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Method and device for constructing equipment alarm knowledge base based on deep learning

A deep learning and construction method technology, applied in the computer field, can solve the problems of noise, missing data in the alarm information database, data duplication and time asynchrony, etc., to achieve the effect of data integrity

Active Publication Date: 2020-11-06
GCI SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for constructing an equipment alarm knowledge base, so as to solve the technical problems of existing intelligent equipment alarm information bases such as missing data, repeated data, out-of-time synchronization, and containing a lot of noise

Method used

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  • Method and device for constructing equipment alarm knowledge base based on deep learning
  • Method and device for constructing equipment alarm knowledge base based on deep learning
  • Method and device for constructing equipment alarm knowledge base based on deep learning

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Embodiment 2

[0064] An embodiment of the present invention provides a device for constructing a deep learning-based device alarm knowledge base, including:

[0065] The processing module is used to synchronously process the alarm data of the same device within a period of time by using a sliding time window to obtain alarm transaction databases of different windows; wherein, one redundant alarm data in the same window is reserved; the alarm data includes Alarm type and alarm level;

[0066] The extraction module is used to extract the alarm data satisfying the preset frequency and the preset correlation degree from the alarm thing library of the different windows through the association rule algorithm as the second alarm data; wherein, the second alarm data includes the first Two types of alarms, the second level of alarms;

[0067] An alarm data vectorization module, configured to perform vectorization processing on the second alarm type and the second alarm level respectively, and obtai...

Embodiment 3

[0078] An embodiment of the present invention also provides a computer-readable storage medium, the storage medium includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to perform the above-mentioned deep learning-based device alarm The construction method of the knowledge base achieves the technical effect consistent with the construction method of the above-mentioned deep learning-based equipment alarm knowledge base.

[0079] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented through computer programs to instruct related hardware, and the programs can be stored in a computer-listenable storage medium. During execution, it may include the processes of the embodiments of the above-mentioned methods. Wherein, the storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only M...

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Abstract

The invention discloses a method and a device for constructing an equipment alarm knowledge base based on deep learning. The method comprises the following steps: synchronously processing alarm data of the same equipment within a period of time; taking out alarm data (which comprises alarm types and alarm levels) meeting preset frequency and preset relevancy through an association rule algorithm,and splicing vector representations of the alarm types and the alarm levels to obtain vector representations of the alarm data; normalizing and vectorizing the equipment information data correspondingto the alarm data to obtain vector representation of the equipment information data; training the vector representation of the alarm data and the vector representation of the equipment information data by adopting a deep learning method; important equipment information and thresholds of the important equipment information are obtained, and an alarm knowledge base is constructed by selecting alarmdata, the important equipment information corresponding to the alarm data and the thresholds of the important equipment information corresponding to the alarm data, so that an alarm information basewith more complete and accurate data can be provided.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for constructing an equipment alarm knowledge base based on deep learning. Background technique [0002] The inventor found in the research that the existing smart device manufacturing alarm information library has problems of missing data, repeated data, out-of-time synchronization, and containing a lot of noise. An alarm information database with complete and accurate data is of great significance to improve the efficiency of troubleshooting and ensure the normal production of smart devices. Therefore, how to overcome the problems of missing data, duplication of data, out-of-time synchronization, and a lot of noise in the alarm information library of smart devices to obtain a more complete and accurate alarm information library is a technical problem that needs to be solved urgently. Contents of the invention [0003] The object of the present i...

Claims

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Application Information

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IPC IPC(8): G06F9/46G06N3/08
CPCG06F9/466G06N3/08Y04S10/50
Inventor 杜翠凤滕少华黄土荣
Owner GCI SCI & TECH