对舱室设计缺陷进行检测是船舶制造过程中的必经步骤。传统的舱室设计缺陷检测依赖于现场检测人员的经验和检验设备的精度，检测效率较低，船舶大型化对设计缺陷检测提出了新要求。本文在充分研究图像处理技术的基础上，提出一种船舶舱室设计缺陷检测系统，设计了系统的整体结构，并对系统进行了测试。测试结果表明，系统可以实现对舱室结构参数的基本检测，同时对墙面裂缝可以做到自动识别和判定，大幅度提升了舱室设计缺陷检测的工作效率和准确率。
The detection of cabin design defects is a necessary step in the ship manufacturing process. The traditional cabin design defect detection relies on the experience of inspectors and the accuracy of inspection equipment, and the detection efficiency is low, and the large size of ships has put forward new requirements for design defect detection. Based on the full study of image processing technology, this paper proposes a naval cabin design defect detection system, designs the overall structure of the system, and tests the system. The test results show that the system can detect the basic structural parameters of the cabin, and at the same time can automatically identify and determine the wall cracks, which greatly improves the efficiency and accuracy of cabin design defect detection.
2023,45(12): 148-151 收稿日期：2023-01-16
DOI：10.3404/j.issn.1672-7619.2023.12.029
分类号：U664
作者简介：宋晓婧(1986-),女,硕士,讲师,研究方向为计算机视觉图形图像、三维室内设计及建筑装饰设计等
参考文献：
[1] 赵崇林, 朱江, 胡永进, 等. 融合注意力和多尺度特征的航空发动机缺陷检测[J]. 北京航空航天大学学报: 1–14.
ZHAO Chong-lin, ZHU Jiang, HU Yong-jin, et al. Fusion of attention and multi-scale features for aero-engine defect detection [J]. Journal of Beijing University of Aeronautics and Astronsutics : 1–14.
[2] 郭慧文, 刘晓鸣, 陈浩天, 等. 基于机器视觉的镍基高温合金表面缺陷检测系统开发[J]. 制造业自动化, 2023, 45(4): 81–87
GUO Hui-wen, LIU Xiao-ming, CHEN Hao-tian, et al. Development of Surface Defect detection System for Nickel-based Superalloy based on Machine vision[J]. Manufacturing Automation, 2023, 45(4): 81–87
[3] 杨硕, 孙林. 基于图像处理和深度学习的膜片缺陷检测[J]. 激光杂志, 2023, 44(4): 103–106
YANG Shuo, SUN Lin. Patch defect detection based on image processing and deep learning[J]. Laser Journal, 2023, 44(4): 103–106
[4] 王丹, 高炜欣. 基于稀疏描述的X射线焊缝图像缺陷检测研究[J]. 制造技术与机床, 2023(4): 126–131
WANG Dan, GAO Wei-xin. Research on Defect Detection of X-ray Weld Image Based on Sparse Description[J]. Manufacturing Technology & Machine Tool, 2023(4): 126–131
[5] 刘杰. 探究钢铁表面缺陷检测的研究与实现[J]. 中国设备工程, 2023(6): 172–174
LIU Jie. Research and Implementation of Steel Surface Defect Detection[J]. China Equipment Engineering, 2023(6): 172–174
[6] 郭庆. 基于图像处理的铁轨表面缺陷检测研究[D]. 南京: 南京邮电大学, 2022.
[7] 张东岭. 基于图像处理的机械材料缺陷检测技术研究[J]. 粘接, 2002, 49(6): 39–43
ZHANG Dong-ling. Research on Defect Detection Technology of Mechanical Materials Based on Image Processing[J]. Journal of Bonding, 2002, 49(6): 39–43
[8] 王昱东. 基于3D技术的舰船舱室设计缺陷可视化方法研究[J]. 舰船科学技术, 2019, 41(24): 13–15
WANG Yu-dong. Research on Visualization Method of Ship Cabin Design Defects Based on 3D Technology[J]. Ship Science and Technology, 2019, 41(24): 13–15
