无人船近海水深测量与抗风浪能力评估

doi:10.13474/j.cnki.11-2246.2022.0296

测绘通报 ›› 2022, Vol. 0 ›› Issue (10): 68-72,79.doi: 10.13474/j.cnki.11-2246.2022.0296

无人船近海水深测量与抗风浪能力评估

曹豹杰^1,2, 高志强¹, 尚伟涛^1,2

1. 中国科学院烟台海岸带研究所, 山东烟台 264003;
2. 中国科学院大学, 北京 100049

收稿日期:2021-12-02 发布日期:2022-11-02
通讯作者: 尚伟涛。E-mail:wtshang@yic.ac.cn
作者简介:曹豹杰(1998-),男,硕士生,主要从事无人船近海水深测量研究。E-mail:bjcao@yic.ac.cn
基金资助:
烟台市科技创新发展计划基础研究类项目(2022YTJC06003045);山东省自然科学基金面上项目(ZR2022MD028;ZR2022MD042);国家自然科学基金(41876107)

Assessment of the bathymetry and ability to withstand wind and waves in shallow waters for unmanned surface vessels

CAO Baojie^1,2, GAO Zhiqiang¹, SHANG Weitao^1,2

1. Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2021-12-02 Published:2022-11-02

摘要/Abstract

摘要： 传统载人测量船吃水深,无法进行浅海水深测量,因此吃水极浅的无人船为近海水深测量提供了新途径。本文利用无人船无验潮测深与GNSS网络RTK技术,在不同的风浪条件下进行了近海水深测量试验;并从轨迹跟踪与水深测量精度方面,定量评估了无人船野外作业的抗风浪能力。结果表明:0～0.3m浪、0～2级风是无人船近海测量作业的理想风浪阈值;风浪过大会导致无人船路径跟踪精度较低,难以保证测量成果质量。在理想的风浪阈值内,无人船无验潮测深技术能实现近海水深的高精度测量,满足相关测深规范要求,在近海水深与海底地形测量中具有广阔的应用前景。

关键词: 无人船, GNSS RTK, 无验潮模式, 近海水深测量, 抗风浪能力

Abstract: 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.

Key words: unmanned surface vessel, GNSS RTK, no tide mode, bathymetry in shallow waters, ability to withstand wind and waves

中图分类号:

P229

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, 0(10): 68-72,79.

CAO Baojie, GAO Zhiqiang, SHANG Weitao. Assessment of the bathymetry and ability to withstand wind and waves in shallow waters for unmanned surface vessels[J]. Bulletin of Surveying and Mapping, 2022, 0(10): 68-72,79.

参考文献

[1] 马毅,张杰,张靖宇,等.浅海水深光学遥感研究进展[J].海洋科学进展, 2018, 36(3):331-351.
[2] 张晨,牟乃夏,周霞,等.无人智能技术在水库地形测量与库容计算中的应用[J].测绘通报, 2017(11):72-76.
[3] 张锡越,朱照荣,齐永良,等.结合无人测量船的什刹海西海水下地形测绘[J].测绘通报, 2018(S1):121-123.
[4] 吉绪发.结合无人船与网络RTK技术测量露天矿坑土方量[J].测绘通报, 2019(7):151-155.
[5] 赵建虎,欧阳永忠,王爱学.海底地形测量技术现状及发展趋势[J].测绘学报, 2017, 46(10):1786-1794.
[6] GIORDANO F, MATTEI G, PARENTE C, et al. Integrating sensors into a marine drone for bathymetric 3D surveys in shallow waters[J]. Sensors, 2015, 16(1):41.
[7] KUM B C, SHIN D H, LEE J H, et al. Monitoring applications for multifunctional unmanned surface vehicles in marine coastal environments[J]. Journal of Coastal Research, 2018, 85:1381-1385.
[8] SPECHT M, SPECHT C, SZAFRAN M, et al. The use of USV to develop navigational and bathymetric charts of yacht ports on the example of national sailing centre in gdańsk[J]. Remote Sensing, 2020, 12(16):2585.
[9] 李超,李明,盛岩峰,等.基于无人机和无人船的岛礁地形测绘技术[J].海洋测绘, 2021, 41(3):52-56.
[10] 赵薛强.无人船水下地形测量系统的开发与应用[J].人民长江, 2018, 49(15):54-57.
[11] 时小飞.基于网络RTK的无验潮水深测量系统及其应用研究[D].南京:东南大学, 2015.
[12] 张国利,时小飞,杨开伟,等.网络RTK支持下的无验潮水深测量方法及其应用[J].测绘通报, 2016(12):140-141.
[13] 欧阳永忠,陆秀平,孙纪章,等. GPS测高技术在无验潮水深测量中的应用[J].海洋测绘, 2005, 25(1):6-9.
[14] MARCHEL Ł, SPECHT C, SPECHT M. Assessment of the steering precision of a hydrographic USV along sounding profiles using a high-precision GNSS RTK receiver supported autopilot[J]. Energies, 2020, 13(21):5637.
[15] 高兴国,田梓文,麻德明,等. GNSS支持下的无验潮测深模式优化[J].测绘通报, 2018(11):7-10.
[16] LEROY C C, ROBINSON S P, GOLDSMITH M J. A new equation for the accurate calculation of sound speed in all oceans[J]. The Journal of the Acoustical Society of America, 2008, 124(5):2774-2782.

无人船近海水深测量与抗风浪能力评估

Assessment of the bathymetry and ability to withstand wind and waves in shallow waters for unmanned surface vessels

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 10

编辑推荐

Metrics

本文评价

[1]	熊春宝, 庞红星, 王猛, 史青法. 基于ICEEMDAN的多滤波算法在超高层动态变形监测中的应用[J]. 测绘通报, 2022, 0(3): 152-156.
[2]	毕继鑫, 刘强, 吴文超, 占晓明. 利用无人船测量系统检测钱塘江护岸工程水下块石[J]. 测绘通报, 2022, 0(10): 118-123.
[3]	雷添杰, 张鹏鹏, 胡连兴, 王世东, 孙黎明. 无人船遥感系统及其应用[J]. 测绘通报, 2021, 0(2): 82-86,92.
[4]	姜沣珊, 岳中杨, 程俊颖, 赵泽阳. 利用BDS与无人船进行污染源分析及处理[J]. 测绘通报, 2020, 0(2): 155-159.
[5]	吉绪发. 结合无人船与网络RTK技术测量露天矿坑土方量[J]. 测绘通报, 2019, 0(7): 151-155.
[6]	熊春宝, 陈雯, 翟京生, 韩龙. GNSS RTK技术下海洋平台桩腿动态变形监测及数据处理[J]. 测绘通报, 2019, 0(5): 102-105.
[7]	范红平, 周志峰, 王永泉. 多系统GNSS RTK的改进卡尔曼滤波算法[J]. 测绘通报, 2018, 0(4): 92-95.
[8]	张晨, 牟乃夏, 周霞, 潘灶新, 李海斌, 庾鹏, 杨骥. 无人智能技术在水库地形测量与库容计算中的应用[J]. 测绘通报, 2017, 0(11): 72-76.
[9]	陈永林, 柳永全, 李辉, 殷耀国. 施工控制与碎部测量同步实施方案及其应用[J]. 测绘通报, 2015, 0(8): 82-86.
[10]	熊春宝, 田力耘, 叶作安, 熊指南, 白鋆. GNSS RTK技术下超高层结构的动态变形监测[J]. 测绘通报, 2015, 0(7): 14-17,31.