CN113313874A - Cash counting method and device - Google Patents
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- CN113313874A CN113313874A CN202110584619.1A CN202110584619A CN113313874A CN 113313874 A CN113313874 A CN 113313874A CN 202110584619 A CN202110584619 A CN 202110584619A CN 113313874 A CN113313874 A CN 113313874A
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Abstract
The invention provides a cash counting method and a device, which are characterized in that a cash flow graph among cash nodes of a network is constructed, cash flow information of each cash node is input into a pre-constructed prediction model of the number of the crown word to be recorded respectively to obtain the number of the crown word to be recorded of each cash node, and the number of the crown word to be recorded of the corresponding cash node is recorded under the condition that the number of the crown word to be recorded is greater than a preset value, so that the recording of the number of the crown word of each cash node is avoided during each cash counting, and the cash counting efficiency is effectively improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a cash counting method and a cash counting device.
Background
A large amount of cash is circulated by a bank outlet every day, the cash is checked after the outlet is closed, and the serial number of the cash is generally recorded when the cash is checked.
At present, cash circulating at each circulation node of a network point, such as a self-service deposit and withdrawal machine, a counter and the like, needs to be checked, and the cash checking efficiency is low.
Disclosure of Invention
In view of this, the present invention provides a cash counting method and device, which are used for intelligently counting cash based on a cash flow chart and improving the cash counting efficiency.
In order to achieve the above purpose, the invention provides the following specific technical scheme:
a cash counting method, comprising:
in response to the cash counting instruction, cash circulation information of each cash node in a cash circulation graph among cash nodes of a pre-constructed network is acquired;
the currency circulation information of each currency node is respectively input into a pre-constructed prediction model of the number of the serial numbers to be recorded, so that the number of the serial numbers to be recorded of each currency node is obtained;
and recording the crown number to be recorded of the corresponding cash node under the condition that the number of the crown number to be recorded is larger than a preset value.
Optionally, the cash node of the network node includes: automated teller machines, vaults, counters, and customers.
Optionally, constructing the cash flow chart comprises:
acquiring each cash node in a network;
according to the cash circulation direction and the amount of money between cash nodes in a network, the cash circulation graph is constructed, the directed edges between the cash nodes represent the cash circulation direction, and the cash circulation information corresponding to the directed edges comprises: the total amount of the cash flows to and the recorded serial number is counted.
Optionally, constructing the to-be-recorded crown number prediction model includes:
acquiring the number of the cash, the number of the recorded crown-word numbers, the number of the cash flowing out to other cash nodes and the number of the recorded crown-word numbers, the number of the cash flowing in to the cash node by other cash nodes and the number of the recorded crown-word numbers when the cash at each cash node is checked at the last time in a preset historical period;
marking the number of crown words to be recorded by each node for counting the cash each time by using a preset method to obtain a training set;
and fitting the training set by using a linear regression algorithm to obtain a prediction model of the number of the crown words to be recorded, wherein the prediction model represents the relationship between the currency circulation information of the currency nodes and the number of the crown words to be recorded.
Optionally, after recording the to-be-recorded crown word number of the corresponding cash node, the method further includes:
and updating the cash flow chart according to the number of the serial numbers recorded in the counting.
A cash counting device comprising:
the cash flow information acquisition unit is used for responding to a cash counting instruction and acquiring cash flow information of each cash node in a cash flow graph among cash nodes of a pre-constructed network;
the prediction unit of the number of the crown words to be recorded is used for respectively inputting the currency circulation information of each currency node into a pre-constructed prediction model of the number of the crown words to be recorded so as to obtain the number of the crown words to be recorded of each currency node;
and the serial number recording unit is used for recording the serial numbers to be recorded of the corresponding cash nodes under the condition that the serial numbers to be recorded are larger than a preset value.
Optionally, the cash node of the network node includes: automated teller machines, vaults, counters, and customers.
