RPA robot edge computing method, device and system

Abstract

An embodiment of the present application provides an RPA robot edge computing method, device, and system, the method comprising: an RPA edge computing node applied to a communication connection with a management platform, the method comprising: receiving a script download instruction sent by the management platform, wherein, after receiving a workflow request sent by a user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification; executes a script download task according to the script download instruction, and feeds back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is a successful download; receives the RPA execution instruction sent by the management platform, and executes the corresponding business process according to the RPA execution instruction; the present application can effectively reduce network overhead and improve the overall operating efficiency of the system.

Description

Technical Field

[0001] This application relates to the field of RPA robots, and specifically to an RPA robot edge computing method, device, and system. Background Art

[0002] Robotic Process Automation (RPA) is an automation technology that uses machines to simulate human operations on computers. It can replace human interaction with computers in business processes, thereby automating business processes.

[0003] However, in existing RPA technical solutions, according to different deployment methods, they can be mainly divided into: online deployment RPA and stand-alone deployment RPA.

[0004] For online RPA robots, the technical solution is to deploy agent clients on PCs or virtual machines. These clients connect to a centrally deployed server or server cluster via the network. The server then deploys RPA to automatically execute scripts. When an automated process is initiated, the server sends instructions to the agent, which then activates the operating system, browser, office software, and other related functions to automate the business process.

[0005] For stand-alone RPA robots, the technical solution is to simultaneously deploy an agent for executing instructions and a server for generating instructions on a PC terminal or virtual machine, or to deploy a functional combination of the two to enable the robot to operate independently of the network.

[0006] For online RPA deployments, the server (controller) cluster handles the majority of the computing power while the agent machines handle a smaller portion. This has the disadvantage that, because the server handles the majority of the computing power, network overhead increases and server response speeds decrease when a large number of RPAs are deployed.

[0007] For standalone RPA deployments, the agent computer bears all the computing power when the program is running. This has the following drawbacks: First, it cannot handle large-scale calculations; second, the agent needs to perform background calculations and foreground simulation operations simultaneously, which can slow down the agent's operation and even cause the robot to process abnormally.

[0008] In addition, online and standalone RPA deployments also have other technical drawbacks, which are summarized as follows:

[0009] 1. When deploying RPA robots online, the agent execution process relies heavily on server-side command issuance. When there are a large number of agents, network communication overhead is high, and the processing timeliness of a single agent is poor.

[0010] 2. Deploying RPA robots on a single machine makes function updates difficult.

[0011] 3. When deploying an RPA robot on a single machine, robot monitoring is not possible.

[0012] 4. Deploy RPA robots online. When the RPA robot agent is deployed on a physical machine, remote batch operation and maintenance configuration is impossible. This makes adaptation complex and maintenance arduous, easily leading to production issues.

[0013] 5. When deploying an RPA robot online and its agent is deployed on a virtual machine, it cannot call commonly used business peripherals such as printers, scanners, and cameras.

[0014] 6. When deploying an RPA robot on a single machine, its logical operations are located on the deployed RPA machine itself, making complex operations difficult.

[0015] 7. Dependency management is difficult for both online and standalone RPA deployments. If RPA robots running in different scenarios require different working environments (for example, both scenarios rely on the same office software, but with different versions), and if they rely on external devices, existing solutions require deploying multiple physical machines and connecting them to different peripherals, distributing the RPA robots separately and preventing integrated deployment. This complicates deployment and wastes resources.

[0016] In summary, existing RPA robot technology, on the one hand, fails to achieve both interconnected RPA robots and decentralized computing power. Online robots can implement a range of interconnected functions, but the computing load is too concentrated. Standalone robots distribute computing power, but cannot achieve interoperability. Furthermore, decentralized computing power strategies can only combine computing and simulation loads, failing to separate them. Both online and standalone robots implement decentralized computing by running scripts on the same computer as the agent. Computational work and RPA robot simulated manual operations are located on the same machine, making them susceptible to mutual interference and potentially adverse consequences. Summary of the Invention

[0017] In response to the problems in the existing technology, this application provides an RPA robot edge computing method, device and system, which can effectively reduce network overhead and improve the overall operating efficiency of the system.

[0018] In order to solve at least one of the above problems, the present application provides the following technical solutions:

[0019] In a first aspect, the present application provides an RPA robot edge computing method, which is applied to an RPA edge computing node in communication with a management platform, the method comprising:

[0020] Receiving a script download instruction sent by the management platform, wherein, after receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and finding that the script passes the verification;

[0021] Execute the script download task according to the script download instruction, and feed back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is successful;

[0022] Receive the RPA execution instruction sent by the management platform, and execute the corresponding business process according to the RPA execution instruction.

[0023] Furthermore, executing the corresponding business process according to the RPA execution instruction includes:

[0024] Calling and setting edge computing node services according to the RPA execution instructions;

[0025] The downloaded script is run through the edge computing node service.

[0026] Furthermore, the step of calling up and setting an edge computing node service according to the RPA execution instruction includes:

[0027] Obtaining edge computing service instances from a set registration center in an online mode according to the RPA execution instructions;

[0028] The corresponding edge computing node service is called through the edge computing service instance.

