Application of building information modeling-blockchain integration in the Architecture, Engineering, and Construction / Facilities Management industry: A review

块链 建筑信息建模 云计算 建筑 计算机科学 系统工程 计算机安全 工程类 操作系统 运营管理 艺术 视觉艺术 调度(生产过程)
作者
Tongrui Zhang,Dat Tien Doan,Jin‐Kyu Kang
出处
期刊:Journal of building engineering [Elsevier BV]
卷期号:77: 107551-107551 被引量:6
标识
DOI:10.1016/j.jobe.2023.107551
摘要

The Architecture, Engineering, and Construction/Facilities Management (AEC/FM) industry has been evolving to embrace highly efficient collaboration. This has emphasized the need to apply cloud Building Information Modelling (BIM) technology. However, conventional cloud storage and computing in BIM are not completely effective in providing trusted networks. The application of relevant blockchain technology to achieve this goal is essential. In this regard, the engagement of BIM-blockchain integration is anticipated to promote promising resolutions. Such a proposed system is expected to provide trusted networks which exclude the third party. Likewise, a decentralized system can largely reduce the risk of operating failure. Hence, this study aims to investigate the potential of BIM-blockchain integration for distributed storage and computing in the AEC/FM industry. A three-step review approach provides a comprehensive literature review on BIM, blockchain, and BIM-blockchain integration. Focusing on distributed storage and computing, this research has reviewed 215 papers. It proposes an engagement of BIM-blockchain integration in the AEC/FM industry to facilitate the effective implementation of working collaboration. This research concluded that with BIM-blockchain integration, distributed storage and computing in the AEC/FM industry can avoid various issues and get several benefits.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
无心的紫山完成签到,获得积分10
1秒前
单于访枫发布了新的文献求助30
2秒前
小马甲应助ruby采纳,获得10
2秒前
2秒前
2秒前
一支梦笔完成签到,获得积分10
3秒前
3秒前
3秒前
4秒前
4秒前
4秒前
diyanbruker发布了新的文献求助10
5秒前
5秒前
5秒前
Wenky发布了新的文献求助30
6秒前
张靖雯发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
7秒前
sdvsvsdvd发布了新的文献求助10
7秒前
鸡蛋酱完成签到 ,获得积分10
7秒前
华仔应助chen采纳,获得10
8秒前
稳重的东蒽完成签到,获得积分10
8秒前
9秒前
MeiyanZou发布了新的文献求助10
9秒前
Minn完成签到,获得积分10
9秒前
10秒前
10秒前
10秒前
nb发布了新的文献求助10
10秒前
Shayulajiao发布了新的文献求助10
11秒前
12秒前
12秒前
充电宝应助ZXY采纳,获得10
12秒前
12秒前
小新完成签到,获得积分10
13秒前
hhh完成签到,获得积分10
13秒前
隐形曼青应助萧萧丶采纳,获得10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6442992
求助须知:如何正确求助?哪些是违规求助? 8256980
关于积分的说明 17584489
捐赠科研通 5501550
什么是DOI,文献DOI怎么找? 2900761
邀请新用户注册赠送积分活动 1877782
关于科研通互助平台的介绍 1717445