桥梁远程结构综合参数获取与智能评估软件设计

Bridge Remote Structure Comprehensive Parameter Acquisition and Intelligent Evaluation Software Design

摘要:

针对老旧桥梁受环境与自身寿命的影响，养护维修的成本不断提高的问题，本文设计开发了桥梁远程结构综合参数获取与智能评估软件。首先利用在桥梁上布设的多个传感器组成一个全天候硬件监测系统，软件通过5G公共网络与监测系统通信，同时借助软件内嵌的多分类卷积神经网络，将深度神经网络在分类领域的独特优势应用于老旧桥梁健康状况的评估。经过实际测试，满足设计要求，解决了老旧桥梁因监测周期长和效率低，而导致的健康诊断难的问题，该系统具有参数获取难度低、精度高、健康评估准确的优势。

Abstract:

Aiming at the problem that the maintenance and repair cost of old bridges is affected by the environment and its own life, this paper designs and develops a comprehensive parameter acquisition and health assessment system for bridge remote structures. First of all, the use of multiple sensors laid on the bridge to form an all-weather hardware monitoring system, the software communicates with the monitoring system through the 5G public network, and at the same time, with the help of the multi-classification convolutional neural network embedded in the software, the unique advantages of the deep neural network in the field of classification are applied to the assessment of the health status of the old bridge. After practical testing, to meet the design requirements, to solve the old bridge due to the long monitoring cycle and low efficiency, resulting in the difficulty of health diagnosis, the system has the advantages of low difficulty in obtaining parameters, high precision, accurate health assessment.