研究论文

Android手机传感器的桥梁振动检测试验

  • 刘志平 ,
  • 朱丹彤 ,
  • 杨磊 ,
  • 杨丁亮
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  • 中国矿业大学环境与测绘学院, 徐州 221116
刘志平,副教授,研究方向为测量数据融合、导航位置服务、大地测量反演,电子信箱:zhpliu@cumt.edu.cn。

收稿日期: 2016-12-29

  修回日期: 2017-04-11

  网络出版日期: 2017-05-25

基金资助

国家自然科学基金项目(41204011,41504032);2016年国家重点研发计划项目(2016YFC0803103)

Experiments on bridge vibration detection using Android smartphone sensors

  • LIU Zhiping ,
  • ZHU Dantong ,
  • YANG Lei ,
  • YANG Dingliang
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  • School of Environment Science and Spatial Informatics, China University of Mining Technology, Xuzhou 221116, China

Received date: 2016-12-29

  Revised date: 2017-04-11

  Online published: 2017-05-25

摘要

针对Android智能手机传感器默认采样模式存在的采样率设置固化、欠采样和过采样问题,开发了能够自定义采样率和采样精度,具有采样历元、时间间隔和数据等同步记录功能的手机传感器信号采集软件。模拟加速度信号的功率谱分析和位移积分重构研究表明,L-S谱分析法和频域位移积分法能够有效处理含噪声和非均匀采样的手机加速度信号。利用谷歌Nexus 5(NX 5)、小米3(Mi 3)两个Android手机和SPAN-IGM-A1惯性组合导航系统进行徐州汉桥加速度信号采集和振动检测对比试验,试验结果有效验证了便携式、低成本Android智能手机进行桥梁振动检测的可行性。

本文引用格式

刘志平 , 朱丹彤 , 杨磊 , 杨丁亮 . Android手机传感器的桥梁振动检测试验[J]. 科技导报, 2017 , 35(10) : 80 -86 . DOI: 10.3981/j.issn.1000-7857.2017.10.011

Abstract

In view of the fixed sampling rate setting, the problems of under sampling and over sampling in the default sampling mode of Android smartphone sensors are discussed in this paper, and a smartphone sensor signal acquisition software with a custom sampling rate and sampling precision is developed, which can synchronously record the data of the sampling epoch, the time interval and the sensor values. Then, both two power spectrum analysis methods and two displacement signal reconstruction methods of analog acceleration signals are compared and analyzed, and the results show that the L-S method and the frequency-domain integral method can effectively process the non-uniform sampling signal of smartphone sensors with noise. At the end, the acceleration signals of Xuzhou Han Bridge are collected from both smartphones (NX 5 and Mi 3) and a high precision inertial integrated navigation system (SPAN-IGM-A1) used for comparison experiments, and the bridge vibration detection and analysis results verify that the portable and low-cost Android smartphone can be used to conduct the bridge vibration detection.

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