Integración de la IA en la gestión inteligente de proyectos de edificios: enfoques tecnológicos para la construcción preparada para el futuro
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
J. Selva Andina Res. Soc.
Abstract
La industria de la construcción está experimentando una transformación significativa con la integración de la Inteligencia Artificial y la Tecnología de la Información. Los proyectos de edificios inteligentes buscan mejorar la eficiencia, sostenibilidad y seguridad mediante estas tecnologías. Este estudio explora el papel de la Inteligencia Artificial en la gestión de proyectos de edificios inteligentes, centrándose en su impacto en la programación de proyectos, asignación de recursos, evaluación de riesgos y control de calidad. Se utilizó un enfoque integral que incluyó una revisión de literatura, análisis de estudios de caso, entrevistas con expertos y recopilación de datos de proyectos de edificios inteligentes. Se analizaron métricas como la eficiencia, costos y gestión del tiempo para evaluar el impacto de la Inteligencia Artificial. También se realizaron estudios comparativos entre métodos tradicionales y enfoques integrados con Inteligencia Artificial, además de análisis tecnológicos. Los hallazgos indican que la integración de la Inteligencia Artificial mejora la eficiencia, reduce los retrasos en los proyectos y optimiza la toma de decisiones mediante análisis predictivos y procesamiento de datos en tiempo real. Los sistemas impulsados por Inteligencia Artificial optimizaron la asignación de recursos y apoyaron prácticas sostenibles. Sin embargo, desafíos como la privacidad de datos, sesgos en los algoritmos y brechas de habilidades fueron identificados como barreras para una adopción generalizada.
The construction industry is undergoing a significant transformation with the integration of Artificial Intelligence (AI) and Information Technology (IT). Smart building projects aim to enhance efficiency, sustainability, and safety through these technologies. This study explores the role of AI in smart building project management, focusing on its impact on project scheduling, resource allocation, risk assessment, and quality control. A comprehensive approach was used, including a literature review, case study analysis, expert interviews, and data collection from smart building projects. Metrics such as efficiency, cost, and time management were analyzed to evaluate AI's impact. Comparative studies of traditional versus AI-integrated methods and technology analyses were conducted. Findings indicate that AI integration enhances efficiency, reduces project delays, and improves decision-making through predictive analytics and real-time data processing. AI-driven systems optimized resource allocation and supported sustainable practices. However, challenges such as data privacy, algorithm biases, and skill gaps were identified as barriers to widespread adoption. AI is a transformative force in smart building project management, offering significant benefits in efficiency, sustainability, and adaptability. While its adoption is not without challenges, addressing these issues can unlock AI's full potential, leading to more effective and future-ready construction practices. Further research is recommended to explore long-term impacts and ethical considerations of AI integration in construction projects.
The construction industry is undergoing a significant transformation with the integration of Artificial Intelligence (AI) and Information Technology (IT). Smart building projects aim to enhance efficiency, sustainability, and safety through these technologies. This study explores the role of AI in smart building project management, focusing on its impact on project scheduling, resource allocation, risk assessment, and quality control. A comprehensive approach was used, including a literature review, case study analysis, expert interviews, and data collection from smart building projects. Metrics such as efficiency, cost, and time management were analyzed to evaluate AI's impact. Comparative studies of traditional versus AI-integrated methods and technology analyses were conducted. Findings indicate that AI integration enhances efficiency, reduces project delays, and improves decision-making through predictive analytics and real-time data processing. AI-driven systems optimized resource allocation and supported sustainable practices. However, challenges such as data privacy, algorithm biases, and skill gaps were identified as barriers to widespread adoption. AI is a transformative force in smart building project management, offering significant benefits in efficiency, sustainability, and adaptability. While its adoption is not without challenges, addressing these issues can unlock AI's full potential, leading to more effective and future-ready construction practices. Further research is recommended to explore long-term impacts and ethical considerations of AI integration in construction projects.
Description
Vol. 17, No. 1