CN113254174A - RPA robot process automation implementation system and method - Google Patents
RPA robot process automation implementation system and method Download PDFInfo
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- CN113254174A CN113254174A CN202110578903.8A CN202110578903A CN113254174A CN 113254174 A CN113254174 A CN 113254174A CN 202110578903 A CN202110578903 A CN 202110578903A CN 113254174 A CN113254174 A CN 113254174A
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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Abstract
The application discloses RPA robot process automation realizes system and method, the system deploys in the high in the clouds, the system includes: the system comprises a flow design module, a control management module and at least one RPA robot cluster; the system comprises a process design module, a task management module and a task management module, wherein the process design module is used for receiving operation of a user on at least one graphic component through a browser, and designing an automatic process which comprises at least one task node and represents a target industry problem solution, at least one node in the automatic process is represented by a graphic corresponding to the graphic component, and one graphic component displayed in the browser is represented by an RPA robot at the cloud end in the browser; and the control management module is used for calling the RPA robot represented by the graphic assembly in the automation flow and executing the task in the automation flow. According to the system and the method, the RPA robot is deployed at the cloud end, so that at least one defect of the robot with the C/S framework can be avoided.
Description
Technical Field
The application relates to the technical field of machine intelligence, in particular to a system and a method for realizing RPA robot process automation.
Background
With the development of Robot Process Automation (RPA) technology and the large-scale use of RPA in various industries, it is a necessary trend to adopt an RPA virtual robot (hereinafter referred to as RPA robot) to assist enterprises (or other organizations) to realize Process Automation and complete digital transformation, which not only helps enterprise users to greatly improve work efficiency, meet high standard requirements on work result accuracy and compliance, but also improves the office experience of users.
At present, most users adopt RPA robots with C/S architecture to realize process automation. However, the RAP robot with this architecture has many disadvantages, for example, the RPA robot version needs to be continuously installed and upgraded locally, large-scale concurrent data and throughput cannot be responded to in time, a large amount of hardware and RPA software need to be purchased, data is stored locally, security is poor, resource utilization rate is low, and the service running on the robot is affected after the RPA robot is down, and so on.
Therefore, there is a need to provide a better RPA robot process automation implementation solution to solve one or more of the above-mentioned drawbacks of the RPA robot with C/S architecture.
Disclosure of Invention
The embodiment of the application provides a system and a method for realizing RPA robot process automation, which aim to solve one or more defects of a robot with a C/S framework.
In a first aspect, an embodiment of the present application provides an automatic RPA robot process implementation system, where the system is deployed in a cloud, and the system includes: the system comprises a flow design module, a control management module and at least one RPA robot cluster, wherein a plurality of RPA robots are deployed in one RPA robot cluster, one RPA robot represents one service component, and one RPA robot provides one service;
the process design module is used for receiving an operation executed by a user on at least one graphic component through a browser, and designing an automatic process which comprises at least one task node and represents a target industry problem solution, wherein one task node in the automatic process represents a solution step aiming at the target industry problem solution, at least one node in the automatic process is represented by a graphic corresponding to the graphic component, and one graphic component displayed in the browser is represented in the browser by an RPA robot at the cloud end;
and the control management module is used for calling the RPA robot represented by the graphic component in the automation flow and executing the task in the automation flow so as to solve the target industry problem.
In a second aspect, an embodiment of the present application further provides an RPA robot process automation implementation method, which is applied to RPA robot process automation implementation, where the system is deployed in a cloud, the system includes a process design module, a control management module, and at least one RPA robot cluster, where a plurality of RPA robots are deployed in one RPA robot cluster, one RPA robot represents one service component, and one RPA robot provides one service, and the method includes:
receiving an operation of a user on at least one graphic component through a browser through a process design module, and designing an automatic process which comprises at least one task node and represents a target industry problem solution, wherein one task node in the automatic process represents a solution step aiming at the target industry problem solution, at least one node in the automatic process is represented by a graph corresponding to the graphic component, and one graphic component displayed in the browser is represented by an RPA robot in the cloud end in the browser;
and calling the RPA robot represented by the graphic component in the automation flow through a control management module, and executing the task in the automation flow so as to solve the target industry problem.
