CN114896031A - Method and system for compatible scheduling of multiple RPAs - Google Patents
Method and system for compatible scheduling of multiple RPAs Download PDFInfo
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- CN114896031A CN114896031A CN202210224923.XA CN202210224923A CN114896031A CN 114896031 A CN114896031 A CN 114896031A CN 202210224923 A CN202210224923 A CN 202210224923A CN 114896031 A CN114896031 A CN 114896031A
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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 invention discloses a method and a system for compatibly scheduling multiple RPAs, wherein the method comprises the following steps: step one, establishing and acquiring a flow of third-party RPA console service data by using a local RPA and storing the flow; step two, using local RPA to establish and obtain the flow task of the third-party RPA service data and store the flow task; step three, establishing a set of automatic synchronization flow for synchronizing the third-party RPA service data and the operation instruction in the local RPA; creating a corresponding task in a control center of the local RPA, so that the automatic synchronization process synchronizes data to the RPA unified management platform in real time; fifthly, controlling the local RPA, and automatically synchronizing the synchronization process to a console of a third-party RPA by the RPA unified management platform; and step six, after the console of the third-party RPA executes corresponding service work, the updated data can be synchronized to the RPA unified management platform through the automatic synchronization process of the local RPA. The invention greatly reduces the integration threshold, does not need the cooperation of other manufacturers in the integration process and reduces the compatible development cost.
Description
Technical Field
The invention belongs to the technical field of robot process automation, and particularly relates to a method and a system for compatibly scheduling multiple RPAs.
Background
Robot Process Automation (hereinafter referred to as RPA) is software running on a personal computer or a server, mainly functions of simulating a human to control various system software and automatically execute a business Process, and is suitable for large-batch and high-repetition business scenes.
At present, various RPA products exist in the market, and the functional logic and the interface design of the RPA products of each manufacturer are different. Generally, a large-sized customer will use RPA products of multiple manufacturers for various reasons, which results in higher learning cost and much inconvenience when the customer uses the RPA products. In order to solve these problems, a unified scheduling platform for RPAs of multiple manufacturers is required, which can manage RPAs of each manufacturer in a unified manner.
To realize unified monitoring and scheduling of RPA products of multiple manufacturers, the following problems are faced: (1) the RPA controllers and the task data of each manufacturer need to be synchronized to an RPA unified scheduling management platform; (2) the operation instruction of the RPA unified scheduling management platform needs to be transmitted to the RPA controllers of all manufacturers; (3) and (4) converting and unifying the RPA functions of various manufacturers.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a method for scheduling multiple RPAs with compatibility, aiming at solving the problems of different functions of RPA products of multiple manufacturers, high learning cost of users, inconvenience in switching back and forth during use and the like. In addition, the invention also provides a system compatible with multiple RPAs.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect of the present invention, a method for compatibly scheduling multiple RPAs is provided, including the following steps:
step one, establishing and acquiring a process of third-party RPA console service data by using a local RPA and storing the process
Step two, using local RPA to establish and obtain the flow task of the third-party RPA service data and store the flow task;
step three, establishing a set of automatic synchronization flow for synchronizing the third-party RPA service data and the operation instruction in the local RPA;
creating a corresponding task in a control center of the local RPA, so that the automatic synchronization process synchronizes data to the RPA unified management platform in real time;
fifthly, controlling the local RPA, and automatically synchronizing the synchronization process to a console of a third-party RPA by the RPA unified management platform;
and step six, after the console of the third-party RPA executes corresponding service work, the updated data can be synchronized to the RPA unified management platform through the automatic synchronization process of the local RPA.
Further, in the first step, the third-party RPA console is configured to manage an operation flow, a robot, a flow task, and an execution record of the third-party RPA, where the flow task is formed by arranging and combining a plurality of operation flows, the operation flow is executed by the robot, and the execution record is a data record in the process of executing the flow task.
Further, in the second step, the flow task of the third party RPA service data is a sequential combination of flows of the service data.
Further, in the third step, the automatic synchronization process of the local RPA corresponds to the data write API and the data display API of the RPA unified management platform.