[0029] Furthermore, the step of calling up and setting an edge computing node service according to the RPA execution instruction includes:

[0030] Reading a local configuration file in standalone mode according to the RPA execution instruction, wherein the local configuration file contains the listening IP and port of the edge computing node after startup;

[0031] The corresponding edge computing node service is started according to the local configuration file.

[0032] In a second aspect, the present application provides an RPA robot edge computing method, which is applied to a management platform that is communicatively connected to an RPA edge computing node. The method includes:

[0033] After receiving a workflow request from a user, the system determines the script and RPA edge computing node corresponding to the workflow. After verifying the script and finding that it passes the verification, the system sends a script download instruction to the RPA edge computing node, so that the RPA edge computing node executes the script download task according to the script download instruction and provides feedback on the script download result.

[0034] Receive the script download result sent by the RPA edge computing node, and send an RPA execution instruction to the RPA edge computing node when the script download result is successful, so that the RPA edge computing node executes the corresponding business process according to the RPA execution instruction.

[0035] Furthermore, after receiving the workflow request sent by the user, the method further includes:

[0036] Call the script repository interface to perform script verification;

[0037] After the script is verified, the device identifier of the corresponding RPA edge computing node is associated and bound with the script.

[0038] In a third aspect, the present application provides an RPA robot edge computing device, including:

[0039] A script download instruction receiving module, configured to receive a script download instruction sent by the management platform. Upon receiving a workflow request from a user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and finding that it passes the verification.

[0040] A script download execution module, configured to execute the script download task according to the script download instruction and to feed back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is successful;

[0041] The business process execution module is used to receive the RPA execution instruction sent by the management platform and execute the corresponding business process according to the RPA execution instruction.

[0042] Furthermore, the business process execution module includes:

[0043] A service initiating unit, configured to initiate a set edge computing node service according to the RPA execution instruction;

[0044] A script running unit is used to run the downloaded script through the edge computing node service.

[0045] Furthermore, the service initiating unit includes:

[0046] An instance determination subunit, configured to obtain an edge computing service instance from a set registration center in an online mode according to the RPA execution instruction;

[0047] The online invocation subunit is used to invoke the corresponding edge computing node service through the edge computing service instance.

[0048] Furthermore, the service initiating unit includes:

[0049] A configuration determination subunit, configured to read a local configuration file in a standalone mode according to the RPA execution instruction, wherein the local configuration file includes a listening IP and port of the edge computing node after startup;

[0050] The stand-alone startup sub-unit is used to start the corresponding edge computing node service according to the local configuration file.

[0051] In a fourth aspect, the present application provides an RPA robot edge computing device, including:

[0052] The script instruction issuing module is used to, upon receiving a workflow request from a user, determine the script and RPA edge computing node corresponding to the workflow, and after verifying the script and finding it passes the verification, send a script download instruction to the RPA edge computing node, so that the RPA edge computing node executes the script download task according to the script download instruction and provides feedback on the script download result.

[0053] The RPA instruction issuing module is used to receive the script download result sent by the RPA edge computing node, and when the script download result is successful, send an RPA execution instruction to the RPA edge computing node, so that the RPA edge computing node executes the corresponding business process according to the RPA execution instruction.

[0054] Furthermore, the script instruction issuing module includes:

[0055] Script verification unit, used to call the script repository interface to perform script verification;

[0056] The association and binding unit is used to associate and bind the device identifier of the corresponding RPA edge computing node with the script after the script is verified.

[0057] In a fifth aspect, the present application provides an RPA robot edge computing system, comprising a management platform and an RPA edge computing node in communication with the management platform;

[0058] The RPA edge computing node includes:

[0059] A script download instruction receiving module is used to receive the script download instruction sent by the management platform;

[0060] A script download execution module, configured to execute the script download task according to the script download instruction and to feed back the script download result to the management platform;

[0061] A business process execution module, configured to receive RPA execution instructions sent by the management platform and execute corresponding business processes according to the RPA execution instructions;

[0062] The management platform includes:

[0063] The script instruction issuing module is used to, upon receiving a workflow request from a user, determine the script and RPA edge computing node corresponding to the workflow, and send a script download instruction to the RPA edge computing node after verifying the script and passing the verification;

[0064] The RPA instruction issuing module is used to receive the script download result sent by the RPA edge computing node, and send an RPA execution instruction to the RPA edge computing node when the script download result is successful.

[0065] In a sixth aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the RPA robot edge computing method when executing the program.

[0066] In the seventh aspect, the present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the RPA robot edge computing method are implemented.

[0067] In an eighth aspect, the present application provides a computer program product, comprising a computer program / instruction, which, when executed by a processor, implements the steps of the RPA robot edge computing method.

