CN110335133B - Transaction data processing method, system, electronic equipment and storage medium - Google Patents
Transaction data processing method, system, electronic equipment and storage medium Download PDFInfo
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- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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Abstract
The present disclosure provides a transaction data processing method, including: receiving a plurality of transaction requests within a preset time period; determining transaction data generated by a plurality of transaction operations based on the plurality of transaction requests, the transaction data including at least one sales tax amount and at least one inlet tax amount; and calculating and outputting the added tax amount within the preset time period based on the at least one sales tax amount and the at least one inlet tax amount. Determining transaction data generated by a plurality of transaction operations includes performing, for each transaction operation, the following processing operations: in response to receiving transaction sub-data generated by the transaction operation, determining a transaction type of the transaction operation, the transaction type including a sales tax transaction and an inlet tax transaction; calculating the sales tax amount generated by the transaction operation based on the transaction sub-data under the condition that the transaction type is sales tax transaction; and determining an entry tax amount generated by the transaction operation based on the transaction sub-data in the case that the transaction data is the entry tax transaction data.
Description
Technical Field
The present disclosure relates to the field of internet technologies, and in particular, to a method, a system, an electronic device, and a storage medium for processing transaction data.
Background
The value-added tax calculation method is complex, especially for enterprises with large service scale, high amount, frequent transaction and various transaction types and forms, such as commercial banks.
In implementing the concepts of the present disclosure, the inventors found that at least the following problems exist in the prior art: the efficiency of manual calculation of the value-added tax is low, and the service of enterprises to clients is affected.
Disclosure of Invention
In view of this, the present disclosure provides a transaction data processing method, system, electronic device and storage medium.
One aspect of the present disclosure provides a method of processing transaction data performed by an electronic device, including: receiving a plurality of transaction requests within a preset time period, wherein each transaction request is generated according to a transaction operation performed by a user on a terminal device; determining transaction data generated by a plurality of transaction operations based on the plurality of transaction requests, wherein the transaction data includes at least one sales tax amount and at least one inlet tax amount; and calculating and outputting the added tax amount within the preset time period based on the at least one sales tax amount and the at least one inlet tax amount. Wherein determining transaction data generated by the plurality of transaction operations based on the plurality of transaction requests includes performing, for each transaction operation, the following processing operations: in response to receiving transaction sub-data generated by the transaction operation, determining a transaction type of the transaction operation, the transaction type including a sales tax transaction and an inlet tax transaction; calculating the sales tax amount generated by the transaction operation based on the transaction sub-data under the condition that the transaction type is sales tax transaction; and determining an entry tax amount generated by the transaction operation based on the transaction sub-data in the case that the transaction data is the entry tax transaction data.
According to an embodiment of the present disclosure, in the case where the transaction type is a sales tax transaction, calculating a sales tax amount generated by the transaction operation based on the transaction sub-data includes: determining whether the transaction sub-data belongs to a value added tax payment range based on the transaction sub-data, wherein the transaction sub-data comprises fees generated by transaction operation; determining a sales tax rate adapted to the transaction sub-data under the condition that the transaction sub-data belongs to the value added tax payment range; and calculating the sales tax amount generated by the transaction operation according to the sales tax rate and the expense.
According to an embodiment of the present disclosure, the processing operations performed for each transaction operation further include: under the condition that the transaction type is sales tax transaction, determining transaction parameters based on transaction sub-data, wherein the transaction parameters at least comprise tax payer information; and generating and storing transaction information related to the transaction operation according to the transaction parameters and the sales tax amount.
According to an embodiment of the present disclosure, the method further comprises: acquiring a tax payer identification number in response to receiving a printing request of a printing invoice; determining and outputting transaction information of at least one unprinted invoice under the tax payer identification number based on the tax payer identification number; generating first value-added tax invoice information in response to acquiring a selection operation of a user for transaction information of at least one unprinted invoice; and printing the invoice based on the first value-added tax invoice information.
According to an embodiment of the present disclosure, the method further comprises: scanning and identifying the invoice to obtain second value-added tax invoice information on the invoice; comparing the second value added tax invoice information with the first value added tax invoice information; and generating a message indicating that the printing information on the invoice is correct under the condition that the second value-added tax invoice information is consistent with the first value-added tax invoice information.
According to an embodiment of the present disclosure, the method further comprises: based on the tax payer identification number, acquiring whether the tax payer corresponding to the tax payer identification number has the qualification of issuing an invoice, wherein printing the invoice based on the first value-added tax invoice information comprises: and printing the invoice under the condition that the tax payer corresponding to the tax payer identification number qualifies for invoicing.
According to an embodiment of the present disclosure, the operations further include, for each transaction: under the condition that the transaction type is the sales tax transaction, verifying whether the transaction sub-data accords with the preset specification of the sales tax transaction sub-data; or under the condition that the transaction type is the entrance tax transaction, verifying whether the transaction sub-data accords with the preset specification of the entrance tax transaction sub-data, wherein under the condition that the transaction type is the sales tax transaction and the transaction sub-data accords with the specification of the sales tax transaction sub-data, calculating the sales tax amount generated by the transaction operation based on the transaction sub-data; or calculating the entrance tax amount generated by the transaction operation based on the transaction data under the condition that the transaction data is the entrance tax transaction data and the transaction sub-data accords with the specification of the entrance tax transaction sub-data.
