Multi-dimensional Management for High-rise Residential Construction Based on AI and BIM Integration

DOI

10.2991/978-94-6239-600-5_32How to use a DOI?

Keywords

AI-assisted Construction; BIM; High-rise Residential; Progress Management; Safety Management; Intelligent Construction

Abstract

The management of high-rise residential construction projects is often challenged by inefficient progress control, poor technical coordination, and delayed safety risk warnings. While existing studies have explored AI or BIM in isolation, their integration for multi-building synergistic optimization remains underdeveloped. To address this gap, this paper proposes a novel multi-dimensional management framework based on the deep integration of Artificial Intelligence (AI) and Building Information Modeling (BIM). A three-layer architecture encompassing “Data Collection, Intelligent Analysis, and Decision Application” is established, which integrates AI technologies including LSTM, YOLOv8, and genetic algorithms with BIM model data. This integration enables dynamic progress prediction, intelligent clash optimization, and real-time safety risk identification. The framework was validated through a case study of a large-scale residential project comprising 11 buildings (total floor area: 90,000 m²). The results demonstrated a 41.7% reduction in schedule deviation rate, an 83.3% improvement in clash detection efficiency, and a 95.8% accuracy in safety hazard identification. This research confirms that the AI-BIM integrated system transcends the limitations of single-building management by enabling global resource allocation and cross-building schedule coordination, providing a replicable technical pathway for similar complex projects.

Copyright

© 2026 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.

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TY  - CONF
AU  - Yue Li
AU  - Xiaodong Li
AU  - Yu Hu
AU  - Tao Wang
AU  - Zhiming Wang
AU  - Zhixing Liu
AU  - Yi Tu
AU  - Zhaxi Songlang
PY  - 2026
DA  - 2026/02/26
TI  - Multi-dimensional Management for High-rise Residential Construction Based on AI and BIM Integration
BT  - Proceedings of the 2025 8th International Conference on Civil Architecture, Hydropower and Engineering Management (CAHEM 2025)
PB  - Atlantis Press
SP  - 333
EP  - 339
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-600-5_32
DO  - 10.2991/978-94-6239-600-5_32
ID  - Li2026
ER  -