Dynamic cost control methods for computer-integrated engineering based on digital twins

This paper presents a digital twin-based dynamic cost control model for computer-integrated engineering projects.Built upon BIM component modelling, the proposed approach establishes a synchronised virtual-physical interaction framework to support real-time cost monitoring and adaptive regulation.The novelty of this work lies in three aspects: a bidirectional mapping mechanism between BIM components and construction states, a multidimensional cost analysis model integrating time-series and spatial distribution features, and a rule-engine-driven closed-loop feedback mechanism for cost deviation detection and control.Experimental results demonstrate that the proposed model achieves high estimation accuracy across key construction processes, with cost fluctuation margins of 2.8% during concrete pouring and 1.6% during reinforcement operations.The results confirm the effectiveness of real-time feedback in identifying high-risk processes and improving dynamic cost control performance.