CIB Conferences
Abstract
Scaffolding safety is a significant concern in the construction industry. To address this, researchers have proposed various safety monitoring approaches. However, current intelligent monitoring systems fall short of fully integrating real-time data, and predictive capabilities, reducing their overall effectiveness in ensuring scaffolding safety. Therefore, this study aims to develop a conceptual framework to advance the intelligent scaffolding monitoring system based on cyber-physical systems (CPS) and digital twins (DT) integration. The framework focuses on developing a DT-enabled scaffolding risk assessment model (SRAM), a sensor-based real-time data collection system, and an intelligent cyber-physical scaffolding risk alert. This research provides essential insights for more accurate accident risk assessments, more efficient data collection system, and faster warning mechanisms for construction safety.
The paper will be presented:
Online
Primary U.N. Sustainable Development Goals (SDG)
Industry, Innovation and Infrastructure - - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Secondary U.N. Sustainable Development Goals (SDG)
Industry, Innovation and Infrastructure - - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Primary CIB Task Group OR Working commission
W078 – Information Technology for Construction
Secondary CIB Task Group OR Working commission
W078 – Information Technology for Construction
Recommended Citation
Wang, Xiaowei; Ko, Chien-Ho; and Haug, John A
(2025)
"A Conceptual Framework for Intelligent Scaffolding Monitoring System,"
CIB Conferences: Vol. 1
Article 75.
DOI: https://doi.org/10.7771/3067-4883.2099