现代制造工程 ›› 2025, Vol. 540 ›› Issue (9): 122-130.doi: 10.16731/j.cnki.1671-3133.2025.09.016

• 仪器仪表/检测/监控 • 上一篇    下一篇

基于多置信度的硅棒表面瑕疵检测系统

周双, 马明学, 王春力, 郝洪涛, 丁文捷   

  1. 宁夏大学机械工程学院,银川 750021
  • 收稿日期:2024-11-05 出版日期:2025-09-18 发布日期:2025-09-23
  • 通讯作者: 丁文捷,硕士,教授,主要研究方向为过程装备、控制技术及制造业信息化。E-mail:dwjnet@nxu.edu.cn。
  • 作者简介:周双,硕士研究生,主要研究方向为故障检测及智能运维。E-mail:13474332063@163.com。
  • 基金资助:
    国家重点研发计划项目(BX2024B029);宁夏回族自治区重点研发计划项目(2023BDE03005)

Multi-confidence based surface defect detection system for silicon rods

ZHOU Shuang, MA Mingxue, WANG Chunli, HAO Hongtao, DING Wenjie   

  1. College of Mechanical Engineering,Ningxia University,Yinchuan 750021,China
  • Received:2024-11-05 Online:2025-09-18 Published:2025-09-23

摘要: 针对现有硅棒表面瑕疵检测研究不足,以及统一置信度下的瑕疵检测模型存在的误检与不同瑕疵检测精度不平衡等问题,提出基于多置信度的硅棒表面瑕疵检测系统。首先,设计系统机械结构,采用漫反射结构光补光策略,采用条形光源与白玻纤维幕布协作,解决硅棒强反光与大尺寸等特征造成的补光难题;其次,构建精准评价指标体系,以检准率(Accurate Detection Rate,ADR)、漏检率(Missed Detection Rate,MDR)及多检率(Over Detection Rate,ODR)为核心,通过单根硅棒多图采集与双矩阵判别法,形成瑕疵检测精度与误判风险调控规律和特征-指标-阈值的最优置信度校准框架;最后,引入瑕疵种类-置信度分段方法,依据最优置信度校准框架为凹坑、崩边等8类瑕疵精准设定最优置信度,构建多置信度瑕疵检测模型。测试结果表明,多置信度模型下各类瑕疵检准率均呈提升趋势,其中凹坑、亮点、水印和污渍瑕疵的检准率提升幅度较为显著,分别达8.1 %、4.8 %、2.2 %和3.5 %;多数瑕疵的多检率与漏检率呈现下降趋势,尤以凹坑、亮点、水印和污渍的多检率降幅及晶裂与亮点的漏检率降幅最为突出。结果证明,基于多置信度的硅棒表面瑕疵检测系统可精准定位检测瑕疵,弥补研究局限,能够为硅棒质量管控给予高效可靠方案。

关键词: 硅棒, 表面瑕疵检测, 多置信度, 补光方法

Abstract: To address the limitations of existing studies on silicon rod surface defect detection,as well as the issues of misdetection and imbalanced detection performance among different defect types under a unified confidence threshold, a multi-confidence-based surface defect detection system for silicon rods is proposed. Firstly,the mechanical structure of the system is designed with a diffuse reflective structured light illumination strategy. By integrating a strip light source with a white fiber-optic curtain,the system effectively resolves illumination challenges caused by the strong reflectivity and large dimensions of silicon rods. Secondly,a precise evaluation metric framework is constructed,centered on Accurate Detection Rate (ADR),Missed Detection Rate (MDR),and Over Detection Rate (ODR). Based on multi-view image acquisition of single rods and a dual-matrix discrimination method,the system establishes a regulation framework linking defect characteristics,evaluation metrics,and optimal confidence thresholds,enabling the identification of detection accuracy and false detection patterns. The proposed dual-matrix approach enables a comprehensive quantitative assessment of the system′s effectiveness across all perspectives. Finally,a defect-type-specific confidence segmentation method is introduced.According to variations in imaging features among defect types,optimal confidence thresholds are assigned to 8 types of defects,including pits and edge breakage,thereby constructing a highly efficient multi-confidence detection model. Experimental results demonstrate that the proposed model significantly improves the ADR across various defect types. In particular,the ADR for pits,bright spots,watermark,and smudges increased respectively by 8.1 %,4.8 %,2.2 % and 3.5 %. Additionally,most defects' exhibit decreased ODR and MDR,with notable reductions in the ODR for pits,bright spots,watermark,and smudges,and in the MDR for crystal cracks and bright spots. The results confirm that the multi-confidence detection system′s ability to accurately locate and identify defects,effectively overcoming prior research limitations and providing a robust and efficient solution for silicon rod quality control.

Key words: silicon rods, surface defect detection, multiple confidence, fill light method

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