Optionally, the apparatus further includes a cash flow chart construction unit, specifically configured to:
acquiring each cash node in a network;
according to the cash circulation direction and the amount of money between cash nodes in a network, the cash circulation graph is constructed, the directed edges between the cash nodes represent the cash circulation direction, and the cash circulation information corresponding to the directed edges comprises: the total amount of the cash flows to and the recorded serial number is counted.
Optionally, the apparatus further includes a prediction model construction unit, specifically configured to:
acquiring the number of the cash, the number of the recorded crown-word numbers, the number of the cash flowing out to other cash nodes and the number of the recorded crown-word numbers, the number of the cash flowing in to the cash node by other cash nodes and the number of the recorded crown-word numbers when the cash at each cash node is checked at the last time in a preset historical period;
marking the number of crown words to be recorded by each node for counting the cash each time by using a preset method to obtain a training set;
and fitting the training set by using a linear regression algorithm to obtain a prediction model of the number of the crown words to be recorded, wherein the prediction model represents the relationship between the currency circulation information of the currency nodes and the number of the crown words to be recorded.
Optionally, the apparatus further comprises:
and the cash flow chart updating unit is used for updating the cash flow chart according to the number of the crown words recorded by counting after the crown words to be recorded of the corresponding cash nodes are recorded.
Compared with the prior art, the invention has the following beneficial effects:
the invention discloses a cash counting method, which comprises the steps of constructing cash circulation graphs among cash nodes of a network point, inputting cash circulation information of each cash node into a pre-constructed prediction model of the number of the crown word to be recorded to obtain the number of the crown word to be recorded of each cash node, recording the number of the crown word to be recorded of the corresponding cash node under the condition that the number of the crown word to be recorded is greater than a preset value, avoiding recording the number of the crown word of each cash node during each cash counting, and effectively improving the cash counting efficiency.
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 cash counting method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of cash flow according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a method for constructing a currency flow chart according to an embodiment of the present invention;
fig. 4 is a schematic flowchart of a method for constructing a prediction model of a serial number to be recorded according to an embodiment of the present invention;
fig. 5 is a schematic flow chart illustrating another cash counting method according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a cash counting device 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 inventor finds out through research that: at present, the bank outlets need to record the cash crown-word numbers of cash circulated by each cash node after business is finished every day, for example, cash with a certain amount flows from a cashbox to a counter, all the cash flows to the cashbox after the business is finished by the counter, a large amount of cash with repeated crown-word numbers possibly exists between the cashbox and the counter, if the crown-word numbers of the circulated cash are recorded in the cashbox and the counter, the repeated recording of the same crown-word number is caused, in addition, if the number of the cash flowing to a certain client by a self-service cash recycling machine is small, and if the crown-word numbers are also recorded, the counting efficiency of the outlets is reduced.
In order to solve the technical problem, the invention provides a cash counting method, which comprises the steps of constructing cash flow graphs among cash nodes of a network, inputting cash flow information of each cash node into a pre-constructed prediction model of the number of the crown words to be recorded to obtain the number of the crown words to be recorded of each cash node, recording the number of the crown words to be recorded of the corresponding cash node under the condition that the number of the crown words to be recorded is greater than a preset value, avoiding recording the number of the crown words of each cash node during each cash counting, and effectively improving the cash counting efficiency.
Specifically, referring to fig. 1, the present embodiment discloses a cash counting method, which specifically includes the following steps:
s101: in response to the cash counting instruction, cash circulation information of each cash node in a cash circulation graph among cash nodes of a pre-constructed network is acquired;
it should be noted that the cash counting command may be triggered manually, such as manually inputting the cash counting command, or may be triggered automatically at a preset time, such as automatically triggering the cash counting command at a certain time after the banking outlet finishes the business.
The bank outlets are bank outlets, and the cash counting method disclosed by the embodiment can be applied to the cash counting of any bank outlet.
The cash node of the network comprises: automated teller machines, vaults, counters, and customers.
