Log exception reason diagnosis method and device, computer equipment and storage medium

Abstract

The invention relates to a log exception reason diagnosis method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a plurality of pieces of firstlog data subjected to abnormal reason diagnosis, and determining an abnormal feature type to which each piece of first log data belongs; aiming at different module categories, respectively constructing corresponding two-way linked lists; carrying out region division on each two-way linked list to obtain a plurality of sections of sub-linked lists; acquiring second log data of the abnormal reasonto be diagnosed, determining a plurality of target abnormal feature types to which the second log data belongs, and performing feature matching retrieval in the corresponding two-way linked list by taking the second log data as a matching object; and when the corresponding target first log data is matched from the double linked list, outputting the matched target first log data as a diagnosis result. By adopting the method, the hit rate of abnormal reason diagnosis can be effectively improved.

Description

technical field [0001] The present application relates to the technical field of electric power inspection, and in particular to a method, device, computer equipment and storage medium for diagnosing the cause of log abnormalities. Background technique [0002] With the increasing demand for inspections, in order to meet the needs of UAVs that can perform a large number of inspection tasks in the shortest possible time, a new type of automated UAV inspection equipment has emerged as the times require. However, in the new automated UAV inspection In the detection equipment, due to the integration of dozens of intelligent hardware devices, the number of log data output by these intelligent hardware reaches the order of millions every day, and these log data are interleaved with each other according to the sorting of the timeline. In the face of millions of log data per day, in order to achieve unattended 24 / 7 in the true sense, the inspection system needs to have a strong abno...

AI Technical Summary

Problems solved by technology

In the face of millions of log data, when an abnormality occurs in the inspection system, the existing technical solutions have the problem of reducing the efficiency of equipment inspection because they cannot retrieve the cause of the abnormality in time

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