A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
IFC data extension for real-time safety monitoring of automated construction in high-rise building projects
Abstract Accessing real-time data from the Automated Construction System (ACS) through diverse field sensors holds paramount importance in effective safety management. However, the challenge lies in overcoming inefficient data exchange and information integration. This study seeks to extend the Industry Foundation Class (IFC) standard to seamlessly integrate real-time safety information with the digital model. Our approach involves identifying the essential information required to describe ACS components and safety monitoring items, which is followed by an extension of the IFC schema to create comprehensive descriptions of safety-related data. Additionally, we devise an innovative parameter mapping technique to incorporate dynamic sensory data into corresponding ACS components within the BIM model. We present a case study of a construction project equipped with the ACS, which underscores the feasibility of our approach. Our findings hold substantial practical benefits and establish a robust foundation for future data-driven endeavors within the realm of ACS.
Highlights Identifying crucial information on the automated construction system (ACS) and its safety monitoring Developing the IFC extension model for ACS entities and safety monitoring items Automated parameter mapping method to incorporate real-time sensor data into IFC-based ACS model Demonstrating the smooth exchange of real-time safety monitoring data in the ACS lifting process
IFC data extension for real-time safety monitoring of automated construction in high-rise building projects
Abstract Accessing real-time data from the Automated Construction System (ACS) through diverse field sensors holds paramount importance in effective safety management. However, the challenge lies in overcoming inefficient data exchange and information integration. This study seeks to extend the Industry Foundation Class (IFC) standard to seamlessly integrate real-time safety information with the digital model. Our approach involves identifying the essential information required to describe ACS components and safety monitoring items, which is followed by an extension of the IFC schema to create comprehensive descriptions of safety-related data. Additionally, we devise an innovative parameter mapping technique to incorporate dynamic sensory data into corresponding ACS components within the BIM model. We present a case study of a construction project equipped with the ACS, which underscores the feasibility of our approach. Our findings hold substantial practical benefits and establish a robust foundation for future data-driven endeavors within the realm of ACS.
Highlights Identifying crucial information on the automated construction system (ACS) and its safety monitoring Developing the IFC extension model for ACS entities and safety monitoring items Automated parameter mapping method to incorporate real-time sensor data into IFC-based ACS model Demonstrating the smooth exchange of real-time safety monitoring data in the ACS lifting process
IFC data extension for real-time safety monitoring of automated construction in high-rise building projects
Hu, Ruibo (author) / Chen, Ke (author) / Jiang, Weiguang (author) / Luo, Hanbin (author)
2024-03-24
Article (Journal)
Electronic Resource
English
Critical Success Factors for Safety Management of High-Rise Building Construction Projects in China
| DOAJ | 2018