桥梁健康监测系统多源数据自动化匹配方法

Research on Automatic Matching Method of Multi-Source Data in Bridge Health Monitoring System

为提升特大桥梁结构营运安全监测系统自动化运维水平,提出了一种采用车辆智能监测系统、ETC门架称重系统和封闭式连通管挠度测量系统的多源数据匹配方法。首先应用相似性度量方法关联车辆到时与车辆载荷数据,再利用时域影响线控制方程分别建立单车荷载和多车荷载特征曲线,最后通过时序分析方法匹配三类数据中同一车辆目标,识别确定性目标在多源数据中唯一的对应时刻。依托国内某特大预应力混凝土连续刚构桥工程项目,介绍了该方法的实践与应用。结果表明:该方法计算结果可反映多系统间由时间偏移和延迟导致的系统误差以及多参数间不同应用场景引起的随机误差,可自动关联对比识别多源目标数据,对提高智慧交通的自动化运维水平具有一定的参考价值。

In order to improve the automatic operation and maintenance level of the operation safety monitoring system for super-large bridge structures,a multi-source data matching method has been developed which has been relied on the intelligent vehicle monitoring system,ETC portal frame weighing system and closed connected pipe deflection measurement system.In this paper,similarity measure method associated with the time of arrival of the vehicle and vehicle load data has been applied,then time domain influence line control equations have beenused to establish single vehicle load and multiple vehicle loads characteristic curve,and finally with the help of time series analysis method three kinds of data in the same vehicle target have been matched,which has been used to identify target uncertainty batch number only corresponding moment of multi-source data.In this paper,the method has been discussed based on a large prestressed concrete continuous rigid frame bridge project in China.The results have shown that the calculated results of this method can reflect the system errors caused by time offset and delay between multiple systems and the random errors caused by different application scenarios between multiple parameters,and can automatically identify multi-source target data by correlation and comparison,which has certain reference value for improving the automatic operation and maintenance level of intelligent transportation.