TWM650128U - Robotic process automation (rpa) virtual machine management system - Google Patents

Abstract

The Robotic Process Automation (RPA) virtual machine management system includes a plurality of RPA virtual machines for executing a business process to correspondingly generate a work record, and a management host coupled to the RPA virtual machines. The management host is used to display an analysis dashboard, and to extract records that meet the filter conditions from the work records of RPA virtual machines according to a filter condition. The analysis dashboard displays a real-time execution information analysis page, an execution overview analysis page or an execution quality analysis page of at least one RPA virtual machine in the form using image and list.

Description

Process robot virtual machine management system

The present invention relates to a management system, in particular to a process robot virtual machine management system.

In their daily office processes, traditional enterprise employees often need to handle or operate various computer work processes such as data input, data comparison, report production, or email notifications. These highly repetitive and regular manual computer tasks not only occupy employees' time and energy, but also lead to poor overall work efficiency. Therefore, by introducing process robots (RPA: Robotic Process Automation) and building them on virtual machines, we can assist employees in their daily fixed logic and repetitive business processes to increase employee work efficiency.

However, when many types of business processes are executed on process robot virtual machines, if managers want to know the real-time operation of each virtual machine, the time and status of process execution. You need to log in to the virtual machines one by one to view them, which is inefficient and cannot immediately understand the current status and full picture of all virtual machines.

Therefore, how to improve administrator management and control the real-time operating status of each virtual machine is an issue that needs to be solved urgently in the industry.

One implementation aspect of the present invention provides a process robot virtual machine management system, including: a plurality of process robot virtual machines, wherein each of the plurality of process robot virtual machines is used to execute a business process and generate a corresponding Work records; and a management host coupled to the plurality of process robot virtual machines through a network, wherein the management host is used to display an analysis dashboard, and the management host selects data from the plurality of process robot virtual machines according to a filtering condition. Records that meet the filtering conditions are retrieved from the work record, and a real-time information analysis page, an execution overview analysis page, or an execution of at least one of the plurality of process robots are displayed on the analysis dashboard in the form of an image matching list. On the quality analysis page, the management host further dynamically allocates a new business process to one of the plurality of process robot virtual machines that has not executed the business process based on the execution information of the plurality of process robot virtual machines on the real-time information analysis page. Process Robot Virtual Machine.

In some embodiments, the work record at least includes: the name of a process robot virtual machine that executes the business process, the department of the business process, the name of the business process, and the execution start and end date of the business process.

In some embodiments, the analysis dashboard further includes a plurality of selection blocks that are respectively linked to the real-time information analysis page, the execution overview analysis page and the execution quality analysis page.

In some embodiments, the real-time information analysis page further includes a plurality of horizontal bar charts, wherein each of the plurality of horizontal bar charts is used to respectively display the business process being executed by a corresponding process robot virtual machine. The plurality of horizontal bar charts The length of each bar chart indicates how long the business process being executed by the corresponding process robot virtual machine has been executed.

In some embodiments, each of the plurality of horizontal bar graphs further provides a floating display page to display the business process department being executed by the corresponding process robot virtual machine, the name of a user who started the business process, and the name of the user who started the business process. The name of the business process, the time when the business process was started, and the time when the corresponding process robot virtual machine started running the business process.

In some embodiments, the execution overview analysis page further includes a plurality of horizontal bar charts, wherein each of the plurality of horizontal bar charts is used to respectively display the business processes that have been executed by a process robot virtual machine in a time interval. , the length of each of the plurality of horizontal bar charts represents the execution time.

In some embodiments, each of the plurality of horizontal bar graphs further provides a floating display page to display the business process department that has been executed by the corresponding process robot virtual machine, the name of a user who started the business process, The name of the business process, the time when the business process was started, and the time when the corresponding process robot virtual machine started running the business process.

In some embodiments, the execution overview analysis page further includes a plurality of vertical bar charts, wherein each of the plurality of vertical bar charts is used to respectively display the cumulative execution of a corresponding process robot virtual machine in a time interval. time.

In some embodiments, when the plurality of process robot virtual machines include at least two process robot virtual machines that have not executed the business process, the management host further determines a new business process based on the accumulated execution time of the at least two process robot virtual machines. Dynamically allocated to one of the at least two process robot virtual machines with smaller cumulative execution time.

In some embodiments, the execution quality analysis page further includes a plurality of vertical bar charts, wherein each of the plurality of vertical bar charts is used to respectively display the cumulative execution of a corresponding process robot virtual machine in a time interval. Success rate.

