基于 BP 神经网络与变形监测成果的隧道安全状态评估

摘要

The long monitoring period , plentiful contents and complex influencing factors of tunnel deformation monitoring have made the monitoring methods being improved continuously and will require a real‐time health evaluation to the tunnel .It states the construction of BP neural network and tunnel safety evaluation model ,studies the tunnel safety evaluation model base on BP neural netw ork in the category of deformation monitoring , proposes a modern internet of things mode of tunnel deformation monitoring system joints satellite positioning technology , measurement robot , sensor technology and network technology of wireless mobile communication together ,analyzes the deformation characteristics of multi‐source data ,combines with the experiences and knowledge of evaluation experts ,realizes tunnel safety evaluation under BP neural netw ork and deformation monitoring data ,and provides a novel and effective method to tunnel deformation monitoring and safety evaluation .%隧道变形监测周期长、内容多且影响因素复杂，因此需要对隧道监测方法进行不断的改进，对隧道的健康状态进行实时评估。研究变形监测范畴内基于BP神经网络的隧道安全状态评估模型，组建集卫星定位技术、测量机器人、传感器技术、移动网络通信等为一体的现代化物联网模式下的隧道变形监测系统，分析多源数据的变形特征，结合专家经验知识，实现基于BP神经网络与变形监测成果下的隧道安全状态评估，为隧道变形监测及安全状态评估提供一种新颖而有效的方法。