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作 者:张秋昭[1,2] 刘振文 张龙强 张云龙 朱守庆 ZHANG Qiuzhao;LIU Zhenwen;ZHANG Longqiang;ZHANG Yunong;ZHU Shouqing(Jiangsu Key Laboratory of Resource and Environmental Information Engineering,China University of Mining and Technology,Xuzhou 221116,China;National Engineering Laboratory for Digital Construction and Evaluation Technology of Urban Rail Transit,China Railway Design Corporation,Tianjin 300308,China)
机构地区:[1]中国矿业大学江苏省资源环境信息工程重点实验室,江苏徐州221116 [2]中国铁路设计集团有限公司,城市轨道交通数字化建设与测评技术国家工程实验室,天津300308
出 处:《辽宁工程技术大学学报(自然科学版)》2023年第6期671-678,共8页Journal of Liaoning Technical University (Natural Science)
基 金:城市轨道交通数字化建设与测评技术国家工程实验室开放课题基金项目(2021ZH03);国家自然科学基金项目(42074226)。
摘 要:针对现有加速度积分算法实时处理困难、存在漂移误差的问题,构建一种基于递归高通滤波器的加权滑动均值滤波方法。利用递归高通滤波器降低原始加速度与积分所得位移的低频误差,通过加权滑动均值滤波器消除两次积分过程中残余误差引起的趋势项,基于频域积分使用先验数据求取最优滤波参数,实现利用加速度数据实时重构桥梁的振动位移。多组模拟数据和两组实测数据测试结果表明:在保证实时解算的条件下,重构动态位移精度均优于1mm。研究结果表明该方法具有较高的精度,可为桥梁振动实时变形监测提供新方案。Aiming at the difficulties of real-time processing and drift errors of existing integration algorithm,this paper constructed a weighted moving average filtering method based on recursive high-pass filter.High pass recursive filter was used to reduce the low-frequency error between the original acceleration and the integral displacement,then the weighted sliding filter was used to eliminate the trend term caused by the residual error in the process of twice integration.The short prior data was used to fix the optimal filtering parameters based on the frequency-domain integration,so as to realize the real-time reconstruction of the bridge vibration displacement using the acceleration data.The test results of multiple sets of simulated data and two sets of measured data show that the reconstructed dynamic displacement accuracy is better than 1 mm under the condition of ensuring real-time solution.The research results show that this method has high accuracy and can provide a new scheme for real-time deformation monitoring of bridge vibration.
关 键 词:桥梁监测 振动变形 加权滑动均值滤波 实时重构动态位移 加速度积分
分 类 号:P228[天文地球—大地测量学与测量工程]
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