CN114139505A - Document intelligent filling system and method based on RPA - Google Patents

Document intelligent filling system and method based on RPA Download PDF

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Publication number
CN114139505A
CN114139505A CN202111460961.7A CN202111460961A CN114139505A CN 114139505 A CN114139505 A CN 114139505A CN 202111460961 A CN202111460961 A CN 202111460961A CN 114139505 A CN114139505 A CN 114139505A
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data
module
rpa
input end
transmitted
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CN202111460961.7A
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Chinese (zh)
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王文锋
程南
韩光祖
贡楠
姜海
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Fubon Huayi Bank Ltd
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Fubon Huayi Bank Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/166—Editing, e.g. inserting or deleting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14—Error detection or correction of the data by redundancy in operation
    • G06F11/1402—Saving, restoring, recovering or retrying
    • G06F11/1446—Point-in-time backing up or restoration of persistent data
    • G06F11/1448—Management of the data involved in backup or backup restore
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/232—Orthographic correction, e.g. spell checking or vowelisation

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Security & Cryptography (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • Quality & Reliability (AREA)
  • Virology (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention relates to the field of an RPA (document management and accounting) intelligent document filling system and discloses an RPA-based intelligent document filling system, wherein the output end of a data import module is connected with the input end of a data safety detection module, the data detection module transmits detected data to an error reporting module, the data detection module is mainly used for detecting wrongly written characters, punctuation mark errors and format errors in the data, the data are immediately transmitted to the error reporting module after being inquired, the error reporting module transmits the data to an alarm module, the alarm module gives an alarm and transmits the data to a display device for an operator to check, whether errors exist in the current transmission content can be visually and clearly displayed, whether the errors need to be manually corrected or not is avoided, and the problems that the existing intelligent filling system has no error checking function and the errors of characters and punctuation marks occur in a document are reduced.

