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用于精确水面高程测量的多传感器全球导航卫星系统-物联网系统的开发。

Development of a Multi-Sensor GNSS-IoT System for Precise Water Surface Elevation Measurement.

作者信息

Wang Jun, Garthwaite Matthew C, Wang Charles, Hellen Lee

机构信息

Kurloo Technology Pty Ltd., Brisbane, QLD 4064, Australia.

CSIRO Space and Astronomy, Canberra, ACT 2601, Australia.

出版信息

Sensors (Basel). 2025 Jun 5;25(11):3566. doi: 10.3390/s25113566.

DOI:10.3390/s25113566
PMID:40969125
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12158365/
Abstract

The Global Navigation Satellite System (GNSS), Internet of Things (IoT) and cloud computing technologies enable high-precision positioning with flexible data communication, making real-time/near-real-time monitoring more economical and efficient. In this study, a multi-sensor GNSS-IoT system was developed for measuring precise water surface elevation (WSE). The system, which includes ultrasonic and accelerometer sensors, was deployed on a floating platform in Googong reservoir, Australia, over a four-month period in 2024. WSE data derived from the system were compared against independent reference measurements from the reservoir operator, achieving an accuracy of 7 mm for 6 h averaged solutions and 28 mm for epoch-by-epoch solutions. The results demonstrate the system's potential for remote, autonomous WSE monitoring and its suitability for validating satellite Earth observation data, particularly from the Surface Water and Ocean Topography (SWOT) mission. Despite environmental challenges such as moderate gale conditions, the system maintained robust performance, with over 90% of solutions meeting quality assurance standards. This study highlights the advantages of combining the GNSS with IoT technologies and multiple sensors for cost-effective, long-term WSE monitoring in remote and dynamic environments. Future work will focus on optimizing accuracy and expanding applications to diverse aquatic settings.

摘要

全球导航卫星系统(GNSS)、物联网(IoT)和云计算技术实现了高精度定位与灵活的数据通信,使实时/近实时监测更经济高效。在本研究中,开发了一种用于测量精确水面高程(WSE)的多传感器GNSS-IoT系统。该系统包括超声波和加速度计传感器,于2024年在澳大利亚古贡水库的一个浮动平台上部署了四个月。将该系统获取的WSE数据与水库运营商的独立参考测量数据进行比较,6小时平均解的精度达到7毫米,逐历元解的精度达到28毫米。结果表明该系统在远程、自主WSE监测方面的潜力,以及其适用于验证卫星对地观测数据,特别是来自地表水和海洋地形(SWOT)任务的数据。尽管面临中等大风天气等环境挑战,该系统仍保持稳健性能,超过90%的解符合质量保证标准。本研究强调了将GNSS与物联网技术及多个传感器相结合,在远程和动态环境中进行经济高效的长期WSE监测的优势。未来的工作将集中于优化精度并将应用扩展到不同的水生环境。

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