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.

[1]  Luc Martens,et al.  TDoA-Based Outdoor Positioning with Tracking Algorithm in a Public LoRa Network , 2018, Wirel. Commun. Mob. Comput..

[2]  Geoffrey Qiping Shen,et al.  An Internet of Things-enabled BIM platform for on-site assembly services in prefabricated construction , 2018 .

[3]  Paul M. Goodrum,et al.  Long-Term Impact of Equipment Technology on Labor Productivity in the U.S. Construction Industry at the Activity Level , 2004 .

[4]  Russell Kenley,et al.  Quantifying levels of wasted time in construction with meta-analysis , 2005 .

[5]  Kamel S. Saidi,et al.  Static and dynamic performance evaluation of a commercially-available ultra wideband tracking system , 2011 .

[6]  Søren Wandahl,et al.  Continuous Improvements at Operator Level , 2020 .

[7]  Jochen Teizer,et al.  An information fusion approach for filtering GNSS data sets collected during construction operations , 2014, Adv. Eng. Informatics.

[8]  Gregory Howell,et al.  The Underlying Theory of Project Management Is Obsolete , 2008, IEEE Engineering Management Review.

[9]  Zhongke Shi,et al.  A performance evaluation of vision and radio frequency tracking methods for interacting workforce , 2011, Adv. Eng. Informatics.

[10]  Ray Y. Zhong,et al.  Prefabricated construction enabled by the Internet-of-Things , 2017 .

[11]  Lieyun Ding,et al.  Safety barrier warning system for underground construction sites using Internet-of-Things technologies , 2017 .

[12]  Edward J. Jaselskis,et al.  Implementing Radio Frequency Identification in the Construction Process , 2003 .

[13]  D. Buchanan,et al.  No Going Back: A Review of the Literature on Sustaining Organizational Change , 2005 .

[14]  Dae-Young Kim,et al.  LoRaWAN Technology for Internet of Things , 2015 .

[15]  Patricio A. Vela,et al.  Fusion of Photogrammetry and Video Analysis for Productivity Assessment of Earthwork Processes , 2017, Comput. Aided Civ. Infrastructure Eng..

[16]  Jochen Teizer,et al.  Real-time Positioning via LoRa for Construction Site Logistics , 2018, Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC).

[17]  Burcu Akinci,et al.  Automating the task of tracking the delivery and receipt of fabricated pipe spools in industrial projects , 2006 .

[18]  William Nelson Use of Circular Error Probability in Target Detection , 1988 .

[19]  J. Kotter Leading change: why transformation efforts fail , 2009, IEEE Engineering Management Review.

[20]  David Grau,et al.  Automatically tracking engineered components through shipping and receiving processes with passive identification technologies , 2012 .

[21]  Ronald L. Jacobs,et al.  Institutionalizing organizational change through cascade training , 2002 .

[22]  Sylvain Kubler,et al.  Opportunities for enhanced lean construction management using Internet of Things standards , 2016 .

[23]  Burcu Akinci,et al.  Tracking Components and Maintenance History within a Facility Utilizing Radio Frequency Identification Technology , 2007 .

[24]  Jochen Teizer,et al.  Heat map generation for predictive safety planning: preventing struck-by and near miss interactions between workers-on-foot and construction equipment , 2016 .

[25]  Jochen Teizer,et al.  Leveraging passive RFID technology for construction resource field mobility and status monitoring in a high-rise renovation project , 2012 .

[26]  Manford H. Kuhn LEWIN, KURT. Field Theory of Social Science: Selected Theoretical Papers. (Edited by Dorwin Cartwright.) Pp. xx, 346. New York: Harper & Brothers, 1951. $5.00 , 1951 .

[27]  Oliver Kopp,et al.  A Detailed Analysis of IoT Platform Architectures: Concepts, Similarities, and Differences , 2018, Internet of Everything.

[28]  Glenn Ballard,et al.  Work Flow Variation and Labor Productivity: Case Study , 2011 .

[29]  Patricio A. Vela,et al.  Performance evaluation of ultra wideband technology for construction resource location tracking in harsh environments , 2011 .

[30]  Anton A. Huurdeman The worldwide history of telecommunications , 2003 .

[31]  Jochen Teizer,et al.  Internet of Things (IoT) for Integrating Environmental and Localization Data in Building Information Modeling (BIM) , 2017 .

[32]  Matthias Neges,et al.  Improving Indoor Location Tracking Quality for Construction and Facility Management , 2017 .

[33]  Jochen Teizer Wearable, wireless identification sensing platform: Self-Monitoring Alert and Reporting Technology for Hazard Avoidance and Training (SmartHat) , 2015, J. Inf. Technol. Constr..

[34]  Jochen Teizer,et al.  Mobile 3D Mapping for Surveying Earthwork Using an Unmanned Aerial Vehicle (UAV) , 2013 .

[35]  R. J. Danchik,et al.  An Overview of Transit Development , 1998 .

[36]  Paul M. Goodrum,et al.  Activity Analysis for Direct-Work Rate Improvement in Construction , 2011 .

[37]  Jeffrey K. Liker,et al.  The Toyota way fieldbook : a practical guide for implementing Toyota's 4Ps , 2004 .

[38]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[39]  Changyoon Kim,et al.  Ubiquitous Sensor Network for Construction Material Monitoring , 2011 .

[40]  Martin Fischer,et al.  Integrating Project Delivery , 2017 .

[41]  Steven K. Thompson,et al.  Sample Size for Estimating Multinomial Proportions , 1987 .

[42]  Olga Golovina and Jochen Teizer BIM4LIFE: GNSS and BIM Data Fusion for Mapping Human-Machine Interaction , 2017 .

[43]  Olli Seppänen,et al.  Real-time resource tracking for analyzing value-adding time in construction , 2019, Automation in Construction.

[44]  Eric Marks,et al.  Evaluation of the Position and Orientation of (Semi-) Passive RFID Tags for the Potential Application in Ground Worker Proximity Detection and Alert Devices in Safer Construction Equipment Operation , 2013 .

[45]  Xiangyu Wang,et al.  Differential received signal strength based RFID positioning for construction equipment tracking , 2019, Adv. Eng. Informatics.

[46]  Jochen Teizer,et al.  Automatic spatio-temporal analysis of construction site equipment operations using GPS data , 2013 .

[47]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[48]  Bon-Gang Hwang,et al.  Improving labour productivity in process construction maintenance and shutdown/turnaround projects , 2018, International Journal of Construction Management.

[49]  Bhargav Dave,et al.  A framework for integrating BIM and IoT through open standards , 2018, Automation in Construction.