首页|基于岸基激光雷达的水位智能监测技术

基于岸基激光雷达的水位智能监测技术

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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%.
Intelligent technology for monitoring water levels based on shore-based LiDAR
Traditional methods consumed a lot of manpower and material resources and it was difficult to realize real-time monitoring around the clock in harsh environments such as night and rainy days.An intelligent technology for sensing water levels based on shore-based LiDAR was developed.Shore-based LiDAR data acquisition platform was established and areas of interest were selected taking relative horizontal angle and vertical azimuth as parameters.The algorithm was developed to analyze the UDP protocolto parse LiDAR data on its own and effective point cloud information on the water surface was extracted.The water surface equations were constructed by fitting discrete point clouds to calculate and correct water level.The algorithm was verified in a real scenario.The data showed that the intelligent technology for sensing water levels based on LiDAR could effectively monitor the water level.The mean absolute error was 0.057 m,the root mean square error was 0.073 5 m,and the mean percentage error was 7.588%.

water level monitoringLiDARUDPleast-square methodpoint cloud

陈晓燕、齐明杰、程之恒、张昱、庄绪彩、陈亮、田源

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济南市水利工程服务中心,山东济南 250099

山东大学齐鲁交通学院,山东济南 250002

山东省交通科学研究院,山东济南 250000

水位监测 激光雷达 UDP 最小二乘法 点云

山东省重点研发计划

2020CXGC010118

2024

山东大学学报(工学版)
山东大学

山东大学学报(工学版)

CSTPCD北大核心
影响因子:0.634
ISSN:1672-3961
年,卷(期):2024.54(2)
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