License generation method and device combining RPA and AI

Abstract

This application proposes a license generation method, device, and electronic device that combine RPA and AI. The license generation method includes: receiving a license application request from a user and determining multiple target business systems based on the application request; sending the query request to an RPA query robot in the multiple target business systems; receiving query results corresponding to the query request from the RPA query robot; and generating the relevant license based on the query results. This optimizes the license application process, makes business system adaptation more flexible, and significantly improves license application efficiency.

Description

Technical Field

[0001] The present application relates to the fields of RPA and AI technology, and to a license generation method, device, and electronic device that combine RPA and AI. Background Art

[0002] Robotic Process Automation (RPA) uses specific "robot software" to simulate human operations on computers and automatically execute process tasks according to rules.

[0003] Artificial Intelligence (AI) is a technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

[0004] At present, RPA and AI technologies have the advantages of high automation, high precision and low cost, and have been widely used.

[0005] In related technologies, the "one industry, one license" reform refers to optimizing the industry access business process, integrating multiple licenses involved in an industry access into one "industry comprehensive license", significantly reducing the approval links and time limits, simplifying the approval procedures, effectively improving administrative efficiency and work efficiency, and further stimulating the development vitality of market entities.

[0006] At present, the current certificate management system is usually a WEB (World Wide Web) and mobile product developed based on programming languages. It connects with the existing multi-terminal business system data through API (Application Programming Interface), thereby obtaining a variety of non-uniform and standard structured data information, and then generates standard data for its own system through association or normalization methods, and finally realizes the certificate issuance, printing and electronic display of "industry comprehensive licenses". Summary of the Invention

[0007] The present application aims to solve at least one of the technical problems in the above-mentioned technology to a certain extent.

[0008] To this end, the first purpose of this application is to propose a license generation method that combines RPA and AI, which can optimize the license application process, make the adaptation of the business system more flexible, and greatly improve the efficiency of license application.

[0009] The second purpose of this application is to propose a license generation device that combines RPA and AI.

[0010] The third objective of this application is to provide an electronic device.

[0011] The fourth object of this application is to provide a computer-readable storage medium.

[0012] A fifth object of this application is to provide a computer program product.

[0013] To achieve the above-mentioned objectives, the first aspect embodiment of the present application proposes a license generation method combining RPA and AI, including: receiving a license application request sent by a user, and determining multiple target business systems based on the license application request; sending a query request to the RPA query robot of the multiple target business systems; receiving the query result corresponding to the query request fed back by the RPA query robot; and generating relevant licenses based on the query results.

[0014] According to the license generation method combining RPA and AI in an embodiment of this application, a license application request is first received from a user. Based on the license application request, multiple target business systems are identified. The RPA query robot then sends the query request to the multiple target business systems. The RPA query robot then receives the query results corresponding to the query request and generates the relevant license based on the query results. This optimizes the license application process, makes the business system more flexible, and greatly improves license application efficiency.

[0015] In addition, the license generation method combining RPA and AI proposed in the above embodiments of the present application may also have the following additional technical features:

[0016] In one embodiment of the present application, generating the relevant license according to the query result includes: parsing the query result to obtain business data of the multiple target business systems; and generating the license according to the business data of the multiple target business systems.

[0017] In one embodiment of the present application, generating the license based on the business data of the multiple target business systems includes: formatting the business data through an RPA data cleaning robot to obtain multiple target business data, wherein the RPA data cleaning robot format-cleans the business data based on natural language processing NLP (Natural Language Processing); associating the multiple target business data through an RPA data association robot to obtain associated items, and generating unique identifiers of the multiple target business data based on the associated items, and extracting certificate data from the multiple target business data based on the associated items; generating an access link based on the unique identifier through an RPA QR code generation robot, and generating a QR code for the access link; and writing the QR code and the certificate data into the corresponding license template file through the RPA certificate robot to generate the license.

[0018] In one embodiment of the present application, the license includes an industry comprehensive license and at least one other license, wherein the industry comprehensive license includes the QR code.

[0019] In one embodiment of the present application, the license generation method combining RPA and AI further includes uploading the at least one other license to the display directory corresponding to the access link through the RPA link management robot.

