Intelligent construction refers to the integration of digital modeling, sensor networks, automation, and data analytics throughout the building lifecycle to generate, manage, and share a computable digital representation of a physical facility that supports design, construction, and operational decision-making ^[1]. The foundational technology is building information modeling, which creates a three-dimensional object-oriented model embedding geometric, material, cost, schedule, and performance data, and extends it with real-time data from site sensors, Internet-of-Things devices, and terrestrial laser scanning to form a digital twin that synchronizes the physical construction process with its virtual model in near real time ^[2]. The approach supports automated quantity takeoff, multi-disciplinary clash detection, construction progress tracking, resource allocation optimization, and predictive safety monitoring, and it relies on standardized open data exchange schemas such as the Industry Foundation Classes to enable interoperability across different software platforms and among all participating project stakeholders throughout the entire built facility lifecycle ^[3].