Identifying productive working patterns at construction sites using BLE sensor networks

Developments in the Built Environment

卷:4

Soungho Chae¹  Yaowen Yang²  Lipi Mohanty² 

[1] Kajima Technical Research Institute, 449269, Singapore;

[2] School of Civil and Environmental Engineering, 50 Nanyang Avenue, Nanyang Technological University, 639798, Singapore;

关键词: Location tracking;    Bluetooth low energy;    Construction productivity;    Pattern recognition;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown