CN111210324A - General invoice data processing method and system based on parallel computing - Google Patents
General invoice data processing method and system based on parallel computing Download PDFInfo
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- CN111210324A CN111210324A CN201911376491.9A CN201911376491A CN111210324A CN 111210324 A CN111210324 A CN 111210324A CN 201911376491 A CN201911376491 A CN 201911376491A CN 111210324 A CN111210324 A CN 111210324A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/10—Tax strategies
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2219—Large Object storage; Management thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24553—Query execution of query operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
Abstract
The invention discloses a general invoice data processing method and a system based on parallel computing, which comprises the following steps: acquiring main data information of an entry invoice; acquiring detailed data information of an entry invoice of an enterprise in a preset time period to complement the entry invoice data; acquiring sales invoice data of an invoicing platform through an invoicing software interface; carrying out standardization processing on the incoming invoice data and the outgoing invoice data according to a preset processing rule; and acquiring incoming invoice data and outgoing invoice data corresponding to the query request according to the query request of the enterprise, and feeding back the incoming invoice data and the outgoing invoice data to the enterprise terminal. According to the method, the invoice sales data and the invoice entry data of the enterprise are acquired by collecting the plurality of data channels, so that the data acquisition task of the whole system is completed together, the system acquisition efficiency is improved, and the system performance is improved; meanwhile, the provided query service can return 2000 pieces of structured data within 2 seconds, and invoice structured data can be conveniently and reliably provided for the user.
Description
Technical Field
The invention relates to the technical field of invoice data processing, in particular to a general invoice data processing method and system based on parallel computing.
Background
The invoice data is structured data, and has unique attributes compared with common data, and the invoice data is divided into value-added tax invoices and common invoices. And the bill surface forms are various, and the bill surface forms comprise value-added tax special invoices, value-added tax common invoices (including electronic common invoices and roll invoices), toll (including toll electronic common invoices), motor vehicle sales uniform invoices and the like. The face information has slight differences.
At present, many parallel computing models and frameworks are available for the open source community, and the open source community can be divided into several types according to an implementation mode, an operation mechanism, an attached product ecosphere and the like. The data processing framework can be divided into two types according to the classification of the processed data form and the timeliness of the obtained result: batch processing system, stream processing system. The batch process involves breaking up the task into smaller tasks, performing computations separately on each computer in the cluster, recombining the data based on the intermediate results, and then computing and combining the final results. Batch processing systems are most efficient when processing very large data sets. A typical batch processing system is Apache Hadoop. And the stream processing is to operate the data stream consisting of continuous single data items, and the timeliness of the data processing result is emphasized. Typical stream processing systems are Apache Storm and Apache samza.
There are also systems that have both batch and stream processing capabilities, referred to as hybrid processing systems, such as Apache Spark and Apache flush.
Because invoice data collection is not time sensitive, a lower cost Hadoop cluster can be used. The current Hadoop mainly comprises two frames including: the large-scale storage system HDFS provides highly reliable file storage on a cluster consisting of ordinary PCs, and solves the problem of server or hard disk breakage by saving blocks into a plurality of copies. The data is stored in a low-power consumption and high-performance mode, and the type and the reading speed of big data can be optimized; and a computing engine YARN, which can carry any number of program frameworks, the original framework is MR, and a programming model is provided through Mapper and Reducer abstraction, so that a large number of data sets can be processed in a concurrent and distributed manner on an unreliable cluster consisting of one or hundreds of PCs, and the computing details such as concurrency, distribution and fault recovery are hidden.
Disclosure of Invention
The invention provides a general invoice data processing method and system based on parallel computing, and aims to solve the problem of how to efficiently acquire general invoice data.
