CN114626351A - Form filling method and device combining RPA and AI, electronic equipment and storage medium - Google Patents

Form filling method and device combining RPA and AI, electronic equipment and storage medium Download PDF

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CN114626351A
CN114626351A CN202210147414.1A CN202210147414A CN114626351A CN 114626351 A CN114626351 A CN 114626351A CN 202210147414 A CN202210147414 A CN 202210147414A CN 114626351 A CN114626351 A CN 114626351A
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service
data set
service data
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程飞
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Laiye Technology Beijing Co Ltd
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Laiye Technology Beijing Co 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
    • G06F40/174—Form filling; Merging
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/332—Query formulation
    • G06F16/3329—Natural language query formulation or dialogue systems

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Abstract

The disclosure provides a form filling method and device combining Robot Process Automation (RPA) and Artificial Intelligence (AI) and electronic equipment. The method comprises the following steps: acquiring an integrated service data set, wherein the integrated service data set comprises a public data set and sub-service data sets respectively corresponding to a plurality of sub-service systems; respectively sending corresponding sub-service data sets to each sub-service system, so that an RPA robot of the sub-service system fills a sub-service form according to service data in the sub-service data sets; and respectively sending the public data set to each sub-service system, so that the RPA robots of the sub-service systems extract the service data required by the RPA robots from the public data set and fill in the sub-service forms. The method and the device combine the RPA and AI technologies, so that the service data needing to be shared is sent to different service systems through the public data set, a user does not need to repeatedly fill the same data into different service systems, manpower and time are saved, and the service handling efficiency is improved.

Description

Form filling method and device combining RPA and AI, electronic equipment and storage medium
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to the fields of Artificial Intelligence (AI) and Robot Process Automation (RPA), and more particularly, to a form filling method and apparatus, an electronic device, and a storage medium for combining the RPA and the AI.
Background
Robot Process Automation (RPA) is a Process task automatically executed according to rules by simulating human operations on a computer through specific robot software.
Artificial Intelligence (AI) is a technical science that studies and develops theories, methods, techniques and application systems for simulating, extending and expanding human Intelligence.
In the field of government affairs services, different functional business departments handle different business ranges. Each department may have one or more sets of service management systems, which are independent of each other and have self-organized form information filling requirements. With the overall improvement of government affair service requirements, part of business data needs to be shared among different business departments, so that users need to repeatedly fill part of the same data into different business departments. The repetitive work consumes a great amount of manpower and time, reduces the transaction efficiency of the business, and causes poor experience of the user.
Disclosure of Invention
The form filling method and device combining Robot Process Automation (RPA) and Artificial Intelligence (AI), the electronic equipment and the storage medium are used for solving the problem that part of the same data needs to be filled repeatedly when a user transacts business.
The form filling method combining Robot Process Automation (RPA) and Artificial Intelligence (AI) provided by the embodiment of the disclosure in one aspect comprises the following steps:
acquiring an integrated service data set, wherein the integrated service data set comprises a public data set and sub-service data sets respectively corresponding to a plurality of sub-service systems, the public data set comprises service data required by the plurality of sub-service systems, and the service data in the public data set is different from the service data in each sub-service data set;
respectively sending corresponding sub-service data sets to each sub-service system, so that an RPA robot of the sub-service system fills a sub-service form according to service data in the sub-service data sets;
and respectively sending the public data set to each sub-service system, so that the RPA robot of the sub-service system extracts the service data required by the RPA robot from the public data set and fills in the sub-service form.
In another aspect, a form filling method combining Robot Process Automation (RPA) and Artificial Intelligence (AI) provided in an embodiment of the present disclosure includes:
acquiring a public data set and a sub-service data set corresponding to a sub-service system;
extracting first service data from the sub-service data set to fill in a sub-service form;
second business data is extracted from the common data set to fill in the remainder of the sub-business form.
The form filling device combining Robot Process Automation (RPA) and Artificial Intelligence (AI) provided by the embodiment of the disclosure in another aspect comprises:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring an integrated service data set, the integrated service data set comprises a public data set and sub-service data sets respectively corresponding to a plurality of sub-service systems, the public data set comprises service data required by the plurality of sub-service systems, and the service data in the public data set is different from the service data in each sub-service data set;
the first sending module is used for sending the corresponding sub-service data sets to each sub-service system respectively so that the RPA robot of the sub-service system fills the sub-service forms according to the service data in the sub-service data sets;
and the second sending module is used for respectively sending the public data set to each sub-service system so that the RPA robot of the sub-service system extracts the service data required by the RPA robot from the public data set and fills in the sub-service form.
In another aspect, an embodiment of the present disclosure provides a form filling apparatus combining robot process automation RPA and artificial intelligence AI, including:
the acquisition module is used for acquiring the public data set and the sub-service data set corresponding to the sub-service system;
the first filling module is used for extracting the first service data from the sub-service data set so as to fill the sub-service form;
and the second filling module is used for extracting second service data from the public data set so as to fill the rest part in the sub-service form.
An embodiment of another aspect of the present disclosure provides an electronic device, which includes: the processor executes the program to implement the form filling method combining robot flow automation RPA and artificial intelligence AI.
A further aspect of the disclosure provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a form filling method as before in connection with robot process automation, RPA, and artificial intelligence, AI.
A further aspect of the present disclosure provides a computer program product comprising a computer program which, when executed by a processor, implements the form filling method as before in conjunction with robotic process automation, RPA, and artificial intelligence, AI.
The form filling method, the form filling device, the electronic equipment, the computer readable storage medium and the computer program product which are provided by the embodiment and combined with the robot process automation RPA and the artificial intelligence AI have the following technical effects:
firstly, acquiring an integrated service data set, wherein the integrated service data set comprises a public data set and sub-service data sets respectively corresponding to a plurality of sub-service systems, the public data set comprises service data required by the plurality of sub-service systems, and the service data in the public data set is different from the service data in each sub-service data set; then, respectively sending corresponding sub-service data sets to each sub-service system, so that the RPA robot of the sub-service system fills a sub-service form according to the service data in the sub-service data sets; and finally, respectively sending the public data set to each sub-service system, so that the RPA robot of the sub-service system extracts the service data required by the RPA robot from the public data set and fills in the sub-service form. The method and the system combine RPA and AI technologies to send the public data set to each sub-service system needing to share service data, so that different sub-service systems can extract the service data needed by each sub-service system from the public data set and the corresponding sub-service data set, a user does not need to repeatedly fill the same data in different service systems, manpower and time are saved, and the service handling efficiency is improved.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.
