Interlocking system fault positioning method based on data mining algorithm

An interlocking system and data mining technology, applied in data mining, electrical digital data processing, digital data information retrieval, etc., can solve problems such as low efficiency and time-consuming, and achieve the effect of reducing workload and improving work efficiency

Pending Publication Date: 2020-10-30
CASCO SIGNAL
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For complex faults, at this stage, the method of manually checking a large number of log records is still used to locate the fault. This method not only depends on the experience and knowledge level of the analysts, but also takes a lot of time and is very inefficient.

Method used

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  • Interlocking system fault positioning method based on data mining algorithm
  • Interlocking system fault positioning method based on data mining algorithm
  • Interlocking system fault positioning method based on data mining algorithm

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Embodiment Construction

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0047] Combine below figure 1 The present invention will be described in detail with an actual fault type (two-machine asynchronous fault).

[0048] 1 Get the fault log

[0049] Firstly, obtain the database records of multiple out-of-synchronization faults of the two machines within a period of time (within one month), and divide all fault logs by minute, so as to obtain 30*24*60=43200 groups of fault records.

[0050] 2 Extract feature variables and tar...

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Abstract

The invention relates to an interlocking system fault positioning method based on a data mining algorithm. The method comprises the following steps: step 1) fault log acquisition; (2) feature variableand target variable extraction, (3) data processing, (4) algorithm selection, (5) model training and evaluation, (6) feature variable importance acquisition, and (7) fault reason determination. Compared with the prior art, the invention has the advantages that the workload of engineers is greatly reduced, the working efficiency is improved, and the like.

Description

technical field [0001] The invention relates to a method for locating a fault of an interlocking system, in particular to a method for locating a fault of an interlocking system based on a data mining algorithm. Background technique [0002] Data mining is the process of discovering potentially valuable information or knowledge hidden in data from a large amount of complex, noisy or even incomplete data. Data mining algorithms have been widely used in commercial fields such as retail, insurance, finance, medical care, and transportation, and in industrial fields such as aerospace, electric power, and machinery manufacturing. At the same time, data mining technology has gradually begun to be explored and used in railway signaling systems, but it has not been applied to fault diagnosis or positioning of interlocking systems. Integrated learning algorithm is an important algorithm in data mining technology. [0003] The computer interlocking system is the core control equipme...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/34G06F16/2458G06K9/62
CPCG06F11/3476G06F11/3447G06F16/2465G06F2216/03G06F18/214
Inventor 黄鲁江成燚
Owner CASCO SIGNAL
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