WANG Jian, YU Yilong, LIU Gen, LIU Xu, JIANG Yulong, HAN Houzeng. Method and Progress for GNSS Multi-source Fusion Deformation Monitoring in Super-Tall Buildings[J]. Geomatics and Information Science of Wuhan University, 2025, 50(6): 1065-1076. DOI: 10.13203/j.whugis20240317
Citation: WANG Jian, YU Yilong, LIU Gen, LIU Xu, JIANG Yulong, HAN Houzeng. Method and Progress for GNSS Multi-source Fusion Deformation Monitoring in Super-Tall Buildings[J]. Geomatics and Information Science of Wuhan University, 2025, 50(6): 1065-1076. DOI: 10.13203/j.whugis20240317

Method and Progress for GNSS Multi-source Fusion Deformation Monitoring in Super-Tall Buildings

  • Objectives Deformation monitoring of super-tall buildings is critical for ensuring the long-term safety and stability. Multi-source fusion deformation monitoring technology based on global navigation satellite system (GNSS) plays a vital role, but the application of GNSS multi-source sensors for such monitoring lacks a systematic approach. Current challenges include the narrow range of deformation parameters, incomplete GNSS/multi-source fusion models, weak data coupling capabilities, and low intelligence in monitoring and early warning systems.
    Methods To address these issues, this paper proposes a GNSS multi-source fusion deformation monitoring method based on a perception-transmission-fusion-application framework. Key deformation parameters for super-tall buildings, including translation, settlement, vibration, torsion, deflection, and tilt, are identified. The development of GNSS deformation monitoring models is also reviewed. Furthermore, it improves inertial measurement unit (IMU) -based vibration, translation-settlement, and torsional deformation, and enables comprehensive monitoring of multiple deformation parameters.
    Results The proposed method is validated using data from a large-scale shaking table simulation and a case study of super-tall buildings. The results confirm the effectiveness of IMU-based accelerometer integration model, Mahony complementary filter-based torsion monitoring model, and the applications of IMU for vibration monitoring in super-tall buildings.
    Conclusions This paper offers a robust GNSS/IMU multi-source sensor fusion solution, and provides strong support for the safety monitoring and operational management of super-tall buildings throughout their lifecycle.
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