桥梁结构健康监测桥面车辆车重识别数据

桥梁结构健康监测中的桥面车辆车重识别数据，在桥梁安全管理和维护中发挥着重要作用。其应用场景主要体现在对桥梁承载能力的实时监测与评估上。具体来说，通过收集到的识别时间、车重(吨)、实测车致最大挠度等数据，可以对桥梁在不同荷载和环境条件下的状态进行全面分析，模拟判断承载能力是否满足要求。这些数据可以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数据模型。1、数据采集：通过安装在桥墩的高清工业相机与关键测点的人工靶标采集桥梁结构健康监测数据，本数据包括识别时间、车重(吨)、实测车致最大挠度(mm)、车速(km/h)、理论最大挠度、校验系数等，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，车重识别：通过实测桥梁挠度数据与车重识别模型对行驶重车的车重进行计算；车速识别：通过实测桥梁挠度曲线特征点的时间差以及相应桥梁长度，计算车辆平均速度。利用计算的车重与车速数据，对桥梁结构进行非线性数值分析，得到理论最大挠度w2，再利用公式计算校验系数：η=w1/w2，若校验系数η小于1则证明桥梁承载能力满足要求。

Vehicle weight identification data of vehicles on bridge decks for bridge structural health monitoring plays a critical role in bridge safety management and maintenance. Its primary application lies in real-time monitoring and assessment of bridge load-bearing capacity.
Specifically, with collected data including identification time, vehicle weight (ton), measured maximum deflection induced by passing vehicles and other related metrics, comprehensive analysis of the bridge's condition under various load and environmental conditions can be conducted, and simulations can be performed to judge whether the load-bearing capacity meets the specified requirements.
This data can be used to simulate and identify potential safety hazards in bridges, as well as provide scientific evidence for bridge maintenance and reinforcement. It also serves as a reference data model for bridge structural health research.

1. Data Collection: Bridge structural health monitoring data is collected via high-definition industrial cameras installed on bridge piers and artificial targets at key measurement points. This dataset includes identification time, vehicle weight (ton), measured maximum deflection induced by passing vehicles (mm), vehicle speed (km/h), theoretical maximum deflection, and verification coefficient. Sensitive information has been encrypted during processing.

2. Algorithm Rules: Calculations are performed on the collected data as follows:
- Vehicle weight identification: Calculate the weight of passing heavy vehicles using measured bridge deflection data and a vehicle weight identification model;
- Vehicle speed identification: Calculate the average vehicle speed using the time difference between characteristic points of the measured bridge deflection curve and the corresponding bridge length.
Using the calculated vehicle weight and speed data, nonlinear numerical analysis is conducted on the bridge structure to obtain the theoretical maximum deflection w2. Then, the verification coefficient is calculated using the formula: η = w1/w2. If the verification coefficient η is less than 1, it proves that the bridge's load-bearing capacity meets the requirements.

搜集汇总

数据集介绍

特点

该数据集为桥梁结构健康监测桥面车辆车重识别数据，包含4613条记录，每季度更新，用于评估桥梁承载能力。数据包括车重、车速、挠度等关键指标，通过算法计算校验系数判断桥梁安全性。