Description

Document intelligent filling system and method based on RPA
Technical Field
The invention relates to the field of an RPA document intelligent filling system, in particular to an RPA-based document intelligent filling system and a method thereof.
Background
The RPA automatically processes high-frequency services with clear rules and batched through simulating manual operation of a keyboard and a mouse. The method is suitable for operation flows with definite business rules and structured input and output in enterprises, such as boring, repeated and standardized work of reading mails, reconciliation and summarization, checking files, generating files and reports and the like, and can enable an RPA robot to complete the operations instead, and the RPA can be easily integrated on any system to process data across the systems. The method not only simplifies the operation process and improves the data processing efficiency and accuracy, but also can effectively avoid human errors and avoid the risk of human tampering of the data in the service process. The RPA can reduce the workload of the staff, release the staff from the boring and repeated data transportation, and lead the staff to concentrate on more creative work, grow into compound talents, better utilize the data and create more value for enterprises.
With the progress of the times, the filling of forms and documents does not need to be manually processed, and the existing intelligent filling system is not provided with a function of checking and reporting errors, so that small errors and errors of punctuation marks may occur in the documents under the filling of the existing intelligent filling system, and therefore, the document intelligent filling system based on the RPA and the method thereof are provided.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an RPA-based document intelligent filling system and a method thereof, which solve the problems.
(II) technical scheme
In order to achieve the above purpose, the invention provides the following technical scheme: the document intelligent filling system based on the RPA comprises a data import module, a data safety detection module, a data acquisition module, a data screening module, a classification module, a data detection module, a data intelligent filling module, a data storage module and a display device, wherein the output end of the data import module is connected with the input end of the data safety detection module, the output end of the data safety detection module is connected with the input end of the classification module, the output end of the classification module is connected with the input end of the data detection module, the output end of the data detection module is connected with the input end of the data preprocessing module, the output end of the data preprocessing module is connected with the input end of the data intelligent filling module, the output end of the data intelligent filling module is connected with the input end of the data storage module, and the output end of the data storage module is connected with the input end of the display module.
Preferably, the output end of the data acquisition module is connected with the input end of the data screening module, and the output end of the data screening module is connected with the input end of the classification module.
Preferably, the input end of the classification module is connected with a backup module, and the input end of the backup module is connected with an internal private cloud.
Preferably, the data end of the data detection module is connected with the error reporting module, the input end of the error reporting module is connected with the alarm module, and the data end of the alarm module is connected with the display device.
The use method of the RPA-based intelligent document filling system comprises the following steps:
the first step is as follows: information import and Collection
The second step is that: and data classification, namely integrating and classifying the content of the data, and classifying the report content made according to the data requirement in the classification process. And classifying the staff information, attendance records, the flow line production completion progress and the statistical form content.
The fourth step: and then, transmitting the classified contents to a data detection module, correcting the classified contents by the data detection module, and transmitting the data to a data preprocessing module after the detection is finished.
The fifth step: the data preprocessing module can prepare the required template and the frame according to the content of the current data, and then the data is filled into the template provided by the data preprocessing module through the data intelligent filling module.
And a sixth step: and then, the data are all stored through the data storage module, in the storage process, the data can be named in a user-defined mode according to the size of the data and the difference of documents, the named contents comprise staff information tables and assembly line production tables, and finally the data are transmitted to display equipment through the data storage module and are displayed through the display equipment for operators to watch.
Preferably, different data are collected from the Internet of things and the Internet through the information collection module, the collected data are transmitted to the data, the post data screening module screens the data, and after the screening is completed, the content is transmitted to the classification module.
Preferably, the data to be filled in is imported through the U disk, the mobile hard disk and other mobile storage devices through the data import module, after the import is completed, the data imported in the U disk and the mobile hard disk is subjected to security detection through the data security detection module, whether virus software threatening normal operation of the current device is contained in the content of the data imported in the U disk and the mobile hard disk is detected, and after the detection is completed, the data is transmitted to the classification module.
Preferably, in the process of classifying by the classification module, the classified data is transmitted to the backup module, the backup module performs backup, the data is transmitted to the internal private cloud after the backup is completed, and the internal private cloud performs uniform storage, so that the situation that the subsequent file cannot be searched after being lost is prevented, and the subsequent query and viewing of the history file are facilitated.
Preferably, the data detection module transmits the detected data to the error reporting module, the data detection module is mainly used for detecting wrongly written characters, punctuation mark errors and format errors in the data, the data can be immediately transmitted to the error reporting module after the errors are inquired, the error reporting module transmits the data to the alarm module, the alarm module gives an alarm, the data is transmitted to the display device and displayed by the display device for an operator to watch, and the operator can visually and clearly know whether the errors exist in the current transmission content and whether the errors need to be corrected manually or not.
(III) advantageous effects
Compared with the prior art, the invention provides the document intelligent filling system and the method thereof based on the RPA, which have the following beneficial effects:
1. the document intelligent filling system based on the RPA and the method thereof are characterized in that a data detection module transmits detected data to an error reporting module, the data detection module is mainly used for detecting wrongly written characters, punctuation mark errors and format errors in the data, the data can be transmitted to the error reporting module immediately after the errors are inquired, the error reporting module transmits the data to an alarm module, the alarm module gives an alarm, and then the data is transmitted to a display device for display, so that an operator can visually and clearly know whether the current transmission content has errors or not, whether the errors need to be corrected manually or not is avoided, and the problem that the existing intelligent filling system has a function of checking the errors and the errors of punctuation marks can be caused in the document under the filling of the existing intelligent filling system is avoided.