In order to solve the above problem, according to an aspect of the present invention, there is provided a parallel computing-based general invoice data processing method, the method including:
acquiring the main data information of the incoming invoice in parallel through an incoming invoice interface of a tax bureau side according to a preset time interval period;
acquiring detailed data information of an entry invoice of an enterprise in a preset time period through an inspection platform of a tax bureau side according to the taxpayer identification number of the enterprise, and integrating main data information and detailed data information of the entry invoice according to the tax number to complement the entry invoice data;
acquiring sales invoice data of an invoicing platform through an invoicing software interface;
standardizing the incoming invoice data and the sales invoice data according to preset processing rules to obtain standardized incoming invoice data and standardized sales invoice data;
and acquiring incoming invoice data and outgoing invoice data corresponding to the query request according to the query request of the enterprise, and feeding back the incoming invoice data and the outgoing invoice data to the enterprise terminal.
Preferably, the main information of the invoice comprises: invoice code, invoice number, invoicing date, seller tax number, seller name, amount, tax amount, invoice type and invoice status.
Preferably, wherein the method further comprises:
and when the incoming invoices are parallelly acquired, load balancing of multiple acquisition channels is realized through the load balancing equipment according to a preset load balancing strategy.
Preferably, the normalizing the incoming invoice data and the outgoing invoice data according to a preset processing rule includes:
and sequentially carrying out missing item checking processing, protocol conversion processing and data desensitization processing on the entry invoice data and the sales invoice data.
Preferably, wherein the method further comprises:
judging whether the enterprise enjoys the data acquisition permission of the enterprise to be inquired in the inquiry request; if the user enjoys the request, acquiring the incoming invoice data and the outgoing invoice data corresponding to the query request, and feeding back the incoming invoice data and the outgoing invoice data to the enterprise end; otherwise, the message indicating that the query is not allowed is fed back to the enterprise terminal.
According to another aspect of the present invention, there is provided a parallel computing-based general invoice data processing system, the system comprising:
the main data acquisition unit of the entry invoice is used for acquiring the main data information of the entry invoice in parallel through an entry invoice interface of a tax bureau end according to a preset time interval period;
the detail data acquisition unit of the entry invoice is used for acquiring the detail data information of the entry invoice of the enterprise in a preset time period through an inspection platform of a tax bureau side according to the taxpayer identification number of the enterprise, and integrating the main data information and the detail data information of the entry invoice according to the tax number so as to complete the entry invoice data;
the system comprises a sales invoice data acquisition unit, a billing platform and a billing software interface, wherein the sales invoice data acquisition unit is used for acquiring sales invoice data of the billing platform through the billing software interface;
the invoice data processing unit is used for carrying out standardized processing on the incoming invoice data and the sales invoice data according to a preset processing rule so as to obtain standardized incoming invoice data and standardized sales invoice data;
and the invoice data query unit is used for acquiring the incoming invoice data and the outgoing invoice data corresponding to the query request according to the query request of the enterprise and feeding back the incoming invoice data and the outgoing invoice data to the enterprise terminal.
Preferably, the main information of the invoice comprises: invoice code, invoice number, invoicing date, seller tax number, seller name, amount, tax amount, invoice type and invoice status.
Preferably, the main data acquiring unit of the entry invoice further comprises:
and when the incoming invoices are parallelly acquired, load balancing of multiple acquisition channels is realized through the load balancing equipment according to a preset load balancing strategy.
Preferably, the invoice data processing unit standardizes the incoming invoice data and the outgoing invoice data according to a preset processing rule, and includes:
and sequentially carrying out missing item checking processing, protocol conversion processing and data desensitization processing on the entry invoice data and the sales invoice data.
Preferably, wherein said further comprises:
the authority verification unit is used for judging whether the enterprise enjoys the data acquisition authority of the enterprise to be inquired in the inquiry request; if the user enjoys the request, acquiring the incoming invoice data and the outgoing invoice data corresponding to the query request, and feeding back the incoming invoice data and the outgoing invoice data to the enterprise end; otherwise, the message indicating that the query is not allowed is fed back to the enterprise terminal.