In some embodiments, the management host further includes an input device for accepting the filtering conditions.

This project creates an analysis dashboard, which displays each process robot virtual machine in the form of a list of images according to the filtering conditions of the process robot virtual machine manager, or displays real-time execution information, execution overview, and execution information between different process robot virtual machines at the same time. Execution quality and historical operation information are available for managers of process robot virtual machines to make judgments and comparisons to quickly obtain a complete picture of system and process quality and improve the efficiency of system monitoring and management.

The following disclosure provides many different embodiments or illustrations for implementing various features of the present invention. Particular illustrations of components and arrangements are used in the following discussion to simplify the present disclosure. Any examples discussed are for illustrative purposes only and do not in any way limit the scope and significance of the invention or its examples. In addition, this disclosure may repeatedly refer to numerical symbols and/or letters in different examples. These repetitions are for simplicity and explanation, and do not themselves specify the relationship between different embodiments and/or configurations in the following discussion.

Unless otherwise noted, the terms used throughout the specification and patent claims generally have their ordinary meanings as used in the field, in the disclosure and in the particular content. Certain terms used to describe the present disclosure are discussed below or elsewhere in this specification to provide those skilled in the art with additional guidance in describing the present disclosure.

As used in this article, "coupling" or "connection" can refer to two or more elements that are in direct physical or electrical contact with each other, or that are in indirect physical or electrical contact with each other, and "coupled" or "connected" "Connection" can also refer to the mutual operation or action of two or more components.

It will be understood that the terms first, second, third, etc. are used herein to describe various elements, components, regions, layers and/or blocks. However, these elements, components, regions, layers and/or blocks should not be limited by these terms. These terms are limited to identifying a single element, component, region, layer and/or block. Therefore, a first element, component, region, layer and/or block below can also be termed as a second element, component, region, layer and/or block without departing from the original intention of the present invention. As used herein, the term "and/or" includes any combination of one or more of the associated listed items. The "and/or" mentioned in this document refers to any one, all or any combination of at least one of the listed elements.

Traditionally, when many types of business processes are executed by process robots deployed on virtual machines, if managers want to understand the operation of each process robot's virtual machine, they must log in to the virtual machines one by one to check, which is quite inefficient. Therefore, this project creates an analysis dashboard, which displays each process robot virtual machine in the form of an image matching list according to the filtering conditions of the process robot virtual machine manager, or displays real-time execution information and execution between different process robot virtual machines at the same time. Overview and execution quality as well as historical operation information are provided for managers of process robot virtual machines to make judgments and comparisons to quickly obtain a complete picture of system and process quality and improve the efficiency of system monitoring and management.

Figure 1 shows a block diagram of a process robot virtual machine management system according to a preferred embodiment of the present invention. The process robot virtual machine management system 100 includes a plurality of process robot virtual machines 200 and a management host 300, which are coupled through a wired or wireless network. In a preferred embodiment, the management host 300 is used in a server of a financial institution, and the process robot virtual machine 200 is built by the management host 300 in one or more computer servers of the financial institution. To execute the daily fixed logic and repetitive business process of this financial institution, and correspondingly generate the execution work record of this business process. The management host 300 is electrically connected to the process robot virtual machine 200 to receive and store work records of the process robot virtual machine 200 executing services, and provides the working status of the corresponding process robot virtual machine 200 in the form of an image matching list through an analysis dashboard. . In a preferred embodiment, the work record of executing the business includes the name of the process robot virtual machine that executes the business, the department of the business, the name of the business, the start and end date of the business execution, etc., but this case is not limited to this.

Figure 2 shows a block diagram of a host managed according to a preferred embodiment of the present invention. The management host 300 includes a display interface 310, a processor 320, a memory 330 and an input device 340. The display interface 310, the processor 320, the memory 330 and the input device 340 are electrically connected to each other through a bus. In a preferred embodiment, the management host 300 is used in a server of a financial institution to provide the administrator of the process robot virtual machine with input filtering conditions through the input device 340 of the management host 300 to display the results on the display interface 310 On the displayed analysis dashboard, according to this filtering condition, the work records of the process robot virtual machine 200 performing business are selected according to this filtering condition, and each process robot virtual machine 200 is displayed in the form of an image matching list, or displayed simultaneously. The real-time execution information, execution overview or execution quality between different process robot virtual machines 200 can be used for judgment and comparison by managers of the process robot virtual machines.

