An Intelligent On-Line Inspection and Warning System Based on Infrared Image for Transformer Bushings

被引：10

作者：

Zhao, Zhenbing ^{[1
]}

Xu, Guozhi ^{[1
]}

Qi, Yincheng ^{[1
]}

Pan, Defeng ^{[2
]}

机构：

[1] North China Elect Power Univ, Sch Elect & Elect Engn, Baoding, Peoples R China

[2] North China Elect Power Univ, Sch Control & Comp Engn, Baoding, Peoples R China

来源：

RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING | 2016年 / 9卷 / 01期

基金：

中国国家自然科学基金;

关键词：

BRISK; infrared image; object recognition; on-line monitoring; transformer bushing;

D O I：

10.2174/2352096508666150826202726

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents an on-line inspection and warning system based on infrared image to detect the thermal fault of transformer bushings in the early stage. The network infrared thermal imager combined with the omnidirectional PTZ platform is the key device for the surveillance task. BRISK (Binary Robust Invariant Scalable Keypoints) algorithm is applied for the automatic object recognition and localization. In addition, the software based on B/S architecture is designed and realized for remote data transmission, so the remote users can acquire the real-time information through the private network. This system realizes the remote, real-time online monitoring and analyzing of transformer bushings, the comparison results validate the accuracy and efficiency of the recognition method, and the evaluations of the measured data verify the practicability of the system in the 110kV substation.

引用

页码：53 / 62

页数：10