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The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flowchart of a form filling method combining robot process automation RPA and artificial intelligence AI according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a form filling method combining robot process automation RPA and artificial intelligence AI according to another embodiment of the present disclosure;
fig. 3 is a schematic flowchart of a form filling method combining robot process automation RPA and artificial intelligence AI according to another embodiment of the present disclosure;
fig. 4 is a schematic flowchart of a form filling method combining robot process automation RPA and artificial intelligence AI according to another embodiment of the present disclosure;
fig. 5 is a schematic flowchart of a form filling method combining robot process automation RPA and artificial intelligence AI according to another embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a form filling apparatus combining robot process automation RPA and artificial intelligence AI according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of a form filling apparatus combining robot process automation RPA and artificial intelligence AI according to another embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the like or similar elements throughout. The embodiments described below with reference to the drawings are exemplary and intended to be illustrative of the present disclosure, and should not be construed as limiting the present disclosure.
The embodiment of the disclosure provides a form filling method and a form filling device combining Robot Process Automation (RPA) and Artificial Intelligence (AI) aiming at the problem that a user needs to repeatedly fill part of the same data when transacting business.
It should be noted that, the RPA (robot Process Automation) technology can intelligently understand the existing application of the electronic device through the user interface, automate repeated regular operations based on rules and in large batch, such as automatically and repeatedly reading mails, reading Office components, operating databases, web pages, client software, etc., collect data and perform tedious calculations, so that the input of labor cost can be greatly reduced through the RPA technology, and the Office efficiency can be effectively improved.
AI (Artificial Intelligence) technology can react to and learn from stimuli in a manner similar to human reaction, is a simulation of information processes of human consciousness and thinking, and has application fields including robots, language recognition, image recognition, natural language processing, expert systems, and the like.
Therefore, in a scene that a user transacts business, the RPA system and the AI model can be configured in the electronic device for form filling, so that the RPA system can automatically collect and distribute data according to a set program, so that each business system automatically fills business data.
In the description of the present disclosure, the term "plurality" refers to two or more.
In the description of the present disclosure, the term "integrated service data set" refers to all service data that a user is involved in transacting a service. For example, when a user transacts an application for children to enter a study, the user needs to fill in business data in various aspects such as public security, civil administration, human society, medical insurance and the like.
In the description of the present disclosure, the term "common data set" refers to business data that needs to be shared by different types of business systems. For example, when a user transacts a request for children to enter a study, public security, civil affairs, human society, medical insurance and other systems need to fill in identity information such as names of children.
In the description of the present disclosure, the term "sub-business system" refers to each business management system involved when a user transacts a business. For example, when a user transacts an application for children to enter school, the user needs to submit application items in a public security system, a civil administration system, a human-society system, a medical insurance system, and the like.
In the description of the present disclosure, the term "sub-service data set" refers to service data required by a single service management system, except for shared data in a common data set. For example, when a user transacts a request for children to enter a study, the public security system needs to fill in information such as names of children, names of parents, identification numbers, contact ways and the like. The public data set comprises child names, and the sub-business data set comprises information such as parent names, identity card numbers, contact ways and the like.
In the description of the present disclosure, the term "integrated service form" refers to a form that includes both shared service data and service data required by each sub-service system. The part where the shared service data is located in the integrated service form is a public information sub-table, and the part where the service data required by each sub-service system is located is a service sub-table. For example, when the user transacts the request for children to enter school, the integrated service form may include a plurality of parts, which are a public information sub-form, a public security sub-form, a civil service sub-form, a human-society service sub-form, a medical insurance service sub-form, and the like.
The form filling method, apparatus, electronic device, and storage medium in conjunction with robot process automation RPA and artificial intelligence AI provided by the present disclosure are described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart of a form filling method combining robot process automation RPA and artificial intelligence AI according to an embodiment of the present disclosure.
The form filling method combining Robot Process Automation (RPA) and Artificial Intelligence (AI) of the embodiment of the disclosure is executed by an RPA robot of a form management system, as shown in fig. 1, and comprises the following steps:
step 101, acquiring a comprehensive service data set, wherein the comprehensive service data set includes a public data set and sub-service data sets corresponding to a plurality of sub-service systems, respectively, the public data set includes service data required by the plurality of sub-service systems, and the service data in the public data set is different from the service data in each sub-service data set.
The integrated service data set can be a data set filled in when a user transacts any type of service. For example, the data set filled in when the user applies for children to enter study can be processed. Or, a data set filled when the enterprise employee retires may be handled for the user, and the like, which is not limited by this disclosure.
It will be appreciated that when a user transacts a business, different materials may be submitted to multiple departments to simultaneously meet the relevant requirements of the different departments. For example, when a user transacts a request for children's entrance, various requirements such as public security, human society, civil affairs, etc. may be involved.
At the present stage, service systems of different departments are independent from each other and cannot share data, so that a user needs to provide complete service data for each service system. However, the service data required by the respective service systems may be partially repeated. For example, the business system a and the business system B need to fill in the name of the user at the same time, and the business system B and the business system C need to fill in the contact information at the same time.
In the embodiment of the present disclosure, the business system of each department may be referred to as a sub-business system. And putting the service data which is commonly required by a plurality of sub-service systems into a common data set, and putting the service data which is individually required by each sub-service system into a corresponding sub-service data set. That is, the service data required by each sub-service system is divided into two parts, the part overlapping with other sub-service systems is put into the common data set, and the part not overlapping with other sub-service systems is put into the corresponding sub-service data set. Further, the common data set and each sub-service data set form a comprehensive service data set required for handling the whole service.
For example, when a user transacts a service, service data X1 needs to be filled in sub-service system a and sub-service system B, service data X2 needs to be filled in sub-service system B and sub-service system C, and service data X3 needs to be filled in sub-service system a, sub-service system B, and sub-service system C, so that X1, X2, and X3 can be put into a common data set. The service data X4 needs to be reported in the sub-service system a, the service data X5 needs to be reported in the sub-service system B, and the service data X6 needs to be reported in the sub-service system C, so that X4 may be placed in the sub-service data set corresponding to the sub-service system a, X5 may be placed in the sub-service data set corresponding to the sub-service system B, and X6 may be placed in the sub-service data set corresponding to the sub-service system C.