In some embodiments, the display interface 310 of the management host 300 may be a liquid crystal display module, a light emitting diode display module, or other similar flat display modules. In a preferred embodiment, the display interface 310 is used to display an analysis dashboard, which is used to select records that meet the filtering conditions from the work records of the process robot virtual machine 200 executing the business according to the filtering conditions input by the administrator. The queried working status of the process robot virtual machine 200 is displayed in the form of an image matching list.

In some embodiments, the input device 340 of the management host 300 is used to provide the administrator with input of at least one filtering condition to query the working status of the process robot virtual machine 200 . In some embodiments, the input device 340 may be a keyboard, a mouse, or a touch module. In a preferred embodiment, if the input device 340 is a touch module, the input device 340 and the display interface 310 can be further integrated into a touch display panel.

In some embodiments, the memory 330 of the management host 300 stores work records of services performed by the process robot virtual machine 200 . In a preferred embodiment, the memory 330 is any storage device that can be used to store data, such as, but not limited to, random access memory (RAM), read only memory; ROM), flash memory, hard disk or other storage device that can be used to store data.

In some embodiments, the processor 320 of the management host 300 is electrically connected to the display interface 310, the memory 330 and the input device 340 through a bus. The processor 320 provides an analysis dashboard through the display interface 310 to display the queried working status of the process robot virtual machine 200 through the analysis dashboard in the form of image matching list according to the filtering conditions input by the administrator through the input device 340 display.

Figure 3 shows a schematic diagram of the analysis page of the real-time information of the robot virtual machine according to a preferred embodiment of the present case. In a preferred embodiment, the analysis dashboard 500 may provide a plurality of selection blocks 510, 520, and 530, and these selection blocks 510, 520, and 530 are correspondingly linked to different analysis pages. Different analysis pages display different work information of the process robot virtual machine 200 respectively. In a preferred embodiment, the selection block 510 corresponds to the process robot virtual machine real-time information analysis page. Select block 520 to correspond to the process robot virtual machine execution overview analysis page. Select block 530 to correspond to the process robot virtual machine execution quality analysis page. In a preferred embodiment, the administrator can input a filter condition through the input device 340 to select one of the selection blocks 510, 520 and 530 on the analysis dashboard 500 to connect to the corresponding analysis page.

As shown in FIG. 3 , the administrator inputs a filter condition through the input device 340 to select the selection block 510 on the analysis dashboard 500 to connect to the process robot virtual machine real-time information analysis page 511 . In a preferred embodiment, the process robot virtual machine real-time information analysis page 511 displays a real-time execution status distribution diagram, which is used to display the process robot virtual machines 200 built by the management host 300 in order to provide the administrator with real-time query During the period (24 hours), each process robot virtual machine 200 has a business process being executed. In a preferred embodiment, the Y-axis is used to represent the name of the process robot virtual machine, and the X-axis is used to represent real-time time. In a preferred embodiment, the real-time execution status distribution chart displays whether the corresponding process robot virtual machine is running the business process through horizontal bar charts 512, 513, 514 and 515, where each bar chart 512, 513, 514 and The starting point of 515 represents the starting time when the process robot virtual machine starts executing a business process, and the end points of the bar charts 512, 513, 514 and 515 represent the current time. If there is no bar chart, it means that the corresponding process robot virtual machines, such as process robot virtual machines RPA1P, RPA5P, RPA5P and RPA8P, are not currently executing any business processes. Accordingly, the processor 320 in this case can further perform a dynamic adjustment function. In a preferred embodiment, if one of the process robot virtual machines is not currently executing any business process, the processor 320 will control the display interface 310 to perform the analysis. The process robot virtual machines that have not executed the business process are highlighted in different colors on the dashboard, and when a new business process occurs, the business process is automatically assigned to the process robot virtual machine for execution. In another preferred embodiment, if multiple process robot virtual machines do not execute any business processes at the same time, the processor 320 can dynamically allocate execution processes based on the accumulated execution time of each process robot virtual machine RPA1P-RPA8P. In another preferred embodiment, taking the bar chart 512 as an example, it indicates that the process robot virtual machine RPA2P started executing a business process at 18:50 and continued to execute it until 21:00 now. Therefore, the length of the bar graphs 512, 513, 514 and 515 can indicate how long the corresponding process robot virtual machine has been executed. In a preferred embodiment, this case further provides click bar charts 512, 513, 514 and 515. If the bar chart 515 is clicked, a detailed information table 516 of the business process will be displayed in a floating manner. The detailed information table 516 Provide information including but not limited to the following information: the business process execution department, the name of the user who started the business process, the name of the business process, the time when the business process was started, and the start time when each process robot virtual machine actually started running the business process.

