基于物联网的无人艇航行状态监测系统设计
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1.浙江省舟山市定海区临城街道海大南路一号;2.浙江省海洋开发研究院,浙江舟山 316000;3.舟山市卓林船舶设计有限公司, 浙江舟山 316000

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浙江省重点研发计划项目(2021C03185),浙江省市场监督管理局质量技术基础建设项目(20200132)


A Monitoring System of the USV Navigation Status based on the IOT
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1.浙江省舟山市定海区临城街道海大南路一号;2.浙江省海洋开发研究院,浙江舟山 316000;3.舟山市卓林船舶设计有限公司, 浙江舟山 316000

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    摘要:

    针对无人水面艇(unmanned surface vehicle,USV)航行状态监测及试航性能评估试验中的参数获取问题,设计了一套USV航行状态监测系统。首先以物联网(Internet of Things,IoT)三层架构为基础,设计小尺寸、低功耗的监测方案;然后以多源传感器和STM32微控制器作为感知层,LoRa网关及LoRa终端作为数据远程传输途径,使用TCP协议作为数据远程传输协议,云平台作为系统应用层,从而实现数据采集、传输和应用功能;基于监测系统要求,在应用层设置阈值实现航行状态预警功能。最后对系统功能及性能测试,结果表明,系统横、纵瑶精度为±0.02°rms,风速(0.2±0.02)m/s,风向±2.5°,所有监测参数技术指标均符合要求,且丢包率在通信距离小于1.4km时为1.5%,较传统方法降低了约22%,为进一步完善USV航行状态监测提供了技术支持。

    Abstract:

    Aiming at the problem of parameter acquisition in the navigation state monitoring and trial performance evaluation test of unmanned surface vehicle (USV), a set of USV navigation state monitoring system is designed. First, based on the three-layer architecture of Internet of things (IOT), a monitoring scheme with small size and low power consumption is designed; Then, the multi-source sensor and STM32 microcontroller are used as the sensing layer, Lora gateway and Lora terminal are used as the data remote transmission channels, TCP protocol is used as the data remote protocol, and the cloud platform is used as the system application layer, so as to realize the data collection, transmission and application functions; Based on the requirements of the monitoring system, the threshold value is set in the application layer to realize the navigation status early warning function. Finally, the function and performance of the system are tested. The results show that the horizontal and vertical precision of the system is ± 0.02°rms, the wind speed is (0.2 ± 0.02) m / s, and the wind direction is ± 2.5 °. All the monitoring parameters and technical indicators meet the requirements, and the packet loss rate is 1.5% when the communication distance is less than 1.4km, which is about 22% lower than the traditional method. It provides technical support for further improving the USV navigation status monitoring.

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  • 收稿日期:2022-12-13
  • 最后修改日期:2022-12-13
  • 录用日期:2023-01-12
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