CN115909586A - Method and system for checking authenticity of value-added tax invoice based on intelligent process robot - Google Patents
Method and system for checking authenticity of value-added tax invoice based on intelligent process robot Download PDFInfo
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Abstract
The invention provides a method and a system for checking the authenticity of a value-added tax invoice based on an intelligent process robot, wherein the method comprises the following steps: step S1: the invoice information to be checked is sent to a robot management server, and the robot management server starts an intelligent process robot to automatically recognize the invoice information to obtain invoice authenticity information and invoice surface information; step S2: and logging in a value-added tax invoice inspection platform of the national tax administration by using the intelligent process robot to perform invoice-adding inspection and perform image filing. The invention utilizes the characteristic that the process robot can replace manual work to carry out mechanized operation and the capability that the optical character recognition technology can recognize key information from the image file, realizes the automation of the business process of the authenticity check of the value-added tax invoice, has the characteristics of uninterrupted work, exception handling, check and recheck and the like, and can greatly improve the working efficiency and the accuracy.
Description
Technical Field
The invention relates to the technical field of invoice management, in particular to a value-added tax invoice authenticity checking method and system based on an intelligent process robot.
Background
The bill business becomes a main channel for enterprises to solve the fund shortage with higher liquidity and stable income, and is also an important promoter for the profit increase of each financial institution. The bank industry needs to check the authenticity of value-added tax invoices in self business such as paying and other processes because of the important position of the bank industry in the financial industry, and how to quickly and accurately finish the authenticity check of a large batch of invoices becomes a big pain point of the bill business because the bank bill has huge business volume and is mostly electronic images in the forms of photographing, scanning and the like.
Patent document CN111105548B (application number: 201911284182.9) discloses a batch checking device and method for value-added tax special invoices, which belong to the technical field of invoice management and solve the problems of low checking efficiency, high error rate and the like of the existing device. The method comprises the following steps: the system comprises an invoice storage unit, an invoice scanning unit, an invoice information confirmation unit and an invoice checking unit; the invoice checking unit is used for receiving the invoice information output by the invoice scanning unit and/or the invoice information confirming unit, calling corresponding information of an invoice pool or a tax system, and performing authenticity checking through comparison to obtain and record authenticity checking results.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a value-added tax invoice authenticity checking method and system based on an intelligent process robot.
The invention provides a value-added tax invoice authenticity checking method based on an intelligent process robot, which comprises the following steps:
step S1: sending invoice information to be checked to a robot management server, starting an intelligent process robot by the robot management server to automatically recognize the invoice information, and acquiring invoice authenticity information and invoice surface information;
step S2: and logging in a value-added tax invoice inspection platform of the national tax administration by using the intelligent process robot to perform invoice-added inspection and image file-keeping.
Preferably, the intelligent process robot reads the computer configuration information, including: the method comprises the following steps of (1) operating system time of a computer, a computer running environment and a computer hard disk file directory; the intelligent process robot can be ensured to normally run through the computer running environment and the reading of the computer hard disk file directory; the operation safety of the intelligent process robot is ensured by reading the time of the computer operating system.
Preferably, the step S1 employs:
step S1.1: sending invoice information to be checked to a robot management server, starting an intelligent flow robot by the robot management server, and acquiring a task number list to be checked from the robot management server by the intelligent flow robot;
step S1.2: the intelligent process robot acquires corresponding value-added tax invoice information from the robot management server according to the task number, and judges that the current value-added tax invoice information is a value-added tax invoice image or an invoice four-element text;
step S1.3: when the current value-added tax invoice information is a value-added tax invoice image, acquiring an invoice four-element text of the image by using an optical character recognition technology;
step S1.4: the intelligent process robot inquires whether the current value-added tax invoice information is true through the invoice four-element text, and when the invoice information is true, the invoice face information of the invoice is obtained.
Preferably, the invoice face information includes: invoice number, invoice code, invoicing date, check code, tax free amount, tax containing amount, machine code, invoice status, historical check times, seller issuer information, seller issuer account number, seller address, seller telephone number, seller name, seller tax number, buyer issuer information, buyer issuer account number, buyer address, buyer telephone number, and buyer tax number information on the invoice surface.
