Patent Application
20240264852
This application claims priority to Chinese Patent Application No. 202210119825.X filed with the China National Intellectual Property Administration (CNIPA) on Feb. 9, 2022, the disclosure of which is incorporated herein by reference in its entirety.
The present application relates to the technical field of software engineering, for example, a robotic process automation system and method across operating systems.
Robotic process automation (RPA) software runs on a personal computer or a server. A main function of the software is to simulate human to manipulate various types of system software and automatically execute a business process. The software is suitable for large-scale and highly repetitive business scenarios.
Various types of business software are used in different industries and can run on different operating systems (OSs), including Windows, Linux, Mac, and domestic operating systems in China. Workflow and automation technologies used by the RPA software mostly rely on the technology architecture of Microsoft OS and the RPA software is difficult to run on platforms other than Windows.
The present application provides a robotic process automation system across operating systems. The robotic process automation system across operating systems includes an automation process development platform, a control center, and a robot.
The automation process development platform is developed based on a running environment across operating systems and configured to design a corresponding automation business process according to a business scenario requirement, translate the automation business process into a corresponding process code, perform cross-platform encapsulation on the process code, and package the encapsulated cross-platform process code and send the encapsulated cross-platform process code to the control center.
The control center is developed based on a programming language runnable across operating systems and configured to schedule the robot deployed in different operating systems to execute the automation business process corresponding to the cross-platform process code.
The robot is developed based on the programming language runnable across operating systems and configured to download the cross-platform process code to a local operating system, call a process parser of a corresponding category according to a category of the local operating system to perform process parsing on the cross-platform process code, and execute the parsed automation business process.
The present application provides a robotic process automation method across operating systems, which is applied to the robotic process automation system across operating systems. The method includes the steps described below.
The automation process development platform of the system designs a corresponding visual automation business process according to the business scenario requirement.
The automation process development platform translates the automation business process into the corresponding process code.
The automation process development platform encapsulates the process code into the cross-platform process code through a cross-platform software development kit (SDK).
The automation process development platform packages the cross-platform process code and sends the cross-platform process code to the control center of the system.
The control center schedules the robot deployed in different operating systems of the system to execute the automation business process corresponding to the cross-platform process code.
The robot downloads the cross-platform process code to the local operating system as planned.
The robot calls the process parser of the corresponding category according to the category of the local operating system where the robot is located.
The robot parses the cross-platform process code through the process parser.
The robot calls, through the process parser, a cross-platform SDK-related application programming interface (API) referenced by the cross-platform process code so that the API automatically operates corresponding system software.
The technical solutions of the present application are described below in conjunction with drawings and embodiments.
As shown in
In an embodiment, the automation process development platform includes a first front-end interface module, a first process automation software development kit (SDK), and a first underlying service module. The first front-end interface module is configured for human-computer interaction. The first process automation SDK is a cross-platform SDK configured to provide a functional support for the process code to manipulate other software. The first underlying service module is configured to support the first process automation SDK to run on multiple operating systems.
In an embodiment, the first front-end interface module is developed based on Node.js and Electron.
In an embodiment, the first process automation SDK is developed based on Python language.
In an embodiment, the first underlying service module is developed based on C++ language and Java language.
In an embodiment, the control center includes a second front-end interface module, a background service module, and a data storage module. The second front-end interface module is configured for human-computer interaction. The background service module is configured for load balancing and process management. The data storage module is configured to store a process, data, and an operational result.
In an embodiment, the second front-end interface module is developed based on JavaScript and Hyper Text Markup Language (HTML).
In an embodiment, the background service module is developed based on GoLang language, and configured to achieve the load balancing through Nginx, and achieve the process management through the Web framework Gin and the database connection framework Gorm.
In an embodiment, the data storage module stores the data in My Structured Query Language (MySQL) database and Remote Dictionary Server (Redis) database.
In an embodiment, the robot includes a third front-end interface module, a second process automation SDK, and a second underlying service module. The third front-end interface module is configured for human-computer interaction. The second process automation SDK is configured to provide a functional support for the process code to manipulate other software.
The second underlying service module is configured to support the second process automation SDK to run on multiple operating systems.
In an embodiment, the third front-end interface module is developed based on the Node.js.
In an embodiment, the second process automation SDK is developed based on the Python language.
As shown in
In S1, the automation process development platform of the system designs a corresponding visual automation business process according to the business scenario requirement.
In S2, the automation process development platform translates the automation business process into the corresponding process code.
In S3, the automation process development platform encapsulates the process code into the cross-platform process code through a cross-platform software development kit (SDK).
In S4, the automation process development platform packages the cross-platform process code and sends the cross-platform process code to the control center of the system.
