超高层建筑变形GNSS多源融合监测方法及进展

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

  • 摘要: 超高层建筑变形监测是确保建筑长期安全运行的重要保障。针对全球导航卫星系统(global navigation satellite system,GNSS)多源融合超高层建筑变形监测面临的难题,首先构建了一套感-传-融-用一体化的GNSS多源融合变形监测解决方案,重点分析了超高层变形监测关键参数,梳理了GNSS变形监测单差、双差、三差模型的发展历程,总结了惯性测量单元振动监测、平移-沉降监测及扭转变形监测模型。然后在此基础上,阐述了经典数理统计算法、卡尔曼滤波及其衍生算法、智能学习算法的多源数据融合监测技术框架,并采用大型多功能振动台阵模拟超高层建筑的监测数据及超高层变形监测案例进行相关技术验证。结果表明,所提监测体系具有较好的可行性和实用性。最后对未来GNSS多源融合监测技术进行了展望。

     

    Abstract:
    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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