and balance information of money with different denominations of each network point.
Optionally, the apparatus further comprises:
and the generating unit is used for generating the initial data of the dispensing ratio of each denomination of currency of each website through historical dispensing ratio data.
Optionally, the apparatus further comprises:
the calculating unit is used for calculating and obtaining the actual demand proportion of each denomination of each currency of each network point on the day based on the actual money distribution data and the network point balance data;
and the optimization unit is used for optimizing the initial data of the cash dispensing proportion by using the actual demand proportion to obtain a target cash dispensing proportion matrix.
Optionally, the generating unit includes:
the first counting subunit is used for counting the total amount of distributed money of each denomination of money in the counting time of each network point and generating a total amount vector of distributed money based on the total amount of distributed money;
the second counting subunit is used for counting to obtain the total quantity of each denomination currency returned by each website in the counting time and obtaining a total quantity vector;
the first calculating subunit is used for calculating and obtaining an actual demand vector of each denomination of money of the network points in the counting time based on the total money allocation vector and the total quantity vector;
and the second calculating subunit is used for calculating and obtaining the proportion of each denomination of currency of each website based on the actual demand vector, and calculating and obtaining the initial data of the money distribution proportion of each denomination of currency of each website.
Optionally, the computing unit comprises:
the recording subunit is used for distributing the number of the currencies with different denominations to each network point according to the initial data of the money distribution proportion, recording the distribution data of the current day, and generating a first matrix based on the distribution data;
the third counting subunit is used for counting the number of the banknotes of each denomination returned by each website every day to obtain a second matrix;
and the third calculating subunit is used for calculating the actual demand proportion of each denomination of each currency of each website on the same day according to the first matrix and the second matrix.
Compared with the prior art, the invention provides a data processing method and device applied to the distribution of the cash of the network points, which are used for acquiring the cash distribution request of the network points; acquiring the money distribution time and the money balance information of the network points based on the money distribution request; and processing the money distribution time and the money balance information through a target money distribution proportion matrix to obtain the number of distributed money corresponding to each denomination of the money distributed by the network points, wherein the target money distribution proportion matrix is a matrix obtained by calculation by utilizing historical money distribution proportion data and balance information of money with different denominations of each network point. The method and the device realize updating of the money distribution proportion matrix according to the balance of money of different denominations of daily balance of the network points, and improve the money distribution efficiency and user experience.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic flow chart of a data processing method applied to cash dispensing at a branch point according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a data processing apparatus applied to cash dispensing at a network site according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first" and "second," and the like in the description and claims of the present invention and the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not set forth for a listed step or element but may include steps or elements not listed.
In an embodiment of the present invention, a data processing method applied to cash dispensing at a website is provided, and referring to fig. 1, the method may include the following steps:
s101, a money distribution request of a network point is obtained.
The money distribution request refers to a request provided by each network point for the existing money amount, and the embodiment of the invention can realize the automatic processing of money distribution and realize the automatic configuration of money with different denominations based on the money distribution request. The money distribution request can comprise information of a network point needing to distribute money, the money distribution time, the total amount and the like.
S102, acquiring the money distribution time and the money balance information of the network points based on the money distribution request.
S103, processing the money distribution time and the money balance information through a target money distribution proportion matrix to obtain the money distribution quantity corresponding to each denomination of the money distribution money of the network.
The target money distribution proportion matrix is calculated by utilizing historical money distribution proportion data and balance information of different denomination currencies of each website.
At present, a cash dispensing proportion of specific different denominations is not maintained for each bank branch in the process of dispensing cash for the bank branch in the cashbox, and a cash dispensing proportion matrix is not updated according to cash balances of different denominations of daily balance of the bank branch. In the embodiment of the invention, aiming at each network point, a matrix of currency proportions of different denominations of each network point in one week and one day is initialized by a statistical method through historical data to provide reference for cash distribution of a vault, then balance of currency with different denominations of each network point is counted every day, a banknote proportion matrix is continuously optimized according to the balance quantity to provide scientific cash distribution reference for the network point, namely a target cash distribution proportion matrix can be obtained through the optimization process, and the target cash distribution proportion matrix is a matrix calculated by utilizing historical cash distribution proportion data and balance information of currency with different denominations of each network point. In the practical application process, the system can be a matrix which is continuously optimized, and the bank note distribution requirements of different denominations of the network points can be met in real time.
Note that in the embodiment of the present invention, the money mainly refers to cash, and may be bills of different currencies.
The embodiment of the invention also comprises the following steps: and generating the initial data of the dispensing ratio of each denomination of currency of each network point through historical dispensing ratio data.
Specifically, the method for obtaining the initial data of the money distribution proportion according to the historical data comprises the following steps:
counting the total amount of distributed money of each denomination of money in the counting time of each network point, and generating a total amount vector of distributed money based on the total amount of distributed money;
counting to obtain the quantity sum of each denomination currency returned by each website in the counting time, and obtaining a quantity sum vector;
calculating to obtain an actual demand vector of each denomination of money of the network points in the statistical time based on the total money allocation vector and the total quantity vector;
and calculating to obtain the proportion of each denomination of currency of each website based on the actual demand vector, and calculating to obtain the initial data of the money distribution proportion of each denomination of currency of each website.
For example, a mesh point set is marked by Z, { Z1, Z2, …, Zn }, and each Zi represents a mesh point corresponding to mesh point information, where i is equal to or greater than 1 and equal to or less than n.
The method comprises the steps that the total sum of the dispensed banknotes of each denomination banknote in a statistical time (such as one month can be selected as a statistical time or a statistical period) of each website is counted as a vector B (B1, B2, … … and Bm), and the total sum of the quantity of each denomination banknote returned by each website in one month is counted as a vector A (A1, A2.
And calculating the actual demand C-A of each denomination cash of one monthly website, wherein C-A is C1, C2.. And calculating the proportion D of each cash in each dot as { C1/(C1+ C2+ … + Cm) }, C2/(C1+ C2+ … + Cm).. Cm/(C1+ C2+ … + Cm) }, { D1, D2... Dm }.
The distribution proportion of cash of each denomination of each network point can be obtained through the process, and the distribution proportion is the initial data of the cash distribution proportion:
after the initial data of the money distribution proportion of the cash of each denomination of each network point is obtained, the actual demand proportion of each denomination of money of each network point on the same day can be calculated and obtained on the basis of the actual money distribution data and the balance data of the network points; and optimizing the initial data of the cash dispensing proportion by using the actual demand proportion to obtain a target cash dispensing proportion matrix.
The method comprises the following steps of calculating and obtaining the actual demand proportion of each denomination of each currency of each website on the same day based on actual money distribution data and website balance data, wherein the actual demand proportion comprises the following steps: distributing the amount of the money with different denominations for each network point according to the initial data of the money distribution proportion, recording the distribution data of the current day, and generating a first matrix based on the distribution data; counting the number of bills of each denomination returned by each website every day to obtain a second matrix; and calculating the actual demand proportion of each denomination of each currency of each branch on the same day according to the first matrix and the second matrix.
For example, the vault distributes the number of banknotes with different denominations for each network point every day according to the distribution proportion and records the data of the day as a matrix
The quantity matrix of each denomination bill returned by each network point every day is counted as
Calculating the actual demand of cash of each denomination of the distribution point on the day:
calculating the actual demand proportion of each cash on each network point on the day:
the next day of distribution can be obtained by adding a coefficient 1/30 to the proportion of the current day and obtaining a new proportion matrix J.
The above steps are repeated every day, the cash dispensing proportion is continuously updated, scientific and accurate cash dispensing is achieved, different cash dispensing proportions are provided for different outlets by adopting a scientific method, and cash dispensing efficiency and user experience are improved.
Referring to fig. 2, in an embodiment of the present invention, there is further provided a data processing apparatus for dispensing banknotes at a network site, including:
the first acquisition unit 10 is used for acquiring a money distribution request of a network point;
a second obtaining unit 20, configured to obtain, based on the money distribution request, money distribution time and money balance information of the website;
and the processing unit 30 is configured to process the money distribution time and the money balance information through a target money distribution proportion matrix to obtain a money distribution quantity corresponding to each denomination of the money distributed by the network, where the target money distribution proportion matrix is a matrix calculated by using historical money distribution proportion data and balance information of money with different denominations of each network.
On the basis of the above embodiment, the apparatus further includes:
and the generating unit is used for generating the initial data of the dispensing ratio of each denomination of currency of each website through historical dispensing ratio data.
On the basis of the above embodiment, the apparatus further includes:
the calculating unit is used for calculating and obtaining the actual demand proportion of each denomination of each currency of each network point on the day based on the actual money distribution data and the network point balance data;
and the optimization unit is used for optimizing the initial data of the cash dispensing proportion by using the actual demand proportion to obtain a target cash dispensing proportion matrix.
