Robot process automatic generation method and system based on large model

Abstract

The invention provides a robot process automation generation method and system based on a large model, and belongs to the technical field of large models, and the method specifically comprises the steps: determining whether the switching influence degree of an existing process automation robot is difficult to meet the requirement according to the overlapping data of different alternative robots influencing a monitoring port; based on influence robots of different monitoring ports and composition data of the influence monitoring ports of the influence robots, alternative switching ports in the monitoring ports are determined, the composition data of the alternative switching ports to be monitored are acquired, and the overlapping data of the influence robots between the alternative switching ports and other alternative switching ports are combined, so that the alternative switching ports of the alternative switching ports to be monitored are obtained. According to the method and the device, the abnormal response strategies of reading time delay of different alternative switching ports are determined, and the process automation robot is generated by using the large model on the basis of the abnormal response strategies and the monitoring port to be monitored, so that the efficiency of generation processing is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of large models, and particularly relates to a method and system for generating robot process automation based on a large model. Background Art

[0002] Once an advertisement is released, it is necessary to monitor the operation of the advertisement, specifically including browsing data, conversion data, exposure data, etc. In the existing technical solutions, the operation of the advertisement is often monitored and processed through an API port. This makes it an urgent technical problem to realize the monitoring and analysis of different API interfaces using a process automation robot.

[0003] Existing process automation robots for advertisement monitoring and processing often monitor different API ports through artificially set rules. However, as the number of API ports for monitoring and management increases, and at the same time, the advertisement types and delivery platforms change, it is difficult for the original fixed process automation robot to meet the requirements of data monitoring and processing. Therefore, how to use a large model to automate the generation and update of process automation robots to meet the requirements of monitoring and processing has become an urgent technical problem.

[0004] Therefore, to solve the above technical problems, the present application provides a method and system for generating robot process automation based on a large model. Summary of the Invention

[0005] To achieve the object of the present invention, the present invention adopts the following technical solutions: To achieve the above object of the invention, a method for generating robot process automation based on a large model provided by the present application includes the following: S1 Based on the data types of the monitoring ports, determine the alternative robots of the existing process automation robots. According to the number of alternative robots for different monitoring ports and the port monitoring data of different alternative robots, determine the influencing robots for the monitoring ports; S2 Obtain the monitoring ports to which different alternative robots belong and are influencing robots, and use them as influencing monitoring ports. When it is determined that the degree of influence on the switching of the existing process automation robot is difficult to meet the requirements based on the overlapping data of the influencing monitoring ports of different alternative robots, proceed to the next step; S3 Based on the influencing robots for different monitoring ports and the composition data of the influencing monitoring ports of the influencing robots, determine the alternative switching ports in the monitoring ports; S4 obtains the composition data of the alternative switching ports to be monitored and processed, combines the overlapping data that affects the robot with other alternative switching ports, determines the abnormal response strategies with reading delays for different alternative switching ports, and based on the abnormal response strategies and the monitoring ports to be monitored and processed, uses a large model to perform the generation process of the process automation robot.

[0006] A further technical solution lies in that the alternative robot is an existing process automation robot capable of reading the data types of the data of the monitoring ports.

[0007] A further technical solution lies in that the method for determining the robot affected by the monitoring port is as follows: Based on the port monitoring data of the alternative robots of the monitoring port, determine the number of ports monitored by the alternative robots of the monitoring port; According to the number of ports monitored by the alternative robots and the number of alternative robots, determine whether the alternative robots are robots that have an impact.

[0008] It should be noted that the robots that have an impact are alternative robots with a large number of monitored ports and a small number of alternative robots. Among them, it can be determined by means of thresholds whether the number of monitored ports is large and whether the number of alternative robots is small.

[0009] A further technical solution lies in that the generation process of the process automation robot specifically includes: Take the abnormal response strategies of different monitoring ports and the monitoring ports to be monitored and processed as input quantities and input them into the large model; Use the large model to perform the generation process of the process automation robot.

[0010] In a possible embodiment, the large model is constructed by Deepseek-R2.

[0011] In a second aspect, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor. When the processor runs the computer program, it executes the above-mentioned method for generating robot process automation based on a large model.

