CN114625448A

CN114625448A - Flow generation method and device combining RPA and AI, electronic equipment and storage medium

Info

Publication number: CN114625448A
Application number: CN202210147374.0A
Authority: CN
Inventors: 胡灿; 王瑞丰
Original assignee: Laiye Technology Beijing Co Ltd
Current assignee: Laiye Technology Beijing Co Ltd
Priority date: 2022-02-17
Filing date: 2022-02-17
Publication date: 2022-06-14

Abstract

The present disclosure provides a flow generation method, an apparatus, an electronic device, and a storage medium combining an RPA and an AI, which are applied to a robot flow Automation (RPA) management platform, where the RPA management platform supports Natural Language Processing (NLP), and the method includes: providing an RPA process creation interface in an RPA management platform, wherein the RPA process creation interface comprises: the RPA task creating interface is used for creating an RPA flow, and can be used for triggering the creation of an RPA task, acquiring RPA task creating information in response to a first trigger instruction for the RPA task creating interface, and creating the RPA task according to the RPA task creating information, so that the corresponding RPA task creating interface can be laid out in the RPA flow creating interface, and the RPA task creating information can be efficiently acquired based on the RPA task creating interface, so that the continuity of RPA flow creation and RPA task creation can be effectively improved, and the generation efficiency of the whole RPA flow can be effectively improved.

Description

Flow generation method and device combining RPA and AI, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for generating a Robot Process Automation (RPA) and Artificial Intelligence (AI) Process, an electronic device, and a storage medium.

Background

Robot Process Automation (RPA) means that a specific "robot software" simulates a human operation on a computer and automatically executes a Process task according to a rule.

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

In the related technology, the RPA process creation link and the RPA task creation link are independent of each other and need to be called respectively to achieve creation of the RPA process and the RPA task, thereby affecting the continuity of the creation process between the RPA process and the RPA task.

Disclosure of Invention

The embodiment of the disclosure provides a flow generation method and a device combining RPA and AI, in order to solve the problems in the related art, the technical scheme is as follows:

in a first aspect, a flow generating method combining an RPA and an AI, which is provided in an embodiment of the present disclosure, is applied to an RPA management platform, where the RPA management platform supports natural language processing NLP, and includes: providing an RPA process creation interface in an RPA management platform, wherein the RPA process creation interface comprises: the RPA task creating interface is used for creating an RPA process and can be used for triggering the creation of an RPA task; responding to a first trigger instruction of an RPA task creation interface, and acquiring RPA task creation information; and creating the RPA task according to the RPA task creation information.

In one embodiment, providing an RPA flow creation interface in an RPA management platform includes:

providing an RPA process management interface in an RPA management platform, wherein the RPA process management interface comprises: the RPA flow creating interface can be used for triggering the RPA flow creation;

responding to a second trigger instruction of the RPA process creation interface, and acquiring RPA process creation information;

and providing an RPA flow creation interface matched with the RPA flow creation information.

In one embodiment, in response to a first trigger instruction for the RPA task creation interface, acquiring RPA task creation information includes:

responding to a first trigger instruction of the RPA task creation interface, and acquiring the RPA task creation interface matched with the RPA process creation information, wherein the RPA task creation interface comprises: an RPA task creation field to be edited, which is matched with the RPA process creation information;

and responding to an editing instruction of the to-be-edited RPA task creation field, calling a Natural Language Processing (NLP) service, and analyzing the editing instruction to acquire the RPA task creation information edited by the to-be-edited RPA task creation field.

In one embodiment, after acquiring the RPA task creation interface matched with the RPA flow creation information in response to the first trigger instruction for the RPA task creation interface, the method further includes:

displaying an RPA task creation interface in a pop-up window mode on an RPA process creation interface; or

And switching the RPA process creation interface to the RPA task creation interface.

In one embodiment, in response to a first trigger instruction for the RPA task creation interface, acquiring the RPA task creation interface matched with the RPA flow creation information, including:

responding to a first trigger instruction of an RPA task creation interface, calling NLP service, and determining the type of the RPA task to be created, which is matched with the RPA process creation information;

and acquiring an RPA task creation interface matched with the type of the RPA task to be created, and taking the RPA task creation interface as an RPA task creation interface matched with the RPA process creation information.

In one embodiment, creating the RPA task according to the RPA task creation information includes:

determining task execution information of the RPA task according to the RPA task creation information;

and creating the RPA task according to the task execution information.

In one embodiment, after creating the RPA task according to the task execution information, the method further comprises:

according to the task execution information, determining an RPA process execution robot corresponding to the RPA task;

generating a task execution instruction according to the RPA task;

and transmitting the task execution instruction to the RPA flow execution robot, wherein the RPA flow execution robot can execute the RPA task.

In a second aspect, a flow generating device combining an RPA and an AI according to an embodiment of the present disclosure is applied to an RPA management platform, where the RPA management platform supports natural language processing NLP, and includes: a processing module, configured to provide an RPA flow creation interface in an RPA management platform, where the RPA flow creation interface includes: the RPA task creating interface is used for creating an RPA process and can be used for triggering the creation of an RPA task; the acquisition module is used for responding to a first trigger instruction of the RPA task creation interface and acquiring RPA task creation information; and the creating module is used for creating the RPA task according to the RPA task creating information.

