Construction resource efficiency improvement by Long Range Wide Area Network tracking and monitoring

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Construction resource efficiency improvement by Long Range Wide Area Network tracking and monitoring. / Teizer, J.; Neve, H.; Li, H.; Wandahl, S.; König, J.; Ochner, B.; König, M.; Lerche, J.

I: Automation in Construction, Bind 116, 103245, 08.2020.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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Teizer, J. ; Neve, H. ; Li, H. ; Wandahl, S. ; König, J. ; Ochner, B. ; König, M. ; Lerche, J. / Construction resource efficiency improvement by Long Range Wide Area Network tracking and monitoring. I: Automation in Construction. 2020 ; Bind 116.

Bibtex

@article{4d4f165023f2499198376b91eb396a34,
title = "Construction resource efficiency improvement by Long Range Wide Area Network tracking and monitoring",
abstract = "Construction resource tracking and monitoring is among the top priorities in an industry that is in continuous pursuit of reducing waste. The concept of applying real-time location sensing (RTLS) technology has already been introduced in commercial construction applications. These report in a business process the position of valuable construction resources such as equipment, materials, and lately also personnel. While several other communication protocols exist (e.g., GMS, BLE, RFID), unfortunately little is known about the performance and applications of Long Range (LoRa), wireless data communication technology for very-long-range transmissions up to several kilometers at low power consumption. This paper first introduces the need for such technology and then explains the integration of LoRa in an Internet of Things (IoT) network, which enables to connect, collect, and exchange data for construction applications. A case study evaluates Long Range Wide Area Network (LoRaWAN) in realistic and human-centric construction work environments, i.e., error, reliability, and other practical benefits. The experiences made with the developed LoRa-technology are in particular useful for demonstrating its applicability in construction logistics and lean management services.",
keywords = "Construction resource efficiency, Continuous improvement, Global Navigation Satellite System (GNSS), Internet of Things (IoT), Location tracking and monitoring, Long Range Wide Area Network (LoRaWAN), Productivity, Radio Frequency Identification (RFID), Ultra Wideband (UWB), Work sampling",
author = "J. Teizer and H. Neve and H. Li and S. Wandahl and J. K{\"o}nig and B. Ochner and M. K{\"o}nig and J. Lerche",
year = "2020",
month = aug,
doi = "10.1016/j.autcon.2020.103245",
language = "English",
volume = "116",
journal = "Automation in Construction",
issn = "0926-5805",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Construction resource efficiency improvement by Long Range Wide Area Network tracking and monitoring

AU - Teizer, J.

AU - Neve, H.

AU - Li, H.

AU - Wandahl, S.

AU - König, J.

AU - Ochner, B.

AU - König, M.

AU - Lerche, J.

PY - 2020/8

Y1 - 2020/8

N2 - Construction resource tracking and monitoring is among the top priorities in an industry that is in continuous pursuit of reducing waste. The concept of applying real-time location sensing (RTLS) technology has already been introduced in commercial construction applications. These report in a business process the position of valuable construction resources such as equipment, materials, and lately also personnel. While several other communication protocols exist (e.g., GMS, BLE, RFID), unfortunately little is known about the performance and applications of Long Range (LoRa), wireless data communication technology for very-long-range transmissions up to several kilometers at low power consumption. This paper first introduces the need for such technology and then explains the integration of LoRa in an Internet of Things (IoT) network, which enables to connect, collect, and exchange data for construction applications. A case study evaluates Long Range Wide Area Network (LoRaWAN) in realistic and human-centric construction work environments, i.e., error, reliability, and other practical benefits. The experiences made with the developed LoRa-technology are in particular useful for demonstrating its applicability in construction logistics and lean management services.

AB - Construction resource tracking and monitoring is among the top priorities in an industry that is in continuous pursuit of reducing waste. The concept of applying real-time location sensing (RTLS) technology has already been introduced in commercial construction applications. These report in a business process the position of valuable construction resources such as equipment, materials, and lately also personnel. While several other communication protocols exist (e.g., GMS, BLE, RFID), unfortunately little is known about the performance and applications of Long Range (LoRa), wireless data communication technology for very-long-range transmissions up to several kilometers at low power consumption. This paper first introduces the need for such technology and then explains the integration of LoRa in an Internet of Things (IoT) network, which enables to connect, collect, and exchange data for construction applications. A case study evaluates Long Range Wide Area Network (LoRaWAN) in realistic and human-centric construction work environments, i.e., error, reliability, and other practical benefits. The experiences made with the developed LoRa-technology are in particular useful for demonstrating its applicability in construction logistics and lean management services.

KW - Construction resource efficiency

KW - Continuous improvement

KW - Global Navigation Satellite System (GNSS)

KW - Internet of Things (IoT)

KW - Location tracking and monitoring

KW - Long Range Wide Area Network (LoRaWAN)

KW - Productivity

KW - Radio Frequency Identification (RFID)

KW - Ultra Wideband (UWB)

KW - Work sampling

UR - http://www.scopus.com/inward/record.url?scp=85085273151&partnerID=8YFLogxK

U2 - 10.1016/j.autcon.2020.103245

DO - 10.1016/j.autcon.2020.103245

M3 - Journal article

AN - SCOPUS:85085273151

VL - 116

JO - Automation in Construction

JF - Automation in Construction

SN - 0926-5805

M1 - 103245

ER -