In the embodiment of the present disclosure, any possible implementation manner may be adopted to obtain the integrated service data set. For example, the information may be obtained through application software of the client; or, the request may be obtained through an application form filled by the user, which is not limited in this disclosure.
And 102, respectively sending the corresponding sub-service data sets to each sub-service system, so that the RPA robot of the sub-service system fills the sub-service forms according to the service data in the sub-service data sets.
It is understood that the sub-service data set includes all or part of the service data required by the sub-service system.
For example, when the service data required by the sub-service system a is not repeated with other sub-service systems, the sub-service data set corresponding to the sub-service system a includes all the service data required by the sub-service system a.
Or, when the service data required by the sub-service system a is repeated with other sub-service systems, the sub-service data set corresponding to the sub-service system a includes part of the service data required by the sub-service system a, and the other part of the service data is located in the common data set.
Furthermore, when the sub-service data sets are sent to the corresponding sub-service systems, the sub-service systems can automatically extract the service data in the sub-service data sets through the RPA robot, and complete operations of logging in the system, entering a menu, filling in a form, submitting and the like.
And 103, respectively sending the public data set to each sub-service system, so that the RPA robot of the sub-service system extracts the service data required by each sub-service system from the public data set and fills in a sub-service form.
It will be appreciated that the common data set includes service data that is duplicated by each of the sub-service systems. Therefore, the common data set can be sent to each sub-business system, and each sub-business system can automatically extract the respectively needed business data from the common data set through the RPA robot and fill the rest parts in the sub-business forms.
For example, the common data set includes business data X1, X2, and X3, the sub-business system a may extract required business data X1 and X3 therefrom, the sub-business system B may extract required business data X1, X2, and X3 therefrom, and the sub-business system C may extract required business data X2 and X3 therefrom.
It should be noted that, for each service data, there is a corresponding data type. For example, the data type of the business data X1 may be a name, the data type of the business data X2 may be an identification number, and the data type of the business data X3 may be a date.
Therefore, when each sub-business system extracts the respectively needed business data from the common data set, the extraction can be performed according to the data type. For example, if the business data that the sub-business system a needs to acquire is a name, the business data with the data type of name can be extracted from the public data set. The sub-service system B may extract the service data of which the data type is the identification number from the public data set if the service data to be acquired is the identification number.
In the embodiment of the disclosure, a comprehensive service data set is firstly obtained, wherein the comprehensive service data set comprises a public data set and sub-service data sets respectively corresponding to a plurality of sub-service systems, the public data set comprises service data required by the plurality of sub-service systems, and the service data in the public data set is different from the service data in each sub-service data set; then, respectively sending corresponding sub-service data sets to each sub-service system, so that the RPA robot of the sub-service system fills a sub-service form according to the service data in the sub-service data sets; and finally, respectively sending the public data set to each sub-service system, so that the RPA robot of the sub-service system extracts the service data required by the RPA robot from the public data set and fills a service form. The method and the system combine RPA and AI technologies to send the public data set to each sub-service system needing to share service data, so that different sub-service systems can extract the service data needed by each sub-service system from the public data set and the corresponding sub-service data set, a user does not need to repeatedly fill the same data in different service systems, manpower and time are saved, and the service handling efficiency is improved.
Fig. 2 is a schematic flowchart of a form filling method combining robot process automation RPA and artificial intelligence AI according to another embodiment of the present disclosure.
As shown in fig. 2, the form filling method combining robot process automation RPA and artificial intelligence AI includes the following steps:
step 201, acquiring a comprehensive service form, wherein the comprehensive service form includes a public information sub-table and service sub-tables respectively corresponding to a plurality of sub-service systems.
It should be noted that when the user transacts the service, the service data can be provided by filling in the application form. In order to avoid that the user repeatedly fills part of the same data in a plurality of forms, the integrated service form can be adopted to summarize all service data involved when the user transacts services.
The integrated service form can be divided into a plurality of parts, and each part records a part of service data. Specifically, the service data commonly required by a plurality of sub-service systems may be recorded in the common information sub-table, and the service data individually required by each sub-service system may be recorded in each service sub-table.
For example, the sub-service system a needs to fill in service data X1, X3, and X4, the sub-service system B needs to fill in service data X1, X2, X3, and X5, and the sub-service system C needs to fill in service data X2, X3, and X6. Then X1, X2, X3 may be recorded into the public information sub-table. X4 may be placed in the service sub-table corresponding to sub-service system a, X5 may be placed in the service sub-table corresponding to sub-service system B, and X6 may be placed in the service sub-table corresponding to sub-service system C.
It should be noted that the layout and position of the public information sub-table and the plurality of service sub-tables in the integrated service form can be in any possible manner. For example, the typesetting can be performed from top to bottom; alternatively, the typesetting can be performed in a left-to-right manner, which is not limited by the present disclosure.
Step 202, extracting service data from the public information sub-table to generate a public data set.
Step 203, respectively extracting service data from each service sub-table to generate a sub-service data set.
It should be noted that, in a real-world scenario, the integrated service form may be an electronic form or a paper form.
When the integrated service form is an electronic form, the public information sub-form and each service sub-form can be set as independent forms. Furthermore, service data can be automatically extracted from the public information sub-table through the RPA robot, and a public data set is generated; and respectively extracting service data from each service sub-table and generating each sub-service data set.
It will be appreciated that when the integrated services form is a paper form, the common information sub-form and the individual service sub-forms are in different locations in the form. Therefore, the public information sub-table part can be determined according to the position information in the integrated service table, and the service data is extracted from the public information sub-table part to generate a public data set; and determining each business sub-table part, extracting business data from the business sub-table part, and generating each sub-business data set.
In some embodiments of the present disclosure, when the integrated services form is a paper form, an optical character recognition service may be invoked to extract the service data from the public information sub-form to generate the public data set. Similarly, an optical character recognition service may be invoked to extract business data from the business sub-table to generate the sub-business data set.
