Monitoring Method and Performance Analysis of Climbing Scaffolds in Super High-Rise Buildings Based on BeiDou/GNSS Technology DOI Creative Commons

Pengfei Wang,

Gen Liu, Jian Wang

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(6), P. 964 - 964

Published: March 19, 2025

Monitoring the stability and safety of climbing scaffolds in super-high-rise construction is critical to ensuring quality worker safety. This study proposes a Global Navigation Satellite System (GNSS)-based real-time monitoring method track scaffold displacement assess structural performance. A multi-level data optimization framework integrating gross error elimination, interpolation, robust Kalman filtering, Cumulative Sum Control Chart (CUSUM)-based early warning system developed enhance accuracy. The key objectives this research are improve tracking, suppress measurement noise, establish an automated anomaly detection mechanism for under complex conditions. proposed was validated project Tianjin, China. Experimental results demonstrated that effectively reduced high-frequency noise errors, achieving root mean square (RMSE) reductions 51.4% E direction, 45.5% N 49.6% U direction. successfully tracked vertical displacements 4.4 m per ascent horizontal deviations 4 cm (E direction) 2 (N direction). Additionally, identified anomalies based on predefined thresholds, providing function management. Compared conventional methods, BeiDou/GNSS-based provides higher precision, adaptability, enhanced automation, offering scalable solution intelligent findings contribute health (SHM) applications can serve as reference future high-rise assessments.

Language: Английский

Monitoring Method and Performance Analysis of Climbing Scaffolds in Super High-Rise Buildings Based on BeiDou/GNSS Technology DOI Creative Commons

Pengfei Wang,

Gen Liu, Jian Wang

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(6), P. 964 - 964

Published: March 19, 2025

Monitoring the stability and safety of climbing scaffolds in super-high-rise construction is critical to ensuring quality worker safety. This study proposes a Global Navigation Satellite System (GNSS)-based real-time monitoring method track scaffold displacement assess structural performance. A multi-level data optimization framework integrating gross error elimination, interpolation, robust Kalman filtering, Cumulative Sum Control Chart (CUSUM)-based early warning system developed enhance accuracy. The key objectives this research are improve tracking, suppress measurement noise, establish an automated anomaly detection mechanism for under complex conditions. proposed was validated project Tianjin, China. Experimental results demonstrated that effectively reduced high-frequency noise errors, achieving root mean square (RMSE) reductions 51.4% E direction, 45.5% N 49.6% U direction. successfully tracked vertical displacements 4.4 m per ascent horizontal deviations 4 cm (E direction) 2 (N direction). Additionally, identified anomalies based on predefined thresholds, providing function management. Compared conventional methods, BeiDou/GNSS-based provides higher precision, adaptability, enhanced automation, offering scalable solution intelligent findings contribute health (SHM) applications can serve as reference future high-rise assessments.

Language: Английский

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