[0020] In one embodiment of the present application, generating the license based on the business data of the multiple target business systems further includes: detecting the business data through the RPA data cleaning robot; if it is detected that the business data contains missing data, generating relevant reminder information and providing the reminder information to the user; receiving the supplementary data sent by the user through the RPA data cleaning robot, and writing the supplementary data into the business data.

[0021] To achieve the above-mentioned purpose, the second aspect embodiment of the present application proposes a license generation device combining RPA and AI, including: a first receiving module, used to receive a license application request sent by a user, and determine multiple target business systems based on the license application request; a sending module, used to send the query request to the RPA query robot of the multiple target business systems; a second receiving module, used to receive the query result corresponding to the query request fed back by the RPA query robot; a generation module, used to generate relevant licenses based on the query result.

[0022] The license generation device combining RPA and AI in this embodiment of the application first receives a license application request from a user through a first receiving module, determines multiple target business systems based on the license application request, then sends the query request to RPA query robots in the multiple target business systems through a sending module. A second receiving module receives the query results corresponding to the query request from the RPA query robots, and finally, a generation module generates the relevant license based on the query results. This optimizes the license application process, makes business system adaptation more flexible, and significantly improves license application efficiency.

[0023] In addition, the license generation device combining RPA and AI proposed in the above embodiments of the present application may also have the following additional technical features:

[0024] In one embodiment of the present application, the generation module includes: a parsing unit for parsing the query result to obtain the business data of the multiple target business systems; or a generation unit for generating the license based on the business data of the multiple target business systems.

[0025] In one embodiment of the present application, the generation unit is further used to: perform format cleaning on the business data through an RPA data cleaning robot to obtain multiple target business data, wherein the RPA data cleaning robot performs format cleaning on the business data based on natural language processing (NLP); associate the multiple target business data through an RPA data association robot to obtain associated items, and generate unique identifiers of the multiple target business data based on the associated items, and extract certificate data from the multiple target business data based on the associated items; generate an access link based on the unique identifier through an RPA QR code generation robot, and generate a QR code for the access link; write the QR code and the certificate data into the corresponding license template file through the RPA certificate robot to generate the license.

[0026] In one embodiment of the present application, the license includes an industry comprehensive license and at least one other license, wherein the industry comprehensive license includes the QR code.

[0027] In one embodiment of the present application, the generating unit is further configured to: upload the at least one other license to the display directory corresponding to the access link through an RPA link management robot.

[0028] In one embodiment of the present application, the generation module is further used to: detect the business data through the RPA data cleaning robot; if missing data is detected in the business data, generate relevant reminder information and provide the reminder information to the user; receive supplementary data sent by the user through the RPA data cleaning robot, and write the supplementary data into the business data.

[0029] To achieve the above-mentioned objectives, the third aspect embodiment of the present application proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the license generation method combining RPA and AI as described in the first aspect embodiment of the present application.

[0030] The electronic device of the embodiment of the present application executes instructions stored in a memory via a processor, receives a user's application request, determines multiple target business systems based on the application request, sends the query request to RPA query robots in the multiple target business systems, receives query results corresponding to the query request from the RPA query robot, and generates relevant licenses based on the query results. This optimizes the application process, makes the adaptation of business systems more flexible, and greatly improves application efficiency.

[0031] To achieve the above-mentioned objectives, the fourth embodiment of the present application proposes a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, it implements the license generation method combining RPA and AI as described in the first embodiment of the present application.

[0032] The computer-readable storage medium of an embodiment of the present application stores a computer program and is executed by a processor. The medium receives a license application request from a user, determines multiple target business systems based on the license application request, sends the query request to RPA query robots in the multiple target business systems, then receives query results corresponding to the query request from the RPA query robot, and finally generates the relevant license based on the query results. This optimizes the license application process, makes the business system more flexible, and greatly improves license application efficiency.

[0033] To achieve the above-mentioned objectives, the fifth embodiment of the present application proposes a computer program product, including a computer program, which, when executed by a processor, implements the license generation method combining RPA and AI as described in the first embodiment of the present application.