Fig. 2 is a schematic diagram of cash flow among cash nodes of a network, where the cash nodes include at least one automatic teller machine, at least one cash register, and at least one customer, and in fig. 2, customer 1, customer 2, customer 3, and customer N are illustrated only by way of example.
In the cash flow diagram, the directed edge between two cash nodes represents the cash flow direction, for example, in fig. 2, cash in a cash bank flows to an automatic teller machine and a counter respectively, cash in the automatic teller machine flows to a client 2, cash in a client 1 flows to the automatic teller machine, cash in a client 3 flows to the counter, cash in the counter flows to a client N, cash flow information (a1, a2) corresponding to the directed edge between every two cash nodes in the cash flow diagram is represented by a1, and a2 represents the recorded crown-word number of counting.
Referring to fig. 3, the present embodiment provides a method for constructing a currency flow chart, which specifically includes the following steps:
s201: acquiring each cash node in a network;
the method comprises the steps of obtaining a vault in a website, all depositing and withdrawing machines, all counters in business and all depositing and withdrawing clients.
S202: according to the cash circulation direction and the amount of money between cash nodes in a network, a cash circulation diagram is constructed, the directed edges between the cash nodes represent the cash circulation direction, and the cash circulation information corresponding to the directed edges comprises: the total amount of the cash flows to and the recorded serial number is counted.
It can be understood that the cash flow diagram is a directed diagram, and directed edges indicate cash flow directions.
S102: the currency circulation information of each currency node is respectively input into a pre-constructed prediction model of the number of the serial numbers to be recorded, so that the number of the serial numbers to be recorded of each currency node is obtained;
it should be noted that the input data of the prediction model of the number of crown words to be recorded is cash circulation information of the cash node, including the total amount of cash flowing to the cash node and the counted number of the recorded crown words, and since the total amount of cash flowing to the cash is specifically divided into the cash outflow number to other cash nodes and the cash inflow number to the cash node by other cash nodes, the input data of the prediction model of the number of crown words to be recorded specifically includes: the number of the cash, the number of the recorded serial numbers, the number of the cash flowing out to other cash nodes and the number of the recorded serial numbers, the number of the cash flowing in to the cash node and the number of the recorded serial numbers of other cash nodes, and the output data of the prediction model of the number of the serial numbers to be recorded is the number of the serial numbers to be recorded.
Referring to fig. 4, the present embodiment discloses a method for constructing a model for predicting the number of crown words to be recorded, which specifically includes the following steps:
s301: acquiring the number of the cash, the number of the recorded crown-word numbers, the number of the cash flowing out to other cash nodes and the number of the recorded crown-word numbers, the number of the cash flowing in to the cash node by other cash nodes and the number of the recorded crown-word numbers when the cash at each cash node is checked at the last time in a preset historical period;
it can be understood that the data in the preset history period closest to the current date is most similar to the cash flow rule of the current date, and preferably, the data in the preset history period closest to the current date is selected as the basic data of the training set to construct the crown number prediction model to be recorded.
S302: marking the number of crown words to be recorded by each node for counting the cash each time by using a preset method to obtain a training set;
the preset method can be used for marking that the serial number of each node is required to be recorded by each cash counting by utilizing an expert system, or can be used for marking that the serial number of each node is required to be recorded by each cash counting by utilizing a manual marking method.
S303: and fitting the training set by using a linear regression algorithm to obtain a prediction model of the number of the crown words to be recorded, wherein the prediction model represents the relationship between the currency circulation information of the currency nodes and the number of the crown words to be recorded.
Specifically, a linear regression algorithm is used for fitting the training set, the number of the cash, the number of the recorded crown-word numbers, the number of the cash flowing out to other cash nodes and the number of the recorded crown-word numbers, and the number of the cash flowing in to the cash node and the number of the recorded crown-word numbers of other cash nodes are used as variables, the coefficient of each variable can be obtained by using a least square method, and finally the prediction model of the number of the crown-word numbers to be recorded, which represents the relationship between the cash flowing information of the cash nodes and the number of the crown-word to be recorded, is obtained.