In one embodiment, the processing module is specifically configured to:

In one embodiment, an acquisition module includes:

the first obtaining submodule is used for responding to a first trigger instruction of the RPA task creating interface and obtaining the RPA task creating interface matched with the RPA process creating information, wherein the RPA task creating interface comprises: an RPA task creation field to be edited, which is matched with the RPA process creation information;

and the second obtaining submodule is used for responding to an editing instruction of the to-be-edited RPA task creation field, calling the natural language processing NLP service, and analyzing the editing instruction to obtain the RPA task creation information edited by the to-be-edited RPA task creation field.

In one embodiment, the obtaining module further includes:

the third obtaining submodule is used for displaying the RPA task creating interface in a popup mode on the RPA task creating interface after the RPA task creating interface matched with the RPA process creating information is obtained in response to the first trigger instruction for the RPA task creating interface; or

And the switching submodule is used for switching the RPA process establishing interface to the RPA task establishing interface.

In an embodiment, the first obtaining sub-module is specifically configured to:

and acquiring an RPA task creation interface matched with the type of the RPA task to be created and taking the RPA task creation interface as an RPA task creation interface matched with the RPA process creation information.

In one embodiment, the creating module is specifically configured to:

and creating the RPA task according to the task execution information.

In one embodiment, the creating module is further configured to:

after an RPA task is created according to task execution information, an RPA flow execution robot corresponding to the RPA task is determined according to the task execution information;

generating a task execution instruction according to the RPA task;

In a third aspect, an embodiment of the present disclosure provides an electronic device, including: the device comprises a memory, a processor and a computer program stored in the memory and running on the processor, and is characterized in that when the processor executes the program, the flow generation method combining the RPA and the AI as provided by the embodiment of the first aspect is implemented.

In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a flow generation method combining an RPA and an AI as provided in an embodiment of the first aspect.

The advantages or beneficial effects in the above technical solution at least include:

in this embodiment, an RPA process creation interface is provided in an RPA management platform, where the RPA process creation interface includes: the RPA task creating interface is used for creating an RPA flow, and can be used for triggering the creation of an RPA task, acquiring RPA task creating information in response to a first trigger instruction for the RPA task creating interface, and creating the RPA task according to the RPA task creating information, so that the corresponding RPA task creating interface can be laid out in the RPA flow creating interface, and the RPA task creating information can be efficiently acquired based on the RPA task creating interface, so that the continuity of RPA flow creation and RPA task creation can be effectively improved, and the generation efficiency of the whole RPA flow can be effectively improved.

The foregoing summary is provided for the purpose of description only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the present disclosure will be readily apparent by reference to the drawings and following detailed description.

Drawings

In the drawings, like reference numerals refer to the same or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily to scale. It is appreciated that these drawings depict only some embodiments in accordance with the disclosure and are not to be considered limiting of its scope.

Fig. 1 is a schematic flowchart of a flow generating method combining RPA and AI according to an embodiment of the disclosure;

fig. 2 is a schematic flow chart diagram of a flow generation method combining RPA and AI according to another embodiment of the present disclosure;

fig. 3 is a schematic diagram of RPA flow creation information according to an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of an RPA task creation interface according to an embodiment of the present disclosure;

FIG. 5 is a schematic flowchart of a process generation method combining RPA and AI according to another embodiment of the disclosure;

fig. 6 is a schematic configuration interface diagram of task execution information of an RPA task according to an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of a flow generating device combining RPA and AI according to an embodiment of the present disclosure;

fig. 8 is a schematic structural diagram of a flow generating device combining RPA and AI according to another embodiment of the present disclosure;

fig. 9 is a schematic hardware structure diagram of an electronic device according to an embodiment of the present disclosure.

Detailed Description

Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of illustrating the present disclosure and should not be construed as limiting the same.

In the description of the embodiments of the present disclosure, the term "plurality" means two or more.

In the description of the embodiment of the present disclosure, the term "RPA flow" refers to an automated operation flow compiled by using some scripts capable of being automatically executed according to a predetermined rule, and the RPA flow may specifically be, for example, a website data capture flow, a screen writing custom test flow, and the like.

In the description of the embodiments of the present disclosure, the term "RPA task" refers to that, on the basis of creating and completing an RPA process, a user may invoke one or more RPA processes and execute corresponding workflow tasks, for example, the user may complete a website data automatic crawling task based on an invoked website data crawling process.

In the description of the embodiment of the present disclosure, the term "flow execution robot" may be used to execute an RPA task created by the RPA management platform, that is, after the RPA management platform creates and completes the RPA task, the RPA management platform may dispatch the corresponding RPA task to the corresponding flow execution robot, execute the RPA task via the flow execution robot, and return a corresponding RPA task execution result.

In the description of the embodiments of the present disclosure, the term "RPA management platform" refers to a management control center that is an RPA process robot, an RPA process, and an RPA task, that is, the RPA process and the creation of the RPA task can be completed through the RPA management platform, and the created RPA task is distributed to the corresponding RPA process robot, and the RPA process robot executes the corresponding RPA task.

In the description of the embodiments of the present disclosure, the term "RPA process creation interface" refers to an interface provided by an RPA management platform for creating an RPA process, and the interface may be deployed in the RPA management platform.

In the description of the embodiments of the present disclosure, the term "RPA task creation interface" refers to an interface provided by an RPA process creation interface and used for transmitting corresponding RPA task creation information.

In the description of the embodiment of the present disclosure, the term "RPA task creation information" refers to information required in the process of creating an RPA task, and may specifically be, for example, authorization department information of an RPA task, parameter information of an RPA task, and the like.

