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An hybrid wireless-wired monitoring system for real-time rock collapse forecasting

机译:实时岩崩预测的混合无线监测系统

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Rock face collapses are one of the most dangerous and sudden natural risks in mountain environments. Traditional investigation techniques (e.g., strain gauge, inclinometer) cannot guarantee neither a non-invasive monitoring within the rocks nor a prompt alarm in case of possible collapse. Real-time monitoring systems, which might provide an effective evaluation of the dynamics of the phenomenon for a subsequent forecasting phase, generally rely on wired solutions that are unfeasible in environmental monitoring applications. In this paper, we present a real-time monitoring system for the rock collapse forecasting that exploits MEMS accelerometers and geophones (in addition to traditional sensors) for a non-invasive detection of micro-acoustic bursts associated with the formation and the evolution of the cracks within the rocks. The proposed monitoring system relies on an hybrid wireless-wired architecture that allows for detecting and localizing micro-acoustic emissions in real-time yet maintaining an high energy-efficiency by means of effective energy management policies and sophisticated energy harvesting mechanisms. The deployment area is the St. Martin mountain that dangerously insists on the town of Lecco (Italy).
机译:岩壁塌陷是山区环境中最危险,最突然的自然风险之一。传统的调查技术(例如,应变仪,倾角仪)既不能保证对岩石的非侵入性监测,也不能保证在可能塌陷的情况下及时发出警报。实时监视系统可能会在随后的预测阶段提供对现象动态的有效评估,通常依赖于在环境监视应用程序中不可行的有线解决方案。在本文中,我们提出了一种用于岩石坍塌预测的实时监控系统,该系统利用MEMS加速度计和地震检波器(除传统传感器外)无创地检测与声波形成和演化相关的微声脉冲。岩石中的裂缝。所提出的监视系统依赖于一种混合无线有线体系结构,该体系结构允许通过有效的能量管理策略和复杂的能量收集机制实时检测和定位微声发射,同时保持高能量效率。部署区域是危险地坚持在莱科镇(意大利)的圣马丁山。

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