Specifically, through optical character recognition, the service data of the part where the public information sub-table is located in the integrated service form can be detected and extracted, and a public data set is generated. Meanwhile, the service data of the part where each service sub-table is located in the comprehensive service table can be detected and extracted, and a sub-service data set is generated.
Optical Character Recognition (OCR) is an input technique that converts characters of various bills, newspapers, books, manuscripts, and other printed matters into image information by scanning and other Optical input methods, and then converts the image information into usable computer input techniques by using a Character Recognition technique. Can be applied to the fields of inputting and processing bank notes, a large amount of text data, file files and documentaries. It is suitable for automatic scanning, identification and long-term storage of a large number of bill forms in the industries of banks, tax administration and the like.
And step 204, respectively sending the corresponding sub-service data sets to each sub-service system, so that the sub-service systems extract service data from the sub-service data sets.
Step 205, respectively sending the common data set to each sub-service system, so that the sub-service systems extract the service data required by each sub-service system from the common data set.
It should be noted that, for the specific implementation manner of the step 204-205, reference may be made to the detailed description of other embodiments of the disclosure, and details are not described herein again.
And step 206, acquiring the service approval result of each sub-service system.
It can be understood that after each sub-business system obtains the submitted business data, the application items of the user need to be approved, and the approval results are fed back to the user.
In the embodiment of the present disclosure, the business approval results of each department may be obtained from each sub-business system, so as to determine whether the application item finally passes.
Wherein, the service approval result can be pass or fail. When the approval result is failure, the reason of failure can be further shown so as to carry out rectification at a later period.
In the embodiment of the disclosure, the integrated service form is divided into a public information sub-form and a plurality of service sub-forms, the public information sub-form records service data commonly required by a plurality of sub-service systems, and each service sub-form records service data individually required by each sub-service system. Therefore, the service data in the common information sub-table is extracted to generate the common data set, and the service data in each service sub-table is extracted to generate the sub-service data set, so that different sub-service systems can extract the service data required by the sub-service systems from the common data set and the corresponding sub-service data set, the repeated filling of the same data into different service systems by users is avoided, the labor and the time are saved, and the service handling efficiency is improved.
Fig. 3 is a schematic flowchart of a form filling method combining robot process automation RPA and artificial intelligence AI according to another embodiment of the present disclosure.
As shown in fig. 3, the form filling method combining robot process automation RPA and artificial intelligence AI includes the following steps:
step 301, obtaining an original form corresponding to each sub-service system.
The business system of each department may be referred to as a sub-business system. The original form is an application form which needs to be filled in by the service systems of different departments originally.
For example, when a user transacts a child enrollment application service, the user may need to submit forms to the service systems of the public security department, the human-social department, the civil administration department, and the like.
It should be noted that the original form of each sub-business system may be a paper form or an electronic form, which is not limited in this disclosure.
Step 302, determining semantic similarity between field names contained in each original form.
The type of data to be filled in the original form may be referred to as a field. For example, in an incoming application form, the data to be filled in includes name, gender, age, identification number, etc., and the name, gender, age, identification number, etc. may be referred to as fields.
In the embodiment of the present disclosure, in order to determine whether the same or similar fields exist in each original form, semantic similarity between the names of the fields included in each original form may be determined.
It should be noted that, in different original tables, the field names corresponding to the same type of service data may be the same or different. For example, the field name in the original form of sub-business system a is the name, and the field name in the original form of sub-business system B is the user name, but both are the same type of business data.
Thus, to identify fields with the same or similar names, the semantics of the field names may be parsed to determine semantic similarity between the field names.
In some embodiments of the present disclosure, a natural language processing service may be invoked to parse the field names to determine semantic similarity between the field names.
Specifically, a deep learning model may be established based on a natural language processing technique to compare text semantics of each field name and determine semantic similarity between each field name.
Natural Language Processing (NLP) is a computer used to process, understand and use human languages (such as chinese and english), which is a cross discipline between computer science and linguistics and is also commonly called computational linguistics. Since natural language is the fundamental mark that humans distinguish from other animals. Without language, human thinking has not been talk about, so natural language processing embodies the highest task and context of artificial intelligence, that is, only when a computer has the capability of processing natural language, the machine has to realize real intelligence.
Step 303, in response to the semantic similarity between the field names being greater than or equal to the threshold, determining that any field name in the field names is a common field.
When the semantic similarity between the field names is greater than or equal to the threshold, it can indicate that the field names are the same or similar. That is, the same type of traffic data exists in the plurality of original forms. At this time, one of the field names may be retained, and determined as a common field.
It should be noted that, in each field name, there may be a plurality of groups of the same or similar field names. For example, there are two field names representing the same type of data and three field names representing another type of data. In the embodiment of the present disclosure, for each group of identical or similar field names, one field name may be respectively selected as a common field.
Step 304, in response to that the semantic similarity between any field name and other field names is smaller than the threshold, determining that any field name is an independent field contained in the corresponding original form.
When the semantic similarity between a field name and other field names is smaller than a threshold, it can be indicated that the field name is unique. That is, the field name exists only in one original form. Thus, the field name can be determined as the independent field that its corresponding original form contains.
In the embodiment of the present disclosure, the threshold may be any value set in advance. For example, the threshold may be 0.8, 0.7, 0.6, etc., which is not limited by this disclosure.
And 305, acquiring the service data corresponding to the common field to generate a common data set.
Step 306, acquiring the service data corresponding to the independent field contained in each original form to generate a sub-service data set.
After determining the common fields existing in each original form and the independent fields contained in each original form, the user is required to fill in the service data corresponding to each field according to the actual situation.
For example, the data fill interface may be provided to the user through a terminal application. The service data corresponding to the public fields can form a public data set, and the service data corresponding to the independent fields contained in one original form can form a sub-service data set independently.
Or, the user may fill in a paper form, and then extract service data corresponding to each field name from the paper form by combining an Optical Character Recognition (OCR) and a Robot Process Automation (RPA) technology. The service data corresponding to the common field can form a common data set, and the service data corresponding to the independent field contained in one original form can separately form a sub-service data set.
And 307, respectively sending the corresponding sub-service data sets to each sub-service system, so that the RPA robots of the sub-service systems fill the sub-service forms according to the service data in the sub-service data sets.
And 308, respectively sending the public data sets to each sub-service system, so that the RPA robots of the sub-service systems extract the service data required by the RPA robots from the public data sets and fill in sub-service forms.
