Exploración de inteligencia artificial y tecnología BIM para el seguimiento automatizado del avance de obra en viviendas unifamiliares

Abstract

This research analyzes the construction progress monitoring system in single-family housing projects in Ecuador, a problem that often leads to delays, cost overruns, and quality deficiencies. The study explores the potential integration of Artificial Intelligence (AI) technologies with the Building Information Modeling (BIM) methodology within the construction sector, highlighting its importance as a strategy to improve technical efficiency, traceability, and decision-making processes. The research follows a qualitative and exploratory approach, based on documentary review, analysis of international case studies, and interviews with architects in the field. The findings indicate that, although fully automated systems are not yet entirely feasible in the local context, the progressive integration of BIM, visual capture technologies, and AI-based tools is technically and economically viable. This integration contributes to improved schedule control, reduction of rework, and overall professionalization of construction management practices in single-family housing projects.