In the description of the embodiment of the present disclosure, the term "RPA process management interface" refers to a work interface that is deployed on an RPA management platform and supports management, distribution, and scheduling of RPA processes.

In the description of the embodiments of the present disclosure, the term "RPA flow creation interface" refers to an interface provided by an RPA flow management interface and used for transmitting corresponding RPA flow creation information.

In the description of the embodiments of the present disclosure, the term "RPA flow creation information" refers to information required by an RPA flow in the creation process.

In the description of the embodiments of the present disclosure, the term "RPA task creation interface" refers to a work interface that is deployed on an RPA management platform and supports creation of RPA tasks.

In the description of the embodiment of the present disclosure, the term "task execution information" refers to information required by an RPA task in an execution process, and specifically may be, for example, execution mode information of the RPA task, execution parameter information of the RPA task, and the like.

In the description of the embodiments of the present disclosure, the term "first trigger instruction" refers to an instruction received by the RPA task creation interface to trigger creation of an RPA task.

In the description of the embodiments of the present disclosure, the term "second trigger instruction" refers to an instruction received by the RPA flow creation interface to trigger creation of an RPA flow.

Fig. 1 is a schematic flowchart of a flow generation method combining RPA and AI according to an embodiment of the disclosure.

These and other aspects of embodiments of the disclosure will be apparent with reference to the following description and attached drawings. In the description and drawings, particular embodiments of the disclosure are disclosed in detail as being indicative of some of the ways in which the principles of the embodiments of the disclosure may be practiced, but it is understood that the scope of the embodiments of the disclosure is not limited thereby. On the contrary, the embodiments of the disclosure include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.

Fig. 1 is a schematic flowchart of a text feature generation method combining an RPA and an AI according to an embodiment of the present disclosure.

The present embodiment takes as an example that the flow generation method combining the RPA and the AI is configured in the electronic device. Among them, electronic devices such as smart phones, tablet computers, personal digital assistants, electronic books, and other hardware devices having various operating systems.

It should be noted that the execution subject of the embodiment of the present disclosure may be, for example, a Central Processing Unit (CPU) in a server or an electronic device in terms of hardware, and may be, for example, a related background service in the server or the electronic device in terms of software, which is not limited to this.

The present disclosure may be specifically applied to a Robot Process Automation (RPA) management platform that supports Natural Language Processing (NLP).

For example, in the embodiment of the present disclosure, based on the process of generating the full process automation flow, the full process automation execution may be implemented, and an RPA flow creation interface is provided in the RPA management platform, where the RPA flow creation interface includes: the RPA task creation interface is used for responding to a first trigger instruction of the RPA task creation interface, acquiring RPA task creation information and creating an RPA task according to the RPA task creation information.

Referring to fig. 1, the process generation method combining RPA and AI includes:

s101: providing an RPA process creation interface in an RPA management platform, wherein the RPA process creation interface comprises: the RPA task creates an interface.

The RPA process refers to an automated working process compiled by using some scripts capable of being automatically executed according to a predetermined rule, and the RPA process may specifically be, for example, a website data capture process, a screen writing custom test process, and the like, which is not limited thereto.

The RPA task means that, on the basis of creating and completing an RPA process, a user may invoke one or more RPA processes and execute corresponding work process tasks, for example, the user may capture a process based on invoked website data and complete an automatic website data capture task, which is not limited to this.

The RPA management platform may specifically be, for example, a robot Commander (UiBot Commander), where the robot Commander (UiBot Commander) is a management control center for an RPA process robot, an RPA process, and an RPA task, and the robot Commander (UiBot Commander) may be used to uniformly manage the RPA process robots in an enterprise, for example, may dispatch a corresponding RPA task to an RPA process robot, and provide data, credentials, files, and the like required by the RPA process robot during operation.

In the embodiment of the present disclosure, a corresponding RPA flow creation interface may be provided in the RPA management platform, and the RPA flow creation interface may be used to create an RPA flow, that is, an RPA flow creation interface may be provided in the RPA management platform, and then an RPA flow is created based on the RPA flow creation interface, which may be specifically referred to in the subsequent embodiments.

Wherein, the RPA flow creation interface may include: the RPA task creation interface may be configured to transmit corresponding RPA task creation information in the RPA task creation process, which is not limited in this respect.

In the process of creating the RPA task, the required information may be referred to as RPA task creation information, and the RPA task creation information may be authorized department information of the RPA task, parameter information of the RPA task, and the like, which is not limited thereto.

In some embodiments, the RPA process creation interface is provided in the RPA management platform, and may be that after the RPA software robot receives a process generation requirement of a user, the simulator manually performs a click operation on the RPA management platform to open an RPA process creation interface pre-deployed in the RPA management platform, and executes a subsequent process generation method based on the RPA process creation interface, which is not limited in this respect.

In the embodiment of the present disclosure, the providing of the RPA process creation interface in the RPA management platform may be to deploy a process generation module in advance in the RPA management platform, where the process generation module may provide a corresponding RPA process creation interface after receiving a process generation requirement of a user, and then may click a "new process" key of the process generation interface to create a corresponding RPA process, which is not limited to this.

S102: and responding to a first trigger instruction of the RPA task creation interface, and acquiring RPA task creation information.

The instruction received by the RPA task creation interface to trigger the creation of the RPA task may be referred to as a first trigger instruction.