[0012] The beneficial effects of the present invention are as follows: Based on the composition data of the alternative switching ports to be monitored and processed, and the overlapping data that affects the robot among other alternative switching ports, determine the abnormal response strategies with reading delays for different alternative switching ports. Not only consider the differences in the impact on existing process automation robots caused by the number of alternative switching ports, but also consider the differences in the impact on existing process automation robots caused by the overlapping situation. Realize the determination of abnormal response strategies based on a relatively low impact on existing process automation robots, that is, ensure the reliability of reading processing, and at the same time further reduce the impact on other existing process automation robots.

[0013] Based on the abnormal response strategy and the monitoring ports to be monitored and processed, use the large model to perform the generation processing of process automation robots, further improving the generation processing efficiency of process automation robots. And through the setting of differentiated abnormal response strategies, reduce the complexity of the abnormal response strategies of process automation robots, ensuring the reliable operation of process automation robots.

[0014] Other features and advantages will be described in the subsequent specification. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification and the accompanying drawings.

[0015] To make the above objectives, features, and advantages of the present invention more obvious and understandable, the following specifically gives preferred embodiments and, in conjunction with the accompanying drawings, makes a detailed description as follows. Brief Description of the Drawings

[0016] By referring to the accompanying drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious.

[0017] Figure 1 is a flowchart of a method for generating robot process automation based on a large model; Figure 2 is a flowchart of a method for determining the impact of monitoring ports on robots; Figure 3 is a flowchart for determining that the switching impact on existing process automation robots is difficult to meet the requirements; Figure 4 is a flowchart of a method for determining alternative switching ports in monitoring ports; Figure 5 is a framework diagram of a computer system. Detailed Embodiments

[0018] To enable those skilled in the art to better understand the technical solutions in this specification, the following will clearly and completely describe the technical solutions in the embodiments of this specification in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this specification.

[0019] Alternative robots that affect the number of ports monitored by the robot being greater than the preset number threshold and the number of alternative robots being within 10.

[0020] When the number of influencing robots that do not overlap with the influencing monitoring ports of other influencing robots is more than 5, it is determined that the impact degree on the switching of the existing process automation robot is difficult to meet the requirements.

[0021] The alternative switching ports are monitoring ports where the number of influencing robots is within 10 and the number of influencing monitoring ports of different influencing robots is within 5.

[0022] When the number of alternative switching ports is small, that is, less than the preset threshold for the number of alternative switching ports, the first strategy is adopted for each different alternative switching port to determine the abnormal response strategy.

[0023] When the number of alternative switching ports is large, that is, not less than the preset threshold for the number of alternative switching ports, the second strategy is adopted to determine the abnormal response strategy for the existing read delay of the alternative switching ports.

[0024] Embodiment 1 Specifically, as Figure 1 shown, a method for generating robot process automation based on a large model includes the following: S1 Based on the data type of the monitoring port, determine the alternative robots of the existing process automation robot, and determine the influencing robots of the monitoring port according to the number of alternative robots of different monitoring ports and the port monitoring data of different alternative robots. Furthermore, the alternative robots are existing process automation robots that can read the data of the data type of the monitoring port.

[0025] Specifically, as Figure 2 shown, the method for determining the influencing robots of the monitoring port is as follows: Based on the port monitoring data of the alternative robots of the monitoring port, determine the number of ports monitored by the alternative robots of the monitoring port. Determine whether the alternative robot is an influencing robot according to the number of monitored ports of the alternative robot and the number of alternative robots.

[0026] It should be noted that an influencing robot is an alternative robot with a large number of monitored ports and a small number of alternative robots. Among them, to determine whether the number of monitored ports is large and whether the number of alternative robots is small, it can be determined by means of a threshold.

[0027] In one of the embodiments, the method for determining the influencing robot of the monitoring port is as follows: Regard the monitored ports of the alternative robots within a preset number range as potential influencing ports; Based on the port monitoring data of the alternative robots of the potential influencing ports, determine the number of monitored ports of the alternative robots of the potential influencing ports; Determine whether the alternative robot is an influencing robot according to the number of monitored ports of the alternative robot.

[0028] It can be understood that the potential influencing ports are the monitored ports with a small number of alternative robots, and are specifically determined by a preset number range.

