桥梁动态挠度图像识别测试技术研究

发布时间：2018-01-27 03:45

本文关键词： 桥梁工程动态挠度图像识别工业相机 LED灯健康监测　出处：《世界桥梁》2015年03期 　论文类型：期刊论文

【摘要】：目前桥梁动态挠度测试技术缺乏比较科学、便捷的手段,鉴于此,开展动态挠度图像识别测试技术相关研究。研究表明,利用相机采集目标部位不同时间的图像,然后将图像经计算机处理分析即可得到挠度变化数据。具体操作为在桥梁结构待测挠度点预先布置好LED灯,采用工业相机在固定参考点采集目标变化图像,通过形心搜索算法来识别LED灯的位置变化,通过计算程序的运行可以自动控制相机测量并自动分析处理数据,实时得到桥梁动态挠度的变化。武汉军山长江大桥为主跨460m双塔钢箱梁斜拉桥,在该桥主跨跨中布置LED灯,应用图像识别测试技术测试其动态挠度,测试结果与该桥已有的健康监测系统测试结果比较一致,验证了动态挠度图像识别测试技术的准确性和可靠性。
[Abstract]:At present, the bridge dynamic deflection testing technology is lack of more scientific and convenient means, in view of this, the research on dynamic deflection image recognition and testing technology is carried out. Using the camera to collect the image of the target position at different times, then the image can be processed and analyzed by computer to get the deflection change data. The concrete operation is that the LED lamp is arranged in advance at the deflection point of the bridge structure to be measured. The industrial camera is used to collect the changing image of the target at the fixed reference point, and the position change of the LED lamp is identified by the centroid search algorithm. The dynamic deflection of the bridge can be obtained by automatically controlling the camera measurement and automatically analyzing and processing the data through the operation of the calculation program. Wuhan Junshan Yangtze River Bridge is a 460m steel box girder cable-stayed bridge with a main span of 460m. LED lights are arranged in the middle of the main span of the bridge and the dynamic deflection of the bridge is tested by image recognition test technology. The test results are consistent with the results of the existing health monitoring system of the bridge. The accuracy and reliability of dynamic deflection image recognition and testing technology are verified.
【作者单位】：中铁大桥局集团桥科院有限公司;桥梁结构安全与健康湖北省重点实验室;
【分类号】：U446
【正文快照】： 1引言结构的位移和变形一直是桥梁施工和安全运营过程中的关键控制参数,其中动态挠度是评价桥梁整体结构性能非常关键的参数,对其进行科学可靠的测试至关重要[1,2]。但当前桥梁动态测试的手段和设备较少,尤其是对桥梁动态挠度的直接测量尚缺乏比较科学、便捷的手段。常规测量

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