The RPA task creation information may be information stored in an RPA task creation module pre-deployed in the RPA management platform, and is not limited thereto.

That is to say, in the embodiment of the present disclosure, the RPA task creation information may be obtained through an RPA task creation interface of an RPA flow creation interface provided in an RPA management platform, after receiving the first trigger instruction, the RPA task creation information stored in an RPA task creation module pre-deployed in the RPA management platform is called through the RPA task creation interface, and then the RPA task may be created based on the RPA task creation information obtained through the calling and in combination with the RPA flow created by the RPA flow creation interface, which may be specifically referred to in subsequent embodiments.

In some embodiments, the RPA task creation information is obtained in response to a first trigger instruction to the RPA task creation interface, or a corresponding RPA task creation module is created in an RPA process creation interface provided in the RPA management platform, and when the RPA task creation interface of the RPA process creation interface receives the first trigger instruction, the RPA process creation interface directly retrieves the RPA task creation information stored in the RPA task creation module of the RPA process creation interface, which is not limited to this.

S103: and creating the RPA task according to the RPA task creation information.

After the RPA task creation information is acquired, the RPA task can be created according to the RPA task creation information in the embodiment of the present disclosure.

In some embodiments, the creating of the RPA task according to the RPA task creation information may be configuring a corresponding RPA task creation module in the RPA management platform, and providing the obtained RPA task creation information to the RPA task module, and the RPA task module creates the RPA task according to the RPA task creation information without limitation.

In this embodiment of the present disclosure, the RPA task is created according to the RPA task creation information, and the RPA task may be created by providing an RPA flow creation interface in the RPA management platform, receiving the first trigger instruction based on the RPA task creation interface, and obtaining the RPA task creation information, and then combining the RPA flow created by the RPA flow creation interface with the RPA task creation information according to the RPA task creation information.

In the embodiment of the disclosure, the RPA task creation information is acquired based on the RPA task creation interface based on the RPA flow creation interface, and then the RPA task is created based on the RPA task creation information and the RPA flow created by the RPA flow creation interface, so that the RPA flow creation and the RPA task creation are combined to the RPA flow creation interface for execution, thereby effectively improving the consistency of the two links of the RPA flow creation and the RPA task creation.

Fig. 2 is a schematic flow chart of a flow generation method combining RPA and AI according to another embodiment of the present disclosure.

Referring to fig. 2, the process generation method combining RPA and AI includes:

s201: providing an RPA process management interface in an RPA management platform, wherein the RPA process management interface comprises: the RPA flow creates an interface.

In the embodiment of the present disclosure, an RPA process management interface may be provided in the RPA management platform, and the RPA process management interface may support operations such as management, distribution, and scheduling of an RPA process, which is not limited herein.

The RPA process management interface may include: the RPA process creation interface may be configured to receive RPA process creation information in an RPA process creation process, which is not limited in this regard.

The information required by the RPA process in the creating process may be referred to as RPA process creating information, where the RPA process creating information may be an RPA process, and the RPA process may specifically be, for example, a published RPA process edited by a process editor, an RPA process created by an RPA process creating interface, or the RPA process creating information may also be version information of the RPA process, which is not limited to this.

S202: and responding to a second trigger instruction of the RPA flow creation interface, and acquiring RPA flow creation information.

The RPA flow creation interface receives an instruction for triggering creation of an RPA flow, which may be referred to as a second trigger instruction.

In the embodiment of the present disclosure, the RPA flow creation information is obtained in response to a second trigger instruction to the RPA flow creation interface, which may be an RPA flow creation interface of an RPA flow management interface provided in an RPA management platform, and after receiving the second trigger instruction, the RPA flow creation information is obtained via the RPA flow creation interface.

S203: and providing an RPA flow creation interface matched with the RPA flow creation information.

It can be understood that, in the embodiment of the present disclosure, different pieces of RPA flow creation information may respectively correspond to different RPA flow creation interfaces, so that different RPA flow creation interfaces may be provided for the different pieces of RPA flow creation information, and then, corresponding RPA flows may be created based on the RPA flow creation interfaces matched with the RPA flow creation information.

In the embodiment of the disclosure, because the RPA process management interface is provided in the RPA management platform, and then the RPA process creation interface based on the RPA process management interface is provided, when the second trigger instruction is received, the RPA process creation interface is realized, the RPA process creation information is efficiently acquired from the RPA process creation interface, the acquisition efficiency of the RPA process creation information is effectively improved, and by providing the RPA process creation interface adapted to the RPA process creation information, when the RPA process is created based on the RPA process creation interface, it is ensured that the RPA process creation information of the RPA process creation interface is available creation information adapted to the RPA process to be created, so that in the RPA process creation process, the available RPA process creation information can be directly called from local, and further, the RPA process creation effect of the RPA process creation interface can be effectively assisted and improved.

S204: responding to a first trigger instruction of the RPA task creation interface, and acquiring the RPA task creation interface matched with the RPA process creation information, wherein the RPA task creation interface comprises: and the RPA task creating field to be edited is matched with the RPA process creating information.

The field required to be edited by the RPA task in the creation process may be referred to as an RPA task creation field to be edited, that is, in the RPA task creation process, the RPA task creation field to be edited may be edited to obtain a corresponding RPA task, and the RPA task creation field to be edited may specifically be, for example, a task parameter field, a task execution mode field, or the like, and is not limited thereto.

