Design of a BIM-based Dynamic Monitoring and Audit Traceability System for Engineering Costs

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Z. L. Zhou

Abstract

Dynamic monitoring and audit traceability of engineering costs require integrated processing of BIM components, cost data, contract information, and construction progress. Traditional cost-management workflows based on manual quantity take-off and scattered documents have limited ability to support real-time control and complete audit paths. This study proposes a BIM-based dynamic monitoring and audit traceability system for engineering costs. A component-level mapping mechanism integrates bills of quantities, contract information, construction progress records, and cost items into a unified data structure. Based on BIM parametric modeling, quantities are automatically extracted, dynamic cost models are updated through timestamps and version control, and cost deviations are identified through planned-value, actual-cost, and deviation-value comparison. A schedule-cost coupling model is further introduced to detect abnormal cost changes caused by progress delays or rushed work. For traceability, a data-log and version-tracking mechanism records cost data generation, modification, and confirmation, while multi-source association auditing links components, business events, and cost results. Experiments show that cost-calculation time decreases from 128.5 s to 42.7 s, deviation identification increases to 92.8%, and audit-path completeness reaches 95.6%. The system supports BIM-based data integration, engineering monitoring, and traceable decision support.

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How to Cite
Zhou, Z. L. (2026). Design of a BIM-based Dynamic Monitoring and Audit Traceability System for Engineering Costs. Advanced Electromagnetics, 15(3), 8230–8235. https://doi.org/10.7716/aem.v15i3.3942
Section
Research Articles

References

G. Fobiri, I. Musonda, and F. Muleya, “Unlocking the full potential of reality capture for construction project cost monitoring: a mixed review,” Journal of Engineering, Design and Technology, vol. 23, no. 3, pp. 830-853, 2025, doi: 10.1108/JEDT-05-2022-0231.

View Article

S. Alaloul W, M. Alzubi K, B. Malkawi A, et al., “Productivity monitoring in building construction projects: a systematic review,” Engineering, Construction and Architectural Management, vol. 29, no. 7, pp. 2760-2785, 2022, doi: 10.1108/ECAM-03-2021-0211.

View Article

S. Yousif O, R. Zakaria, N. Wahi, et al., “Monitoring the construction industry towards a construction revolution 4.0,” International Journal of Sustainable Development and Planning, vol. 17, no. 2, pp. 633-641, 2022, doi: 10.18280/ijsdp.170228.

View Article

M. Parsamehr, S. Perera U, C. Dodanwala T, et al., “A review of construction management challenges and BIM-based solutions: perspectives from the schedule, cost, quality, and safety management,” Asian Journal of Civil Engineering, vol. 24, no. 1, pp. 353-389, 2023, doi: 10.1007/s42107-022-00501-4.

View Article

C. Obiuto N, A. Adebayo R, K. Olajiga O, et al., “Integrating artificial intelligence in construction management: Improving project efficiency and cost-effectiveness,” Int. J. Adv. Multidisc. Res. Stud, vol. 4, no. 2, pp. 639-647, 2024, doi: 10.62225/2583049X.2024.4.2.2550.

View Article

A. Rehman and M. Islam, “IoT-enabled construction project monitoring systems a meta-analytical review of effi-ciency gains in large-scale infrastructure,” American Journal of Scholarly Research and Innovation, vol. 2, no. 01, pp. 130-166, 2023, doi: 10.63125/fb995k33.

View Article

O. Sanusi B, “The role of data-driven decision-making in reducing project delays and cost overruns in civil engineering projects,” SAMRIDDHI: A Journal of Physical Sciences, Engineering and Technology, vol. 16, no. 04, pp. 182-192, 2024, doi: 10.18090/samriddhi.v16i04.08.

View Article

S. Paul, T. Monfret, F. Courboulex, et al., “Monitoring of Local Earthquakes in Haiti Using Low-Cost, Citizen-Hosted Seismometers and Regional Broadband Stations,” Seismological Research Letters, vol. 94, no. 6, pp. 2725-2739, 2023, doi: 10.1785/0220230059.

View Article