According to the at least one technical scheme, the RPA robot is deployed at the cloud end, so that at least one defect of the robot with the C/S framework can be avoided, and the RPA robot does not need to be installed or upgraded locally by a user.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic diagram of an implementation architecture of an RPA robot process automation implementation system according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of an RPA robot process automation implementation system according to an embodiment of the present disclosure.
Fig. 3 is a schematic structural diagram of an RPA robot process automation implementation system according to another embodiment of the present disclosure.
Fig. 4 is a schematic structural diagram of an RPA robot according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a C/S architecture RPA robot before and after capacity expansion in the related art.
Fig. 6 is a schematic structural diagram of a B/S architecture RPA robot before and after capacity expansion according to an embodiment of the present application.
Fig. 7 is a schematic flowchart of a method for implementing RPA robot process automation according to an embodiment of the present disclosure.
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In order to overcome one or more defects of an RPA robot with a C/S architecture, embodiments of the present application provide a system and a method for implementing RPA robot process automation, and the following describes in detail technical solutions provided by embodiments of the present application with reference to the accompanying drawings.
Fig. 1 shows an implementation architecture diagram of an RPA robot process automation implementation system according to an embodiment of the present application. As shown in fig. 1, an implementation architecture of an RPA robot process automation implementation system provided in an embodiment of the present application includes: the system comprises a terminal device 11 and a cloud end 12, wherein at least one RPA robot 120 is deployed in the cloud end 12.
The implementation architecture shown in fig. 1 may be regarded as an RPA robot system of a B/S architecture, or may be regarded as an RPA robot system based on cloud delivery, and development, operation, and management of RPA robots are all in a cloud. In this way, in practical applications, the user 10 can access the RPA robot 120 deployed in the cloud 12 at any time and at any place through the browser installed on the terminal device 11, and the user does not need to install or upgrade the RPA robot locally, so that the problems of inconvenience in installation and use and the like caused by the influence of the local environment can be avoided.
As shown in fig. 2, in one embodiment, an RPA robot process automation implementation system 200 provided by the present application may include: the process design module 201, the control management module 202, and at least one RPA robot cluster 203, for example, including RPA robot cluster 2031.
A process design module 201, configured to receive an operation performed by a user on at least one graph component through a browser, and design an automated process including at least one task node and representing a target industry problem solution, where one task node in the automated process represents one solution step for the target industry problem solution, at least one node in the automated process is represented by a graph corresponding to the graph component, and one graph component displayed in the browser is represented by an RPA robot in the cloud in the browser.
Specifically, the RPA robot process automation implementation system provided in the embodiment of the present application may provide a process design interface to a user through a browser, and the user may draw an automation flowchart including one or more task nodes represented by a graph corresponding to a graph component in the interface, where the automation flowchart may describe a solution including one or more solution steps in a target industry problem or a service scenario (e.g., fault detection of a communication device), where the one or more solution steps correspond to one RPA robot in a cloud.
Specifically, the graphic component may be understood as a service configuration to be completed by the RPA robot represented by the graphic identifier, and is used to describe the RPA robot that the graphic component specifies to invoke, and optionally, may also be used to describe related parameters given after the RPA robot is invoked to complete a corresponding solution step.
By way of example, the graphical components referred to in embodiments of the present application may include, but are not limited to, graphical components describing the following RPA robots: the system comprises a file processing robot, a database operation robot, a data access robot, a data processing robot, an alarm robot, an AI robot, a mail processing robot, a report robot, a simulation robot, a script execution robot, an interface robot, an index robot, a message processing robot, an instruction execution robot, an instruction task robot and the like, wherein most RPA robots are configured according to actual conditions: service configuration, access configuration, control configuration and operation configuration.
