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Monitoring index abnormity detection method, model training method, device and equipment

A technology for monitoring indicators and anomaly detection. It is applied in hardware monitoring, error detection/correction, instruments, etc. It can solve the problems of operation and maintenance personnel struggling to solve problems, abnormal false alarms, etc., and achieve the effect of reducing the probability of false alarms.

Pending Publication Date: 2019-07-12
ADVANCED NEW TECH CO LTD
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

In the current monitoring platform, the judgment logic for judging abnormal data is too simple. When the business fluctuates normally, it will bring large-scale abnormal false positives, which makes the operation and maintenance personnel tired of solving the problem.

Method used

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  • Monitoring index abnormity detection method, model training method, device and equipment
  • Monitoring index abnormity detection method, model training method, device and equipment
  • Monitoring index abnormity detection method, model training method, device and equipment

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Embodiment Construction

[0041] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0042] The terminology used in the present invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein and in the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as use...

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Abstract

The invention provides a monitoring index abnormity detection method, a model training method, device and equipment. The method comprises: predicting the predicted value of the monitoring index at thetarget time through a pre-trained monitoring index prediction LSTM model, and comparing the actual value of the monitoring index at the target time with the predicted value; judging whether the deviation degree of the actual value and the predicted value exceeds a preset threshold value or not; and if yes, sending abnormal alarm information. Through a deep learning mode, the potential change ruleof the monitoring index is learned based on historical data, the future trend of the monitoring index is more reasonably predicted, and whether the monitoring index is abnormal is judged by comparingthe predicted value with the actual value, so that the probability of false alarm can be reduced.

Description

technical field [0001] The present invention relates to the technical field of intelligent operation and maintenance, and in particular to a monitoring index abnormality detection method, model training method, device and equipment. Background technique [0002] In the Internet era, in order to ensure the normal operation of business, various monitoring platforms will be used to monitor various monitoring indicators of business data, so as to detect abnormal business data in time and deal with them in time, minimizing the damage caused by downtime Reduced quality of service and loss of business. Due to the wide variety of businesses, corresponding to a large number of business data and monitoring indicators, how to find abnormal business data from the monitoring curve of complicated business data and report to the police in time is particularly critical. In the current monitoring platform, the judgment logic for judging abnormal data is too simple. When the business fluctua...

Claims

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Application Information

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IPC IPC(8): G06F11/30G06F11/32
CPCG06F11/3072G06F11/327
Inventor 赵孝松王少华游永胜陈治周扬霍扬扬杨树波
Owner ADVANCED NEW TECH CO LTD
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