Early warning method and device applied to information system

An information system and early warning information technology, applied in the fields of instruments, electrical digital data processing, hardware monitoring, etc., can solve problems such as poor adaptability, inflexibility, and the accuracy of early warning results needs to be further improved, so as to achieve efficient processing and improve flexibility. sexual effect

Active Publication Date: 2017-06-30
北京盛世全景科技股份有限公司
View PDF3 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the existing technology, the method for early warning of information system risk is not flexible enough and not adaptable enough, unable to adapt to the increasing data and increasingly complex data types, and the accuracy of early warning results needs to be further improved

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
  • Early warning method and device applied to information system
  • Early warning method and device applied to information system
  • Early warning method and device applied to information system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Please see figure 1 , is a flow chart of the early warning method applied to the information system provided in Embodiment 1 of the present application, such as figure 1 As shown, the method may include the following steps:

[0045] S110: Collect raw monitoring data of monitored nodes within a preset time period, and construct raw data descriptions according to preset characteristic indicators;

[0046] First of all, the original monitoring data of the monitored nodes within the preset time period can be collected. In the process of collecting the original monitoring data, the type of the collected original monitoring data can be determined according to the preset characteristic indicators. This is because different preset It is assumed that characteristic indicators or their combinations can reflect the early warning requirements of a certain aspect or aspects of the information system. raw monitoring data. For example, to monitor and warn the CPU occupancy rate of ...

Embodiment 2

[0120] Please see image 3 , which is a flow chart of the early warning method applied to the information system provided in Embodiment 2 of the present application, such as image 3 As shown, the method may include the following steps:

[0121] S310: Each time the target prediction data is predicted, determine the original monitoring data of the monitored node within the preset time period before the time point to be predicted, and use the node identification, monitoring time, and each preset A description matrix is ​​constructed in three dimensions of the index amount of the characteristic index, and the description matrix is ​​determined as the description of the original data; the row data of the description matrix identifies the index amount of a specific node under each preset characteristic index within a specific time;

[0122] S320: Analyze the description matrix by a principal component analysis method, obtain a first principal component, and determine the first pri...

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 an early warning method and device applied to an information system. The method comprises the steps that original monitoring data of a monitored node within a preset period of time is collected, original data description is constructed according to preset characteristic indexes; according to the original data description, comprehensive indexes are determined, wherein the comprehensive indexes include weight coefficients corresponding to index components; according to the original data description and the comprehensive indexes, training data is determined, according to the training data, a prediction model is trained, the prediction model is determined, and target prediction data of a target node is determined according to the prediction model; actually obtained data of the target node is determined and converted according to the comprehensive indexes, and the conversion result is compared with the target prediction data; when the comparison result conforms to preset characteristics, corresponding information system early warning information is sent out. According to the method, flexibility and adaptability of information system risk early warning and the early warning result accuracy can be improved.

Description

technical field [0001] This application relates to the technical field of information system operation and maintenance, in particular to an early warning method and device applied to an information system. Background technique [0002] With the continuous deepening of the construction of the information society, the comprehensive development of various fields of social activities and the widespread use of modern information technology have greatly improved social productivity, and at the same time promoted the continuous emergence of new technologies and new industries. It can be said that information technology has It has been integrated into all walks of life in social activities, and has even become an important basic component of many industries. In the process of applying information technology in many industries, social services and other social activities, the technical problems that need to be faced often include managing complex and diverse software and hardware res...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/30G06F11/34
CPCG06F11/3006G06F11/3024G06F11/3495
Inventor 邵忠
Owner 北京盛世全景科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products