Cooperating the BDS, GPS, GLONASS and strong-motion observations for real-time deformation monitoring

Tu, Rui; Liu, Jinhai; Lu, Cuixian; Zhang, Rui; Zhang, Pengfei; Lu, Xiaochun

doi:10.1093/gji/ggx099

Cited by 27 publications

(8 citation statements)

References 31 publications

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“…In the dynamic monitoring of large bridges, multi-system GNSS can enhance the availability and reliability of the monitoring system when satellite signals are blocked by certain facilities, such as bridge towers and passing vehicles, thereby improving the positioning accuracy [145]. Tu et al [146] proposed a real-time dynamic monitoring method combined with GPS, GLONASS, BDS and strong motion recorders, and verified its reliability in high-rise buildings,…”

Section: Review On Multi-frequency and Multi-system Gnss Monitioringmentioning

confidence: 99%

Review of Bridge Structural Health Monitoring Based on GNSS: From Displacement Monitoring to Dynamic Characteristic Identification

Wang

Zhao

et al. 2021

IEEE Access

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Deformation monitoring and dynamic characteristic analysis of bridge structures are the vital and basic requirements for the safe operation of bridges. In recent years, Global Navigation Satellite System (GNSS) has become increasingly widely used in bridge structural health monitoring with the development of the GNSS technology, especially the continuous improvement and development of China's Beidou navigation satellite system (BDS). This article summarises the application process of GNSS dynamic deformation monitoring and the development of GNSS deformation measurement technology of bridge structural health monitoring, the dynamic characteristic identification method and its application in bridge GNSS monitoring. The positioning solution methods for GNSS monitoring, the high sampling rate GNSS receiver for monitoring, multi-frequency and multi-system GNSS monitoring and the weakening of multipath effect of GNSS monitoring are summarised in detail. Then, the conclusions and prospects are posed for future research and related application.

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Section: Review On Multi-frequency and Multi-system Gnss Monitioringmentioning

confidence: 99%

Review of Bridge Structural Health Monitoring Based on GNSS: From Displacement Monitoring to Dynamic Characteristic Identification

Wang

Zhao

et al. 2021

IEEE Access

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“…Until now, a total of 44 BDS satellites are in normal operation, containing 15 BDS-2 satellites (5 GEO satellites, 7 inclined geosynchronous orbit [IGSO] satellites and 3 mediumearth orbit [MEO] satellites) and 29 BDS-3 satellites (2 GEO satellites, 3 IGSO satellites and 24 MEO satellites). There has been abundant research based on BDS-2/3, such as deformation monitoring [13,14], atmospheric sounding [15,16] and precise point positioning-real-time kinematic (PPP-RTK) positioning [17],etc. However, the most aforementioned studies about BDS are based on ground-based observation data and LEO spaceborne GPS observation data, while less onboard BDS observation has been applied for real-time LEO POD.…”

Section: Introductionmentioning

confidence: 99%

Real‐time precise orbit determination for FY‐3C and FY‐3D based on BDS and GPS onboard observation

Wang

et al. 2023

IET Radar Sonar & Navi

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The code multipath error associated with elevation in BDS‐2 is one of the main factors whose impact on the precision of real‐time reduced‐dynamic precise orbit determination (POD) using spaceborne multi‐global navigation satellite systems (GNSS) observation data for FengYun‐3C (FY‐3C) and FengYun‐3D (FY‐3D) satellites. The aim is to construct a code multipath piece‐wise linear error model and analyse the contribution of BDS‐2 to the performance of low earth orbit POD. Conclusions are drawn out from the experimental results: (1) the real‐time POD average precision of FY‐3C and FY‐3D is improved by about 11% and 12% after the correction of BDS‐2 code multipath error; (2) Due to the small number of available BDS‐2 satellites and the limited accuracy of geostationary earth orbit (GEO) satellite real‐time orbit products, the precision of the real‐time overlapping comparison for FY‐3C/FY‐3D by using the BDS‐2 onboard observation data can only reach the decimetre level. However, with the BDS‐2 signal capture capability of the FY‐3D onboard GNSS Occultation Sounder upgraded, the average precision of the BDS‐2‐based POD for FY‐3D is better than that of FY‐3C in each direction and with 10% improvement in the average 3 dimensional‐root mean square (3D‐RMS); (3) Cases of onboard global positioning system (GPS), GPS + BDS‐2 (with GEO), and GPS + BDS‐2 (without GEO) for real‐time POD can meet 5–8 cm precision requirement. The average 3D‐RMS of the real‐time POD for FY‐3C/FY‐3D, which utilises onboard GPS + BDS‐2 data is inferior only to GPS data, owing to the influence of the orbit accuracy of GEO satellites. However, after excluding the influence of GEO satellites, the average result (3D‐RMS) of the real‐time POD for FY‐3C (6.11 cm) and FY‐3D (5.95 cm) is better than those of other cases.

