|本期目录/Table of Contents|

[1]刘占省,白文燕,杜修力.融合数字孪生与混合现实的震损建筑指导加固方法[J].建筑科学与工程学报,2022,39(04):146-156.[doi:10.19815/j.jace.2022.04015]
 LIU Zhan-sheng,BAI Wen-yan,DU Xiu-li.Guidance Method for Earthquake-damaged Building Reinforcement Integrating Digital Twin and Mixed Reality[J].Journal of Architecture and Civil Engineering,2022,39(04):146-156.[doi:10.19815/j.jace.2022.04015]
点击复制

融合数字孪生与混合现实的震损建筑指导加固方法(PDF)
分享到:

《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-sheng1,2, BAI Wen-yan1,2, DU Xiu-li1,2
(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.

参考文献/References:

[1] ANIL E B,AKINCI B,KURC O,et al.Building-information-modeling-based Earthquake Damage Assessment for Reinforced Concrete Walls[J].Journal of Computing in Civil Engineering,2016,30(4):04015076.
[2]XU Z,ZHANG H Z,LU X Z,et al.A Prediction Method of Building Seismic Loss Based on BIM and FEMA P-58[J].Automation in Construction,2019,102:245-257.
[3]VITIELLO U,CIOTTA V,SALZANO A,et al.BIM-based Approach for the Cost-optimization of Seismic Retrofit Strategies on Existing Buildings[J].Automation in Construction,2019,98:90-101.
[4]温留汉·黑沙,张永山,汪大洋.工程结构地震易损性与经济损失评估研究现状[J].建筑科学与工程学报,2015,32(6):17-29.
WENLIUHAN Heisha,ZHANG Yong-shan,WANG Da-yang.Review on Seismic Vulnerability and Economic Loss Assessment of Engineering Structures[J].Journal of Architecture and Civil Engineering,2015,32(6):17-29.
[5]张红歌.BIM技术在既有建筑改造中的应用探究[D].成都:西南交通大学,2016.
ZHANG Hong-ge.Application of Renovation in Existing Buildings with BIM Technology[D].Chengdu:Southwest Jiaotong University,2016.
[6]WILLIAMS R,ERKOYUNCU J A,MASOOD T,et al.Augmented Reality Assisted Calibration of Digital Twins of Mobile Robots[J].IFAC-PapersOnLine,2020,53(3):203-208.
[7]刘占省,张安山,邢泽众,等.基于数字孪生的智能建造五维模型及关键方法研究[C]//中国土木工程学会.中国土木工程学会2020年学术年会论文集.北京:中国建筑工业出版社,2020:119-131.
LIU Zhan-sheng,ZHANG An-shan,XING Ze-zhong,et al.Research on Five-dimensional Intelligent Construction Model and Key Methods Based on Digital Twin[C]//CCES.CCES 2020 Academic Annual Conference Proceedings.Beijing:China Architecture & Building Press,2020:119-131.
[8]刘占省,邢泽众,黄 春,等.装配式建筑施工过程数字孪生建模方法[J].建筑结构学报,2021,42(7):213-222.
LIU Zhan-sheng,XING Ze-zhong,HUANG Chun,et al.Digital Twin Modeling Method for Construction Process of Assembled Building[J].Journal of Building Structures,2021,42(7):213-222.
[9]SHIM C S,DANG N S,LON S,et al.Development of a Bridge Maintenance System for Prestressed Concrete Bridges Using 3D Digital Twin Model[J].Structure and Infrastructure Engineering,2019,15(10):1319-1332.
[10]NEGRI E,FUMAGALLI L,MACCHI M.A Review of the Roles of Digital Twin in CPS-based Production Systems[J].Procedia Manufacturing,2017,11:939-948.
[11]GLAESSGEN E,STARGEL D.The Digital Twin Paradigm for Future NASA and US Air Force Vehicles[C]//AIAA.Proceedings of the 53rd AIAA/ASME/ASCE/AHS/ASC Structures,Structural Dynamics and Materials Conference.Honolulu:AIAA,2012:1-14.
[12]陶 飞,刘蔚然,张 萌,等.数字孪生五维模型及十大领域应用[J].计算机集成制造系统,2019,25(1):1-18.
TAO Fei,LIU Wei-ran,ZHANG Meng,et al.Five-dimension Digital Twin Model and Its Ten Applications[J].Computer Integrated Manufacturing Systems,2019,25(1):1-18.
[13]LIU Z S,MENG X T,XING Z Z,et al.Digital Twin-based Safety Risk Coupling of Prefabricated Building Hoisting[J].Sensors,2021,21(11):3583.
[14]刘占省,刘子圣,孙佳佳,等.基于数字孪生的智能建造方法及模型试验[J].建筑结构学报,2021,42(6):26-36.
LIU Zhan-sheng,LIU Zi-sheng,SUN Jia-jia,et al.Intelligent Construction Methods and Model Experiments Based on Digital Twins[J].Journal of Building Structures,2021,42(6):26-36.
[15]LU Q C,CHEN L,LI S,et al.Semi-automatic Geometric Digital Twinning for Existing Buildings Based on Images and CAD Drawings[J].Automation in Construction,2020,115:103183.
[16]LIU Z S,SHI G L,JIANG A T,et al.Intelligent Discrimination Method Based on Digital Twins for Analyzing Sensitivity of Mechanical Parameters of Prestressed Cables[J].Applied Sciences,2021,11(4):1485.
