滤波新算法消除机械抖动在激光幕墙探测中的应用

卢胤; 江乐岩; 黄云天; 唐自强; 何鹏; 周铭昊; 朱旭; 吴小山

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滤波新算法消除机械抖动在激光幕墙探测中的应用

激光技术及应用 | 更新时间：2026-05-20

- 滤波新算法消除机械抖动在激光幕墙探测中的应用
- Application of a novel filtering algorithm to eliminate mechanical vibration in laser curtain detection
- 光学技术 2026年52卷第3期页码：332-340
- 作者机构：
  
  1.国网江苏省电力有限公司建设分公司，江苏南京 210000
  2.南通南京大学材料工程研究院，江苏南通 226019
- 作者简介：
  
  卢胤（1980.6— ），男，高级工程师，从事500kV及以上输变电工程建设安全技术研究。13505158530@139.com
  吴小山（1964— ），男，教授，博士生导师，从事材料结构表征与薄膜太阳电池技术开发研究。xswu@nju.edu.cn
- 基金信息：
  
  本工作得到国网江苏省电力有限公司科技项目“基于立体激光幕墙技术的入侵报警装置研制及快速部署应用研究”的支持(J2024127)
- DOI：
  中图分类号： TK83
- 收稿：2025-11-14，
  
  修回：2026-02-17，
  
  纸质出版：2026-05-20
- 稿件说明：
移动端阅览
卢胤,江乐岩,黄云天等.滤波新算法消除机械抖动在激光幕墙探测中的应用[J].光学技术,2026,52(03):332-340.

LU Yin,JIANG Leyan,HUANG Yuntian,et al.Application of a novel filtering algorithm to eliminate mechanical vibration in laser curtain detection[J].OPTICAL TECHNIQUE,2026,52(03):332-340.
卢胤,江乐岩,黄云天等.滤波新算法消除机械抖动在激光幕墙探测中的应用[J].光学技术,2026,52(03):332-340. DOI：

LU Yin,JIANG Leyan,HUANG Yuntian,et al.Application of a novel filtering algorithm to eliminate mechanical vibration in laser curtain detection[J].OPTICAL TECHNIQUE,2026,52(03):332-340. DOI：

摘要

噪声、扰动和机械振动导致激光幕墙偏离光扫描平面，影响安防检测效果。为提高激光幕墙探测系统的稳定性与精度，采用数学补偿方法进行处理。通过仿真研究，发现高斯滤波计算快捷，在光滑曲面的处理效果较好；小波滤波计算耗时，但在曲面突变处理上更为有效。为此，提出一种新的数学处理策略：在激光幕墙光面突变处使用小波滤波进行棱角区域补偿，保留边缘曲面特征，并结合高斯滤波对整体信号进行平滑。实验结果验证了该方法的有效性，成功融合了两种滤波器的优势，显著提高了系统的稳定性和探测精度。

Abstract

Noise

disturbances

and mechanical vibrations cause the laser curtain wall to deviate from the optical scanning plane

significantly affecting the security detection performance. To improve the stability and accuracy of the laser curtain wall detection system

mathematical compensation methods are used for processing. Simulation studies show that Gaussian filtering is fast and effective for smooth surfaces

while wavelet filtering is time-consuming but more effective in handling surface discontinuities. Therefore

a new mathematical processing strategy is proposed: wavelet filtering compensates for the edge regions of the laser curtain wall surface

preserving the edge curvature

and Gaussian filtering is applied for overall signal smoothing. Experimental results validate the effectiveness of this method

successfully integrating the advantages of both filters and significantly improving the system's stability and detection accuracy.

关键词

Keywords

references

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