CN113741860A

CN113741860A - Data processing method and device based on RPA robot

Info

Publication number: CN113741860A
Application number: CN202111033494.XA
Authority: CN
Inventors: 常旻; 郭孟扬; 李春霞; 吴非
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2021-09-03
Filing date: 2021-09-03
Publication date: 2021-12-03

Abstract

The embodiment of the application provides a data processing method and a device based on an RPA robot, which can also be used in the financial field, and the method comprises the following steps: acquiring a basic function component and a corresponding business process message of the RPA robot by calling an RPA robot interface, and classifying and abstracting the basic function component and the business process message according to a message specification corresponding to the RPA robot to obtain a structured data dictionary and display the structured data dictionary to a user; receiving a basic function module selection instruction and a service flow execution instruction which are sent after the user selects the structured data dictionary and generating an RPA development requirement; the method and the device can effectively improve the efficiency of RPA demand excavation and extraction.

Description

Data processing method and device based on RPA robot

Technical Field

The application relates to the field of data processing, can also be used in the field of finance, and particularly relates to a data processing method and device based on an RPA robot.

Background

The RPA robot process automation means that a developer designs a process rule in advance, so that the robot can simulate manual text input, copy and paste, mouse movement, click and other operations, and accordingly replaces or assists a human to complete repetitive work. RPA requirements refer to a business process that wishes to use RPA instead of human for automated processing.

In various service flows of various kinds, many service flows can be executed by RPA robots, but due to the lack of professional knowledge in the field of computer technology or RPA, service personnel often do not know which service flows can be completed by RPA, and further submission of RPA requirements is hindered. Meanwhile, the technical personnel do not know the specific service of daily operation of the service personnel, so that the service personnel are difficult to efficiently dig out the RPA requirement for subsequent development. In the existing demand mining process, most of the demands are achieved through a mode of discussion under a line, and the efficiency is low, so that the problem that RPA demands are not smoothly provided due to different working properties and specialties between service personnel and technical personnel is solved.

Disclosure of Invention

Aiming at the problems in the prior art, the data processing method and device based on the RPA robot are provided, and the RPA demand mining and proposing efficiency can be effectively improved.

In order to solve at least one of the above problems, the present application provides the following technical solutions:

in a first aspect, the present application provides a data processing method based on an RPA robot, including:

acquiring a basic function component and a corresponding business process message of the RPA robot by calling an RPA robot interface, and classifying and abstracting the basic function component and the business process message according to a message specification corresponding to the RPA robot to obtain a structured data dictionary and display the structured data dictionary to a user;

and receiving a basic function module selection instruction and a service flow execution instruction which are sent after the user selects the structured data dictionary and generating an RPA development requirement.

Further, the classifying and abstracting the basic function component and the service flow packet according to the packet specification corresponding to the RPA robot to obtain a structured data dictionary includes:

extracting specific parameter items from the basic function component and the service flow message according to the message specification corresponding to the RPA robot;

and removing non-service parameter items in the specific parameter items according to a preset general parameter item, and performing data arrangement according to a preset message format to obtain a structured data dictionary.

Further, after the generating the RPA development requirement, the method further includes:

receiving an edit instruction of an administrator for the RPA development requirement and updating the RPA development requirement;

and receiving the auditing result of the administrator on the RPA development requirement and determining the auditing state of the RPA development requirement.

Further, still include:

and receiving a new basic function module selection instruction and a new service flow execution instruction sent by the user and generating an RPA development requirement, wherein the new basic function module selection instruction and the new service flow corresponding to the new service flow execution instruction are obtained from a preset functional component information table after the user self-defined editing.

In a second aspect, the present application provides an RPA robot-based data processing apparatus comprising:

the information processing module is used for acquiring a basic function component and a corresponding business process message of the RPA robot by calling an RPA robot interface, and classifying and abstracting the basic function component and the business process message according to a message specification corresponding to the RPA robot to obtain a structured data dictionary and display the structured data dictionary to a user;

and the requirement submitting module is used for receiving a basic function module selection instruction and a service flow execution instruction which are sent after the user selects the structured data dictionary and generating an RPA development requirement.

