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山东大学学报 (工学版) ›› 2024, Vol. 54 ›› Issue (2): 90-95.doi: 10.6040/j.issn.1672-3961.0.2023.046

• 机器学习与数据挖掘 • 上一篇    

基于岸基激光雷达的水位智能监测技术

陈晓燕1,齐明杰1,程之恒2,张昱3,庄绪彩2*,陈亮3,田源2   

  1. 1.济南市水利工程服务中心, 山东 济南 250099;2.山东大学齐鲁交通学院, 山东 济南 250002;3.山东省交通科学研究院, 山东 济南 250000
  • 发布日期:2024-04-17
  • 作者简介:陈晓燕(1982— ),女,山东梁山人,高级工程师,硕士,主要研究方向为水工结构工程、水利工程管理. E-mail:122473283@qq.com. *通信作者简介:庄绪彩(1999— ),女,山东日照人,硕士研究生,主要研究方向为车路协同. E-mail:202135442@mail.sdu.edu.cn
  • 基金资助:
    山东省重点研发计划(2020CXGC010118)

Intelligent technology for monitoring water levels based on shore-based LiDAR

CHEN Xiaoyan1, QI Mingjie1, CHENG Zhiheng2, ZHANG Yu3, ZHUANG Xucai2*, CHEN Liang3, TIAN Yuan2   

  1. 1. Jinan Water Engineering Service Center, Jinan 250099, Shandong, China;
    2. School of Qilu Transportation, Shandong University, Jinan 250002, Shandong, China;
    3. Shandong Transportation Research Institute, Jinan 250102, Shandong, China
  • Published:2024-04-17

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摘要： 针对传统水位监测方法耗费人力物力极大且难以满足夜间、雨天等恶劣环境下实时监测的难题,基于激光雷达研发水位智能监测技术,通过在岸基搭建激光雷达数据采集平台,以相对水平角和垂直方位角为参数选择感兴趣区域;研发算法分析用户数据报协议(user datagram protocol, UDP),自行解析雷达数据,提取水面有效点云信息;拟合离散点云,构造水面方程,计算水位高度,并修正。对该算法进行实地试验,试验结果表明,本研究提出的水位智能监测技术可有效进行水位监测,平均绝对误差为0.057 m,均方根误差为0.073 5 m,平均百分比误差为7.588%。

关键词: 水位监测, 激光雷达, UDP, 最小二乘法, 点云

中图分类号: 

  • TP39
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