Abnormality processing method and device based on RPA and AI, equipment and medium
An exception handling and exception technology, applied in the field of system operation and maintenance, can solve problems such as time-consuming, laborious and inefficient, and achieve the effect of improving efficiency and user experience
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Embodiment 1
[0082] figure 2 It is a flow chart of the RPA and AI-based exception handling method provided in Embodiment 1 of the present invention. The method is executed based on the RPA and AI exception handling device, and the device can be realized by software and / or hardware. The method provided in this embodiment can be applied to an automation service platform, such as UiBot, which is a platform that can provide AI capabilities for RPA robots. Such as figure 2 As shown, the method includes:
[0083] S110. Monitor whether an object to be monitored with an established connection is abnormal; the object to be monitored includes a server device and / or an application service.
[0084] In this embodiment, the RPA robot can continuously monitor server devices and / or application services that need to be monitored. For example, a time interval can be set, such as 1 millisecond, 3 milliseconds, 5 milliseconds, etc., to monitor periodically. The foregoing time interval may be adjusted a...
Embodiment 2
[0105] image 3 It is a flow chart of the RPA and AI-based exception handling method provided by Embodiment 2 of the present invention. This embodiment is the specific operation process for the RPA robot to retrieve the abnormal response processing plan corresponding to the current operation and maintenance work order in the pre-established knowledge base. ,Such as image 3 As shown, the method includes:
[0106] S310. Extract keyword information in the current operation and maintenance work order.
[0107] In an implementation manner, the RPA robot may extract keywords in the description information of the abnormal log included in the current operation and maintenance work order, and use them as keyword information in the current operation and maintenance work order. Among them, the keyword extraction can be carried out by using the semantic recognition method in NLP.
[0108] S320. Determine the importance level of the current operation and maintenance work order accordin...
Embodiment 3
[0116] Figure 4 It is a structural block diagram of an RPA and AI-based exception handling device provided in Embodiment 3 of the present invention, as shown in Figure 4 As shown, the device includes: an abnormality monitoring module 410, a work order creation module 420 and an abnormality repairing module 430; wherein,
[0117] An abnormality monitoring module 410, configured to monitor whether there is an abnormality in an object to be monitored with an established connection; the object to be monitored includes server equipment and / or application services;
[0118] The work order creation module 420 is configured to create a current operation and maintenance work order corresponding to the abnormality when it is detected that the object to be monitored is abnormal; the current operation and maintenance work order includes at least exception log description information;
[0119] The abnormal repair module 430 is used to retrieve the abnormal response processing plan corre...
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