Abstract
Cross-sea bridges are an important component of national infrastructure and an important regional transportation hub,which have a significant impact on economic development,regional integration,and cultural exchange.Ship superelevation is an important factor that threatens the safety of bridges.Therefore,superelevation detection is an important means to improve the service level of channel navigation,standardize the navigation order of ships in the water area near the bridge,and enhance the ship collision prevention ability of bridges.This paper conducted theoretical analysis and engineering feasibility research on superelevation detection by using laser alignment,laser ranging,optoelectronic detection,LiDAR detection,and machine vision.According to the superelevation detection requirements of the Hong Kong-Zhuhai-Macao Bridge,two technical routes and equipment,namely machine vision and LiDAR detection,were selected and designed,and real ship testing was conducted.The results show that under the current technical conditions,machine vision can be used for superelevation detection of ships in long-distance and ultra-wide water areas of cross-sea bridges,and the test results can provide effective support for the construction of related projects.
Publication Date
2-22-2025
DOI
10.14048/j.issn.1671-2579.2025.01.027
First Page
219
Last Page
224
Submission Date
March 2025
Recommended Citation
Xiaodong, SONG; Min, DUAN; Quanli, REN; Jianan, HU; Naiheng, YANG; Jingwen, CHEN; and Jianrong, TONG
(2025)
"Application of Superelevation Detection Technology in Ship Collision Prevention System of Cross-Sea Bridges,"
Journal of China & Foreign Highway: Vol. 45:
Iss.
1, Article 27.
DOI: 10.14048/j.issn.1671-2579.2025.01.027
Available at:
https://zwgl1980.csust.edu.cn/journal/vol45/iss1/27
Reference
[1]王文晋.青岛港船舶航行风险评估和预测研究 [D].大连:大连海事大学,2015.WANG Wenjin.Study of evaluation and prediction of navigation risk of Qingdao Port [D].Dalian:Dalian Maritime University,2015.
[2]陈伟.港珠澳大桥防船撞对策及关键技术研究 [J].宁波大学学报 (理工版 ),2017,30(3):72-75.CHEN Wei.Research on key technology of antiship collision for Hong Kong-Zhuhai-Macao Bridge [J].Journal of Ningbo University (Natural Science & Engineering Edition ),2017,30(3):72-75.
[3]郑植,耿波,袁佩,等.跨海大桥抗撞能力及防护措施研究[J].中外公路,2022,42(1):127-132.ZHENG Zhi,GENG Bo,YUAN Pei,et al.Study on anti-collision performance and protective measures of sea-crossing bridge [J].Journal of China & Foreign Highway,2022,42(1):127-132.
[4]井雪锋,陈跃云.非通航孔自适应拦截防船撞系统施工技术 [J].华东科技 (综合),2021 (4):149-150.JING Xuefeng,CHEN Yueyun.Construction technology of non-navigable hole adaptive interception and anti-collision system [J].East China Science and Technology,2021 (4):149-150.
[5]孔令元,巩健.磨刀门特大桥船撞桥墩快速重建工程技术研究 [J].中外公路,2021,41(3):155-160.KONG Lingyuan,GONG Jian.Study on engineering technology of rapid demolition and reconstruction of Modaomen Bridge piers due to ship collision [J].Journal of China & Foreign Highway,2021,41(3):155-160.
[6]郭乾,周曙,何信,等.一种桥梁防撞系统中的虚拟航道构建 与 船 舶 偏 航 检 测 方 法 [J].软 件 导 刊,2018,17(7):189-192.GUO Qian,ZHOU Shu,HE Xin,et al.Construction of virtual channel and ship yaw detection method in bridge collision avoidance system [J].Software Guide,2018,17(7):189-192.
[7]翁卫军.基于远红外交叉热成像的桥梁防船撞预警系统[J].科学技术与工程,2011,11(35):8800 -8804,8819.WENG Weijun.Study on the far-infrared cross-thermal imaging warning technology to protect bridge from ship collision [J].Science Technology and Engineering,2011,11(35):8800 -8804,8819.
[8]贾彩凤.大型通航桥梁防船撞主动预警系统分析 [J].舰船科学技术,2019,41(22):37-39.JIA Caifeng.Analysis of active early warning system for ship collision prevention of large navigable bridges [J].Ship Science and Technology,2019,41(22):37-39.
[9]王华,王龙林,杨雨厚.桥梁主动式防船撞预警平台研发与示范运用 [J].中国公路,2023 (7):68-71.WANG Hua,WANG Longlin,YANG Yuhou.Research,development and demonstration application of bridge active anti-collision early warning platform [J].China Highway,2023 (7):68-71.
