桥梁结构健康监测桥梁梁端位移（机器视觉监测）数据

在桥梁结构健康监测领域，机器视觉技术以其高精度和非接触式的优势，成为了监测桥梁梁端位移的重要手段。通过安装在桥墩的高清工业相机与关键测点的人工靶标，当重车通过时，系统能够实时捕捉并处理图像数据，进而生成包含监测时间、梁端横截面左侧底部竖向位移、梁端横截面右侧底部竖向位移、梁端底部宽度、梁端转角等关键信息的数据集。可以利用这些数据进行桥梁维护决策、结构安全分析、科学研究及模拟预测，有效预防灾害，优化维护计划，为桥梁结构健康研究提供参考数据模型，用来模拟发现桥梁潜在的安全隐患，还能为桥梁的维修和加固提供科学依据，为桥梁结构健康研究提供参考。1、数据采集：原始数据由公司设备采集的桥梁结构健康监测数据组成，本数据包括监测时间、梁端横截面左侧底部竖向位移w1(mm)、梁端横截面右侧底部竖向位移w2(mm)等，并对敏感信息进行加密处理。2、算法规则：对采集得到的数据进行计算，通过数字图像相关计算梁端横截面微小位移变化，通过两侧梁端位移计算梁体整体结构的梁端转角(°)，梁端转角(°)=（w1-w2）/L*180/3.14，L为梁端底部宽度。再根据设置的转角阈值判断梁体是否有倾覆风险，转角阈值通过有限元数值仿真计算出独柱墩桥梁发生倾覆风险的转角数值，再根据该转角阈值设置三种风险等级，一级风险为转角阈值的30%以内，二级风险为转角阈值的30%~60%，三级风险为60%以上。

In the field of bridge structural health monitoring, machine vision technology has become an important method for monitoring bridge beam-end displacement due to its advantages of high precision and non-contact detection. By installing high-definition industrial cameras on bridge piers and artificial targets at key measurement points, the system can capture and process image data in real time when heavy vehicles pass, and then generate a dataset containing key information such as monitoring time, vertical displacement of the left bottom of the beam-end cross-section, vertical displacement of the right bottom of the beam-end cross-section, bottom width of the beam end, and beam-end rotation angle.

This dataset can be used for bridge maintenance decision-making, structural safety analysis, scientific research and simulation prediction, effectively preventing disasters, optimizing maintenance plans, providing reference data models for bridge structural health research, simulating and detecting potential safety hazards of bridges, providing scientific basis for bridge maintenance and reinforcement, and serving as a reference for bridge structural health research.

1. Data Collection: The original data consists of bridge structural health monitoring data collected by the company's equipment. This dataset includes monitoring time, vertical displacement of the left bottom of the beam-end cross-section w1 (mm), vertical displacement of the right bottom of the beam-end cross-section w2 (mm), etc., and sensitive information has been encrypted.

2. Algorithm Rules: Calculate the collected data: obtain the micro displacement changes of the beam-end cross-section through digital image correlation, and calculate the beam-end rotation angle (°) of the overall beam structure based on the displacements at both beam ends. The formula is: beam-end rotation angle (°) = (w1 - w2)/L * 180 / 3.14, where L is the bottom width of the beam end. Then judge whether the beam body has overturning risk according to the set rotation threshold. The rotation threshold refers to the rotation angle value when a single-column pier bridge has overturning risk calculated via finite element numerical simulation, and three risk levels are set based on this threshold: Level 1 risk is within 30% of the rotation threshold, Level 2 risk is 30% to 60% of the rotation threshold, and Level 3 risk is above 60%.