基于高斯混合模型的桥梁应变监测和评价策略研究  

Strategy for Bridge Strain Monitoring and Evaluation Based on Gaussian Mixture Model

作　　者：黎恒 吴以童 邹磊 黄玉俊 徐韶华 郑飞宇 LI Heng;WU Yitong;ZOU Lei;HUANG Yujun;XU Shaohua;ZHENG Feiyu(Guangxi Beitou IT Innovation Technology Investment Group Co.,Ltd.,Guangxi Nanning 530200,China)

机构地区：[1]广西北投信创科技投资集团有限公司,广西南宁530200

出　　处：《交通工程》2025年第3期75-80,93,共7页Journal of Transportation Engineering

基　　金：广西重点研发计划(AB22035047)。

摘　　要：对于配备健康监测系统的桥梁,在噪声和异常数据的影响下准确评价桥梁的健康状况是至关重要的。本研究通过改进的高斯混合模型聚类算法处理桥梁应变传感器监测数据,以提高桥梁应变分析的准确性,并基于聚类算法得到的特征数据,建立评分策略评估桥梁的健康状态和传感器状态。以中国西部某桥梁监测数据为例,使用本策略进行分析,与直接采集的数据相比,处理后的桥梁健康评分曲线变化平滑,降低了噪声和异常数据的影响。传感器状态评分曲线可跟踪数据变化,并对不同输入做出相应的响应。这表明本评价策略可评估桥梁和传感器的状态,为运营期的桥梁维护决策提供参考。For the bridges equipped with health monitoring systems,it is essential to precisely assess the health status of the bridge from the data with noise and outliers.An improved Gaussian mixture model clustering algorithm is used to process the obtained bridge strain sensor monitoring data and generate the characteristic data of clustering in order to improve the accuracy of data analysis of bridge health monitoring system.Based on the clustering feature data,a scoring strategy is established to assess the bridge health and sensor status.Taking the monitoring data of a bridge in western China as an example,and analyzing with this strategy,the processed bridge health score curve shows a smoother change,compared with the directly collected data,thus reducing the influence of noise and abnormal data.The sensor status scoring curve can track changes in collected data and respond to different transformation scenarios.This shows that the proposed strategy can evaluate the state of this bridge and the sensors,provided a reference for bridge maintenance decision during the operational period.

关 键 词：健康监测系统 连续钢结构桥 高斯混合模型 结构损伤监测 桥梁状态评估 

分 类 号：U45[建筑科学—桥梁与隧道工程]