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Development of Intelligent Prefabs Using IoT Technology to Improve the Performance of Prefabricated Construction Projects
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 innova...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806325/ https://www.ncbi.nlm.nih.gov/pubmed/31554246 http://dx.doi.org/10.3390/s19194131 |
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author | Zhao, Linlin Liu, Zhansheng Mbachu, Jasper |
author_facet | Zhao, Linlin Liu, Zhansheng Mbachu, Jasper |
author_sort | Zhao, Linlin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6806325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68063252019-11-07 Development of Intelligent Prefabs Using IoT Technology to Improve the Performance of Prefabricated Construction Projects Zhao, Linlin Liu, Zhansheng Mbachu, Jasper Sensors (Basel) Article 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. MDPI 2019-09-24 /pmc/articles/PMC6806325/ /pubmed/31554246 http://dx.doi.org/10.3390/s19194131 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhao, Linlin Liu, Zhansheng Mbachu, Jasper Development of Intelligent Prefabs Using IoT Technology to Improve the Performance of Prefabricated Construction Projects |
title | Development of Intelligent Prefabs Using IoT Technology to Improve the Performance of Prefabricated Construction Projects |
title_full | Development of Intelligent Prefabs Using IoT Technology to Improve the Performance of Prefabricated Construction Projects |
title_fullStr | Development of Intelligent Prefabs Using IoT Technology to Improve the Performance of Prefabricated Construction Projects |
title_full_unstemmed | Development of Intelligent Prefabs Using IoT Technology to Improve the Performance of Prefabricated Construction Projects |
title_short | Development of Intelligent Prefabs Using IoT Technology to Improve the Performance of Prefabricated Construction Projects |
title_sort | development of intelligent prefabs using iot technology to improve the performance of prefabricated construction projects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806325/ https://www.ncbi.nlm.nih.gov/pubmed/31554246 http://dx.doi.org/10.3390/s19194131 |
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