The invention provides a general invoice data processing method and a system based on parallel computing, which comprises the following steps: acquiring main data information of an entry invoice; acquiring detailed data information of an entry invoice of an enterprise in a preset time period to complement the entry invoice data; acquiring sales invoice data of an invoicing platform through an invoicing software interface; carrying out standardization processing on the incoming invoice data and the outgoing invoice data according to a preset processing rule; and acquiring incoming invoice data and outgoing invoice data corresponding to the query request according to the query request of the enterprise, and feeding back the incoming invoice data and the outgoing invoice data to the enterprise terminal. According to the method, the data acquisition tasks of the whole system are completed together by collecting the plurality of data channels to acquire the invoice sales data and the input data of the enterprise, so that the design requirements of acquiring the full invoice data of sales invoices and input invoices by the enterprise can be met, the acquisition efficiency of the system can be improved, and the system performance is improved; meanwhile, the provided query service can return 2000 pieces of structured data within 2 seconds, and invoice structured data can be conveniently and reliably provided for the user.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
FIG. 1 is a flow diagram of a parallel computing based general invoice data processing method 100, according to an embodiment of the invention;
FIG. 2 is a flow diagram of general invoice data collection according to an embodiment of the invention; and
FIG. 3 is a block diagram of a general invoice data processing system 300 based on parallel computing according to an embodiment of the invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
FIG. 1 is a flow chart of a method 100 for parallel computing based general invoice data processing according to an embodiment of the invention. As shown in fig. 1, in the general invoice data processing method based on parallel computing according to the embodiment of the present invention, a plurality of data channels are collected to acquire invoice sales data and invoice entry data of an enterprise, so as to collectively complete a data acquisition task of the whole system, which not only can meet design requirements of acquiring sales invoice and invoice entry full-face data of the enterprise, but also can improve system acquisition efficiency, thereby improving system performance; meanwhile, the provided query service can return 2000 pieces of structured data within 2 seconds, and invoice structured data can be conveniently and reliably provided for the user. The general invoice data processing method 100 based on parallel computing provided by the embodiment of the invention starts from step 101, and in step 101, the main data information of an incoming invoice is acquired through an incoming invoice interface at a tax bureau side in parallel according to a preset time interval period.
Preferably, the main information of the invoice comprises: invoice code, invoice number, invoicing date, seller tax number, seller name, amount, tax amount, invoice type and invoice status.
Preferably, wherein the method further comprises:
and when the incoming invoices are parallelly acquired, load balancing of multiple acquisition channels is realized through the load balancing equipment according to a preset load balancing strategy.
In the embodiment of the invention, the time interval period of the incoming invoice data acquisition is set, and during parallel acquisition, the load balance of multiple acquisition channels is realized through the load balance equipment. For example, it may be set to collect every 6 hours. When the entry invoice data are collected each time, load balancing is achieved through the Nginx, and the invoice data are collected quickly.
In step 102, according to the taxpayer identification number of the enterprise, detailed data information of an entry invoice of the enterprise in a preset time period is obtained through an inspection platform of a tax bureau side, and main data information and the detailed data information of the entry invoice are integrated according to the tax number so as to complete the entry invoice data.
In the embodiment of the invention, after the entry invoice data is acquired, aiming at the invoice data of each enterprise, a designed calculation engine is utilized according to the tax number, the invoice detail data in a period of time is acquired through an inspection platform of a tax bureau side, and the invoice detail data is completed according to the tax number, so that complete invoice data is acquired.
In step 103, acquiring the invoice data of the invoice platform through the invoice software interface.
In step 104, the incoming invoice data and the sales invoice data are standardized according to preset processing rules to obtain standardized incoming invoice data and standardized sales invoice data.
Preferably, the normalizing the incoming invoice data and the outgoing invoice data according to a preset processing rule includes:
and sequentially carrying out missing item checking processing, protocol conversion processing and data desensitization processing on the entry invoice data and the sales invoice data.
In the implementation mode of the invention, the acquired entry data and the acquired invoice data of the sales items are subjected to item missing check processing through the set rule engine, format conversion is carried out through the protocol converter, and sensitive data are processed through a data desensitization method so as to acquire unified standardized invoice data and store the unified invoice data.
In step 105, entry invoice data and sale invoice data corresponding to the query request are obtained according to the query request of the enterprise and fed back to the enterprise terminal.
