基于多传感器数据融合的空间结构健康状态评估方法

Assessment approach for health state of space structures based on multi-sensor data fusion

针对大跨度空间结构在役期间结构安全运营维护问题,基于多传感器数据融合技术提出既有建筑结构健康状态综合评估方法。根据历史监测数据提取多传感器数据特征向量,并通过层次分析法(analytic hierarchy process,AHP)建立结构安全评估层次模型,计算各指标主观权重;对同类型传感器数据融合得到特征向量,利用指标相关性赋权法(criteria importance through intercriteria correlation,CRITIC)获得指标客观权重,利用最小信息鉴别原理计算主客观综合权重。通过建立隶属度函数获得指标评判矩阵,逐层计算既有结构整体健康状态。以大跨度空间钢结构潍坊北站屋盖为例进行健康状态评估,得到其结构健康指数大于95,验证了所提方法的有效性。

In order to solve the problem of structural safety operation and maintenance of long-span space structures in service,a comprehensive assessment method for the health status of existing building structures based on multi-sensor data fusion is proposed.The feature vector of multi-sensor data is extracted based on historical monitoring data.The hierarchical model of structural safety assessment is established based on analytic hierarchy process(AHP),and the subjective weight of each index is calculated.For the feature vector obtained from the same type of sensor fusion,the objective weight of the index is obtained by the criteria importance through intercriteria correlation(CRITIC)method,and the subjective and objective weights are fused by the principle of minimum information identification.The index evaluation matrix is obtained by establishing the membership function,and the overall health state of the existing structure is calculated layer by layer.Through the health status assessment of the large-span space steel structure Weifang North Station as an example,the structural health index is more than 95,which verifies the effectiveness of the proposed method.