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Dynamic threshold detection method and system based on ARMA and 3sigma
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A dynamic threshold and detection method technology, applied in the direction of error detection/correction, instruments, multi-programming devices, etc., can solve the problems of weak versatility, weak fault tolerance, and the accuracy of association rules affecting the accuracy of thresholds, and achieve accurate solutions Effects on Sex and Tolerance Issues
Pending Publication Date: 2022-01-07
GUANGDONG ESHORE TECH
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The generality of this method is weak, and the accuracy of the association rules will also affect the accuracy of the threshold, and it is also weak in fault tolerance
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Embodiment 1
[0030] Analysis of the scheme for the period T1 in a week, that is, the capture is a week of data characteristics.
[0031] Overall testing process figure 1 As shown, the current time is first judged by the first detection phase ARMA model whether or not the alarm is triggered. If so, the 3sigma model enters the second detection phase further confirms whether the alarm is triggered, if two stages are determined to be sent to the alarm Information, otherwise no alarm information is sent.
[0032] For the first detection phase, this stage uses the ARMA model to learn for a week. ARMA model modeling process figure 2 As shown, first enter the time series, it is necessary to determine whether the time series is smooth, and the differential processing is performed until the sequence is smooth, and the model is performed. Then training the parameters of the model, followed by white noise testing of the training model, if it is not passed, the model is required, and the model can be used ...
Embodiment 2
[0038] In some IT systems, the transactionthrough indicator data is collected according to the data format set in the technical solution. Take five days for one cycle T1, take five days of data, five minutes, including 12 * 24 = 288 daily Time, five days include 5 * 288 = 1440 moments.
[0039] Use the ARMA model to train the collected transaction, then through the model to predict the amount of transaction processing at each time, such as Figure 7 As shown, the fitted data is predicted data, the original timing, the original data.
[0040] The predicted transaction amount is compared to the real transaction amount, and if a value of a certain time is greater than the 1.3 quad limit of the predicted value, the model alarm of the first detection phase is triggered. like Figure 8 The point in the middle circle is the alarm point, which triggers the first detection phase alarm.
[0041] The second detection phase is collected to the transaction processing amount of the corresponding ...
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Abstract
The invention discloses a dynamic threshold detection method and system based on ARMA and 3sigma, and belongs to the field of IT systemanomaly detection. The scheme is provided for solving the problem that in the prior art, accuracy and fault tolerance are poor. The scheme comprises a first detection stage and a second detection stage which are activated in sequence; in the first detection stage, a dynamic threshold value is set through an ARMA model, and the dynamic threshold value is used for detecting the value of the current moment so as to judge whether to give an alarm or not; and the second detection stage verifies the validity of the alarm through a 3sigma model after the alarm is sent in the first detection stage, and sends the alarm to the outside when the validity detection is passed. The method has the advantages that the ARMA is used for learning the characteristics of historical data, threshold values at different moments are obtained through the ARMA model, whether an alarm is given or not is detected, then the effectiveness of the alarm is determined through 3sigma, and the accuracy and fault tolerance problems of the threshold values are solved through the two-stage model.
Description
Technical field [0001] The present invention relates to a monitoring technique of an IT system, and more particularly to a dynamic threshold detection method and system based on ARMA and 3Sigma. Background technique [0002] Under normal circumstances, the IT system has its own monitoring system, and the good monitoring system can help technical personnel discover even a predict in advance. In the monitoring system, it is often involved in detecting whether an indicator is abnormal. The commonly used detection determination method is to see if a certain indicator exceeds the threshold. Once the threshold is exceeded, the warning will be sent. It is important to see the method of detection because it determines whether the monitoring system can accurately understand the occurrence of abnormal problems. For thresholds, traditional processing methods are mainly set by technicians, and there is a low accuracy, causing a lot of misunderstanding alert information. [0003] The method o...
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