Deep-learning-based high-voltage transmission line galloping early-warning system

A high-voltage transmission line, deep learning technology, applied in measuring devices, instruments, measuring ultrasonic/sonic/infrasonic waves, etc., can solve problems such as aggravating wire sag

Inactive Publication Date: 2017-09-12
GUANGDONG UNIV OF TECH
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Overweight equipment fixed on the transmission line will inevitably increase the sag of the wire, which will bring some new negative effects to the transmission line

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
  • Deep-learning-based high-voltage transmission line galloping early-warning system
  • Deep-learning-based high-voltage transmission line galloping early-warning system
  • Deep-learning-based high-voltage transmission line galloping early-warning system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0012] Refer to the attached figure 1 , a high-voltage transmission line galloping early warning system based on deep learning, including the following parts:

[0013] figure 1 It is the frame diagram of the whole system, and the front-end equipment mainly includes power supply system, infrared camera, and 4G network transmission module. The power supply system mainly consists of solar panels, small fans and lithium batteries. The infrared camera and 4G network module are powered by the power supply system. The background adopts the C / S structure. The fixed IP host in the monitoring room is the server, and the personal computer or mobile phone APP of the line maintenance personnel is the client. The picture information collected on site is transmitted to the background server through the operator’s network. The server predicts and judges the transmitted pictures through the trained deep convolutional neural network. If the judgment result is abnormal, it will send an early w...

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 relates to a deep-learning-based high-voltage transmission line galloping early-warning system. The system is composed of a power supply system module, an infrared camera module, and a 4G network transmission module. With a deep convolution neural network method, direct contact with a transmission line during installation can be avoided and all transmission line galloping monitoring problems under the same algorithm frame can be solved. The system is capable of realizing an early warning effect; the line maintenance staff can be informed in advance before power supply fault occurrence and thus can carry out maintenance rapidly, so that the power supply accident can be avoided.

Description

technical field [0001] The invention relates to the technical fields of computer vision and high-voltage power transmission, in particular to a high-voltage transmission line galloping early warning system and method based on deep learning. Background technique [0002] In recent years, my country has been affected by a wide range of low temperature, rain, snow, hail and other severe weather. The transmission lines in many provinces have experienced large-scale ice-covered dancing. Accidents of different levels, such as insulator collision rupture, tower structure damage, tower collapse, etc., have caused serious disasters to the power grid. In recent years, with breakthroughs in the theory of deep learning, artificial intelligence has also achieved rapid development. We can also use methods in the field of artificial intelligence to solve the problem of power transmission lines, that is, methods based on deep convolutional neural networks. The currently popular methods for ...

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
IPC IPC(8): G01H9/00
CPCG01H9/00
Inventor 刘怡俊蔡路
Owner GUANGDONG UNIV OF TECH
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