基于传感网络的桥梁承压信号提取算法研究Research on bridge pressure-bearing signal extraction algorithm based on sensor network
张挣鑫,刘黔会,朱延
摘要(Abstract):
针对基于时间序列分析算法的桥梁承压信号提取算法容易受到噪声的干扰,信号提取过程存在较高的滞后性,预警性能差的问题,提出基于传感网络的桥梁承压信号提取算法。基于桥梁承压传感器优化布置理论,塑造桥梁承压传感器合理布局数学模型,融合MAC矩阵和传感器布局数学模型,对桥梁承压传感器数目进行高效控制,通过蚁群算法实现桥梁承压传感器的合理布局。完成传感器的合理布局后,在布局的传感器监测点中融合GNSS接收机以及加速度计两种传感器,获取桥梁承压信号,并通过LMS自适应滤波器过滤桥梁承压信号中的随机噪声,提取桥梁承压信号中的关键部分。实验结果表明,所提算法实现了桥梁承压信号的准确采集、桥梁状况整体评估,具有较强的预警性能。
关键词(KeyWords): 传感网络;桥梁承压信号;检测;合理布局;自适应滤波器;提取算法
基金项目(Foundation): 贵州省自然科学基金(黔科合J字[2015]2062号):基于概率统计分析桥梁结构健康有限元模型修复方法研究应用~~
作者(Author): 张挣鑫,刘黔会,朱延
DOI: 10.16652/j.issn.1004-373x.2018.19.011
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