Figure 4A shows a schematic diagram of the execution overview analysis page of the process robot virtual machine according to a preferred embodiment of the present case. In a preferred embodiment, the administrator inputs a filter condition through the input device 340 to select the selection block 520 on the profiling dashboard 500 to connect to the process robot virtual machine execution overview profiling page. In a preferred embodiment, if you need to further understand the detailed execution records of each process robot virtual machine, you can select filter conditions in the filter condition block 522, including but not limited to the process robot virtual machine name, process department, process Name, start and end time, to further query the historical running status of the process robot virtual machine, which business processes are executed and the execution time. Taking Figure 4A as an example, the Y-axis is used to represent the name of the process robot virtual machine, and the X-axis is used to represent time. In a preferred embodiment, the query process robot virtual machine RPA1P is from 2022/07/01 to 2022/07 /09's detailed execution record track, the process robot virtual machine execution overview analysis page 521 will display multiple bar charts, indicating the business executed from 2022/07/01 to 2022/07/09, and the corresponding execution time. The starting point of the bar chart is the start time of the business process, and the end point of the bar chart is the end time of the business process. In a preferred embodiment, this case also provides a click bar chart, which will float and display a detailed information table 523 of the executed business process. The detailed information table 523 provides information including but not limited to the following information: business process execution department, startup business The name of the user of the process, the name of the business process, the time when the business process was started, the start time when the process robot virtual machine actually started running, the end time of the business process, and the end time when the process robot virtual machine actually ended running.

Figure 4B shows a schematic diagram of a process robot virtual machine execution overview analysis page according to another preferred embodiment of this case. In addition to displaying it through a horizontal bar chart, you can also display the business processes completed by each process robot virtual machine through a vertical bar chart as shown in Figure 4B. The X-axis is used to represent the name of the process robot virtual machine. , the Y-axis is used to represent the cumulative execution time, that is, the cumulative execution time of each process robot virtual machine RPA1P-RPA8P, and the detailed information of the process business executed by each process robot virtual machine RPA1P-RPA8P is displayed in the information table 527. Accordingly, the execution process can be dynamically allocated based on the accumulated execution time of each process robot virtual machine RPA1P-RPA8P. In a preferred embodiment, according to the cumulative execution time of each process robot virtual machine RPA1P-RPA8P, business processes generated in the future can be prioritized for execution by the process robot with the smallest cumulative execution time to make full use of each process robot virtual machine. In another preferred embodiment, if multiple process robot virtual machines do not execute any business processes at the same time, the processor 320 can dynamically allocate execution processes based on the accumulated execution time of each process robot virtual machine RPA1P-RPA8P. In a preferred embodiment, the generated business processes can be sorted according to the cumulative execution time of each process robot virtual machine RPA1P-RPA8P, and the generated business process can be assigned to the process with the smallest cumulative execution time among the process robot virtual machines that have not executed any business processes. The robot virtual machine executes to fully utilize the robot virtual machine for each process. In another preferred embodiment, Figure 4B shows the total execution time 524 and the average daily execution time 525 of the services executed by each process robot virtual machine RPA1P-RPA8P from 2022/07/01 to 2022/07/09. , average execution time of 526 and other detailed information can be used as a reference for managers to determine whether the resources of each process robot virtual machine are effectively used, and then plan various business processes and allocate process robot virtual machine resources.

