CN111199432A - Data processing method, device, system and computer readable storage medium - Google Patents
Data processing method, device, system and computer readable storage medium Download PDFInfo
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- CN111199432A CN111199432A CN201811372363.2A CN201811372363A CN111199432A CN 111199432 A CN111199432 A CN 111199432A CN 201811372363 A CN201811372363 A CN 201811372363A CN 111199432 A CN111199432 A CN 111199432A
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Abstract
The present disclosure provides a data processing method, including: acquiring image information; analyzing the image information to obtain user data, and determining whether the user data comprises user identity data; under the condition that the user data comprises the user identity data, acquiring bill information matched with the user identity data, wherein the bill information can be used for generating a bill voucher; and displaying the bill information.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a data processing method, a data processing apparatus, a data processing system, and a computer-readable storage medium.
Background
With the rapid development of electronic technology and the improvement of living standard, more and more consumption is brought. After the user consumes, it is usually necessary to issue a consumption certificate, for example, an invoice. For example, in the retail industry, consumption data and bill information of a user are generally input by a merchant so as to issue consumption certificates, but the input information is cumbersome and easy to input errors, so that invoicing is inefficient. Therefore, how to improve the efficiency of developing consumption certificates is a problem that needs to be solved urgently at present.
In the process of realizing the concept of the present disclosure, the inventor finds that in the prior art, at least the following problems exist, the existing issuing consumption voucher needs to manually input consumption data and bill information, the input information is complicated, and the input error is easy, so that the issuing consumption voucher is low in efficiency.
Disclosure of Invention
In view of the above, the present disclosure provides an optimized data processing method and data processing system.
One aspect of the present disclosure provides a data processing method, including: the method comprises the steps of obtaining image information, analyzing the image information to obtain user data, determining whether the user data comprise user identity data, and obtaining bill information matched with the user identity data under the condition that the user data comprise the user identity data, wherein the bill information can be used for generating bill certificates and displaying the bill information.
According to an embodiment of the present disclosure, the obtaining of the ticket information matched with the user identity data when the user data includes the user identity data includes: and under the condition that the user data comprises the user identity data, determining whether bill information matched with the user identity data exists, if so, acquiring the bill information matched with the user identity data, and if not, acquiring at least one piece of related bill information.
According to an embodiment of the present disclosure, the method further includes: and under the condition that the user data does not comprise the user identity data, acquiring at least one piece of related bill information, and displaying the at least one piece of related bill information.
According to an embodiment of the present disclosure, the obtaining at least one piece of related ticket information when the user data does not include the user identity data includes: in the case that the user data does not include user identity data, obtaining input data of a user, and obtaining at least one piece of related bill information associated with the input data based on the input data of the user.
According to an embodiment of the present disclosure, the acquiring at least one piece of related ticket information associated with the input data based on the input data of the user includes: and determining whether related bill information associated with the input data exists or not based on the input data of the user, acquiring the at least one piece of related bill information if the related bill information associated with the input data exists, and storing the input data if the related bill information associated with the input data does not exist.
According to an embodiment of the present disclosure, the method further includes: generating image information based on the user's consumption data and/or the user identity data.
Another aspect of the present disclosure provides a data processing apparatus including: the device comprises a first acquisition module, an analysis module, a second acquisition module and a first display module. The system comprises a first acquisition module, an analysis module, a second acquisition module and a first display module, wherein the first acquisition module acquires image information, the analysis module analyzes the image information to obtain user data and determines whether the user data comprises user identity data, the second acquisition module acquires bill information matched with the user identity data under the condition that the user data comprises the user identity data, the bill information can be used for generating bill vouchers, and the first display module displays the bill information.
According to an embodiment of the present disclosure, the obtaining of the ticket information matched with the user identity data when the user data includes the user identity data includes: and under the condition that the user data comprises the user identity data, determining whether bill information matched with the user identity data exists, if so, acquiring the bill information matched with the user identity data, and if not, acquiring at least one piece of related bill information.
According to an embodiment of the present disclosure, the apparatus further includes: a third acquisition module and a second display module. And the second display module is used for displaying the at least one piece of related bill information.
According to an embodiment of the present disclosure, the obtaining at least one piece of related ticket information when the user data does not include the user identity data includes: in the case that the user data does not include user identity data, obtaining input data of a user, and obtaining at least one piece of related bill information associated with the input data based on the input data of the user.