Further, in the fourth step, the service data of the third party RPA can be displayed through the RPA unified management platform.
Further, in the fifth step, an intermediate RPA system exists between the RPA unified management platform and the third-party RPA, and is used for automatically capturing service data from a console of the third-party RPA and writing the service data into the RPA unified management platform through an API.
Furthermore, the intermediate RPA system stores the flows of the synchronous service data, the RPA unified management platform triggers the robot of the intermediate RPA system to execute the flows through the API, and the flows of the intermediate RPA system correspond to different contents when different third-party RPAs are executed.
The invention provides a system compatible with scheduling multiple RPAs, which comprises a local RPA, an RPA unified management platform and an intermediate RPA system, wherein the local RPA and the RPA unified management platform perform data interaction, and the RPA unified management platform performs data interaction with a third-party RPA through the intermediate RPA system.
The RPA unified management platform comprises a service layer, a data layer and an API layer;
the service layer comprises a data monitoring module, a task management module, an operation management module, a robot management module, a flow management module, a user management module and a role management module;
the data monitoring module is used for displaying all or part of operation data of the third-party RPA, and the operation data comprises the number of processes, the number of robots, the number of tasks, the number of operations, the statistics of the online conditions of the robots and the statistics of the execution conditions of the operations, and the data comes from a data layer;
the task management module is used for overall planning the process tasks of the RPA of the third party, and the process task data come from the data layer;
the operation management module is used for overall planning the flow execution record of the third-party RPA, and the execution record data comes from the data layer;
the robot management module is used for displaying all or part of robot information of the RPA of the third party, and robot data come from the data layer;
the flow management module is used for displaying all or part of flow data of the third-party RPA, and the flow data come from the data layer;
the user management module is used for managing user members of the unified management platform and realizing the addition, deletion, modification and distribution of user roles;
the role management module is used for managing roles of the users, and limiting the function menu authority of the users on the unified management platform or assigning the functions to the users through the roles;
the data layer is used for persistently storing the third-party RPA operation data and providing the display and interactive service data for the service layer;
the API layer is used for carrying out data interaction with the intermediate RPA system, and the intermediate RPA system captures the third-party RPA service data and writes the data into the RPA unified management platform through the API layer.
The invention greatly reduces the integration threshold, does not need other manufacturers to cooperate in the integration process, reduces the compatible development cost, only needs to develop the relative RPA process when compatible with a new RPA manufacturer, and is convenient for the operation of a user. The invention has low maintenance cost, and when the function of the third-party RPA is changed, the rapid recovery can be realized only by directly modifying the corresponding flow.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a frame diagram of the RPA unified management platform according to the present invention.
Fig. 2 is a flowchart of the interaction between the RPA unified management platform and the third party RPA according to the present invention.
FIG. 3 is a diagram of an automated process cross-platform operation process of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
The embodiment provides a method for compatible scheduling of multiple RPAs, comprising the following steps:
step one, a local RPA is used for establishing and storing a process for acquiring service data of a third-party RPA console, the third-party RPA console is used for managing an operation process, a robot, a process task and an execution record of the third-party RPA, the process task is formed by arranging and combining a plurality of operation processes, the operation process is executed by the robot, and the execution record is a data record in the process of executing the process task.
And step two, establishing and storing a flow task of the third-party RPA service data by using the local RPA, wherein the flow task of the third-party RPA service data is a combination of flows of the service data according to a sequence.
And step three, establishing a set of automatic synchronization flow for synchronizing the third-party RPA service data and the operation instruction in the local RPA, wherein the automatic synchronization flow of the local RPA corresponds to the data writing API and the data display API of the RPA unified management platform.
And fourthly, creating a corresponding task in a control center of the local RPA, enabling the automatic synchronization process to synchronize data to the RPA unified management platform in real time, and displaying the service data of the RPA of the third party through the RPA unified management platform.