Preferably, wherein the method further comprises:
judging whether the enterprise enjoys the data acquisition permission of the enterprise to be inquired in the inquiry request; if the user enjoys the request, acquiring the incoming invoice data and the outgoing invoice data corresponding to the query request, and feeding back the incoming invoice data and the outgoing invoice data to the enterprise end; otherwise, the message indicating that the query is not allowed is fed back to the enterprise terminal.
In the embodiment of the invention, the data acquisition permission of an enterprise can be set, and after the query request of a certain enterprise is acquired, permission checking is firstly carried out. Specifically, whether the enterprise enjoys the data acquisition authority of the enterprise to be queried in the query request is judged, if so, the entry invoice data and the sale invoice data corresponding to the query request are acquired, the query result is rapidly merged through a computing engine, and an enterprise information management system is connected or structured data are directly derived for use by an enterprise terminal. Otherwise, if the enterprise is determined not to enjoy the data acquisition permission of the enterprise to be queried in the query request, feeding back a message indicating that the query is not allowed to the enterprise terminal.
FIG. 2 is a flow chart of general invoice data collection according to an embodiment of the invention. As shown in fig. 2, the general invoice data collection process of the embodiment of the present invention includes: acquiring the main information of the incoming invoice from the tax bureau entry interface according to the timing task, and acquiring and completing invoice detail data of each enterprise by using a calculation engine according to the tax number and the invoice data of each enterprise through an inspection platform; collecting data of invoicing software, acquiring sales invoice data, and uploading in batches; processing the acquired incoming invoice data and the acquired outgoing invoice data according to the rule engine to acquire invoice data; and finally, inquiring the invoice data through an invoice inquiry interface by the enterprise.
FIG. 3 is a block diagram of a general invoice data processing system 300 based on parallel computing according to an embodiment of the invention. As shown in fig. 3, the general invoice data processing system 300 based on parallel computing provided by the embodiment of the invention includes: the system comprises an incoming invoice main data acquisition unit 301, an incoming invoice detail data acquisition unit 302, a sales invoice data acquisition unit 303, an invoice data processing unit 304 and an invoice data query unit 305.
Preferably, the main data acquiring unit 301 of the entry invoice is configured to acquire the main data information of the entry invoice in parallel through an entry invoice interface at a tax bureau end according to a preset time interval cycle.
Preferably, the main information of the invoice comprises: invoice code, invoice number, invoicing date, seller tax number, seller name, amount, tax amount, invoice type and invoice status.
Preferably, the main data acquiring unit 301 of the entry invoice further includes:
and when the incoming invoices are parallelly acquired, load balancing of multiple acquisition channels is realized through the load balancing equipment according to a preset load balancing strategy.
Preferably, the detail data obtaining unit 302 of the entry invoice is configured to obtain, according to the taxpayer identification number of the enterprise, the detail data information of the entry invoice of the enterprise in a preset time period through an inspection platform of a tax bureau side, and integrate the main data information and the detail data information of the entry invoice according to a tax number to complete the entry invoice data.
Preferably, the invoice data acquiring unit 303 is configured to acquire invoice data of an invoicing platform through an invoicing software interface.
Preferably, the invoice data processing unit 304 is configured to perform standardization processing on the incoming invoice data and the outgoing invoice data according to preset processing rules to obtain standardized incoming invoice data and standardized outgoing invoice data.
Preferably, the invoice data processing unit 304, standardizes the incoming invoice data and the outgoing invoice data according to a preset processing rule, and includes:
and sequentially carrying out missing item checking processing, protocol conversion processing and data desensitization processing on the entry invoice data and the sales invoice data.
Preferably, the invoice data query unit 305 is configured to obtain entry invoice data and sale invoice data corresponding to the query request according to the query request of the enterprise, and feed back the entry invoice data and the sale invoice data to the enterprise terminal.
Preferably, wherein said further comprises: the authority verification unit is used for judging whether the enterprise enjoys the data acquisition authority of the enterprise to be inquired in the inquiry request; if the user enjoys the request, acquiring the incoming invoice data and the outgoing invoice data corresponding to the query request, and feeding back the incoming invoice data and the outgoing invoice data to the enterprise end; otherwise, the message indicating that the query is not allowed is fed back to the enterprise terminal.