According to an embodiment of the present disclosure, the acquiring at least one piece of related ticket information associated with the input data based on the input data of the user includes: and determining whether related bill information associated with the input data exists or not based on the input data of the user, acquiring the at least one piece of related bill information if the related bill information associated with the input data exists, and storing the input data if the related bill information associated with the input data does not exist.
According to an embodiment of the present disclosure, the apparatus further includes: a generating module for generating image information based on the consumption data of the user and/or the user identity data.
Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions for implementing the method as described above when executed.
Another aspect of the disclosure provides a computer program comprising computer executable instructions for implementing the method as described above when executed.
According to the embodiment of the disclosure, the problem that consumption data and bill information need to be manually input when the consumption voucher is opened in the prior art, the input information is complicated and is easy to input in error, so that the efficiency of opening the consumption voucher is low can be solved, and the technical effect of improving the efficiency of opening the consumption voucher can be realized.
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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 of the present disclosure with reference to the accompanying drawings, in which:
FIG. 1 schematically illustrates a system architecture of a data processing method and processing system according to an embodiment of the present disclosure;
FIGS. 2A-2B schematically illustrate application scenarios of a data processing method and processing system according to embodiments of the present disclosure;
3A-3B schematically illustrate a flow diagram of a data processing method according to an embodiment of the present disclosure;
4A-4B schematically illustrate a flow diagram of a data processing method according to another embodiment of the present disclosure;
FIG. 5 schematically shows a flow chart of a data processing method according to yet another embodiment of the present disclosure;
FIG. 6 schematically shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure;
FIG. 7 schematically shows a block diagram of a data processing apparatus according to another embodiment of the present disclosure;
FIG. 8 schematically shows a block diagram of a data processing apparatus according to yet another embodiment of the present disclosure; and
FIG. 9 schematically shows a block diagram of a computer system suitable for data processing according to an embodiment of the present 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 illustrative only 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 disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not 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 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 is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have 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 convention analogous to "A, B or at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B or C" would include but not be limited to systems that have 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.). It will be further understood by those within the art that virtually any disjunctive word and/or phrase presenting two or more alternative terms, whether in the description, claims, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms. For example, the phrase "a or B" should be understood to include the possibility of "a" or "B", or "a and B".
An embodiment of the present disclosure provides a data processing method, including: the method comprises the steps of obtaining image information, analyzing the image information to obtain user data, determining whether the user data comprise user identity data, and obtaining bill information matched with the user identity data under the condition that the user data comprise the user identity data, wherein the bill information can be used for generating bill vouchers and displaying the bill information.
Fig. 1 schematically shows a system architecture of a data processing method and a data processing system 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 the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.
As shown in fig. 1, the system architecture 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the terminal devices 101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.
It should be noted that the data processing method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the data processing apparatus provided by the embodiments of the present disclosure may be generally disposed in the server 105. The data processing method provided by the embodiment of the present disclosure may also be executed by a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the data processing apparatus provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105.
For example, the user identity data and the ticket information of the embodiment of the present disclosure may be stored in the terminal devices 101, 102, and 103, and the user identity data and the ticket information are sent to the server 105 through the terminal devices 101, 102, and 103, and the server 105 may obtain the matched ticket information according to the user identity data, or the terminal devices 101, 102, and 103 may also obtain the matched ticket information directly according to the user identity data. In addition, the user identity data and the ticket information can also be directly stored in the server 105, and the server 105 acquires the matched ticket information directly according to the user identity data.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Fig. 2A to 2B schematically show application scenarios of the data processing method and the data processing system according to an embodiment of the present disclosure. It should be noted that fig. 2A-2B are only examples of scenarios in which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, but do not mean that the embodiments of the present disclosure may not be used in other devices, systems, environments or scenarios.
As shown in fig. 2A, the application scenario 200 may include, for example, an electronic device 210 and image information 220.
The electronic device 210 may be, for example, a device capable of acquiring the image information 220, and the electronic device 210 may be a smart phone, a computer, a tablet, or the like.
According to the embodiment of the present disclosure, the image information 220 may be an image for storing related data, and the image information 220 may include, for example, an image of a two-dimensional code, a barcode, or the like. The image information 220 can be used to store text data, website links, audio data, video data, etc., and the related data stored in the image information 220 can be obtained by parsing the image information 220. For example, after the user consumes, the image information 220 may be image information provided by the merchant including the user consumption information, which may be used to invoice the consumer.