Another aspect of the present disclosure provides a transaction data processing system, comprising: a receiving module, configured to receive a plurality of transaction requests within a preset period of time, where each transaction request is generated according to a transaction operation performed by a user on a terminal device; a determining module for determining transaction data generated by a plurality of transaction operations based on a plurality of transaction requests, wherein the transaction data includes at least one sales tax and at least one inlet tax; and a calculation module for calculating an increased tax amount within a preset time period based on the at least one sales tax amount and the at least one inlet tax amount. Wherein, the determination module includes: a first determination sub-module for determining a transaction type of the transaction in response to receiving transaction sub-data generated by the transaction, the transaction type including a sales tax transaction and an inlet tax transaction; the second determining submodule is used for calculating the sales tax amount generated by the transaction based on the transaction sub-data under the condition that the transaction type is sales tax transaction; and determining an entry tax amount generated by the transaction based on the transaction data if the transaction data is the entry tax transaction data.
Another aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a storage device for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method described above.
Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions that, when executed, are configured to implement a method as described above.
Another aspect of the present disclosure provides a computer program comprising computer executable instructions which when executed are for implementing a method as described above.
According to the embodiment of the disclosure, the problems of large service scale, high amount, frequent transaction and low value-added tax calculation efficiency of enterprises with various transaction types and forms can be at least partially solved, and therefore, the technical effect of improving the value-added tax calculation efficiency of enterprises can be achieved.
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The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments thereof with reference to the accompanying drawings in which:
FIG. 1 schematically illustrates an exemplary system architecture to which a method of processing transaction data performed by an electronic device may be applied, according to an embodiment of the present disclosure;
FIG. 2 schematically illustrates a schematic block diagram of a data storage device according to an embodiment of the present disclosure;
FIG. 3 schematically illustrates a flow chart of a method of processing transaction data according to an embodiment of the disclosure;
FIG. 4 schematically illustrates a flow chart of processing operations performed for each transaction operation according to an embodiment of the present disclosure;
FIG. 5 schematically illustrates a flow chart of a transaction data processing method according to another embodiment of the present disclosure;
FIG. 6 schematically illustrates a schematic block diagram of a data processing apparatus according to an embodiment of the present disclosure;
FIG. 7 schematically illustrates a block diagram of a transaction data processing system according to an embodiment of the disclosure; and
fig. 8 schematically illustrates a block diagram of an electronic device according to an embodiment of the disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.
Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a formulation similar to at least one of "A, B or C, etc." is used, in general such a formulation should be interpreted in accordance with the ordinary understanding of one skilled in the art (e.g. "a system with at least one of A, B or C" would include but not be limited to systems with a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).
Embodiments of the present disclosure provide a method of processing transaction data performed by an electronic device. The method includes receiving a plurality of transaction requests within a preset time period, determining transaction data generated by a plurality of transaction operations based on the plurality of transaction requests, the transaction data including at least one sales tax amount and at least one inlet tax amount, and calculating and outputting an increased value tax amount within the preset time period based on the at least one sales tax amount and the at least one inlet tax amount.
Fig. 1 schematically illustrates an exemplary system architecture 100 to which a method of processing transaction data performed by an electronic device may be applied, according to an embodiment of the present disclosure. It should be noted that fig. 1 is only an example of a system architecture to which embodiments of the present disclosure may be applied to assist those skilled in the art in understanding the technical content of the present disclosure, but does not mean that embodiments of the present disclosure may not be used in other devices, systems, environments, or scenarios.
As shown in fig. 1, a system architecture 100 according to this embodiment may include a system host 101, a network 102, and a transaction terminal 103.
The system host 101 may be, for example, an electronic device that processes banking transactions. It should be understood that the system theme 101 may be an electronic device for processing other transactions, and the present disclosure is not limited to the system host 101 being only an electronic device for processing banking transactions. The system host 101 is described below as an electronic device for processing banking transactions.
The network 102 may be, for example, an internal banking network, other banking networks, an inter-banking interconnection network, and the like. Specifically, for example, silver network, VISA organization network, and the like can be mentioned.
Transaction terminal 103 may be a variety of electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop portable computers, desktop computers, self-service terminals, counter terminals, and the like.
As shown in fig. 1, network 102 may be used as a medium to provide a communication link between transaction terminal 103 and system host 101. Network 102 may include various connection types such as wired, wireless communication links, or fiber optic cables, among others.
With continued reference to FIG. 1, the system host 101 may include, for example, a data storage device 111, a data processing device 121, and a plurality of interfaces. The plurality of interfaces may include, for example, a first interface 133, a second interface 132, and a third interface 131. It is understood that the plurality of interfaces may be any number of interfaces, and that the three interfaces in fig. 1 are only one example.
According to embodiments of the present disclosure, interface 131 may establish a communication connection with network 102, for example.
According to embodiments of the present disclosure, the data storage device 111 may be, for example, a database management system or a file system. The data storage 111 may be used, for example, to store customer information and transaction information for a bank. Specifically, for example, tax payer information such as the number and address of the customer, value-added tax rate parameters of various business revenues of the bank, value-added tax of the customer, invoice detail information and the like can be included.
