Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF5 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 the prior art must manually provide an alarm threshold, and cannot automatically analyze the reasonable alarm threshold from historical monitoring data. Threshold range to adaptively set the alarm threshold of monitoring data

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products