Artificial Intelligence and Machine Learning for Smart Construction: Enhancing Real-Time Monitoring and Decision Making

This book is designed to:

Bridge the Knowledge Gap Many professionals in the construction industry are unfamiliar with how AI and ML can be applied to their daily workflows. This book serves as a guide, demystifying these technologies and explaining their practical applications in construction engineering.

Highlight the Potential of AI/ML By showcasing real-world examples and case studies, the book illustrates how AI and ML are revolutionizing every phase of construction, from planning and design to execution and maintenance.

Promote Efficient Decision-Making Construction projects are often delayed or exceed budgets due to inefficient decision-making and unforeseen challenges. AI and ML empower engineers and managers to predict potential issues, optimize resources, and make informed decisions in real time, minimizing delays and cost overruns.

Emphasize Real-Time Monitoring Real-time monitoring has become a critical component of modern construction management. Using AI-powered sensors, drones, and IoT devices, project teams can continuously track progress, identify risks, and ensure quality control. This book explores these tools and their implementation in detail.

Encourage Sustainable and Resilient Practices With growing concerns over environmental sustainability, this book highlights how AI and ML can contribute to eco-friendly construction practices. By optimizing material usage, reducing energy consumption, and predicting the lifecycle performance of structures, these technologies are paving the way for a more sustainable construction industry.

Improve Project Outcomes Successful construction projects are defined by their ability to meet deadlines, stay within budget, and deliver quality results. This book demonstrates how AI and ML are becoming indispensable for achieving these goals by improving collaboration, automating repetitive tasks, and enabling predictive analytics.