IoT-Driven Worker Localization for Real-Time Scaffold Safety
| International Journal of Civil Engineering |
| © 2025 by SSRG - IJCE Journal |
| Volume 12 Issue 12 |
| Year of Publication : 2025 |
| Authors : Chethan.V, Nanjundaswamy P |
10.14445/23488352/IJCE-V12I12P104
How to Cite?
Chethan.V, Nanjundaswamy P, "IoT-Driven Worker Localization for Real-Time Scaffold Safety," SSRG International Journal of Civil Engineering, vol. 12, no. 12, pp. 50-58, 2025. Crossref, https://doi.org/10.14445/23488352/IJCE-V12I12P104
Abstract:
Worker safety on scaffold platforms remains a consistent challenge in the construction industry, where falls from height are a foremost cause of fatalities. Current safety monitoring systems are often imperfect due to the lack of dependable real-time altitude and position tracking, reducing their efficiency in preventing accidents. This study proposes a novel IoT-driven scaffold safety framework that integrates RF triangulation with Received Signal Strength Indicator (RSSI) modelling to attain precise worker localization. The framework categorizes scaffolds into three zones: Non-Critical, Critical, and High-Risk, and incessantly monitors worker movement, generating automated hazard alerts when workers enter unsafe areas. Zone thresholds are dynamically adjusted to account for variability, ensuring efficient performance under varied construction conditions. Experimental validation conducted in both open and obstructed environments achieved localization accuracies of 98.11% and 94.46%, respectively, outpacing conventional monitoring approaches. The proposed solution not only improves real-time hazard detection but also supports proactive supervisory compliance with OSHA and ANSI A10.8 standards. The findings highlight the potential of RF-based IoT systems to provide scalable, practical, and consistent safety monitoring in high-risk scaffold environments.
Keywords:
IoT, Scaffold Safety, Real-time Localization, RF Triangulation, Worker Safety.
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