The file processing robot is used for reading, writing, copying, moving and other operations on various files (txt, csv, excel, pdf and the like); the database operation robot is used for connecting the database, operating the database table and the object and supporting an SQL mode and an advanced configuration mode; the data access robot is used for performing processes such as access, cleaning, conversion and the like on internal and external data sources; the data processing robot is responsible for carrying out data comparison, data updating and other operations on the variable one-dimensional data and the two-dimensional data; the alarm robot is responsible for alarming the accessed internal and external data and supporting structured, semi-structured and unstructured data alarm; the AI robot is used for calling the AI model to carry out data prediction, identification and other operations; the report robot is used for accessing a data source to prepare rendering rules and generating pages such as instrument panels, charts, reports and the like; the simulation robot is used for simulating the Web page, the system and the application by a simulation person; the script execution robot is used for executing various scripts (such as java, jar, python, shell and the like) and returning execution results and other operations; the interface robot is used for butting an external web interface and the like; the index robot is used for carrying out index analysis, judgment and other operations on the access data source; the information processing robot is used for presenting, pushing and the like variable data generated by the process robot; RPA industrial robots, for which the type of robot belongs to the industrial category, handling a certain type of event robot in a certain industry, for example: and the instruction robot executes the operations of issuing the instruction, returning the log result information after the instruction runs and the like.
And the control management module 202 is configured to invoke the RPA robot represented by the graphic component in the automation process, and execute the task in the automation process to solve the target industry problem.
In other words, the control management module 202 may be used to schedule the configured automation process. In particular for scheduling tasks in a configured automation flow. Optionally, the control management module 202 may be further configured to track at least one of a running track of the executing automation process and a running state of the scheduled RPA robot, so that a user can know an execution progress of the automation process in time, and a robot maintenance person can know the running state of the RPA robot in time.
In a more detailed example, the control management module 202 may be configured to sequentially invoke an RPA robot represented by a graphic component in the automation flow according to an execution sequence of task nodes in the automation flow, and execute an operation step corresponding to configuration information of the RPA robot, so as to complete a task in the automation flow, thereby solving the target industry problem.
In the embodiment of the present application, a plurality of RPA robots are deployed in an RPA robot cluster, one RPA robot represents one service component, and one RPA robot provides one service, or the RPA robot adopts a micro-service architecture, so that one RPA robot is used for processing an event of a certain specified type.
The RPA robot process automation implementation system provided by the embodiment of the application is different from an RPA robot with a traditional C/S framework in that a B/S framework is adopted. In a traditional RPA robot with a C/S architecture, one computer terminal is an RPA robot, and one RPA robot can process various types of events, and the RPA robot is generally called as an RPA composite robot, commonly called as a composite talent. In the RPA robot based on the B/S architecture provided by the embodiment of the present application, one service component is an RPA robot, and one RPA robot only processes a certain type of event, and such RPA is collectively called as an RPA professional robot, commonly called as a professional talent.
The development, management and operation of the RPA robot provided by the embodiment of the application are all in the cloud, so that the RPA robot and the required resources thereof can be uniformly managed, and the dependence and influence of the RPA robot on the local environment of a user are reduced to the maximum extent. The cloud end may include but is not limited to one or more of a plurality of deployment manners such as a local server, a public cloud, a private cloud, and a hybrid cloud.
Specifically, one RPA robot cluster may include a plurality of nodes, one robot container is disposed on one node, and one RPA robot is packaged in one robot container. For example, the RPA robot may be packaged in a container such as a Docker, and then the Docker packaged with the RPA robot may be deployed in a node of the RPA robot cluster.
In the RPA robot process automation implementation system provided in the embodiment shown in fig. 2, since the RPA robot is deployed in the cloud, at least one defect of the robot with the C/S architecture can be avoided, and at least one of the following technical effects is obtained: (1) the user does not need to install or upgrade the RPA robot locally; (2) the requirement that a user can use the RPA robot quickly through a browser at any time and any place can be met; (3) the service scene with large number of concurrent users and high throughput can be supported; (4) a user does not need to buy a large amount of hardware and RPA software locally; (5) data are stored in the cloud, so that the security is higher; (6) and after one RPA robot is down, the service requested and processed by the user cannot be influenced, and the like.
As shown in fig. 3, in another embodiment, the RPA robot process automation implementation system 200 provided by the present application may include: the system comprises a process design module 201, a control management module 202 and at least one RPA robot cluster 203, wherein the at least one robot cluster 203 specifically comprises: a process RPA robot cluster 2031, a generic RPA robot cluster 2032, and a dedicated RPA robot cluster 2033.
A process design module 201, configured to receive an operation performed by a user on at least one graph component through a browser, and design an automated process including at least one task node and representing a target industry problem solution, where one task node in the automated process represents one solution step for the target industry problem solution, at least one node in the automated process is represented by a graph corresponding to the graph component, and one graph component displayed in the browser is represented by an RPA robot in the cloud in the browser.
And the control management module 202 is configured to invoke the RPA robot represented by the graphic component in the automation process, and execute the task in the automation process to solve the target industry problem.
A plurality of RPA robots are deployed in an RPA robot cluster, one RPA robot represents one service component, and one RPA robot provides one service.
The process RPA robot cluster comprises a plurality of process RPA robots, the process RPA robots are responsible for the operations of logic control, logic operation and the like of the other RPA robots (the general RPA robots and/or the special RPS robots), and different general RPA robots and special RPS robots can be connected through the process RPA robots. It can be understood that the combination and matching of different general RPA robots and special RPA robots can realize the automatic and intelligent application scenes of manned and unmanned operation.
The general RPA robot cluster comprises a plurality of general RPA robots, one general RPA robot is used for providing a service which is general for each industry, for example, the general RPA robot can include but is not limited to one or more of the following robots: a file processing robot, a database operation robot, a data access robot, a data processing robot, an alarm robot, an AI robot, a mail processing robot, a report robot, an analog robot, a script execution robot, an interface robot, a pointing robot, a message processing robot, etc.
Wherein, the dedicated RPA robot cluster includes a plurality of dedicated RPA robots, wherein, a dedicated RPA robot is used for providing a service dedicated to a specific industry, and the dedicated RPA robot is an RPA robot customized to better meet the business requirements of the industry, for example, the dedicated RPA robot may include but is not limited to one or more of the following robots: the instruction execution robot, the certificate OCR recognition robot, the invoice OCR recognition robot and the like.
Correspondingly, the control management module 202 may be configured to invoke the process RPA robot, so that the process RPA robot invokes the general RPA robot or the special RPA robot represented by the graph component in the automation process according to the execution sequence of the task nodes in the automation flowchart, and executes the task in the automation process, so as to solve the target industry problem.
In practical application, a user can access and construct an automatic process through a browser, and then the control management module schedules the RPA process robot to trigger the RPA general robot and/or the RPA industrial robot to jointly complete automatic and intelligent operation. For example, in the large-scale equipment inspection process, a large amount of equipment, inspection instructions and log acquisition instructions can be configured in the RPA instruction robot, then the RPA instruction robot is called to log in each equipment and send the inspection instructions and the log acquisition instructions, the mass equipment is inspected and mass logs are acquired, and automatic log analysis and rule judgment are performed; and the RPA report robot can be called to display abnormal equipment, the RPA mail robot is called to alarm, and related personnel are informed to maintain the equipment, and the like. In a word, a user can flexibly and quickly edit the service requirement through the process design module, and further flexibly expand the application scene and range of the automatic system.
The embodiment shown in fig. 3 can achieve at least the same technical effects as the embodiment shown in fig. 2, and the details are referred to above and will not be described repeatedly herein.
The internal components of the RPA robot according to the embodiment of the present application will be described below with reference to fig. 4.
As shown in fig. 4, the RPA robot 400 involved in the embodiment of the present application may include: a service configuration module 401, a fetch configuration module 402, a control configuration module 403 and an operation configuration module 404.
A service configuration module 401, configured to implement configuration of a service to be implemented by the RPA machine. In general, the RPA robot is told what it needs to do, and the module is the service input module of the RPA robot.
And the access configuration module 402 is configured to implement an access operation according to the configuration information of the service, and store the access data in a database for the RPA robot or other RPA robots to use. Optionally, operations such as variable binding can also be implemented according to configuration information of the service.