For example, the image information 220 may be acquired by the electronic device 210, and the related data stored in the image information 220 may be acquired by analyzing the image information 220.
As shown in fig. 2B, when the image information 220 includes user identity data, the user identity data may be, for example, a member account number registered by the user at the merchant, bill information 230 stored by the merchant and matching with the user identity data is obtained according to the user identity data, and the bill information 230 may include, for example, an invoice heading, a taxpayer identification number, and the like, and the matched bill information 230 is displayed to the user, so that the user can confirm whether the matching bill information is correct.
According to the embodiment of the disclosure, the user identity data is obtained by analyzing the image information, the bill information matched with the user identity data is automatically obtained, the bill information can be used for issuing the bill voucher, the bill information is displayed to enable the user to confirm whether the bill information is correct or not, the fact that the tedious bill information is not required to be manually input is achieved, and therefore the efficiency of issuing the consumption voucher is improved.
Fig. 3A-3B schematically show a flow chart of a data processing method according to an embodiment of the present disclosure.
As shown in fig. 3A, the method includes operations S310 to S340.
In operation S310, image information is acquired.
According to an embodiment of the present disclosure, the image information may be an image that can be used to store related data, and the image information may include, for example, image information such as a two-dimensional code, a barcode, and the like. The image information can be used to store text data, website links, audio data, video data, etc., and the related data stored in the image information can be obtained by parsing the image information. It is understood that the embodiments of the present disclosure are not limited to specific types of image information, and may be two-dimensional codes, bar codes, and other images capable of being used to store related data.
In operation S320, the image information is parsed to obtain user data, and it is determined whether user identification data is included in the user data.
According to an embodiment of the present disclosure, the user data may include, for example, a user's amount of consumption, information of goods consumed by the user, an order number consumed by the user, a time of consumption by the user, user's identity data, related links, and the like. The identity data of the user may include account information of the user, for example.
For example, when the user consumes at the merchant a, the consumption receipt provided by the merchant includes, for example, image information, which may be a two-dimensional code, and the user may apply for issuing a consumption certificate, such as issuing a consumption invoice, by scanning the image information. That is, the two-dimensional code may include the amount of the user's consumption at merchant A, the order number of the user's consumption, the time of the user's consumption, the user's identity data, related links, and the like. The user identity data may be, for example, account information of a member of the user registered with the merchant a, such as a member account, and the related link may be, for example, an interface link provided by the merchant a for supporting the user to apply for issuing a consumption certificate, and the like.
In the embodiment of the present disclosure, the image information is analyzed, for example, a consumption two-dimensional code provided by a merchant is scanned, the two-dimensional code is analyzed to obtain user data, and whether the user data includes user identity data is determined, for example, whether the user data includes member account information of the user is determined.
In operation S330, in case that the user data includes user identity data, ticket information matching the user identity data is acquired, wherein the ticket information can be used to generate a ticket voucher.
According to the embodiment of the disclosure, the bill information may be, for example, information for generating a bill voucher, for example, when the bill voucher is an invoice, the bill information may be, for example, an invoice heading, a taxpayer identification number, a contact address, and the like.
The merchant can store the member information to a background database or a cloud platform, the member information may include a member account and bill information of an invoice issued before the account, wherein the member account and the bill information associated with the member account can be stored in the background database or the cloud platform of the merchant in an associated manner, when the user data obtained by analyzing the image information includes user identity data, the bill information associated with the user identity data and pre-stored by the member is inquired from the background database or pulled from the cloud platform, for example, the bill information associated with the user identity data is obtained, such as the bill heading, the taxpayer identification number, the contact manner and the like, and the bill information can be used for generating a bill certificate, for example, the bill information can be submitted to a tax system to obtain the invoice required by the user.
Wherein, under the condition that the user data includes the user identity data, acquiring the bill information matched with the user identity data, including:
first, in the case where the user data includes user identification data, it is determined whether there is ticket information that matches the user identification data.
For example, in the case that the user data obtained from the image information includes user identity data, it may be determined whether there is bill information matching the user identity data from a background database of the merchant or a cloud platform, for example, when the user identity data is a member account, it may be determined whether there is bill information associated with the member stored in advance from the background database of the merchant or from the cloud platform.
And secondly, if the bill information matched with the user identity data exists, acquiring the bill information matched with the user identity data.
For example, when there is bill information matching the user identity data in the merchant background database or the cloud platform, for example, when the user identity data is a member account, and when there is bill information associated with the member in the merchant background database or the cloud platform, the bill information associated with the user identity data in advance stored by the member is acquired from the background database or pulled from the cloud platform, for example, an invoice heading, a taxpayer identification number, a contact way, and the like associated with the user identity data are acquired.
And then, if the bill information matched with the user identity data does not exist, acquiring at least one piece of related bill information.
For example, when there is no bill information matching the user identity data in the merchant backend database or the cloud platform, at least one piece of related bill information may be obtained, where the related bill information may be, for example, bill information that may be needed by the user, the related bill information may be, for example, stored in the backend database or in the cloud platform, and the related bill information may be bill information of other members of the merchant, or may be bill information of an invoice that has been issued by the merchant before.
If the bill information matched with the user identity data does not exist, the merchant can recommend a plurality of bill information with higher use frequency to the user for the user to select, or can also receive input data of the user and recommend the bill information related to the input data to the user based on the input data of the user. For example, when the user inputs "beijing", a plurality of pieces of related ticket information including, for example, "beijing tokyo century trade limited" and a corresponding taxpayer identification number, or "beijing tokyo shankoku information technology limited" and a corresponding taxpayer identification number, or the like may be recommended to the user.
In operation S340, the ticket information is presented.
According to the embodiment of the disclosure, the bill information can be displayed for the user to select the required bill information, or the user can confirm whether the bill information is correct, and the information such as the consumption amount of the user, the order number consumed by the user, the consumption time of the user, the identity data of the user and the like can also be displayed.
According to the embodiment of the disclosure, the user identity data is obtained by analyzing the image information, the bill information matched with the user identity data is automatically obtained, the bill information can be used for issuing the bill voucher, the bill information is displayed to enable the user to confirm whether the bill information is correct or not, the fact that the tedious bill information is not required to be manually input is achieved, and therefore the efficiency of issuing the consumption voucher is improved.
As shown in fig. 3B, after the image information is analyzed to obtain the user data, when the user data includes the user identification data and there is the bill information matched with the user identification data, the bill information matched with the user identification data is obtained and displayed, and the user only needs to determine whether the bill information is correct, and does not need to manually enter the bill information, so that the process of making an invoice is convenient and fast.
Fig. 4A-4B schematically show a flow chart of a data processing method according to another embodiment of the present disclosure.
As shown in fig. 4A, the method includes operations S310 to S340 and operations S410 to S420. Operations S310 to S340 are the same as or similar to the operations described above with reference to fig. 3A, and are not described again here.
In operation S410, in case that the user data does not include the user identity data, at least one related ticket information is acquired.
According to the embodiment of the disclosure, under the condition that the user data acquired by analyzing the image information does not include the user identity data, at least one piece of related bill information is acquired. For example, when there is no user identity data, at least one piece of related ticket information may be directly obtained from the background database or the cloud platform without matching the ticket information matched with the user identity data in the background database or the cloud platform, where the related ticket information may be, for example, ticket information that may be required by the user, and the related ticket information may be, for example, ticket information of other members of the merchant, or ticket information of an invoice that has been issued by the merchant before. For example, the merchant may recommend a plurality of pieces of ticket information with higher use frequency to the user for selection by the user.
According to the embodiment of the present disclosure, in the case that the user data does not include the user identity data, obtaining at least one piece of related ticket information includes:
first, in a case where the user data does not include user identification data, input data of the user is acquired.
The input data of the user may be, for example, partial information input by the user, and the partial information may be, for example, partial information of a new line for invoicing.
Secondly, based on the input data of the user, at least one piece of related bill information associated with the input data is acquired.
Recommending bill information related to the input data for the user based on the input data of the user. For example, when the user inputs "beijing", a plurality of pieces of related ticket information including, for example, "beijing east century trade limited" and a corresponding taxpayer identification number, or "beijing east science information technology limited" and a corresponding taxpayer identification number, or the like may be recommended to the user.
According to the embodiment of the disclosure, based on input data of a user, acquiring at least one piece of related bill information associated with the input data comprises:
first, based on input data of a user, it is determined whether there is related ticket information associated with the input data.
