【摘要】 在工程项目建设与运营中，变形监测是保障工程安全运营必不可少的重要措施，然而，现有变形监测手段难以完全适用于复杂工程环境，且基准站变形等问题易导致结果失真。提出一种利用基于自适应噪声完备集合经验模态分解（CEEMDAN）算法的长期变形监测方法，利用精密单点定位（PPP）技术，从包含地学周期响应、多路径等非模型化误差的PPP监测坐标序列中获取目标的实际变形信息，提高变形监测精度。利用IGS站点观测数据与坐标基准进行单站点、多站点变形监测实验，验证方法的可靠性。实验结果显示，实验区域内多站点在E、N、U方向上平均变形监测精度分别可以达到0.81mm,0.97mm、1.81mm，达到了2mm以内的监测精度。更多还原

【Abstract】 In the construction and operation of engineering projects,deformation monitoring is an essential and important measure to ensure the safe operation of the projects.However,the existing deformation monitoring methods are difficult to be completely suitable to complex engineering environments,and have problems such as the deformation of reference stations that can easily lead to distortion of results.A long-term deformation monitoring method based on the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN) algorithm was proposed.By using Precise Point Positioning(PPP) technology,the actual deformation information of the target was obtained from the PPP monitoring coordinate sequence which contains non-modeling errors such as geoscience periodic response and multipath,so as to improve the deformation monitoring accuracy.Single-station and multistation deformation monitoring experiments were carried out by using IGS station observation data and coordinate datum to verify the reliability of the method.The experimental results show that the average deformation monitoring accuracy of multiple stations in E,N and U directions in the experimental area can reach 0.81 mm,0.97 mm and 1.81 mm respectively,reaching the monitoring accuracy within 2 mm.更多还原