期刊文献+

基于虚拟传感器的拉索频率获取研究——以南京夹江大桥为例

Research on Cable Frequency Acquisition Based on the Virtual Sensor——Taking Nanjing Jiajiang Bridge as an Example
下载PDF
导出
摘要 索结构在桥梁结构中运用十分广泛,作为斜拉桥和吊桥的主要受力及传力构件,其本身的自振特性能够直接反映桥梁结构的安全状况。然而,常规的测量技术大多需要在索上安装所需类型传感器,该操作十分烦琐与危险。因此,文章提出了一种更加经济、高效、安全的非接触式测量方法,将高速摄像机作为远程虚拟传感器结合编写的图像处理代码实现拉索动力响应参数的获取,并且将该方法应用于南京夹江桥拉索运动响应测试。结果显示摄影测量与传统测量方法的结果相近,误差仅为0.80%~1.42%,精度较高,能满足工程测量的需求。 The cable structure is widely used in bridge structure. As the main load-bearing and load-transmitting components of cable-stayed bridges and suspension bridges, its natural vibration characteristics can directly reflect the safety status of the bridge structure. However,most conventional measurement technologies require the installation of the required type of sensor on the cable,which is cumbersome and dangerous. Therefore, this paper proposes a more economical, efficient and safer noncontact measurement method. The high-speed camera is used as a remote virtual sensor to obtain the dynamic response parameters of the cable in combination with the written image processing code, and the method is applied to the cable motion response test of Nanjing Jiajiang Bridge.The results show that the results of photogrammetry and traditional measurement methods are similar with the error of only 0.80%-1.42%, and the accuracy is high, which can meet the needs of engineering measurement.
作者 毛若愚 黄小华 李世春 MAO Ruoyu;HUANG Xiaohua;LI Shichun(CCCC Infrastructure Maintenance Group Co.,Ltd.,Beijing 100000,China)
出处 《工程技术研究》 2023年第2期5-7,共3页 Engineering and Technological Research
关键词 虚拟传感器 摄影测量 运动响应 图像处理 virtual sensor photogrammetry motion response image processing
  • 相关文献

参考文献4

二级参考文献43

  • 1KOMURO T, KAGAMI S, ISHIKAWA M. A dynamicallyreconfigurable SIMD processor for a vision chip[J]. IEEEJ. Solid-State Circ.,2004,39(1): 265-268.
  • 2ISHII I,YAMAMOTO K, KUBOZONO M. Higher orderautocorrelation vision chip[J]. IEEE Trans. Electron Dev.,2006,53(8): 1797-1804.
  • 3HIRA1 S, ZAKOJI M, MASUBUCHI A, et al. Real-timeFPGA-based vision system[J]. J. Robot. Mechat., 2005,17(4): 401-409.
  • 4GUO Y, SHI H,YU Z. Research on tunnel completeprofile measurement based on digital photogrammetrictechnology[C]//Service Operations, Logistics, andInformatics (SOLI), 2011 IEEE International Conferenceon, Beijing, 2011: 521-526.
  • 5NIE Y, TAKAKI T, ISHIII,et al. Behavior recognition inlaboratory mice using HFR video analysis[C]//Proc. IEEEInt. Conf. on Robotics and Automation,2011 : 1595-1600.
  • 6ISHII I,OKUDA T, NIE Y, et al. Cardiac motion analysisof a rat model for myocardial infarction usinghigh-frame-rate stereo images[C]//Proc. IEEE Conf. onAutomation Science and Engineering, 2010: 780-785.
  • 7GU Q,TAKAKI T, ISHII I. Fast FPGA-basedmulti-object feature extraction[J]. IEEE Transactions onCircuits and Systems for Video Technology, 2013,23(1):30-45.
  • 8GU Q, AOYAMA T, TAKAKI T,et al. Fast trackingsystem for multi-colored pie-shaped markers [J].International Journal of Optomechatronics, 2013,7(3):160-180.
  • 9WATANABE Y,ITOYAMA K,YAMADA M, et al.Digitization of deformed documents using a high-speedmulti-camera array[C]//The 11th Asian Conference onComputer Vision, 2012: 394-407.
  • 10OKUMULA K,OKU H, ISHIKAWA M. High-speed gazecontroller for millisecond-order pan/tilt camera [CJ//2011IEEE International Conference on Robotics andAutomation, 2011: 6186-6191.

共引文献43

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部