For example, based on the user's input data, it is determined whether a merchant's backend database or cloud platform stores ticket information associated with the user's input data.
Secondly, if the related bill information associated with the input data exists, at least one piece of related bill information is obtained.
If the bill information associated with the user input data exists, the related bill information is acquired, for example, at least one piece of related bill information related to the user input data can be matched from a background database or a cloud platform of a merchant through a fuzzy matching function, for example, at least one invoice new line is matched based on the user input data in a fuzzy matching mode for the user to select, and when the user selects a required invoice new line from the at least one invoice new line, the new line and a taxpayer identification number corresponding to the new line can be displayed at the same time. For example, the input data of the user is "beijing", when a background database or a cloud platform of a merchant stores bill information such as "beijing tokyo century trade limited company" and a corresponding taxpayer identification number, or "beijing tokyo shankou information technology limited company" and a corresponding taxpayer identification number, the stored bill information is associated with the input data of the user, at least one piece of related bill information associated with "beijing tokyo" is obtained through fuzzy matching, and the related bill information obtained through the fuzzy matching function includes, for example: "beijing east century trade limited company" and corresponding taxpayer identification number, or "beijing east shankukoku information technology limited company" and corresponding taxpayer identification number, and the like.
Then, if the related bill information associated with the input data does not exist, the input data is stored.
If there is no bill information associated with the user input data, for example, the user input data is "beijing AB limited", when the bill information stored in the background database or cloud platform of the merchant is not related to the input data, the user input data is stored, for example, the bill information such as "beijing AB limited" and the corresponding taxpayer identification number input by the user is stored, so as to be provided to other invoicing users later.
In operation S420, at least one related ticket information is presented.
According to the embodiment of the disclosure, the related ticket information can be displayed so that the user can select the required ticket information from the recommended at least one piece of related ticket information, and the information such as the consumption amount of the user, the order number consumed by the user, the consumption time of the user, the identity data of the user and the like can also be displayed.
As shown in fig. 4B, after the image information is analyzed to obtain the user data, in the case that the user data does not include the user identity data, at least one piece of related bill information associated with the input data of the user is obtained, and the at least one piece of related bill information is displayed, so that the user can select the required bill information from the at least one piece of related bill information, and the process of making an invoice is convenient and fast.
Fig. 5 schematically shows a flow chart of a data processing method according to yet another embodiment of the present disclosure.
As shown in fig. 5, the method includes operations S310 to S340, S410 to S420, and S510. Operations S310 to S340 are the same as or similar to the operations described above with reference to fig. 3A, and are not described herein again, and operations S410 to S420 are the same as or similar to the operations described above with reference to fig. 4A, and are not described herein again.
In operation S510, image information is generated based on consumption data of a user and/or user identity data.
According to the embodiment of the disclosure, a merchant can encrypt information such as consumption data of a user or identity data of the user according to the consumption condition of the user to generate image information, for example, a two-dimensional code is generated, and the two-dimensional code is printed in a consumption receipt, so that the user can issue a consumption certificate based on the two-dimensional code, for example, issue a consumption invoice.
Fig. 6 schematically shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure.
As shown in fig. 6, the data processing apparatus 600 includes a first obtaining module 610, a parsing module 620, a second obtaining module 630, and a first presenting module 640.
The first acquiring module 610 may be used to acquire image information. According to an embodiment of the present disclosure, the first obtaining module 610 may, for example, perform operation S310 described above with reference to fig. 3A, which is not described herein again.
The parsing module 620 may be configured to parse the image information to obtain user data, and determine whether the user data includes user identity data. According to the embodiment of the present disclosure, the parsing module 620 may, for example, perform the operation S320 described above with reference to fig. 3A, which is not described herein again.
The second obtaining module 630 may be configured to obtain the ticket information matching the user identity data if the user data includes the user identity data, where the ticket information can be used to generate a ticket credential.
According to the embodiment of the present disclosure, acquiring the ticket information matched with the user identity data under the condition that the user data includes the user identity data includes: and under the condition that the user data comprises user identity data, determining whether bill information matched with the user identity data exists, if so, acquiring the bill information matched with the user identity data, and if not, acquiring at least one piece of related bill information.
According to the embodiment of the present disclosure, the second obtaining module 630 may, for example, perform the operation S330 described above with reference to fig. 3A, which is not described herein again.
