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基于超宽带技术的地面不稳定监测柔性无线传感器网络。

A Flexible Wireless Sensor Network Based on Ultra-Wide Band Technology for Ground Instability Monitoring.

机构信息

Department of Information Engineering, University of Florence, via di S. Marta 3, 50139 Florence, Italy.

Department of Earth Sciences, University of Florence, via La Pira 4, 50121 Florence, Italy.

出版信息

Sensors (Basel). 2018 Sep 5;18(9):2948. doi: 10.3390/s18092948.

DOI:10.3390/s18092948
PMID:30189591
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6165304/
Abstract

An innovative wireless sensor network (WSN) based on Ultra-Wide Band (UWB) technology for 3D accurate superficial monitoring of ground deformations, as landslides and subsidence, is proposed. The system has been designed and developed as part of an European Life+ project, called Wi-GIM (Wireless Sensor Network for Ground Instability Monitoring). The details of the architecture, the localization via wireless technology and data processing protocols are described. The flexibility and accuracy achieved by the UWB two-way ranging technique is analysed and compared with the traditional systems, such as robotic total stations (RTSs) and Ground-based Interferometric Synthetic Aperture Radar (GB-InSAR), highlighting the pros and cons of the UWB solution to detect the surface movements. An extensive field trial campaign allows the validation of the system and the analysis of its sensitivity to different factors (e.g., sensor nodes inter-visibility, effects of the temperature, etc.). The Wi-GIM system represents a promising solution for landslide monitoring and it can be adopted in combination with traditional systems or as an alternative in areas where the available resources are inadequate. The versatility, easy/fast deployment and cost-effectiveness, together with good accuracy, make the Wi-GIM system a possible solution for municipalities that cannot afford expensive/complex systems to monitor potential landslides in their territory.

摘要

提出了一种基于超宽带 (UWB) 技术的创新无线传感器网络 (WSN),用于 3D 精确监测地面变形,如滑坡和沉降。该系统是作为欧洲 Life+项目 Wi-GIM(地面不稳定监测无线传感器网络)的一部分设计和开发的。描述了架构的细节、通过无线技术进行的定位以及数据处理协议。分析并比较了 UWB 双向测距技术的灵活性和精度与传统系统(例如机器人全站仪 (RTS) 和地基干涉合成孔径雷达 (GB-InSAR)),突出了 UWB 解决方案在检测表面运动方面的优缺点。广泛的现场试验活动验证了系统的有效性,并分析了其对不同因素(例如传感器节点的相互可见性、温度影响等)的敏感性。Wi-GIM 系统是滑坡监测的一种有前途的解决方案,它可以与传统系统结合使用,也可以在资源不足的地区作为替代方案。多功能性、易于/快速部署和成本效益,以及良好的准确性,使 Wi-GIM 系统成为那些无法承担昂贵/复杂系统来监测其领土内潜在滑坡的市政当局的可行解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/a2b7a0fa917c/sensors-18-02948-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/a2b7a0fa917c/sensors-18-02948-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/0f1d122ffdcd/sensors-18-02948-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/84dc937f373b/sensors-18-02948-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/9fa6891ef115/sensors-18-02948-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/0a677653b410/sensors-18-02948-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/3ce27b18656e/sensors-18-02948-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/00a059a1446c/sensors-18-02948-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/c11c1af212e8/sensors-18-02948-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/5407a02cc021/sensors-18-02948-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/f0d2b4892287/sensors-18-02948-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/c498a2e213f0/sensors-18-02948-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/4b12b3aa18eb/sensors-18-02948-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa02/6165304/a2b7a0fa917c/sensors-18-02948-g012.jpg

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