无人船近海水深测量与抗风浪能力评估
文献类型:期刊论文
作者 | 曹豹杰1,2; 高志强2![]() |
刊名 | 测绘通报
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出版日期 | 2022 |
期号 | 10页码:68-70 |
关键词 | 无人船 GNSS RTK 无验潮模式 近海水深测量 抗风浪能力 |
ISSN号 | 0494-0911 |
其他题名 | Assessment of the bathymetry and ability to withstand wind and waves in shallow waters for unmanned surface vessels |
文献子类 | 期刊论文 |
英文摘要 | Traditional survey vessels can not perform bathymetry in shallow waters due to their large draft values. Unmanned surface vessels(USV) with small draft values provide new solutions for bathymetry in shallow waters. Using USV,non-tide sounding and network GNSS RTK technology,the bathymetry experiments in shallow waters are performed under different wind and waves conditions. The ability of USV to withstand wind and waves while working in shallow waters is quantitatively assessed from path tracking precision and bathymetry accuracy. The results show that wave height of 0 ~ 0.3 m and wind level of 0 ~ 2 are the reasonable threshold for bathymetry in shallow waters using USV. The USV with non-tide sounding technology can achieve high-precision measurement of bathymetry in shallow waters,and the accuracy can meet the requirements of relevant sounding specifications under reasonable wind and waves conditions. USV has broad application prospects in bathymetry and seabed topography survey in shallow waters. |
语种 | 中文 |
CSCD记录号 | CSCD:7330676 |
源URL | [http://ir.yic.ac.cn/handle/133337/34091] ![]() |
专题 | 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 烟台海岸带研究所_海岸带信息集成与综合管理实验室 |
作者单位 | 1.中国科学院大学,北京100049 2.中国科学院烟台海岸带研究所,山东烟台264003; |
推荐引用方式 GB/T 7714 | 曹豹杰,高志强,尚伟涛. 无人船近海水深测量与抗风浪能力评估[J]. 测绘通报,2022(10):68-70. |
APA | 曹豹杰,高志强,&尚伟涛.(2022).无人船近海水深测量与抗风浪能力评估.测绘通报(10),68-70. |
MLA | 曹豹杰,et al."无人船近海水深测量与抗风浪能力评估".测绘通报 .10(2022):68-70. |
入库方式: OAI收割
来源:烟台海岸带研究所
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