[0034] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0036] Figure 1 This is a flowchart of a license generation method combining RPA and AI according to one embodiment of the present application;

[0037] Figure 2 This is a schematic diagram of the platform architecture of a "one business, one license" management system according to a specific embodiment of the present application;

[0038] Figure 3 This is a flowchart of a license generation method combining RPA and AI according to another embodiment of the present application;

[0039] Figure 4 This is a flowchart of a license generation method combining RPA and AI according to another embodiment of the present application;

[0040] Figure 5 A schematic diagram of an industry comprehensive license according to a specific embodiment of the present application;

[0041] Figure 6A schematic diagram of a business license template according to a specific embodiment of the present application;

[0042] Figure 7 is a schematic diagram of a display directory according to a specific embodiment of the present application;

[0043] Figure 8 A flowchart of a license generation method combining RPA and AI according to another embodiment of the present application; and

[0044] Figure 9 The figure is a block diagram of a license generation device combining RPA and AI according to one embodiment of the present application. DETAILED DESCRIPTION

[0045] The following describes in detail embodiments of the present application. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0046] The following describes the license generation method, device, electronic device, and computer-readable storage medium combining RPA and AI in accordance with an embodiment of the present application with reference to the accompanying drawings.

[0047] In order to clearly understand the technical solutions of the embodiments of the present application, the key words involved in the embodiments of the present application are explained below:

[0048] The "one industry, one license" reform refers to optimizing the industry access business process, integrating multiple licenses involved in an industry access into one "industry comprehensive license", significantly reducing the approval links and time limits, simplifying the approval procedures, effectively improving administrative efficiency and work efficiency, and further stimulating the development vitality of market entities.

[0049] The license generation method combining RPA and AI provided in the embodiment of the present application can be executed by an electronic device, which can be a PC (Personal Computer), a tablet computer, a PDA or a mobile phone, etc., without any limitation here.

[0050] In an embodiment of the present application, an electronic device may be provided with a processing component, a storage component, and a driver component. Optionally, the driver component and the processing component may be integrated, the storage component may store an operating system, application programs, or other program modules, and the processing component implements the license generation method combining RPA and AI provided in an embodiment of the present application by executing the application programs stored in the storage component.

[0051] Figure 1The figure is a flowchart of a license generation method combining RPA and AI according to an embodiment of the present application.

[0052] The license generation method combining RPA and AI in the embodiment of the present application can also be executed by the license generation device combining RPA and AI provided in the embodiment of the present application. The device can be configured in an electronic device to receive the license application request sent by the user, and determine multiple target business systems based on the license application request, and send the query request to the RPA query robot of the multiple target business systems, and then receive the query results corresponding to the query request fed back by the RPA query robot, and generate relevant licenses based on the query results, thereby optimizing the license application process, making the adaptation of the business system more flexible, and greatly improving the efficiency of license application.

[0053] As a possible scenario, the license generation method combining RPA and AI in an embodiment of the present application can also be executed on the server side. The server can be a cloud server, and the license generation method combining RPA and AI can be executed in the cloud.

[0054] like Figure 1 As shown, the license generation method combining RPA and AI may include:

[0055] S101, receiving a certificate application request sent by a user, and determining multiple target business systems according to the certificate application request.

[0056] It should be noted that the execution entity of the license generation method combining RPA and AI in the embodiment of the present application may be a Robotic Process Automation (RPA) system, or may be a license generation device combining RPA and AI in the embodiment of the present application. The above-mentioned RPA system and / or license generation device combining RPA and AI can be configured in any electronic device to execute the license generation method combining RPA and AI in the embodiment of the present application. Optionally, the above-mentioned RPA system may include an RPA robot.

[0057] In the embodiments of this application, there are multiple ways to send a license application request. The license application request can be sent by the user through a relevant client, or by relevant license application personnel on the user's behalf based on the relevant system requirements as described by the user. There are no limitations here. The license application request can be multiple, meaning that a user can apply for comprehensive licenses for multiple industries simultaneously.

[0058] In the embodiment of the present application, the application request can be parsed according to a preset parsing algorithm to determine multiple target business systems. The preset parsing algorithm can be calibrated according to actual conditions.

[0059] Specifically, after receiving the certificate application request sent by the user, the electronic device can parse the certificate application request according to a preset parsing algorithm to determine the business systems of multiple licenses involved in the "industry comprehensive license" to be processed by the certificate application request, and use these business systems as target business systems. Among them, the business system can be a certificate management system. Among them, see Figure 2 The electronic device can receive the above-mentioned certificate application request through the "one industry, one certificate" management system and perform subsequent certificate application operations. The "one industry, one certificate" management system can be a robotic process automation (RPA) system.