[0029] In addition, it should be noted that when the number of monitored ports of the alternative robot is large, specifically when it is greater than a certain threshold, it is determined that the alternative robot of the monitored port belongs to an influencing robot.

[0030] S2 Obtain the monitored ports of different alternative robots that are influencing robots, and regard them as influencing monitoring ports. When it is determined that the switching influence degree on the existing process automation robot is difficult to meet the requirements based on the coincidence data of the influencing monitoring ports of different alternative robots, proceed to the next step; It can be understood that as Figure 3 shown, determining that the switching influence degree on the existing process automation robot is difficult to meet the requirements specifically includes: Based on the coincidence data of the influencing monitoring ports of different alternative robots, determine the influencing monitoring ports with a coincidence number less than the preset coincidence number with other alternative robots, and regard them as independent influencing ports; According to the number of independent influencing ports, determine the switching influencing robots among the alternative robots; It can be understood that the switching influencing robot is an alternative robot with a large number of independent influencing ports. Specifically, an alternative robot with the number of independent influencing ports greater than the threshold can be regarded as a switching influencing robot.

[0031] According to the number of switching influencing robots, determine whether the switching influence degree on the existing process automation robot is difficult to meet the requirements.

[0032] Specifically, when the number of robots affected by the switch is large, if the number of robots affected by the switch is greater than the threshold, at this time, since the overlap degree between the impact monitoring ports and other alternative robots is low, the impact on the robots is high. If the number of robots affected by the switch is large, at this time, the impact on the existing process automation robots during the switch is high.

[0033] In another possible embodiment, it is determined that the impact degree on the existing process automation robots during the switch is difficult to meet the requirements, specifically including: Determine the number of impact monitoring ports of different alternative robots based on the overlap data of the impact monitoring ports of different alternative robots; Regard the alternative robots with the number of impact monitoring ports greater than the preset port number as the screening impact robots; Determine whether the impact degree on the existing process automation robots during the switch is difficult to meet the requirements according to the number of screening impact robots.

[0034] Specifically, when the number of screening impact robots does not meet the requirements, that is, when it is greater than the preset quantity threshold, it is determined that the impact degree on the existing process automation robots during the switch is difficult to meet the requirements.

[0035] It can be understood that when the impact degree on the existing process automation robots during the switch meets the requirements, the abnormal response strategy with a read delay for all monitoring ports is set to automatically switch to the alternative robot when it exceeds the preset duration.

[0036] In another possible embodiment, it is determined that the impact degree on the existing process automation robots during the switch is difficult to meet the requirements, specifically including: S21 Determine the impact monitoring ports with the overlap quantity less than the preset overlap quantity with other alternative robots based on the overlap data of the impact monitoring ports of different alternative robots, and regard them as independent impact ports. Determine the switching impact robots among the alternative robots according to the number of independent impact ports; In one of the embodiments, before proceeding to the next step, it is necessary to determine whether the number of alternative robots with the number of impact monitoring ports not meeting the requirements meets the requirements, whether the number of switching impact robots meets the requirements, and whether the sum of the numbers of independent impact ports of different switching impact robots meets the requirements. Specifically, it can be determined whether the requirements are met by means of thresholds.

[0037] Specifically, if the number of alternative robots affecting the monitoring ports is excessive, or when the number of robots with excessive switching impact is switched, or when the sum of the numbers of independent impact ports of different switching impact robots is excessive, the degree of switching impact on the existing process automation robots is relatively high at this time. Therefore, it is difficult to meet the requirements for the degree of switching impact on the existing process automation robots.

[0038] In addition, it should be noted that only when all the above conditions are met, it is also necessary to determine the number of monitoring ports of different switching impact robots to determine the degree of switching impact on the existing process automation robots.

[0039] S22 Obtain the number of monitoring ports of different switching impact robots, and use the number of monitoring ports of different switching impact robots as the port impact quantity; In one of the embodiments, the following factors need to be considered in the above steps: If the port impact quantities of different switching impact robots are all small, specifically, it can be determined by means of an impact quantity range. On this basis, when the number of switching impact robots is small, the degree of switching impact on the existing process automation robots meets the requirements at this time; In addition, if there are switching impact robots with non-small port impact quantities, then determine the number of switching impact robots with non-small port impact quantities. When the number of switching impact robots with non-small port impact quantities is large, specifically, when the number of switching impact robots is within the robot quantity range, the degree of switching impact on the existing process automation robots is difficult to meet the requirements at this time.

