Application analysis of long-term GNSS monitoring for cableway towers
The cableway towers is a critical component of cableway systems.In the realm of cableway inspection systems,monitoring focuses primarily on wire ropes and elevator cars.However,gaps persist in the processing and analysis of monitoring data specific to cableway towers.This paper presents findings from the real-time monitoring platform of the Wanghailou passenger cableway of Yimengshan,which continuously observes cableway towers.Script tools are employed for static calculations of extensive GNSS observation files.We apply the K-nearest neighbor anomaly detection algorithm to evaluate the static calculation results.By integrating data from sensors such as inclinometers and meteorological instruments,and considering anomaly scores,we validate the abnormal detection dates.The validated static results are then utilized as the displacement data for the bracket,which when combine with the inclinometer's attitude data,are allowed for an analysis of the bracket's long-term changes.The findings reveal significant diurnal variations in the data from the cableway towers,with varying degrees of change at different positions.These results offer valuable insights into the deformation patterns and safety monitoring of cableway towers.
万方数据
维普