[0060] As a possible scenario, the application request can also be parsed according to the parsing model to determine multiple target business systems. It should be noted that the parsing model described in this embodiment can be trained in advance and pre-stored in the storage space of the server for easy retrieval and application.

[0061] The training and generation of the parsing model can be performed by a related training server, which can be a cloud server or a computer host. A communication connection is established between the training server and the electronic device that can execute the license generation method combining RPA and AI provided in the application embodiment. The communication connection can be at least one of a wireless network connection and a wired network connection. The training server can send the trained parsing model to the electronic device so that the electronic device can call it when needed, thereby significantly reducing the computing pressure of the electronic device.

[0062] Specifically, after receiving the certificate application request sent by the user, the electronic device can call out the parsing model from its own storage space and input the certificate application request into the parsing model, thereby parsing the certificate application request through the parsing model to obtain the target business system output by the parsing model (i.e., relevant information of the target business system).

[0063] As another possible scenario, the electronic device may also use a parsing tool (eg, a plug-in) to parse the certificate application request to determine multiple target business systems.

[0064] S102: Send the query request to the RPA query robots of multiple target business systems.

[0065] In an embodiment of the present application, the query request may include a query account signal for the RPA query robot to query relevant data based on the permissions of the query account.

[0066] It should be noted that the query request described in this embodiment can be a system default request or a request generated based on a certificate application request and multiple target business systems. The query request can be one or more. When there is only one query request, multiple target business systems can perform related data queries based on the query request. When there are multiple query requests, i.e., one query request for each target business system, multiple target business systems can perform related data queries based on their respective corresponding query requests.

[0067] In the examples of this application, see Figure 2 , you can deploy an RPA query robot in each of the multiple target business systems. Specifically, you can create an RPA query robot for each target business system. This RPA query robot can be developed based on the process rules of each business system. It doesn't require an open interface for the current business system; all it requires is an account with data query permissions. This allows RPA components to quickly complete data collection. (This may be due to legacy systems or issues with the original vendor's support.)

[0068] Specifically, see Figure 2 After acquiring multiple target business systems, the electronic device can send the query requests generated by the multiple target business systems based on the application request and the query requests to the RPA query robots in the multiple target business systems. After receiving the query requests, each RPA query robot can query relevant data based on the query requests and feedback the query results to the electronic device.

[0069] It should be noted that multiple RPA query robots can also be set up in the target business system described in this embodiment according to needs, and no limitation is made here.

[0070] As a possible scenario, the RPA query robot described in the above embodiment can also be set in a server, which can be a cloud server, and the cloud server is the server of the above-mentioned multiple target business systems.

[0071] Specifically, after obtaining multiple target business systems, the electronic device can generate a query request based on the certificate application request and the multiple target business systems, and send the query request to the above-mentioned server. After receiving the query request, the server can call the relevant API (Application Programming Interface) interface according to the query request to query relevant data from multiple target business systems respectively, and feedback the query results to the electronic device.

[0072] S103: Receive the query result corresponding to the query request fed back by the RPA query robot.

[0073] S104: Generate relevant licenses based on the query results.

[0074] Specifically, after receiving the query results corresponding to the query request fed back by the RPA query robot, the electronic device can parse the query results to obtain the business data queried from each target business system, and generate relevant licenses (for example, industry comprehensive licenses, business licenses, registration licenses, etc.) based on the business data.

[0075] Furthermore, in order to improve the accuracy of generating relevant licenses, after obtaining the above-mentioned business data, the electronic device can first pre-process the business data, unify the format of the business data, and detect whether there is missing data in the business data. If so, relevant reminder information can be generated based on the missing data and fed back to the user, so that the user can supplement the data according to the reminder information.

[0076] In this embodiment of the application, a user's application request is first received, and multiple target business systems are determined based on the application request. The query request is then sent to RPA query robots in the multiple target business systems, and the RPA query robots receive the query results corresponding to the query request. Finally, the relevant license is generated based on the query results. This optimizes the application process, makes the business system more flexible, and greatly improves application efficiency.

