Journal of Engineering, Project, and Production Management, 2026, 16(3), 2026-111
Dynamic Cost Control of Construction Engineering Projects Using Multi-Source Data Fusion
Lecturer, School of Economics and Management, Henan University of Urban Construction, Pingdingshan, 467036, China, E-mail: zhongkaiji115@163.com
Project Management
Received January 23, 2026; revised March 6, 2026; accepted March 19, 2026
Available online April 8, 2026
Abstract: The cost of large and complex construction projects is highly dynamic during the construction process due to design changes, material price fluctuations, on-site visas, and other factors. Traditional methods are difficult to capture the true cost status promptly, which can easily lead to the delayed discovery of deviations and missed control windows. In response to this pain point, this study proposes a dynamic cost control framework that combines digital twins and multi-source data fusion and takes a general building complex project as an example to conduct experimental verification. The results show that the actual cumulative cost of the project is 19.8287 million yuan, and the relative prediction error of the proposed method is 0.08%. The proposed method can effectively improve the cost prediction accuracy during the entire project cycle, and the relative error of the cumulative cost prediction in the later stages of the project is controlled within 1%. The number of over-limit incidents in each construction stage is significantly reduced. The number of over-limit incidents in the main structure stage is reduced from 4 to 1, a decrease of 75.00%. Research shows that the dynamic cost control method that combines digital twins and multi-source data fusion can realize the transformation of project cost from post-event control to process control. This study provides a feasible technical path and decision-making support method for the whole-process cost management of complex construction projects.
Keywords: Dynamic control of project cost, state vector, feedback adjustment, cost management.
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Citation: Ji, Z. (2026). Dynamic Cost Control of Construction Engineering Projects Using Multi-Source Data Fusion. Journal of Engineering, Project, and Production Management, 16(3), 2026-111.
