Fault monitoring analysis method based on AIOps intelligent operation center
A technology of fault monitoring and analysis methods, which is applied in hardware monitoring, error detection/correction, instruments, etc., can solve problems such as inability to obtain fault content intuitively, and achieve the goals of improving application versatility, shortening time cost, and reducing time cost Effect
Active Publication Date: 2022-06-17
北京国信网联科技有限公司
View PDF5 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] To this end, the present invention provides a fault monitoring and analysis method based on the AIOps intelligent operation center to overcome the problem that the fault content cannot be intuitively obtained in the prior art
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0047] In order to make the purpose and advantages of the present invention clearer, the present invention will be further described below with reference to the embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention, and are not intended to limit the present invention.
[0048] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.
[0049] It should be noted that, in the description of the present invention, the terms “upper”, “lower”, “left”, “right”, “inner”, “outer” and other terms indicated in the direction or the positional relationship are based on the drawings. The direction or positional relationship shown is only ...
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
Login to View More Abstract
The invention relates to the technical field of fault analysis, in particular to a fault monitoring analysis method based on an AIOps intelligent operation center, which comprises the following steps of: s1, respectively connecting a detection unit with each component in an analysis unit and a transmission unit; the analysis module analyzes the data detected by the detection unit to judge whether the running state of the transmission unit is normal or not, the analysis module analyzes the data further detected by the detection unit to judge the specific reason for abnormal running of the transmission unit, and the analysis module analyzes the data further detected by the detection unit to judge the specific reason for abnormal running of the transmission unit. And the display module displays the analysis result of the analysis module in a visual form. According to the method, after massive faults are detected, the fault contents are discriminated through an algorithm, the fault types are subjected to statistical analysis, and the fault contents are displayed in a visual chart form after analysis is completed, so that personnel can perform centralized maintenance processing on important faults, the time cost of operation and maintenance by the personnel is reduced, and the working efficiency of the personnel is improved. And the operation and maintenance efficiency of enterprises is improved.
Description
technical field [0001] The invention relates to the technical field of fault analysis, in particular to a fault monitoring and analysis method based on an AIOps intelligent operation center. Background technique [0002] AIOps, namely AI+Operations, can be intuitively understood as a technology that uses AI to solve operation and maintenance problems. AI is a complex process in which machines simulate human behavior; by extension, AIOps can be defined as "any computer technology that simulates the behavior of operation and maintenance personnel"; based on expert knowledge, expert experience, automation, deep learning in the field of operation and maintenance, Artificial intelligence technology based on some combination of them can be called AIOps. [0003] Chinese Invention Patent Publication No. CN106951465A discloses a data analysis method and device for system fault location. The method includes: acquiring online data and offline data, determining indicators in differen...
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
Login to View More IPC IPC(8): G06F11/30G06F11/32
CPCG06F11/302G06F11/3055G06F11/324
Inventor 詹越张倚榕
Owner 北京国信网联科技有限公司