In addition to providing the ability to query the length of a specific execution period of each process robot virtual machine, this case also provides images of the execution quality of the process robot virtual machines for administrators to monitor. Figure 5A shows a schematic diagram of a process robot virtual machine execution quality analysis page according to a preferred embodiment of the present invention. In a preferred embodiment, the administrator inputs a filter condition through the input device 340 to select the selection block 530 on the analysis dashboard 500 to connect to the process robot virtual machine execution quality analysis page. In a preferred embodiment, if you need to further understand the detailed execution records of each process robot virtual machine, you can select filter conditions in the filter condition block 522, including but not limited to the process robot virtual machine name, process department, process Name, start and end time, to further query the execution process success rate of the process robot virtual machine, where the X-axis is used to represent the name of the process robot virtual machine, and the Y-axis is used to represent the execution process success rate. Taking Figure 5A as an example, it is used to query the execution process success rate of all process robot virtual machines RPA1P-RPA8P from 2022/07/01 to 2022/07/09. The process robot virtual machine execution quality analysis page 531 will display multiple The bar chart and the vertical bar chart will be sorted from high to low based on the execution success rate of the historical business processes that have been executed by each process robot virtual machine RPA1P-RPA8P. In a preferred embodiment, the successful execution of the business process of the process robot virtual machine means that the business process has been completely executed and has not been interrupted. If a certain step in the process is removed or an error occurs due to other pages being considered, the business process is executed. If interrupted, this business process will fail to execute. In a preferred embodiment, the process robot virtual machine RPA2P has the highest execution success rate, so the bar chart corresponding to the process robot virtual machine RPA2P is ranked first, and the bar chart shows that its corresponding success rate is 95%. The process robot virtual machine RPA8P has the lowest execution success rate, so the bar chart corresponding to the process robot virtual machine RPA8P will be ranked last. The bar chart shows that its corresponding success rate is 46%. Accordingly, the administrator can determine through Figure 5A which process robot virtual machine has the lowest success rate. In this embodiment, it is the process robot virtual machine. The administrator can immediately perform debugging and system environment detection on this process robot virtual machine. .

In another preferred embodiment, success rate analysis can also be performed on a specific process robot virtual machine. Figure 5B shows a schematic diagram of an execution quality analysis page for a specific process robot virtual machine according to a preferred embodiment of the present invention. In Figure 5B, it is used to query the corresponding success rates of different business processes executed by a specific process robot virtual machine RPA1P from 2022/07/01 to 2022/07/09. The X-axis is used to indicate the success of the executed business processes. rate, the Y-axis is used to represent the name of the business process executed by this specific process robot virtual machine. This can be used to determine which business process executed by the specific process robot virtual machine has the lowest success rate, and then continue to debug and debug this business process. System environment detection. In a preferred embodiment, in Figure 5B, the process robot virtual machine RPA1P executed H_1058_Derivative Financial Product Recommendation Personnel Management_02 Second Phase 3 from 2022/07/01 to 2022/07/09 Business process 532 has the lowest success rate, only 30%, so managers can check this business process 532, H_1058_Derivative Financial Product Promotion Personnel Management_02 Second Phase 3.

Figure 6 shows a block diagram of a process robot virtual machine management method according to a preferred embodiment of the present case. This process robot virtual machine management method is used on the process robot virtual machine management system shown in Figure 1. Among them, multiple process robot virtual machines of the process robot virtual machine management system execute corresponding business processes and generate a corresponding work record. Please refer to Figure 1 and Figure 6 at the same time. First, in step 601, the filtering conditions of a process robot virtual machine are received. In a preferred embodiment, the administrator can input filtering conditions through the input device 340 of the management host 300. After receiving the filtering conditions, the management host 300 displays an analysis dashboard in step 602 for analyzing data based on the input filtering conditions. Extract records that meet the filter conditions from the work records of the process robot virtual machine, and display a real-time information analysis page, an execution overview analysis page, or an execution quality analysis page of the process robot on the analysis dashboard in the form of an image matching list. The page displays the one-to-one analysis page of the process robot virtual machine.

It can be seen from the above implementation method of this case that this case creates an analysis dashboard, which displays each process robot virtual machine in the form of an image matching list according to the filtering conditions of the process robot virtual machine manager, or displays the data between different process robot virtual machines at the same time. The real-time execution information, execution overview and execution quality, as well as historical operation information, can be used by managers of process robot virtual machines to make judgments and comparisons, so as to quickly obtain a complete picture of the system and process quality, and improve the efficiency of system monitoring and management.

In addition, the above illustrations include sequential exemplary steps, but the steps need not be performed in the order shown. It is within the scope of this disclosure to perform these steps in a different order. These steps may be added, substituted, changed in order and/or omitted as appropriate within the spirit and scope of the embodiments of the present disclosure.

Although the implementation of this case has been disclosed as above, it is not used to limit this case. Anyone familiar with this technology can make various changes and modifications without departing from the spirit and scope of this case. Therefore, the scope of protection of this case should be considered later. The scope of the attached patent application shall prevail.