[17]LIU Z S,SHI G L,ZHANG A S,et al.Intelligent Tensioning Method for Prestressed Cables Based on Digital Twins and Artificial Intelligence[J].Sensors,2020,20(24):7006.
[18]刘占省,张安山,王文思,等.数字孪生驱动的冬奥场馆消防安全动态疏散方法[J].同济大学学报(自然科学版),2020,48(7):962-971.
LIU Zhan-sheng,ZHANG An-shan,WANG Wen-si,et al.Dynamic Fire Evacuation Guidance Method for Winter Olympic Venues Based on Digital Twin-driven Model[J].Journal of Tongji University(Natural Science),2020,48(7):962-971.
[19]LIU Z S,BAI W Y,DU X L,et al.Digital Twin-based Safety Evaluation of Prestressed Steel Structure[J].Advances in Civil Engineering,2020,2020:8888876.
[20]ZHU Z X,LIU C,XU X.Visualisation of the Digital Twin Data in Manufacturing by Using Augmented Reality[J].Procedia CIRP,2019,81:898-903.
[21]LU Q C,XIE X,PARLIKAD A K,et al.Digital Twin-enabled Anomaly Detection for Built Asset Monitoring in Operation and Maintenance[J].Automation in Construction,2020,118:103277.
[22]MILGRAM P,TAKEMURA H,UTSUMI A,et al.Augmented Reality:A Class of Displays on the Reality-virtuality Continuum[C]//HARI D.Proceedings of SPIE:Telemanipulator and Telepresence Technologies.Boston:SPIE,1995:282-292.
[23]KE S Q,XIANG F,ZHANG Z,et al.A Enhanced Interaction Framework Based on VR,AR and MR in Digital Twin[J].Procedia CIRP,2019,83:753-758.
[24]CHALHOUB J,AYER S K.Using Mixed Reality for Electrical Construction Design Communication[J].Automation in Construction,2018,86:1-10.
[25]CHENG J C P,CHEN K Y,CHEN W W.State-of-the-art Review on Mixed Reality Applications in the AECO Industry[J].Journal of Construction Engineering and Management,2020,146(2):03119009.
[26]WANG X Y,DUNSTON P S.Comparative Effectiveness of Mixed Reality-based Virtual Environments in Collaborative Design[J].IEEE Transactions on Systems,Man,and Cybernetics,Part C(Applications and Reviews),2011,41(3):284-296.
[27]WU W,HARTLESS J,TESEI A,et al.Design Assessment in Virtual and Mixed Reality Environments:Comparison of Novices and Experts[J].Journal of Construction Engineering and Management,2019,145(9):04019049.
[28]KOPSIDA M,BRILAKIS I.Real-time Volume-to-plane Comparison for Mixed Reality-based Progress Monitoring[J].Journal of Computing in Civil Engineering,2020,34(4):04020016.
[29]KARAASLAN E,BAGCI U,CATBAS F N.Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems[J].Transportation Research Record:Journal of the Transportation Research Board,2019,2673(12):413-424.
[30]EL AMMARI K,HAMMAD A.Remote Interactive Collaboration in Facilities Management Using BIM-based Mixed Reality[J].Automation in Construction,2019,107:102940.
[31]LIU Z S,BAI W Y.Building Information Modeling Methods for Post-earthquake Retrofitting Visualization of Buildings Using Augmented Reality[J].Applied Sciences,2021,11(12):5739.
[32]王 月,张树生,白晓亮.点云和视觉特征融合的增强现实装配系统三维跟踪注册方法[J].西北工业大学学报,2019,37(1):143-151.
WANG Yue,ZHANG Shu-sheng,BAI Xiao-liang.A 3D Tracking and Registration Method Based on Point Cloud and Visual Features for Augmented Reality Aided Assembly System[J].Journal of Northwestern Polytechnical University,2019,37(1):143-151.
[33]侯守明,韩 吉,张煜东,等.基于视觉的增强现实三维注册技术综述[J].系统仿真学报,2019,31(11):2206-2215.
HOU Shou-ming,HAN Ji,ZHANG Yu-dong,et al.Survey of Vision-based Augmented Reality 3D Registration Technology[J].Journal of System Simulation,2019,31(11):2206-2215.
[34]Ergonomics of Human-system Interaction — Part 11:Usability:Definitions and Concepts:ISO 9241-11:2018[S].London:Ergonomics of Human-system Interaction,2018.

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]
[2]戴成元,梁邦勋,程 可,等.基于数字孪生的装配式建筑施工过程动态调度研究[J].建筑科学与工程学报,2024,41(04):83.[doi:10.19815/j.jace.2022.09098]
 DAI Chengyuan,LIANG Bangxun,CHENG Ke,et al.Study on dynamic scheduling of prefabricated building construction process based on digital twin[J].Journal of Architecture and Civil Engineering,2024,41(04):83.[doi:10.19815/j.jace.2022.09098]

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。
更新日期/Last Update: 2022-07-10