Preferably, the step S2 employs:
step S2.1: the intelligent process robot automatically logs in and visits a value-added tax invoice checking platform of the national tax administration, and simulates manual work to automatically fill corresponding contents in a corresponding selection frame of a webpage for checking based on the acquired invoice face information, so as to acquire a checking result of current invoice information and execute screenshot operation to acquire an image;
step S2.2: and the intelligent process robot sends the obtained invoice detail surface information and the inspection result image to the data management server for storage.
Preferably, said step S2.1 employs:
step S2.1.1: the intelligent process robot accesses the homepage of the national tax administration value-added tax invoice checking platform, automatically and sequentially fills invoice codes and invoice numbers in corresponding selection frames, simulates and manually clicks the invoicing date of the value-added tax invoice in a popped calendar after the invoice codes and the invoice numbers are successfully recorded, if the invoice type of the invoice is identified to be a common invoice, the process robot fills the check code of the invoice in the last item popped by the national tax administration value-added tax invoice checking platform, and if the invoice type of the invoice is identified to be a special invoice, the process robot fills the check code without tax amount;
step S2.1.2: after clicking the checking button, the flow robot intelligently identifies the states of the invoice inquired by the invoice information, namely the real invoice, the invalidated invoice, the nonexistence of the invoice and the inconsistent invoice information by using an AI technology, and carries out different treatment according to the four different states;
step S2.1.3: if the invoice state identified by the process robot is a true invoice, the process robot acquires information fed back by a value-added tax invoice checking platform of the State tax administration, automatically converts the information into a PDF image and stores the PDF image, if the types of commodities contained in the invoice face are excessive, automatically and independently lists information such as the types, the quantities, the tax amounts and the like of the commodities for checking, and independently stores specific information of the invoice face into a single page convenient to check;
step S2.1.4: if the invoice identified by the process robot is a voided invoice, the process robot takes the information fed back by the value-added tax invoice checking platform of the State tax administration, automatically converts the information into a PDF image, prints 'voided' characters on the invoice image and stores the characters;
step S2.1.5: if the invoice identified by the process robot is in the state that the invoice does not exist, the process robot generates a feedback image by combining the four-element information of the invoice and directly prints a message that the invoice does not exist on the image;
step S2.1.6: if the invoice status identified by the process robot is inconsistent with the invoice information, the process robot generates a feedback image by combining the four element information of the invoice and directly prints out the information of the inconsistent invoice information on the image.
The invention provides a value-added tax invoice authenticity checking system based on an intelligent process robot, which comprises:
a module M1: the invoice information to be checked is sent to a robot management server, and the robot management server starts an intelligent process robot to automatically recognize the invoice information to obtain invoice authenticity information and invoice surface information;
a module M2: and logging in a value-added tax invoice inspection platform of the national tax administration by using the intelligent process robot to perform invoice-adding inspection and perform image filing.
Preferably, the module M1 employs:
module M1.1: sending invoice information to be checked to a robot management server, starting an intelligent flow robot by the robot management server, and acquiring a task number list to be checked from the robot management server by the intelligent flow robot;
module M1.2: the intelligent process robot acquires corresponding value-added tax invoice information from the robot management server according to the task number, and judges that the current value-added tax invoice information is a value-added tax invoice image or an invoice four-element text;
module M1.3: when the current value-added tax invoice information is a value-added tax invoice image, acquiring an invoice four-element text of the image by using an optical character recognition technology;
module M1.4: the intelligent process robot inquires whether the current value-added tax invoice information is true through the invoice four-element text, and when the invoice information is true, the invoice face information of the invoice is obtained.
Preferably, the invoice face information includes: invoice number, invoice code, invoicing date, check code, tax free amount, tax containing amount, machine code, invoice status, historical check times, seller issuer information, seller issuer account number, seller address, seller telephone number, seller name, seller tax number, buyer issuer information, buyer issuer account number, buyer address, buyer telephone number, and buyer tax number information on the invoice surface.
Preferably, the module M2 employs:
module M2.1: the intelligent process robot automatically logs in and visits a value-added tax invoice checking platform of the national tax administration, and simulates manual work to automatically fill corresponding contents in a corresponding selection frame of a webpage for checking based on the acquired invoice face information, so as to acquire a checking result of current invoice information and execute screenshot operation to acquire an image;
module M2.2: and the intelligent flow robot sends the obtained detailed invoice surface information and the inspection result image of the invoice to the data management server for storage.
Preferably, said module M2.1 employs:
module m2.1.1: the intelligent process robot accesses the homepage of the national tax administration value-added tax invoice checking platform, automatically and sequentially fills invoice codes and invoice numbers in corresponding selection frames, simulates and manually clicks the invoicing date of the value-added tax invoice in a popped calendar after the invoice codes and the invoice numbers are successfully recorded, if the invoice type of the invoice is identified to be a common invoice, the process robot fills the check code of the invoice in the last item popped by the national tax administration value-added tax invoice checking platform, and if the invoice type of the invoice is identified to be a special invoice, the process robot fills the check code without tax amount;
module m2.1.2: after clicking the checking button, the flow robot intelligently identifies the states of the invoice inquired by the invoice information, namely the real invoice, the invalidated invoice, the nonexistence of the invoice and the inconsistent invoice information by using an AI technology, and carries out different treatment according to the four different states;
module m2.1.3: if the invoice state identified by the process robot is a true invoice, the process robot acquires information fed back by a value-added tax invoice checking platform of the State tax administration, automatically converts the information into a PDF image and stores the PDF image, if the types of commodities contained in the invoice face are excessive, automatically and independently lists information such as the types, the quantities, the tax amounts and the like of the commodities for checking, and independently stores specific information of the invoice face into a single page convenient to check;
module m2.1.4: if the invoice state identified by the process robot is a waste invoice, the process robot takes information fed back by a value-added tax invoice inspection platform of the State tax administration, automatically converts the information into a PDF image, prints a waste character on the invoice image and stores the waste character;
module m2.1.5: if the invoice identified by the process robot is in the state of nonexistence, the process robot generates a feedback image by combining the four-element information of the invoice and directly prints a nonexistence invoice message on the image;
module m2.1.6: if the invoice status identified by the process robot is inconsistent with the invoice information, the process robot generates a feedback image by combining the four element information of the invoice and directly prints out the information of the inconsistent invoice information on the image.
Compared with the prior art, the invention has the following beneficial effects: the invention utilizes the characteristic that the process robot can replace manual work to carry out mechanized operation and the capability that the optical character recognition technology can recognize key information from the image file, realizes the automation of the business process of the authenticity check of the value-added tax invoice, has the characteristics of uninterrupted work, exception handling, check and recheck and the like, and can greatly improve the working efficiency and the accuracy.
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Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
fig. 1 is a flow chart of a value-added tax invoice authenticity checking method based on an intelligent flow robot.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
Example 1
The invention provides a method and a system for checking the authenticity of a value-added tax invoice based on an intelligent process robot, which utilize the characteristics that the process robot can replace manual work to carry out mechanical operation and the capability that key information can be identified from an image file by an optical character identification technology, realize the automation of the business process of checking the authenticity of the value-added tax invoice, have the characteristics of uninterrupted work, exception handling, check and recheck and the like, and can greatly improve the working efficiency and the accuracy: the service personnel can send the invoice information to be checked to the robot management server through desktop software interaction, the server automatically starts an intelligent process robot program, the program automatically performs optical character recognition on the acquired invoice information, acquires the invoice authenticity information, acquires invoice face information, logs in a value-added tax invoice checking platform of the State tax administration for invoice adding checking and image retention.
