Intelligent Construction Site: On Low Cost Automated Indoor Localization Using Bluetooth Low Energy Beacons

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Intelligent Construction Site: On Low Cost Automated Indoor Localization Using Bluetooth Low Energy Beacons. / Badihi , Behnam; Zhao, Jianyu; Zhuang, Siyan; Seppänen, Olli; Jäntti, Riku.

2019 IEEE Conference on Wireless Sensors. IEEE, 2020. s. 29-35.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

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Bibtex - Lataa

@inproceedings{5f37f48bb7bd45ec926c7659b170ea9a,
title = "Intelligent Construction Site: On Low Cost Automated Indoor Localization Using Bluetooth Low Energy Beacons",
abstract = "The construction jobsites are highly dynamic environments involved with labor-intensive and manual tasks that suffer from inefficiency and mis-management. To remedy these issues, production control within the scope of lean construction has been a hot topic in academia and industry. To this end, we have developed a real-time coordination-based tracking system using low-cost Bluetooth Low Energy beacons. This system is implemented according to the trilateration method in order to acquire the real-time location of resources and movement trajectory in the construction jobsites. The prototype is tested and implemented in the real construction site in China. The results show that the implemented tracking system can be used in the construction sites depending on the accuracy level required in the project.",
keywords = "intelligent construction site, indoor positioning, Bluetooth Low Energy, Onsite management, automated tracking system",
author = "Behnam Badihi and Jianyu Zhao and Siyan Zhuang and Olli Sepp{\"a}nen and Riku J{\"a}ntti",
year = "2020",
month = "1",
day = "30",
doi = "10.1109/ICWISE47561.2019.8971829",
language = "English",
isbn = "9781728133126",
pages = "29--35",
booktitle = "2019 IEEE Conference on Wireless Sensors",
publisher = "IEEE",
address = "United States",

}

RIS - Lataa

TY - GEN

T1 - Intelligent Construction Site: On Low Cost Automated Indoor Localization Using Bluetooth Low Energy Beacons

AU - Badihi , Behnam

AU - Zhao, Jianyu

AU - Zhuang, Siyan

AU - Seppänen, Olli

AU - Jäntti, Riku

PY - 2020/1/30

Y1 - 2020/1/30

N2 - The construction jobsites are highly dynamic environments involved with labor-intensive and manual tasks that suffer from inefficiency and mis-management. To remedy these issues, production control within the scope of lean construction has been a hot topic in academia and industry. To this end, we have developed a real-time coordination-based tracking system using low-cost Bluetooth Low Energy beacons. This system is implemented according to the trilateration method in order to acquire the real-time location of resources and movement trajectory in the construction jobsites. The prototype is tested and implemented in the real construction site in China. The results show that the implemented tracking system can be used in the construction sites depending on the accuracy level required in the project.

AB - The construction jobsites are highly dynamic environments involved with labor-intensive and manual tasks that suffer from inefficiency and mis-management. To remedy these issues, production control within the scope of lean construction has been a hot topic in academia and industry. To this end, we have developed a real-time coordination-based tracking system using low-cost Bluetooth Low Energy beacons. This system is implemented according to the trilateration method in order to acquire the real-time location of resources and movement trajectory in the construction jobsites. The prototype is tested and implemented in the real construction site in China. The results show that the implemented tracking system can be used in the construction sites depending on the accuracy level required in the project.

KW - intelligent construction site

KW - indoor positioning

KW - Bluetooth Low Energy

KW - Onsite management

KW - automated tracking system

U2 - 10.1109/ICWISE47561.2019.8971829

DO - 10.1109/ICWISE47561.2019.8971829

M3 - Conference contribution

SN - 9781728133126

SP - 29

EP - 35

BT - 2019 IEEE Conference on Wireless Sensors

PB - IEEE

ER -

ID: 38955227