[0077] In order to clearly illustrate the above embodiment, in one embodiment of the present application, Figure 3 As shown, the relevant licenses are generated based on the query results, which may include:

[0078] S301: parse the query result to obtain business data of multiple target business systems.

[0079] In the embodiment of the present application, the query results can be parsed according to a preset query result parsing algorithm to obtain business data of multiple target business systems. The preset query result parsing algorithm can be calibrated according to actual conditions.

[0080] Specifically, after receiving the query results corresponding to the query request fed back by the RPA query robot, the electronic device can parse the query results according to a preset query result parsing algorithm to obtain business data of multiple target business systems.

[0081] As one possible scenario, after receiving the query results corresponding to the query request fed back by the RPA query robot, the electronic device may also parse the query results according to the query result parsing model to obtain business data from multiple target business systems. It should be noted that the query result parsing model described in this embodiment can be pre-trained and pre-stored in the server's storage space for easy access and application.

[0082] S302: Generate a license based on the business data of multiple target business systems.

[0083] In order to clearly illustrate the above embodiment, in one embodiment of the present application, Figure 4 As shown, generating a license based on business data of multiple target business systems may include:

[0084] S401: Format cleansing of business data is performed by an RPA data cleaning robot to obtain multiple target business data. The RPA data cleaning robot formats the business data based on natural language processing (NLP).

[0085] It should be noted that the RPA data cleaning robot described in this embodiment can be responsible for standardizing the data collection format, filtering out null values, and other operations. Using rule configuration, users can set the fields that need to be processed according to the data conditions of different systems, including but not limited to processing rules (such as non-empty, numeric, text, data length, etc.) and processing methods (if it is empty, set a default value).

[0086] Specifically, see Figure 2 After obtaining the business data of multiple target business systems, the electronic device can input the business data of the multiple target business systems into the RPA data cleaning robot. The RPA data cleaning robot can perform format cleaning operations such as unified data collection format, filtering null values, etc. on the business data according to the rule configuration, and output the business data after format cleaning as the target business data.

[0087] S402, associate multiple target business data through the RPA data association robot to obtain association items, generate unique identifiers of the multiple target business data based on the association items, and extract certificate data from the multiple target business data based on the association items.

[0088] It should be noted that the RPA data association robot described in this embodiment can be responsible for finding related items for multi-dimensional and multi-table data (i.e., multiple target business data) and generating unique labels. The enterprise's unified social credit code can be used as a unique identifier in the one-industry-one-certificate platform. For different system data, information belonging to the same user has different primary keys. Without changing the original data structure, a unified identifier is added to achieve the result of data association.

[0089] In addition, the associated items described in this embodiment may be matters with business associations between each target business data in multiple target business data, such as company name, legal representative, etc., wherein the method for obtaining associated items may be preset and stored in the storage space of the electronic device or RPA data association machine so that it can be directly called when needed.

[0090] Specifically, see Figure 2 After obtaining multiple target business data, the electronic device can input the multiple target business data into the RPA data association machine. After obtaining the multiple target business data, the RPA data association machine can first associate the multiple target business data according to a preset method to obtain association items, and generate unique identifiers of the multiple target business data according to the association items, and extract certificate data from the multiple target business data according to the association items.

[0091] S403: The RPA QR code generation robot generates an access link based on the unique identifier and generates a QR code for the access link.

[0092] It should be noted that the RPA QR code generation robot described in this embodiment can be responsible for generating a QR code image based on the fixed access link generated by the above unique identifier, such as Figure 5 , the QR code will be applied to the final industry comprehensive license.

[0093] S404: The RPA license creation robot writes the QR code and the license creation data into the corresponding license template file to generate a license. There may be multiple license template files, including an industry-wide comprehensive license template file.

[0094] It should be noted that the RPA certificate robot described in this embodiment can be responsible for writing the certificate data collected by different business systems into the corresponding license template file and generating the corresponding certificate image, as follows Figure 6 As shown, the industry comprehensive license print file is generated at the same time, which can be seen in Figure 4 The license template file can be prepared in advance by relevant personnel and pre-stored in the storage space of an electronic device or RPA license-generating robot so that it can be directly called when needed. The license template file can include information such as the company name, license number, registered address, and legal representative. There are no restrictions here, and the specific settings will be based on actual regulations.