Fig. 2 schematically illustrates a schematic block diagram of a data storage device 111 according to an embodiment of the present disclosure.
As shown in fig. 2, the data storage device 111 may include at least one value-added tax information storage unit 201, for example. The value-added tax information storage unit 201 may include, for example, a customer tax payer information device 211, a value-added tax parameter device 221, and a value-added tax and invoice specification device 231.
According to an embodiment of the present disclosure, the customer tax payer information device 211 may store, for example, information about the customer tax payer. Specifically, for example, it may include: tax payer identification number, family name, customer settlement account number, address, issuer, bank settlement account number, etc.
The value-added tax parameter device 221 may store parameter information such as value-added tax rate of various business income of the bank and tax payer identification number corresponding to the bank institution, and at least includes: the type of banking products (such as funds, financial products, etc.), the type of business charges, the value-added tax deduction conditions, the value-added tax rate, banking institutions, their corresponding tax payer identification numbers, etc.
The value-added tax and invoice specification device 231 may store, for example, relevant information such as value-added tax and invoice corresponding to each business transaction involving the value-added tax. Specifically, for example, it may include: customer account number, bank product type, service charge type, total income amount, value-added tax rate, etc.
With continued reference to fig. 1, the data processing device 121 may be, for example, a system for processing banking transactions that receives a transaction request in the interface 131 and performs transaction processing by accessing data in the data storage device 111. And the data processing device 121 may periodically calculate the value-added tax to be paid by the bank during the tax payment period.
It should be noted that, the processing method of transaction data provided by the embodiments of the present disclosure may be generally executed by the system host 101. Accordingly, the processing device for transaction data provided by the embodiments of the present disclosure may be generally disposed in the system host 101.
Fig. 3 schematically illustrates a flow chart of a method of processing transaction data according to an embodiment of the disclosure.
As shown in fig. 3, a method of processing transaction data according to an embodiment of the present disclosure may include operations S310 to S330. As shown in fig. 4, operation S320 in fig. 3 may further include operations S321 to S323. The following describes in detail the implementation of the transaction data processing method according to the embodiment of the present disclosure with reference to the system architecture 100 shown in fig. 1 and 2 and the flowcharts shown in fig. 3 and 4.
In operation S310, a plurality of transaction requests within a preset period of time are received. Wherein each transaction request is generated in accordance with a transaction operation performed by the user on the terminal device.
For example, in the scenario shown in fig. 1, the user performs a "transfer" transaction operation on a transaction terminal 103 (e.g., a cell phone). The transaction terminal 103 transmits a transaction request generated based on the transaction operation to the system host 101 through the network 102. The system host 101 may receive the transaction request, for example, through the interface 131.
According to an embodiment of the present disclosure, the preset time period may be, for example, a tax period in which a bank pays a value-added tax. Specifically, for example, a week, a month, a quarter, etc. may be mentioned.
Transaction data generated by a plurality of transaction operations is determined based on the plurality of transaction requests in operation S320. Wherein the transaction data includes at least one sales tax amount and at least one inlet tax amount.
According to embodiments of the present disclosure, transaction sub-data generated by a transaction operation of each transaction request may be determined, for example, from the transaction request. For example, 10000 transaction requests are received within a preset time period, and sales tax amount or inlet tax amount respectively generated by 10000 transactions are calculated.
Fig. 4 schematically illustrates that determining transaction data generated by a plurality of transaction operations includes processing operations performed for each of the transaction operations, according to an embodiment of the present disclosure.
As shown in fig. 4, the processing operations performed for each transaction may include operations S321 to S323.
In response to receiving the transaction sub-data generated by the transaction operation, a transaction type of the transaction operation is determined, the transaction type including a sales tax transaction and an inlet tax transaction in operation S321.
In the scenario shown in fig. 1, for example, the processing operations performed for each transaction may be performed by the data processing apparatus 121. According to embodiments of the present disclosure, the data processing device 121 may determine a transaction type of the transaction operation based on a source of the transaction sub-data. Specifically, for example, the transaction sub-data is from the first interface 133, and the determined transaction type may be a sales tax transaction. For another example, the transaction sub-data may be from the second interface 132, and the determined transaction type may be an entry tax transaction.
In operation S322, in case the transaction type is a sales tax transaction, a sales tax amount generated by the transaction operation is calculated based on the transaction sub-data.
For example, in the case where the transaction type is a sales tax transaction, the data processing device 121 accesses the customer tax payer information device 211 in the value-added tax information storage unit 201 in the data storage device 111 to obtain information such as the tax payer identification number, the name, the customer settlement account number, the address, the issuer, the bank settlement account number, and the like of the customer. The data processing device 121 may access the value-added tax parameter device 221 according to the type of the bank product and the type of the service charge in the transaction sub-data, for example, to obtain the value-added tax rate of the type of the bank product and the type of the service charge related to the transaction operation.
According to an embodiment of the present disclosure, the data processing apparatus 121 may calculate the sales tax generated by the transaction operation according to a calculation formula of the value-added tax, for example, according to the value-added tax rate determined by the transaction operation and the total amount of the transaction operation.
In operation S323, in case that the transaction data is the entrance tax transaction data, an entrance tax amount generated by the transaction operation is determined based on the transaction sub-data.
