Author(s)

Jie Ding

Corresponding Author

Jie Ding

Abstract

Aiming at the problems of data island, dynamic response lag and subjective decision-making in traditional construction project cost management mode, this paper puts forward a dynamic prediction and intelligent management and control scheme based on big data, BIM and IoT (Internet of Things). By integrating multi-source heterogeneous data, the scheme constructs a data center, and establishes a hierarchical intelligent prediction and optimization system by using machine learning and RL (reinforcement learning) algorithms. At the same time, the intelligent management and control system framework of "cloud-edge-end" collaborative architecture is designed to realize the closed-loop management of data perception, analysis, decision-making and execution. The empirical study shows that the scheme can effectively improve the accuracy of cost prediction, realize active and intelligent cost control, and promote the paradigm transition from "experience-driven" to "data-driven" in the construction industry.

Keywords

Big data, dynamic prediction, intelligent control, construction project cost