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Ship motion measurement using an inertial measurement unit

机译:使用惯性测量单元运输运动测量

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Traditional methods of measuring a vessel's motion involve the use of bulky sensor units which usually require cables. These devices are not only expensive, but are difficult and time-consuming to install. They are simply not affordable and do not provide owners of vessels with a cost effective way of measuring and monitoring their vessels' motion during operation. Measured vessel motion could be used to deduce the sea state using the wave buoy analogy. This additional information could be crucial in improving operational safety for vessels. If motion monitoring is to be used to help improve a vessel's operational stability and provide operational critical information, cheaper and simpler alternatives are needed. In this paper, we present a novel motion measurement system which uses a Raspberry Pi with a wireless module and an inertial measurement unit (IMU) sensor to measure a vessel's motions. The data collected can either be stored locally on the Raspberry Pi or be sent wirelessly to the user. Compared to traditional devices, the Raspberry Pi is cheaper and easier to install. In addition, due to its computing power, some of the post-processing of data, which is traditionally done on a computer separate from the measuring unit, can be done on the Raspberry Pi. For a practical evaluation of using the Raspberry Pi to measure ship motion, it was placed on a fishing vessel for two hours. The IMU used measured nine degrees of freedom, all of which were recorded at 50 Hz on the Raspberry Pi. Afterwards, the data was taken from the Raspberry Pi wirelessly and analysed using Matlab, firstly to ensure that the right data was collected at the right frequency, and secondly to visualise the data. The evaluation shows that using the Raspberry Pi, as an Internet of Things (IoT) device, is a light-weight, cost-effective, and easy-to-install alternative to traditional devices for measuring vessel motion.
机译:测量船舶运动的传统方法涉及使用通常需要电缆的笨重的传感器单元。这些设备不仅昂贵,而且安装难以耗时。它们根本不经济实惠,并不提供具有成本有效的衡量和监测船舶运动的船只的所有者。测量的血管运动可用于使用波浮标类比推导出海水位。此附加信息对于提高船舶的运营安全性可能是至关重要的。如果要使用运动监控来帮助改善船舶的操作稳定性并提供操作的关键信息,因此需要更便宜和更简单。在本文中,我们提出了一种新颖的运动测量系统,它使用具有无线模块的覆盆子PI和惯性测量单元(IMU)传感器来测量船舶的运动。收集的数据可以在覆盆子PI上本地存储,或者无线发送给用户。与传统设备相比,覆盆子PI更便宜,更易于安装。另外,由于其计算能力,可以在覆盆子PI上完成传统上在与测量单元分开的计算机上完成的数据的一些后处理。对于使用覆盆子PI测量船舶运动的实际评估,将其放置在渔船上两小时。 IMU使用了测量的九程度自由度,所有这些自由度都在覆盆子PI上以50 Hz记录。之后,数据从Raspberry PI无线上获取并使用MATLAB进行分析,首先确保以右频率收集正确的数据,其次是可视化数据。评估表明,使用覆盆子PI作为物联网(物联网)设备,是用于测量容器运动的传统设备的轻量级,经济效率和易于安装的替代方案。

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