期刊文献+

智能型红外在线监控系统在无人值守变电站中的应用 被引量:4

Application of the Intelligent Infrared Online Monitoring System in the Self-serivce Substation
下载PDF
导出
摘要 介绍了智能型红外在线监控系统的特点、功能、结构及其在智能电网无人值守变电站中的应用,该系统可自动完成设备故障报警、录像、报告生成以及控制智能监控预警等工作,可将与温度有关的设备维护工作从预防性人工检修提升到预知性无损检测,能提高设备故障的处理速度,减轻运行维护人员的工作强度,节约设备维护成本。该技术的应用可提高电网运行的可靠性和智能化水平。 The article introduces the features, functions and structures of the intelligent infrared online monitoring system and its application in the self-service substation. The system can automatically complete the equipment failure alarming, video-taping, report generation, and control intelligent monitoring and early warning, so that the maintenance of the temperature-related equipment can be upgraded from the preventive manual maintenance manual operation to the foreseeable non-destructive monitoring. The system helps to improve the processing speed, reduce the operation and maintenance intensity and save the maintenance cost. The wide use of this technology can enhance the operation reliability and intelligent level of the power grid.
作者 夏宾 夏照国
机构地区 日照供电公司
出处 《供用电》 2013年第4期63-67,共5页 Distribution & Utilization
关键词 智能电网 无人值守变电站 网络智能技术 红外测温技术 红外在线监控系统 smart grid self-service substation Network Intelligence Technology infrared temperature measurementtechnology infrared online monitoring system
  • 相关文献

参考文献7

二级参考文献22

共引文献39

同被引文献40

  • 1周智勇.利用智能视觉物联网构建机场周界报警系统[J].中国公共安全,2012(9):162-165. 被引量:4
  • 2何洪英,姚建刚,王玲.一种基于Bayes估计的小波自适应绝缘子红外图像去噪方法[J].电工技术学报,2006,21(1):37-41. 被引量:17
  • 3蒋伟,王志强,吴立文.远程图像监控系统在无人值守变电站的应用[J].电力设备,2006,7(4):60-62. 被引量:10
  • 4成永红,陈玉,孟永鹏,阴玮,郭亮,任欢,季霖烈,李沛准,周彬.变电站电力设备绝缘综合在线监测系统的开发[J].高电压技术,2007,33(8):61-65. 被引量:30
  • 5张启清.电力变压器故障诊断专家系统的研究[D].重庆:雨庆大学,2012.
  • 6Chew V C S, Lian Fengli. Panorama stitching using over- lap area weighted image plane projection and dynamic pro- gramming for visual localization [ C ]// 2012 IEEE/ASME International Conference on Advanced Intelligent Meeha- tronics(AIM). 2012:250-255.
  • 7Lowe D G. Distinctive image features from seale-invariantkeypoints[ J ]. International Journal of Computer Vision, 2004,60(2) :91-110.
  • 8Liu Haifeng, Deng M, Xiao Chuangbai. An improved bes! bin firs! algorithm for fast image registration [ C l// 2011 International Conference on Electronic and Mechallical En- gineering and Information Technology(EMEIT). 2011, I 355 -358.
  • 9Brown M, Lowe D G. Recognising panoramas [ C 1// Pro- ceedings of the 9th IEEE International Conference on Com- puter Vision. 2003,2:1218-1225.
  • 10江同戚.基于红外}j可见光图像配准的电力设备检测系统研究与应用[D].合肥:安徽大学,2014.

引证文献4

二级引证文献49

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部