2. According to the document intelligent filling system and method based on the RPA, in the classifying process of the classifying module, classified data are transmitted to the backup module, the backup module performs backup, the data are transmitted to the internal private cloud after the backup is completed, and the internal private cloud performs unified storage, so that the situation that a follow-up file cannot be searched after being lost is prevented, and the follow-up inquiry and viewing of the history file are facilitated.
Drawings
FIG. 1 is a schematic block diagram of a system according to the present invention;
FIG. 2 is a schematic block diagram of the system of the present invention;
FIG. 3 is a block diagram of a system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the RPA-based intelligent document filling system includes a data importing module, a data security detecting module, a data collecting module, a data screening module, a classifying module, a data detecting module, an intelligent data filling module, a data storing module and a display device, the output end of the data import module is connected with the input end of the data safety detection module, the output end of the data safety detection module is connected with the input end of the classification module, the output end of the classification module is connected with the input end of the data detection module, the output end of the data detection module is connected with the input end of the data preprocessing module, the output end of the data preprocessing module is connected with the input end of the data intelligent filling module, the output end of the data intelligent filling module is connected with the input end of the data storage module, and the output end of the data storage module is connected with the input end of the display module.
To relieve hosts of the burden of handling data storage tasks, storage systems should have the ability to address interoperability, expansion, technology upgrades, component availability, and data security issues. Smart storage systems are comprised of many different components, including smart storage devices, smart storage networking technology, and smart storage management software. While reducing storage network and device complexity, smart storage systems must ensure data reliability and security during transmission and storage. Therefore, smart storage systems require a number of data protection functions to be implemented in various levels of data storage and transmission.
The data acquisition module is based on a communication module of a remote data acquisition module platform, and integrates a communication chip, a storage chip and the like on a circuit board, so that the data acquisition module has the functions of sending and receiving short messages, voice calls, data transmission and the like through the remote data acquisition module platform. The remote data acquisition module can realize the main communication function of a common remote data acquisition module mobile phone, and can also be called a 'simplified version' mobile phone. The computer, the singlechip and the ARM can be connected with the remote data acquisition module through the RS232 serial port, and various voice and data communication functions are realized through the AT instruction control module.
Data screening is in a crucial position in the whole data processing flow, and valuable data must be screened out to analyze the value contained in mass data due to the rapid accumulation of data volume in a big data environment.
The data screening aims to improve the usability of the related data collected and stored before and facilitate later data analysis. The method comprises three parts of data extraction, data cleaning and data loading.
The output end of the data acquisition module is connected with the input end of the data screening module, and the output end of the data screening module is connected with the input end of the classification module.
The input end of the classification module is connected with a backup module, and the input end of the backup module is connected with an internal private cloud.
The data end of the data detection module is connected with the error reporting module, the input end of the error reporting module is connected with the alarm module, and the data end of the alarm module is connected with the display device.
The use method of the RPA-based intelligent document filling system comprises the following steps:
the first step is as follows: information import and Collection
The second step is that: and data classification, namely integrating and classifying the content of the data, and classifying the report content made according to the data requirement in the classification process. And classifying the staff information, attendance records, the flow line production completion progress and the statistical form content.
The fourth step: and then, transmitting the classified contents to a data detection module, correcting the classified contents by the data detection module, and transmitting the data to a data preprocessing module after the detection is finished.
The fifth step: the data preprocessing module can prepare the required template and the frame according to the content of the current data, and then the data is filled into the template provided by the data preprocessing module through the data intelligent filling module.
And a sixth step: and then, the data are all stored through the data storage module, in the storage process, the data can be named in a user-defined mode according to the size of the data and the difference of documents, the named contents comprise staff information tables and assembly line production tables, and finally the data are transmitted to display equipment through the data storage module and are displayed through the display equipment for operators to watch.
Different data are collected from the Internet of things and the Internet through the information collection module, the collected data are transmitted to the data, the post data screening module screens the data, and after the screening is completed, the content is transmitted to the classification module.
The data to be filled are imported through the USB flash disk, the mobile hard disk and other mobile storage devices through the data import module, after the import is completed, the data imported in the USB flash disk and the mobile hard disk are subjected to security detection through the data security detection module, whether virus software threatening normal operation of the current device, such as Trojan horse virus, is contained in the content of the data is detected, and after the detection is completed, the data are transmitted to the classification module.
In the process of classifying by the classification module, the classified data is transmitted to the backup module, the backup module performs backup, the data is transmitted to the internal private cloud after the backup is completed, the internal private cloud performs unified storage, the situation that the subsequent file cannot be searched after being lost is prevented, and the subsequent inquiry and viewing of the historical file are facilitated.
The data detection module transmits detected data to the error reporting module, the data detection module is mainly used for detecting wrongly written characters, punctuation mark errors and format errors in the data, the data can be immediately transmitted to the error reporting module after the errors are inquired, the data is transmitted to the alarm module, the alarm module gives an alarm, the data is transmitted to the display device and is displayed by the display device for an operator to watch, and the operator can visually and clearly know whether the errors exist in the current transmission content and whether the errors need to be manually corrected.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (9)

