Dynamic Quality Management in Wind Power Construction: Integrating Digital Twins with BIM and IoT
The increasing complexity of wind power construction projects necessitates advanced quality management systems to address real-time challenges effectively. This paper introduces a digital twin-based framework integrating Building Information Modeling (BIM) and Internet of Things (IoT) technologies to enhance quality management. IoT sensors provide continuous, real-time data acquisition from personnel, materials, equipment, inspection, methods, and the environment, while BIM offers a spatial platform for visualization and analysis. The system's architecture includes automated data collection, parametric information integration, and predictive analytics, enabling comprehensive and proactive quality control. Preliminary results from pilot implementations highlight significant improvements in material efficiency, response times to quality issues, and stakeholder collaboration, demonstrating the system's potential for scalable and adaptive applications in wind power construction.
Authors
- Shihua Wang (ORCID: https://orcid.org/0009-0004-7146-933X)
- Xiaodan Yuan (ORCID: https://orcid.org/0000-0003-1153-7789)
- Xu Zhao (ORCID: https://orcid.org/0000-0001-9667-359X)
Institutions
- Shanghai Electric (China) (CN)
Publication Details
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1109/eespe63401.2025.10986901
- Primary Topic
- BIM and Construction Integration
- Type
- article
- Field-Weighted Citation Impact
- 0.00