Semantic web-assisted progress monitoring of crane operations in construction projects

The rising importance of cranes in modern construction has led to the need for more efficient crane monitoring and operational management. Previous studies have focused on acquiring crane monitoring data through Internet of Things (IoT) devices. However, they offer limited data reasoning capacity and only understand a few particular construction activities with distinct patterns. This restricts the applicability and generalisability of crane monitoring systems in real-world projects. Thus, this study proposes a semantic web-based method to enhance the reasoning of crane monitoring data by correlating as-is and as-planned information of crane operations from different IoT devices and information systems. The proposed method was validated through laboratory experiments, substantiating the potential for monitoring construction progress and enhancing crane utilisation.