Autonomous as-Built Verification: AI-Driven Protocols for Real-Time Documentation in Mega-Projects

This research introduces a groundbreaking framework for Real-Time As-Built Verification within the Construction OS ecosystem. In mega-projects, the delay between physical execution and final documentation often leads to critical data loss and high rework costs. This paper proposes an autonomous solution that eliminates this "Verification Lag." The system integrates LiDAR-to-BIM Delta Tracking and Computer Vision feature recognition to perform structural and MEP auditing during the printing or assembly phase. By treating documentation as a dynamic byproduct of robotic execution, the framework ensures that the final Digital Twin is a 100% accurate reflection of the built reality. Key Research Highlights: Delta Analysis Engine: Real-time comparison between point cloud data and BIM IFC files to maintain zero-tolerance structural integrity. Execution-Sync Documentation: Collapsing the traditional survey-report cycle into a single event where "Execution = Documentation." Blockchain-Backed Audit Trails: Integrating immutable ledgers to ensure that As-Built records are legally binding and transparent for global stakeholders. Subterranean Accuracy: Utilizing autonomous agents to verify underground infrastructure before backfilling, mitigating long-term maintenance risks. This paper is essential for Civilization Engineering stakeholders looking to implement AI-driven transparency and financial accountability in large-scale infrastructure and smart city developments.