Efficient matching technique for laser detection features of cable cutting traces

PAN Nan; SUN Ya-jun; LIU Yi

doi:10.3788/OPE.20172513.0183

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Efficient matching technique for laser detection features of cable cutting traces

更新时间：2020-08-13

- Efficient matching technique for laser detection features of cable cutting traces
- Optics and Precision Engineering Vol. 25, Issue 10s, Pages: 183-190(2017)
- 作者机构：
  
  1. 昆明理工大学航空学院,云南昆明,650500
  2. 昆明理工大学机电工程学院,云南昆明,650500
  3. 昆明信诺莱伯科技有限公司,云南昆明,650228
  4. 瑞典布莱京厄理工大学卡尔斯克鲁纳 S,37179
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20172513.0183
  CLC： TH-39;TN911.72;TP391.41
- Received：08 May 2017，
  
  Revised：29 June 2017，
  
  Published：25 November 2017
- 稿件说明：
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潘楠, 孙亚军, 刘益. 线缆盗割痕迹的激光检测特征高效匹配[J]. 光学精密工程, 2017,25(10s): 183-190

PAN Nan, SUN Ya-jun, LIU Yi. Efficient matching technique for laser detection features of cable cutting traces[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 183-190
潘楠, 孙亚军, 刘益. 线缆盗割痕迹的激光检测特征高效匹配[J]. 光学精密工程, 2017,25(10s): 183-190 DOI： 10.3788/OPE.20172513.0183.

PAN Nan, SUN Ya-jun, LIU Yi. Efficient matching technique for laser detection features of cable cutting traces[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 183-190 DOI： 10.3788/OPE.20172513.0183.

摘要

线缆盗割案件案发现场遗留的断头承痕面上存在着大量线条痕迹，其往往呈现非线性形态特征，随机性较强。为了更快速地进行痕迹特征匹配及所属工具推断，设计出一种盗割痕迹激光检测特征高效匹配技术：首先利用K-Means聚类对单点激光位移传感器检测断头表面拾取的一维信号进行异常数据修正，随后进行旋转角度自适应矫正以统一匹配基准，最后使用基于阈值序列的匹配策略实现痕迹特征相似重合度匹配，从而实现对应工具快速推断。最终通过实际痕迹推断钳剪工具试验验证了本技术的实用性和有效性。

Abstract

A lot of line traces on the bearing surface of broken ends which usually present nonlinear morphological features and have strong randomness were left in the crime scene of cable cutting case. In order to implement trace feature matching and affiliated tool inference more rapidly

an efficient matching technique for laser detection features of cable cutting traces was designed:K-Means clustering was used to implement abnormal data correction for 1-D signals picked up on the surface of broken ends detected by single-point laser displacement sensor firstly

and then self-adaptation correction of rotation angle was implemented to unify matching datum. Finally

matching strategy based on threshold sequences was used to realize overlap ratio matching of trace feature similarity

thus realizing quick inference of corresponding tools

and cutting tool interference experiment by actual traces verifies practicability and effectiveness of the technique.

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Keywords

references

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王炳成,景畅,任朝晖,等. 剪切痕迹表面分维数的结构函数法计算及其应用[J]. 中国人民公安大学学报, 2004, 39(1):4-6. WANG B CH, JING CH, REN CH H. Calculation of fractal dimension of shear traces by structural function method and its application[J]. Journal of People's Public Security University of China(Science and Technology), 2004, 39(1):4-6.

潘楠,伍星,刘益,等. 线性痕迹激光检测信号自适应匹配算法研究[J]. 仪器仪表学报,2015,36(6):1372-1380. PAN N, WU X, LIU Y, et al.., Research on the adaptive matching algorithm for laser linear mark detection signals[J]. Chinese Journal of Scientific Instrument, 2015,36(6):1372-1380. (in Chinese)

孙亚军,潘楠,刘益. 剪切痕迹激光检测信号溯源系统的设计与实现[J]. 光学精密工程,2016,24(10):690-700. SUN Y J, PAN N, LIU Y. Design and realization of laser detection signal traceability system with shearing trace[J]. Opt. Precision Eng., 2016,24(10):690-700. (in Chinese)

YI Z G, PAN N, LIU Y, et al.. Study of laser displacement measurement data abnormal correction algorithm. Engineering Computations, 2017, 34(1):123-133.

PAN N, YI Z G, LIU Y. Adaptive matching algorithm for laser detection signals of linear cutting tool marks. IET Signal Processing, 2017, 11(4):354-371.

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Design and realization of laser detection signal traceability system with shearing trace

Related Author

SUN Ya-jun

PAN Nan

LIU Yi

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College of Mechanical and Electrical Engineering, Kunming University of Science and Technology

Key Laboratory of Vibration and Noise under Ministry of Education of Yunnan Province

Kunming Xinnuo LaiboTechnology Co. Ltd.

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