Further, the information processing module includes:

a parameter item extracting unit, configured to extract specific parameter items from the basic function component and the service flow packet according to packet specifications corresponding to the RPA robot;

and the invalid parameter processing unit is used for removing the non-service parameter items in the specific parameter items according to the preset general parameter items, and performing data arrangement according to the preset message format to obtain the structured data dictionary.

Further, still include:

the requirement editing unit is used for receiving an editing instruction of an administrator on the RPA development requirement and updating the RPA development requirement;

and the requirement checking unit is used for receiving a checking result of the administrator on the RPA development requirement and determining a checking state of the RPA development requirement.

Further, still include:

and the user-defined newly-added unit is used for receiving a newly-added basic function module selection instruction and a newly-added service flow execution instruction sent by the user and generating RPA development requirements, wherein the newly-added basic function module and the newly-added service flow corresponding to the newly-added basic function module selection instruction and the newly-added service flow execution instruction are acquired from a preset functional component information table after the user performs user-defined editing.

In a third aspect, the present application provides an electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the RPA robot-based data processing method when executing the program.

In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the RPA robot-based data processing method.

According to the technical scheme, the service process and the basic functional component operated by the RPA robot are displayed to the user in the form of the structured data dictionary, so that the user can select and generate the RPA development requirement according to the requirement of the user, and the RPA requirement mining and proposing efficiency can be effectively improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic flowchart of a RPA robot-based data processing method in an embodiment of the present application;

fig. 2 is a second schematic flowchart of a data processing method based on an RPA robot in an embodiment of the present application;

fig. 3 is a third schematic flowchart of a data processing method based on an RPA robot in an embodiment of the present application;

fig. 4 is one of the structural diagrams of the RPA robot-based data processing apparatus in the embodiment of the present application;

fig. 5 is a second block diagram of the RPA robot-based data processing apparatus according to the embodiment of the present application;

fig. 6 is a third block diagram of a data processing apparatus based on an RPA robot in the embodiment of the present application;

fig. 7 is a schematic structural diagram of an electronic device in an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Considering that in the prior art, many of various service flows can be executed by RPA robots, but due to the lack of professional knowledge in the field of computer technology or RPA, service personnel often do not know which service flows can be completed by RPA, and the submission of RPA requirements is blocked. Meanwhile, the technical personnel do not know the specific service of daily operation of the service personnel, so that the service personnel are difficult to efficiently dig out the RPA requirement for subsequent development. In the existing demand mining process, most of the demand mining process is realized in a mode of meeting under line, and the efficiency is low.

In order to effectively improve the efficiency of the RPA demand mining and extraction, the present application provides an embodiment of a data processing method based on an RPA robot, and referring to fig. 1, the data processing method based on the RPA robot specifically includes the following contents:

step S101: and acquiring a basic function component and a corresponding service flow message of the RPA robot by calling an RPA robot interface, and classifying and abstracting the basic function component and the service flow message according to a message specification corresponding to the RPA robot to obtain a structured data dictionary and display the structured data dictionary to a user.

Optionally, the method and the device can be docked with various RPA robot development software to obtain basic functional components and corresponding business process information in the RPA robot development software.

It can be understood that, today, in the industry, there are many RPA technology vendors which provide respective RPA robot development software, and the RPA software of some vendors is not completely closed, thereby implementing platform function servitization and opening an API interface for external invocation.

Therefore, the application can acquire the relevant information messages including the developed basic function components, the business process and the like in the RPA software by calling the API provided by the RPA robot development software. Optionally, the method can be triggered by Quartz timing scheduling framework timing, and can also be triggered by manually clicking a foreground page button.

Optionally, after obtaining the information, the application may adapt to the message specification of each RPA robot development software. For example, according to the API interface document provided by each RPA manufacturer, concrete parameter items in the basic function components and the service flow information are disassembled one by one, and general information items are classified and abstracted, while useful service parameters are retained.