S103: and recording the crown number to be recorded of the corresponding cash node under the condition that the number of the crown number to be recorded is larger than a preset value.
The crown word number to be recorded can be identified in advance by utilizing any existing crown word number identification method.
It can be seen that in the cash counting method disclosed in this embodiment, a cash flow graph between cash nodes of a network is constructed, then cash flow information of each cash node is respectively input into a pre-constructed prediction model of the number of the crown word to be recorded, so as to obtain the number of the crown word to be recorded of each cash node, and when the number of the crown word to be recorded is greater than a preset value, the number of the crown word to be recorded of the corresponding cash node is recorded, so that the recording of the number of the crown word of each cash node is avoided during each cash counting, and the cash counting efficiency is effectively improved.
Further, in order to ensure the validity and real-time performance of the cash flow chart, the cash flow chart is updated according to the counting result after each counting. On the basis, please refer to fig. 5, this embodiment discloses another cash counting method, which specifically includes the following steps:
s401: in response to the cash counting instruction, cash circulation information of each cash node in a cash circulation graph among cash nodes of a pre-constructed network is acquired;
s402: the currency circulation information of each currency node is respectively input into a pre-constructed prediction model of the number of the serial numbers to be recorded, so that the number of the serial numbers to be recorded of each currency node is obtained;
s403: recording the crown word number to be recorded of the corresponding cash node under the condition that the number of the crown word number to be recorded is larger than a preset value;
s404: and updating the cash flow chart according to the number of the serial numbers recorded in the counting.
It can be seen that in the cash counting method disclosed in this embodiment, a cash flow graph between cash nodes of a network is constructed, then cash flow information of each cash node is respectively input into a pre-constructed prediction model of the number of the crown word to be recorded, so as to obtain the number of the crown word to be recorded of each cash node, and when the number of the crown word to be recorded is greater than a preset value, the number of the crown word to be recorded of the corresponding cash node is recorded, so that the recording of the number of the crown word of each cash node is avoided during each cash counting, and the cash counting efficiency is effectively improved.
Based on the cash counting method disclosed in the above embodiments, the present embodiment correspondingly discloses a cash counting device, please refer to fig. 6, and the device includes:
the cash flow information acquisition unit 100 is configured to acquire cash flow information of each cash node in a cash flow graph among cash nodes of a pre-constructed network in response to a cash counting instruction;
the prediction unit 200 for the number of the serial numbers to be recorded is used for respectively inputting the cash circulation information of each cash node into a pre-constructed prediction model for the number of the serial numbers to be recorded, so as to obtain the number of the serial numbers to be recorded of each cash node;
and the serial number recording unit 300 is used for recording the serial number to be recorded of the corresponding cash node under the condition that the number of the serial numbers to be recorded is greater than a preset value.
Optionally, the cash node of the network node includes: automated teller machines, vaults, counters, and customers.
Optionally, the apparatus further includes a cash flow chart construction unit, specifically configured to:
acquiring each cash node in a network;
according to the cash circulation direction and the amount of money between cash nodes in a network, the cash circulation graph is constructed, the directed edges between the cash nodes represent the cash circulation direction, and the cash circulation information corresponding to the directed edges comprises: the total amount of the cash flows to and the recorded serial number is counted.
Optionally, the apparatus further includes a prediction model construction unit, specifically configured to:
acquiring the number of the cash, the number of the recorded crown-word numbers, the number of the cash flowing out to other cash nodes and the number of the recorded crown-word numbers, the number of the cash flowing in to the cash node by other cash nodes and the number of the recorded crown-word numbers when the cash at each cash node is checked at the last time in a preset historical period;
marking the number of crown words to be recorded by each node for counting the cash each time by using a preset method to obtain a training set;
and fitting the training set by using a linear regression algorithm to obtain a prediction model of the number of the crown words to be recorded, wherein the prediction model represents the relationship between the currency circulation information of the currency nodes and the number of the crown words to be recorded.