According to the value-added tax invoice authenticity checking method based on the intelligent process robot, as shown in fig. 1, the method comprises the following steps:
step 1: starting a main program of the flow robot and initializing parameters;
and 2, step: the process robot reads relevant configuration such as system time, operating environment, file directory and the like, and obtains a task number list to be checked from a robot management server queue;
and step 3: the process robot judges whether the task number list to be inspected is completely processed, if not, the step 4 is executed, and if the processing is completed, the step 10 is executed;
step 4, the process robot acquires the related data of the value-added tax invoice from the database obtained by the data management server by using the task number;
step 5, the process robot judges whether the obtained value-added tax invoice information is a value-added tax invoice image or an invoice four-element text, if the obtained value-added tax invoice information is the value-added tax invoice image, the step 6 is executed, and if the obtained value-added tax invoice information is the invoice four-element text, the step 7 is executed;
and 6: the flow robot acquires the four-element text of the invoice in the image by using an optical character recognition technology on the image of the value-added tax invoice;
and 7: the process robot inquires whether the value-added tax invoice information is true through an invoice four-element text, and if the invoice is true, the process robot acquires information such as an invoice number, an invoice code, an invoicing date, a check code, a tax free amount, a tax containing amount, a machine code, an invoice state, historical checking times, seller's issuer information, a seller's issuer account, a seller's address, a seller's telephone, a seller's name, a seller's tax number, a buyer's issuer information, a buyer's issuer account, a buyer's address, a buyer's telephone, a buyer's name, a buyer's tax number and the like on the invoice surface;
and 8: the process robot automatically logs in and accesses a value added tax invoice inspection platform of the national tax administration, the robot simulates manual work to fill four elements of the invoice in a webpage selection frame and inspect the invoice, the invoice information is obtained to obtain an inspection result, and screenshot operation is executed to obtain an image;
and step 9: the flow robot sends the detailed invoice information obtained in the step 7 and the value-added tax invoice checking platform certificate obtained in the step 8 to a data management server for storage;
step 10: the data management server returns the checking result to the requirement initiator and informs the service department that the checking work of the value added tax invoice is finished;
the step 8 comprises the following steps:
step 8.1: the process robot accesses the homepage of the national tax administration value-added tax invoice checking platform, automatically and sequentially fills invoice codes and invoice numbers in corresponding selection frames, simulates and manually clicks the invoicing date of the value-added tax invoice in a popped calendar after the invoice codes and the invoice numbers are successfully recorded, fills the check code of the invoice in the last item popped by the national tax administration value-added tax invoice checking platform if the invoice type of the invoice is identified to be a common invoice in the step 5, and fills the non-tax amount if the invoice type of the invoice is identified to be a special invoice in the step 5;
step 8.2: after clicking the checking button, the flow robot intelligently identifies the states of the invoice inquired by the invoice information, namely the real invoice, the invalidated invoice, the nonexistence of the invoice and the inconsistent invoice information by using an AI technology, and carries out different treatment according to the four different states;
step 8.3: if the invoice state identified by the process robot is a true invoice, the process robot acquires information fed back by a value-added tax invoice checking platform of the State tax administration, automatically converts the information into a PDF image and stores the PDF image, if the types of commodities contained in the invoice face are excessive, automatically and independently lists information such as the types, the quantities, the tax amounts and the like of the commodities for checking, and independently stores specific information of the invoice face into a single page convenient to check;
step 8.4: if the invoice identified by the process robot is a voided invoice, the process robot takes the information fed back by the value-added tax invoice checking platform of the State tax administration, automatically converts the information into a PDF image, prints 'voided' characters on the invoice image and stores the characters;
step 8.5: if the invoice identified by the process robot is in an invoice absence state, the process robot generates a feedback image (which specific information in the invoice four-element information does not exist) by combining the invoice four-element information and directly prints an invoice absence message on the image;
step 8.6: if the invoice status identified by the process robot is inconsistent with the invoice information, the process robot generates a feedback image (which specific information in the invoice four-element information is inconsistent) by combining the invoice four-element information and directly prints out the information of the inconsistent invoice information on the image.
The invention provides a value-added tax invoice authenticity checking system based on an intelligent process robot, which comprises:
module 1: starting a main program of the process robot and initializing parameters;
and (3) module 2: the process robot reads relevant configuration such as system time, operating environment, file directory and the like, and obtains a task number list to be checked from a robot management server queue;
and a module 3: the process robot judges whether the task number list to be inspected is completely processed, if not, the module 4 is executed, and if the processing is completed, the module 10 is executed;
the process robot acquires the relevant data of the value-added tax invoice from the database of the data management server by using the task number;
the process robot judges whether the obtained value-added tax invoice information is a value-added tax invoice image or an invoice four-element text, if the obtained value-added tax invoice information is the value-added tax invoice image, the process robot executes a module 6, and if the obtained value-added tax invoice information is the invoice four-element text, the process robot executes a module 7;
and a module 6: the flow robot acquires the four-element text of the invoice in the image by using an optical character recognition technology on the image of the value-added tax invoice;
and a module 7: the process robot inquires whether the value-added tax invoice information is true through an invoice four-element text, and if the invoice is true, the process robot acquires information such as an invoice number, an invoice code, an invoicing date, a check code, a tax free amount, a tax containing amount, a machine code, an invoice state, historical checking times, seller's issuer information, a seller's issuer account, a seller's address, a seller's telephone, a seller's name, a seller's tax number, a buyer's issuer information, a buyer's issuer account, a buyer's address, a buyer's telephone, a buyer's name, a buyer's tax number and the like on the invoice surface;
and a module 8: the method comprises the following steps that a process robot automatically logs in and visits a value-added tax invoice checking platform of the national tax administration, the robot simulates manual work to fill four invoice elements in a webpage selection frame and check the invoice, and obtains invoice information to obtain a checking result and executes screenshot operation to obtain an image;
and a module 9: the flow robot sends the detailed invoice information obtained by the module 7 and the document of the national tax administration value-added tax invoice inspection platform obtained by the module 8 to a data management server for storage;
the module 10: the data management server returns the checking result to the requirement initiator and informs the service department that the checking work of the value added tax invoice is finished;
the module 8 comprises the following modules:
module 8.1: the process robot accesses the homepage of the national tax administration value-added tax invoice checking platform, automatically and sequentially fills an invoice code and an invoice number in a corresponding selection frame, simulates and manually clicks the invoicing date of the value-added tax invoice in a popped calendar after the invoice code and the invoice number are successfully recorded, fills the check code of the invoice in the last item popped by the national tax administration value-added tax invoice checking platform if the invoice type of the invoice is identified to be a common invoice in the module 5, and fills the non-tax amount if the invoice type of the invoice is identified to be a special invoice in the module 5;
module 8.2: after clicking the check button, the flow robot intelligently identifies that the invoice states inquired by the invoice information are four states of true invoice, obsolete invoice, invoice absence and inconsistent invoice information by using an AI technology, and carries out different treatment according to the four different states;
module 8.3: if the invoice state identified by the process robot is a true invoice, the process robot acquires information fed back by a value-added tax invoice checking platform of the State tax administration, automatically converts the information into a PDF image and stores the PDF image, if the types of commodities contained in the invoice face are excessive, automatically and independently lists information such as the types, the quantities, the tax amounts and the like of the commodities for checking, and independently stores specific information of the invoice face into a single page convenient to check;
module 8.4: if the invoice identified by the process robot is a voided invoice, the process robot takes the information fed back by the value-added tax invoice checking platform of the State tax administration, automatically converts the information into a PDF image, prints 'voided' characters on the invoice image and stores the characters;
module 8.5: if the invoice identified by the process robot is in an invoice absence state, the process robot generates a feedback image (which specific information in the invoice four-element information does not exist) by combining the invoice four-element information and directly prints an invoice absence message on the image;
module 8.6: if the invoice status identified by the process robot is inconsistent with the invoice information, the process robot generates a feedback image (which specific information in the invoice four-element information is inconsistent) by combining the invoice four-element information and directly prints out the information of the inconsistent invoice information on the image.
Those skilled in the art will appreciate that, in addition to implementing the systems, apparatus, and various modules thereof provided by the present invention in purely computer readable program code, the same procedures can be implemented entirely by logically programming method steps such that the systems, apparatus, and various modules thereof are provided in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system, the device and the modules thereof provided by the present invention can be considered as a hardware component, and the modules included in the system, the device and the modules thereof for implementing various programs can also be considered as structures in the hardware component; modules for performing various functions may also be considered to be both software programs for performing the methods and structures within hardware components.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. A value-added tax invoice authenticity checking method based on an intelligent process robot is characterized by comprising the following steps:
step S1: the invoice information to be checked is sent to a robot management server, and the robot management server starts an intelligent process robot to automatically recognize the invoice information to obtain invoice authenticity information and invoice surface information;
step S2: and logging in a value-added tax invoice inspection platform of the national tax administration by using the intelligent process robot to perform invoice-added inspection and image file-keeping.
2. The method for verifying the authenticity of the value-added tax invoice based on the intelligent process robot as claimed in claim 1, wherein the reading of the computer configuration information by the intelligent process robot comprises: the method comprises the following steps of (1) operating system time of a computer, a computer running environment and a computer hard disk file directory; the intelligent process robot can be ensured to normally operate through the computer operating environment and the reading of the hard disk file directory of the computer; the operation safety of the intelligent process robot is ensured by reading the time of the computer operating system.
