Spatial Positioning and Regional Intrusion Monitoring Method Based on 3D Real Scene Model of Converter Station

Weiming Li, Yaohui Xiao, S. He, An Chang, Zhenzhen Zhou, Hua-shan Huang, G. Zhao
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引用次数: 0

Abstract

At present, the converter station mainly monitors regional intrusion through manual inspection, which has low monitoring efficiency and is prone to mistakes, which can not ensure the security of key areas of the converter station. In view of the above problems, a spatial positioning and regional intrusion monitoring method based on the three-dimensional real scene model of the converter station is proposed. The three-dimensional real scene model of converter station is constructed by ANSYS modeling method; Based on the three-dimensional real scene model, locate the three-dimensional warning space; Target tracking algorithm is used to monitor intrusion characters. The experimental results show that for five intrusion events, the average deviation of monitoring is always less than 1.675m, the deviation of positioning warning space is small, and has better spatial positioning effect; The highest missed detection rate and the highest false detection rate are not more than 1%, and the monitoring accuracy is high; The overall average monitoring time is 0.53s, which improves the monitoring efficiency and ensures the safety of key areas of the converter station.
基于换流站三维实景模型的空间定位与区域入侵监控方法
目前换流站主要通过人工巡检的方式监控区域入侵,监控效率低,容易出错,无法保证换流站关键区域的安全。针对上述问题,提出了一种基于换流站三维实景模型的空间定位与区域入侵监测方法。采用ANSYS建模方法建立换流站的三维实景模型;基于三维真实场景模型,定位三维预警空间;采用目标跟踪算法对入侵特征进行监控。实验结果表明,对于5次入侵事件,监测的平均偏差始终小于1.675m,定位预警空间偏差较小,具有较好的空间定位效果;最高漏检率和最高虚检率均不大于1%,监测准确率高;总体平均监测时间为0.53s,提高了监测效率,保证了换流站重点区域的安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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