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首页> 外文期刊>Wireless Sensor Systems, IET >Wireless sensor network-based pattern matching technique for the circumvention of environmental and stimuli-related variability in structural health monitoring
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Wireless sensor network-based pattern matching technique for the circumvention of environmental and stimuli-related variability in structural health monitoring

机译：基于无线传感器网络的模式匹配技术可避免结构健康监测中环境和刺激相关的变化

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Much research has gone into using wireless sensor networks to monitor structural health by sensing and measuring vibrations. One problem here is that structural vibrations can be affected by many factors, which can make it difficult to determine the contribution of structural condition to measured vibrations. The authors propose a robust solution to this difficulty that consists of a wireless sensor network that implements a highly efficient, fully distributed pattern matching algorithm. Here, the authors exploit correlation between sensed vibration signals at different locations on the structure under measurement to detect damage. Potential applications for the system are numerous. They include many infrastructure applications such as those involving railroad and pipeline monitoring. The general solution is described, including tradeoffs between accuracy and energy/memory consumption. It is shown that the accuracy of the approach grows gracefully at the expense of memory and energy consumption. In addition, a case study involving railroad applications is discussed. Simulations in the case study indicate that the distributed approach can reduce the consumed energy for transmitted data by 50% compared with a centralised architecture.
机译：使用无线传感器网络通过感测和测量振动来监视结构的健康状况已经进行了许多研究。这里的一个问题是结构振动会受到许多因素的影响，这可能使得很难确定结构条件对测得的振动的影响。作者提出了针对此难题的可靠解决方案，该解决方案由实现高效，完全分布式模式匹配算法的无线传感器网络组成。在这里，作者利用被测结构上不同位置的振动信号之间的相关性来检测损伤。该系统的潜在应用是众多的。它们包括许多基础设施应用程序，例如涉及铁路和管道监控的应用程序。描述了一般的解决方案，包括准确性和能量/内存消耗之间的权衡。结果表明，该方法的准确性以牺牲内存和能耗为代价而优雅地增长。此外，还讨论了涉及铁路应用的案例研究。案例研究中的仿真表明，与集中式体系结构相比，分布式方法可以将传输数据的能耗降低50％。

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