1. Document intelligent filling system based on RPA, including data import module, data safety detection module, data acquisition module, data screening module, classification module, data detection module, data intelligent filling module, data save module and display device, its characterized in that: the output end of the data import module is connected with the input end of the data safety detection module, the output end of the data safety detection module is connected with the input end of the classification module, the output end of the classification module is connected with the input end of the data detection module, the output end of the data detection module is connected with the input end of the data preprocessing module, the output end of the data preprocessing module is connected with the input end of the data intelligent filling module, the output end of the data intelligent filling module is connected with the input end of the data storage module, and the output end of the data storage module is connected with the input end of the display module.
2. The RPA-based intelligent document filing system and method according to claim 1, wherein: the output end of the data acquisition module is connected with the input end of the data screening module, and the output end of the data screening module is connected with the input end of the classification module.
3. The RPA-based intelligent document filing system and method according to claim 1, wherein: the input end of the classification module is connected with a backup module, and the input end of the backup module is connected with an internal private cloud.
4. The RPA-based intelligent document filing system and method according to claim 1, wherein: the data end of the data detection module is connected with the error reporting module, the input end of the error reporting module is connected with the alarm module, and the data end of the alarm module is connected with the display device.
5. The use method of the RPA-based intelligent document filling system is characterized by comprising the following steps:
the first step is as follows: importing and collecting information;
the second step is that: data classification, namely integrating and classifying the content of the data, and classifying report contents made according to the data requirements in the classification process, such as employee information, attendance records, flow line production completion progress and statistical table contents;
the fourth step: then the classified contents are transmitted to a data detection module, the data detection module carries out correction, and after the detection is finished, the data are transmitted to a data preprocessing module;
the fifth step: the data preprocessing module prepares a required template and a required frame according to the content of the current data, and then fills the data into the template provided by the data preprocessing module through the data intelligent filling module;
and a sixth step: and then, the data are all stored through the data storage module, in the storage process, the data can be named in a user-defined mode according to the size of the data and the difference of documents, the named contents comprise staff information tables and assembly line production tables, and finally the data are transmitted to display equipment through the data storage module and are displayed through the display equipment for operators to watch.
6. The use method of the RPA-based intelligent document filing system according to claim 5, wherein: different data are collected from the Internet of things and the Internet through the information collection module, the collected data are transmitted to the data, the post data screening module screens the data, and after the screening is completed, the content is transmitted to the classification module.
7. The use method of the RPA-based intelligent document filing system according to claim 5, wherein: the data to be filled are imported through the USB flash disk, the mobile hard disk and other mobile storage devices through the data import module, after the import is completed, the data imported in the USB flash disk and the mobile hard disk are subjected to security detection through the data security detection module, whether virus software threatening normal operation of the current device, such as Trojan horse virus, is contained in the content of the data is detected, and after the detection is completed, the data are transmitted to the classification module.
8. The use method of the RPA-based intelligent document filing system according to claim 5, wherein: in the process of classifying by the classification module, the classified data is transmitted to the backup module, the backup module performs backup, the data is transmitted to the internal private cloud after the backup is completed, the internal private cloud performs unified storage, the situation that the subsequent file cannot be searched after being lost is prevented, and the subsequent inquiry and viewing of the historical file are facilitated.
9. The use method of the RPA-based intelligent document filing system according to claim 5, wherein: the data detection module transmits detected data to the error reporting module, the data detection module is mainly used for detecting wrongly written characters, punctuation mark errors and format errors in the data, the data can be immediately transmitted to the error reporting module after the errors are inquired, the data is transmitted to the alarm module, the alarm module gives an alarm, the data is transmitted to the display device and is displayed by the display device for an operator to watch, and the operator can visually and clearly know whether the errors exist in the current transmission content and whether the errors need to be manually corrected.
CN202111460961.7A 2021-12-02 2021-12-02 Document intelligent filling system and method based on RPA Pending CN114139505A (en)

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Application Number Priority Date Filing Date Title
CN202111460961.7A CN114139505A (en) 2021-12-02 2021-12-02 Document intelligent filling system and method based on RPA

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Application Number Priority Date Filing Date Title
CN202111460961.7A CN114139505A (en) 2021-12-02 2021-12-02 Document intelligent filling system and method based on RPA

Publications (1)

Publication Number Publication Date
CN114139505A true CN114139505A (en) 2022-03-04

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