Abstract
Location tracking of workers and resources at construction sites has been continually researched to improve construction management. In this paper, Bluetooth low energy (BLE) device-based networks were used to monitor the movement and location of workers; this was followed by analysis of the location data to evaluate worker performance. The network uses a BLE tag as the “tracked” device. The system was implemented at a construction site. Measurement data shows it has a location accuracy in the range of 5–10 m depending on the positioning of the receiver gateway. The sensor network is suitable for implementation at a construction site to quantify productivity. The data was analysed with artificial neural networks to identify working patterns in correlation with the assigned area; a method is suggested to classify the location corresponding to maximum time spent by a worker.
| Original language | English |
|---|---|
| Article number | 100025 |
| Journal | Developments in the Built Environment |
| Volume | 4 |
| DOIs | |
| Publication status | Published - Nov 2020 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2020 The Author(s)
ASJC Scopus Subject Areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Building and Construction
- Architecture
- Civil and Structural Engineering
- Materials Science (miscellaneous)
Keywords
- Bluetooth low energy
- Construction productivity
- Location tracking
- Pattern recognition