Industrial alarm flooding prediction method based on N-gram model

Abstract

The invention belongs to the field of signal processing, and particularly relates to an industrial alarm flooding prediction method based on an N-gram model. The industrial alarm flooding prediction method based on the N-gram model comprises the following steps that (1) a historical alarm flooding data set is acquired, alarm variables therein are counted, a discrimination degree of each alarm variable is calculated, and the alarm variables with 0 discrimination degree are eliminated; (2) sequences in the processed data set are compared with emerging sequences in similarity one by one, and thesequences are arranged from high to low according to similarity scores; (3) a time window is set to segment the reprocessed data set, the number of each data segment is counted, and the next possiblealarm variable and the corresponding probability are calculated by using a sample data set; (4) the probability of predicting the next alarm and a corresponding confidence interval are calculated through a Bayesian probability model; and (5) iterative operations are performed on the steps (3) and (4). The industrial alarm flooding prediction method based on the N-gram model solves the problem of inaccurate prediction of carrying out alarm flooding prediction at present.

Description

Technical field [0001] The invention belongs to the field of signal processing, and in particular relates to an industrial alarm flood prediction method based on an N-gram model. Background technique [0002] In the current industrial field, the alarm system is widely used as the role of monitoring and alerting abnormal situations in the industrial process. However, the current industrial alarm system still has many problems, such as nuisance alarm, permanent alarm and alarm flooding. Nuisance alarms refer to a large number of meaningless alarms that are generated in a short time and do not require the operator to respond. The existence of these alarms will reduce the operator's ability to respond to real alarms; permanent alarms refer to continuous maintenance after occurrence Alarms for a long time, these alarms are usually still not cleared after the operator takes actions, which will affect the operator's judgment on the working status of the system; alarm flooding means tha...

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Problems solved by technology

[0006] According to the above deficiencies in the prior art, the present invention provides a method for predicting industrial alarm floods based on the N-gram model, which can solve the problem of not considering the classification of historical alarm floods and the amount of data in the historical alarm flood database. The problem of inaccurate prediction caused by alarm flood prediction

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