In S5, the control center schedules the robot deployed in different operating systems of the system to execute the automation business process corresponding to the cross-platform process code.
In S6, the robot downloads the cross-platform process code to the local operating system as planned.
In S7, the robot calls the process parser of the corresponding category according to the category of the local operating system where the robot is located.
In S8, the robot parses the cross-platform process code through the process parser.
In S9, the robot calls, through the process parser, a cross-platform SDK-related application programming interface (API) referenced by the cross-platform process code so that the API automatically operates corresponding system software.
The present application provides an implementation method for robotic process automation (RPA) across operating systems, aiming to solve the problem that RPA cannot be installed and run on all operating systems. Through a cross-platform software architecture based on technologies such as GoLang, Python, and JavaScript (JS), an underlying service, a front-end interface, and an automation process are deployed and run across platforms, so as to achieve a complete cross-platform RPA software system.
One: the cross-platform robotic automation process mainly relies on the encapsulation and parsing of a cross-platform SDK.
Two: RPA software consists of three parts, including the automation process development platform, the control center, and the robot.
Manners across operating systems are described below.
Deployment of a control center on Windows 10: the control center is quickly deployed and installed on the Win 10 system, a management service is started, and an access request is monitored.
Deployment of a development platform on Windows 10: one-touch installation of the development platform on the Win 10 system is achieved, and connection to the control center is achieved using a connection control center function after the program is started.
Deployment of a robot on Windows 10 and Redhat 7.5 (Linux): one-touch installation of the robot on Win 10 and Redhat 7.5 systems is achieved, and connection to the control center is achieved using the connection control center function after the program is started.
So far, the three parts can communicate with each other and operate normally. The user designs an automation process of Web-side business system manipulation on the development platform deployed by Windows, where the automation process may be released to robots on Windows and Linux through the control center for execution.
Deployment of a control center on Linux: the control center is deployed and installed on the Linux system using the Docker technology, a management service is started, and an access request is monitored.
Deployment of a development platform on Linux: one-touch installation of the development platform on the Linux system is achieved, and connection to the control center is achieved using the connection control center function after the program is started.
Deployment of a robot on Redhat 7.5 and Windows 10: one-touch installation of the robot on Redhat 7.5 and Win 10 systems is achieved, and connection to the control center is achieved using the connection control center function after the program is started.
So far, the three parts can communicate with each other and operate normally. The user designs an automation process of Web-side business system manipulation on the development platform deployed by Linux, where the automation process may be released to robots on Windows and Linux through the control center for execution.
The present application adopts a technical framework based on languages such as GoLang, Python, and JS, is compatible with Windows, Linux, Mac OS, domestic operating systems in China, and the like, solves the difficult problem that traditional RPA cannot be deployed across platforms, and achieves the cross-platform deployment and operation of the underlying service, the front-end interface, and the automation process, thereby achieving the cross-platform of the complete RPA software system and greatly expanding application scenarios of the RPA software system. Based on the RPA across operating systems, the automation process across operating systems can be designed and is directly runnable on different operating systems without redesign. With the development of domestic operating system substitution trend in China, there are more and more business scenarios of the domestic operating systems in China in the future, a large number of Windows platform business processes are migrated, and the migration costs of the cross-platform RPA system are lower. A cross-platform solution based on mainstream language technology has better scalability and stability.
The present application is described with reference to flowcharts and/or block diagrams of a system, a method, and a computer storage medium according to the embodiments of the present application. It is to be understood that the computer program instructions can be used to implement each flow and/or block in the flowcharts and/or block diagrams and a combination of flows and/or blocks in the flowcharts and/or block diagrams. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor or a processor of other programmable data processing equipment to produce a machine so that instructions executed by a computer or the processor of other programmable data processing equipment produce a means for implementing functions specified in one or more flows in the flowcharts and/or one or more blocks in the block diagrams.
These computer program instructions can also be stored in a computer-readable memory which can direct the computer or other programmable data processing equipment to operate in a particular manner so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction means. The instruction means implements the functions specified in one or more flows in the flowcharts and/or one or more blocks in the block diagrams.
These computer program instructions can also be loaded onto the computer or other programmable data processing equipment so that a series of operation steps are performed on the computer or other programmable equipment to produce processing implemented by the computer. Therefore, instructions executed on the computer or other programmable equipment provide steps for implementing the functions specified in one or more flows in the flowcharts and/or one or more blocks in the block diagrams.
| Number | Date | Country | Kind |
|---|---|---|---|
| 202210119825.X | Feb 2022 | CN | national |
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/CN2022/125801 | 10/18/2022 | WO |