[0095] Specifically, see Figure 2After obtaining the above-mentioned certificate data and unique identifier, the electronic device can input the unique identifier into the RPA QR code generation robot, wherein the RPA QR code generation robot can generate a fixed access link based on the unique identifier, and generate and output a QR code image based on the fixed access link. The electronic device can then input the QR code image and the certificate data into the RPA certificate robot. After receiving the QR code image and the certificate data, the RPA certificate robot can obtain multiple license template files from its own storage space, and then parse the QR code image and the certificate data according to the multiple license template files to write the QR code image and the certificate data into the corresponding license template file to generate multiple related licenses. For example, the certificate data related to the industry comprehensive license template file in the two-dimensional image and the certificate data is written into the industry comprehensive license template file to generate an industry comprehensive license.

[0096] Therefore, each RPA robot can be responsible for independent business functions and execute them completely in accordance with the business process specifications of manual operations, so that different heterogeneous systems can be quickly adjusted, making the adaptation of business systems more flexible.

[0097] In the examples of this application, see Figure 2 Unlike traditional web-based system development, the "One Industry, One License" platform system is built entirely using RPA robots. Each RPA robot is responsible for an independent business function and executes it in accordance with the business process specifications of manual operations, facilitating business understanding and subsequent maintenance. Furthermore, process grouping can be used to meet the processing requirements of different business processes. For example, if data processing is required, an RPA data cleaning robot and an RPA data association robot can be combined separately.

[0098] To clarify the above embodiment, in one embodiment of the present application, the license may include an industry comprehensive license and at least one other license, wherein the industry comprehensive license includes a QR code. It should be noted that the other licenses described in this embodiment may be business licenses, business registration certificates, etc.

[0099] Furthermore, in one embodiment of the present application, the license generation method combining RPA and AI may also include uploading at least one other license to the display directory corresponding to the access link through the RPA link management robot.

[0100] It should be noted that, see Figure 7 The display directory described in this embodiment may be a display directory based on an HTML (HyperText Markup Language) file.

[0101] Specifically, see Figure 2 After obtaining the aforementioned licenses, the electronic device can use the RPA link management robot to retain the industry comprehensive license from the license and upload the remaining licenses to the display directory corresponding to the access link. This allows users to access the display directory through the QR code and view other licenses in the display directory.

[0102] Furthermore, the RPA link management robot can also update the corresponding license under the display directory corresponding to the access link when the content of some licenses changes.

[0103] Furthermore, in one embodiment of the present application, Figure 8 As shown, generating a license based on business data of multiple target business systems may include:

[0104] S801: Use the RPA data cleaning robot to check business data.

[0105] In an embodiment of the present application, the RPA data cleaning robot may also be responsible for performing content detection on the business data to determine whether there is any missing data in the business data.

[0106] Specifically, see Figure 2 After obtaining the business data of multiple target business systems, the electronic device can input the business data of the multiple target business systems into the RPA data cleaning robot. The RPA data cleaning robot can detect the correctness of the business data (for example, whether there is missing data) based on the rule configuration and / or query request.

[0107] S802: If it is detected that there is missing data in the business data, relevant reminder information is generated and provided to the user.

[0108] It should be noted that there are many ways to provide reminder information to users as described in this embodiment, for example, sending the reminder information to the user's mobile phone to remind the user, or feeding back the reminder information to relevant personnel (certification operator), and the operator reminds the user.

[0109] S803: The RPA data cleaning robot receives the supplementary data sent by the user and writes the supplementary data into the business data.

[0110] Specifically, after acquiring business data from multiple target business systems, the electronic device first uses an RPA data cleaning robot to inspect the business data. If missing data is detected, a relevant reminder is generated and provided to the user. The RPA data cleaning robot then receives supplementary data from the user and writes the supplementary data into the business data. This allows the RPA data cleaning robot to assist humans in detecting missing data in business data and send reminders, thereby improving the accuracy and speed of detection.

[0111] According to the license generation method combining RPA and AI in an embodiment of this application, a license application request is first received from a user, and multiple target business systems are determined based on the application request. The query request is then sent to the RPA query robots in the multiple target business systems, and the query results corresponding to the query request are fed back by the RPA query robots. Finally, the relevant license is generated based on the query results. This optimizes the application process, makes the adaptation of business systems more flexible, and greatly improves application efficiency.

