Multi-domain ubiquitous digital twin model for information management of complex infrastructure systems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Multi-domain ubiquitous digital twin model for information management of complex infrastructure systems

Published:2023-04 Issue: Volume:56 Page:101951
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Jiang Yishuo,Li Ming,Wu Wei,Wu Xiqiang,Zhang Xiaoning,Huang Xinyan,Zhong Ray Y.,Huang George G.Q.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference56 articles.

1. ‘Cognitive facility management’: Definition, system architecture, and example scenario;Xu;Autom. Constr.,2019

2. A framework for using mobile computing for information management on construction sites;Chen;Autom. Constr.,2011

3. Information lifecycle management with RFID for material control on construction sites;Lee;Adv. Eng. Inf.,2013

4. The use of dependence structure matrix and domain mapping matrix in managing uncertainty in multiple project situations;Danilovic;Int. J. Proj. Manag.,2005

5. Integration of ifc objects and facility management work information using Semantic Web;Kim;Autom. Constr.,2018

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Digital twin-enabled synchronized construction management: A roadmap from construction 4.0 towards future prospect;Developments in the Built Environment;2024-10

2. Comprehensive digital twin for infrastructure: A novel ontology and graph-based modelling paradigm;Advanced Engineering Informatics;2024-10

3. Computational methodologies for critical infrastructure resilience modeling: A review;Advanced Engineering Informatics;2024-10

4. Smart real-time evaluation of tunnel fire risk and evacuation safety via computer vision;Safety Science;2024-09

5. Heterogeneous intensity-based DBSCAN (iDBSCAN) model for urban attention distribution in digital twin cities;Digital Engineering;2024-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3