For example, after the bank receives the value-added tax invoice issued by other enterprises to the bank, for example, invoice information may be received from the second interface 132, and the data processing device 121 may determine the entry tax amount of the transaction according to the invoice information.
Next, in operation S330, an increased value tax amount for a preset period of time is calculated and output based on the at least one sales tax amount and the at least one inlet tax amount.
For example, 10000 transactions have 400 transactions that produce sales tax and 600 transactions produce inlet tax. According to an embodiment of the present disclosure, for example, a difference between the sum of the sales tax amounts generated by the 400 transactions and the sum of the inlet tax amounts generated by the 600 transactions may be taken as an added value tax amount.
According to the embodiment of the present disclosure, the processing method of transaction data schematically shown in fig. 3 and 4 realizes automatic calculation of value-added tax, reduces manual operations and improves efficiency of determining value-added tax by enterprises such as banks.
According to an embodiment of the present disclosure, after determining the transaction type of the transaction operation, verifying whether the transaction sub-data meets the specification of the preset transaction sub-data may also be performed for each transaction operation. For example, under the condition that the current transaction sub-data accords with the preset transaction sub-data specification, calculating the sales tax amount generated by the transaction operation or determining the inlet tax amount, and under the condition that the current transaction sub-data does not accord with the preset transaction sub-data specification, performing error reporting prompt, thereby ensuring the security of the transaction operation.
For example, in the case where it is determined that the transaction type of the transaction operation is a sales tax transaction, it is verified whether the transaction sub-data conforms to the specification of the sales tax transaction sub-data set in advance. In the case where the transaction sub-data conforms to the specification of the sales tax transaction sub-data, the sales tax amount generated by the transaction operation is calculated based on the transaction sub-data. And under the condition that the transaction type is the entrance tax transaction, verifying whether the transaction sub-data accords with the preset specification of the entrance tax transaction sub-data. In the event that the transaction sub-data meets the specification of the entry tax transaction sub-data, an entry tax amount generated by the transaction operation may be calculated based on the transaction data.
According to an embodiment of the present disclosure, in a case where the transaction type is a sales tax transaction, calculating a sales tax generated by the transaction operation based on the transaction sub-data may include determining whether the transaction sub-data belongs to a range of value added tax payment based on the transaction sub-data, wherein the transaction sub-data includes a fee generated by the transaction operation. Then, in the case that the transaction sub-data belongs to the range of value added tax payment, the sales tax rate adapted to the transaction sub-data is determined and the sales tax amount generated by the transaction operation is calculated according to the sales tax rate and the cost.
Whether the current transaction operation is within the exempt tax range may be determined, for example, based on the type of banking product, the type of business charge in the transaction sub-data. If the transaction is ignored in the non-vital tax range, the sales tax amount generated by the transaction operation can be calculated according to the calculation formula of the value-added tax, the sales tax rate and the cost if the transaction is not in the non-vital tax range. The banking product category may be, for example, a funding product, a financial product, and the like. Business charging categories in industry such as funding products include loan revenue, commission fees, and the like.
According to an embodiment of the present disclosure, the processing operations performed for each transaction operation may further include, on the basis of the operations illustrated in fig. 4: in the case that the transaction type is a sales tax transaction, determining a transaction parameter based on the transaction sub-data, and generating and storing transaction information related to the transaction operation according to the transaction parameter and the sales tax amount. Wherein the transaction parameters include at least taxpayer information.
For example, the data processing device 121 may access the value-added tax parameter device 221 in the value-added tax information storage unit 201 in the data storage device 111 according to the bank account number, the bank transaction facility, etc. in the transaction sub-data, and obtain the transaction parameter corresponding to the transaction operation. The transaction parameters may include, for example, the tax payer information of the customer, the tax payer identification number of the banking institution, the name of the user, the address, etc. The tax payer information may include, for example, a tax payer identification number, a customer settlement account number, a family name, an address, an issuer, and the like.
For example, transaction information related to the transaction operation may be generated based on the sales tax calculated by the transaction parameter and the data processing device 121, the non-tax sales, the total income amount, and the like, and stored in the value-added tax and invoice particulars device 231.
Fig. 5 schematically illustrates a flow chart of a transaction data processing method according to another embodiment of the present disclosure.
As shown in fig. 5, the transaction data processing method as shown in fig. 3 may further include operations S510 to S540 in addition to operations S310 to S330 shown in fig. 3. For example, operations S510 to S540 may be performed after operation S330.
In operation S510, a tax payer identification number is acquired in response to receiving a print request to print an invoice.
For example, the printing request of the printing invoice generated by receiving the input operation of the client on the terminal device prompts the client to input the tax payer identification number.
In operation S520, the transaction information of at least one unprinted invoice under the tax payer identification number is determined and outputted based on the tax payer identification number.
For example, the value-added tax and invoice detail device 231 can be accessed according to the tax payer identification number provided by the client, and the invoice detail not printed under the tax payer identification number can be obtained for the client to select.
According to an embodiment of the present disclosure, it may further include: the identity information of the tax payer identification number is verified before step S520. Specifically, for example, the tax payer identifier determines that the company to which the tax payer identifier belongs is company a, and the system host 101 may prompt the user to provide an identification of the customer as a financial staff of company a. In case that the verification is passed, operation S520 is performed.
