基于机器视觉的系杆拱桥的拱位移监测技术研究

Research on Arch Displacement Monitoring Technology for Bowstring Arch Bridge Based on Machine Vision

随着我国桥梁的服役数量及服役时间的不断增长,桥梁领域越来越重视对系杆拱等特殊结构桥梁的位移监测。本文基于机器视觉方法,通过在拱上特定位置设施靶标、在两端拱脚设置相机的方式,提出了一种拱位移监测方案。随后以S32公路油墩港桥为实例,对该方法进行了试验验证,结果表明该方法能够同时达到亚毫米级位移精度与昼夜动态监测的要求,实现了对油墩港桥的拱位移监测。试验结果可靠,为同类系杆拱桥的拱位移监测方案提供了参考。

With the continuous increase in the number and service time of bridges in China,the field of bridge is paying more and more attention to displacement monitoring of special structural bridge such as bowstring arch bridge.Based on machine vision methods an arch displacement monitoring scheme is proposed by setting the target at a specific location on the arch and setting the camera at the foot of the arch at both ends.And then taking Youdun Port Bridge in S#@Highway as an example,the method is experimentally validated.The results indicate that the method can simultaneously achieve sub-millimeter level displacement accuracy,and day and night dynamic monitoring requirements.The arch displacement monitoring of Youdun Port Bridge is achieved.The test results are reliable,which can provide some reference for arch displacement monitoring schemes of similar bowstring arch bridges.