基于时空对齐的多雷达火灾三维监测研究

    Research on Multi-Radar 3D Fire Monitoring Based on Spatiotemporal Alignment

    • 摘要: 针对火灾环境下单基雷达观测视角受限及多雷达系统异步采集导致三维形变反演困难的问题,提出一种融合时空对齐与空间几何约束的多雷达三维形变场反演方法。首先,利用调频连续波与差分干涉技术获取高精度视线向位移;其次,构建公共时空基准轴,采用三次样条插值算法对多源异步位移序列进行时序重采样与同步校正,并结合加权最小二乘法建立物理一致的三维位移反演模型。联合同济大学开展了缩尺比为1:2的两层钢框架火灾倒塌试验,并三维位移反演结果与拉线位移计监测数据进行对比分析,结果表明:该方法有效消除了多雷达时空不同步引入的系统误差,反演的三维位移场与拉线位移计监测数据在趋势上一致。该方法实现了火灾环境下结构三维形变的高精度、非接触监测,适用于复杂环境下的形变预警。

       

      Abstract: To address the challenges of 3D deformation inversion caused by the limited viewing angle of single radars and the asynchronous acquisition of multi-radar systems under fire conditions, this paper proposes a multi-radar 3D deformation field inversion method integrating spatiotemporal alignment and spatial geometric constraints. Firstly, high-precision Line-of-Sight (LOS) displacements are obtained using Frequency Modulated Continuous Wave (FMCW) and differential interferometry techniques. Secondly, a common spatiotemporal reference axis is constructed. The cubic spline interpolation algorithm is employed to perform temporal resampling and synchronization correction on multi-source asynchronous displacement sequences. Subsequently, a physically consistent 3D displacement inversion model is established using the Weighted Least Squares (WLS) method. A fire-induced collapse test of a two-story steel frame with a 1:2 scaling ratio was conducted jointly with Tongji University, and the 3D inversion results were compared with monitoring data from wire displacement meters. The results indicate that the proposed method effectively eliminates systematic errors introduced by multi-radar asynchrony, and the inverted 3D displacement field is consistent in trend with the wire displacement meter data. This method achieves high-precision, non-contact monitoring of structural 3D deformation under fire conditions and is suitable for deformation early warning in complex environments.

       

    /

    返回文章
    返回