[0068] It can be seen from the above technical solution that the present application provides an RPA robot edge computing method, device and system, which receives a script download instruction sent by a management platform, wherein, after receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification; executes the script download task according to the script download instruction, and feeds back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is a successful download; receives the RPA execution instruction sent by the management platform, and executes the corresponding business process according to the RPA execution instruction, thereby effectively reducing network overhead and improving the overall operation efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0070] Figure 1 This is one of the flow charts of the RPA robot edge computing method in the embodiment of this application;

[0071] Figure 2 This is the second flow chart of the RPA robot edge computing method in the embodiment of this application;

[0072] Figure 3 This is the third flow chart of the RPA robot edge computing method in the embodiment of this application;

[0073] Figure 4 This is the fourth flow chart of the RPA robot edge computing method in the embodiment of this application;

[0074] Figure 5 This is the fifth flow chart of the RPA robot edge computing method in the embodiment of this application;

[0075] Figure 6 This is the sixth flow chart of the RPA robot edge computing method in the embodiment of this application;

[0076] Figure 7 This is one of the structural diagrams of the RPA robot edge computing device in the embodiment of this application;

[0077] Figure 8 This is the second structural diagram of the RPA robot edge computing device in the embodiment of this application;

[0078] Figure 9 This is the third structural diagram of the RPA robot edge computing device in the embodiment of this application;

[0079] Figure 10 This is the fourth structural diagram of the RPA robot edge computing device in the embodiment of this application;

[0080] Figure 11 This is the fifth structural diagram of the RPA robot edge computing device in the embodiment of this application;

[0081] Figure 12 This is the sixth structural diagram of the RPA robot edge computing device in the embodiment of this application;

[0082] Figure 13 This is a schematic diagram of the structure of the RPA robot edge computing system in an embodiment of the present application;

[0083] Figure 14 Schematic diagram of the structure of the electronic device in the embodiment of the present application. DETAILED DESCRIPTION

[0084] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0085] The acquisition, storage, use, and processing of data in this application's technical solution comply with relevant national laws and regulations.

[0086] Taking into account the problems existing in the prior art, the present application provides an RPA robot edge computing method, device and system, which receives a script download instruction sent by a management platform, wherein, after receiving a workflow request sent by a user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification; executes the script download task according to the script download instruction, and feeds back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is a successful download; receives the RPA execution instruction sent by the management platform, and executes the corresponding business process according to the RPA execution instruction, thereby effectively reducing network overhead and improving the overall operation efficiency of the system.

[0087] In order to effectively reduce network overhead and improve the overall operating efficiency of the system, this application provides an embodiment of an RPA robot edge computing method, which is applied to an RPA edge computing node connected to a management platform for communication. Figure 1 The RPA robot edge computing method specifically includes the following:

[0088] Step S101: Receive a script download instruction sent by the management platform. After receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification.

[0089] Optionally, in this application, the user selects a process and the RPA robot they want to execute it on the management platform. After matching the process with the RPA robot, the user clicks the Submit and Execute buttons. The management platform reviews the scripts involved in the process and verifies each script. The script verification process calls the / script / varify / interface in the script repository. This verifies the existence of the script, its downloadability, and whether it has been downloaded by the terminal. If the script has not been downloaded by the terminal, the RPA robot serial number is added to the downloadable terminal whitelist and verified when the RPA robot subsequently downloads the script.

[0090] Optionally, in this application, after the management platform successfully verifies the script, it calls the / getScript / interface of the RPA robot edge computing service to notify the RPA robot that it can download the script and tells the RPA robot which scripts to download.

[0091] Step S102: executing the script download task according to the script download instruction, and feeding back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is successful.

[0092] Optionally, in this application, after receiving the / getScript / request, the RPA robot edge computing service calls the / script / download / interface or / script / download / batch / interface of the script repository to download a single script or batch scripts.

[0093] Optionally, in this application, the RPA robot edge computing service calls the management platform download result synchronization interface: / ec / script / download / synstatus / to provide result feedback when the script download succeeds or fails.

[0094] Optionally, in this application, if the management platform receives feedback that the script has been successfully downloaded from the RPA robot edge computing node, it will issue the RPA start execution instruction and call the / startflow / interface of the edge computing RPA robot execution service to call the corresponding process.

[0095] Step S103: Receive the RPA execution instruction sent by the management platform, and execute the corresponding business process according to the RPA execution instruction.

[0096] Optionally, in this application, the edge computing RPA robot execution service receives the call-up instruction issued by the management platform and starts executing the business process.

[0097] From the above description, it can be seen that the RPA robot edge computing method provided in the embodiment of the present application can receive a script download instruction sent by a management platform, wherein, after receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification; executes the script download task according to the script download instruction, and feeds back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is a successful download; receives the RPA execution instruction sent by the management platform, and executes the corresponding business process according to the RPA execution instruction, thereby effectively reducing network overhead and improving the overall operation efficiency of the system.

[0098] In one embodiment of the RPA robot edge computing method of the present application, see Figure 2 , and can also include the following:

[0099] Step S201: Calling and setting edge computing node services according to the RPA execution instruction.

[0100] Step S202: running the downloaded script through the edge computing node service.

[0101] Optionally, in this application, after the edge computing RPA robot execution service starts executing the RPA process, at different nodes of the process, the edge computing node service inside the RPA robot will be called up to run the business logic script in the edge computing node.

[0102] In one embodiment of the RPA robot edge computing method of the present application, see Figure 3 , and can also include the following:

[0103] Step S301: Obtain an edge computing service instance from a set registration center in an online mode according to the RPA execution instruction.

[0104] Step S302: Invoke the corresponding edge computing node service through the edge computing service instance.

