| 融合GNSS和加速度计监测数据的超高建筑动态特性分析 |
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| 引用本文： | 王亚荣,黄声享,匡翠林. 融合GNSS和加速度计监测数据的超高建筑动态特性分析[J]. 测绘通报, 2019, 0(8): 14-19. DOI: 10.13474/j.cnki.11-2246.2019.0243 |
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| 作者姓名： | 王亚荣 黄声享 匡翠林 |
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| 作者单位： | 武汉大学测绘学院,湖北武汉430079;地球空间信息技术协同创新中心,湖北武汉430079;中南大学地球科学与信息物理学院,湖南长沙,410083 |
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| 基金项目： | 国家自然科学基金（41274020） |
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| 摘 要： | GNSS和加速度计是目前动态监测超高建筑环境载荷变形的主要手段。GNSS具有无需通视、可直接获取三维位移等优点，但受精度和采样率的限制，其对微变形及高频振动信息不敏感；而加速度计具有高精度和高采样率等优点，但无法监测超高建筑低频的似静态变形。为充分发挥这两种传感器的各自优势，提出利用多速率Kalman滤波和RTS平滑方法对超高建筑GNSS和加速度计监测数据进行融合处理。试验结果表明，与单一的GNSS监测技术相比，该方法有利于削弱GNSS高频噪声的影响，提高位移数据的采样率，可有效识别超高建筑的低频和高频振动频率，提高对微变形振动的监测能力；与单一的加速度计监测技术相比，该方法可以准确监测超高建筑的低频变形信息，具有良好的工程应用价值。
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| 关 键 词： | GNSS 加速度计 结构振动 数据融合 多速率卡尔曼滤波 RTS平滑 |
| 收稿时间： | 2018-12-24 |
| 修稿时间： | 2019-06-21 |
Fusion of GNSS and accelerometer monitoring data for dynamic monitoring of high-rise buildings |
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| WANG Yarong,HUANG Shengxiang,KUANG Cuilin. Fusion of GNSS and accelerometer monitoring data for dynamic monitoring of high-rise buildings[J]. Bulletin of Surveying and Mapping, 2019, 0(8): 14-19. DOI: 10.13474/j.cnki.11-2246.2019.0243 |
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| Authors: | WANG Yarong HUANG Shengxiang KUANG Cuilin |
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| Affiliation: | 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;2. Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China;3. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China |
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| Abstract: | GNSS and accelerometer are the main means for the dynamic monitoring of the environmental load deformation of high-rise buildings. GNSS can offer three-dimensional displacement directly without intervisibility, while it is insensitive to the weak vibration and high-frequency vibration information due to the limitation of accuracy and sampling rate. Accelerometer has the advantages of high precision and high sampling rate, while it can not monitor the low-frequency quasi-static deformation. Aiming at making full use of the complementary advantages of these two sensors, the methods of multi-rate Kalman filter and RTS smoothing are proposed to fuse GNSS and accelerometer monitoring data of high-rise buildings. The results show that this method can weaken the high-frequency noise and improve the sampling rate of GNSS displacement data compared with the single GNSS monitoring technology, it can effectively identify the low and high vibration frequencies of high-rise buildings, and it can also improve the monitoring ability of vibration micro-deformation. Compared with the single accelerometer technology, this method can accurately monitor the low-frequency deformation information of high-rise buildings. This method has the value of good engineering application. |
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| Keywords: | GNSS accelerometer structural vibration data fusion multi-rate Kalman filter RTS smoothing |
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