隧道沉降因素分析数据集

1、数据采集：获取隧道名称并指定隧道监测点，采集指定时间段内隧道的原始监测数据，包括沉降、环境温度、环境湿度、载荷、基础变形等信息。
2、数据处理：利用传递测量算法对原始监测数据进行精准转换与校正，提取隧道监测点在隧道沉降前后的关联因素信息，如：环境温度、环境湿度、荷载、基础变形与沉降等数据，统计沉降量、环境温度变化量、环境湿度变化量、载荷变化量、基础变形量，揭示沉降与环境/荷载因素间的动态作用机制，构成隧道沉降因素分析数据集。
3、数据应用：根据隧道沉降因素分析数据集，为隧道养护提供实时决策依据，降低塌方事故风险，并精准定位沉降主因，避免盲目加固，节省维护成本。

1. Data Collection: Obtain the tunnel name and designate tunnel monitoring points, then collect the original monitoring data of the tunnel within a specified time period, including information such as settlement, ambient temperature, ambient humidity, load, and foundation deformation.
2. Data Processing: Use the transmission measurement algorithm to perform accurate transformation and correction on the original monitoring data, extract the correlation factor information of tunnel monitoring points before and after tunnel settlement, such as data of ambient temperature, ambient humidity, load, foundation deformation and settlement, calculate the settlement amount, ambient temperature change, ambient humidity change, load change and foundation deformation, reveal the dynamic action mechanism between settlement and environmental/load factors, and form the tunnel settlement factor analysis dataset.
3. Data Application: Based on the tunnel settlement factor analysis dataset, provide real-time decision-making basis for tunnel maintenance, reduce the risk of collapse accidents, accurately locate the main causes of settlement, avoid blind reinforcement, and save maintenance costs.

搜集汇总

背景与挑战

背景概述

该数据集由贵州宏信创达工程检测咨询有限公司自行产生，专注于隧道沉降因素分析，数据规模为38M，每月更新。它通过采集沉降、环境温度、湿度、载荷和基础变形等监测数据，量化环境与荷载对隧道沉降的影响权重，旨在为隧道养护提供实时决策依据，降低塌方事故风险并节省维护成本。