基于人体关节点和点云配准的人员近电作业安全距离监测方法

吴清华; 郭建龙; 熊山; 周青云; 夏爽; 王磊

doi:10.13296/j.1001-1609.hva.2026.05.027

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基于人体关节点和点云配准的人员近电作业安全距离监测方法

技术讨论 | 更新时间：2026-05-13

- 基于人体关节点和点云配准的人员近电作业安全距离监测方法
- Safety Distance Monitoring Method for Personnel Live Working Based on Human Joint Point and Point Cloud Registration
- 高压电器 2026年62卷第5期页码：227-236
- 作者机构：
  
  广东电网有限责任公司培训与评价中心，广州 510520
  武汉新电电气股份有限公司，武汉 430073
- 作者简介：
  
  吴清华（1975—），男，博士，高级经济师，主要研究方向为电力培训评价等（E-mail：2862566025@qq.com）。
  郭建龙（1982—），男，博士，教授级高级经济师，主要研究方向为电力虚拟仿真、电力数字孪生和人工智能应用等（E-mail：guojl5103@163.com）。
  熊山（1985—），男，硕士，高级工程师，主要研究方向为电力数字孪生和虚拟仿真培训等（E-mail：286180177@qq.com）。
  周青云（1985—），女，硕士，高级工程师，主要研究方向为在线教育等（E-mail：289476198@qq.com）。
  夏爽（1984—），女，硕士，工程师，主要研究方向为网络培训等（E-mail：34144657@qq.com）。
  王磊（1989—），男，本科，助理工程师，主要研究方向为电力虚拟仿真、人工智能应用等（通信作者）（E-mail：18571717671@163. com）。
- 基金信息：
  
  南方电网公司科技项目资助;Science and Technology Project of China Southern Power Grid Company Limited(038700KK52190007)
- DOI：10.13296/j.1001-1609.hva.2026.05.027
  中图分类号：
- 收稿：2025-11-26，
  
  修回：2026-01-10，
  
  纸质出版：2026-05-16
- 稿件说明：
移动端阅览
吴清华, 郭建龙, 熊山, 等. 基于人体关节点和点云配准的人员近电作业安全距离监测方法[J]. 高压电器, 2026,62(5):227-236.

WU Qinghua, GUO Jianlong, XIONG Shan, et al. Safety Distance Monitoring Method for Personnel Live Working Based on Human Joint Point and Point Cloud Registration[J]. High Voltage Apparatus, 2026, 62(5): 227-236.
吴清华, 郭建龙, 熊山, 等. 基于人体关节点和点云配准的人员近电作业安全距离监测方法[J]. 高压电器, 2026,62(5):227-236. DOI： 10.13296/j.1001-1609.hva.2026.05.027.

WU Qinghua, GUO Jianlong, XIONG Shan, et al. Safety Distance Monitoring Method for Personnel Live Working Based on Human Joint Point and Point Cloud Registration[J]. High Voltage Apparatus, 2026, 62(5): 227-236. DOI： 10.13296/j.1001-1609.hva.2026.05.027.

摘要

受电力作业场景环境复杂且作业人员易被遮挡等因素的影响，基于目标检测与定位的距离检测方法难以满足防触电安全距离监测的实际需求。因此，文中提出了一种基于人体关节点和点云配准的人员近电作业安全距离监测方法。该方法首先针对AlphaPose中两阶段目标检测方法速度慢、姿态参数确定效率低及泛化性差的问题，采用YOLOv8替换原有人员目标检测模块，并提出参数姿态非极大值抑制方法来进行姿态参数的快速确定，进而采用改进后的人体姿态估计网络对输入图像进行作业人员快速目标检测和人体姿态估计，得到作业人员目标检测框及关节点位置信息；然后将作业人员关节点数据与作业场景点云数据进行配准融合获取含有作业人员空间位置信息的点云；最后利用作业人员关节点与带电设备的空间位置信息计算安全距离，实现作业人员近电作业安全距离的实时监测与预警。测试结果表明，文中所提出的基于YOLOv8-s和改进AlphaPose的人体姿态估计方法的精度、速度分别达到87.03%、22.88 FPS。应用案例表明，文中方法对作业人员进行近电作业安全距离监测最大误差仅为88.70 mm且平均推理时间为61.20 ms，满足电力作业过程人员触电安全风险管控的实际要求。文中方法可广泛应用于电力作业或其他场景人员作业过程安全监测等领域。

Abstract

The distance detection mathods based on object detection and localization are hard to meet the practical requirements of anti-electric shock safety distance monitoring due to the factors sch as the complex environment of power operation scenarios and the fact that workers are easily onstructed.Therefore

a safety distance monitoring method for human anti-electric shock based on human joint point and point cloud registration is proposed in this paper. As for such issues as low speed

low efficiency of pose parameter determination and weak generalization of the two-stage object detection method in AlphaPose

in this method the VOLOv8 is adopted to replace the original human detection module

and a parametric pose non-maximum suppression methos is proposed to rapidly determine pose parameters. Furthermore

an improved human pose estimatino network is used to perform fast worker detection and human pose estimation in the input image

thereby obtaining the worker's detection bounding box and joint point position information. Then

the data of human joints and scene point cloud are fused to obtain the point cloud containing the spatial location information of workers. Finally

the safe distance is calculated by using the spatial location information of the human joints and the live equipment to achieve the real-time monitoring and early warning of operator's safe distance. The test results show that the accuracy and speed of the human pose estimation method proposed based on YOLOv8-s and improved AlphaPose are up to 87.03% and 22.88 FPS respectively.The application cases show that the method proposed in this paper achieves a maximum error of only 88.70 mm and an average inference time of 61.20 ms for monitoring the safe distance of personnelworking near electricity

meeting the practical requirements for managing the risk of electric shock to personnel during power operations.

关键词

Keywords

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