应用激光, 2023, 43 (5): 0088, 网络出版: 2024-02-02  

基于线结构光的软包电池表面检测系统研究

Research on Surface Detection System of Soft Pack Batteries Based on Line Structured Light
作者单位
浙江科技学院机械与能源工程学院,浙江 杭州 310012
摘要
为检测软包电池表面缺陷,开发一套基于线结构光的软包电池表面检测系统。首先搭建基于激光三角测量原理检测系统;对相机、光平面和移动位姿进行标定,通过相机与线结构光获取电池表面条纹图像;其次运用Steger方法提取条纹中心线;最后三维重建还原电池表面的形貌特征,结合表面条纹特性曲线,判断缺陷类型。试验结果表明,该系统能够检测软包电池表面缺陷类型及受损程度,满足软包电池表面检测的需求。
Abstract
In order to detect defects on the surface of soft pack batteries, a system based on line structured light is developed for the inspection of the surface of soft pack batteries. Firstly, a laser triangulation-based inspection system is built; the camera, light plane and moving position are calibrated to obtain the surface streak image of the battery through the camera and line structured light; the centerline of the streak is extracted by applying the Steger method. Then the morphological characteristics of the battery surface are restored through 3D reconstruction, and the type of defect is judged by combining with the surface streak characteristic curve. The experimental results show that the system can detect the type of defects and the degree of damage on the surface of soft pack batteries, and meet the needs of soft pack battery surface inspection.
参考文献

[1] 李瑞坤. 基于多尺度特征的锂电池表面缺陷检测方法研究[D]. 哈尔滨: 哈尔滨工业大学, 2019.LI R K. Surface defect detection for lithium battery based on multi-scale features[D]. Harbin: Harbin Institute of Technology, 2019.

[2] 汤勃, 孔建益, 伍世虔. 机器视觉表面缺陷检测综述[J]. 中国图象图形学报, 2017, 22(12): 1640-1663.TANG B, KONG J Y, WU S Q. Review of surface defect detection based on machine vision[J]. Journal of Image and Graphics, 2017, 22(12): 1640-1663.

[3] ZHOU Q B, CHEN R W, HUANG B, et al. An automatic surface defect inspection system for automobiles using machine vision methods[J]. Sensors (Basel, Switzerland), 2019, 19(3): 644.

[4] 肖佳全, 何卫锋, 欧阳祥波. 基于机器视觉的异形弹簧快速缺陷检测方法研究[J]. 机床与液压, 2022, 50(2): 99-104.XIAO J Q, HE W F, OUYANG X B. Research on rapid defect detection method of special-shaped spring based on machine vision[J]. Machine Tool & Hydraulics, 2022, 50(2): 99-104.

[5] 檀甫贵, 邹复民, 刘丽桑, 等. 基于机器视觉的软包锂电池表面缺陷检测[J]. 福建工程学院学报, 2020, 18(3): 267-272.TAN F G, ZOU F M, LIU L S, et al. Surface defect detection of soft-pack lithium battery based on machine vision[J]. Journal of Fujian University of Technology, 2020, 18(3): 267-272.

[6] 刘今越, 刘佳斌, 贾晓辉, 等. 基于面结构光投影法的刀具几何参数测量研究[J]. 仪器仪表学报, 2017, 38(5): 1276-1284.LIU J Y, LIU J B, JIA X H, et al. Research on tool geometry parameter measurement based on surface structured light projection[J]. Chinese Journal of Scientific Instrument, 2017, 38(5): 1276-1284.

[7] 李宇萌, 段欣伯, 马蓬勃. 基于点云的转子表面缺陷检测方法[J]. 计算机与现代化, 2019(10): 101-107.LI Y M, DUAN X B, MA P B. A rotor surface defect detection method based on point cloud[J]. Computer and Modernization, 2019(10): 101-107.

[8] 孔刚鹏, 郝波涛, 张畔, 等. 基于激光三角法的火炮身管药室参数测量方法[J]. 兵工自动化, 2021, 40(12): 47-50.KONG G P, HAO B T, ZHANG P, et al. Method of Gun Powder chamber parameter measurement based on laser triangulation method[J]. Ordnance Industry Automation, 2021, 40(12): 47-50.

[9] 王一, 李龙飞, 陆坤龙. 基于多线结构光的胶体几何参数三维测量[J]. 应用激光, 2021, 41(6): 1310-1316.WANG Y, LI L F, LU K L. Three-dimensional measurement of colloidal geometric parameters based on multi-line structured light[J]. Applied Laser, 2021, 41(6): 1310-1316.

[10] 王乐, 方玥, 王胜春, 等. 基于Zemax的钢轨轮廓测量系统仿真模型研究[J]. 中国激光, 2021, 48(16): 1604004.WANG L, FANG Y, WANG S C, et al. Research on the simulation model of rail profile measurement system based on zemax[J]. Chinese Journal of Lasers, 2021, 48(16): 1604004.

[11] 于龙龙, 李艳文, 栾英宝, 等. 基于二维平面靶标的线结构光标定[J]. 仪器仪表学报, 2020, 41(6): 124-131.YU L L, LI Y W, LUAN Y B, et al. Line structured light calibrating based on two-dimensional planar target[J]. Chinese Journal of Scientific Instrument, 2020, 41(6): 124-131.

[12] 杨绪昌. 基于线结构光的物体表面缺陷检测方法与实验研究[D]. 济南: 山东大学, 2020.YANG X C. Object surface defect detection method and experimental research based on line structured laser[D]. Jinan: Shandong University, 2020.

[13] 尤勇, 谷森, 孟庆林, 等. 基于线激光相机的客车踏板孔位测量方法研究[J]. 应用激光, 2021, 41(2): 320-325.YOU Y, GU S, MENG Q L, et al. Research on measurement method of passenger car pedal hole position based on line laser[J]. Applied Laser, 2021, 41(2): 320-325.

[14] 胡杨, 方素平. 线结构光条纹中心提取方法[J]. 激光与光电子学进展, 2021, 58(1): 0112005.HU Y, FANG S P. Extraction method of light stripe center of linear structure[J]. Laser & Optoelectronics Progress, 2021, 58(1): 0112005.

[15] 南方, 李大华, 高强, 等. 改进Steger算法的自适应光条纹中心提取[J]. 激光杂志, 2018, 39(1): 85-88.NAN F, LI D H, GAO Q, et al. Implementation of adaptive light stripe center extraction of improved Steger algorithm[J]. Laser Journal, 2018, 39(1): 85-88.

张紫建, 庞茂, 滕传超, 韩晓乐, 周展. 基于线结构光的软包电池表面检测系统研究[J]. 应用激光, 2023, 43(5): 0088. Zhang Zijian, Pang Mao, Teng Chuanchao, Han Xiaole, Zhou Zhan. Research on Surface Detection System of Soft Pack Batteries Based on Line Structured Light[J]. APPLIED LASER, 2023, 43(5): 0088.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!