Use of Artificial Intelligence in Construction

Abstract

Artificial Intelligence (AI) has been involved in the construction industry research since 1974, and it has gained exponential growth in research interest starting in the 21st century. Artificial Intelligence is divided into many branches, such as Machine Learning (ML), Artificial Neural Networks (ANN), Deep Learning (DL), Knowledge-Based Systems (KBSes), Computer Vision (CV) and Image Recognition, Natural Language Processing (NLP), Internet of Things (IoT) and Robotics. Applications of the mentioned AI branches in the construction industry are discussed here, along with the challenges for their implementation. Moreover, five case studies discuss the involvement of different AI technologies and tools in project cost forecasting, report analysis, machinery activity, safety monitoring systems, construction monitoring and reporting, and remote construction site management.

A literature review is formed to discuss the use of AI in construction. A simplified definition is given for each AI branch addressing the non-AI background readers, with examples given of the possible applications in different industries to provide a complete overview. Applications and challenges of using AI technologies and tools in construction are also discussed and investigated from academic and practical perspectives. Five case studies are explained and discussed to verify the research argument.