100: Process robot virtual machine management system

200: Process robot virtual machine

300: Management host

310: Display interface

320: Processor

330:Memory

340:Input device

500: Profiling Dashboard

510, 520 and 530: Select block

511: Real-time information analysis page

512, 513, 514 and 515: Bar chart

516: Detailed information table

521:Execution overview analysis page

522: Filter condition block

523: Detailed information table

524:Total execution time

525: Average daily execution time

526:Average execution time per execution

527:Information table

531: Execute quality analysis page

532:Business process

601-602: Steps

RPA1P-RPA8P: process robot virtual machine

The accompanying drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present invention, and together with the description, are used to explain the technical solutions of the embodiments of the present invention. Figure 1 shows a block diagram of a process robot virtual machine management system according to a preferred embodiment of the present case. Figure 2 shows a block diagram of a host managed according to a preferred embodiment of the present invention. Figure 3 shows a schematic diagram of the analysis page of the real-time information of the robot virtual machine according to a preferred embodiment of the present case. Figure 4A shows a schematic diagram of the execution overview analysis page of the process robot virtual machine according to a preferred embodiment of the present case. Figure 4B shows a schematic diagram of the execution overview analysis page of the process robot virtual machine according to another preferred embodiment of this case. Figure 5A shows a schematic diagram of a process robot virtual machine execution quality analysis page according to a preferred embodiment of the present invention. Figure 5B shows a schematic diagram of the execution quality analysis page of a robot virtual machine for a specific process according to a preferred embodiment of the present invention. Figure 6 shows a block diagram of a process robot virtual machine management method according to a preferred embodiment of the present case.

100: Process robot virtual machine management system

200: Process robot virtual machine

300: Management host

Claims (10)

A process robot virtual machine management system includes: a plurality of process robot virtual machines, wherein each of the plurality of process robot virtual machines is used to execute a business process and generate a corresponding work record; and a management host, through a The network is coupled to the plurality of process robot virtual machines, wherein the management host is used to display an analysis dashboard. The management host retrieves records that meet the filter condition from the work records according to a filter condition, and matches the list with images. In this way, a real-time information analysis page, an execution overview analysis page or an execution quality analysis page of the plurality of process robots are displayed on the analysis dashboard based on the record, wherein the management host further displays the real-time information analysis page based on the real-time information analysis page. An execution information of a plurality of process robot virtual machines dynamically allocates a new business process to a process robot virtual machine among the plurality of process robot virtual machines that has not executed the business process. The process robot virtual machine management system as described in request item 1, wherein the work record at least includes: the name of the process robot virtual machine that executes the business process, the department of the business process, the name of the business process, and the start and end of the execution of the business process. day. Process robot virtual machine management as described in request 1 management system, wherein the analysis dashboard further includes a plurality of selection blocks, and the plurality of selection blocks are respectively linked to the real-time information analysis page, the execution overview analysis page and the execution quality analysis page. The process robot virtual machine management system as described in claim 1, wherein the execution information further includes a plurality of horizontal bar graphs representing that the process robot virtual machine that is executing the business process among the plurality of process robot virtual machines has executed a corresponding business. Process time. The process robot virtual machine management system as described in claim 4, wherein each of the plurality of horizontal bar charts further provides a floating display page for displaying the department of the corresponding business process and a use for initiating the corresponding business process. The name of the user, the name of the corresponding business process, the time when the corresponding business process was started, and the time when the process robot virtual machine started running the corresponding business process. The process robot virtual machine management system as described in claim 1, wherein the execution overview analysis page further includes a plurality of horizontal bar charts to represent the different processes that have been executed by each of the plurality of process robot virtual machines in a time interval. Business process, the length of each of the plurality of horizontal bar charts represents the execution time of a corresponding business process. The process robot virtual machine management system as described in claim 1, wherein the execution overview analysis page further includes a plurality of vertical bars Figure, wherein the plurality of vertical bar graphs are used to respectively represent the cumulative execution time of the plurality of process robot virtual machines in a time interval. The process robot virtual machine management system as described in claim 7, wherein when the plurality of process robot virtual machines include at least two process robot virtual machines and do not execute the business process, the management host further controls the process according to the at least two process robot virtual machines. The cumulative execution time is used to dynamically allocate a new business process to one of the at least two process robot virtual machines with a smaller cumulative execution time. The process robot virtual machine management system as described in claim 1, wherein the execution quality analysis page further includes a plurality of vertical bar charts, wherein the plurality of vertical bar charts are used to represent the processes of the plurality of process robot virtual machines. The cumulative execution success rate within a time interval. The process robot virtual machine management system of claim 1, wherein the management host further includes an input device for receiving the filtering condition.

Images