The general invoice data processing system 300 based on parallel computing according to the embodiment of the present invention corresponds to the general invoice data processing system method 100 based on parallel computing according to another embodiment of the present invention, and the details are not repeated herein.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A general invoice data processing method based on parallel computing is characterized by comprising the following steps:
acquiring the main data information of the incoming invoice in parallel through an incoming invoice interface of a tax bureau side according to a preset time interval period;
acquiring detailed data information of an entry invoice of an enterprise in a preset time period through an inspection platform of a tax bureau side according to the taxpayer identification number of the enterprise, and integrating main data information and detailed data information of the entry invoice according to the tax number to complement the entry invoice data;
acquiring sales invoice data of an invoicing platform through an invoicing software interface;
standardizing the incoming invoice data and the sales invoice data according to preset processing rules to obtain standardized incoming invoice data and standardized sales invoice data;
and acquiring incoming invoice data and outgoing invoice data corresponding to the query request according to the query request of the enterprise, and feeding back the incoming invoice data and the outgoing invoice data to the enterprise terminal.
2. The method of claim 1, wherein the primary information of the invoice comprises: invoice code, invoice number, invoicing date, seller tax number, seller name, amount, tax amount, invoice type and invoice status.
3. The method of claim 1, further comprising:
and when the incoming invoices are parallelly acquired, load balancing of multiple acquisition channels is realized through the load balancing equipment according to a preset load balancing strategy.
4. The method according to claim 1, wherein the normalizing the incoming invoice data and the outgoing invoice data according to preset processing rules comprises:
and sequentially carrying out missing item checking processing, protocol conversion processing and data desensitization processing on the entry invoice data and the sales invoice data.
5. The method of claim 1, further comprising:
judging whether the enterprise enjoys the data acquisition permission of the enterprise to be inquired in the inquiry request; if the user enjoys the request, acquiring the incoming invoice data and the outgoing invoice data corresponding to the query request, and feeding back the incoming invoice data and the outgoing invoice data to the enterprise end; otherwise, the message indicating that the query is not allowed is fed back to the enterprise terminal.
6. A parallel computing based general invoice data processing system, the system comprising:
the main data acquisition unit of the entry invoice is used for acquiring the main data information of the entry invoice in parallel through an entry invoice interface of a tax bureau end according to a preset time interval period;
the detail data acquisition unit of the entry invoice is used for acquiring the detail data information of the entry invoice of the enterprise in a preset time period through an inspection platform of a tax bureau side according to the taxpayer identification number of the enterprise, and integrating the main data information and the detail data information of the entry invoice according to the tax number so as to complete the entry invoice data;
the system comprises a sales invoice data acquisition unit, a billing platform and a billing software interface, wherein the sales invoice data acquisition unit is used for acquiring sales invoice data of the billing platform through the billing software interface;
the invoice data processing unit is used for carrying out standardized processing on the incoming invoice data and the sales invoice data according to a preset processing rule so as to obtain standardized incoming invoice data and standardized sales invoice data;
and the invoice data query unit is used for acquiring the incoming invoice data and the outgoing invoice data corresponding to the query request according to the query request of the enterprise and feeding back the incoming invoice data and the outgoing invoice data to the enterprise terminal.
7. The system of claim 6, wherein the master information of the invoice comprises: invoice code, invoice number, invoicing date, seller tax number, seller name, amount, tax amount, invoice type and invoice status.
8. The system of claim 6, wherein the primary data acquisition unit of the incoming invoice further comprises:
and when the incoming invoices are parallelly acquired, load balancing of multiple acquisition channels is realized through the load balancing equipment according to a preset load balancing strategy.
9. The system according to claim 6, wherein the invoice data processing unit standardizes the incoming invoice data and the outgoing invoice data according to preset processing rules, and comprises:
and sequentially carrying out missing item checking processing, protocol conversion processing and data desensitization processing on the entry invoice data and the sales invoice data.