It can be understood that, in the embodiment of the present disclosure, different pieces of RPA flow creation information may respectively correspond to different RPA task creation interfaces, see fig. 3, where fig. 3 is a schematic diagram of RPA flow creation information provided in an embodiment of the present disclosure, and for different pieces of RPA flow creation information (for example, the flow name information, the flow type information, the flow package information, the flow version information, and the like shown in fig. 3), different RPA task creation interfaces may be provided for the different pieces of RPA flow creation information, and then, corresponding RPA tasks may be created based on the RPA task creation interfaces matched with the RPA flow creation information.

For example, referring to fig. 4, fig. 4 is a schematic diagram of an RPA task creation interface provided in an embodiment of the present disclosure, a "fast new task" key corresponding to the test-1227 flow creation information shown in the above fig. 3 may be clicked to enter the RPA task creation interface corresponding to the test-1227 flow creation information shown in fig. 4, and then, a corresponding RPA task may be created based on the RPA task creation interface, which is not limited to this.

Optionally, in some embodiments, in response to a first trigger instruction to the RPA task creation interface, an RPA task creation interface matching the RPA flow creation information is obtained, may be that in response to the first trigger instruction to the RPA task creation interface, the NLP service is invoked, the RPA task type to be created that matches the RPA flow creation information is determined, and obtains the RPA task creating interface matched with the type of the RPA task to be created and uses the RPA task creating interface as the RPA task creating interface matched with the RPA process creating information, because the RPA task creating interface matched with the type of the RPA task to be created is obtained and is used as the RPA task creating interface matched with the RPA process creating information, therefore, the RPA task creating interface can be matched with the type of the RPA task to be created, and the creating effect of the RPA task can be effectively improved when the RPA task of the corresponding type is created on the basis of the RPA task creating interface.

The RPA task type may be used to describe a task type to which an RPA task to be created that matches the RPA process creation information belongs, and the task type may specifically be, for example, an unattended type, a human-computer interaction type, and the like, which is not limited to this.

That is to say, in the embodiment of the present disclosure, after the RPA task creation interface of the RPA flow creation interface in the RPA management platform receives the first trigger instruction, the RPA flow creation information may be acquired, and the acquired RPA flow creation information may be analyzed to determine the type of the RPA task to be created, which is matched with the RPA flow creation information.

Or, in response to the first trigger instruction to the RPA task creation interface, invoking an NLP service, determining the type of the RPA task to be created that matches the RPA flow creation information, or after obtaining the RPA flow creation information, inputting the RPA flow creation information into a pre-trained NLP classification model, classifying the RPA flow creation information by the NLP classification model, and outputting the type of the RPA task to be created that matches the RPA flow creation information, without limitation.

In the embodiment of the present disclosure, after determining the to-be-created RPA task type matching the RPA process creation information, an RPA task creation interface matching the to-be-created RPA task type may be obtained and used as the RPA task creation interface matching the RPA process creation information, and then a corresponding RPA task may be created based on the RPA task creation interface, which may be specifically referred to in the following embodiments.

Optionally, in some embodiments, after the RPA task creation interface matched with the RPA process creation information is acquired in response to the first trigger instruction for the RPA task creation interface, the RPA task creation interface may be displayed in a pop-up window form on the RPA process creation interface, or the RPA process creation interface may be switched to be displayed.

That is to say, after the RPA task creation interface matched with the RPA flow creation information is acquired, the RPA task creation interface may be displayed in a pop-up window form on the RPA flow creation interface, or the RPA flow creation interface may be switched to be displayed, so that after the operation of the RPA flow creation interface is completed, the RPA task creation interface may be automatically switched to the next operation link, and therefore, the switching time required for switching the interfaces may be effectively saved, and the continuity of switching between the RPA flow creation interface and the RPA task creation interface may be effectively improved, thereby effectively improving the generation efficiency of the RPA flow.

S205: and responding to an editing instruction of the to-be-edited RPA task creation field, calling a Natural Language Processing (NLP) service, and analyzing the editing instruction to acquire the RPA task creation information edited by the to-be-edited RPA task creation field.

The RPA task creating field editing method is used for editing RPA task creating fields to be edited.

That is to say, in the embodiment of the present disclosure, after receiving an editing instruction of a field to be created by an RPA task, an RPA task creation interface of an RPA process creation interface provided by an RPA management platform may invoke a natural language processing NLP service, analyze the editing instruction to obtain the field to be created by the RPA task, edit the field to be created by the RPA task obtained by the analysis to obtain corresponding RPA task creation information, and then create a corresponding RPA task based on the RPA task creation information, which may be specifically referred to in the following embodiments.

For example, the natural language processing NLP service is invoked to parse the editing instruction, and may be that after the editing instruction of the RPA task creation field to be edited is received, the NLP text understanding service is used to parse the editing instruction to obtain the RPA task creation field to be edited, which is not limited to this.

In the embodiment of the disclosure, an RPA task creation interface matched with RPA flow creation information is acquired in response to a first trigger instruction for an RPA task creation interface, a natural language processing NLP service is invoked in response to an editing instruction for creating a field of an RPA task to be edited, and the editing instruction is analyzed to acquire the RPA task creation information edited for the RPA task creation field to be edited, so that the acquired RPA task creation information can be acquired, and the editing requirement of the RPA task creation field can be effectively met in the subsequent RPA task creation process, so that the editing effect of the RPA task creation field can be effectively improved based on the RPA task creation information, and the creation effect of the RPA task can be effectively assisted and improved.

