基于无线网络的船舶航道水深测量方法提升水深测量效果，为确保船舶航行安全提供参考。以超声波测距传感器为无线水深测量节点，采集船舶航道水深数据，利用相关函数法预处理超声波信号，提升水深数据采集精度；汇聚网关利用基于网络编码的数据传输方法，转发采集的水深数据至中央处理器；通过中央处理器分析处理接收的数据，并存储至对应的数据库内；用户利用客户端调取数据库内的数据，实时查看船舶航道水深测量结果。实验证明：该方法可有效采集船舶航道水深数据，精准测量船舶航道水深；不同冗余系数下，该方法数据传输的能耗较低，具备较优的数据传输效果。
The water depth measurement method of ship channel based on wireless network is studied to improve the water depth measurement effect and provide reference for ensuring the safety of ship navigation. The ultrasonic distance sensor was used as the wireless depth measurement node to collect the water depth data of ship channel, and the correlation function method was used to preprocess the ultrasonic signal to improve the accuracy of water depth data acquisition. The aggregation gateway uses the data transmission method based on network coding to forward the collected bathymetric data to the central processor. The received data is analyzed and processed by the central processing unit and stored in the corresponding database. The user can use the client to retrieve the data in the database and check the measurement results of ship channel depth in real time. Experimental results show that this method can effectively collect water depth data of ship channel and accurately measure water depth of ship channel. With different redundancy coefficients, the data transmission energy consumption of this method is lower and the data transmission effect is better.
2023,45(11): 155-158 收稿日期：2023-01-08
DOI：10.3404/j.issn.1672-7619.2023.11.032
分类号：U612.26
基金项目：广西中青年教师能力提升项目(2022KY1101)
作者简介：刘荣超(1987-),男,实验师,主要从事水利工程及建筑工程技术研究
参考文献：
[1] 桂子钦, 刘超, 黄尔, 等. 陡坡河道透过性坝阻水效应及沿程水深预测方法[J]. 工程科学与技术, 2021, 53(6): 175–184
GUI Ziqin, LIU Chao, HUANG Er, et al. Water retaining effect of a slit dam and prediction method for flow depth in steep slope rivers[J]. Advanced Engineering Sciences, 2021, 53(6): 175–184
[2] 彭东立, 汤鑫, 章寿涛. ADCP测量水深的过滤与插值方法[J]. 声学技术, 2020, 39(4): 501–504
PENG Dongli, TANG Xin, ZHANG Shoutao. The filtering and interpolation method of ADCP for measuring water depth[J]. Technical Acoustics, 2020, 39(4): 501–504
[3] 倪汉杰, 蒋仲廉, 初秀民, 等. 基于DWT-LSTM的航道水位智能预测模型研究[J]. 中国航海, 2021, 44(2): 97–102
NI Hanjie, JIANG Zhonglian, CHU Xiumin, et al. DWT-LSTM based intelligent water level prediction model for navigable waters[J]. Navigation of China, 2021, 44(2): 97–102
[4] 杨松, 孙慧敏, 张振军. 基于线状点云的水深测量精度快速评定方法研究[J]. 人民长江, 2021, 52(7): 115–119
[5] 陈伟, 吕学斌, 梁雪春. 基于CEEMDAN-LSTM的陶岔渠首水深预测[J]. 人民黄河, 2022, 44(5): 89–94
[6] 刘青, 李兰兰, 张德树. 无线传感网络中基于环形的层次型路由协议[J]. 传感技术学报, 2022, 35(6): 837–843
LIU Qing, LI Lanlan, ZHANG Deshu. Ring-based hierarchical routing wireless sensor networks[J]. Chinese Journal of Sensors and Actuators, 2022, 35(6): 837–843
[7] 李洪兵, 刘子路, 陈强, 等. 基于分级邻近节点的无线传感器网络分簇路由算法[J]. 计算机工程, 2020, 46(6): 187–195
LI Hongbing, LIU Zilu, CHEN Qiang, et al. Clustering routing algorithm for wireless sensor network based on hierarchical neighboring nodes[J]. Computer Engineering, 2020, 46(6): 187–195