On the basis of the above embodiment, the generating unit includes:
the first counting subunit is used for counting the total amount of distributed money of each denomination of money in the counting time of each network point and generating a total amount vector of distributed money based on the total amount of distributed money;
the second counting subunit is used for counting to obtain the total quantity of each denomination currency returned by each website in the counting time and obtaining a total quantity vector;
the first calculating subunit is used for calculating and obtaining an actual demand vector of each denomination of money of the network points in the counting time based on the total money allocation vector and the total quantity vector;
and the second calculating subunit is used for calculating and obtaining the proportion of each denomination of currency of each website based on the actual demand vector, and calculating and obtaining the initial data of the money distribution proportion of each denomination of currency of each website.
On the basis of the above embodiment, the calculation unit includes:
the recording subunit is used for distributing the number of the currencies with different denominations to each network point according to the initial data of the money distribution proportion, recording the distribution data of the current day, and generating a first matrix based on the distribution data;
the third counting subunit is used for counting the number of the banknotes of each denomination returned by each website every day to obtain a second matrix;
and the third calculating subunit is used for calculating the actual demand proportion of each denomination of each currency of each website on the same day according to the first matrix and the second matrix.
The invention provides a data processing device applied to distribution of bank notes at a network site, wherein a first acquisition unit acquires a bank note distribution request of the network site; the second acquisition unit acquires the money distribution time and the money balance information of the network points based on the money distribution request; and the processing unit processes the money distribution time and the money balance information through a target money distribution proportion matrix to obtain the money distribution quantity corresponding to each denomination of the money distribution of the network points, wherein the target money distribution proportion matrix is a matrix obtained by calculation by utilizing historical money distribution proportion data and balance information of different denominations of money of each network point. The method and the device realize updating of the money distribution proportion matrix according to the balance of money of different denominations of daily balance of the network points, and improve the money distribution efficiency and user experience.
It should be noted that, for the working processes of each module, sub-module, and unit in this embodiment, reference is made to the corresponding description in the above embodiments, and details are not repeated here.
The embodiment of the invention provides a storage medium, wherein a program is stored on the storage medium, and the program realizes the data processing method applied to the bank note distribution of the network points when being executed by a processor.
An embodiment of the present invention provides an electronic device, including: a memory and a processor;
wherein the memory is used for storing programs;
the processor calls a program and is used to:
acquiring a bank note distribution request of a network point;
acquiring the money distribution time and the money balance information of the network points based on the money distribution request;
and processing the money distribution time and the money balance information through a target money distribution proportion matrix to obtain the number of distributed money corresponding to each denomination of the money distributed by the network points, wherein the target money distribution proportion matrix is a matrix obtained by calculation by utilizing historical money distribution proportion data and balance information of money with different denominations of each network point.
Optionally, the method further comprises:
and generating the initial data of the dispensing ratio of each denomination of currency of each network point through historical dispensing ratio data.
Optionally, the method further comprises:
calculating to obtain the actual demand proportion of each denomination of each currency of each network point on the same day based on the actual money distribution data and the network point balance data;
and optimizing the initial data of the cash dispensing proportion by using the actual demand proportion to obtain a target cash dispensing proportion matrix.
Optionally, the generating of the dispensing ratio initial data of each denomination of money of each website through the historical dispensing ratio data includes:
counting the total amount of distributed money of each denomination of money in the counting time of each network point, and generating a total amount vector of distributed money based on the total amount of distributed money;
counting to obtain the quantity sum of each denomination currency returned by each website in the counting time, and obtaining a quantity sum vector;
calculating to obtain an actual demand vector of each denomination of money of the network points in the statistical time based on the total money allocation vector and the total quantity vector;
and calculating to obtain the proportion of each denomination of currency of each website based on the actual demand vector, and calculating to obtain the initial data of the money distribution proportion of each denomination of currency of each website.
Optionally, the calculating, based on the actual money dispensing data and the balance data of the distribution points, an actual demand proportion of each denomination of each currency of each distribution point on the same day includes:
distributing the amount of the money with different denominations for each network point according to the initial data of the money distribution proportion, recording the distribution data of the current day, and generating a first matrix based on the distribution data;
counting the number of bills of each denomination returned by each website every day to obtain a second matrix;
and calculating the actual demand proportion of each denomination of each currency of each branch on the same day according to the first matrix and the second matrix.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include transitory computer readable media (transmyedia) such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A data processing method applied to money distribution of a network point is characterized by comprising the following steps:
acquiring a bank note distribution request of a network point;
acquiring the money distribution time and the money balance information of the network points based on the money distribution request;
and processing the money distribution time and the money balance information through a target money distribution proportion matrix to obtain the number of distributed money corresponding to each denomination of the money distributed by the network points, wherein the target money distribution proportion matrix is a matrix obtained by calculation by utilizing historical money distribution proportion data and balance information of money with different denominations of each network point.