The control configuration module 403 is configured to implement the judgment of the interaction logic between the RPA robot and another RPA robot, and provide an execution basis for the internal execution of the RPA robot and the interaction logic between the RPA robot and an external RPA robot.
An operation configuration module 404, configured to implement configuration of operations to be implemented by the RPA robot, for example, configuration of operations providing operations of the RPA robot, such as operation, access, loop, parameter transfer, variable binding, and data storage.
As an example, within one RPA robot, the execution sequence of the above four modules may be a control configuration module 403, a service configuration module 401, an access configuration module 402, and an operation configuration module 404 in sequence. In the control configuration module 403, the RPA robot performs service configuration, access configuration, and operation configuration once regardless of whether the loop operation is turned on.
Optionally, parameter transfer and data sharing are supported between RPA robots in the embodiment of the present application.
Optionally, the RPA robot in the embodiment of the present application adopts a micro-service architecture, is stateless, and is deployed in a cluster and operated in a containerized manner, so that large-scale concurrency and high throughput are supported, and any user in the robot cluster who is down does not perceive the user and does not affect service processing.
It can be understood that for a large amount of devices, a large number of concurrent login sending instructions are needed, a large number of semi-structured logs are analyzed, the processing efficiency of the RPA instruction robot is required to be high in the scene, the resource consumption is high, through the RPA instruction robot cluster processing, states among the RPA instruction robots are absent, and metadata and device metadata in the operation process of the RPA instruction robot can be shared, so that the RPA instruction robot is beneficial to transverse expansion and device maximum concurrent number limitation, and the current operation state failure of the devices due to device concurrent data limitation is prevented.
Optionally, in order to better perform full-life-cycle management and control on the RPA robot, the construction, operation, test, management of the RPA robot, data storage and the like of the RPA robot process automation implementation system provided by the embodiment of the present application are deployed in a cloud, so that the dependence on the local environment of the user is reduced to the maximum extent. Meanwhile, the contents are deployed in the cloud, and the characteristics of DevOps, continuous delivery, micro-service, containerization deployment and the like are also met. In the process of development and operation, the DevOps completes the life cycle management of the whole RPA robot by the cooperation, communication and construction of each robot through automatic tools, thereby realizing the research and development, debugging and delivery of a system under multiple environments and under the cooperation of multiple personnel and more quickly and frequently; the continuous delivery refers to the development without delay and the updating and upgrading of the continuous service, and is an agile development model of a small-step quick-running anti-traditional waterfall type, so that the appeal of frequently updating functions of users is met; the microservice has the characteristics of high cohesion, low coupling and the like, and the Restful mode is adopted for calling between services, so that the microservice has the characteristics of small-step running, capacity expansion and maintenance on demand and the like; container deployment, through Kubernetes can dynamic scheduling RPA robot container, realize according to the actual condition of business, dynamic elastic expansion RPA robot, RPA robot is all managed and maintained by indiscriminate encapsulation in the container simultaneously, have reduced the problem that development environment, test environment and production environment are inconsistent and bring.
The RPA robot is deployed at the cloud end, cloud delivery can be well achieved, overall planning and planning of resources are facilitated, resources are distributed according to needs, the RPA robot is expanded to carry out corresponding expansion according to the service condition of the robot, the utilization rate of the resources is improved, and enterprise purchasing and implementation cost are reduced.
It can also be understood that the RPA robot is deployed at the cloud end, so that the standardization of the RPA robot and the ecological construction of the RPA robot are facilitated, the RPA robot is integrated with other services at the cloud end more easily, the delivery efficiency of a project is accelerated, modes such as charging according to needs, opening boxes and using the RPA robot and the like are met, the RPA robot is promoted to continuously output efficient, stable, high-disaster-tolerance and convenient services, and the use experience of a user is further improved.
Optionally, when the RPA robot is deployed on a node in the RPA robot cluster by being packaged in a container, different robot containers in the RPA robot cluster can be dynamically scheduled through kubernets, so that the purpose of dynamically and elastically expanding the RPA robot according to actual service conditions is achieved.
