Association mining method and system for abnormal event and context event thereof

An abnormal event and context technology, applied in manufacturing computing systems, instruments, electrical and digital data processing, etc., can solve problems such as complex maintenance processes, and achieve the effect of low cost and simple operation

Inactive Publication Date: 2020-07-17
北京工业大数据创新中心有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a correlation mining method and system for abnorma

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  • Association mining method and system for abnormal event and context event thereof
  • Association mining method and system for abnormal event and context event thereof
  • Association mining method and system for abnormal event and context event thereof

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Embodiment Construction

[0039] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0040] Embodiments of the present invention provide a method and system for mining associations between abnormal events and their context events.

[0041] Such as figure 1 As shown, the embodiment of the present invention proposes a method for mining associations between abnormal events and their context events, including the following steps:

[0042] S1. Acquiring the abnormal event table and the context event table;

[0043] S2...

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Abstract

The invention relates to the technical field of production equipment maintenance, in particular to an association mining method and system for an abnormal event and a context event of the abnormal event. The method comprises the following steps: S1, acquiring an abnormal event table and a context event table; s2, obtaining a to-be-mined transaction table according to the abnormal event table and the context event table; s3, obtaining a mining result according to the to-be-mined transaction table, wherein the mining result is at least one of a context event most related to the abnormal event ora fault combination occurring at high frequency or a context event combination occurring at high frequency; and S4, displaying a mining result. According to the method, the context event most relatedto the abnormal event or the fault combination occurring at high frequency or the context event combination occurring at high frequency can be mined through the input abnormal event table and the context event table after processing, the method becomes an auxiliary tool for fault diagnosis and troubleshooting, and the method has the advantages of being easy to operate and low in cost.

Description

technical field [0001] The invention relates to the technical field of production equipment maintenance, in particular to a method and system for mining associations between abnormal events and their context events. Background technique [0002] While the advancement of industrialization provides abundant materials for human life, it has gradually become a "killer weapon" that threatens personal safety. The frequent occurrence of production accidents has made the topic of safe production more and more concerned. Therefore, in the daily production management process, it is necessary to regularly conduct safety inspections and hidden danger discharges on production equipment, thereby improving production safety and reducing the probability of safety accidents. After the equipment fails or is abnormal, the operation and maintenance personnel on the industrial site need to diagnose and troubleshoot the fault according to the manual or maintenance experience. For newcomers to mai...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06F16/248G06Q10/00G06Q50/04
CPCG06Q10/20G06Q50/04G06F16/2465G06F16/248Y02P90/30
Inventor 李闯田春华刘家扬王吉东赵明马国
Owner 北京工业大数据创新中心有限公司
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