And fifthly, controlling the local RPA, and automatically synchronizing the synchronization process to a console of the third-party RPA by the RPA unified management platform. An intermediate RPA system exists between the RPA unified management platform and the multiple RPAs, and is mainly used for automatically capturing service data from a console of the multiple RPAs and writing the service data into the RPA unified management platform through an API. The intermediate RPA system stores various flows of synchronous service data and supports triggering the robot to execute the flows through API. The robot executes the process of various service data synchronization processes, and similar to the process of capturing through codes, the robot captures data from various RPA control consoles and writes the data into a database according to certain rules. But the data synchronization is completed through the RPA process, the capability of adapting to the software environment change is stronger, and the maintenance is more convenient. And speed and performance are still maintained at a higher level. The console of the third-party RPA of multiple manufacturers has respective processing logic for managing various resources. For example, a robot is newly built to execute a task of a flow, and the setting of task parameters and the supervisory control of the task are different. Therefore, when an instruction is executed on the RPA unified management platform, the instruction is reflected to third-party RPA products of different manufacturers, and the flow of the intermediate RPA system needs to correspond to different contents.
And step six, after the console of the third-party RPA executes corresponding service work, the updated data can be synchronized to the RPA unified management platform through the automatic synchronization process of the local RPA. After the user completes an interactive operation on the RPA unified management platform, the RPA unified management platform triggers the intermediate RPA system to execute a corresponding flow through the API according to the RPA product to be controlled and the action to be executed. The robot of the intermediate RPA system finishes the process, namely, the instruction synchronization action is finished.
The embodiment also provides an application scenario of the method for compatibly scheduling multiple RPAs.
RPA unified management platform access one RPA manufacturer product (such as Uipath)
1. And creating a set of processes for synchronizing Uipath service data and operation instructions in the visiting RPA (local RPA), wherein the processes correspond to the data writing API and the data display API of the RPA unified management platform.
2. Corresponding tasks are established in a control center which arrives at the RPA, so that the automatic synchronization processes can synchronize data as real time as possible.
3. And opening the RPA unified management platform to see the service data capable of displaying the Uipath product.
4. The user can automatically synchronize to the console of Uipath by observing the RPA automatic synchronization process in the control action of the RPA unified management platform.
5. After the control console of the Uipath executes the corresponding service action, the updated data can be synchronized to the unified management platform through the automatic synchronization process of the RPA.
6. The user can see the real-time service data of Uipath on the RPA unified management platform.
The embodiment also provides a system compatible with scheduling multiple RPAs, which includes a local RPA, an RPA unified management platform, and an intermediate RPA system, where the local RPA performs data interaction with the RPA unified management platform, and the RPA unified management platform performs data interaction with a third-party RPA through the intermediate RPA system.
The RPA unified management platform comprises a service layer, a data layer and an API layer;
the service layer comprises a data monitoring module, a task management module, an operation management module, a robot management module, a flow management module, a user management module and a role management module;
the data monitoring module is used for displaying all or part of operation data of the third-party RPA, and the operation data comprises the number of processes, the number of robots, the number of tasks, the number of operations, the statistics of the online conditions of the robots and the statistics of the execution conditions of the operations, and the data comes from a data layer;
the task management module is used for overall planning the process tasks of the RPA of the third party, and the process task data come from the data layer;
the operation management module is used for overall planning the flow execution records of the RPA of the third party, and the execution record data comes from the data layer;
the robot management module is used for displaying all or part of robot information of the RPA of the third party, and robot data come from the data layer;
the flow management module is used for displaying all or part of flow data of the third-party RPA, and the flow data come from the data layer;
the user management module is used for managing user members of the unified management platform and realizing the addition, deletion, modification and distribution of user roles;
the role management module is used for managing roles of the users, and limiting the function menu authority of the users on the unified management platform or assigning the functions to the users through the roles;
the data layer is used for persistently storing the third-party RPA operation data and providing the display and interactive service data for the service layer;
the API layer is used for carrying out data interaction with the intermediate RPA system, and the intermediate RPA system captures the third-party RPA service data and writes the data into the RPA unified management platform through the API layer.
Although the present invention has been described in detail with respect to the above embodiments, it will be understood by those skilled in the art that modifications or improvements based on the disclosure of the present invention may be made without departing from the spirit and scope of the invention, and these modifications and improvements are within the spirit and scope of the invention.
