New Quality Control Algorithm Based on GNSS Sensing Data for a Bridge Health Monitoring System

被引:6
作者
Lee, Jae Kang [1 ]
Lee, Jae One [2 ]
Kim, Jung Ok [3 ]
机构
[1] LX Spatial Informat Res Inst, 163 Anjeon Ro, Wanju Gun 55365, Jeollabuk Do, South Korea
[2] Dong A Univ, Dept Civil Engn, Busan 49315, South Korea
[3] Seoul Natl Univ, Inst Construct & Environm Engn, Seoul 08826, South Korea
关键词
global navigation satellite system; bridge health monitoring system; detection identification adaption; quality control; deflection monitoring analysis;
D O I
10.3390/s16060774
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This research introduces an improvement plan for the reliability of Global Navigation Satellite System (GNSS) positioning solutions. It should be considered the most suitable methodology in terms of the adjustment and positioning of GNSS in order to maximize the utilization of GNSS applications. Though various studies have been conducted with regards to Bridge Health Monitoring System (BHMS) based on GNSS, the outliers which depend on the signal reception environment could not be considered until now. Since these outliers may be connected to GNSS data collected from major bridge members, which can reduce the reliability of a whole monitoring system through the delivery of false information, they should be detected and eliminated in the previous adjustment stage. In this investigation, the Detection, Identification, Adaptation (DIA) technique was applied and implemented through an algorithm. Moreover, it can be directly applied to GNSS data collected from long span cable stayed bridges and most of outliers were efficiently detected and eliminated simultaneously. By these effects, the reliability of GNSS should be enormously improved. Improvement on GNSS positioning accuracy is directly linked to the safety of bridges itself, and at the same time, the reliability of monitoring systems in terms of the system operation can also be increased.
引用
收藏
页数:20
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