• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Zhao, Linlin (Zhao, Linlin.) | Liu, Zhansheng (Liu, Zhansheng.) | Mbachu, Jasper (Mbachu, Jasper.)

收录:

EI Scopus SCIE PubMed

摘要:

Prefabrication (PC) projects have many advantages, such as cost and energy savings and waste reduction. However, some problems still exist that hamper the development of prefabrication projects. To improve PC project performance and advance innovation in construction, this study introduces an innovative method that incorporates Radio Frequency Identification (RFID) and Long Range (LoRa) technologies, sensor networks, the BIM model and cloud computing to automatically collect, analyze and display real-time information about PC components. It can locate PC components on a construction site and monitor their structural performance during the installation process. RFID technology and strain sensors were used to collect the required data on a construction site. All the data was transmitted to a server using LoRa technology. Then, the cloud-based Building Information Modelling (BIM) model of the project was developed to store and vividly present project information and real-time onsite data. Moreover, the cloud-based BIM model enables project team members to access the project information from anywhere by using mobile devices. The proposed system was tested on a real PC project to validate its effectiveness. The results indicate that the sensor network can provide reliable data via LoRa technology, and a PC component can be accurately located on site. Also, the monitoring data of structural performance for the PC component during the installation process is acceptable. The proposed method using innovative technologies can improve PC project performance and help industry professionals by providing sufficient required information.

关键词:

cloud-based BIM IoTs LoRa prefabrication components RFID sensor networks

作者机构:

  • [ 1 ] [Zhao, Linlin]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Liu, Zhansheng]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Mbachu, Jasper]Bond Univ, Fac Soc & Design, Gold Coast 4226, Australia

通讯作者信息:

  • [Liu, Zhansheng]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China

查看成果更多字段

相关关键词:

相关文章:

来源 :

SENSORS

年份: 2019

期: 19

卷: 19

3 . 9 0 0

JCR@2022

ESI学科: CHEMISTRY;

ESI高被引阀值:66

JCR分区:2

被引次数:

WoS核心集被引频次: 29

SCOPUS被引频次: 33

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 3

在线人数/总访问数:973/2913703
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司