[0105] Optionally, in this application, the edge computing service call during the execution of the edge computing RPA robot can be divided into two modes: the first mode is the online mode and the second mode is the offline mode.

[0106] In online mode, the RPA automatic execution service obtains the edge computing service EC_NODE_[RPA robot serial number] instance from the NACOS registry to call the edge computing service.

[0107] In one embodiment of the RPA robot edge computing method of the present application, see Figure 4 , and can also include the following:

[0108] Step S401: Read the local configuration file in stand-alone mode according to the RPA execution instruction, wherein the local configuration file has built-in listening IP and port of the edge computing node after startup.

[0109] Step S402: Start the corresponding edge computing node service according to the local configuration file.

[0110] Optionally, in standalone mode, the RPA automated execution service reads the local configuration file and invokes the edge computing service. This local configuration file is pre-created when the RPA robot is initialized. It specifies the listening IP and port of the built-in edge computing node after startup.

[0111] During the RPA automatic execution process, the business components within the process call the business logic scripts that have been downloaded from the edge computing service and receive the return after the edge computing is completed.

[0112] In a feasible embodiment of the present application, the following example is used to execute the service of filling in the parameter table by the customer:

[0113] Step 1: Connect the Edge Computing RPA robot to the network, power supply, and display (optional), and turn on the device. In this example, the Edge Computing RPA robot's unique machine ID (mac_id) is: 0200110101001.

[0114] Step 2: Log in to the management system, select the RPA robot device based on the machine's unique code (mac_id), select the task to be executed, and click Send Script to execute it.

[0115] Step 3: The management system verifies the business logic scripts involved in the customer parameter form filling process.

[0116] This process involves three business logic scripts:

[0117] Customer parameter table summary script:

[0118] / home / uploadfile / cust_info_rpa / summary.py

[0119] Customer parameter table verification script:

[0120] / home / uploadfile / cust_info_rpa / validate.py

[0121] Customer parameter table email sending script:

[0122] / home / uploadfile / cust_info_rpa / mail_send.py

[0123] These three business logic scripts are stored in the script repository.

[0124] The management system uses NACOS to find the script repository service: SP_SERVER, and uses POST to access the / script / varify / interface corresponding to port 10800 of the service instance to verify the script. In this example, the instance IP is 85.18.29.64, so the access address is: http: / / 85.18.29.64:10800 / script / varify / .

[0125] Verify that the following tasks are complete: check whether the script exists, check whether the script status is available, and register the edge computing RPA robot to be downloaded.

[0126] Step 4: The management system notifies the RPA robot edge computing system to download the script. NACOS finds the edge computing service corresponding to the machine code (mac_id): 0200110101001.

[0127] Step 5: The RPA robot edge computing node reports the file download results. Obtain the management system service instance through NACOS and call the / ec / script / download / synstatus / interface of the service instance. In this example, the instance IP address is 85.18.29.65. The full request URL is: http: / / 85.18.29.65:10900 / ec / script / download / synstatus / .

[0128] Step 6: The management system obtains the RPA automated execution service instance information through NACOS. Call the / startflow / interface of the automated execution service instance to start the RPA process. In this example, the instance IP address is 85.18.45.46. The full request URL is: http: / / 85.18.45.46:10600 / startflow / .

[0129] Step 7: The RPA automatic execution node in the RPA robot calls the business process with flow_id 1010 for process processing.

[0130] The RPA execution module starts to execute the reporting task and obtains the edge computing service instance from NACOS through the service discovery public component.

[0131] Automatically download the customer information table online and call the automatic summary script of the customer parameter table in the edge computing node to merge the customer information table.

[0132] The RPA automatic execution module gets the merged table and starts to call the customer parameter table verification script in the edge computing node to perform data verification. The verification content is the card status, validity period, whether it is overdue, identity information and other business content in the customer information table, and judgment is made according to business needs.

[0133] After RPA verifies the customer parameter table, it backfills the webpage information for customers who pass the verification. For customers who fail the verification, it obtains the latest customer information through online query and updates the parameter table. After the parameter table is updated, the customer parameter table verification script in the edge computing node is called again to perform data verification.

[0134] After RPA performs a secondary verification of the customer parameter table, it calls the customer parameter table email sending script in the edge computing node to send a reminder email to customers who fail the verification. For customers who pass the verification, the web page information is refilled.

[0135] The RPA execution process ends and notifies the public component, notifying the edge computing node of the process processing results. The edge computing node stops service monitoring and calls the process status synchronization interface of the management system to synchronize the process status and update the process status to end.

[0136] If the RPA robot is connected to a monitor, the automatic execution process can be viewed on the monitor.

[0137] In another feasible embodiment of the present application, an example is given of obtaining an image file in a USB flash drive and performing automatic OCR recognition processing:

[0138] Step 1: Connect the edge computing RPA robot to the network, power supply, and display (optional), and turn on the device.

[0139] Step 2: Copy the file to be processed to a USB drive and insert it into the USB port of this device.

[0140] Step 3: Enter the management platform, select the robot device, and select the processing flow (similar to step 2 in typical business scenario 1, but the processing flow ID is different from business scenario 1).