3. The value-added tax invoice authenticity checking method based on the intelligent process robot as claimed in claim 1, wherein the step S1 adopts:
step S1.1: sending invoice information to be checked to a robot management server, starting an intelligent flow robot by the robot management server, and acquiring a task number list to be checked from the robot management server by the intelligent flow robot;
step S1.2: the intelligent process robot acquires corresponding value-added tax invoice information from the robot management server according to the task number, and judges that the current value-added tax invoice information is a value-added tax invoice image or an invoice four-element text;
step S1.3: when the current value-added tax invoice information is a value-added tax invoice image, acquiring an invoice four-element text of the image by using an optical character recognition technology;
step S1.4: the intelligent process robot inquires whether the current value-added tax invoice information is true through the invoice four-element text, and when the invoice information is true, the invoice face information of the invoice is obtained.
4. The value-added tax invoice authenticity checking method based on the intelligent process robot as claimed in claim 3, wherein the invoice face information comprises: invoice number, invoice code, invoicing date, check code, tax free amount, tax containing amount, machine code, invoice status, historical check times, seller issuer information, seller issuer account number, seller address, seller telephone number, seller name, seller tax number, buyer issuer information, buyer issuer account number, buyer address, buyer telephone number, and buyer tax number information on the invoice surface.
5. The value-added tax invoice authenticity checking method based on the intelligent process robot as claimed in claim 1, wherein the step S2 adopts:
step S2.1: the intelligent process robot automatically logs in and visits a value-added tax invoice checking platform of the national tax administration, and simulates manual work to automatically fill corresponding contents in a corresponding selection frame of a webpage for checking based on the acquired invoice face information, so as to acquire a checking result of current invoice information and execute screenshot operation to acquire an image;
step S2.2: and the intelligent process robot sends the obtained invoice detail surface information and the inspection result image to the data management server for storage.
6. The value-added tax invoice authenticity checking method based on the intelligent process robot as claimed in claim 5, wherein the step S2.1 adopts:
step S2.1.1: the intelligent process robot accesses the homepage of the national tax administration value-added tax invoice checking platform, automatically and sequentially fills invoice codes and invoice numbers in corresponding selection frames, simulates and manually clicks the invoicing date of the value-added tax invoice in a popped calendar after the invoice codes and the invoice numbers are successfully recorded, if the invoice type of the invoice is identified to be a common invoice, the process robot fills the check code of the invoice in the last item popped by the national tax administration value-added tax invoice checking platform, and if the invoice type of the invoice is identified to be a special invoice, the process robot fills the check code without tax amount;
step S2.1.2: after clicking the checking button, the flow robot intelligently identifies the states of the invoice inquired by the invoice information, namely the real invoice, the invalidated invoice, the nonexistence of the invoice and the inconsistent invoice information by using an AI technology, and carries out different treatment according to the four different states;
step S2.1.3: if the invoice state identified by the process robot is a true invoice, the process robot acquires information fed back by a value-added tax invoice inspection platform of the State tax administration, automatically converts the information into a PDF image and stores the PDF image, if the types of goods contained in the invoice surface are excessive, automatically lists the information such as the types, the quantity, the tax amount and the like of the goods individually for storage, and stores the specific information of the invoice surface individually into a single page which can be conveniently checked;
step S2.1.4: if the invoice identified by the process robot is a voided invoice, the process robot takes the information fed back by the value-added tax invoice checking platform of the State tax administration, automatically converts the information into a PDF image, prints 'voided' characters on the invoice image and stores the characters;
step S2.1.5: if the invoice identified by the process robot is in the state that the invoice does not exist, the process robot generates a feedback image by combining the four-element information of the invoice and directly prints a message that the invoice does not exist on the image;
step S2.1.6: if the invoice status identified by the process robot is inconsistent with the invoice information, the process robot generates a feedback image by combining the four element information of the invoice and directly prints out the information of the inconsistent invoice information on the image.
7. The utility model provides a value-added tax invoice true and false inspection system based on intelligent process robot which characterized in that includes:
a module M1: sending invoice information to be checked to a robot management server, starting an intelligent process robot by the robot management server to automatically recognize the invoice information, and acquiring invoice authenticity information and invoice surface information;
a module M2: and logging in a value-added tax invoice inspection platform of the national tax administration by using the intelligent process robot to perform invoice-adding inspection and perform image filing.