For example, the acquired specific parameter items include "functional component name", "functional description", "input parameter", "output parameter", "belonging application", "creation time", "update time", and the like, and here, it can be considered that "creation time" and "update time" are useless for later use and are non-business parameters, and therefore are not reserved, thereby obtaining the structured data dictionary.

Optionally, after the structured data dictionary is obtained, the application may be displayed on a foreground interface for viewing, and at the same time, may support the operations of adding, deleting, modifying and checking information, for example, providing a menu for an administrator (technician) and a user (service staff), and the technician may perform correctness checking on the analyzed information in the "RPA functional component management" menu, and perform operations such as querying, adding, modifying and deleting RPA functional component information; service personnel view related information such as RPA functional components, service flows and the like in a menu of 'RPA functional component browsing'.

Step S102: and receiving a basic function module selection instruction and a service flow execution instruction which are sent after the user selects the structured data dictionary and generating an RPA development requirement.

Optionally, a user (service person) of the application may write information such as text description of a service flow that is to be automatically processed by the RPA, and draw an RPA execution flow chart in a manner of selecting and arranging basic function modules, and generate an RPA development requirement.

In addition, if a certain function required in the business process does not exist in the system, a function module and a description are newly established and are serially connected into the business process chain.

As can be seen from the above description, the data processing method based on the RPA robot provided in the embodiment of the present application can show the service flow and the basic functional component operated by the RPA robot to the user in the form of the structured data dictionary, so that the user selects and generates the RPA development requirement according to the need of the user, thereby effectively improving the efficiency of RPA requirement mining and providing.

In order to accurately classify and abstract basic functional components and service flow messages of a plurality of different PRA robots, in an embodiment of the data processing method based on an RPA robot according to the present application, referring to fig. 2, the step S101 may further specifically include the following contents:

step S201: and extracting specific parameter items from the basic function component and the service flow message according to the message specification corresponding to the RPA robot.

Step S202: and removing non-service parameter items in the specific parameter items according to a preset general parameter item, and performing data arrangement according to a preset message format to obtain a structured data dictionary.

For example, the acquired specific parameter items include "functional component name", "functional description", "input parameter", "output parameter", "belonging application", "creation time", "update time", and the like, and here, the "creation time" and the "update time" may be regarded as useless for later use according to the preset general parameter items, and are non-business parameters, so that the "creation time" and the "update time" are not reserved, and thus the structured data dictionary is obtained.

In order to ensure the reasonability of the RPA development requirement generated by the user, in an embodiment of the data processing method based on the RPA robot according to the present application, referring to fig. 3, after step S102, the following may be specifically included:

step S301: and receiving an edit instruction of an administrator for the RPA development requirement and updating the RPA development requirement.

Step S302: and receiving the auditing result of the administrator on the RPA development requirement and determining the auditing state of the RPA development requirement.

Optionally, after the information of the service flow and the basic functional component is put in storage, an administrator can perform correctness and legibility audit on the unchecked information in the menu of the RPA functional component management, and if the information is recorded to be missing, the technician supplements the information according to the situation. After the technician passes the audit, the record audit state identifier audio _ status is changed from '0 not audited' to '1 audited', the audit time is updated to be the current time, and the operator ID is the current login user. Only records of the audited status are visible to the business personnel.

In order to meet the diversified and personalized RPA development requirements of users, in an embodiment of the data processing method based on the RPA robot according to the present application, the following contents may be further specifically included:

Optionally, if a certain function required in the service flow does not exist in the system, a user of the application may create a function module and a description, and connect the function module and the description in series in the service flow chain, where the information created by the function module and the description is inserted into the functional component information table funmodule _ info, and after the requirement is submitted, the information is inserted into the RPA requirement information table requirement _ info, and the requirement record req _ status is set to 1 and submitted.