[0141] Step 4: The OCR recognition model is sent to the edge computing module via the network. This process involves four business logic scripts. (The script verification and delivery functions are similar to those in Typical Business Scenario 1, but the script encoding, URL, and other specific script information are different.)

[0142] Step 5: The RPA execution module begins the automated processing task, automatically opening the USB drive, obtaining the files in the specified path, and automatically reading the image files one by one. (The RPA execution process is similar to Step 7 in Typical Business Scenario 1.)

[0143] Step 6: The RPA execution module calls the edge computing module's OCR recognition interface to perform image content recognition and save the recognition results to a USB flash drive. (The RPA business execution process is similar to step 7 in typical business scenario 1.)

[0144] Step 7: After the RPA image recognition process is complete, the results are fed back to the edge computing module, which then aggregates and transmits them back to the management system for statistical analysis. (The RPA execution process is similar to Step 7 in Typical Business Scenario 1.)

[0145] In another feasible embodiment of the present application, a prefabricated RPA robot is used as an example to implement offline batch data processing:

[0146] Step 1: Connect the edge computing RPA robot to the network, power supply, and display (optional), and turn on the device.

[0147] Step 2: Write the business processing logic into the edge computing module (similar to step 2 in typical business scenario 1, but the processing process ID is different from business scenario 1).

[0148] Step 3: Take the edge computing RPA robot offline, and have business personnel take it to the batch data processing business location.

[0149] Step 4: At the business location, connect the edge computing RPA robot to a power source, monitor, keyboard, mouse, etc. Do not connect it to the internet.

[0150] Step 5: Use a USB drive or other storage tool to connect the data to this robot.

[0151] Step 6: After verifying the data access, the RPA robot begins automatic execution, automatically opening the data file in the USB drive, reading the content, and analyzing it. The analysis logic is implemented by calling the logical processing interface of the edge computing module.

[0152] From the above content, it can be seen that this application can at least achieve the following technical effects:

[0153] 1. Edge computing RPA robots, based on traditional online and standalone RPA robots, introduce edge computing nodes. This offloads the complex logical calculations involved in the robot's work to the built-in edge computing nodes, distributing computing power, reducing network overhead with the data center, and improving processing efficiency.

[0154] 2. Edge computing RPA robots automatically execute services built into the device's computing board. They can be remotely deployed with one click based on the application scenario in a networked environment, saving RPA deployment costs and facilitating unified configuration, restoration, replacement, and other maintenance operations.

[0155] 3. Edge computing RPA robots can be set up once and used multiple times, and can be carried by business personnel for use in different scenarios.

[0156] In order to effectively reduce network overhead and improve the overall operating efficiency of the system, this application provides an embodiment of an RPA robot edge computing method, which is applied to a management platform that is connected to the RPA edge computing node. Figure 5 The RPA robot edge computing method specifically includes the following:

[0157] Step S501: After receiving the workflow request sent by the user, determine the script and RPA edge computing node corresponding to the workflow, and after verifying the script and passing the verification, send a script download instruction to the RPA edge computing node, so that the RPA edge computing node executes the script download task according to the script download instruction and feeds back the script download result.

[0158] Step S502: Receive the script download result sent by the RPA edge computing node, and when the script download result is successful, send an RPA execution instruction to the RPA edge computing node, so that the RPA edge computing node executes the corresponding business process according to the RPA execution instruction.

[0159] From the above description, it can be seen that the RPA robot edge computing method provided in the embodiment of the present application can receive a script download instruction sent by a management platform, wherein, after receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification; executes the script download task according to the script download instruction, and feeds back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is a successful download; receives the RPA execution instruction sent by the management platform, and executes the corresponding business process according to the RPA execution instruction, thereby effectively reducing network overhead and improving the overall operation efficiency of the system.

[0160] In one embodiment of the RPA robot edge computing method of the present application, see Figure 6 , and can also include the following:

[0161] Step S601: Call the script repository interface to perform script verification.

[0162] Step S602: After the script is verified, the device identifier of the corresponding RPA edge computing node is associated and bound with the script.

[0163] In order to effectively reduce network overhead and improve the overall operating efficiency of the system, this application provides an embodiment of an RPA robot edge computing device for implementing all or part of the RPA robot edge computing method. Figure 7 The RPA robot edge computing device specifically includes the following contents:

[0164] The script download instruction receiving module 10 is used to receive the script download instruction sent by the management platform. After receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification.

[0165] The script download execution module 20 is configured to execute the script download task according to the script download instruction and to feed back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is successful.

[0166] The business process execution module 30 is used to receive the RPA execution instruction sent by the management platform and execute the corresponding business process according to the RPA execution instruction.

[0167] From the above description, it can be seen that the RPA robot edge computing device provided in the embodiment of the present application can receive a script download instruction sent by a management platform, wherein, after receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification; executes the script download task according to the script download instruction, and feeds back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is a successful download; receives the RPA execution instruction sent by the management platform, and executes the corresponding business process according to the RPA execution instruction, thereby effectively reducing network overhead and improving the overall operation efficiency of the system.

[0168] In one embodiment of the RPA robot edge computing device of the present application, see Figure 8 , the business process execution module 30 includes:

[0169] The service initiating unit 31 is configured to initiate a set edge computing node service according to the RPA execution instruction.

