Technical Architecture and Engineering Practice of Engineering Cost Management Empowered by Artificial Intelligence

DOI

10.2991/978-2-38476-472-3_18How to use a DOI?

Keywords

Artificial Intelligence; Engineering Cost; Machine Learning; BIM Technology; Intelligent Control

Abstract

This study explores AI-driven pathways for holistic intelligent transformation in engineering cost management, addressing traditional challenges (delayed responsiveness, accuracy gaps, cross-phase coordination barriers) to provide a systematic framework for the construction industry. From a digital-intelligent integration perspective, it establishes a “Technology-Scenario-Path” framework: examining core technologies (machine learning, NLP, computer vision-BIM integration); analyzing multi-domain (residential, hydraulic, power, railway tunnel) technology adaptation via case studies; and designing full-process transformation pathways (“data chain integration → technology chain synergy → business chain restructuring”). Results show AI reshapes cost management paradigms, shifting from experience-driven to data-driven approaches with cross-phase optimization. However, deep implementation faces four challenges: inadequate data governance, technology-business disconnect, interdisciplinary talent shortage, and algorithmic ethical risks. A four-dimensional strategy is proposed: standardized data governance, technology embedding via microservices, university-enterprise talent cultivation, and algorithmic ethics supervision, collectively offering an actionable solution for holistic intelligent transformation.

Copyright

© 2025 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  - Ling Rao
PY  - 2025
DA  - 2025/11/24
TI  - Technical Architecture and Engineering Practice of Engineering Cost Management Empowered by Artificial Intelligence
BT  - Proceedings of the 5th International Conference on Internet Technology and Educational Informatization (ITEI 2025)
PB  - Atlantis Press
SP  - 186
EP  - 202
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-472-3_18
DO  - 10.2991/978-2-38476-472-3_18
ID  - Rao2025
ER  -