S206: and creating the RPA task according to the RPA task creation information.

For description of S206, reference may be made to the foregoing embodiments specifically, and details are not repeated here.

In this embodiment, an RPA process management interface is provided in an RPA management platform, where the RPA process management interface includes: an RPA flow creating interface is obtained, in response to a second trigger instruction for the RPA flow creating interface, RPA flow creating information is obtained, an RPA flow creating interface matched with the RPA flow creating information is provided, so that when an RPA flow is created on the basis of the RPA flow creating interface, the RPA flow creating information of the RPA flow creating interface is ensured to be available creating information matched with the RPA flow to be created, the available RPA flow creating information can be directly called from local in the RPA flow creating process, the RPA flow creating effect of the RPA flow creating interface can be effectively assisted and improved, in response to a first trigger instruction for the RPA flow creating interface, an RPA task creating interface matched with the RPA flow creating information is obtained, in response to an editing instruction for editing an RPA task creating field to be edited, a natural language processing NLP service is called, the editing instruction is analyzed to obtain the RPA task creation information edited by the RPA task creation field to be edited, so that the obtained RPA task creation information can be obtained, the editing requirement of the RPA task creation field can be effectively met in the subsequent RPA task creation process, the editing effect of the RPA task creation field can be effectively improved based on the RPA task creation information, and the creation effect of the RPA task can be effectively assisted and improved.

Fig. 5 is a schematic flowchart of a flow generation method combining RPA and AI according to another embodiment of the disclosure.

Referring to fig. 5, the process generation method combining RPA and AI includes:

s501: providing an RPA process creation interface in an RPA management platform, wherein the RPA process creation interface comprises: the RPA task creates an interface.

S502: and responding to a first trigger instruction of the RPA task creation interface, and acquiring RPA task creation information.

For the description of S501-S502, reference may be made to the above embodiments, which are not described herein again.

S503: and determining the task execution information of the RPA task according to the RPA task creation information.

The information required by the RPA task in the execution process may be referred to as task execution information of the RPA task, and the task execution information may specifically be, for example, execution mode information of the RPA task (the execution mode may include a queuing execution mode and an immediate execution mode), execution parameter information of the RPA task, or the task execution information may also be any other possible execution requirement information in the execution process of the RPA task, for example, execution requirement information whether a screen needs to be recorded, which is not limited herein.

In the embodiment of the present disclosure, referring to fig. 6, fig. 6 is a schematic view of a configuration interface of task execution information of an RPA task, that is, after determining RPA task creation information (for example, authorization department information of the RPA task), the configuration interface may be configured with execution mode information, parameter information, and screen recording requirement information corresponding to the RPA task, and determine the configured execution mode information, parameter information, and screen recording requirement information corresponding to the RPA task as the task execution information of the RPA task, and then, a subsequent flow generation method may be executed based on the task execution information of the RPA task, which may be specifically referred to in the subsequent embodiments.

S504: and creating the RPA task according to the task execution information.

In the embodiment of the present disclosure, referring to fig. 6, after determining the task execution information of the RPA task, according to the task execution information, by clicking a "complete" key of a configuration interface of the task execution information of the RPA task, a corresponding RPA task may be created.

In the embodiment, because the task execution information of the RPA task is determined according to the RPA task creation information, and the RPA task is created based on the task execution information, the creation effect of the RPA task can be effectively ensured, and in addition, because the RPA task creation information is the RPA process creation interface and is directly obtained based on the configured RPA task creation interface, therefore, the RPA process can be established and completed on the RPA process establishing interface, the establishment of the RPA task is completed by combining the RPA process established on the basis of the RPA process establishing interface, the time consumption caused by module switching and process selection is effectively reduced, the RPA task establishing efficiency is effectively improved, in addition, because the RPA task is created by combining the task execution information, in the subsequent RPA task execution process, clear execution basis is provided, so that the progress of the RPA task execution link can be facilitated.

S505: and determining the RPA process execution robot corresponding to the RPA task according to the task execution information.

In the embodiment of the present disclosure, after an RPA task is created, the obtained task execution information of the RPA task may be analyzed to determine an RPA flow execution robot corresponding to the RPA task from among a plurality of types of task execution information, and then the RPA flow execution robot may execute the created RPA task based on the RPA flow execution robot, which may be specifically referred to in the above embodiments.

S506: and generating a task execution instruction according to the RPA task.

Among them, the instruction for triggering the execution of the RPA task may be referred to as a task execution instruction.

In the embodiment of the present disclosure, after creating an RPA task, the RPA management platform may generate a corresponding task execution instruction according to the RPA task and the task execution information of the RPA task, where the task execution instruction may be used to schedule an RPA flow execution robot corresponding to the RPA task to execute the corresponding RPA task, which may be specifically referred to in the subsequent embodiments.

S507: and transmitting the task execution instruction to the RPA flow execution robot, wherein the RPA flow execution robot can execute the RPA task.

After the task execution instruction is generated, the task execution instruction can be transmitted to the RPA flow execution robot, the RPA flow execution robot can analyze the task execution instruction after receiving the task execution instruction transmitted by the RPA management platform, so as to obtain corresponding RPA task execution information from the task execution instruction, and then the RPA flow execution robot can execute the RPA task according to the RPA task execution information.

In some embodiments, in the process of executing the RPA task, the RPA flow execution robot records the execution process and the execution result of the RPA task, and generates a corresponding execution log, and then, the RPA flow execution robot may return the execution log to the RPA management platform, so that a user may monitor the operation state of the RPA task on the RPA management platform, without limitation.