[0170] The script running unit 32 is configured to run the downloaded script through the edge computing node service.

[0171] In one embodiment of the RPA robot edge computing device of the present application, see Figure 9 , the service initiating unit 31 includes:

[0172] The instance determination subunit 311 is used to obtain an edge computing service instance from a set registration center in an online mode according to the RPA execution instruction.

[0173] The online invocation subunit 312 is configured to invoke the corresponding edge computing node service through the edge computing service instance.

[0174] In one embodiment of the RPA robot edge computing device of the present application, see Figure 10 , the service initiating unit 31 includes:

[0175] The configuration determination subunit 313 is used to read the local configuration file in a stand-alone mode according to the RPA execution instruction, wherein the local configuration file has a built-in listening IP and port of the edge computing node after startup.

[0176] The stand-alone startup subunit 314 is configured to start the corresponding edge computing node service according to the local configuration file.

[0177] In order to effectively reduce network overhead and improve the overall operating efficiency of the system, this application provides an embodiment of an RPA robot edge computing device for implementing all or part of the RPA robot edge computing method. Figure 11 The RPA robot edge computing device specifically includes the following contents:

[0178] The script instruction issuing module 40 is used to determine the script and RPA edge computing node corresponding to the workflow after receiving the workflow request sent by the user, and send a script download instruction to the RPA edge computing node after verifying the script and passing the verification, so that the RPA edge computing node executes the script download task according to the script download instruction and feedbacks the script download result.

[0179] The RPA instruction issuing module 50 is used to receive the script download result sent by the RPA edge computing node, and when the script download result is successful, send an RPA execution instruction to the RPA edge computing node, so that the RPA edge computing node executes the corresponding business process according to the RPA execution instruction.

[0180] From the above description, it can be seen that the RPA robot edge computing device provided in the embodiment of the present application can receive a script download instruction sent by a management platform, wherein, after receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification; executes the script download task according to the script download instruction, and feeds back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is a successful download; receives the RPA execution instruction sent by the management platform, and executes the corresponding business process according to the RPA execution instruction, thereby effectively reducing network overhead and improving the overall operation efficiency of the system.

[0181] In one embodiment of the RPA robot edge computing device of the present application, see Figure 12 , the script instruction issuing module 40 includes:

[0182] The script verification unit 41 is used to call the script repository interface to perform script verification.

[0183] The association and binding unit 42 is used to associate and bind the device identifier of the corresponding RPA edge computing node with the script after the script is verified.

[0184] In order to further illustrate this solution, this application also provides a specific application example of a system that uses the above-mentioned RPA robot edge computing device to implement the RPA robot edge computing method, see Figure 13 , specifically including the following contents: a management platform and an RPA edge computing node communicating with the management platform.

[0185] The RPA edge computing node includes:

[0186] The script download instruction receiving module 10 is used to receive the script download instruction sent by the management platform.

[0187] The script download execution module 20 is configured to execute the script download task according to the script download instruction and to feed back the script download result to the management platform.

[0188] The business process execution module 30 is used to receive the RPA execution instruction sent by the management platform and execute the corresponding business process according to the RPA execution instruction.

[0189] The management platform includes:

[0190] The script instruction issuing module 40 is used to determine the script and RPA edge computing node corresponding to the workflow after receiving the workflow request sent by the user, and send a script download instruction to the RPA edge computing node after verifying the script and passing the verification.

[0191] The RPA instruction issuing module 50 is used to receive the script download result sent by the RPA edge computing node, and send an RPA execution instruction to the RPA edge computing node when the script download result is successful.

[0192] From a hardware perspective, in order to effectively reduce network overhead and improve overall system operating efficiency, this application provides an embodiment of an electronic device for implementing all or part of the RPA robot edge computing method. The electronic device specifically includes the following:

[0193] A processor, a memory, a communications interface, and a bus; wherein the processor, memory, and communications interface communicate with each other via the bus; the communications interface is used to transmit information between the RPA robot edge computing device and related devices such as the core business system, user terminals, and related databases; the logic controller can be a desktop computer, a tablet computer, a mobile terminal, etc., but this embodiment is not limited to this. In this embodiment, the logic controller can be implemented with reference to the embodiments of the RPA robot edge computing method and the RPA robot edge computing device in the embodiments, and their contents are incorporated herein, and repeated parts are not repeated.

[0194] It is understandable that the user terminal may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a personal digital assistant (PDA), a vehicle-mounted device, a smart wearable device, etc. Among them, the smart wearable device may include smart glasses, a smart watch, a smart bracelet, etc.

[0195] In actual applications, part of the RPA robot edge computing method can be executed on the electronic device side as described above, or all operations can be completed on the client device. The specific selection can be based on the processing capabilities of the client device and the limitations of the user's usage scenario. This application does not limit this. If all operations are completed on the client device, the client device may also include a processor.

[0196] The client device may include a communication module (i.e., a communication unit) that can establish a communication connection with a remote server to implement data transmission with the server. The server may include a server on the task scheduling center side, and in other implementation scenarios, may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, a server cluster consisting of multiple servers, or a server structure of a distributed device.

