摘要
为了探究智能监测技术在铁路桥梁深基坑施工中的应用效果,创新结合物联网、云平台及人工智能等技术,构建深基坑智能监测系统并进行试应用,助力桥梁传统施工实现智能化升级,从数据采集到仿真建模、机器学习,结合BIM协同,实现基坑施工全过程数字管控;运用数字孪生技术实现监测数据实时展示和对危险的预判预警,并根据评估结果对未来发展趋势预判预演,为保障桥梁深基坑安全施工提供强有力的数据支撑。
The paper integrates Internet of Things,cloud platform and artificial intelligence into the intelligent monitoring system for deep foundation pits of railway bridge to study the application results.The building and the trial application of such system facilitates the intelligent upgrade of the traditional way of construction.As BIM is used in data acquisition,simulation&modeling as well as machine learning,the whole construction process is put under digital control and management.Digital twin helps real-time monitoring of data as well as the prediction and early warning of hazards,the results of which give a clearer picture for future development,providing data supports to the safe construction of deep foundation pits.
作者
刘星
LIU Xing(Beijing Jingwei Information Technology Co.,Ltd.,Beijing 100081,China)
出处
《铁路技术创新》
2022年第4期118-124,共7页
Railway Technical Innovation
基金
中国国家铁路集团有限公司科技研究开发计划项目(N2020G023)。
关键词
铁路桥梁
深基坑
物联网
人工智能
BIM
有限元
预警预报
railway bridge
deep foundation pit
Internet of Things
artificial intelligence
BIM
finite element
early warning and prediction