Optionally, resources required by a target RPA robot, wherein the resources include, but are not limited to, one or more of computing resources, storage resources, and network resources, are further packaged in the target robot container, the target robot container being any robot container in the RPA robot cluster, and the target RPA robot being an RPA robot packaged in the target robot container.
Alternatively, when the resources required by the target RPA robot packaged in the target robot container are insufficient, for example, when the resource usage rate exceeds 90%, the capacity expansion may be performed according to the actual usage demand of the resources. Specifically, the target RPA robot can be copied and repackaged to a new target robot container, wherein the copying of the target RPA robot means that an RPA robot which is the same as the target RPA robot is expanded to share corresponding tasks; and then expanding the capacity in a mode of deploying the new target robot container to the nodes of the RPA robot cluster. It can be understood that the resources required for the target RPA robot can be increased once for each new deployment of a target robot container in which the target RPA robot is packaged. That is to say, the RPA robot cluster supports capacity expansion, and specifically, the number of the target RPA robots that need to be expanded is determined according to at least one of the traffic received by the system and the resource usage (such as usage rate) of the target RPA robots, and then the capacity expansion is realized by increasing the number of the target RPA robots.
It can be understood that, since in the embodiment of the present application, one RPA robot only provides one service, when the resource of a certain type of RPA robot is insufficient, only the number of RPA robots of that type need to be expanded, and the number of RPA robots of other types need not to be expanded.
FIG. 5 shows a comparison of the conventional C/S architecture RPA robot before and after expansion. Fig. 6 shows a comparison diagram before and after capacity expansion of an RPA robot with a B/S architecture according to an embodiment of the present application.
Referring to fig. 5, before expansion, the RPA robot of C/S architecture belongs to an RPA compound robot capable of handling multiple types of events, and one RPA robot 501 includes multiple modules capable of handling different types of events respectively: module 1, module 2, module 3 and module 4. Assuming that the resource utilization rates of the four modules are 15%, 30%, 20% and 90% respectively, it is not difficult to find that the resource utilization rate of the module 4 is too high, and there is a possibility of resource shortage, and capacity expansion needs to be performed, specifically, the RPA robot 501 is copied to obtain a new RPA robot 502, so that there are two RPA robots, and the resource utilization rates of the corresponding modules 4 are also reduced, specifically, the resource utilization rates of the modules 4 in the RPA robot 501 and the RPA robot 502 are both reduced to 45%.
As can be seen from fig. 6, before capacity expansion, one RPA robot in the B/S architecture can only process one type of event, and multiple RPA robots are required to process multiple types of events, for example, RPA robot 1, RPA robot 2, RPA robot 3, and RPA robot 4 are required, and it can be understood that these four robots respectively correspond to modules 1 to 4 in fig. 5 one to one. Assuming that the resource utilization rates of the four RPA robots are 15%, 30%, 20%, and 90%, respectively, it is not difficult to find that the resource utilization rate of the RPA robot 4 is too high, and there is a possibility that the resource is insufficient, and capacity expansion is required, specifically, the RPA robot 4 is copied to obtain a new RPA robot 4, so that there are two RPA robots 4, and the resource utilization rate of the corresponding RPA robot 4 is also reduced (from 90% to 45%).
As can be easily seen by comparing fig. 5 and fig. 6, in the C/S architecture, when the resource of a certain module is insufficient, since many modules are integrated in the same RPA robot, it is inevitable to expand the number of other modules in the same number in addition to the number of the modules. In the embodiment of the application, when the resource of a certain RPA robot is insufficient, only the number of the RPA robot needs to be expanded, and the number of other RPA robots does not need to be expanded, so that the resource of the RPA robot can be utilized to the maximum extent, and the condition of idle and waste of the resource can not occur.
The above is an introduction of the RPA robot process automation implementation system provided in the embodiment of the present application. Corresponding to the above RPA robot process automation implementation system, the embodiment of the present application further provides an RPA robot process automation implementation method, which is introduced below.