In order to effectively improve the efficiency of the RPA demand mining and extraction, the present application provides an embodiment of an RPA robot-based data processing apparatus for implementing all or part of the contents of the RPA robot-based data processing method, and referring to fig. 4, the RPA robot-based data processing apparatus specifically includes the following contents:

and the information processing module 10 is configured to obtain a basic function component and a corresponding service flow message of the RPA robot by calling an RPA robot interface, and perform classification and abstraction processing on the basic function component and the service flow message according to a message specification corresponding to the RPA robot to obtain a structured data dictionary and display the structured data dictionary to a user.

And the requirement submitting module 20 is configured to receive a basic function module selection instruction and a service flow execution instruction sent after the user selects the structured data dictionary, and generate an RPA development requirement.

As can be seen from the above description, the data processing apparatus based on the RPA robot according to the embodiment of the present application can show the service flow and the basic function component operated by the RPA robot to the user in the form of the structured data dictionary, so that the user selects and generates the RPA development requirement according to the need of the user, thereby effectively improving the efficiency of mining and providing the RPA requirement.

In order to accurately classify and abstract basic functional components and service flow messages of a plurality of different PRA robots, in an embodiment of the RPA robot-based data processing apparatus according to the present application, referring to fig. 5, the information processing module 10 includes:

and the parameter item extracting unit 11 is configured to extract specific parameter items from the basic function component and the service flow message according to the message specification corresponding to the RPA robot.

And the invalid parameter processing unit 12 is configured to remove a non-service parameter item from the specific parameter item according to a preset general parameter item, and perform data arrangement according to a preset message format to obtain a structured data dictionary.

In order to ensure the reasonability of the RPA development requirement generated by the user, in an embodiment of the data processing apparatus based on the RPA robot according to the present application, referring to fig. 6, the following contents are further specifically included:

and the requirement editing unit 31 is used for receiving an editing instruction of the administrator on the RPA development requirement and updating the RPA development requirement.

And the requirement checking unit 32 is configured to receive a checking result of the RPA development requirement from the administrator and determine a checking state of the RPA development requirement.

In order to meet the diversified and personalized RPA development requirements of users, in an embodiment of the data processing apparatus based on an RPA robot according to the present application, the following contents are further specifically included:

To further illustrate the solution, the present application further provides a specific application example of implementing the data processing method based on the RPA robot by using the data processing apparatus based on the RPA robot, which specifically includes the following contents:

(1) after the system is started, the information acquisition module manually calls an API (application programming interface) interface of RPA software through a Quartz timing task or a technical person clicks a button on a page of an RPA functional component management, and reads information such as a service flow existing in the designated RPA software and a functional module list developed for realizing the flow through an information acquisition control table readtask _ config (such as an attached table 1).

Table 1 information acquisition control table readtask _ config

(2) The information is sorted and analyzed by the information analysis module, and then the information is stored into a functional component information table funmodule _ info (attached table 2). And if the data acquired in the next timed task time interval already exists in the database, namely the data is stock data, the data is not put into storage. In the following, taking a credit card issuance survey RPA flow designed by a certain service department as an example, it is assumed that the system calls a certain RPA software API interface to obtain the following JSON packet:

referring to the field meanings in the API interface document, for the parameter items in the report, referring to table 2, the following data dictionary may be formed:

TABLE 2 data dictionary

Parameter item	Meaning of parameters
		procedureName	Name of business process
funcModuleNum	Number of functional components used by the business process
		funcModules	Functional assembly
funcName	Functional component name
		input	Functional component input parameters
output	Functional component output parameters
		description	Introduction to functional Components
createTime	Business process creation time
		lastModifiedTime	Most recent update time

Wherein createTime and lastModifiedTime are non-service parameters, and the mining use for the later RPA requirement is not large, so the subsequent processing is not performed.

Finally, the following structured information can be formed by processing through the information analysis module, see table 3, and be stored in a warehouse:

table 3 structured information table

(3) And checking the RPA functional component information. This step involves the role of a technician. And after the information of the business process and the functional component is put in storage, checking the correctness and the readability of the unchecked information in an RPA functional component management menu. If the record has information loss, the technician supplements as the case may be. After the technician passes the audit, the record audit state identifier audio _ status is changed from '0 not audited' to '1 audited', the audit time is updated to be the current time, and the operator ID is the current login user. Only records of the audited status are visible to the business personnel.