[0040] It should be noted that even when the number of switching impact robots with non-small port impact quantities is not large, it is still necessary to determine whether the sum of the port impact quantities of the switching impact robots meets the requirements. Specifically, if the quantity is large within a certain range, it is determined that the sum of the port impact quantities of the switching impact robots does not meet the requirements, and the degree of switching impact on the existing process automation robots is difficult to meet the requirements at this time.

[0041] S23 Determine whether the degree of switching impact on the existing process automation robots is difficult to meet the requirements according to the port impact quantities of different switching impact robots and the number of independent ports.

[0042] In one possible embodiment, the impact factor of different switching impact robots can be determined by multiplying the average value of the port impact quantity and the number of independent ports of different switching impact robots by a preset proportional factor. When the sum of the impact factors of different switching impact robots is greater than the preset impact factor, it is determined that the degree of switching impact on the existing process automation robots is difficult to meet the requirements.

[0043] S3 determines the alternative switching ports in the monitoring ports based on the influencing robots of different monitoring ports and the composition data of the influencing monitoring ports that influence the robots. Specifically, as Figure 4 shown, the method for determining the alternative switching ports in the monitoring ports is as follows: Based on the influencing robots of the monitoring ports, determine the number of influencing robots of the monitoring ports. According to the composition data of the influencing monitoring ports of different influencing robots, determine the number of influencing monitoring ports of different influencing robots. Based on the number of influencing monitoring ports of the influencing robots of the monitoring ports, determine whether the monitoring ports are alternative switching ports.

[0044] Specifically, if the number of influencing robots of the monitoring ports is within a preset robot number range, that is, when the number of influencing robots is not large and the average value of the number of influencing monitoring ports of different influencing robots is within 4, then determine that the monitoring ports are alternative switching ports.

[0045] It can be understood that when the monitoring ports do not belong to the alternative switching ports, then when there is a read delay in the monitoring ports, they are directly temporarily set as faulty ports until after a preset duration, that is, after 5 minutes, and then the process automation robot is used to read the data of the ports.

[0046] In another possible embodiment, the method for determining the alternative switching ports in the monitoring ports is as follows: S31 Based on the influencing robots of the monitoring ports, determine the number of influencing robots of the monitoring ports. It can be understood that in the above steps, if the number of influencing robots is large, at this time, the influence on other process automation robots is relatively high. Therefore, it can be directly determined that the influence of the monitoring ports on the existing robots is relatively large, and thus it can be directly determined that they do not belong to the alternative switching ports.

[0047] In addition, it should be noted that if the number of influencing robots is not large, it is also necessary to determine whether the number of ports for the influencing robots' own monitoring meets the requirements. Specifically, if the number of ports for the influencing robots' own monitoring is large, specifically, if the sum of the number of ports for the influencing robots' own monitoring is large and it is difficult to meet the requirements, and specifically, it is determined by means of a threshold, then it is determined that they do not belong to the alternative switching ports.

[0048] S32 determines the number of impact monitoring ports of different impact robots according to the composition data of the impact monitoring ports affecting the robots, and determines the duplicate impact robots in the impact robots by using the number of impact monitoring ports. In addition, it can be understood that for impact robots with a relatively large number of impact monitoring ports, the number of times they are affected by the switching of monitoring ports is relatively large. Therefore, in the above steps, if there are impact robots with more than 10 impact monitoring ports, they cannot be used as alternative switching ports at this time, otherwise the impact on the impact monitoring ports will be relatively high.

[0049] In another embodiment, if there are no impact robots with more than 10 impact monitoring ports, impact robots with more than 3 impact monitoring ports can be used as duplicate impact robots at this time. When the number of duplicate impact robots is more than 20, the impact on the existing process automation robots is relatively high at this time, so it can also be directly determined that they do not belong to the alternative switching ports.

[0050] In addition, it should be noted that when the number of duplicate impact robots is not more than 20, if the number of duplicate impact robots is within a certain range, specifically, when it is between 10 and 20, if the average value of the number of monitoring ports of different overlapping impact robots is more than 70, it can also be determined that they do not belong to the alternative switching ports.