Optionally, the apparatus further comprises:
and the cash flow chart updating unit is used for updating the cash flow chart according to the number of the crown words recorded by counting after the crown words to be recorded of the corresponding cash nodes are recorded.
The cash counting device disclosed by the embodiment is characterized in that a cash flow graph among cash nodes of a network is constructed, cash flow information of each cash node is input into a pre-constructed prediction model of the number of the crown words to be recorded respectively to obtain the number of the crown words to be recorded of each cash node, and the number of the crown words to be recorded of the corresponding cash node is recorded under the condition that the number of the crown words to be recorded is greater than a preset value, so that the recording of the crown word number of each cash node is avoided during each cash counting, and the cash counting efficiency is effectively improved.
The embodiment also discloses a cash counting device, which comprises a memory and a processor:
the memory is to store program instructions;
the processor is used for executing the following cash counting method according to the program stored in the memory:
in response to the cash counting instruction, cash circulation information of each cash node in a cash circulation graph among cash nodes of a pre-constructed network is acquired;
the currency circulation information of each currency node is respectively input into a pre-constructed prediction model of the number of the serial numbers to be recorded, so that the number of the serial numbers to be recorded of each currency node is obtained;
and recording the crown number to be recorded of the corresponding cash node under the condition that the number of the crown number to be recorded is larger than a preset value.
Further, the cash node of the network comprises: automated teller machines, vaults, counters, and customers.
Further, constructing the cash flow chart comprises:
acquiring each cash node in a network;
according to the cash circulation direction and the amount of money between cash nodes in a network, the cash circulation graph is constructed, the directed edges between the cash nodes represent the cash circulation direction, and the cash circulation information corresponding to the directed edges comprises: the total amount of the cash flows to and the recorded serial number is counted.
Further, constructing the prediction model of the number of the crown words to be recorded comprises:
acquiring the number of the cash, the number of the recorded crown-word numbers, the number of the cash flowing out to other cash nodes and the number of the recorded crown-word numbers, the number of the cash flowing in to the cash node by other cash nodes and the number of the recorded crown-word numbers when the cash at each cash node is checked at the last time in a preset historical period;
marking the number of crown words to be recorded by each node for counting the cash each time by using a preset method to obtain a training set;
and fitting the training set by using a linear regression algorithm to obtain a prediction model of the number of the crown words to be recorded, wherein the prediction model represents the relationship between the currency circulation information of the currency nodes and the number of the crown words to be recorded.
Further, after recording the to-be-recorded crown word number of the corresponding cash node, the method further comprises the following steps:
and updating the cash flow chart according to the number of the serial numbers recorded in the counting.
The present embodiment also discloses a storage medium having a computer program stored thereon, which when executed by a processor implements a cash counting method as follows:
in response to the cash counting instruction, cash circulation information of each cash node in a cash circulation graph among cash nodes of a pre-constructed network is acquired;
the currency circulation information of each currency node is respectively input into a pre-constructed prediction model of the number of the serial numbers to be recorded, so that the number of the serial numbers to be recorded of each currency node is obtained;
and recording the crown number to be recorded of the corresponding cash node under the condition that the number of the crown number to be recorded is larger than a preset value.
Further, the cash node of the network comprises: automated teller machines, vaults, counters, and customers.
Further, constructing the cash flow chart comprises:
acquiring each cash node in a network;
according to the cash circulation direction and the amount of money between cash nodes in a network, the cash circulation graph is constructed, the directed edges between the cash nodes represent the cash circulation direction, and the cash circulation information corresponding to the directed edges comprises: the total amount of the cash flows to and the recorded serial number is counted.
