A new method for super high-rise building deformation monitoring considering the effect of tropospheric delay

Abstract

The invention discloses a new method applicable to GNSS dynamic deformation monitoring of super high-rise buildings. The realization process is: calculating the GNSS double-difference observation value and the corresponding relative troposphere projection coefficient; the construction is based on the three-dimensional coordinates X / Y / Z of the monitoring station and the The relative tropospheric delay (RZTD) four-dimensional search space, and the corresponding particle swarm search algorithm (PSO) initial particle generation; based on the improved ambiguity function method (MAFM) to calculate the fitness of all particles; update the optimal solution of each particle history and the historical optimal solution of the population; update the speed and position information of all particles according to the historical optimal solution of each particle and the optimal population historical solution; according to the size of the fitness, adopt the grouping strategy for the population, and uniformly mutate the optimal population; if If the iterative convergence condition of the PSO algorithm is satisfied, the three-dimensional coordinates of the monitoring point and the RZTD parameters corresponding to the optimal particle are output, otherwise, the PSO iteration is performed again. This method has strong operability and flexibility, high calculation efficiency, and can better weaken the influence of tropospheric delay error caused by large height difference.

Description

technical field [0001] The invention belongs to the field of GNSS high-precision positioning and application, and relates to GNSS positioning algorithm and super high-rise building deformation monitoring technology. High-precision deformation monitoring of urban super high-rise buildings affected by tropospheric errors. Background technique [0002] Super high-rise buildings are an important symbol of modern urban construction, and deformation monitoring is required during construction and after completion. Global satellite navigation system (GNSS) can be used as an ideal super high-rise building deformation monitoring system due to its advantages of all-weather, simple operation, and high precision. means of monitoring. GNSS super high-rise monitoring generally adopts the relative positioning operation mode. Although the distance between the base station and the monitoring station is relatively close, due to the large height difference, the meteorological difference betwee...

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Problems solved by technology

[0004] Li Bofeng used a regularization method in "Geometry-specified troposphere decorrelation for subcentimeter real-time kinematic solutions over long baselines [J], Journal of Geophysical Research, 2010, 115, B11404" to better solve the problem of RZTD in LS parameter estimation. Strongly related to elevation, this method can achieve high-precision long-baseline RZTD estimation accuracy through a complex regularization matrix construction method. Although the effect is good, it is more complicated, and it cannot perform multi-epoch cumulative observations to further improve RZTD estimation precision

[0005] Yong W A normalized the RZTD and elevation parameters in "Estimation of troposphere decoration using the combinedzenith-dependent parameter.Proceedings of Ion GNSS, 2008", and achieved the purpose of separating the two by calculating the correlation coefficient between them, but This method does not take into account the correlation between the horizontal component parameters and RZTD, although the correlation is not very obvious relative to the elevation direction

[0006] Kim Don used a spatiotemporal correlation-based forgetting adjustment factor to adjust The main purpose of the RZTD weight of the current epoch and the previous epoch is that the traditional random walk model in the EKF parameter estimation is difficult to adapt to the RZTD sudden change caused by the sudden weather change, but the forgetting factor of this method is also given a priori, which is difficult to achieve True Adaptive RZTD Parameter Estimation

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