The first presentation module 640 may be used to present ticket information. According to the embodiment of the present disclosure, the first display module 640 may, for example, perform the operation S340 described above with reference to fig. 3A, which is not described herein again.
Fig. 7 schematically shows a block diagram of a data processing device according to another embodiment of the present disclosure.
As shown in fig. 7, the data processing apparatus 700 includes a first obtaining module 610, a parsing module 620, a second obtaining module 630, a first presenting module 640, a third obtaining module 710, and a second presenting module 720. The first obtaining module 610, the parsing module 620, the second obtaining module 630 and the first displaying module 640 are the same as or similar to the modules described above with reference to fig. 6, and are not repeated herein.
The third obtaining module 710 may be configured to obtain at least one piece of related ticket information if the user data does not include the user identity data.
According to the embodiment of the present disclosure, in the case that the user data does not include the user identity data, obtaining at least one piece of related ticket information includes: in the case that the user data does not include user identity data, input data of the user is acquired, and based on the input data of the user, at least one piece of related ticket information associated with the input data is acquired.
According to the embodiment of the disclosure, based on input data of a user, acquiring at least one piece of related bill information associated with the input data comprises: the method comprises the steps of determining whether relevant bill information associated with input data exists or not based on the input data of a user, acquiring at least one piece of relevant bill information if the relevant bill information associated with the input data exists, and storing the input data if the relevant bill information associated with the input data does not exist.
According to the embodiment of the present disclosure, the third obtaining module 710 may, for example, perform operation S410 described above with reference to fig. 4A, which is not described herein again.
The second presentation module 720 may be used to present at least one related ticket information. According to the embodiment of the disclosure, the second display module 720 may, for example, perform the operation S420 described above with reference to fig. 4A, which is not described herein again.
Fig. 8 schematically shows a block diagram of a data processing device according to yet another embodiment of the present disclosure.
As shown in fig. 8, the data processing apparatus 800 includes a first obtaining module 610, a parsing module 620, a second obtaining module 630, a first presenting module 640, a third obtaining module 710, a second presenting module 720, and a generating module 810. The first obtaining module 610, the parsing module 620, the second obtaining module 630, and the first displaying module 640 are the same as or similar to the modules described above with reference to fig. 6, and are not described herein again, and the third obtaining module 710 and the second displaying module 720 are the same as or similar to the modules described above with reference to fig. 7, and are not described herein again.
The generation module 810 may be used to generate image information based on consumption data and/or user identity data of a user. According to an embodiment of the present disclosure, the generating module 810 may perform, for example, the operation S510 described above with reference to fig. 5, which is not described herein again.
Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-units according to the embodiments of the present disclosure may be implemented by being split into a plurality of 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 a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.
For example, any plurality of the obtaining module 510, the first obtaining module 610, the parsing module 620, the second obtaining module 630, the first presenting module 640, the third obtaining module 710, the second presenting module 720, and the generating module 810 may be combined and implemented in one module, or any one of the modules may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first obtaining module 610, the parsing module 620, the second obtaining module 630, the first presenting module 640, the third obtaining module 710, the second presenting module 720, and the generating module 810 may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware, and firmware, or in a suitable combination of any of them. Alternatively, at least one of the first obtaining module 610, the parsing module 620, the second obtaining module 630, the first presenting module 640, the third obtaining module 710, the second presenting module 720 and the generating module 810 may be at least partially implemented as a computer program module, which when executed, may perform a corresponding function.
FIG. 9 schematically shows a block diagram of a computer system suitable for data processing according to an embodiment of the present disclosure. The computer system illustrated in FIG. 9 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the disclosure.
As shown in fig. 9, a computer system 900 according to an embodiment of the present disclosure includes a processor 901 which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)902 or a program loaded from a storage section 908 into a Random Access Memory (RAM) 903. Processor 901 may comprise, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 901 may also include on-board memory for caching purposes. The processor 901 may comprise a single processing unit or a plurality of processing units for performing the different actions of the method flows according to embodiments of the present disclosure.
