Unlock instant, AI-driven research and patent intelligence for your innovation.

Data abnormity prediction method and system

A technology of data anomalies and prediction methods, applied in the field of IT intelligent operation and maintenance, can solve problems such as hazards, late data alarms, failures, etc., to achieve the effects of promoting economic development, ensuring normal operation and maintenance, and reducing operation and maintenance costs

Pending Publication Date: 2021-10-22
SHENZHEN POWER SUPPLY BUREAU
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the process of operation and maintenance, success in many cases depends on the comprehensive performance of the parameter integration collected by the system, rather than the breakthrough of a single technology, especially in big data prediction, often due to external factors. There are abnormalities in normal operation and maintenance and forecasting, which lead to failures and affect the normal operation and maintenance of the system. At the same time, it is impossible to know the abnormal problems at the first time, or the important data is sent to the police late, which brings great harm and makes it impossible to satisfy users. high-quality requirements, but also cannot meet the efficiency of operation and maintenance

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
  • Data abnormity prediction method and system
  • Data abnormity prediction method and system
  • Data abnormity prediction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The following descriptions of various embodiments refer to the accompanying drawings to illustrate specific embodiments in which the present invention can be implemented.

[0044] Please refer to figure 1 As shown, Embodiment 1 of the present invention provides a data anomaly prediction method, including:

[0045] Step S101, establishing an interactive prompt engine program, and distributing the queues of the interactive prompt engine program in each application;

[0046] Step S102, obtain the prediction data of each application in real time through the queue of the interactive prompt engine program, and perform anomaly detection through the collected prediction data;

[0047] Step S103, when it is determined that the predicted data is abnormal, determine the importance level of the business index corresponding to the predicted data;

[0048] Step S104, according to the importance level of the business index corresponding to the forecast data, report the abnormal situ...

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 data abnormity prediction method and system. A set of interaction prompt engine program is independently designed, the queue of the interaction prompt engine program is respectively in each application, and, through the queue of the interaction prompt engine program, prediction data of each application can be obtained in real time, and anomaly detection can be carried out on the prediction data, so that the abnormity of the prediction data of each application can be monitored in real time; and the alarm is given at the first time according to the intensity of the abnormality, so that important data is not given at night, a problem link can be timely positioned, workers can timely process conveniently, normal operation and maintenance of the data can be ensured, and the operation and maintenance efficiency of an enterprise information system is improved.

Description

technical field [0001] The invention belongs to the technical field of IT intelligent operation and maintenance, and in particular relates to a data anomaly prediction method and system. Background technique [0002] In recent years, the degree of digitalization and intelligence of enterprises has achieved unprecedented development. Not only has the IT scale been significantly improved compared to before, but the current enterprise information system construction is also increasing, which has also triggered a series of problems while developing. Troubled, the continuous upgrading and improvement of the communication system will undoubtedly increase the difficulty and complexity of operation and maintenance. Constructing a reasonable and scientific management and operation platform is an urgent problem for electric power enterprises. Through the construction of an integrated operation and maintenance system, on the basis of its technical framework, combined with the actual s...

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): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06G06Q50/06
Inventor 冷迪陈瑞黄建华
Owner SHENZHEN POWER SUPPLY BUREAU