As shown in fig. 7, in an embodiment, an RPA robot process automation implementation method provided in an embodiment of the present application is applied to the RPA robot process automation implementation system, where the system includes a process design module, a control management module, and at least one RPA robot cluster, where a plurality of RPA robots are deployed in one RPA robot cluster, one RPA robot represents one service component, and one RPA robot provides one service, and the method may include the following steps:
step 701, receiving an operation, executed by a user through a browser, of at least one graphic component through a process design module, and designing an automated process including at least one task node and representing a target industry problem solution, wherein one task node in the automated process represents one solution step for the target industry problem solution, at least one node in the automated process is represented by a graph corresponding to the graphic component, and one graphic component displayed in the browser is represented in the browser by one RPA robot in the cloud.
And 702, calling the RPA robot represented by the graphic component in the automation flow through a control management module, and executing the task in the automation flow so as to solve the target industry problem.
Optionally, the cloud comprises: at least one of a local server, a public cloud, a private cloud, and a hybrid cloud.
Optionally, the RPA robot cluster includes a plurality of nodes, one robot container is disposed on one node, and one RPA robot is packaged in one robot container.
Optionally, the target robot container further encapsulates resources required by a target RPA robot, wherein the target robot container is any one of the RPA robot containers in the RPA robot cluster, and the target RPA robot is an RPA robot encapsulated in the target robot container.
Optionally, the method further comprises: and determining the number of the target RPA robots needing to be expanded according to the service volume received by the system and the resource use condition of the target RPA robots, and expanding the capacity by increasing the number of the target RPA robots.
Optionally, the robotic container is Docker.
According to the RPA robot process automation implementation method provided by the embodiment of the application, the RPA robot is deployed at the cloud end, so that at least one defect of the robot with a C/S framework can be avoided, and at least one technical effect as follows is achieved: (1) the user does not need to install or upgrade the RPA robot locally; (2) the requirement that a user can use the RPA robot quickly through a browser at any time and any place can be met; (3) the service scene with large number of concurrent users and high throughput can be supported; (4) a user does not need to buy a large amount of hardware and RPA software locally; (5) data are stored in the cloud, so that the security is higher; (6) and after one RPA robot is down, the service requested and processed by the user cannot be influenced, and the like.
It should be noted that, since the RPA robot process automation implementation method provided in the embodiment of the present application corresponds to the RPA robot process automation implementation system provided in the embodiment of the present application, a description of an RPA robot process automation implementation method in the present specification is simpler, and reference is made to the description of an RPA robot process automation implementation system in the foregoing for relevant points.
Fig. 8 shows a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 8, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 8, but that does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
The processor reads a corresponding computer program from the nonvolatile memory to the memory and then runs the computer program, and forms an RPA robot process automation implementation system on a logic level, wherein the system comprises a process design module, a control management module and at least one RPA robot cluster, a plurality of RPA robots are deployed in one RPA robot cluster, one RPA robot represents one service component, and one RPA robot provides one service and is specifically used for executing the following operations:
receiving, by the process design module, an operation performed by a user on at least one graph component through a browser, and designing an automated process including at least one task node representing a target industry problem solution, where one task node in the automated process represents one solution step for the target industry problem solution, at least one node in the automated process is represented by a graph corresponding to a graph component, and one graph component displayed in the browser is represented by an RPA robot in the cloud in the browser;
and calling the RPA robot represented by the graphic component in the automation flow through the control management module, and executing the task in the automation flow so as to solve the target industry problem.
The RPA robot process automation implementation method disclosed in the embodiment of fig. 7 of the present application may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
An embodiment of the present application further provides a computer-readable storage medium storing one or more programs, where the one or more programs include instructions, which, when executed by an electronic device including a plurality of application programs, enable the electronic device to perform a method for implementing RPA robot process automation in the embodiment shown in fig. 7, and specifically are configured to perform the following operations:
receiving an operation of a user on at least one graphic component through a browser through a process design module, and designing an automatic process which comprises at least one task node and represents a target industry problem solution, wherein one task node in the automatic process represents a solution step aiming at the target industry problem solution, at least one node in the automatic process is represented by a graph corresponding to the graphic component, and one graphic component displayed in the browser is represented by an RPA robot in the cloud end in the browser;
and calling the RPA robot represented by the graphic component in the automation flow through a control management module, and executing the task in the automation flow so as to solve the target industry problem.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.