The detailed implementation manner of the steps 307-308 can refer to the detailed description of other embodiments of the disclosure, and is not repeated herein.
In the embodiment of the disclosure, the original forms of each sub-service system are collected and analyzed, the public fields with the same or similar names contained in each original form and the independent fields contained in each original form are determined according to semantics, so that a user can fill in service data required by different service systems at one time, the time and energy of the user are saved, and the service handling efficiency is improved.
Fig. 4 is a flowchart illustrating a form filling method combining robot process automation RPA and artificial intelligence AI according to another embodiment of the present disclosure.
The form filling method combining robot process automation RPA and artificial intelligence AI of the embodiment of the present disclosure is executed by an RPA robot of a sub-service system, as shown in fig. 4, and includes the following steps:
step 401, a public data set and a sub-service data set corresponding to the sub-service system are obtained.
It should be noted that, for specific implementation manners of the public data set, the sub-service system, and the sub-service data set, reference may be made to the detailed description of the foregoing embodiments of the present disclosure, and details are not repeated herein.
Step 402, extracting the first service data from the sub-service data set to fill out the sub-service form.
In step 403, the second service data is extracted from the public data set to fill out the remaining part of the sub-service form.
The service data required by the sub-service system is divided into two parts, and the part which is not repeated with other sub-service systems is the first service data and is contained in the sub-service data set. The portion overlapping with the other sub-service systems is the second service data, which is included in the common data set.
Therefore, the RPA robot of the sub-service system can extract the first service data from the sub-service data set and fill the first service data into the sub-service form of the system. Furthermore, the required second service data can be determined according to the remaining part to be filled in the sub-service form, and the required second service data can be extracted from the public data set.
In the embodiment of the present disclosure, the RPA robot of the sub-service system first obtains the common data set and the sub-service data set corresponding to the sub-service system, then extracts the first service data from the sub-service data set to fill in the sub-service form, and then extracts the second service data from the common data set to fill in the remaining part of the sub-service form. Therefore, different sub-business systems can extract the needed business data from the public data set and the corresponding sub-business data set, so that a user does not need to repeatedly fill the same data in different business systems, manpower and time are saved, and the business handling efficiency is improved.
Fig. 5 is a flowchart illustrating a form filling method combining robot process automation RPA and artificial intelligence AI according to another embodiment of the present disclosure.
As shown in fig. 5, the form filling method combining robot process automation RPA and artificial intelligence AI includes the following steps:
step 501, a public data set and a sub-service data set corresponding to a sub-service system are obtained.
Step 502, extracting the first service data from the sub-service data set to fill in the sub-service form.
It should be noted that, for specific implementation manners of step 501 to step 502, reference may be made to the detailed description of the foregoing embodiments of the present disclosure, and details are not described herein again.
In order to enable each sub-service system to extract the service data required by each sub-service system, the common data set may include a plurality of data pairs, each data pair including a field name and service data corresponding to the field name. Furthermore, the RPA robot of the sub-service system can determine and extract the required service data according to the field name. The method comprises the following specific steps:
step 503, determining the remaining field names to be filled in the sub-service form.
The field names to be filled in the sub-service form, that is, the field names not included in the sub-service data set.
For example, the field names in the sub-business forms include name, age, identification number, contact address, and the like. Wherein only age, identification number are included in the sub-service data set. Therefore, after the RPA robot of the sub-service system extracts the age and the identification number from the sub-service data set and fills in the form, the remaining field names to be filled in include names and contact ways.
Step 504, second service data corresponding to the field name is extracted from the public data set to fill in the remaining part of the sub-service form.
The RPA robot of the sub-service system can match the same field name in the public data set based on the field name to be filled, and further fill the corresponding service data to the corresponding position in the sub-service form.
It should be noted that, since each sub-service system can extract the same service data from the common data set, the corresponding field names of the same type of service data in each sub-service system are the same. For example, when the field name of a certain type of data in the public data set is a name, the field names of the data in each sub-business system are all names.
And 505, submitting a sub-service form to a service approval platform of the sub-service system so that the approval platform determines and returns a service approval result.
After the sub-service forms are filled, the RPA robot of the sub-service system can automatically submit the sub-service forms to the service approval platform, so that the approval platform can approve the compliance of the forms and feed back the service approval results.
For example, the result of the business approval may be pass or fail. When the approval result is failure, the reason of failure can be further shown so as to carry out rectification at a later period.
In the embodiment of the disclosure, the sub-service system extracts the required service data from the public data set according to the field name, so that the user does not need to repeatedly fill the same data in different service systems, thereby not only saving manpower and time, but also improving the service handling efficiency.
The form filling method combining robot process automation RPA and artificial intelligence AI provided by the present disclosure is described in detail below with reference to specific application scenarios.
Supposing that when a user transacts the children's admission application business, the user needs to submit examination and approval items to a public security department, a civil administration department, a human-society department and a medical insurance department respectively, and finally, whether the children's admission application business passes or not is determined according to examination and approval results of the departments.
In the embodiment of the disclosure, the RPA robot of the form management system may collect forms to be filled in the service management systems of the police department, the civil administration department, the human and social department, and the medical insurance department, and respectively extract field information to be filled in each form. Then, determining fields with the same or similar names in each form based on AI technology, and performing de-duplication and combination on the fields with the same or similar names to generate a common information sub-table shared by each service system. And meanwhile, classifying the rest fields in the form of each service system according to different departments to generate a service sub-form corresponding to each service system. And finally, combining the public information sub-table with each service sub-table to generate a universal form.
When the user transacts the business, only all parts in the universal form, namely the public information sub-form part and all business sub-form parts, need to be filled in. After the RPA robot of the form management system acquires the filled general form, the data in the public information sub-form can be extracted to generate a public data set; and respectively extracting the data in each service sub-table to generate a corresponding sub-service data set. Then, the RPA robot of the form management system may send the common data set to the service management systems of the respective departments, and send the respective sub-service data sets to the service management systems of the corresponding departments.
After the service management system of each department receives the public data set and the corresponding sub-service data set, the system can be automatically logged in through the RPA robot, a menu is entered, required data are extracted from the sub-service data set and the public data set, and a form is filled and submitted.
