Business performance fault diagnosis method, device, equipment, medium and program product

CN120803785APending Publication Date: 2025-10-17CHINA MOBILE INFORMATION TECHNOLOGY CO LTD +1
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Patent Information

Application Number
CN202510929259.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-07
Publication Date
2025-10-17

AI Technical Summary

Technical Problem

Existing operation and maintenance business performance fault diagnosis technology has the problems of low fault diagnosis accuracy and low diagnosis efficiency.

Method used

A deep learning algorithm is used to train the fault diagnosis model. Server logs, application logs, network monitoring data, and user feedback data are used to extract features and predict faults through a bidirectional long-short-term memory layer, a business context perception layer, and an attention mechanism layer. The backpropagation algorithm and gradient descent method are combined to optimize model parameters to achieve real-time fault monitoring and diagnosis.

Benefits of technology

It improves the accuracy and efficiency of fault diagnosis, reduces missed reports, achieves real-time response and large-scale application, reduces operation and maintenance costs, and improves system stability and reliability.

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Abstract

The invention provides a service performance fault diagnosis method and device, equipment, a medium and a program product, and relates to the technical field of artificial intelligence, the service performance fault diagnosis method comprises the following steps: inputting first service performance fault related data into a fault diagnosis model to obtain fault prediction data output by the fault diagnosis model; wherein the fault diagnosis model is obtained by training according to historical business performance fault related data; determining a fault diagnosis source according to second service performance fault related data and the fault prediction data; wherein the second service performance fault related data is data acquired after the first service performance fault related data. According to the invention, real-time fault response is realized, the fault diagnosis efficiency is improved, the application scene is wider, and large-scale application is realized.
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