It should be noted that all the embodiments in the present application are described in a related manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. The RPA robot process automation implementation system is characterized in that the system is deployed at a cloud end and comprises: the system comprises a flow design module, a control management module and at least one RPA robot cluster, wherein a plurality of RPA robots are deployed in one RPA robot cluster, one RPA robot represents one service component, and one RPA robot provides one service;
the process design module is used for receiving an operation executed by a user on at least one graphic component through a browser, and designing an automatic process which comprises at least one task node and represents a target industry problem solution, wherein one task node in the automatic process represents a solution step aiming at the target industry problem solution, at least one node in the automatic process is represented by a graphic corresponding to the graphic component, and one graphic component displayed in the browser is represented in the browser by an RPA robot at the cloud end;
and the control management module is used for calling the RPA robot represented by the graphic component in the automation flow and executing the task in the automation flow so as to solve the target industry problem.
2. The system of claim 1, wherein the cloud comprises: at least one of a local server, a public cloud, a private cloud, and a hybrid cloud.
3. The system of claim 1, wherein the RPA robot cluster comprises a plurality of nodes, one robot container disposed on each node, and one RPA robot enclosed in each robot container.
4. The system of claim 3, wherein a target robot container further encapsulates resources required by a target RPA robot, wherein the target robot container is any robot container in the RPA robot cluster, and wherein the target RPA robot is an RPA robot encapsulated in the target robot container.
5. The system of claim 4, wherein the RPA robot cluster supports capacity expansion, and wherein the number of the target RPA robots to be expanded is determined according to the traffic received by the system and the resource usage of the target RPA robots, and capacity expansion is achieved by increasing the number of the target RPA robots.
6. The system of any of claims 2-5, wherein the robotic container is Docker.
7. The system according to any one of claims 1-5, wherein one RPA robot comprises: a service configuration module, a fetch configuration module, a control configuration module and an operation configuration module, wherein,
the service configuration module is used for realizing the configuration of the service to be realized by the RPA robot;
the access configuration module is used for realizing access operation according to the configuration information of the service and storing the accessed data to a database;
the control configuration module is used for judging the interaction logic of the RPA robot and other RPA robots;
and the operation configuration module is used for realizing the configuration of the operation to be realized by the RPA robot.
8. The system of any one of claims 1-5, wherein the at least one RPA robot cluster comprises: a general RPA robot cluster and a special RPA robot cluster;
the universal RPA robot cluster comprises a plurality of universal RPA robots, wherein one universal RPA robot is used for providing a service which is universal in various industries;
the special RPA robot cluster comprises a plurality of special RPA robots, wherein one special RPA robot is used for providing a service special for a specified industry.
9. The system of any one of claims 1-5, wherein the at least one RPA robot cluster further comprises: a process RPA robot cluster;
the process RPA robot cluster comprises a plurality of process RPA robots;
the control management module is used for calling the process RPA robot so that the process RPA robot calls a general RPA robot or a special RPA robot represented by a graphic component in the automation process according to the execution sequence of task nodes in the automation process diagram to execute tasks in the automation process to solve the target industry problem.
10. A RPA robot process automation implementation method is applied to RPA robot process automation implementation, the system is deployed at a cloud, the system comprises a process design module, a control management module and at least one RPA robot cluster, wherein a plurality of RPA robots are deployed in one RPA robot cluster, one RPA robot represents a service component, and one RPA robot provides a service, and the method comprises the following steps:
receiving, by the process design module, an operation performed by a user on at least one graph component through a browser, and designing an automated process including at least one task node representing a target industry problem solution, where one task node in the automated process represents one solution step for the target industry problem solution, at least one node in the automated process is represented by a graph corresponding to a graph component, and one graph component displayed in the browser is represented by an RPA robot in the cloud in the browser;
and calling the RPA robot represented by the graphic component in the automation flow through the control management module, and executing the task in the automation flow so as to solve the target industry problem.
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