And after the business management system of each department finishes the examination and approval of the form application items, the RPA robot synchronously feeds back the examination and approval results to the form management system for gathering. Therefore, the form operation that the user needs to submit part of contents for many times originally is converted into one-time submission operation, the service handling time is finally shortened, and the user experience is improved.
In order to implement the above embodiments, the present disclosure further provides a form filling device combining robot process automation RPA and artificial intelligence AI.
Fig. 6 is a schematic structural diagram of a form filling apparatus combining robot process automation RPA and artificial intelligence AI according to an embodiment of the present disclosure.
As shown in fig. 6, the form filling apparatus 600 combining robot process automation RPA and artificial intelligence AI includes: a first obtaining module 610, a first sending module 620 and a second sending module 630.
The first obtaining module 610 is configured to obtain an integrated service data set, where the integrated service data set includes a common data set and sub-service data sets corresponding to multiple sub-service systems, respectively, where the common data set includes service data required by the multiple sub-service systems, and the service data in the common data set is different from the service data in each sub-service data set;
a first sending module 620, configured to send a corresponding sub-service data set to each sub-service system, so that an RPA robot of the sub-service system fills a sub-service form according to service data in the sub-service data set;
a second sending module 630, configured to send the common data set to each sub-service system, so that the RPA robots of the sub-service systems extract the service data required by each sub-service system from the common data set, and fill in the sub-service forms.
It should be noted that, for the functions and the specific implementation principles of the modules in the embodiments of the present disclosure, reference may be made to the embodiments of the methods described above, and details are not described here again.
The form filling device combining Robot Process Automation (RPA) and Artificial Intelligence (AI) provided by the embodiment of the disclosure firstly obtains a comprehensive service data set, wherein the comprehensive service data set comprises a public data set and sub-service data sets respectively corresponding to a plurality of sub-service systems, the public data set comprises service data required by the plurality of sub-service systems, and the service data in the public data set is different from the service data in each sub-service data set; then, respectively sending corresponding sub-service data sets to each sub-service system, so that the RPA robot of the sub-service system fills a sub-service form according to the service data in the sub-service data sets; and finally, respectively sending the public data set to each sub-service system, so that the RPA robot of the sub-service system extracts the service data required by the RPA robot from the public data set and fills in the sub-service form. The method and the system combine RPA and AI technologies to send the public data set to each sub-service system needing to share service data, so that different sub-service systems can extract the service data needed by each sub-service system from the public data set and the corresponding sub-service data set, a user does not need to repeatedly fill the same data in different service systems, manpower and time are saved, and the service handling efficiency is improved.
In some embodiments of the disclosure, the first obtaining module comprises:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring a comprehensive service form, and the comprehensive service form comprises a public information sub-form and service sub-forms respectively corresponding to a plurality of sub-service systems;
the first generation unit is used for extracting service data from the public information sub-table to generate a public data set;
and the second generating unit is used for respectively extracting the service data from each service sub-table to generate a sub-service data set.
In some embodiments of the disclosure, the first obtaining module comprises:
the second obtaining unit is used for obtaining the original form corresponding to each sub-service system;
the determining unit is used for determining the public fields contained in each original form and the independent fields contained in each original form according to the similarity of the field names contained in each original form;
a third obtaining unit, configured to obtain service data corresponding to the public field to generate a public data set;
and the fourth obtaining unit is used for obtaining the service data corresponding to the independent field contained in each original form so as to generate a sub-service data set.
In some embodiments of the disclosure, in response to the integrated services form being a paper form, the first generating unit is to:
calling an Optical Character Recognition (OCR) service, and extracting service data from the public information sub-table to generate a public data set;
the second generating unit is used for:
and calling an Optical Character Recognition (OCR) service, and extracting business data from the business sub-table to generate a sub-business data set.
In some embodiments of the present disclosure, the determining unit includes:
the first determining subunit is used for determining semantic similarity among field names contained in each original form;
a second determining subunit, configured to determine, in response to a semantic similarity between the plurality of field names being greater than or equal to a threshold, that any one of the plurality of field names is a common field;
and the third determining subunit is used for determining any field name as an independent field contained in the corresponding original form in response to that the semantic similarity between any field name and other field names is smaller than a threshold value.
In some embodiments of the present disclosure, the first determining subunit is configured to:
and calling a Natural Language Processing (NLP) service, and analyzing the field names contained in the original forms to determine the semantic similarity between the field names.
In some embodiments of the disclosure, the apparatus further includes a second obtaining module, configured to obtain a business approval result of each sub-business system.
It should be noted that, for the functions and the specific implementation principles of the modules in the embodiments of the present disclosure, reference may be made to the embodiments of the methods described above, and details are not described here again.
Fig. 7 is a schematic structural diagram of a form filling apparatus combining robot process automation RPA and artificial intelligence AI according to another embodiment of the present disclosure.
As shown in fig. 7, the form filling apparatus 700 combining robot process automation RPA and artificial intelligence AI includes: an acquisition module 710, a first filling module 720, and a second filling module 730.
An obtaining module 710, configured to obtain a public data set and a sub-service data set corresponding to a sub-service system;
a first filling module 720, configured to extract the first service data from the sub-service data set to fill the sub-service form;
a second filling module 730, configured to extract second service data from the common data set to fill the remaining part in the sub-service form.
It should be noted that, the functions and specific implementation principles of the above modules in the embodiments of the present disclosure may refer to the above method embodiments, and are not described herein again.
In the form filling device combining Robot Process Automation (RPA) and Artificial Intelligence (AI) provided by the embodiment of the disclosure, an RPA robot of a sub-service system first acquires a public data set and a sub-service data set corresponding to the sub-service system, then extracts first service data from the sub-service data set to fill a sub-service form, and then extracts second service data from the public data set to fill the rest of the sub-service form. Therefore, different sub-business systems can extract the needed business data from the public data set and the corresponding sub-business data set, so that a user does not need to repeatedly fill the same data in different business systems, manpower and time are saved, and the business handling efficiency is improved.
In some embodiments of the present disclosure, the public data set includes a plurality of data pairs, each data pair includes a field name and service data corresponding to the field name, and the second filling module is configured to:
determining the name of the field to be filled in the sub-service form;
and extracting second service data corresponding to the field name from the public data set.