In response to acquiring a selection operation of the transaction information of the user for the at least one unprinted invoice, first value-added tax invoice information is generated in operation S530.
In operation S540, an invoice is printed based on the first value-added tax invoice information.
For example, the user may select an invoice to be printed from a plurality of details of the invoice to be printed, or the user may select an option displayed in the invoice. And generating first value-added tax invoice information according to the selection operation of the user, and printing the invoice.
According to the embodiment of the disclosure, the processing method of the transaction data can automatically print the invoice, so that the efficiency of invoicing is improved.
According to another embodiment of the present disclosure, after generating the first value added tax invoice information, the method may further comprise: based on the tax payer identification number, acquiring whether the tax payer corresponding to the tax payer identification number has the qualification of issuing an invoice, and printing the invoice under the condition that the tax payer corresponding to the tax payer identification number has the qualification of issuing an invoice.
For example, system host 101 may be communicatively coupled to a local tax system via network 102. And accessing whether the tax payer corresponding to the tax payer identification number in the local tax system has the qualification of invoicing or not according to the tax payer identification number. And printing the invoice under the condition that the tax payer corresponding to the tax payer identification number qualifies for invoicing. And sending out alarm information under the condition that the tax payer corresponding to the tax payer identification number does not qualify for invoicing.
According to embodiments of the present disclosure, after the invoice is printed out, the invoice may also be scanned and identified to obtain second value-added tax invoice information on the invoice. Invoice information on the invoice may be automatically identified, for example, by OCR (Optical Character Recognition ). And then, comparing the second value-added tax invoice information with the first value-added tax invoice information, and generating a message indicating that the printing information on the invoice is correct under the condition that the second value-added tax invoice information is consistent with the first value-added tax invoice information so as to prompt a user to take the invoice. In the case where the second value-added tax invoice information and the first value-added tax invoice information do not coincide, a message is generated, for example, indicating that the printed information on the invoice is incorrect.
Fig. 6 schematically illustrates a schematic block diagram of a data processing apparatus 121, such as shown in fig. 1, according to an embodiment of the disclosure.
To facilitate an understanding of the disclosed embodiments, an example transaction data processing method according to an embodiment of the disclosure is described below in connection with FIG. 6. Those skilled in the art will appreciate that the transaction data processing methods described below are merely examples, and embodiments of the present disclosure are not limited in this respect.
As shown in fig. 6, the data processing device 121 may include a main processing unit 610, an interface recognition unit 620, a sales tax transaction processing device 630, an entrance tax transaction processing device 640, and a value-added tax periodic declaration calculation processing device 650.
The interface recognition unit 620 may, for example, receive transaction requests of a plurality of interfaces and recognize the interfaces of the transaction, and transmit the recognized transaction sub-data and interface information to the main processing unit 610. The transaction sub-data may include, for example, a customer settlement account number, a banking product type, a business charge type, a total amount of revenue, a customer tax payer identification number, and the like. The interface information may be, for example, from which interface to determine the transaction type of the transaction operation based on the interface.
The main processing unit 610 is a main control unit of the data processing apparatus 121, through which other units are called to complete processing of data. For example, it may call the interface recognition unit 620 to receive a transaction request transmitted from a certain interface, and receive interface information transmitted from the interface recognition unit 620, and determine the type of transaction operation according to the interface information. Operation S321 described above with reference to fig. 4 may be performed, for example.
According to an embodiment of the present disclosure, if the transaction is transmitted from an interface (e.g., the first interface 133) that transmits the sales tax transaction, the main processing unit 610 may call the sales tax transaction processing device 630 to initiate data processing of the sales tax transaction. The sales tax transaction processing means 630 may perform the processing method described in operation S322, for example.
The main processing unit 610 may also invoke, for example, the verification processing means 660 to verify the transaction sub-data before initiating data processing of the sales tax transaction. And in the case that the current transaction sub-data accords with the specification of the sales tax transaction sub-data, starting the data processing of the sales tax transaction.
Specifically, the sales tax transaction processing means 630 may include, for example, a tax payer information registration means 631, a value-added tax parameter setting means 632, a value-added tax-price separation processing means 633, a value-added tax invoice information processing means 634.
The tax payer information registration device 631 may access the client tax payer information device 211 in the value-added tax information storage unit 201 in the data storage device 111 according to the tax payer identification number in the transaction sub-data, and perform the new, modification and revocation processing of the information such as the tax payer identification number, the name, the client settlement account number, the address, the issuer, the bank settlement account number, etc. of the client
The value-added tax parameter setting device 632 may access the value-added tax parameter device 221 in the value-added tax information storage unit 201 in the data storage device 111 according to the type of the bank product and the type of the service charge in the transaction data, so as to perform the new, modification and revocation processing on the parameters such as the value-added tax rate corresponding to the type of the bank product and the type of the service charge, and whether the tax free range is to be used. And according to the bank organization accessing the value-added tax parameter device 221 in the value-added tax information storage unit 201 in the data storage device 111, the information such as the tax payer identification number, the user name, the address and the like corresponding to the bank organization is subjected to new addition, modification and revocation processing.