[0112] Figure 9 The figure is a block diagram of a license generation device combining RPA and AI according to one embodiment of the present application.

[0113] The license generation device combining RPA and AI in the embodiment of the present application can be configured in an electronic device to receive a license application request sent by a user, determine multiple target business systems based on the license application request, and send the query request to the RPA query robot of the multiple target business systems, and then receive the query results corresponding to the query request fed back by the RPA query robot, and generate relevant licenses based on the query results, thereby optimizing the license application process, making the adaptation of the business system more flexible, and greatly improving the efficiency of license application.

[0114] like Figure 9 As shown, the license generation device 900 combining RPA and AI according to an embodiment of the present application includes: a first receiving module 910 , a sending module 920 , a second receiving module 930 and a generating module 940 .

[0115] The first receiving module 910 is used to receive a certificate application request sent by a user and determine multiple target business systems according to the certificate application request.

[0116] The sending module 920 is used to send the query request to the RPA query robots of multiple target business systems.

[0117] The second receiving module 930 is used to receive the query result corresponding to the query request fed back by the RPA query robot.

[0118] The generating module 940 is used to generate a relevant license according to the query result.

[0119] In one embodiment of the present application, Figure 9 As shown, the generating module 940 may include: a parsing unit 941 and a generating unit 942 .

[0120] The parsing unit 941 is used to parse the query result to obtain business data of multiple target business systems.

[0121] The generating unit 942 is configured to generate a license according to the business data of multiple target business systems.

[0122] In one embodiment of the present application, the generation unit 942 is specifically used to: perform format cleaning on business data through an RPA data cleaning robot to obtain multiple target business data, wherein the RPA data cleaning robot performs format cleaning on the business data based on natural language processing (NLP); perform association on multiple target business data through an RPA data association robot to obtain associated items, and generate unique identifiers of multiple target business data based on the associated items, and extract certificate data from the multiple target business data based on the associated items; generate an access link based on the unique identifier through an RPA QR code generation robot, and generate a QR code for the access link; and write the QR code and certificate data into the corresponding license template file through the RPA certificate robot to generate a license.

[0123] In one embodiment of the present application, the license includes an industry comprehensive license and at least one other license, wherein the industry comprehensive license includes a QR code.

[0124] In one embodiment of the present application, the generating unit 942 is further configured to: upload at least one other license to the display directory corresponding to the access link through the RPA link management robot.

[0125] In one embodiment of the present application, the generation module 940 is also used to: detect business data through an RPA data cleaning robot; if missing data is detected in the business data, generate relevant reminder information and provide the reminder information to the user; receive supplementary data sent by the user through the RPA data cleaning robot, and write the supplementary data into the business data.

[0126] It should be noted that for details not disclosed in the license generation device combining RPA and AI in the embodiment of the present application, please refer to the details disclosed in the license generation method combining RPA and AI in the above embodiment of the present invention, which will not be repeated here.

[0127] In summary, the license generation device combining RPA and AI in the embodiment of the present application first receives a license application request sent by a user through a first receiving module, determines multiple target business systems based on the license application request, then sends the query request to the RPA query robots of the multiple target business systems through a sending module, and receives the query results corresponding to the query request fed back by the RPA query robots through a second receiving module. Finally, the generation module generates the relevant license based on the query results. This can optimize the license application process, make the adaptation of business systems more flexible, and greatly improve the efficiency of license application.

[0128] In order to implement the above embodiments, the present application also proposes an electronic device, comprising at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the above-mentioned license generation method combining RPA and AI.

[0129] The electronic device of the embodiment of the present application executes instructions stored in a memory via a processor, receives a user's application request, determines multiple target business systems based on the application request, sends the query request to RPA query robots in the multiple target business systems, receives query results corresponding to the query request from the RPA query robot, and generates relevant licenses based on the query results. This optimizes the application process, makes the adaptation of business systems more flexible, and greatly improves application efficiency.

[0130] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above license generation method combining RPA and AI.

[0131] The computer-readable storage medium of an embodiment of the present application stores a computer program and is executed by a processor. The computer program receives a user's application request, identifies multiple target business systems based on the application request, sends the query request to RPA query robots in the multiple target business systems, receives query results corresponding to the query request from the RPA query robot, and generates relevant licenses based on the query results. This optimizes the application process, makes the business system more flexible, and significantly improves application efficiency.