[0051] S33 determines whether the monitoring port is an alternative switching port based on the number of duplicate impact robots of the monitoring port and the number of impact robots corresponding to the impact monitoring ports.

[0052] In addition, it should be noted that in a possible embodiment, it can be understood that the ratio of the number of impact robots corresponding to the impact monitoring ports of the duplicate impact robots to the preset number is used to determine the port impact value of the impact monitoring ports corresponding to different duplicate impact robots. According to the difference between the preset value and the port impact value, the impact difference is determined. When the sum of the impact differences of the impact monitoring ports corresponding to different duplicate impact robots is greater than the preset difference threshold, it means that the number of impact monitoring ports affected by the overlapping impact robots is relatively large and the independence is relatively high. Therefore, it can be directly determined that the monitoring port does not belong to the alternative switching ports.

[0053] S4 obtains the composition data of the alternative switching ports to be monitored, combines the overlapping data of the impact robots with other alternative switching ports, determines the abnormal response strategy for the reading delay of different alternative switching ports, and based on the abnormal response strategy and the monitoring ports to be monitored, uses the large model to perform the generation process of the process automation robot.

[0054] Further, the read delay is a state where the duration of reading data is greater than a preset duration and the port has no response.

[0055] Specifically, the method for determining the abnormal response strategy for the read delay of the alternative switching port is as follows: Using the composition data of the alternative switching port to be monitored, determine the number of alternative switching ports to be monitored; Determine the number of overlapping robots affecting other alternative switching ports through the overlapping data of robots affecting other alternative switching ports; According to the number of the alternative switching ports and the number of overlapping robots affecting other alternative switching ports between different alternative switching ports, determine the abnormal response strategy for the read delay of the alternative switching port.

[0056] It can be understood that when the number of alternative switching ports is small, that is, less than the threshold of the preset number of alternative switching ports, the first strategy is adopted for determining the abnormal response strategy for different alternative switching ports.

[0057] When the number of alternative switching ports is large, that is, not less than the threshold of the preset number of alternative switching ports, determine the abnormal response strategy for the read delay of the alternative switching port according to the number of overlapping robots affecting other alternative switching ports between the alternative switching port and other alternative switching ports.

[0058] Specifically, when the number of overlapping robots affecting other alternative switching ports between the alternative switching port and other alternative switching ports is greater than the preset overlapping number threshold, then when there is a read delay in the monitoring port, it is directly temporarily set as a faulty port, and after a preset duration, that is, 5 minutes later, the process automation robot is used to read the data of the port.

[0059] If the number of overlapping robots affecting other alternative switching ports between the alternative switching port and other alternative switching ports is not greater than the preset overlapping number threshold, then determine whether the overlapping number is less than the preset overlapping number value. If so, adopt the first strategy to determine the abnormal response strategy. If not, adopt the second strategy to determine the abnormal response strategy.

[0060] Specifically, the first strategy is that when there is a reading delay, directly switch to the alternative robot for reading processing. The second strategy is that when there is a reading delay, determine whether the number of monitoring ports switched to the alternative robot is more than 3. If so, when there is a reading delay in the monitoring port, directly temporarily set it as a faulty port, and after a preset duration, that is, after 5 minutes, use the process automation robot to read the data of the port. If not, use the alternative robot with the number of monitoring ports switched to it being 3 or less as the switching target, and perform reading processing after switching.

[0061] Further, the generation process of the process automation robot specifically includes: Take the abnormal response strategies of different monitoring ports and the monitoring ports to be monitored as input quantities and input them into the large model; Use the large model to perform the generation process of the process automation robot.

[0062] In a possible embodiment, the large model is constructed by Deepseek-R2.

[0063] Embodiment 2 In a second aspect, as Figure 5 shown, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor. When the processor runs the computer program, it executes the above-mentioned method for generating robot process automation based on a large model.