(4) And the RPA functional component checks information and mines requirements. This step involves the role being a business person. In the menu of 'RPA functional component browse', the relevant information after the technical personnel review can be seen, and further the functions which can be realized by the RPA can be known. In the idea of the service personnel, for a certain service process, if many operation steps in the process are similar to the functions realized by the existing functional modules, that is, there is a possibility that the service process can be automatically executed by the RPA, the service personnel can submit the RPA requirements.

(5) And (5) submitting the requirements. This step involves the role being a business person. And writing information such as text description of a service flow to be automatically processed by the RPA and the like on a 'requirement submission' page, and drawing an RPA execution flow chart in a mode of selecting and arranging basic function modules. If a certain function required in the business process does not exist in the system, a function module and a description are newly established and are connected in series into a business process chain. Newly creating a functional module and describing information to insert into a functional component information table funmodule _ info, after submitting a requirement, inserting information into a requirement information table requirement _ info (attached table 4) of the RPA, and setting a requirement record req _ status to be 1 submitted.

TABLE 4 requirement information Table requirement _ info

(6) And (4) requirement acceptance. This step involves the role of a technician. The technical personnel check the requirements submitted by the service personnel on the requirement acceptance page, fill in the requirement reply opinions and update the req _ resp field. The req _ status field records the corresponding status: 2 has replied and passed, 3 has replied to modify, 4 has failed; the req _ times field records the number of times the request replies, if the first round replies are marked as 1.

(7) And (4) processing a requirement acceptance result. This step involves the role being a business person. If the request req _ status field is 3 already answered for modification, then the request acceptance can be fully resubmitted in the "request submission" page. After resubmission, the req _ status field is updated to 1, and req _ times is incremented by 1. And then returning to the step (5). If the request req _ status field is 2 replied and either passed or failed 4, flow ends.

According to the method and the system, the existing service process and functional components operated by using the RPA are displayed to service personnel in a popular and easily understood mode, so that the service personnel can more deeply know the operation that the RPA can replace manual operation, and further the RPA requirement can be more favorably excavated. Meanwhile, the system subverts the traditional offline RPA requirement discussion mode, enables business personnel to select functional components, directly writes requirements and draws a business flow chart from the online, and greatly improves the efficiency of RPA requirement mining and proposing.

In terms of hardware, in order to effectively improve the efficiency of RPA demand mining and extraction, the present application provides an embodiment of an electronic device for implementing all or part of the contents in the data processing method based on an RPA robot, where the electronic device specifically includes the following contents:

a processor (processor), a memory (memory), a communication Interface (Communications Interface), and a bus; the processor, the memory and the communication interface complete mutual communication through the bus; the communication interface is used for realizing information transmission between the data processing device based on the RPA robot and relevant equipment such as a core service system, a user terminal, a relevant database and the like; the logic controller may be a desktop computer, a tablet computer, a mobile terminal, and the like, but the embodiment is not limited thereto. In this embodiment, the logic controller may refer to the embodiment of the data processing method based on the RPA robot and the embodiment of the data processing apparatus based on the RPA robot in the embodiment, and the contents thereof are incorporated herein, and repeated descriptions thereof are omitted.

It is understood that the user terminal may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a Personal Digital Assistant (PDA), an in-vehicle device, a smart wearable device, and the like. Wherein, intelligence wearing equipment can include intelligent glasses, intelligent wrist-watch, intelligent bracelet etc..

In practical applications, part of the data processing method based on the RPA robot may be executed on the electronic device side as described above, or all operations may be completed in the client device. The selection may be specifically performed according to the processing capability of the client device, the limitation of the user usage scenario, and the like. This is not a limitation of the present application. The client device may further include a processor if all operations are performed in the client device.

The client device may have a communication module (i.e., a communication unit), and may be communicatively connected to a remote server to implement data transmission with the server. The server may include a server on the task scheduling center side, and in other implementation scenarios, the server may also include a server on an intermediate platform, for example, a server on a third-party server platform that is communicatively linked to the task scheduling center server. The server may include a single computer device, or may include a server cluster formed by a plurality of servers, or a server structure of a distributed apparatus.

