基于BOLL通道法的结构监测数据识别处理方法

在大跨度结构非均匀温度场的监测数据处理中常常需要处理温度数据，但是传统的温度识别处理方法在处理非均匀温度场数据时过于粗糙，无法较好的保留温度场的数据细节。因此本文通过BOLL通道法巧妙引入第三方数据与原始数据构建上下轨线，求取偏离值得到改进BOLL通道法完成对相关的非均匀温度场异常温度识别处理。同时对比了移动平均线法和三西格玛准则在数据识别处理的优劣。研究结果表明：改进型BOLL通道法在识别处理非均匀温度场方面具有独特的区域自适应性，在识别异常温度值的同时较好保留了非均匀温度场研究的突变温度细节，并且处理漂移温度数据和跳点温度数据的效果优于移动平均线法和三西格玛准则。

Research on Monitoring Data Identification and Processing Based on BOLL Channel Method

In the monitoring data processing of non-uniform temperature field of large-span spatial structures, it is often necessary to process temperature data. However, the traditional temperature identification processing method is too rough in processing the non-uniform temperature field data, and can not better retain the details of the temperature field data. Therefore, we use the BOLL channel method to introduce the third-party data and the original data to construct the upper and lower trajectories, calculate the deviation value, and use the improved BOLL channel method to complete the identification and processing of the relevant non-uniform temperature field abnormal temperature. At the same time, the advantages and disadvantages of moving average method and three sigma criterion in data recognition and processing are compared. The research results show that the improved BOLL channel method has unique regional adaptability in identifying and processing the non-uniform temperature field, while recognizing the abnormal temperature value, it better retains the abrupt temperature details of the non-uniform temperature field research, and the effect of processing the drift temperature data and the jump point temperature data is better than the moving average method and the three sigma criterion.