Further, constructing the prediction model of the number of the crown words to be recorded comprises:
acquiring the number of the cash, the number of the recorded crown-word numbers, the number of the cash flowing out to other cash nodes and the number of the recorded crown-word numbers, the number of the cash flowing in to the cash node by other cash nodes and the number of the recorded crown-word numbers when the cash at each cash node is checked at the last time in a preset historical period;
marking the number of crown words to be recorded by each node for counting the cash each time by using a preset method to obtain a training set;
and fitting the training set by using a linear regression algorithm to obtain a prediction model of the number of the crown words to be recorded, wherein the prediction model represents the relationship between the currency circulation information of the currency nodes and the number of the crown words to be recorded.
Further, after recording the to-be-recorded crown word number of the corresponding cash node, the method further comprises the following steps:
and updating the cash flow chart according to the number of the serial numbers recorded in the counting.
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.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions 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.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
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, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
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 embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 a process, method, article, or apparatus that comprises the element.
The above embodiments can be combined arbitrarily, and the features described in the embodiments in the present specification can be replaced or combined with each other in the above description of the disclosed embodiments, so that those skilled in the art can implement or use the present application.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A cash counting method, comprising:
in response to the cash counting instruction, cash circulation information of each cash node in a cash circulation graph among cash nodes of a pre-constructed network is acquired;
the currency circulation information of each currency node is respectively input into a pre-constructed prediction model of the number of the serial numbers to be recorded, so that the number of the serial numbers to be recorded of each currency node is obtained;
and recording the crown number to be recorded of the corresponding cash node under the condition that the number of the crown number to be recorded is larger than a preset value.
2. The method of claim 1, wherein the cash node of a mesh point comprises: automated teller machines, vaults, counters, and customers.
3. The method of claim 2, wherein constructing the currency flow graph comprises:
acquiring each cash node in a network;
according to the cash circulation direction and the amount of money between cash nodes in a network, the cash circulation graph is constructed, the directed edges between the cash nodes represent the cash circulation direction, and the cash circulation information corresponding to the directed edges comprises: the total amount of the cash flows to and the recorded serial number is counted.
4. The method of claim 1, wherein constructing the to-be-recorded crown number prediction model comprises:
acquiring the number of the cash, the number of the recorded crown-word numbers, the number of the cash flowing out to other cash nodes and the number of the recorded crown-word numbers, the number of the cash flowing in to the cash node by other cash nodes and the number of the recorded crown-word numbers when the cash at each cash node is checked at the last time in a preset historical period;
marking the number of crown words to be recorded by each node for counting the cash each time by using a preset method to obtain a training set;
and fitting the training set by using a linear regression algorithm to obtain a prediction model of the number of the crown words to be recorded, wherein the prediction model represents the relationship between the currency circulation information of the currency nodes and the number of the crown words to be recorded.
5. The method of claim 1, wherein after recording the to-be-recorded crown-word number of the corresponding cash node, the method further comprises:
and updating the cash flow chart according to the number of the serial numbers recorded in the counting.
6. A cash counting device, comprising:
the cash flow information acquisition unit is used for responding to a cash counting instruction and acquiring cash flow information of each cash node in a cash flow graph among cash nodes of a pre-constructed network;
the prediction unit of the number of the crown words to be recorded is used for respectively inputting the currency circulation information of each currency node into a pre-constructed prediction model of the number of the crown words to be recorded so as to obtain the number of the crown words to be recorded of each currency node;
and the serial number recording unit is used for recording the serial numbers to be recorded of the corresponding cash nodes under the condition that the serial numbers to be recorded are larger than a preset value.
7. The apparatus of claim 6, wherein the cash node of a mesh point comprises: automated teller machines, vaults, counters, and customers.
8. The apparatus according to claim 7, further comprising a cash flow graph construction unit, in particular for:
acquiring each cash node in a network;
according to the cash circulation direction and the amount of money between cash nodes in a network, the cash circulation graph is constructed, the directed edges between the cash nodes represent the cash circulation direction, and the cash circulation information corresponding to the directed edges comprises: the total amount of the cash flows to and the recorded serial number is counted.
