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

Authors: Chenchen Lai; Sheng Lin; Zhongyuan Chen

Addresses: School of Intelligent Construction, Fuzhou University of International Studies and Trade, Fuzhou, 350202, China ' The Fifth Construction Co., Ltd. of China Construction First Group Corporation, Fuzhou, 350018, China ' School of Intelligent Construction, Fuzhou University of International Studies and Trade, Fuzhou, 350202, China

Abstract: 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.

Keywords: digital twin; BIM; rule engine; sensor network; real-time feedback; data fusion; cost evolution modelling.

DOI: 10.1504/IJRIS.2026.152202

International Journal of Reasoning-based Intelligent Systems, 2026 Vol.18 No.9, pp.1 - 12

Received: 31 Oct 2025
Accepted: 20 Dec 2025
Published online: 10 Mar 2026 *