In some embodiments of the present disclosure, the apparatus further includes a submission module, configured to submit the sub-business form to a business approval platform of the sub-business system, so that the approval platform determines and returns a business approval result.
It should be noted that, for the functions and the specific implementation principles of the modules in the embodiments of the present disclosure, reference may be made to the embodiments of the methods described above, and details are not described here again.
In order to implement the above embodiments, the present disclosure further provides an electronic device.
Fig. 8 is a schematic structural diagram of an electronic device incorporating a form filling method of robot process automation RPA and artificial intelligence AI according to an embodiment of the present disclosure.
As shown in fig. 8, the electronic device 800 includes:
a memory 810 and a processor 820, a bus 830 connecting different components (including the memory 810 and the processor 820), the memory 810 storing a computer program, and the processor 820 implementing the form filling method combining robot process automation RPA and artificial intelligence AI of the disclosed embodiment when executing the program.
Bus 830 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
The electronic device 800 typically includes a variety of electronic device readable media. Such media may be any available media that is accessible by electronic device 200 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 810 may also include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)840 and/or cache memory 850. The electronic device 800 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 860 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 8, and commonly referred to as a "hard drive"). Although not shown in FIG. 8, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 830 by one or more data media interfaces. Memory 810 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the disclosure.
A program/utility 880 having a set (at least one) of program modules 870 may be stored, for example, in memory 810, such program modules 870 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 870 generally perform the functions and/or methodologies of embodiments described in this disclosure.
The electronic device 800 may also communicate with one or more external devices 890 (e.g., keyboard, pointing device, display 891, etc.), with one or more devices that enable a user to interact with the electronic device 800, and/or with any devices (e.g., network card, modem, etc.) that enable the electronic device 800 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 892. Also, the electronic device 800 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 893. As shown, the network adapter 893 communicates with the other modules of the electronic device 800 over a bus 830. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processor 820 executes various functional applications and form filling by executing programs stored in the memory 810.
It should be noted that, for the implementation process and the technical principle of the electronic device of this embodiment, reference is made to the foregoing explanation of the form filling method combining robot process automation RPA and artificial intelligence AI according to the embodiment of the present disclosure, and details are not described herein again.
The electronic device provided by the embodiment of the disclosure can execute the form filling method combining Robot Process Automation (RPA) and Artificial Intelligence (AI) as before, and first obtains a comprehensive service data set, wherein the comprehensive service data set comprises a public data set and sub-service data sets respectively corresponding to a plurality of sub-service systems, the public data set comprises service data required by the plurality of sub-service systems, and the service data in the public data set is different from the service data in each sub-service data set; then respectively sending corresponding sub-service data sets to each sub-service system so as to enable the sub-service systems to extract service data from the sub-service data sets; and finally, respectively sending the public data set to each sub-service system so that the sub-service systems extract the service data required by the sub-service systems from the public data set. The method and the system combine RPA and AI technologies to send the public data set to each sub-service system needing to share service data, so that different sub-service systems can extract the service data needed by each sub-service system from the public data set and the corresponding sub-service data set, a user does not need to repeatedly fill the same data in different service systems, manpower and time are saved, and the service handling efficiency is improved.
In order to implement the above embodiments, the present disclosure also proposes a computer-readable storage medium.
The computer readable storage medium has a computer program stored thereon, and when the program is executed by a processor, the program implements the form filling method combining Robot Process Automation (RPA) and Artificial Intelligence (AI) according to the embodiment of the disclosure.
To implement the above embodiments, a further embodiment of the present disclosure provides a computer program, which when executed by a processor, implements the form filling method of the embodiments of the present disclosure that combines robot process automation RPA and artificial intelligence AI.
In an alternative implementation, the embodiments may be implemented in any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the consumer electronic device, partly on the consumer electronic device, as a stand-alone software package, partly on the consumer electronic device and partly on a remote electronic device, or entirely on the remote electronic device or server. In the case of remote electronic devices, the remote electronic devices may be connected to the consumer electronic device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external electronic device (e.g., through the internet using an internet service provider).
According to the technical scheme of the disclosure, firstly, acquiring an integrated service data set, wherein the integrated service data set comprises a public data set and sub-service data sets respectively corresponding to a plurality of sub-service systems, the public data set comprises service data required by the plurality of sub-service systems, and the service data in the public data set is different from the service data in each sub-service data set; then respectively sending corresponding sub-service data sets to each sub-service system so as to enable the sub-service systems to extract service data from the sub-service data sets; and finally, respectively sending the public data set to each sub-service system so that the sub-service systems extract the service data required by the sub-service systems from the public data set. The method and the system combine RPA and AI technologies to send the public data set to each sub-service system needing to share service data, so that different sub-service systems can extract the service data needed by each sub-service system from the public data set and the corresponding sub-service data set, a user does not need to repeatedly fill the same data in different service systems, manpower and time are saved, and the service handling efficiency is improved.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (20)

1. A form filling method combining robot process automation, RPA, and artificial intelligence, AI, the method being performed by an RPA robot of a form management system, the method comprising:
acquiring an integrated service data set, wherein the integrated service data set comprises a public data set and sub-service data sets respectively corresponding to a plurality of sub-service systems, the public data set comprises service data required by the plurality of sub-service systems, and the service data in the public data set is different from the service data in each sub-service data set;
respectively sending the corresponding sub-service data sets to each sub-service system, so that an RPA robot of the sub-service system fills a sub-service form according to the service data in the sub-service data sets;
and respectively sending the public data set to each sub-service system, so that the RPA robot of the sub-service system extracts the service data required by the RPA robot from the public data set and fills the sub-service form.
2. The method of claim 1, wherein said obtaining an integrated services data set comprises:
acquiring a comprehensive service form, wherein the comprehensive service form comprises a public information sub-form and service sub-forms respectively corresponding to a plurality of sub-service systems;
extracting service data from the public information sub-table to generate the public data set;
and respectively extracting service data from each service sub-table to generate the sub-service data sets.
3. The method of claim 1, wherein said obtaining an integrated services data set comprises:
acquiring an original form corresponding to each sub-service system;
according to the similarity of the field names contained in each original form, determining a public field contained in each original form and an independent field contained in each original form;
acquiring service data corresponding to the public field to generate the public data set;
and acquiring the service data corresponding to the independent field contained in each original form to generate the sub-service data set.
