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《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

卷:

39卷

期数:

2022年04期

页码:

146-156

栏目:

出版日期:

2022-07-12

文章信息/Info

Title:

Guidance Method for Earthquake-damaged Building Reinforcement Integrating Digital Twin and Mixed Reality

文章编号:

1673-2049(2022)04-0146-11

作者:

刘占省^1,2,白文燕^1,2,杜修力^1,2

(1. 北京工业大学 城市建设学部,北京 100124; 2. 北京工业大学 城市与工程安全减灾教育部重点实验室,北京 100124)

Author(s):

LIU Zhan-sheng^1,2, BAI Wen-yan^1,2, DU Xiu-li^1,2

(1. Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China; 2. Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing 100124, China)

关键词:

数字孪生;  混合现实;  震损建筑;  加固

Keywords:

digital twin;  mixed reality;  earthquake-damaged building;  reinforcement

分类号:

TU745

DOI:

10.19815/j.jace.2022.04015

文献标志码:

A

摘要:

震损建筑的加固修复是提高建筑抗震能力的关键环节,充分理解加固方法和流程有助于修复震后建筑和提高抗震能力。借鉴数字孪生和混合现实技术发展理念,提出适用于震损建筑加固的智能化指导方法,建立基于数字孪生与混合现实的指导损伤加固系统。首先搭建数字孪生模型,包括4个运行空间、各空间中的操作以及孪生数据,搭建孪生数据库对大量数据进行管理。为实现物理空间与虚拟空间的双向映射,借助HoloLens开发适用于混合现实的人机交互机制。最后为评估所提出方法的实用性和有效性,准备了一个试验场景进行可用性测试。采用立意抽样法招募了20名参与者,他们分别在2D纸质版或者DTMR-DRS模块的指导下执行相同的加固任务,记录他们完成任务的时间、错误率并要求他们填写调查问卷。结果表明:与传统的纸质文件相比,开发的DTMR-DRS系统传递信息更为快捷,文字-语音-视频-模型的展示也使得施工指导更为立体全面,在帮助加固施工人员提高施工效率和降低返工率上具有显著的优势,为相关知识体系的研究做出了贡献。

Abstract:

The reinforcement and repair process of earthquake-damaged building is a key factor in improving its seismic capability. A thorough understanding of reinforcement methods and processes will aid in repairing earthquake-damaged buildings and improving seismic capability. Based on the development concept of digital twin and mixed reality, an intelligent guidance method suitable for earthquake-damaged building reinforcement was proposed, and a guidance reinforcement system based on digital twin and mixed reality was established. Firstly, a digital twin model was built, including four operating spaces, operations in each space and twin data. Twin databases were built to manage large amounts of data. In order to realize bidirectional mapping between physical space and virtual space, a human-computer interaction mechanism suitable for mixed reality was developed with the help of HoloLens. Finally, to evaluate the practicability and effectiveness of the proposed method, an experimental scenario was prepared for usability testing. Twenty participants were recruited using purposive sampling, and they performed the same reinforcement task under the guidance of the 2D paper version or the DTMR-DRS module. Their time to complete the task, error rate were recorded and they were asked to fill out a questionnaire.The results show that compared with traditional paper documents, the developed system DTMR-DRS transmits information more quickly. The display of text-voice-video-model also makes the construction guidance more stereoscopic and comprehensive. It has significant advantages in helping reinforcement constructors to improve work efficiency and reduce rework rates, making contribution to the research of related knowledge systems.

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相似文献/References:

[1]刘占省,史国梁,焦泽栋.基于数字孪生的预应力钢结构施工安全智能化分析方法[J].建筑科学与工程学报,2022,39(04):157.[doi:10.19815/j.jace.2021.07126]
　LIU Zhan-sheng,SHI Guo-liang,JIAO Ze-dong.Intelligent Analysis Method for Prestressed Steel Structure Construction Safety Based on Digital Twin[J].Journal of Architecture and Civil Engineering,2022,39(04):157.[doi:10.19815/j.jace.2021.07126]

备注/Memo

备注/Memo:

收稿日期:2022-04-06
基金项目:国家重点研发计划项目(2019YFC1509304-06)
作者简介:刘占省(1983-),男,河南濮阳人,副教授,博士研究生导师,工学博士,E-mail:lzs4216@163.com。

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更新日期/Last Update: 2022-07-10