Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An intelligent anomaly detection method and device for numerical data

Anomaly detection, numerical technology, applied in the field of anomaly detection, to achieve the effect of lowering the threshold of use, improving the efficiency of anomaly detection, and improving the effect of anomaly detection

Active Publication Date: 2022-05-06
ZHEJIANG LAB
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are many application scenarios for outlier detection, but currently there is no intelligent system or method that can automatically recommend anomaly detection solutions to users according to data conditions

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
  • An intelligent anomaly detection method and device for numerical data
  • An intelligent anomaly detection method and device for numerical data
  • An intelligent anomaly detection method and device for numerical data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the invention and are not intended to limit the scope of the present invention.

[0047] like figure 1 As shown, the intelligent anomaly detection method for numerical data of the present invention includes: uploading data stage, realizing data uploading, reading the header and reading data content of user uploaded data, and transferring the read content to the data pool ; In the data pool stage, data storage and data comparison are realized; in the algorithm pool stage, the system intelligently recommends a variety of anomaly detection algorithms suitable for the current data; in the algorithm result integration stage, the calculation results of each algorithm are summarized and the final calculation results are obtained; In the outlier judgment stage, the outlier judgment method can be independently sel...

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 intelligent anomaly detection method and device for numerical data. The method includes: a data uploading stage to realize data uploading; a data pool stage to realize data storage and data comparison; an algorithm pool stage to realize system intelligence Recommend a variety of anomaly detection algorithms suitable for the current data; in the algorithm result integration stage, the calculation results of each algorithm are summarized and the final calculation results are obtained; in the outlier judgment stage, the outlier judgment method is independently selected and the judgment is made; the detection results are visualized stage, realize visualization and intuitive display of data, especially abnormal points. The invention innovatively proposes intelligent auxiliary algorithm recommendation, algorithm result integration, and intelligent judgment of abnormal points and applies them to the system, which greatly simplifies user operations and helps users obtain more accurate and easy-to-observe abnormalities in less time Test results.

Description

technical field [0001] The invention relates to the field of anomaly detection, in particular to an intelligent anomaly detection method and device for numerical data. Background technique [0002] Anomaly detection is the process of detecting objects with characteristics or behaviors different from expected from a given data set, which are called anomalies or outliers. There are many application scenarios for outlier detection, but there is no intelligent system or method that can automatically recommend anomaly detection solutions to users according to data conditions. Contents of the invention [0003] Aiming at the deficiencies in the prior art, the present invention provides an intelligent anomaly detection method for numerical data, comprising the following steps: [0004] Step 1: In the data upload stage, read the header of the data uploaded by the user to obtain the data content; [0005] Step 2: Compare the data uploaded in Step 1 with the data in the data pool,...

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): G06F11/07G06K9/62G06N3/04G06N3/08G06T11/20
CPCG06F11/0751G06T11/206G06N3/04G06N3/08G06F18/24
Inventor 张吉李晓晨陆陈昊许增辉陈奕铮姜婷严嘉琪
Owner ZHEJIANG LAB
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com