Power equipment fault defect entity relationship extraction method and device

An entity relationship, fault defect technology, applied in the field of machine learning, can solve problems such as low extraction accuracy and too much interference data

Active Publication Date: 2021-09-14
GUANGDONG POWER GRID CO LTD +1
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the above method deals with larger data, the larger the data set, the more interference data there will be, which will result in lower extraction accuracy.

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
  • Power equipment fault defect entity relationship extraction method and device
  • Power equipment fault defect entity relationship extraction method and device
  • Power equipment fault defect entity relationship extraction method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0052] It should be understood that the step numbers used herein are only for convenience of description, and are not intended to limit the execution order of the steps.

[0053] It should be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in this specification and the appended claims, the singular forms "a", "an"...

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 power equipment fault defect entity relationship extraction method and device, and the method comprises the steps: obtaining a defect text of power equipment, and carrying out the preprocessing of the defect text, and obtaining standardized text data; performing semantic analysis processing on the standardized text data according to a language technology platform tool to obtain second standardized text data; constructing a relation feature vector of an entity pair, and constructing a machine learning classification model based on the relation feature vector according to the relation feature vector; inputting the second standardized text data into a machine learning classification model based on the relation feature vector, and training to obtain a relation classification model of the entity pair; and inputting preset test text data into the relation classification model to obtain an extraction result of the entity relation. According to the method, the fault defect entity relation of the defect text of the power equipment can be extracted, and the data volume of invalid information can be reduced while the extraction efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of machine learning, in particular to a method, device, terminal and storage medium for extracting fault defect entity relations of electric equipment. Background technique [0002] The continuous expansion of the power system is often accompanied by the occurrence of various fault phenomena. The overhaul and maintenance of the power system has accumulated a large number of failure cases, which are usually recorded in text form by the power patrol personnel on site, including maintenance experiment records, equipment failure problem descriptions, equipment defect elimination cases, and failure cause analysis descriptions. Equipment-related semi-structured and unstructured text data account for more than 80% of the entire power field. Extracting the fault defect entity relationship from the text data is of great significance for making full use of key fault characteristics such as rich fault problem ...

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): G06F16/35G06F16/28G06F40/30G06N20/00G06Q10/00G06Q50/06
CPCG06F16/355G06F40/30G06F16/288G06N20/00G06Q10/20G06Q50/06
Inventor 陈鹏黄杨珏邰彬吕鸿汪进锋金杨姚瑶
Owner GUANGDONG POWER GRID 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap