[1]严肖锋,孙贤斌,邹贻权,等. 基于数字孪生的桥梁拆除多维模型[J].湖北工业大学学报,2022,(5):110-114.
　YAN Xiaofeng,SUN Xianbin,ZOU Yiquan,et al. Multi-dimensional Model of Demolishing Old Bridge Based on Digital Twin[J].,2022,(5):110-114.
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 基于数字孪生的桥梁拆除多维模型()
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《湖北工业大学学报》[ISSN:1003-4684/CN:42-1752/Z]

卷:
期数:
2022年第5期
页码:
110-114
栏目:
湖北工业大学学报
出版日期:
2022-10-25

文章信息/Info

Title:
 Multi-dimensional Model of Demolishing Old Bridge Based on Digital Twin
文章编号:
1003-4684(2022)05-0110-05
作者:
 严肖锋;  孙贤斌;  邹贻权;  庄子婧
 湖北工业大学土木建筑与环境学院， 湖北 武汉 430068
Author(s):
 YAN Xiaofeng;  SUN Xianbin;  ZOU Yiquan;  ZHUANG Zijing
 School of Civil Engin.,Architecture and Environment,Hubei Univ.of Tech.，Wuhan 430068, China
关键词:
 ; 桥梁拆除;  数字孪生;  框架搭建
Keywords:
 ; bridge demolition;  digital twin;  frame building
分类号:
TU74
文献标志码:
A
摘要:
 进入经济发展的新时代，许多老旧桥梁的安全性、适用性及耐久性等各项功能均难以满足现代城市交通发展的新需求，亟需拆除重建。为了安全、快速、经济的实现桥梁拆除，提出一种基于数字孪生的桥梁智能拆除方法，该方法基于数字孪生理论和数字孪生五维模型，综合运用云计算、大数据、人工智能、物联网等关键技术和BIM（Building Information Modeling）模型构建了基于数字孪生的桥梁智能拆除方法框架。通过数据共享、信息可视化、智能分析决策等手段，提高安全预警水平，增强决策能力，为桥梁拆除行业向信息化、智能化转型提供了支持。
Abstract:
 In the new era of economic development, the safety, applicability, durability and other functions of many old bridges cannot meet the new needs of modern urban traffic development, so they are in urgent need of demolition and reconstruction. In order to realize bridge removal safely, quickly and economically, an intelligent bridge removal method based on digital twin is proposed. The method is based on the digital twin theory and the digital twin five-dimensional model. By comprehensively applying cloud computing, big data, artificial intelligence, Internet of Things and other key technologies and Building Information Modeling (BIM) model, the framework of intelligent bridge demolition method based on digital twin is constructed. By means of data sharing, information visualization, intelligent analysis and decision making, the level of safety early warning is improved and the decision-making ability is enhanced, which provides support for the bridge demolition industry to transform to information and intelligence.

参考文献/References:

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备注/Memo

备注/Memo:
［收稿日期］ 2021-08-17
［第一作者］ 严肖锋（1995-），男，湖北巴东人，湖北工业大学硕士研究生，研究方向为建筑信息化
更新日期/Last Update: 2022-10-26