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Application of MEMS-based accelerometer wireless sensor systems for monitoring of blast-induced ground vibration and structural health: a review

机译:基于MEMS的加速度计无线传感器系统在爆炸引起的地面振动和结构健康监测中的应用:综述

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Ubiquitous wireless sensor network (WSN) enables low-cost monitoring applications such as blast-induced ground vibration (BIGV) and structural health monitoring (SHM). In particular, monitoring and analysing the ambiguous BIGV waves are essential requisite to control and protect surrounding grievous damage structures. Similarly, improving health and longevity of structures using WSN is a new facet that owes to diminish the low-cost installation. Recent advances in WSNs are forging new prospects for sensors. A variety of intelligent sensors are integrated into the wireless system to monitor environmental, and health of civil infrastructures. Considering the current trends in the area of development of wireless monitoring prototypes, Micro-Electro-Mechanical-Systems (MEMS) accelerometer sensors are widely prevalent owing to the small size and inexpensive. In general, BIGV waves are less intensity and low-frequency signals. Hence, it is essential to select an appropriate accelerometer to detect micro-vibration waves. The study exemplifies a summarised review of recently made MEMS-based accelerometer wireless systems for intelligent and reliable monitoring of BIGV and SHM since the last decade. This research effort focuses on the numerous adopted accelerometers and their characteristics such as sensitivity, noise density, measurement range, bandwidth, resolution, network topologies, and performance of designed systems to analyse the micro-vibration levels comprehensively.
机译:无处不在的无线传感器网络(WSN)支持低成本监测应用,例如爆炸引起的地面振动(BIGV)和结构健康监测(SHM)。特别地,监视和分析模糊的BIGV波是控制和保护周围严重破坏结构的必要条件。同样,使用WSN改善结构的健康状况和寿命是减少低成本安装的一个新方面。无线传感器网络的最新进展正在为传感器开辟新的前景。各种智能传感器已集成到无线系统中,以监控环境和民用基础设施的健康状况。考虑到无线监控原型开发领域的当前趋势,由于体积小且价格便宜,微机电系统(MEMS)加速度传感器广泛流行。通常,BIGV波是强度较小的低频信号。因此,必须选择合适的加速度计来检测微振动波。这项研究例证了自最近十年以来对BIGV和SHM进行智能,可靠监视的基于MEMS的加速度计无线系统的最新综述。这项研究工作集中于众多采用的加速度计及其特性,例如灵敏度,噪声密度,测量范围,带宽,分辨率,网络拓扑以及设计的系统性能,以全面分析微振动水平。

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