10. The system of claim 6, further comprising:
the authority verification unit is used for judging whether the enterprise enjoys the data acquisition authority of the enterprise to be inquired in the inquiry request; if the user enjoys the request, acquiring the incoming invoice data and the outgoing invoice data corresponding to the query request, and feeding back the incoming invoice data and the outgoing invoice data to the enterprise end; otherwise, the message indicating that the query is not allowed is fed back to the enterprise terminal.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112508670A (en) * | 2020-12-15 | 2021-03-16 | 航天信息股份有限公司企业服务分公司 | Method and system for realizing integration of finance and tax of management software |
| CN113435991A (en) * | 2021-07-22 | 2021-09-24 | 大象慧云信息科技(江苏)有限公司 | Electronic invoice data processing method and device, electronic equipment and readable medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020116334A1 (en) * | 2001-02-22 | 2002-08-22 | International Business Machines Corporation | Invoice processing system |
| CN202600825U (en) * | 2011-12-08 | 2012-12-12 | 航天信息股份有限公司 | Desktop apparatus for examining invoice |
| CN104424595A (en) * | 2013-09-04 | 2015-03-18 | 航天信息股份有限公司 | Tax administration monitoring method and tax administration monitoring system thereof |
| CN104700294A (en) * | 2013-12-04 | 2015-06-10 | 航天信息股份有限公司 | Distributed invoice management system for large enterprises |
| CN105096172A (en) * | 2015-06-12 | 2015-11-25 | 北京京东尚科信息技术有限公司 | Electronic invoice generating and processing method and system based on e-commerce platform |
| CN108280698A (en) * | 2018-01-19 | 2018-07-13 | 大象慧云信息技术有限公司 | A kind of self-defined sort management method of invoice and system |
| CN108596750A (en) * | 2018-05-09 | 2018-09-28 | 西安交通大学 | A kind of invoice voiding recognition methods based on parallel association rules |
| CN109859021A (en) * | 2018-11-28 | 2019-06-07 | 北京轻赢数据科技有限公司 | Generate the method, apparatus and computer storage medium of bookkeeping voucher |
| CN110335133A (en) * | 2019-07-15 | 2019-10-15 | 中国工商银行股份有限公司 | Processing method, system, electronic equipment and the storage medium of transaction data |
-
2019
- 2019-12-27 CN CN201911376491.9A patent/CN111210324A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020116334A1 (en) * | 2001-02-22 | 2002-08-22 | International Business Machines Corporation | Invoice processing system |
| CN202600825U (en) * | 2011-12-08 | 2012-12-12 | 航天信息股份有限公司 | Desktop apparatus for examining invoice |
| CN104424595A (en) * | 2013-09-04 | 2015-03-18 | 航天信息股份有限公司 | Tax administration monitoring method and tax administration monitoring system thereof |
| CN104700294A (en) * | 2013-12-04 | 2015-06-10 | 航天信息股份有限公司 | Distributed invoice management system for large enterprises |
| CN105096172A (en) * | 2015-06-12 | 2015-11-25 | 北京京东尚科信息技术有限公司 | Electronic invoice generating and processing method and system based on e-commerce platform |
| CN108280698A (en) * | 2018-01-19 | 2018-07-13 | 大象慧云信息技术有限公司 | A kind of self-defined sort management method of invoice and system |
| CN108596750A (en) * | 2018-05-09 | 2018-09-28 | 西安交通大学 | A kind of invoice voiding recognition methods based on parallel association rules |
| CN109859021A (en) * | 2018-11-28 | 2019-06-07 | 北京轻赢数据科技有限公司 | Generate the method, apparatus and computer storage medium of bookkeeping voucher |
| CN110335133A (en) * | 2019-07-15 | 2019-10-15 | 中国工商银行股份有限公司 | Processing method, system, electronic equipment and the storage medium of transaction data |
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| CN112508670A (en) * | 2020-12-15 | 2021-03-16 | 航天信息股份有限公司企业服务分公司 | Method and system for realizing integration of finance and tax of management software |
| CN113435991A (en) * | 2021-07-22 | 2021-09-24 | 大象慧云信息科技(江苏)有限公司 | Electronic invoice data processing method and device, electronic equipment and readable medium |
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