In this embodiment, an RPA process creation interface is provided in an RPA management platform, where the RPA process creation interface includes: an RPA task creation interface, in response to a first trigger instruction to the RPA task creation interface, acquiring RPA task creation information, determining task execution information of the RPA task according to the RPA task creation information, creating the RPA task according to the task execution information, so as to create and complete an RPA flow on the RPA flow creation interface, and based on the RPA flow creation interface, combining the created RPA flow to complete creation of the RPA task, thereby effectively reducing time consumption caused by module switching and flow selection, and further effectively improving creation efficiency of the RPA task, and in addition, because of combining the task execution information and the created RPA task, the clear execution basis can be provided for the RPA task in the subsequent RPA task execution process, thereby facilitating the promotion of an RPA task execution link, and then determining an RPA flow execution robot corresponding to the RPA task according to the task execution information, and generating a task execution instruction according to the RPA task, and transmitting the task execution instruction to the RPA flow execution robot, wherein the RPA flow execution robot can execute the RPA task, so that the RPA task execution effect of the RPA flow execution robot can be effectively improved.

Fig. 7 is a schematic structural diagram of a flow generating device combining RPA and AI according to an embodiment of the present disclosure.

Referring to fig. 7, the RPA and AI combined flow generating apparatus 700 includes:

a processing module 701, configured to provide an RPA flow creation interface in an RPA management platform, where the RPA flow creation interface includes: the RPA task creating interface is used for creating an RPA process and can be used for triggering the creation of an RPA task;

an obtaining module 702, configured to obtain RPA task creation information in response to a first trigger instruction for an RPA task creation interface; and

a creating module 703, configured to create an RPA task according to the RPA task creation information.

Optionally, in some embodiments, referring to fig. 8, fig. 8 is a schematic structural diagram of a flow generating device combining an RPA and an AI according to another embodiment of the present disclosure, where the processing module 701 is specifically configured to:

Optionally, in some embodiments, the obtaining module 702 includes:

a first obtaining sub-module 7021, configured to, in response to a first trigger instruction for an RPA task creation interface, obtain an RPA task creation interface matched with the RPA process creation information, where the RPA task creation interface includes: an RPA task creation field to be edited, which is matched with the RPA process creation information;

the second obtaining sub-module 7022 is configured to, in response to an editing instruction for creating a field for the RPA task to be edited, invoke a natural language processing NLP service, and perform parsing on the editing instruction to obtain RPA task creation information edited for the RPA task to be edited.

Optionally, in some embodiments, the obtaining module 702 further includes:

a third obtaining sub-module 7023, configured to, after obtaining the RPA task creation interface matched with the RPA flow creation information in response to the first trigger instruction for the RPA task creation interface, display the RPA task creation interface in a pop-up window form on the RPA flow creation interface; or

And the switching submodule 7024 is configured to switch the RPA process creation display interface to the RPA task creation display interface.

Optionally, in some embodiments, the first obtaining sub-module 7021 is specifically configured to:

Optionally, in some embodiments, the creating module 703 is specifically configured to:

and creating the RPA task according to the task execution information.

Optionally, in some embodiments, the creating module 703 is further configured to:

generating a task execution instruction according to the RPA task;

It should be noted that, for the functions and the specific implementation principles of the modules in the embodiments of the present disclosure, reference may be made to the embodiments of the methods described above, and details are not described here again.

In this embodiment, an RPA process creation interface is provided in an RPA management platform, where the RPA process creation interface includes: the RPA task creating interface is used for creating an RPA process, and can be used for triggering the creation of an RPA task, acquiring RPA task creating information in response to a first trigger instruction for the RPA task creating interface, and creating the RPA task according to the RPA task creating information, so that the corresponding RPA task creating interface can be laid out in the RPA process creating interface, and the RPA task creating information can be efficiently acquired based on the RPA task creating interface, so that the continuity between the creation of the RPA process and the creation of the RPA task can be effectively improved, and the generation efficiency of the whole RPA process can be effectively improved.

In order to implement the above embodiment, the present disclosure also provides an electronic device, including: the processor executes the program to implement the flow generation method combining the RPA and the AI as proposed by the foregoing embodiments of the present disclosure.

Fig. 9 is a schematic hardware structure diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 9, the electronic device 90 provided in the present embodiment includes: at least one processor 901 and memory 902. The electronic device 90 further comprises a communication component 903. The processor 901, the memory 902, and the communication section 903 are connected by a bus 904.

In a specific implementation, the at least one processor 901 executes computer-executable instructions stored in the memory 902, so that the at least one processor 901 performs the above flow generation method combining the RPA and the AI.

For a specific implementation process of the processor 901, reference may be made to the above method embodiments, which implement principles and technical effects are similar, and details of this embodiment are not described herein again.

In the embodiment shown in fig. 9, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the methods disclosed in the incorporated application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.

The memory may comprise high speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.

The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present disclosure are not limited to only one bus or one type of bus.

The present disclosure also provides a computer-readable storage medium, in which computer-executable instructions are stored, and when a processor executes the computer-executable instructions, the above flow generation method combining RPA and AI is implemented.

The readable storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.

An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in the apparatus.

In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present disclosure, "a plurality" means two or more unless specifically limited otherwise.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process. And the scope of the preferred embodiments of the present disclosure includes additional implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved.

The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.

