基于组件式GIS的桥梁健康监测数据集成及预警研究  

Research on Bridge Health Monitoring Data Integration and Early Warning Based on Component GIS

作　　者：魏鑫 吴学伟[1] 程培嵩 WEI Xin;WU Xuewei;CHENG Peisong(College of civil engineering,Northeast Forestry University,HaErbin,Heilongjiang 150000,China;Mudanjiang Survey and Mapping Institute,Mudanjiang,Heilongjiang 157000,China)

机构地区：[1]东北林业大学土木工程学院,黑龙江哈尔滨150000 [2]牡丹江市勘察测绘研究院,黑龙江牡丹江157000

出　　处：《公路工程》2020年第6期79-85,共7页Highway Engineering

基　　金：国家自然科学基金项目(51908107);科技创新引导专项(ZY17C11-1)。

摘　　要：为了对桥梁监测项目中已有的大量数据进行高效的集成管理与可视化分析,并对其监测数据进行实时动态预警,利用组件式GIS软件Supermap iobjects9D(2019)开发平台高度的可伸缩性、二三维一体化等特点,以牡丹江红岭高架桥为背景搭建二三维一体化监测场景。阐述了对监测信息、BIM桥梁模型等多源数据的快速集成方法;并根据项目实际监测数据分析,考虑季节性温度变化的影响,建立了温度作用与应变监测值之间的时变多元回归模型。实践表明,该平台提高了监测过程中数据的可操作性及可视化水平;多元回归模型参数随时间动态变化,可从实测应变监测值中实时分离温度效应,受季节性温度变化影响小,可长期使用。In order to carry out efficient integrated management and visual analysis of a large number of existing data in the bridge monitoring project,and carry out real-time dynamic early warning of the monitoring data,based on the characteristics of Supermap iobjects9D(2019)development platform with component GIS software,such as high scalability and two-3d integration,a two-3d integrated monitoring scene was built with mudanjiang hongling viaduct as the background.The integration method of monitoring information,BIM bridge model and other multi-source data was expounded;And based on the analysis of the actual monitoring data of the project,the time-varying multiple regression model between the temperature action and the strain monitoring value is established considering the seasonal temperature change.Practice shows that the platform improves the operability and visualization level of data in the monitoring process.The parameters of the regression model change dynamically with time,and the temperature effect can be separated from the measured strain monitoring value in real time.

关 键 词：组件式GIS BIM SUPERMAP 健康监测 可视化 多元回归模型 

分 类 号：U446[建筑科学—桥梁与隧道工程]