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首页> 外文期刊>International Journal of Sustainable Materials and Structural Systems >Data recovery via hybrid sensor networks for vibration monitoring of civil structures
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Data recovery via hybrid sensor networks for vibration monitoring of civil structures

机译：通过混合传感器网络进行数据恢复，用于民用建筑的振动监测

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摘要

Sensor networks are increasingly used for acquiring data on the basis of which other mathematical tools, such as system identification methods, may infer valuable information regarding the monitored object. This is especially important within the context of monitoring for civil structures, where minor variations in environmental and operational conditions bear a pronounced effect on structural response. In order to accurately monitor engineered systems these effects should be discernible in the acquired response, which inevitably mandates the transmission of large volumes of data. Such a task is oftentimes prohibitive for the case of wireless sensor networks (WSNs), a solution which enjoys an increasing share of popularity for the monitoring of large-scale infrastructure due to its low cost and ease of deployment. The work presented herein proposes an amendment to this shortcoming by merging the herein introduced concept of a leading node with a recently surfaced compressive sensing paradigm, relying on robust signal reconstruction techniques. The concept builds on the fact that fusion of a minimal number of tethered sensors with wireless nodes in a so-called hybrid sensor network, improves the information content of the transmitted data. The latter allows for dense, yet low-cost, and sufficiently accurate deployments featuring wireless nodes. To this end, this work outlines, in a step-by-step process, the separate stages for time-series recovery from the partially transmitting nodes of the WSN.
机译：越来越多地将传感器网络用于获取数据，在此基础上，其他数学工具（例如系统识别方法）可以推断出有关受监视对象的有价值的信息。在监视土木结构的情况下，这一点尤为重要，因为在土木结构中，环境和操作条件的微小变化会对结构响应产生显着影响。为了准确地监控工程系统，这些影响应该在所获得的响应中辨别出来，这不可避免地要求传输大量数据。对于无线传感器网络（WSN）而言，这样的任务通常是禁止的。由于其低成本和易于部署，该解决方案在监视大型基础架构方面越来越受欢迎。本文提出的工作通过依靠稳健的信号重建技术，将此处引入的前导节点概念与最近浮出水面的压缩感测范例进行合并，提出了对该缺陷的修正方案。该概念基于这样一个事实，即在所谓的混合传感器网络中将最少数量的系留传感器与无线节点融合，可以改善传输数据的信息内容。后者允许以无线节点为特征的密集但低成本且足够准确的部署。为此，这项工作将逐步介绍从WSN的部分传输节点进行时间序列恢复的各个阶段。

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