Supercharge Your Innovation With Domain-Expert AI Agents!

Abnormality processing method and device

An exception handling and exception technology, applied in the computer field, can solve problems such as exception merging, and achieve the effect of improving the efficiency of exception handling

Pending Publication Date: 2021-12-31
CHINA CONSTRUCTION BANK
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, abnormalities are mainly monitored based on the system and time dimensions. All abnormalities in a certain system within a fixed time, such as 5 minutes, are combined into one fault. The problem with exception merging

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
  • Abnormality processing method and device
  • Abnormality processing method and device
  • Abnormality processing method and device

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0066] Leverage machine learning models for root cause analysis of anomalies.

[0067] see figure 2 , root cause analysis of anomalies using machine learning models includes the following steps:

[0068] S201: Obtain abnormal operating data;

[0069] Abnormal operation data include: abnormal subsystem or equipment, abnormal index and abnormal index value and other data.

[0070] S202: Input the abnormal operation data into the pre-built root cause analysis model for processing, and obtain the root cause of the abnormality. The root cause analysis model is after training the preset machine learning model by using the training samples of the marked root cause type owned.

[0071] The above machine learning model can be any classification model.

[0072] The training process of the machine learning model may use the existing machine learning technology, which is not specifically limited in this embodiment of the present invention.

[0073] The training goal of the machine l...

example 2

[0075] When the system has an abnormal early warning mechanism, the abnormal alarm information can be used to analyze the root cause of the abnormal.

[0076] see image 3 , using the abnormal alarm information to analyze the root cause of the abnormality includes the following steps:

[0077] S301: Obtain abnormal alarm information;

[0078] S302: Analyze the abnormal alarm information to obtain the abnormal alarm object;

[0079] An abnormal alarm object can be an entity or a virtual object, such as a physical subsystem or a business application.

[0080] S303: According to the abnormal alarm object, determine the physical device information and / or business information where the alarm occurs;

[0081] S304: Determine the root cause of the abnormality according to the physical device information and / or service information where the alarm occurs.

[0082] According to the abnormal alarm object, determine the physical device information and / or service information where the ...

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

According to the exception handling method and device provided by the invention, under the condition that the exception is detected to be generated, the root cause of the exception is obtained by analyzing the root cause of the exception, so that the sliding window exception is merged based on the root cause of the exception; and whether a new fault is generated or not is determined based on the root cause of the abnormality and the time of the abnormality, so that the problems that the abnormalities of different faults are combined together and the abnormalities of the same fault are not combined together are avoided, and the abnormality processing efficiency is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, and more specifically, to an exception handling method and device. Background technique [0002] If the system fails during operation, it will often be accompanied by multiple abnormal phenomena, such as the value range of some operating indicators not meeting expectations. When handling exceptions, in order to improve processing efficiency, exceptions are generally classified into a certain fault for processing, so as to avoid unnecessary invalid processing and repeated processing. [0003] At present, abnormalities are mainly monitored based on the system and time dimensions. All abnormalities in a certain system within a fixed time, such as 5 minutes, are combined into one fault. The exception merge problem. Contents of the invention [0004] In view of this, the present invention provides an exception handling method and device, which avoids the problem of merging exceptions of ...

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): G06F11/07G06K9/62G06N20/00
CPCG06F11/079G06N20/00G06F18/214
Inventor 李国莹刘威苑志云王艳华常冬冬
Owner CHINA CONSTRUCTION BANK
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More