[0197] Figure 14 Schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Figure 14 As shown, the electronic device 9600 may include a central processing unit 9100 and a memory 9140; the memory 9140 is coupled to the central processing unit 9100. It is worth noting that the Figure 14 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0198] In one embodiment, the RPA robot edge computing method function can be integrated into the central processing unit 9100. The central processing unit 9100 can be configured to perform the following control:

[0199] Step S101: Receive a script download instruction sent by the management platform. After receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification.

[0200] Step S102: executing the script download task according to the script download instruction, and feeding back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is successful.

[0201] Step S103: Receive the RPA execution instruction sent by the management platform, and execute the corresponding business process according to the RPA execution instruction.

[0202] From the above description, it can be seen that the electronic device provided in the embodiment of the present application receives a script download instruction sent by a management platform, wherein, after receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification; executes the script download task according to the script download instruction, and feeds back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is a successful download; receives the RPA execution instruction sent by the management platform, and executes the corresponding business process according to the RPA execution instruction, thereby effectively reducing network overhead and improving the overall operation efficiency of the system.

[0203] In another embodiment, the RPA robot edge computing device can be configured separately from the central processing unit 9100. For example, the RPA robot edge computing device can be configured as a chip connected to the central processing unit 9100, and the RPA robot edge computing method function can be implemented through the control of the central processing unit.

[0204] like Figure 14 As shown, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily have to include Figure 14 In addition, the electronic device 9600 may also include all components shown in Figure 14 For components not shown, reference may be made to the prior art.

[0205] like Figure 14 As shown, the central processing unit 9100 is sometimes also referred to as a controller or operation control, and may include a microprocessor or other processor device and / or logic device. The central processing unit 9100 receives input and controls the operation of various components of the electronic device 9600.

[0206] Memory 9140 can be, for example, one or more of a cache, flash memory, hard drive, removable media, volatile memory, non-volatile memory, or other suitable devices. It can store the aforementioned failure-related information and also store programs that execute the relevant information. The CPU 9100 can execute the programs stored in memory 9140 to implement information storage or processing.

[0207] The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 may be, for example, a keypad or touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used to display objects such as images and text. The display may be, for example, an LCD display, but is not limited thereto.

[0208] The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), or a SIM card. Alternatively, it may be a memory that retains information even when power is off, can be selectively erased, and is provided with more data. Examples of such memory are sometimes referred to as EPROMs. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application / function storage unit 9142 for storing application programs and function programs or processes for executing the operation of the electronic device 9600 by the central processing unit 9100.

[0209] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various driver programs for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0210] The communication module 9110 is a transmitter / receiver 9110 that transmits and receives signals via an antenna 9111. The communication module (transmitter / receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as in a conventional mobile communication terminal.

[0211] Based on different communication technologies, multiple communication modules 9110 can be provided in the same electronic device, such as a cellular network module, a Bluetooth module, and / or a wireless local area network module. The communication module (transmitter / receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132, thereby implementing common telecommunication functions. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. Furthermore, the audio processor 9130 is also coupled to the central processing unit 9100, enabling local recording via the microphone 9132 and playback of stored audio via the speaker 9131.

[0212] Embodiments of the present application also provide a computer-readable storage medium capable of implementing all steps of the RPA robot edge computing method in the above-mentioned embodiment, where the execution subject is a server or a client. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the computer program implements all steps of the RPA robot edge computing method in the above-mentioned embodiment, where the execution subject is a server or a client. For example, when the processor executes the computer program, the following steps are implemented:

[0213] Step S101: Receive a script download instruction sent by the management platform. After receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification.

[0214] Step S102: executing the script download task according to the script download instruction, and feeding back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is successful.

[0215] Step S103: Receive the RPA execution instruction sent by the management platform, and execute the corresponding business process according to the RPA execution instruction.

[0216] From the above description, it can be seen that the computer-readable storage medium provided in the embodiment of the present application receives a script download instruction sent by a management platform, wherein, after receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification; executes the script download task according to the script download instruction, and feeds back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is a successful download; receives the RPA execution instruction sent by the management platform, and executes the corresponding business process according to the RPA execution instruction, thereby effectively reducing network overhead and improving the overall operation efficiency of the system.

[0217] Embodiments of the present application also provide a computer program product capable of implementing all steps of the RPA robot edge computing method in the above-mentioned embodiment, where the execution subject is a server or a client. When the computer program / instructions are executed by a processor, the computer program / instructions implement the steps of the RPA robot edge computing method. For example, the computer program / instructions implement the following steps:

[0218] Step S101: Receive a script download instruction sent by the management platform. After receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification.

[0219] Step S102: executing the script download task according to the script download instruction, and feeding back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is successful.

[0220] Step S103: Receive the RPA execution instruction sent by the management platform, and execute the corresponding business process according to the RPA execution instruction.

[0221] From the above description, it can be seen that the computer program product provided in the embodiment of the present application receives a script download instruction sent by a management platform, wherein, after receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and passing the verification; executes the script download task according to the script download instruction, and feeds back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is a successful download; receives the RPA execution instruction sent by the management platform, and executes the corresponding business process according to the RPA execution instruction, thereby effectively reducing network overhead and improving the overall operation efficiency of the system.

