Abnormal SER/SOE event recognition method based on Apriori algorithm

An identification method and event technology, applied in the field of identification, can solve the problems of abnormal events that cannot be handled in time, abnormal SER/SOE events missed, misreading, etc., to achieve the effect of ensuring safe and stable operation, simple method, and reducing missed viewing

Active Publication Date: 2018-09-18
ANNING BUREAU OF ULTRA HIGH VOLTAGE TRANSMISSION
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, manual monitoring of SER / SOE events is difficult to maintain concentration at all times, and abnormal SER / SOE events may be missed or misread, resulting in abnormal events that cannot be dealt with in a timely manner, resulting in serious consequences

Method used

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  • Abnormal SER/SOE event recognition method based on Apriori algorithm
  • Abnormal SER/SOE event recognition method based on Apriori algorithm
  • Abnormal SER/SOE event recognition method based on Apriori algorithm

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Embodiment

[0048] Embodiment: The identification method of the present invention is described by taking the event sequence recording system of the ±800kV Chuxiong converter station as an example.

[0049] (1) Obtain the SER / SOE event list from the control system in time sequence, see figure 1 , figure 1 It is a partial screenshot of the display interface of the event sequence recording system of the ±800kV Chuxiong converter station at a certain period of time. The figure is the sequence of SER / SOE events. Every time an event occurs on site, the control system will generate a new SER and display it for the operator to view to understand what happened on site, where MessageText is the event information, and the operator will know what it is when they look at the information, and Number is the event number , each event has a unique event number, in order to simplify, the algorithm of the present invention uses the event number as the event identifier to replace the event itself, to distin...

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Abstract

The invention relates to an abnormal SER event recognition method based on an Apriori algorithm. The method comprises: an SER / SOE event based on a time sequence is obtained from an operating system; on the basis of the Apriori algorithm, a frequent follow-up occurrence event of a target SER / SOE event is dug out; an occurrence rule of the SER / SOE event is obtained; on the basis of the rule, whetherthe opportunity of reoccurrence of the target SER / SOE is correct is identified; and if not, an abnormal SER event is identified and the operation and maintenance personnel analyzes and processes theevent timely. On the basis of the Apriori algorithm, the association rule of the target SER / SOE event is analyzed and then the abnormal SER / SOE not conforming to the association rule is found out automatically based on the rule, so that the traditional mode of the artificial supervisor to pay attention to the SER is replaced and the possibility that the abnormal SER event is missed or checked incorrectly is reduced.

Description

technical field [0001] The invention relates to an identification method, in particular to an Apriori algorithm-based identification method for abnormal SER / SOE events. Background technique [0002] In DC transmission systems and most other industrial control systems, the SER (Sequence Event Recorder) or SOE (Sequence Of Event) function is responsible for realizing the purpose of event recording during system operation. The SER / SOE system records events according to the timing of events Capture and record event information, mainly including Date (date), Time (time), Number (event number, each event has a unique number), Message Text (event description), Class (event level, such as emergency event, alarm event, Status events) and other information, the recorded information can be checked and analyzed by operation and maintenance personnel afterwards, and used for event tracing and accident analysis. [0003] Usually, the SER / SOE function is used for the monitoring, query and...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/211G06F18/24
Inventor 李少森孙豪黄剑湘李德荣朱盛强杨光丁丙侯刘超鞠翔刘艇程建登邓先友杨铖
Owner ANNING BUREAU OF ULTRA HIGH VOLTAGE TRANSMISSION
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