[10]秦泗凤.近期中国桥梁水毁事故回顾与分析 [J].中外公路,2022,42(1):133-138.QIN Sifeng.Review and discussion of recentwater damage accidents of bridges in China [J].Journal of China & Foreign Highway,2022,42(1):133-138.
[11]廖圆圆,刘煜,祝露,等.外设复合材料圈的独立桩柱防船 撞 系 统 设 计 与 模 拟 [J].中 外 公 路,2024,44(5):183-191.LIAO Yuanyuan,LIU Yu,ZHU Lu,et al.Design and simulation of anti-collision system on independent pile with external composite [J].Journal of China & Foreign Highway,2024,44(5):183-191.
[12]袁红斌,曹会群,欧群雍.基于激光测距雷达和机器视觉的障碍物检测 [J].现代雷达,2021,43(5):57-62.YUAN Hongbin,CAO Huiqun,OU Qunyong.Obstacle detection based on lidar and machine vision [J].Modern Radar,2021,43(5):57-62.
[13]冯吉.基于机器视觉和激光雷达的割草机前方障碍物检测[D].保定:河北农业大学,2020.FENG Ji.Obstacle detection in front of mower based on machine vision and lidar [D].Baoding:Hebei Agricultural University,2020.
[14]徐洪斌,李立刚,贺则昊,等.激光雷达与机器视觉融合的海面目标检测方法 [J].电光与控制,2024,31(12):98-105.XU Hongbin,LI Ligang,HE Zehao,et al.Sea surface target detection method based on the fusion of lidar and machine vision [J].Electronics and Optics Control,2024,31(12):98-105.
[15]凌洋铭,王如衡,龙飞,等.基于机器视觉和激光雷达的智能 物 料 运 输 车 [J].电 子 技 术 与 软 件 工 程,2022 (6):199-202.LING Yangming,WANG Ruheng,LONG Fei,et al.Intelligent material transport vehicle based on machine vision and lidar [J].Electronic Technology & Software Engineering,2022 (6):199-202.
[16]李梦洁.基于激光点云与图像结合的行人检测与跟踪技术研究 [D].长沙:国防科技大学,2017.LI Mengjie.Pedestrian detection and tracking technology based on the fusion of laser point and image [D].Changsha:National University of Defense Technology,2017.[17]赵祎飞.可见光图像与红外图像配准与融合算法的研究[D].西安:西安电子科技大学,2021.ZHAO Yifei.Research on the registration and fusion algorithm of visible and infrared image [D].Xi’an:Xidian University,2021.
[18]ZOU D P,YANG B.Infrared and low-light visible image fusion based on hybrid multiscale decomposition and adaptive light adjustment [J].Optics and Lasers in Engineering,2023,160:107268.
[19]LEE M W,KWAK K C.Performance comparison of infrared and visible image fusion approaches [C]//2017 International Conference on Control,Artificial Intelligence,Robotics & Optimization (ICCAIRO ).Prague,Czech Republic.IEEE,2017:274-277.
[20]CHEN Z Q,QI Y H,ZHONG S P,et al.SCL-SLAM:Ascan context-enabled LIDAR SLAM using factor graph-based optimization [C]//2022 IEEE International Conference on Unmanned Systems (ICUS ).Guangzhou,China.IEEE,2022:1264 -1269.
[21]MANDOWA,MORALES J,GOMEZ-RUIZ J A,et al.Optimizing scan homogeneity for building full- 3D lidars based on rotating a multi-beam velodyne range-finder [C]//2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS ).Madrid,Spain.IEEE,2018:4788 -4793.
[22]SHI X Y,CHAI Z Q,ZHOU Y,et al.Global place recognition using an improved scan context for LIDAR-based localization system [C]//2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM ).Delft,Netherlands.IEEE,2021:498-503.
[23]高长海,陈亮,范远利,等.基于激光雷达扫描建模的可视化交互式船舶超载超吃水监测技术 [J].中国水运 (下半月),2019,19(12):52-53.GAO Changhai,CHEN Liang,FAN Yuanli,et al.Visual interactive monitoring technology of ship overload and draught based on lidar scanning modeling [J].China Water Transport,2019,19(12):52-53.
Included in
Construction Engineering and Management Commons, Other Civil and Environmental Engineering Commons, Statistical Methodology Commons, Structural Materials Commons, Transportation Engineering Commons