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Automatic operation station management method based on cloudization

A management method and work station technology, which are applied in the field of cloud-based automated work station management, can solve problems such as single point failure of work station clusters, increase the operating load of dispatching stations, increase operation and maintenance costs and operating costs, and reduce hardware. The burden of resource occupation, the effect of reducing network overhead costs, and simplifying the processing flow

Pending Publication Date: 2022-01-28
SICHUAN ZHONGDIAN AOSTAR INFORMATION TECHNOLOGIES CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method of starting fixed workstations increases the demand for hardware resources on the cloud platform, and increases O&M and operating costs; at the same time, too many workstations are connected to the dispatch center, which will increase the operating load of the dispatch station; too many workstations contend for Grabbing tasks will increase the average response time of tasks; the hardware configuration of different workstations is inconsistent, which will lead to unreasonable task allocation and unsatisfactory running results.
[0004] The traditional fixed operation mode usually requires the workstation to have a fixed operating configuration, which needs to be prepared before the system is running. During the operation of the system, the workstation cluster will have a single point of failure, and the problematic workstation cannot be reset and recovered, resulting in all Occupying hardware and network resources cannot be released

Method used

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  • Automatic operation station management method based on cloudization
  • Automatic operation station management method based on cloudization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] A cloud-based automated workstation management method, such as figure 2 shown, including the following steps:

[0038] Step S100: After the dispatching station is started, obtain the list of executable tasks, and calculate the list of tasks to be executed in the next cycle according to the cron expression of the executable tasks;

[0039] Step S200: Obtain the available computing resources TNS and the number of virtual machines MPC of the cloud platform, and the cloud platform provides resources to the dispatching center and initializes the basic operation station;

[0040] Step S300: Count the total running time of the task list to be executed by running historical data. If the total running time is less than half an hour, use the basic operating station to run the task; otherwise, go to step S400;

[0041] Step S400: Analyze the RPA package in each task in the task list to be executed, analyze the RPA package and obtain the RPA action list, and calculate the hardwar...

Embodiment 2

[0050] This embodiment is optimized on the basis of Embodiment 1. In the step S600, the operating station parses out the RPA program package after obtaining the task, and executes the RPA program. During the execution process, the hardware resource occupation of each RPA action is recorded And send it to the control center in real time.

[0051] Further, in the step S600, after the task execution is completed in one cycle, the collected RPA action hardware resource occupancy conditions are summarized and averaged according to different actions, and updated to the corresponding RPA action resource occupancy list In the corresponding hardware requirement parameters.

[0052] Other parts of this embodiment are the same as those of Embodiment 1, so details are not repeated here.

Embodiment 3

[0054] This embodiment is optimized on the basis of Embodiment 1 or 2. In the step S400, analyze the RPA program package of each task in the task list to be executed and extract the RPA action set, according to the RPA action in the RPA action set in the RPA Find the resource occupancy of the corresponding action in the action resource occupation list, calculate the sum of the total CPU resources and memory resources occupied by the RPA action set, and then divide it by the total number of RPA action sets to obtain the average RPA program hardware resource occupancy, which is the task hardware Resource usage.

[0055] Further, in the step S500, the calculation process is as follows:

[0056] Assuming task A requires AN virtual machines, the hardware resource occupation calculated according to step S400 is AP, and the number of tasks calculated according to step S100 is ATC; assuming task B requires BN virtual machines, the hardware resource occupation calculated according to s...

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PUM

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Abstract

The invention discloses an automatic operation station management method based on cloudization. A to-be-executed task list of a next cycle is calculated according to a cron expression of an executable task; the total running time of the to-be-executed task list is counted through running historical data, if the total running time is smaller than half an hour, the basic operation station is used for running tasks, otherwise, an RPA program package in each task in the to-be-executed task list is analyzed, the RPA program package is analyzed, an RPA action list is obtained, and the hardware resource occupation condition of the tasks is calculated; a virtual machine demand list is generated according to the number of tasks in the to-be-executed task list and the hardware resource occupation conditions of the tasks, and if the basic operation station meets the generated virtual machine demand list, the tasks are allocated to the basic operation station to be executed; otherwise, the cloud platform generates the corresponding virtual machine according to the virtual machine demand list. The burden of server hardware resource occupation is reduced, so that the cost is effectively saved, and the utilization rate of the system is improved.

Description

technical field [0001] The invention belongs to the technical field of automatic operation station management, and in particular relates to a cloud-based automatic operation station management method. Background technique [0002] With the development of Industry 3.0 for nearly 40 years, a large number of information systems have emerged, which have improved human work efficiency and quality of life. In the meantime, robotic process automation has been widely used. In order to ensure the timeliness of task processing at workstations, sufficient workstations must be provided. Since the number of tasks to be processed is not fixed, most of the operating stations are idle most of the time, and these idle resources are not properly utilized. [0003] The working mode of the existing workstation is fixed. The workstation starts with the dispatch center and sends a heartbeat to the dispatch center every few seconds to ensure that the dispatch center updates the status of the work...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06F9/48G06F9/455
CPCG06F9/5044G06F9/4881G06F9/45558G06F2009/4557
Inventor 杨文杰倪平波张捷胡州明宋卫平李玉朱海萍郝建维杨帆
Owner SICHUAN ZHONGDIAN AOSTAR INFORMATION TECHNOLOGIES CO LTD