A Fault Location System and Method Based on Model Hit Probability Distribution

A hit probability, fault location technology, applied in the detection of faulty computer hardware, the generation of response errors, instruments, etc., to achieve the effect of narrowing the scope of troubleshooting

Active Publication Date: 2020-04-07
ZHEJIANG PONSHINE INFORMATION TECH CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

From the initial few servers to a huge data center, manpower alone can no longer meet the requirements in terms of technology, business, management, etc., so standardization, automation, architecture optimization, process optimization and other factors to reduce IT service costs are becoming more and more valued by people

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
  • A Fault Location System and Method Based on Model Hit Probability Distribution
  • A Fault Location System and Method Based on Model Hit Probability Distribution
  • A Fault Location System and Method Based on Model Hit Probability Distribution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] This embodiment provides a fault location system based on model hit probability distribution, such as figure 1 As shown, creating module 11, receiving module 12, parsing module 13, generating module 14, matching module 15, calculating module 16, correcting module 17;

[0042] The creation module 11 is used to pre-create a fault model judgment rule base and a fault model base;

[0043] The receiving module 12 is configured to receive abnormal data;

[0044] The parsing module 13 is configured to parse the received abnormal data and match it with the pre-created fault model judging rule base;

[0045] The generation module 14 is configured to generate a troubleshooting task according to the received abnormal data, and the troubleshooting task includes several abnormal data;

[0046] The matching module 15 is configured to match several fault models corresponding to each abnormal data according to several abnormal data in the generated troubleshooting task;

[0047] The...

Embodiment 2

[0115] A fault location system based on model hit probability distribution provided in this embodiment is different from Embodiment 1 in that:

[0116] In the generating module, a troubleshooting task is generated according to the received abnormal data, and the troubleshooting task includes several abnormal data.

[0117] Match the parsed abnormal data with the system rule base, and if it hits the rule, generate a troubleshooting task; if there are multiple abnormal data that hit the same rule, record the number of hits.

[0118] A troubleshooting task may include multiple abnormal data, such as abnormal data 1, abnormal data 2, abnormal data 3, and so on.

[0119] When new abnormal data is generated in a troubleshooting task, it is necessary to first determine whether there is an unfinished troubleshooting task that is the same as the abnormal data or associated with the device (according to the configuration item number in the abnormal data and the CMDB record If there is ...

Embodiment 3

[0122] A fault location system based on model hit probability distribution in this embodiment differs from Embodiment 1 in that:

[0123] This embodiment illustrates by way of example the finally obtained fault demarcation probability in a certain troubleshooting task and the correction of the obtained fault demarcation probability.

[0124] 1. Fault model delimitation probability

[0125] The rule a corresponding to abnormal event 1 in a certain troubleshooting task is matched to fault models A, B, and C, where fault model A contains rule A (a, b, c), and fault model B contains rule (a, b) , Fault model C contains rules (a, c), then the activity of fault model A, fault model B, and fault model C increases by 1 each; when the b rule corresponding to the second abnormal event 2 appears, it matches Fault models A and B, at this time, the activity of fault model A and fault model B is increased by 1 respectively; when the c rule corresponding to the third abnormal event 3 appear...

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 fault positioning system and method based on model hit probability distribution, and relates to the fault positioning system. The system comprises: a building module which isused for building a fault model judgment rule base and a fault model base in advance; a receiving module which is used for receiving abnormal data; an analysis module which is used for analyzing thereceived abnormal data and matching the received abnormal data with the pre-created fault model judgment rule base; a generation module which is used for generating a troubleshooting task according tothe received abnormal data, wherein the troubleshooting task comprises a plurality of abnormal data; a matching module which is used for matching a plurality of fault models corresponding to the abnormal data according to the abnormal data in the generated troubleshooting task; a calculation module which is used for performing fault delimitation on the current troubleshooting task according to the plurality of matched fault models, and obtaining a delimitation probability through calculation; and a correction module which is used for confirming or correcting the obtained fault delimitation probability to obtain a final fault delimitation probability.

Description

technical field [0001] The invention relates to the technical field of fault analysis, in particular to a fault location system and method based on model hit probability distribution. Background technique [0002] With the continuous development of the information age, IT operation and maintenance has become an important part of the connotation of IT services. IT operation and maintenance management is one of the hottest topics in the IT industry nowadays. With the continuous deepening and improvement of IT construction, the operation and maintenance of computer hardware and software systems has become a common concern and overwhelmed problem for leaders of all walks of life and units and information service departments. Since this is a new topic arising with the in-depth application of computer information technology, how to carry out effective IT operation and maintenance management, the accumulation of knowledge and application technology in this area is still in its inf...

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 Patents(China)
IPC IPC(8): G06F11/07G06F11/26
CPCG06F11/079G06F11/26
Inventor 陈晓莉王俊纪坤鹏刘刚徐菁
Owner ZHEJIANG PONSHINE INFORMATION TECH CO LTD
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