[0064] Each embodiment in this specification is described in a progressive manner. The same or similar parts between each embodiment can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the device, equipment, and non-volatile computer storage medium, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0065] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be executed in a different order from that in the embodiments and still achieve the desired results. Additionally, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0066] The above are only one or more embodiments of this specification and are not intended to limit this specification. For those skilled in the art, various changes and modifications can be made to one or more embodiments of this specification. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A method for generating robot process automation based on a large model, characterized in that Specifically include: Based on the data type of the monitoring port, determine the alternative robots of the existing process automation robots. According to the number of alternative robots of different monitoring ports and the port monitoring data of different alternative robots, determine the influencing robots of the monitoring port; Obtain the monitoring ports of different alternative robots that belong to the influencing robots, and use them as the influencing monitoring ports. When it is determined that the switching influence degree on the existing process automation robots is difficult to meet the requirements based on the overlapping data of the influencing monitoring ports of different alternative robots, proceed to the next step; Based on the influencing robots of different monitoring ports and the composition data of the influencing monitoring ports of the influencing robots, determine the alternative switching ports in the monitoring port; Obtain the composition data of the alternative switching ports to be monitored, and combine the overlapping data of the influencing robots with other alternative switching ports to determine the abnormal response strategy for the reading delay of different alternative switching ports. Based on the abnormal response strategy and the monitoring port to be monitored, use the large model to perform the generation process of the process automation robot.

2. The method for generating robot process automation based on a large model according to claim 1, wherein, The alternative robot is an existing process automation robot that can read the data type of the monitoring port.

3. The method for generating robot process automation based on a large model according to claim 1, characterized in that, The method for determining the influencing robots of the monitoring port is: Based on the port monitoring data of the alternative robots of the monitoring port, determine the number of monitored ports of the alternative robots of the monitoring port; According to the number of monitored ports of the alternative robots and the number of alternative robots, determine whether the alternative robot is an influencing robot.

4. The method for generating robot process automation based on a large model according to claim 1, wherein, Determining that the switching influence degree on the existing process automation robots is difficult to meet the requirements specifically includes: Based on the overlapping data of the influencing monitoring ports of different alternative robots, determine the influencing monitoring ports with the overlapping number less than the preset overlapping number with other alternative robots, and use them as independent influencing ports; According to the number of independent influencing ports, determine the switching influencing robots among the alternative robots; According to the number of switching influencing robots, determine whether the switching influence degree on the existing process automation robots is difficult to meet the requirements.

5. The method for generating robot process automation based on a large model according to claim 1, wherein, The method for determining the alternative switching ports in the monitoring port is: Based on the influencing robots of the monitoring port, determine the number of influencing robots of the monitoring port; According to the composition data of the influencing monitoring ports of different influencing robots, determine the number of influencing monitoring ports of different influencing robots; Based on the number of influencing monitoring ports of the influencing robots of the monitoring port, determine whether the monitoring port is an alternative switching port.

6. The method for generating robot process automation based on a large model according to claim 5, characterized in that ,, When the monitoring port does not belong to the alternative switching port, then when there is a reading delay in the monitoring port, directly temporarily set it as a faulty port until after the preset duration, and then use the process automation robot to read the data of the port.

7. The method for generating robot process automation based on a large model according to claim 1, characterized in that, The reading delay is a state where the duration of reading data is greater than the preset duration and the port has no response.

8. The method for generating robot process automation based on a large model according to claim 1, wherein, The method for determining the abnormal response strategy for the reading delay of the alternative switching port is: Determine the number of alternative switching ports to be monitored and processed by using the composition data of the alternative switching ports to be monitored and processed; Determine the overlapping quantity of robots affected between the alternative switching ports and other alternative switching ports through the overlapping data of robots affected between the alternative switching ports and other alternative switching ports; Determine the abnormal response strategy with read delay for the alternative switching ports according to the number of the alternative switching ports and the overlapping quantity of robots affected between different alternative switching ports and other alternative switching ports; 9. The method for generating robot process automation based on a large model according to claim 1, wherein Perform the generation process of the process automation robot, specifically including: Input the abnormal response strategies of different monitoring ports and the monitoring ports to be monitored and processed as input quantities into the large model; Use the large model to perform the generation process of the process automation robot.

10. A computer system, comprising: A memory and a processor in communication connection, and a computer program stored on the memory and capable of running on the processor, wherein when the processor runs the computer program, it executes a method for generating robot process automation based on a large model according to any one of claims 1-9.

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