4. The method of claim 2, wherein said extracting business data from said common information sub-form to generate said common data set in response to said integrated business form being a paper form comprises:
calling an Optical Character Recognition (OCR) service, and extracting business data from the public information sub-table to generate the public data set;
the extracting service data from each service sub-table to generate the sub-service data set respectively includes:
and calling an Optical Character Recognition (OCR) service, and extracting business data from the business sub-table to generate the sub-business data set.
5. The method of claim 3, wherein the determining the common fields contained in the original forms and the independent fields contained in each original form according to the similarity of the field names contained in the original forms comprises:
determining semantic similarity among field names contained in the original forms;
in response to a semantic similarity between a plurality of field names being greater than or equal to a threshold, determining that any of the plurality of field names is the common field;
and in response to that the semantic similarity between any field name and other field names is smaller than the threshold value, determining that any field name is the independent field contained in the corresponding original form.
6. The method of claim 5, wherein said determining semantic similarity between field names contained in said original forms comprises:
and calling Natural Language Processing (NLP) service, and analyzing the field names contained in the original forms to determine semantic similarity among the field names.
7. The method of any of claims 1-6, further comprising, after said transmitting said common data set to each of said sub-business systems, respectively:
and acquiring a service approval result of each sub-service system.
8. A form filling method combining Robot Process Automation (RPA) and Artificial Intelligence (AI), the method being performed by an RPA robot of a sub-business system, the method comprising:
acquiring a public data set and a sub-service data set corresponding to the sub-service system;
extracting first service data from the sub-service data set to fill in a sub-service form;
second business data is extracted from the common data set to fill in the remainder of the sub-business form.
9. The method of claim 8, wherein the common data set includes a plurality of data pairs, each of the data pairs including a field name and service data corresponding to the field name, and wherein extracting second service data from the common data set comprises:
determining the field name to be filled in the sub-service form;
and extracting the second service data corresponding to the field name from the public data set.
10. A method according to claim 8 or 9, wherein after said extracting second service data from said common data set to fill out a remainder of said sub-service form, further comprising:
and submitting the sub-business form to a business approval platform of the sub-business system so that the approval platform determines and returns a business approval result.
11. A form filling device combining Robot Process Automation (RPA) and Artificial Intelligence (AI), comprising:
the system comprises a first acquisition module, a first processing module and a second processing module, wherein the first acquisition module is used for acquiring a comprehensive service data set, the comprehensive service data set comprises a public data set and sub-service data sets respectively corresponding to a plurality of sub-service systems, the public data set comprises service data required by the plurality of sub-service systems, and the service data in the public data set is different from the service data in each sub-service data set;
the first sending module is used for sending the corresponding sub-service data sets to each sub-service system respectively so that the RPA robot of the sub-service system fills in sub-service forms according to the service data in the sub-service data sets;
and the second sending module is used for sending the public data set to each sub-service system respectively so that the RPA robots of the sub-service systems extract the service data required by the RPA robots from the public data set and fill in the sub-service forms.
12. The apparatus of claim 11, wherein the first obtaining module comprises:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring a comprehensive service form, and the comprehensive service form comprises a public information sub-form and a plurality of service sub-forms respectively corresponding to the sub-service systems;
a first generating unit, configured to extract service data from the public information sub-table to generate the public data set;
and the second generating unit is used for respectively extracting service data from each service sub-table to generate the sub-service data set.
13. The apparatus of claim 11, wherein the first obtaining module comprises:
the second obtaining unit is used for obtaining an original form corresponding to each sub-service system;
the determining unit is used for determining the public fields contained in each original form and the independent fields contained in each original form according to the similarity of the field names contained in each original form;
a third obtaining unit, configured to obtain service data corresponding to the common field to generate the common data set;
and the fourth obtaining unit is configured to obtain service data corresponding to an independent field included in each original form, so as to generate the sub-service data set.
14. The apparatus of claim 13, wherein the determination unit is to:
determining semantic similarity among field names contained in the original forms;
determining that any of a plurality of field names is the common field in response to a semantic similarity between the field names being greater than or equal to a threshold;
and in response to that the semantic similarity between any field name and other field names is smaller than the threshold value, determining that any field name is the independent field contained in the corresponding original form.
15. The apparatus of any of claims 11-14, further comprising:
and the second acquisition module is used for acquiring the service approval result of each sub-service system.
16. A form filling device combining Robot Process Automation (RPA) and Artificial Intelligence (AI), comprising:
the acquisition module is used for acquiring a public data set and a sub-service data set corresponding to the sub-service system;
the first filling module is used for extracting first service data from the sub-service data set so as to fill a sub-service form;
and the second filling module is used for extracting second service data from the public data set so as to fill the rest part in the sub-service form.
17. The apparatus of claim 16, wherein the common data set comprises a plurality of data pairs, each data pair comprising a field name and business data corresponding to the field name, and the second filling module is configured to:
determining the names of the remaining fields to be filled in the sub-service forms;
and extracting the second service data corresponding to the field name from the public data set.
18. An electronic device, comprising: memory, processor and program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1-10 when executing the program.
19. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-10.
20. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-10.
CN202210147414.1A 2022-02-17 2022-02-17 Form filling method and device combining RPA and AI, electronic equipment and storage medium Pending CN114626351A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115619356A (en) * 2022-12-16 2023-01-17 广州明动软件股份有限公司 Data automatic synchronization convergence and distribution method and system based on event public data
CN116663514A (en) * 2023-07-25 2023-08-29 中国人民解放军国防科技大学 Configurable form data distribution method and device
CN116663509A (en) * 2023-08-02 2023-08-29 四川享宇科技有限公司 Automatic information acquisition and filling robot for banking complex system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115619356A (en) * 2022-12-16 2023-01-17 广州明动软件股份有限公司 Data automatic synchronization convergence and distribution method and system based on event public data
CN116663514A (en) * 2023-07-25 2023-08-29 中国人民解放军国防科技大学 Configurable form data distribution method and device
CN116663509A (en) * 2023-08-02 2023-08-29 四川享宇科技有限公司 Automatic information acquisition and filling robot for banking complex system
CN116663509B (en) * 2023-08-02 2023-09-29 四川享宇科技有限公司 Automatic information acquisition and filling robot for banking complex system

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