在一个试验场(Acuto,意大利)安装多传感器监测系统的岩壁的三维远程测量

A. Fantini, M. Fiorucci, S. Martino, P. Sarandrea
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引用次数: 2

摘要

在Acuto (Frosinone -意大利中部)的一个废弃采石场安装了一个多传感器监测系统,以测试多传感器和多参数远程技术,以便在岩石破坏威胁战略基础设施的情况下进行早期预警。多传感器监测系统包括:i)一个气象气候系统,包括一个传统气象站和一个创新的TSA-BOXone;Ii)一个岩土工程系统,包括用于测量岩体温度的温度计、用于测量岩体微裂隙的应变计、用于检测应力-应变条件的开放节理上的延伸计;Iii)临时安装了纳米地震监测系统,以探测被视为岩石破坏前兆的低震级振动。为了正确设计多参数监测系统,对围岩进行了扫描,识别出主要节理组。为了对岩壁进行空间地理编码,初步获得了3个GPS专著。2015年11月至2016年5月,采用两种不同的方法对采石场工作面进行了远程扫描测量:1)采用徕卡全站仪进行地形三维测量;ii)利用三维照片技术进行光学测量,并利用运动构造技术进行分析。地形调查提供了高清晰度地理编码点云。将这些输出与SFM技术在3D照片上获得的输出进行了比较,以检验其可靠性。为此,从每次测量中获得测量距离的高斯双峰分布;结果表明,计算误差可以忽略不计,主要差异出现在采样三维区域的边界处。这种比较鼓励使用SfM技术的摄影技术来获得多时相地理编码的点云,用于变化检测分析,以指出由于边坡破坏造成的疤痕带的证据。这种方法保证了一个非常快速和准确的实践,易于管理硬件和低软件成本。
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3D Remote survey of a rock wall hosting a multi-sensor monitoring system in a test-site (Acuto, Italy)
A multi-sensor monitoring system was installed in an abandoned quarry at Acuto (Frosinone - Central Italy) to test multi-sensing and multi-parametric remote techniques for early warning incase of rock failures threating strategic infrastructures. The multisensory monitoring system consist in: i) a meteo-climatic system, including a conventional weather stations and an innovative TSA-BOXone; ii) a geotechnical system, including thermometer for the rock mass temperature, strain-gauges for micro-fractures of rock mass, extensometers on open joints for detecting stress-strain conditions; iii) a nanoseismic monitoring system was also temporary installed to detect low magnitude vibrations to be regarded as precursors of rock failures. To correctly design the multi-parametric monitoring system, the rock wall was scanned to identify the main joint sets.Three GPS monographs were preliminary obtained in order to spatially geocoding the rock wall. From November 2015 to May 2016 remote scanning surveys were carried out on the quarry face by two different approaches: i) topographic 3D survey by Leica Total Station; ii) optical survey by 3D photos technique analyzed by Structure from Motion technique. The topographic survey provided high definition geocoded point clouds. These outputs were compared with the ones obtained by the SFM technique on 3D photos to test their reliability. At this aim, a Gaussian bi-modal distribution of the surveyed distances was obtained from each measurement; the comparison among the so derived distributions demonstrates that the computed errors are negligible and the main differences result at the boundaries of the sampled 3D domain. This comparison encourages the use of the photography technology by SfM technique to obtain multi-temporal geocoded point clouds for change detection analyses to point out evidences of scar zones due to slope failures. Thisapproach guarantees a very quick and accurate practice with easy management hardware and low software costs.
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