Claims (9)
1. A method for compatible scheduling of multiple RPAs, comprising the steps of:
step one, establishing and acquiring a flow of third-party RPA console service data by using a local RPA and storing the flow;
step two, using local RPA to establish and obtain the flow task of the third-party RPA service data and store the flow task;
step three, establishing a set of automatic synchronization flow for synchronizing the third-party RPA service data and the operation instruction in the local RPA;
creating a corresponding task in a control center of the local RPA, so that the automatic synchronization process synchronizes data to the RPA unified management platform in real time;
fifthly, controlling the local RPA, and automatically synchronizing the synchronization process to a console of a third-party RPA by the RPA unified management platform;
and step six, after the console of the third-party RPA executes corresponding service work, the updated data can be synchronized to the RPA unified management platform through the automatic synchronization process of the local RPA.
2. The method according to claim 1, wherein in the first step, the third-party RPA console is configured to manage the operation process, the robot, the process task, and the execution record of the third-party RPA, wherein the process task is formed by arranging and combining a plurality of operation processes, the operation process is executed by the robot, and the execution record is the data record during the execution process of the process task.
3. The method according to claim 1, wherein in said second step, the flow task of the third-party RPA service data in said second step is a sequential combination of flows of service data.
4. The method according to claim 1, wherein in step three, the automatic synchronization process of the local RPA corresponds to the data write API and the data expose API of the RPA unified management platform.
5. The method according to claim 1, wherein in the fourth step, the service data of the third party RPA can be exposed through the RPA unified management platform.
6. The method according to claim 1, wherein in step five, the RPA unified management platform and the third party RPA have an intermediate RPA system, which is used to automatically capture service data from the console of the third party RPA and write the service data into the RPA unified management platform through API.
7. The method according to claim 6, wherein the intermediate RPA system stores flows of each synchronous service data, the RPA unified management platform triggers the robot of the intermediate RPA system to execute the flows through the API, and the flows of the intermediate RPA system correspond to different contents when different third-party RPAs are executed.
8. A system compatible with scheduling multiple RPAs is characterized by comprising a local RPA, an RPA unified management platform and an intermediate RPA system, wherein the local RPA and the RPA unified management platform perform data interaction, and the RPA unified management platform performs data interaction with a third-party RPA through the intermediate RPA system.
9. The system according to claim 8, wherein the RPA unified management platform comprises a service layer, a data layer and an API layer;
the service layer comprises a data monitoring module, a task management module, an operation management module, a robot management module, a flow management module, a user management module and a role management module;
the data monitoring module is used for displaying all or part of operation data of the third-party RPA, and the operation data comprises the number of processes, the number of robots, the number of tasks, the number of operations, the statistics of the online conditions of the robots and the statistics of the execution conditions of the operations, and the data comes from a data layer;
the task management module is used for overall planning the process tasks of the RPA of the third party, and the process task data come from the data layer;
the operation management module is used for overall planning the flow execution record of the third-party RPA, and the execution record data comes from the data layer;
the robot management module is used for displaying all or part of robot information of the RPA of the third party, and robot data come from the data layer;
the flow management module is used for displaying all or part of flow data of the third-party RPA, and the flow data come from the data layer;
the user management module is used for managing user members of the unified management platform and realizing the addition, deletion, modification and distribution of user roles;
the role management module is used for managing roles of the users, and limiting the function menu authority of the users on the unified management platform or assigning the functions to the users through the roles;
the data layer is used for persistently storing the third-party RPA operation data and providing the display and interactive service data for the service layer;
the API layer is used for carrying out data interaction with the intermediate RPA system, and the intermediate RPA system captures the third-party RPA service data and writes the data into the RPA unified management platform through the API layer.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115665212A (en) * | 2022-12-27 | 2023-01-31 | 珠海金智维信息科技有限公司 | Asset centralized management and control platform, method and device based on RPA |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115665212A (en) * | 2022-12-27 | 2023-01-31 | 珠海金智维信息科技有限公司 | Asset centralized management and control platform, method and device based on RPA |
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