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The continuous assessment of the displacement of a high-rise building enables veri cation that meets the structural assumptions calculated in the project, which provide an additional useful feedback for structural engineers. Unexpected structural responses during the phases of construction or once the building is in use can help detect current and future problems as well as providing cost savings. It also contributes to an improved risk management for natural phenomena; it can be used to verify the stability of the structure providing an additional safety item for the building. The technology improvement of GNSS techniques has allowed us important advancements of Gaussian methodology applied to control the dynamics of building structures in real time, especially for calculating, controlling and interpreting of satellite survey measurements based on Gaussian Analysis and least squares adjustment. The Real-Time monitoring system works by implementing a local geodetic network with GNSS technology on the structure to be monitored. Algorithms are then applied that improve the compensated network solution and this is integrated into original software. The system allows us to achieve a high level of security and e ective risk management in real time because for each building a unique mathematical model is designed that allows GNSS position errors to be reduced. In the case of Torre Espacio the overall mathematical adjustment model reduces the maximum error by 40%. The system has been installed on a high-rise building called Torre Espacio, in Madrid, Spain and is fully operational.

Single point positioning (SPP) mode, related to pseudorange measurements, limits the level of accuracy to several meters in open sky and to several dozens of meters in urban canyons. This paper explores the effect of using a large number of SPP observations from low-cost global navigation system (GNSS) receivers, smartphones, and handheld GNSS units. Data segmentation and bootstrapping statistical methods were used to obtain the deviation, which can describe the accuracy of the large sample. The empirical test recording data showed that the error may achieve a sub-meter horizontal accuracy by the simple process of increasing the measurements of smartphones and handheld GNSS units. However, the drawback is the long period of time required. To reduce the satellite tracking time, a least squares solution network was applied over all the recorded data, assisted by the external geometric conditions. The final goal was to obtain the absolute positioning and associated deviations of one vertex from three or five GNSS receivers positioned on a network. The process was tested in three geodetic network examples. The results indicated that the enhanced SPP mode was able to improve its accuracy. Errors of several meters were reduced to values close to 50 cm in 25–37 min periods.