摘要
为研究沿海地区近岸波浪监测方法与优化手段,并识别出海浪发电的最佳动能采集位置,本文以广东省揭阳市惠来县HKD海浪发电测试项目区为例进行了实地监测研究。本文运用无人机航测设备和陆上监测设备对海浪进行了监测对比分析,识别不同海浪部位的参数差异,并利用BP神经网络模型对项目区整体监测成果进行波浪数据训练与滤波优化,最后运用多元非线性回归模型拟合出该区域海浪动能采集的最佳位置。
Taking the HKD wave power generation test project area in Huilai county,Jieyang city,Guangdong province as an example,this paper studies the coastal wave monitoring methods and optimization means,and identifies the best kinetic energy collection loca-tion for wave power generation.The UAV aerial survey equipment and land monitoring equipment are used to monitor and compare the waves,identify the parameter differences of different wave parts,and use the neural network model to optimize the wave data of the o-verall monitoring results in the project area.Finally,the optimal location of wave kinetic energy collection in this area is obtained by using multiple nonlinear regression.
作者
刘明素
吴洪蕊
王伟娟
LIU Mingsu;WU Hongrui;WANG Weijuan(Guangdong Institute of Land and Resources Surveying and Mapping,Guangzhou 510000,China)
出处
《测绘与空间地理信息》
2023年第9期212-214,217,共4页
Geomatics & Spatial Information Technology
关键词
无人机
近海岸
波浪监测
LIDAR
UAV(Unmanned Aerial Vehicle)
inshore
wave monitoring
LiDAR