In the RAM 903, various programs and data necessary for the operation of the system 900 are stored. The processor 901, the ROM 902, and the RAM 903 are connected to each other through a bus 904. The processor 901 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 902 and/or the RAM 903. Note that the programs may also be stored in one or more memories other than the ROM 902 and the RAM 903. The processor 901 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 embodiments of the present disclosure, method flows according to embodiments of the present disclosure may be implemented as computer software programs. 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 containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section 909, and/or may be installed from the removable medium 9. The computer program, when executed by the processor 901, performs the above-described functions defined in the system of the embodiment of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a computer-non-volatile computer-readable storage medium, which may include, for example and without limitation: 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 present 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, a computer-readable storage medium may include the ROM 902 and/or the RAM 903 described above and/or one or more memories other than the ROM 902 and the RAM 903.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.
The embodiments of the present disclosure have been 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 separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.
Claims (14)
1. A method of data processing, comprising:
acquiring image information;
analyzing the image information to obtain user data, and determining whether the user data comprises user identity data;
under the condition that the user data comprises the user identity data, acquiring bill information matched with the user identity data, wherein the bill information can be used for generating a bill voucher; and
and displaying the bill information.
2. The method of claim 1, wherein the obtaining ticket information matching the user identity data in the case that the user data comprises the user identity data comprises:
determining whether there is ticket information matching the user identity data in case the user data includes the user identity data;
if the bill information matched with the user identity data exists, acquiring the bill information matched with the user identity data;
and if the bill information matched with the user identity data does not exist, acquiring at least one piece of related bill information.
3. The method of claim 1, further comprising:
acquiring at least one piece of relevant ticket information under the condition that the user data does not include the user identity data;
and displaying the at least one piece of related bill information.
4. The method of claim 3, wherein said obtaining at least one relevant ticket information in the event that the user data does not include user identity data comprises:
acquiring input data of a user under the condition that the user data does not comprise user identity data;
based on input data of a user, at least one piece of related bill information associated with the input data is acquired.
5. The method of claim 3, wherein the obtaining at least one relevant ticket information associated with the input data based on the user's input data comprises:
determining whether there is related ticket information associated with the input data based on the input data of the user;
if the related bill information associated with the input data exists, acquiring the at least one piece of related bill information;
and if the related bill information associated with the input data does not exist, storing the input data.
6. The method of claim 1, further comprising:
generating image information based on the user's consumption data and/or the user identity data.
7. A data processing apparatus comprising:
the first acquisition module acquires image information;
the analysis module is used for analyzing the image information to obtain user data and determining whether the user data comprises user identity data;
the second acquisition module is used for acquiring bill information matched with the user identity data under the condition that the user data comprises the user identity data, wherein the bill information can be used for generating a bill voucher; and
and the first display module is used for displaying the bill information.
8. The apparatus of claim 7, wherein the obtaining ticket information matching the user identity data in the case that the user data comprises the user identity data comprises:
determining whether there is ticket information matching the user identity data in case the user data includes the user identity data;
if the bill information matched with the user identity data exists, acquiring the bill information matched with the user identity data;
and if the bill information matched with the user identity data does not exist, acquiring at least one piece of related bill information.
9. The apparatus of claim 7, further comprising:
the third acquisition module acquires at least one piece of related bill information under the condition that the user data does not include the user identity data;
and the second display module displays the at least one piece of related bill information.
10. The apparatus of claim 9, wherein said obtaining at least one relevant ticket information in the event that the user data does not include user identity data comprises:
acquiring input data of a user under the condition that the user data does not comprise user identity data;
based on input data of a user, at least one piece of related bill information associated with the input data is acquired.
11. The apparatus of claim 9, wherein the obtaining of the at least one relevant ticket information associated with the input data based on the user's input data comprises:
determining whether there is related ticket information associated with the input data based on the input data of the user;
if the related bill information associated with the input data exists, acquiring the at least one piece of related bill information;
and if the related bill information associated with the input data does not exist, storing the input data.
12. The apparatus of claim 7, further comprising:
a generating module for generating image information based on the consumption data of the user and/or the user identity data.
13. A data processing system comprising:
one or more processors;
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 of any of claims 1-6.
14. 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 one of claims 1 to 6.
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| CN113470189A (en) * | 2021-06-30 | 2021-10-01 | 北京市商汤科技开发有限公司 | Special effect display method and device, electronic equipment and storage medium |
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| CN113470189A (en) * | 2021-06-30 | 2021-10-01 | 北京市商汤科技开发有限公司 | Special effect display method and device, electronic equipment and storage medium |
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