Time sequence prediction model-based alarm threshold value setting method and device

A forecasting model and time series technology, applied in forecasting, instrumentation, data processing applications, etc., can solve the problems of manually providing alarm thresholds and not being able to automatically analyze them, and achieve the effects of improving operational efficiency, strong applicability, and ensuring reliability

Active Publication Date: 2018-11-30
NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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Problems solved by technology

[0005] The embodiment of the present invention provides a method and device for setting an alarm threshold based on a time series prediction model, which is used to solve the problem that the data center infrastructure in th

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  • Time sequence prediction model-based alarm threshold value setting method and device
  • Time sequence prediction model-based alarm threshold value setting method and device
  • Time sequence prediction model-based alarm threshold value setting method and device

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no. 3 example

[0085] In the third embodiment of the present invention, this embodiment is based on the above-mentioned embodiments, and the time unit is calculated in days, and the monitoring index to be set is the A-phase current value of a certain dry-type transformer and the storage granularity of data is 1 hour. example, combined with Figure 4-9 An application example of the present invention is introduced.

[0086] A method for adaptively setting an alarm threshold based on a time series model provided by an embodiment of the present invention will be described in detail below, Figure 4 A flow chart of a method for adaptively setting an alarm threshold based on a time series model in an embodiment of the present invention is given, which generally includes six steps. They are:

[0087] Step S1: Preprocessing of monitoring data. The preprocessing of monitoring data includes data acquisition, cleaning and generation of maximum and minimum sequence. Obtain specific monitoring indica...

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Abstract

The invention discloses a time sequence prediction model-based alarm threshold value setting method and device. The method comprises the following steps of: obtaining time sequence monitor data of a to-be-set monitor index; determining a maximum value and a minimum value under each time unit in the time sequence data so as to generate a maximum value sequence and a minimum value sequence; creatinga time sequence prediction model for the maximum value sequence and the minimum value sequence; predicting change conditions of the to-be-set monitor index in q time units in the future by utilizingthe time sequence prediction model for the maximum value sequence and the minimum value sequence so as to obtain a maximum value prediction sequence and a minimum value prediction sequence; and obtaining an alarm interval sequence of an alarm threshold value according to an initial threshold value of an alarm threshold value of the determined to-be-set monitor index, the maximum value prediction sequence and the minimum value prediction sequence. The method and device are capable of realizing self-adaptive setting of monitor data alarm threshold values of data center infrastructures, and are beneficial for improving the operation efficiency of data center infrastructures.

Description

technical field [0001] The invention relates to the technical field of data monitoring, in particular to a method and device for setting an alarm threshold based on a time series prediction model. Background technique [0002] As an important cornerstone of supporting the information society, the scale of the data center gradually increases with the increase of information production and consumption capacity. The number of cabinets in a large data center can reach more than 5,000, and the real-time power can reach more than 10MW. In order to ensure the high reliability of information services, the data center is not only equipped with a basic dual-circuit power supply system, but also equipped with a backup power system and an uninterruptible power supply system. Since the temperature and humidity environment of the computer room needs to be kept in an appropriate range, the data center has also built a large-scale cooling system. In addition, data centers are usually equi...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/06393
Inventor 黄建文朱海龙陈苏
Owner NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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