Research on structural state assessment and safety diagnosis based on monitoring data
A method of structural state assessment and safety diagnosis based on monitoring data was proposed.The algo-rithm of cleaning and trend extraction of massive monitoring data obtained by automatic monitoring equipment was estab-lished,including the processing of abnormal abrupt value by using the Laida Criterion and the processing of abnormal con-stant value by using the platform width threshold control method.After considering the data of different indexes and meas-uring points comprehensively,a semi-empirical and semi-theoretical comprehensive structural state evaluation model based on multiple correlation coefficients was constructed.According to the relationship between the state assessment curve and the safety threshold,the structure safety diagnosis method based on hierarchical early warning was proposed.
monitoring datadata cleaningstructural state assessmentsafety diagnosis
NETL
NSTL
万方数据
