首页> 外文OA文献 >Radio frequency identification for the measurement of overhead power transmission line conductors sag
【2h】

Radio frequency identification for the measurement of overhead power transmission line conductors sag

机译:用于测量架空输电线路导线的射频识别

摘要

This dissertation deals with the challenge of power utility in South Africa which is on proactive detection of fallen power line conductors and real time sagging measurement together with slipping of such conductors. Various methods which are currently used for sag detection were characterized and evaluated to the aim of the research. A mathematical reconstruction done to estimate the lowest point of the conductor in a span is presented. Practical simulations and application of radio frequency identification (RFID) for sag detection is attempted through matlab software. RFID radar system is then analyzed in different modes and found to give precision measurement for sag in real time as opposed to global positioning system (GPS) if one dimension of the tag assumed fixed on the power line. Lastly errors detected on the measurements are corrected using a trainable artificial neural network. A conclusion is made by making recommendations in the advancement of the research.
机译:本文针对南非电力公司的挑战,即主动检测跌落的电力线导体,实时下垂测量以及此类导体的打滑。为了研究的目的,表征和评估了当前用于下垂检测的各种方法。提出了一种数学重建方法,用于估算跨度中导体的最低点。通过matlab软件尝试了用于下垂检测的射频识别(RFID)的实际仿真和应用。然后,如果假定标签的一维固定在电力线上,则与全球定位系统(GPS)相比,RFID雷达系统将以不同的模式进行分析,并发现其可以实时精确地测量下垂。最后,使用可训练的人工神经网络校正在测量中检测到的误差。通过在研究进展中提出建议来得出结论。

著录项

  • 作者

    Hlalele Tlotlollo Sidwell;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号