8. The value-added tax invoice authenticity checking system based on the intelligent process robot as claimed in claim 7, wherein the module M1 adopts:
module M1.1: sending invoice information to be checked to a robot management server, starting an intelligent flow robot by the robot management server, and acquiring a task number list to be checked from the robot management server by the intelligent flow robot;
module M1.2: the intelligent process robot acquires corresponding value-added tax invoice information from the robot management server according to the task number, and judges that the current value-added tax invoice information is a value-added tax invoice image or an invoice four-element text;
module M1.3: when the current value-added tax invoice information is a value-added tax invoice image, acquiring an invoice four-element text of the image by using an optical character recognition technology;
module M1.4: the intelligent process robot inquires whether the current value-added tax invoice information is true through the invoice four-element text, and when the invoice information is true, the invoice face information of the invoice is obtained.
9. The value-added tax invoice authenticity checking system based on the intelligent process robot as claimed in claim 7, wherein the module M2 adopts:
module M2.1: the intelligent process robot automatically logs in and visits a value-added tax invoice checking platform of the national tax administration, and simulates manual work to automatically fill corresponding contents in a corresponding selection frame of a webpage for checking based on the acquired invoice face information, so as to acquire a checking result of current invoice information and execute screenshot operation to acquire an image;
module M2.2: and the intelligent flow robot sends the obtained detailed invoice surface information and the inspection result image of the invoice to the data management server for storage.
10. The value-added tax invoice authenticity checking system based on the intelligent process robot as claimed in claim 9, wherein the module M2.1 adopts:
module m2.1.1: the intelligent process robot accesses the homepage of the national tax administration value-added tax invoice checking platform, automatically and sequentially fills invoice codes and invoice numbers in corresponding selection frames, simulates and manually clicks the invoicing date of the value-added tax invoice in a popped calendar after the invoice codes and the invoice numbers are successfully recorded, if the invoice type of the invoice is identified to be a common invoice, the process robot fills the check code of the invoice in the last item popped by the national tax administration value-added tax invoice checking platform, and if the invoice type of the invoice is identified to be a special invoice, the process robot fills the check code without tax amount;
module m2.1.2: after clicking the checking button, the flow robot intelligently identifies the states of the invoice inquired by the invoice information, namely the real invoice, the invalidated invoice, the nonexistence of the invoice and the inconsistent invoice information by using an AI technology, and carries out different treatment according to the four different states;
module m2.1.3: if the invoice state identified by the process robot is a true invoice, the process robot acquires information fed back by a value-added tax invoice checking platform of the State tax administration, automatically converts the information into a PDF image and stores the PDF image, if the types of commodities contained in the invoice face are excessive, automatically and independently lists information such as the types, the quantities, the tax amounts and the like of the commodities for checking, and independently stores specific information of the invoice face into a single page convenient to check;
module m2.1.4: if the invoice state identified by the process robot is a waste invoice, the process robot takes information fed back by a value-added tax invoice inspection platform of the State tax administration, automatically converts the information into a PDF image, prints a waste character on the invoice image and stores the waste character;
module m2.1.5: if the invoice identified by the process robot is in the state of nonexistence, the process robot generates a feedback image by combining the four-element information of the invoice and directly prints a nonexistence invoice message on the image;
module m2.1.6: if the invoice status identified by the process robot is inconsistent with the invoice information, the process robot generates a feedback image by combining the four element information of the invoice and directly prints out the information of the inconsistent invoice information on the image.
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| CN111105548A (en) * | 2019-12-13 | 2020-05-05 | 远光软件股份有限公司 | Batch checking device and method for value-added tax special invoices |
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| CN114862540A (en) * | 2022-06-01 | 2022-08-05 | 南京英诺森软件科技有限公司 | Bill auditing system and method |
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| CN111105548A (en) * | 2019-12-13 | 2020-05-05 | 远光软件股份有限公司 | Batch checking device and method for value-added tax special invoices |
| CN112819597A (en) * | 2021-01-29 | 2021-05-18 | 陈世海 | Method, system and storage medium for automatic invoice capture and voucher input |
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