It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. All or part of the steps of the method of the above embodiments may be implemented by hardware that is configured to be instructed to perform the relevant steps by a program, which may be stored in a computer-readable storage medium, and which, when executed, includes one or a combination of the steps of the method embodiments.

In addition, functional units in the embodiments of the present disclosure may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module may also be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.

The above description is only for the specific embodiments of the present disclosure, but the scope of the present disclosure is not limited thereto, and any person skilled in the art can easily conceive of various changes or substitutions within the technical scope of the present disclosure, which should be covered by the scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims

1. A flow generation method combining RPA and AI, which is applied to RPA management platform, the RPA management platform supports natural language processing NLP, wherein the method comprises:

providing an RPA process creation interface in the RPA management platform, wherein the RPA process creation interface comprises: the RPA task creating interface is used for creating an RPA process, and can be used for triggering the creation of the RPA task;

responding to a first trigger instruction of the RPA task creation interface, and acquiring RPA task creation information; and

and creating the RPA task according to the RPA task creating information.

2. The method of claim 1, wherein said providing an RPA flow creation interface in said RPA management platform comprises:

providing an RPA process management interface in the RPA management platform, wherein the RPA process management interface comprises: the RPA flow creating interface can be used for triggering the creation of the RPA flow;

and providing the RPA process creation interface matched with the RPA process creation information.

3. The method of claim 2, wherein said obtaining RPA task creation information in response to a first triggering instruction for the RPA task creation interface comprises:

responding to a first trigger instruction of the RPA task creation interface, and acquiring an RPA task creation interface matched with the RPA process creation information, wherein the RPA task creation interface comprises: the RPA task creating field to be edited is matched with the RPA process creating information;

4. The method of claim 3, wherein after said retrieving an RPA task creation interface matching the RPA flow creation information in response to a first trigger instruction to the RPA task creation interface, further comprising:

displaying the RPA task creation interface in a pop-up window form on the RPA process creation interface; or

And switching to the RPA task creation interface from the RPA process creation interface.

5. The method of claim 3, wherein said obtaining an RPA task creation interface matching the RPA flow creation information in response to a first trigger instruction to the RPA task creation interface comprises:

responding to a first trigger instruction of the RPA task creation interface, calling the NLP service, and determining the type of the RPA task to be created, which is matched with the RPA process creation information;

and acquiring an RPA task creation interface matched with the type of the RPA task to be created, and taking the RPA task creation interface as the RPA task creation interface matched with the RPA process creation information.

6. The method of claim 1, wherein said creating an RPA task based on said RPA task creation information comprises:

and creating the RPA task according to the task execution information.

7. The method of claim 6, wherein after said creating said RPA task based on said task execution information, further comprising:

generating a task execution instruction according to the RPA task;

transmitting the task execution instruction to the RPA flow execution robot, wherein the RPA flow execution robot can execute the RPA task.

8. A flow generation apparatus combining RPA and AI, applied to an RPA management platform that supports natural language processing NLP, wherein the apparatus comprises:

a processing module, configured to provide an RPA procedure creation interface in the RPA management platform, where the RPA procedure creation interface includes: the RPA task creating interface is used for creating an RPA process, and can be used for triggering the creation of the RPA task;

the acquisition module is used for responding to a first trigger instruction of the RPA task creation interface and acquiring RPA task creation information; and

and the creating module is used for creating the RPA task according to the RPA task creating information.

9. The apparatus of claim 8, wherein the processing module is specifically configured to:

providing an RPA process management interface in the RPA management platform, wherein the RPA process management interface comprises: the RPA process creation interface can be used for triggering the creation of the RPA process;

10. The apparatus of claim 9, wherein the acquisition module comprises:

a first obtaining submodule, configured to obtain, in response to a first trigger instruction for the RPA task creation interface, an RPA task creation interface that is matched with the RPA process creation information, where the RPA task creation interface includes: the RPA task creating field to be edited is matched with the RPA process creating information;

and the second acquisition submodule is used for responding to an editing instruction of the to-be-edited RPA task creation field, calling a Natural Language Processing (NLP) service, and analyzing the editing instruction to acquire the RPA task creation information edited by the to-be-edited RPA task creation field.

11. The apparatus of claim 10, wherein the acquisition module further comprises:

a third obtaining submodule, configured to, after obtaining an RPA task creation interface matched with the RPA process creation information in response to the first trigger instruction for the RPA task creation interface, display the RPA task creation interface in a pop-up window form on the RPA process creation interface; or

And the switching submodule is used for switching the RPA process creation interface to the RPA task creation interface.

12. The apparatus of claim 10, wherein the first acquisition submodule is specifically configured to:

and acquiring an RPA task creation interface matched with the type of the RPA task to be created, and taking the RPA task creation interface matched with the RPA process creation information as the RPA task creation interface.

13. The apparatus of claim 11, wherein the creation module is specifically configured to:

and creating the RPA task according to the task execution information.

14. The apparatus of claim 13, wherein the creation module is further configured to:

according to the task execution information, after the RPA task is created, according to the task execution information, an RPA process execution robot corresponding to the RPA task is determined;

generating a task execution instruction according to the RPA task;

15. An electronic device, comprising: a processor and a memory, the memory storing instructions therein, the instructions being loaded and executed by the processor to implement the combined RPA and AI flow generation method of any of claims 1 to 7.

16. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, implements the combined RPA and AI procedure generation method according to any one of claims 1-7.