The value-added tax separation processing device 633 may access the value-added tax parameter device 221 in the value-added tax information storage unit 201 in the data storage device 111 according to the type of the bank product and the type of the service charge in the transaction sub-data, and obtain the parameters such as the value-added tax rate and the non-vital tax range corresponding to the transaction operation. And under the condition that the transaction sub-data belongs to the value-added tax payment range, calculating the corresponding value-added tax according to the total income amount of the transaction operation and the value-added tax formula, and completing the accounting processing. According to embodiments of the present disclosure, the billing process may be online real-time billing or evening batch summary billing.
According to the embodiment of the disclosure, the value-added tax invoice information processing device 634 may access the value-added tax parameter device 221 in the value-added tax information storage unit 201 in the data storage device 111 according to the bank account number and the bank transaction mechanism in the transaction sub-data, so as to obtain the corresponding transaction parameters of the tax payer identification number, the user name, the customer account number, the address, the account opening row, the tax payer identification number, the user name, the address and the like of the client, and register the corresponding transaction parameters in the value-added tax information storage unit 201 in the data storage device 111 according to the information of the non-tax sales amount, the sales tax amount, the total income amount and the like calculated by the value-added tax separation processing device 633, thereby realizing the automatic collection of invoice information.
According to an embodiment of the present disclosure, if the transaction is from an interface (e.g., the second interface 132) that sends an entrance tax transaction, the main processing unit 610 may invoke the entrance tax transaction processing device 640 to initiate data processing of the entrance tax transaction. The entrance tax transaction processing means 640 may perform the processing method described in operation S323, for example. For example, the method can be to register the value-added tax invoice received by each organization of the bank and the expenditure account corresponding to the invoice, and finish the accounting of the entering tax amount according to the deductible tax amount corresponding to the authenticated value-added tax invoice.
According to an embodiment of the present disclosure, the value-added tax periodic declaration calculation processing device 650 may calculate the value-added tax periodically from the sales tax amount and the inlet tax amount. Operation S330 described above with reference to fig. 3 may be performed, for example. The value-added tax periodic declaration calculation processing device 650 may be started every day, or may be started at a certain period (by week, month, season, etc.). For example, the value-added tax periodic declaration calculation processing device 650 first obtains information such as the tax payer identification number, the sales tax amount, the non-tax sales amount, the income tax amount, the printed invoice amount and the number corresponding to the banking transaction mechanism and the mechanism in the present period from the value-added tax and invoice detail device 231, and then performs summary calculation according to the tax payer identification number, and provides the information to the banking personnel as the basis of the tax declaration.
According to an embodiment of the present disclosure, the data processing device 121 may further include a value added tax invoice print processing device 670. In the scenario shown in fig. 1, for example, the third interface 131 may be an interface providing a value added tax invoice printing function, and if the transaction is from the third interface 131, the main processing unit 610 may call the value added tax invoice printing processing means 670 to initiate data processing of the value added tax invoice printing. For example, the operations described above with reference to fig. 5 may be performed.
The value-added tax invoice print processing means 670 may include, for example, a value-added tax invoice query print process 671, a tax control service means 672, and an OCR automatic recognition quality inspection means 673.
The value-added tax invoice inquiry and print processing device 671 may access the value-added tax and invoice detail device 231 in the value-added tax information storage unit 201 in the data storage device 111 according to, for example, the tax payer identification number of the user in the transaction sub-data, and obtain the invoice detail corresponding to the transaction operation of the tax payer identification number in the institution. For example, the operation described above with reference to S510 in fig. 5 may be performed. And acquiring the selection operation of the user to determine the record to be printed according to the selection operation of the user, thereby generating the first value-added tax invoice information.
The tax control service device 672 is used for completing the printing of the value added tax invoice of the user and updating the information of the printed invoice amount, quantity and the like of the invoice detail of the client. The tax control service hardware device 672 may be a value added tax control service device provided by a specific provider, for example, may include a tax control disc, a tax control server, a tax control key, a tax return disc, and other devices, and is responsible for networking with a local tax office system, so as to realize functions of value added tax anti-counterfeiting tax control billing management, value added tax invoice authentication, and the like.
The OCR automatic recognition quality inspection device 673 may, for example, utilize OCR technology to scan and automatically recognize the printed value-added tax invoice, and match the value-added tax invoice with the first value-added tax invoice information stored in the system, so as to implement automatic quality inspection.
Fig. 7 schematically illustrates a block diagram of a transaction data processing system 700 according to an embodiment of the disclosure.
As shown in fig. 7, the transaction data processing system 700 may include a receiving module 710, a determining module 720, and a computing module 730. Wherein the determination module 720 includes a first determination sub-module 721 and a second determination sub-module 722.
The receiving module 710 may perform, for example, operation S310 described above with reference to fig. 3, for receiving a plurality of transaction requests within a preset period of time, each transaction request being generated according to a transaction operation performed by a user on a terminal device.
The determining module 720 may perform, for example, operation S320 described above with reference to fig. 3 for determining transaction data generated by a plurality of transaction operations based on a plurality of transaction requests, wherein the transaction data includes at least one sales tax amount and at least one inlet tax amount.
The calculating module 730 may perform, for example, operation S330 described above with reference to fig. 3, for calculating an increased tax amount within a preset time period based on at least one sales tax amount and at least one inlet tax amount.