9. The apparatus according to claim 6, further comprising a prediction model construction unit, in particular for:
acquiring the number of the cash, the number of the recorded crown-word numbers, the number of the cash flowing out to other cash nodes and the number of the recorded crown-word numbers, the number of the cash flowing in to the cash node by other cash nodes and the number of the recorded crown-word numbers when the cash at each cash node is checked at the last time in a preset historical period;
marking the number of crown words to be recorded by each node for counting the cash each time by using a preset method to obtain a training set;
and fitting the training set by using a linear regression algorithm to obtain a prediction model of the number of the crown words to be recorded, wherein the prediction model represents the relationship between the currency circulation information of the currency nodes and the number of the crown words to be recorded.
10. The apparatus of claim 6, further comprising:
and the cash flow chart updating unit is used for updating the cash flow chart according to the number of the crown words recorded by counting after the crown words to be recorded of the corresponding cash nodes are recorded.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115273319A (en) * | 2022-05-19 | 2022-11-01 | 中国银行股份有限公司 | Cash counting method and device and cash counting equipment |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103177128A (en) * | 2013-04-19 | 2013-06-26 | 中国建设银行股份有限公司 | Method and system for processing bill crown word number information |
| WO2015141076A1 (en) * | 2014-03-20 | 2015-09-24 | 沖電気工業株式会社 | Cash management system and cash handling device |
| CN105608806A (en) * | 2014-11-17 | 2016-05-25 | 冲电气工业株式会社 | Information processing device |
| CN106920321A (en) * | 2017-01-19 | 2017-07-04 | 浙江维融电子科技股份有限公司 | A kind of serial number data staging reporting system |
| CN107038795A (en) * | 2016-02-04 | 2017-08-11 | 日立欧姆龙金融系统有限公司 | Cash reconciliation system and cash account checking method |
| CN107168973A (en) * | 2016-03-08 | 2017-09-15 | 山东新北洋信息技术股份有限公司 | A kind of paper money number information processing method, apparatus and system |
| CN107563754A (en) * | 2017-08-17 | 2018-01-09 | 杭州云象网络技术有限公司 | A kind of storage of serial number information and verification method based on block chain |
| CN109191126A (en) * | 2018-09-10 | 2019-01-11 | 南京荣链科技有限公司 | A kind of cash inter-bank circulation method, terminal and medium based on block chain |
-
2021
- 2021-05-27 CN CN202110584619.1A patent/CN113313874B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103177128A (en) * | 2013-04-19 | 2013-06-26 | 中国建设银行股份有限公司 | Method and system for processing bill crown word number information |
| WO2015141076A1 (en) * | 2014-03-20 | 2015-09-24 | 沖電気工業株式会社 | Cash management system and cash handling device |
| CN105608806A (en) * | 2014-11-17 | 2016-05-25 | 冲电气工业株式会社 | Information processing device |
| CN107038795A (en) * | 2016-02-04 | 2017-08-11 | 日立欧姆龙金融系统有限公司 | Cash reconciliation system and cash account checking method |
| CN107168973A (en) * | 2016-03-08 | 2017-09-15 | 山东新北洋信息技术股份有限公司 | A kind of paper money number information processing method, apparatus and system |
| CN106920321A (en) * | 2017-01-19 | 2017-07-04 | 浙江维融电子科技股份有限公司 | A kind of serial number data staging reporting system |
| CN107563754A (en) * | 2017-08-17 | 2018-01-09 | 杭州云象网络技术有限公司 | A kind of storage of serial number information and verification method based on block chain |
| CN109191126A (en) * | 2018-09-10 | 2019-01-11 | 南京荣链科技有限公司 | A kind of cash inter-bank circulation method, terminal and medium based on block chain |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115273319A (en) * | 2022-05-19 | 2022-11-01 | 中国银行股份有限公司 | Cash counting method and device and cash counting equipment |
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