Fig. 7 is a schematic block diagram of a system configuration of an electronic device 9600 according to an embodiment of the present application. As shown in fig. 7, the electronic device 9600 can include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. Notably, this fig. 7 is exemplary; other types of structures may also be used in addition to or in place of the structure to implement telecommunications or other functions.

In one embodiment, the RPA robot-based data processing method functions may be integrated into the central processor 9100. The central processor 9100 may be configured to control as follows:

As can be seen from the above description, the electronic device provided in the embodiment of the present application displays the service flow and the basic function component operated by the RPA robot to the user in the form of the structured data dictionary, so that the user selects and generates the RPA development requirement according to the need of the user, thereby effectively improving the efficiency of RPA requirement mining and proposing.

In another embodiment, the RPA robot-based data processing apparatus may be configured separately from the central processor 9100, for example, the RPA robot-based data processing apparatus may be configured as a chip connected to the central processor 9100, and the functions of the RPA robot-based data processing method may be implemented by the control of the central processor.

As shown in fig. 7, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 also does not necessarily include all of the components shown in fig. 7; further, the electronic device 9600 may further include components not shown in fig. 7, which may be referred to in the art.

As shown in fig. 7, a central processor 9100, sometimes referred to as a controller or operational control, can include a microprocessor or other processor device and/or logic device, which central processor 9100 receives input and controls the operation of the various components of the electronic device 9600.

The memory 9140 can be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 9100 can execute the program stored in the memory 9140 to realize information storage or processing, or the like.

The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. Power supply 9170 is used to provide power to electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, an LCD display, but is not limited thereto.

The memory 9140 can be a solid state memory, e.g., Read Only Memory (ROM), Random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 9140 could also be some other type of device. Memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 being used for storing application programs and function programs or for executing a flow of operations of the electronic device 9600 by the central processor 9100.

The memory 9140 can also include a data store 9143, the data store 9143 being used to store data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers for the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, contact book applications, etc.).

The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. The communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as in the case of a conventional mobile communication terminal.

Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, may be provided in the same electronic device. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132, thereby implementing ordinary telecommunications functions. The audio processor 9130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100, thereby enabling recording locally through the microphone 9132 and enabling locally stored sounds to be played through the speaker 9131.

An embodiment of the present application further provides a computer-readable storage medium capable of implementing all the steps in the RPA robot-based data processing method whose execution subject is a server or a client in the above-described embodiment, where the computer-readable storage medium stores thereon a computer program, and when the computer program is executed by a processor, the computer program implements all the steps in the RPA robot-based data processing method whose execution subject is a server or a client in the above-described embodiment, for example, the processor implements the following steps when executing the computer program:

As can be seen from the above description, the computer-readable storage medium provided in the embodiment of the present application displays the service flow and the basic function component operated by the RPA robot to the user in the form of the structured data dictionary, so that the user selects and generates the RPA development requirement according to the need of the user, thereby effectively improving the efficiency of RPA requirement mining and proposing.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A data processing method based on an RPA robot, the method comprising:

2. The RPA robot-based data processing method according to claim 1, wherein the classifying and abstracting the basic function component and the service flow packet according to the packet specification corresponding to the RPA robot to obtain a structured data dictionary comprises:

3. The RPA robot-based data processing method of claim 1, further comprising, after said generating RPA development requirements:

4. The RPA robot-based data processing method of claim 1, further comprising:

5. A data processing apparatus based on an RPA robot, comprising:

6. The RPA robot-based data processing apparatus of claim 5, wherein the information processing module comprises:

7. The RPA robot-based data processing apparatus of claim 5, further comprising:

8. The RPA robot-based data processing apparatus of claim 5, further comprising:

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the RPA robot-based data processing method according to any one of claims 1 to 4 are implemented when the processor executes the program.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the RPA robot-based data processing method of any one of claims 1 to 4.