防止恶意无人机入侵电力巡检区的管控方法

王鹏; 郝小龙; 朱耀康; 杨光; 崔漾; 彭启伟; 何道敬

doi:10.11959/j.issn.2096-109x.2018052

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防止恶意无人机入侵电力巡检区的管控方法

论文 | 更新时间：2024-06-03

- 防止恶意无人机入侵电力巡检区的管控方法
- Control method to prevent malicious UAV intrusion into electricity inspection area
- 网络与信息安全学报 2018年4卷第6期页码：70-76
- 作者机构：
  
  1. 南瑞集团公司（国网电力科学研究院），江苏南京 211106
  2. 华东师范大学计算机科学与软件工程学院，上海 200062
- 作者简介：
  
  [ "王鹏（1981-），男，江苏盐城人，南瑞集团公司工程师，主要研究方向为电力系统自动化。" ]
  [ "郝小龙（1984-），男，山西人，硕士，南瑞集团公司高级工程师，主要研究方向为电力系统自动化及音视频图像处理。" ]
  [ "朱耀康（1991-），男，江苏无锡人，华东师范大学硕士生，主要研究方向为无人机安全。" ]
  [ "杨光（1994-），男，山东济宁人，华东师范大学硕士生，主要研究方向为无人机安全。" ]
  [ "崔漾（1991-），男，山西人，硕士，南瑞集团公司工程师，主要研究方向为数字图像处理。" ]
  [ "彭启伟（1984-），男，江苏人，硕士，南瑞集团有限公司高级工程师，主要研究方向为信号与信息处理。" ]
  [ "何道敬（1985-），男，海南澄迈人，博士，华东师范大学教授、博士生导师，主要研究方向为网络空间安全。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(51477056)
- DOI：10.11959/j.issn.2096-109x.2018052
  中图分类号： TP309.1
- 网络首发：2018-06，
  
  纸质出版：2018-06-15
- 稿件说明：
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王鹏, 郝小龙, 朱耀康, 等. 防止恶意无人机入侵电力巡检区的管控方法[J]. 网络与信息安全学报, 2018,4(6):70-76.

Peng WANG, Xiaolong HAO, Yaokang ZHU, et al. Control method to prevent malicious UAV intrusion into electricity inspection area[J]. Chinese Journal of Network and Information Security, 2018, 4(6): 70-76.
王鹏, 郝小龙, 朱耀康, 等. 防止恶意无人机入侵电力巡检区的管控方法[J]. 网络与信息安全学报, 2018,4(6):70-76. DOI： 10.11959/j.issn.2096-109x.2018052.

Peng WANG, Xiaolong HAO, Yaokang ZHU, et al. Control method to prevent malicious UAV intrusion into electricity inspection area[J]. Chinese Journal of Network and Information Security, 2018, 4(6): 70-76. DOI： 10.11959/j.issn.2096-109x.2018052.

摘要

在电力巡检工作中，巡检方法逐渐从原先的人工巡检，升级为无人机智能巡检。然而，恶意无人机入侵电力巡检工作区域，会给电厂的生产带来诸多安全问题。针对电子围栏技术在管控恶意无人机时缺乏实时性、灵活性以及管控避障效果差等问题，提出了一种防止恶意无人机入侵电力巡检区的管控方法，并通过实验验证了该方法使电力巡检区对无人机有高效的管控性能。

Abstract

In recent years

the exploitation and deployment of UAV (unmanned aerial vehicle) has grown rapidly.The number of UAV is increasing and it is becoming more and more important in many areas.For example

the power inspection method has be upgraded from the original manual inspection to unmanned intelligent inspection.However

malicious UAV intrude on the power patrol work area and also bring about safety problems to the power plant's production.Because the electronic fence technology (geo-fencing) lacks the real time and flexibility when it controls the UAV

a novel control method to prevent malicious UAV from invading the power inspection area is proposed.The experimental results demonstrate the effectivity of our proposed method.

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references

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