The first determining sub-module 721 may perform, for example, operation S321 described above with reference to fig. 4, for determining a transaction type of a transaction in response to receiving transaction sub-data generated by the transaction, the transaction type including a sales tax transaction and an inlet tax transaction. A second determination sub-module 722, for example, may perform operations S322 and S323 described above with reference to fig. 4, for calculating the sales tax amount generated by the transaction based on the transaction sub-data in the case where the transaction type is a sales tax transaction; and calculating an entry tax amount generated by the transaction based on the transaction data in the case that the transaction data is the entry tax transaction data.
Any number of modules, sub-modules, units, sub-units, or at least some of the functionality of any number of the sub-units according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented as split into multiple modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system-on-chip, a system-on-substrate, a system-on-package, an Application Specific Integrated Circuit (ASIC), or in any other reasonable manner of hardware or firmware that integrates or encapsulates the circuit, or in any one of or a suitable combination of three of software, hardware, and firmware. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be at least partially implemented as computer program modules, which when executed, may perform the corresponding functions.
For example, any of the receiving module 710, the determining module 720, the calculating module 730 may be combined in one module to be implemented, or any of the modules may be split into a plurality of modules. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module. At least one of the receiving module 710, the determining module 720, the computing module 730 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system-on-chip, a system-on-a-substrate, a system-on-package, an Application Specific Integrated Circuit (ASIC), or in hardware or firmware, such as any other reasonable way of integrating or packaging the circuitry, or in any one of or a suitable combination of three of software, hardware, and firmware, in accordance with embodiments of the present disclosure. Alternatively, at least one of the receiving module 710, the determining module 720, the calculating module 730 may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.
Fig. 8 schematically shows a block diagram of an electronic device adapted to implement the method described above, according to an embodiment of the disclosure. The electronic device shown in fig. 8 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 8, an electronic device 800 according to an embodiment of the present disclosure includes a processor 801 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 802 or a program loaded from a storage section 805 into a Random Access Memory (RAM) 803. The processor 801 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 801 may also include on-board memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing the different actions of the method flows according to embodiments of the disclosure.
In the RAM 803, various programs and data required for the operation of the electronic device 800 are stored. The processor 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. The processor 801 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 802 and/or the RAM 803. Note that the program may be stored in one or more memories other than the ROM 802 and the RAM 803. The processor 801 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.
According to an embodiment of the disclosure, the electronic device 800 may also include an input/output (I/O) interface 808, the input/output (I/O) interface 808 also being connected to the bus 804. The electronic device 800 may also include one or more of the following components connected to the I/O interface 808: an input portion 806 including a keyboard, mouse, etc.; an output portion 807 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage section 808 including a hard disk or the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. The drive 810 is also connected to the I/O interface 808 as needed. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as needed so that a computer program read out therefrom is mounted into the storage section 808 as needed.
According to embodiments of the present disclosure, the method flow according to embodiments of the present disclosure may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section 809, and/or installed from the removable media 811. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 801. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.
The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 802 and/or RAM 803 and/or one or more memories other than ROM 802 and RAM 803 described above.
Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be provided in a variety of combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.
The embodiments of the present disclosure are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.
Claims (9)
1. A method of processing transaction data performed by an electronic device, comprising:
receiving a plurality of transaction requests within a preset time period, wherein the preset time period comprises a tax payment period for paying value-added tax, the transaction requests respectively correspond to a source interface, and each transaction request in the transaction requests is generated according to a transaction operation executed by a user on terminal equipment;
Determining transaction data generated by a plurality of the transaction operations based on the plurality of transaction requests, wherein the transaction data includes at least one sales tax amount and at least one inlet tax amount; and
calculating and outputting an increased tax amount within the preset time period based on the at least one sales tax amount and the at least one inlet tax amount,
wherein said determining transaction data generated by a plurality of said transaction operations based on said plurality of transaction requests comprises performing, for each of said transaction operations, the following processing operations:
in response to receiving transaction sub-data generated by the transaction operation, determining a transaction type of the transaction operation according to the source interface corresponding to the transaction sub-data, the transaction type including a sales tax transaction and an entry tax transaction;
calculating the sales tax amount generated by the transaction operation based on the transaction sub-data under the condition that the transaction type is sales tax transaction; and
determining an entry tax amount generated by the transaction operation based on the transaction sub-data under the condition that the transaction data is the entry tax transaction data;
wherein, when the transaction type is a sales tax transaction, calculating the sales tax amount generated by the transaction operation based on the transaction sub-data comprises:
Determining whether the transaction sub-data belongs to a value-added tax payment range or not based on the type of the bank product and the type of the service charge in the transaction sub-data, wherein the transaction sub-data comprises the cost generated by the transaction operation;
determining a sales tax rate adapted to the transaction sub-data under the condition that the transaction sub-data belongs to the value added tax payment range; and
and calculating the sales tax amount generated by the transaction operation according to the sales tax rate and the expense.
2. The method of claim 1, wherein the processing operations performed for each of the transaction operations further comprise:
determining a transaction parameter based on the transaction sub-data under the condition that the transaction type is a sales tax transaction, wherein the transaction parameter at least comprises tax payer information; and
and generating and storing transaction information related to the transaction operation according to the transaction parameters and the sales tax amount.
3. The method of claim 2, further comprising:
acquiring a tax payer identification number in response to receiving a printing request of a printing invoice;
determining and outputting the transaction information of at least one unprinted invoice under the tax payer identification number based on the tax payer identification number;
Generating first value-added tax invoice information in response to acquiring a selection operation of a user for the transaction information of the at least one unprinted invoice; and
printing an invoice based on the first value added tax invoice information.
4. A method according to claim 3, further comprising:
scanning and identifying the invoice to obtain second value-added tax invoice information on the invoice;
comparing the second value added tax invoice information with the first value added tax invoice information;
and generating a message indicating that the printing information on the invoice is correct under the condition that the second value-added tax invoice information is consistent with the first value-added tax invoice information.
5. A method according to claim 3, further comprising:
based on the tax payer identification number, obtaining whether the tax payer corresponding to the tax payer identification number qualifies for issuing the invoice,
wherein, based on the first value-added tax invoice information, printing the invoice comprises:
and printing the invoice under the condition that the tax payer corresponding to the tax payer identification number qualifies for issuing the invoice.
6. The method of claim 1, further comprising, for each of the transaction operations:
under the condition that the transaction type is sales tax transaction, verifying whether the transaction sub-data accords with the preset specification of sales tax transaction sub-data; or alternatively
Under the condition that the transaction type is an entrance tax transaction, verifying whether the transaction sub-data accords with the preset specification of the entrance tax transaction sub-data,
under the condition that the transaction type is a sales tax transaction and the transaction sub-data accords with the specification of the sales tax transaction sub-data, calculating sales tax amount generated by the transaction operation based on the transaction sub-data; or alternatively
And calculating the entrance tax amount generated by the transaction operation based on the transaction data under the condition that the transaction data is the entrance tax transaction data and the transaction sub-data accords with the specification of the entrance tax transaction sub-data.
7. A transaction data processing system, comprising:
the system comprises a receiving module, a processing module and a processing module, wherein the receiving module is used for receiving a plurality of transaction requests in a preset time period, the preset time period comprises a tax payment period for paying value-added tax, the plurality of transaction requests respectively correspond to a source interface, and each transaction request in the plurality of transaction requests is generated according to a transaction operation executed by a user on terminal equipment;
a determining module configured to determine transaction data generated by a plurality of the transaction operations based on the plurality of transaction requests, wherein the transaction data includes at least one sales tax amount and at least one inlet tax amount; and
A calculation module for calculating an increased tax amount within the preset time period based on the at least one sales tax amount and the at least one inlet tax amount,
wherein the determining module comprises:
a first determining sub-module, configured to determine a transaction type of the transaction according to the source interface corresponding to the transaction sub-data in response to receiving transaction sub-data generated by the transaction, where the transaction type includes a sales tax transaction and an entry tax transaction;
a second determining sub-module, configured to calculate, based on the transaction sub-data, a sales tax amount generated by the transaction, in a case where the transaction type is a sales tax transaction;
and calculating an entry tax amount generated by the transaction based on the transaction data if the transaction data is the entry tax transaction data;
wherein the second determination submodule is configured to:
determining whether the transaction sub-data belongs to a value-added tax payment range or not based on the type of the bank product and the type of the service charge in the transaction sub-data, wherein the transaction sub-data comprises the cost generated by the transaction operation;
determining a sales tax rate adapted to the transaction sub-data under the condition that the transaction sub-data belongs to the value added tax payment range; and
And calculating the sales tax amount generated by the transaction operation according to the sales tax rate and the expense.
8. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-6.
9. A computer readable storage medium having stored thereon executable instructions which when executed by a processor cause the processor to perform the method of any of claims 1 to 6.
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| CN111199145A (en) * | 2019-12-30 | 2020-05-26 | 航天信息股份有限公司 | Method, device, storage medium and electronic equipment for generating value-added tax report |
| CN112231465A (en) * | 2020-10-20 | 2021-01-15 | 南方电网数字电网研究院有限公司 | Service data resource separation method and device, computer equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1828650A (en) * | 2005-12-31 | 2006-09-06 | 中国工商银行股份有限公司 | Group capital real-time account service method |
| CN106169152A (en) * | 2016-09-08 | 2016-11-30 | 广东源恒软件科技有限公司 | The automatic accounting method of a kind of value-added tax and system |
| CN108921682A (en) * | 2018-07-05 | 2018-11-30 | 中国建设银行股份有限公司 | A kind of processing method of value-added tax, device and system |
| CN109447776A (en) * | 2018-10-22 | 2019-03-08 | 中国银行股份有限公司 | It collects taxes method and device, storage medium and electronic equipment |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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-
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1828650A (en) * | 2005-12-31 | 2006-09-06 | 中国工商银行股份有限公司 | Group capital real-time account service method |
| CN106169152A (en) * | 2016-09-08 | 2016-11-30 | 广东源恒软件科技有限公司 | The automatic accounting method of a kind of value-added tax and system |
| CN108921682A (en) * | 2018-07-05 | 2018-11-30 | 中国建设银行股份有限公司 | A kind of processing method of value-added tax, device and system |
| CN109447776A (en) * | 2018-10-22 | 2019-03-08 | 中国银行股份有限公司 | It collects taxes method and device, storage medium and electronic equipment |
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