Intelligent data association relationship determining method based on information operation and maintenance

A data association and relationship determination technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of increasing implementation costs, less elimination of derivative alarm information, and imperfect reflection of manual alarm elimination rules.

Active Publication Date: 2018-08-21
ANSTEEL GRP MINING CO LTD
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AI Technical Summary

Problems solved by technology

[0004] 1. Derived warning information cannot or rarely be eliminated;
[0005] 2. Manually formulating alarm elimination rules is not perfect, resulting in cumbersome and low-accuracy settings, which increases the cost of implementation and the cost of daily operation and m...

Method used

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  • Intelligent data association relationship determining method based on information operation and maintenance
  • Intelligent data association relationship determining method based on information operation and maintenance
  • Intelligent data association relationship determining method based on information operation and maintenance

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Embodiment Construction

[0022] An embodiment of the present invention will be further described below in conjunction with the accompanying drawings.

[0023] In the embodiment of the present invention, the initial stage of the intelligent data association determination method based on information operation and maintenance: firstly, the historical alarm data is regarded as the original input data; the purpose is to allow the program to establish a basic FP-tree in a short time; The FP-tree is the core of this method. The FP-growth algorithm eliminates irrelevant alarms by searching the FP-tree, finds out key alarms, and pushes them to the management personnel. Operation phase: We regard all alarm data within 5 seconds as a transaction; the system continuously enriches the FP-tree by learning from the actual operating data to improve the reliability of system alarms.

[0024] In the embodiment of the present invention, the method flow chart is as follows figure 1 shown, including the following steps: ...

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Abstract

The invention provides an intelligent data association relationship determining method based on information operation and maintenance, and belongs to the field of application of artificial intelligence technologies to equipment operation and maintenance. According to the method, key alarm points can be found accurately, and derivative alarms caused by the key alarm points are filtered; the alarm relationship is combed in a mode of combining an artificial intelligence algorithm and manual setting of rules is adopted to tease the alarm relationship, and the alarm recognition accuracy and efficiency are improved; the possibility of operation and maintenance managers facing the alarm disaster is reduced; software and hardware changes can also be dynamically learnt to automatically perform corresponding adjustment, and the possibility of bad alarms due to changes in the operation and maintenance environment is avoided.

Description

technical field [0001] The invention belongs to the field of applying artificial intelligence technology to equipment operation and maintenance, and specifically relates to a method for determining an intelligent data association relationship based on information operation and maintenance. Background technique [0002] In the existing operation and maintenance system, the alarm information of IT equipment or other equipment is only processed as simple as alarm push, and the internal relationship of equipment alarm information is not considered. As a result, a key device alarm can generate a series of derivative device alarms, resulting in a disaster of alarm information, making it impossible for operation and maintenance personnel to find key equipment alarm information in a timely and accurate manner; reducing operation and maintenance efficiency and increasing operation and maintenance costs; [0003] The existing warning system mainly has some defects: [0004] 1. It is ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/2246G06F16/2465
Inventor 王欢刘晓然姜山红孙为平彭观伟宁君
Owner ANSTEEL GRP MINING CO LTD
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