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“…In the studies, the performance of the Real Time (RT)-PPP method and the correction products used were tested by monitoring the displacements that occur in natural events such as earthquakes and tsunamis. (Hadas and Bosy, 2015;Krzan and Przestrzelski, 2016;Elsobeiey and Al Harbi, 2016;El-Mowafy et al, 2016;Alcay and Turgut, 2017;Alcay, 2019;Takahaski et al, 2014, Tu et al, 2017, El-Mowafy and Deo, 2017Li et al, 2019;Li et al, 2014;Zheng et al, 2019;Zhang et al, 2021). This method, which is also used in deformation monitoring of engineering structures, has been emphasized as an alternative method to the RP method (Martin et al, 2015;Tang et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

High-rate real-time PPP for dynamic motion detection in vertical direction

Karadeniz

Bezcioğlu

Yiğit

et al. 2022

Proceedings of the 5th Joint International Symposium on Deformation Monitoring - JISDM 2022

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Nowadays, with the developments in GNSS (Global Navigation Satellite System) technology, the data storage and data processing capacity of GPS (Global Positioning System) receivers has been gradually increased. This situation is widely used in the detection and monitoring of horizontal and vertical vibrations that occur in the structure when high temporal resolution geodetic GPS receivers are under the influence of dynamic loads such as earth crust motions, wind load, traffic load, which affect man-made engineering structures. In the study, RT DF-PPP (Real Time Dual Frequency-Precise Point Positioning) method was applied together with a GPS sensor with a sampling interval of 20 Hz, using a steel bar mounted on a steel tree model designed as a structure model, and a steel bar on which different sensors can be integrated and can provide simulation of vertical motions in detecting vertical motions occurring in structures. To evaluate the performance of the method used and to test the performance of capturing vertical displacements, the DF-RP (Dual Frequency-Relative Positioning) method was taken as reference and the results were compared with the PP-PPP (Post Process-PPP) method using the IGS-Final (International GNSS Service-Final) product. When the results are compared with the RP and PP-PPP solutions in the frequency domain of vertical motions as a result of harmonic oscillations of the high-rate RT-PPP method, it has been seen that the amplitudes and frequencies are compatible with each other. Therefore, dynamic motions that occur as a result of natural events such as earthquakes, tsunamis, landslides and volcanic eruptions can be instantly and reliably monitored and detected by the high-rate RT-PPP method. When the results were evaluated in the time domain, an improvement was observed in the RMSE (Root Mean Square Error) and maximum values of RT-PPP and PP-PPP methods according to RP after filtering. When the statistical results are examined, vertical harmonic motions of the solutions made by using both RT-PPP and PP-PPP methods can be detected with accuracy below centimeters. These results clearly show that it can detect vertical dynamic motions in engineering structures such as bridges, skyscrapers and viaducts with RT-PPP method to evaluate. Thus, by detecting the effects of dynamic motions occurring in the structure on the health of the structure, a safe environment will be provided by making a rapid hazard assessment for life safety.

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Cooperating the BDS, GPS, GLONASS and strong-motion observations for real-time deformation monitoring

Cited by 27 publications

References 31 publications

Review of Bridge Structural Health Monitoring Based on GNSS: From Displacement Monitoring to Dynamic Characteristic Identification

Review of Bridge Structural Health Monitoring Based on GNSS: From Displacement Monitoring to Dynamic Characteristic Identification

Real‐time precise orbit determination for FY‐3C and FY‐3D based on BDS and GPS onboard observation

High-rate real-time PPP for dynamic motion detection in vertical direction

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