[0132] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the above license generation method combining RPA and AI when executed by a processor.

[0133] In the various embodiments of the present application, it should be understood that the size of the serial numbers of the above-mentioned processes does not necessarily mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0134] In the embodiments provided herein, it should be understood that "B corresponding to A" means that B is associated with A and B can be determined based on A. However, it should also be understood that determining B based on A does not mean determining B based solely on A; B can also be determined based on A and / or other information.

[0135] In addition, the functional units in the embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0136] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-accessible memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a memory and includes several requests for a computer device (which can be a personal computer, server or network device, etc., specifically a processor in a computer device) to execute some or all of the steps of the above-mentioned methods of various embodiments of the present application.

[0137] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program. The program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0138] The above is a detailed introduction to a license generation method, device, and electronic device combining RPA and AI disclosed in an embodiment of the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of the present application. At the same time, for those skilled in the art, based on the ideas of the present application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present application.

Claims

1. A license generation method combining RPA and AI, characterized in that: include: Receive a certificate application request from a user and determine multiple target business systems based on the request. Set up an RPA query robot in each target business system. The RPA query robot is developed according to the process rules of each business system. The business system does not need to open an interface, but only needs to provide an account with data query permission. Sending the query request to the RPA query robot; Receive a query result corresponding to the query request fed back by the RPA query robot; as well as Parse the query results to obtain business data of the multiple target business systems, perform format cleaning on the business data through an RPA data cleaning robot to obtain multiple target business data, associate the multiple target business data through an RPA data association robot to obtain association items, generate unique identifiers of the multiple target business data according to the association items, extract certificate data from the multiple target business data according to the association items, generate an access link and a QR code of the access link according to the unique identifier through an RPA QR code generation robot, write the QR code and the certificate data into a corresponding license template file through an RPA certificate robot to generate a license including an industry comprehensive license and at least one other license, and upload the at least one other license to the display directory corresponding to the access link through an RPA link management robot; wherein, the industry comprehensive license includes the QR code, and the RPA data cleaning robot performs format cleaning on the business data based on natural language processing (NLP).

2. The method according to claim 1, characterized in that The method further comprises: The business data is detected by the RPA data cleaning robot; If it is detected that the business data has missing data, relevant reminder information is generated and provided to the user; The RPA data cleaning robot receives the supplementary data sent by the user and writes the supplementary data into the business data.

3. A license generation device combining RPA and AI, characterized in that: include: The first receiving module is used to receive a certificate application request sent by a user and determine multiple target business systems based on the certificate application request. An RPA query robot is set up in each target business system. The RPA query robot is developed according to the process rules of each business system. The business system does not need to open an interface, but only needs to provide an account with data query permission; A sending module, configured to send a query request to the RPA query robot; A second receiving module is configured to receive a query result corresponding to the query request fed back by the RPA query robot; as well as A generation module is used to parse the query results to obtain the business data of the multiple target business systems, perform format cleaning on the business data through an RPA data cleaning robot to obtain multiple target business data, associate the multiple target business data through an RPA data association robot to obtain associated items, generate unique identifiers for the multiple target business data based on the associated items, extract certificate data from the multiple target business data based on the associated items, generate an access link and a QR code of the access link based on the unique identifier through an RPA QR code generation robot, write the QR code and the certificate data into the corresponding license template file through the RPA certificate robot to generate a license including an industry comprehensive license and at least one other license, and upload the at least one other license to the display directory corresponding to the access link through the RPA link management robot; wherein, the industry comprehensive license includes the QR code, and the RPA data cleaning robot performs format cleaning on the business data based on natural language processing (NLP).

4. The device according to claim 3, characterized in that The generating module is further configured to: The business data is detected by the RPA data cleaning robot; If it is detected that the business data has missing data, relevant reminder information is generated and provided to the user; The RPA data cleaning robot receives the supplementary data sent by the user and writes the supplementary data into the business data.

5. An electronic device comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the license generation method combining RPA and AI as described in claim 1 or 2.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the license generation method combining RPA and AI as claimed in claim 1 or 2 is implemented.

7. A computer program product, comprising a computer program, which, when executed by a processor, implements the license generation method combining RPA and AI according to claim 1 or 2.

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