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Predictive analysis method and device based on Bayesian network inference

A Bayesian network and predictive analysis technology, applied in the field of predictive analysis methods and devices based on Bayesian network reasoning, can solve problems such as lack of predictive functions, failure to predict system performance, failure to predict failures and risks, etc., to achieve convenience Effects of user decision-making, reliability assurance, and loss avoidance

Active Publication Date: 2019-05-31
NEUSOFT CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing automated operation and maintenance system only focuses on what happened in the past and what is happening now to provide a relatively automatic solution
However, the existing automated operation and maintenance system lacks predictive functions, and cannot effectively predict future failures and risks, nor can it predict system performance based on user input

Method used

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  • Predictive analysis method and device based on Bayesian network inference
  • Predictive analysis method and device based on Bayesian network inference
  • Predictive analysis method and device based on Bayesian network inference

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Embodiment Construction

[0036] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0037] In order to enable those skilled in the art to understand the present invention more conveniently, firstly, the theory of the Bayesian network can be briefly described.

[0038] It should be noted that the Bayesian network is an important achievement based on the Bayesian theory. The basic content of the Bayesian theory is: based on the prior probability and conditional probability, the posterior probability is obtained. Among them, conditional probability can be understood as: the probability of event A occurring under th...

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Abstract

The invention discloses a predictive analysis method and device based on Bayesian network reasoning. The method is applied to the automatic operation and maintenance system, including: obtaining the automatic operation and maintenance data from the database of the automatic operation and maintenance system, wherein the automatic operation and maintenance data includes a node relationship table and a node data table; generating a network topology diagram according to the node relationship table, and Perform statistical analysis of sample files according to the network topology diagram and node data table to generate the first Bayesian network; obtain the limiting conditions of the target node, and perform inference analysis according to the limiting conditions of the target node and the first Bayesian network to generate Get the interval confidence of each node in the first Bayesian network, and output the interval with the largest confidence in each node. By applying Bayesian network reasoning to prediction in the field of automatic operation and maintenance, the prediction function of the automatic operation and maintenance system has been expanded, which is an original achievement.

Description

technical field [0001] The invention relates to the technical field of automatic operation and maintenance, in particular to a predictive analysis method and device based on Bayesian network reasoning. Background technique [0002] The current automated operation and maintenance system is mainly divided into three categories: provisioning, configuration management and monitoring. Among them, preparation is mainly software for configuration management automation, which can automatically update services after the system is installed; configuration management tools are used to set parameters or start services on a new server; monitoring provides comprehensive server performance testing. However, the existing automated operation and maintenance systems only focus on what happened in the past and what is happening now, so as to provide relatively automatic solutions. However, the existing automated operation and maintenance system lacks predictive functions, and cannot effective...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06N5/04G06N7/00G06Q10/04G06Q10/06
CPCG06N5/04G06Q10/04G06Q10/0635G06F2111/08G06N7/01
Inventor 赵甜芳石子凡许力
Owner NEUSOFT CORP
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