CAJ | 학술논문

光电成像挠度系统在桥梁结构状态健康监测系统工程实践中由于受到雾、强光等天气因素干扰会影响识别精度。针对该问题，本文在分析了光电成像挠度测量系统组成和成像识别原理基础上，深入研究了各种不利的天气因素干扰对挠度测量系统成像识别精度的影响，并在图像增强基础上提出一种投影差分算法来提高在不利天气条件下光电成像识别精度，该算法通过对比实验(雾天：该方法的均方差为1.632231，传统方法均方误差为16.53408；强光：该方法的均方差为2.182247，传统方法均方误差为23.01813)验证了该方法在不利天气条件下相比传统方法将识别精度从厘米级提高到毫米级，大大增强了光电成像挠度系统的可靠性，并在重庆马桑溪长江大桥、重庆高家花园嘉陵江大桥等桥梁结构状态监测系统的光电成像挠度测量系统工程实践中得以成功检验。
광전성상뇨도계통재교량결구상태건강감측계통공정실천중유우수도무、강광등천기인소간우회영향식별정도。침대해문제，본문재분석료광전성상뇨도측량계통조성화성상식별원리기출상，심입연구료각충불리적천기인소간우대뇨도측량계통성상식별정도적영향，병재도상증강기출상제출일충투영차분산법래제고재불리천기조건하광전성상식별정도，해산법통과대비실험(무천：해방법적균방차위1.632231，전통방법균방오차위16.53408；강광：해방법적균방차위2.182247，전통방법균방오차위23.01813)험증료해방법재불리천기조건하상비전통방법장식별정도종전미급제고도호미급，대대증강료광전성상뇨도계통적가고성，병재중경마상계장강대교、중경고가화완가릉강대교등교량결구상태감측계통적광전성상뇨도측량계통공정실천중득이성공검험。
Because of high accuracy and wide range, the advanced optoelectronic imaging deflection system has become the important device of the Bridge Structural Health Monitoring System (BSHMS), and has been applied to several bridges. However, the recognition accuracy of the optoelectronic imaging deflection system has greatly descended for fog and sunshine in practice. By analyzing the principle of image-based deflection measurement, a conclusion was drawn that small error in light source target in image recognition caused larger error in deflection because of amplification of optical measurement system. A novel method based on projection and differential is proposed for recognition of light source target. Compared with conventional method (its Mean-Square Error (MSE) is 16.534 08<fog>and 23.018 13<sunny>), the proposed approach (its MSE is 1.632 231<fog>and 2.182 247<sunny>) is more accurate and accords with practice. Experiment results verify the effectiveness of the designed method and theoretical discussions.