2. The method of claim 1, further comprising:
and generating the initial data of the dispensing ratio of each denomination of currency of each network point through historical dispensing ratio data.
3. The method of claim 2, further comprising:
calculating to obtain the actual demand proportion of each denomination of each currency of each network point on the same day based on the actual money distribution data and the network point balance data;
and optimizing the initial data of the cash dispensing proportion by using the actual demand proportion to obtain a target cash dispensing proportion matrix.
4. The method of claim 2, wherein generating the initial dispensing proportion data for each denomination of currency for each outlet from the historical dispensing proportion data comprises:
counting the total amount of distributed money of each denomination of money in the counting time of each network point, and generating a total amount vector of distributed money based on the total amount of distributed money;
counting to obtain the quantity sum of each denomination currency returned by each website in the counting time, and obtaining a quantity sum vector;
calculating to obtain an actual demand vector of each denomination of money of the network points in the statistical time based on the total money allocation vector and the total quantity vector;
and calculating to obtain the proportion of each denomination of currency of each website based on the actual demand vector, and calculating to obtain the initial data of the money distribution proportion of each denomination of currency of each website.
5. The method of claim 3, wherein calculating the actual demand proportion of each denomination of each currency on the day of each network point based on the actual cash dispensing data and the network point balance data comprises:
distributing the amount of the money with different denominations for each network point according to the initial data of the money distribution proportion, recording the distribution data of the current day, and generating a first matrix based on the distribution data;
counting the number of bills of each denomination returned by each website every day to obtain a second matrix;
and calculating the actual demand proportion of each denomination of each currency of each branch on the same day according to the first matrix and the second matrix.
6. A data processing device applied to money distribution of network points is characterized by comprising:
the first acquisition unit is used for acquiring a money distribution request of a network point;
the second acquisition unit is used for acquiring the money distribution time and the money balance information of the network points based on the money distribution request;
and the processing unit is used for processing the money distribution time and the money balance information through a target money distribution proportion matrix to obtain the money distribution quantity corresponding to each denomination of the money distribution of the network points, wherein the target money distribution proportion matrix is a matrix obtained by calculation by utilizing historical money distribution proportion data and balance information of money with different denominations of each network point.
7. The method of claim 6, wherein the apparatus further comprises:
and the generating unit is used for generating the initial data of the dispensing ratio of each denomination of currency of each website through historical dispensing ratio data.
8. The apparatus of claim 7, further comprising:
the calculating unit is used for calculating and obtaining the actual demand proportion of each denomination of each currency of each network point on the day based on the actual money distribution data and the network point balance data;
and the optimization unit is used for optimizing the initial data of the cash dispensing proportion by using the actual demand proportion to obtain a target cash dispensing proportion matrix.
9. The apparatus of claim 7, wherein the generating unit comprises:
the first counting subunit is used for counting the total amount of distributed money of each denomination of money in the counting time of each network point and generating a total amount vector of distributed money based on the total amount of distributed money;
the second counting subunit is used for counting to obtain the total quantity of each denomination currency returned by each website in the counting time and obtaining a total quantity vector;
the first calculating subunit is used for calculating and obtaining an actual demand vector of each denomination of money of the network points in the counting time based on the total money allocation vector and the total quantity vector;
and the second calculating subunit is used for calculating and obtaining the proportion of each denomination of currency of each website based on the actual demand vector, and calculating and obtaining the initial data of the money distribution proportion of each denomination of currency of each website.
10. The apparatus of claim 8, wherein the computing unit comprises:
the recording subunit is used for distributing the number of the currencies with different denominations to each network point according to the initial data of the money distribution proportion, recording the distribution data of the current day, and generating a first matrix based on the distribution data;
the third counting subunit is used for counting the number of the banknotes of each denomination returned by each website every day to obtain a second matrix;
and the third calculating subunit is used for calculating the actual demand proportion of each denomination of each currency of each website on the same day according to the first matrix and the second matrix.
Priority Applications (1)
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| CN112837000A (en) * | 2021-03-30 | 2021-05-25 | 中国工商银行股份有限公司 | Banknote distribution auxiliary method and device |
| CN115115103A (en) * | 2022-06-22 | 2022-09-27 | 中国银行股份有限公司 | Money distributor scheduling method and device |
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| CN109118641A (en) * | 2018-07-09 | 2019-01-01 | 北京磁云唐泉金服科技有限公司 | Accurate bank note distribution method and device based on serial number |
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| CN110570135A (en) * | 2019-09-19 | 2019-12-13 | 中国银行股份有限公司 | method and device for distributing bank notes at network points |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112053229B (en) | 2023-09-19 |
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