[0222] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, apparatus, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0223] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (apparatus), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as a combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0224] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0225] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0226] Specific embodiments are used in the present invention to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

Claims

1. An RPA robot edge computing method, characterized in that: Applied to an RPA edge computing node in communication with a management platform, the method includes: Receiving a script download instruction sent by the management platform, wherein, after receiving the workflow request sent by the user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and finding that the script passes the verification; Execute the script download task according to the script download instruction, and feed back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is successful; Receive the RPA execution instruction sent by the management platform, and execute the corresponding business process according to the RPA execution instruction; Among them, after receiving the workflow request sent by the user, the management platform also includes: calling the script repository interface to perform script verification; after the script verification passes, the device identifier of the corresponding RPA edge computing node is associated and bound with the script.

2. The RPA robot edge computing method according to claim 1, characterized in that: Executing the corresponding business process according to the RPA execution instruction includes: Calling and setting edge computing node services according to the RPA execution instructions; The downloaded script is run through the edge computing node service.

3. The RPA robot edge computing method according to claim 2, characterized in that: The step of calling and setting an edge computing node service according to the RPA execution instruction includes: Obtaining edge computing service instances from a set registration center in an online mode according to the RPA execution instructions; The corresponding edge computing node service is called through the edge computing service instance.

4. The RPA robot edge computing method according to claim 2, characterized in that: The step of calling and setting an edge computing node service according to the RPA execution instruction includes: Reading a local configuration file in standalone mode according to the RPA execution instruction, wherein the local configuration file contains the listening IP and port of the edge computing node after startup; The corresponding edge computing node service is called according to the local configuration file.

5. An RPA robot edge computing method, characterized in that: Applied to a management platform in communication with an RPA edge computing node, the method includes: After receiving a workflow request from a user, the system determines the script and RPA edge computing node corresponding to the workflow. After verifying the script and finding that it passes the verification, the system sends a script download instruction to the RPA edge computing node, so that the RPA edge computing node executes the script download task according to the script download instruction and provides feedback on the script download result. receiving a script download result sent by the RPA edge computing node, and sending an RPA execution instruction to the RPA edge computing node when the script download result is successful, so that the RPA edge computing node executes a corresponding business process according to the RPA execution instruction; Wherein, after receiving the workflow request sent by the user, the following steps are included: Call the script repository interface to perform script verification; After the script is verified, the device identifier of the corresponding RPA edge computing node is associated and bound with the script.

6. An RPA robot edge computing device, characterized in that: include: A script download instruction receiving module, configured to receive a script download instruction sent by the management platform. Upon receiving a workflow request from a user, the management platform determines the script and RPA edge computing node corresponding to the workflow, and sends a script download instruction after verifying the script and finding that it passes the verification. A script download execution module, configured to execute the script download task according to the script download instruction and to feed back the script download result to the management platform, so that the management platform sends an RPA execution instruction when the script download result is successful; A business process execution module, configured to receive RPA execution instructions sent by the management platform and execute corresponding business processes according to the RPA execution instructions; Among them, after receiving the workflow request sent by the user, the management platform also includes: calling the script repository interface to perform script verification; after the script verification passes, the device identifier of the corresponding RPA edge computing node is associated and bound with the script.

7. An RPA robot edge computing device, characterized in that: include: The script instruction issuing module is used to, upon receiving a workflow request from a user, determine the script and RPA edge computing node corresponding to the workflow, and after verifying the script and finding it passes the verification, send a script download instruction to the RPA edge computing node, so that the RPA edge computing node executes the script download task according to the script download instruction and provides feedback on the script download result. An RPA instruction issuing module is configured to receive a script download result sent by the RPA edge computing node, and when the script download result is successful, send an RPA execution instruction to the RPA edge computing node, so that the RPA edge computing node executes the corresponding business process according to the RPA execution instruction; The script instruction issuing module includes: Script verification unit, used to call the script repository interface to perform script verification; The association and binding unit is used to associate and bind the device identifier of the corresponding RPA edge computing node with the script after the script is verified.

8. An RPA robot edge computing system, characterized in that: It includes a management platform and an RPA edge computing node in communication with the management platform; The RPA edge computing node includes: A script download instruction receiving module is used to receive the script download instruction sent by the management platform; A script download execution module, configured to execute the script download task according to the script download instruction and to feed back the script download result to the management platform; A business process execution module, configured to receive RPA execution instructions sent by the management platform and execute corresponding business processes according to the RPA execution instructions; The management platform includes: The script instruction issuing module is used to, upon receiving a workflow request from a user, determine the script and RPA edge computing node corresponding to the workflow, and send a script download instruction to the RPA edge computing node after verifying the script and passing the verification; An RPA instruction issuing module is configured to receive a script download result sent by the RPA edge computing node, and send an RPA execution instruction to the RPA edge computing node when the script download result is successful; Among them, the script instruction issuing module is also used to: after receiving the workflow request sent by the user, call the setting script warehouse interface to perform script verification; after the script verification passes, associate and bind the device identifier of the corresponding RPA edge computing node with the script.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the RPA robot edge computing method described in any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the RPA robot edge computing method described in any one of claims 1 to 5 are implemented.

11. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the steps of the RPA robot edge computing method described in any one of claims 1 to 5 are implemented.

Images