软弱地基条件下桥梁病害智能检测方法设计

DESIGN OF INTELLIGENT DETECTION METHOD FOR BRIDGE DISEASES UNDER SOFT GROUND CONDITIONS

现阶段我国桥梁病害检测存在检测效率不高的问题,为满足对桥梁病害的智能检测需求,现提出软弱地基条件下桥梁病害智能检测方法设计。通过建立原始数据集,提取出桥梁病害的多方面特征,进行裂缝等级的判定,从而建立出桥梁病害智能检测模型,实现对桥梁病害的科学诊断。最后进行实验,通过与常规的桥梁病害检测方法进行对比,证明提出的桥梁病害智能检测方法在检测效率上优于常规方法,有助于降低桥梁结构安全风险,对桥梁病害检测研究提供理论与实践上的支持。

At present,the detection efficiency of bridge disease detection is not high in our country.To meet the demand for intelligent detection of bridge disease,the intelligent detection method design of bridge disease under soft foundation conditions is proposed.Through the establishment of the original data set,the various features of bridge diseases are extracted,and the crack grade is determined,so as to establish the intelligent detection model of bridge diseases and realize the scientific diagnosis of bridge diseases.Finally,the experiment is carried out.By comparing with conventional bridge disease detection methods,it is proved that the proposed bridge disease intelligent detection method is superior to conventional methods in detection efficiency,which is helpful to reduce the safety risk of bridge structures,and provides theoretical and practical support for the research of bridge disease detection.