OPERATION AND MAINTENANCE FAULT ROOT CAUSE IDENTIFICATION METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

摘要

An operation and maintenance fault root cause identification method and apparatus, a computer device and a storage medium. The method comprises: obtaining a plurality of alarm objects (S1); performing clustering calculation on the plurality of alarm objects by using a preset clustering algorithm, and clustering the plurality of alarm objects into a plurality of alarm clusters (S2); performing root cause analysis on the plurality of alarm clusters by means of a preset root cause identification model to obtain a probability value for each alarm object in each alarm cluster being a root cause, the root cause identification model being trained on the basis of a deep neural network model (S3); and selecting the alarm object corresponding to the maximum probability value in each alarm cluster as the root cause of the respective alarm cluster (S4). The operation and maintenance fault root cause identification method may be applied to the field of blockchains. A trained root cause identification model may be stored in a blockchain network and, by means of the present operation and maintenance fault root cause identification method and apparatus, computer device, and storage medium, root cause analysis can be accurately carried out on operation and maintenance faults.