Integration of Artificial Intelligence in Building Construction Management: Optimizing Cost and Schedule

DOI

10.2991/978-94-6463-398-6_50How to use a DOI?

Keywords

Construction; Construction plan; Sustainability; Artificial Intelligence (AI); Machine Learning; Optimization Algorithms

Abstract

In the context of industrialization in the construction industry and the growing focus on carbon neutrality, the sector is rapidly shifting towards sustainability, digitalization, and the application of Artificial Intelligence (AI). This review explores current trends in this transformative landscape, with a focus on three key themes: machine learning, optimization algorithms, and AI in the Internet of Things (IoT). It highlights the benefits of using AI in construction and assesses its current state. The review also examines AI applications in various construction scenarios, including quality, cost, schedule control, and safety management, discussing advances and challenges in each area. It summarizes implementation issues and anticipates future directions for AI in construction. Additionally, a case study from a university experimental base is presented, demonstrating the use of AI algorithms, specifically the Particle Swarm Optimization (PSO) algorithm, to optimize construction project plans. This AI-driven approach effectively balances time and cost considerations, offering valuable insights for practical applications. Overall, this integrated approach bridges the gap between theory and real-world implementation, supporting interdisciplinary solutions that harness AI's potential to advance the construction industry and align with environmental sustainability goals.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Shengyu Liu
PY  - 2024
DA  - 2024/04/24
TI  - Integration of Artificial Intelligence in Building Construction Management: Optimizing Cost and Schedule
BT  - Proceedings of the 2023 5th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2023)
PB  - Atlantis Press
SP  - 525
EP  - 532
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-398-6_50
DO  - 10.2991/978-94-6463-398-6_50
ID  - Liu2024
ER  -