基于犹豫模糊集的桥梁最佳监测数据提取研究

Extraction of Optimum Monitoring Data of Bridges Based on Hesitant Fuzzy Set

目前提取监测数据中异常数据的方法研究比较多,而对桥梁海量监测数据的特征数据提取的方法研究比较少。通过对原始监测数据进行一系列预处理和归一化后,将监测数据转化为犹豫模糊决策矩阵,并基于犹豫模糊集对桥梁最佳监测数据进行提取,可从每个时间周期内提取出一个最佳的监测数据,从而消除了对桥梁安全监测意义不大的数据,减少数据量,提高桥梁安全监测评估的效率。

At present,there are many methods to extract abnormal data from monitoring data,but few methods to extract characteristic data from massive monitoring data of bridges.After a series of pretreatment and dimensionless normalization of the original monitoring data,the monitoring data are transformed into a hesitant fuzzy decision matrix.Based on the hesitant fuzzy set entropy measure,the extraction algorithm of the best monitoring data for bridges can extract the best monitoring data from each time period,thus eliminating the safety of bridges.Reducing the amount of data and improving the efficiency and benefit of bridge safety monitoring and evaluation.