Validation of performance of real-time kinematic PPP. A possible tool for deformation monitoring

Martín, Angel; Julián, Ana Belén Anquela; Dimas-Pagés, A.; Cos-Gayón, Fernando

doi:10.1016/j.measurement.2015.03.026

Cited by 42 publications

(21 citation statements)

References 29 publications

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“…PPP can replace double difference for structure monitoring when double difference becomes unavailable on account of natural disasters, and so on . Numerous studies on the applications of post‐processing or real‐time PPP techniques for SHM have been performed with similar results by some other researchers …”

Section: Gnss Kinematic Positioning Modes For Structural Monitoringmentioning

confidence: 83%

See 1 more Smart Citation

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Meng

Yan

et al. 2019

Struct Control Health Monit

108

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Summary Global Navigation Satellite System (GNSS) positioning technology has had widespread applications in the structural health monitoring as its overall performance has improved significantly in the last two decades. It is capable of providing timely and accurate structural vibration information such as dynamic displacements and modal frequencies at higher performance than traditional accelerometers. The studies summarized in this paper focus on the improvement of the multi‐sensors and multi‐constellation data acquisition techniques, the improvement of multiple approaches for erroneous noise mitigation, and innovative modal parameter identification methods. We also detailed the applications of GNSS on the deformation monitoring for towers, chimneys, tall buildings, and bridges. With continuous enhancements in the algorithm and hardware of GNSS, it is expected that the application of GNSS technology can be expanded to other fields such as bridge cable‐force measurements and bridge weight‐in‐motion as well as structural deformation monitoring.

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Section: Gnss Kinematic Positioning Modes For Structural Monitoringmentioning

confidence: 83%

“…35 Numerous studies on the applications of post-processing or real-time PPP techniques for SHM have been performed with similar results by some other researchers. [36][37][38][39]…”

Section: Solution Modes Acronym Detailmentioning

confidence: 99%

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Meng

Yan

et al. 2019

Struct Control Health Monit

108

View full text Add to dashboard Cite

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“…This has been followed by the application of a variety of predictive models, such as the grey model (GM), polynomial regression model, machine forest model, logical regression model, strength reduction method, and back propagation (BP) neural network [13][14][15][16]. In recent years, with the expansion in the application of geographic information systems (GIS) and the maturity of satellite differential positioning technology, Global Navigation Satellite System (GNSS) real-time monitoring systems have made a breakthrough in the field of landslide early warning and prediction [17,18]. The intensive study of landslides has achieved many useful outcomes, but there are still some problems with the application of GNSS monitoring systems for use on high-steep slopes in coal mining subsidence areas, and there has been insufficient research on the specific influences of high-steep slopes in mines, the surrounding topography, rainfall, and other associated parameters.…”

Section: Introductionmentioning

confidence: 99%

Determination of the Stability of High-Steep Slopes by Global Navigation Satellite System (GNSS) Real-Time Monitoring in Long Wall Mining

Lian

Hong-yan

et al. 2020

Applied Sciences

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Surface movement and deformation induced by underground coal mining causes slopes to collapse. Global Navigation Satellite System (GNSS) real-time monitoring can provide early warnings and prevent disasters. A stability analysis of high-steep slopes was conducted in a long wall mine in China, and a GNSS real-time monitoring system was established. The moving velocity and displacement at the monitoring points were an integrated response to the influencing factors of mining, topography, and rainfall. Underground mining provided a continuous external driving force for slope movement, the steep terrain provided sufficient slip conditions in the slope direction, and rainfall had an acceleration effect on slope movement. The non-uniform deformation, displacement field, and time series images of the slope body revealed that ground failure was concentrated in the area of non-uniform deformation. The non-uniform deformation was concentrated ahead of the working face, the speed of deformation behind the working face was reduced, the instability of the slope body was increased, and the movement of the top of the slope was larger than at the foot. The high-steep slope stability in the mine was influenced by the starting deformation (low stability), iso-accelerated deformation (increased stability), deformation deceleration (reduced stability), and deformation remaining unchanged (improved stability).

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“…GNSS is one of several means of displacement monitoring and has been widely used for long-term stability analysis and the real-time dynamic monitoring of geo-hazards [1][2][3]. The most frequently used technique for deformation monitoring is RTK positioning based on double difference observations, where the relative position solutions are estimated with respect to a stable reference station [4]. The RTK technique can provide relative displacements with respect to a local reference frame defined by the reference station, which is crucial for the stability evaluations of landforms that become unstable as a result of geological hazards.…”

Section: Introductionmentioning

confidence: 99%

Asynchronous RTK Method for Detecting the Stability of the Reference Station in GNSS Deformation Monitoring

Huang

Zhang

et al. 2020

Sensors

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The real-time kinematic (RTK) positioning technique of global navigation satellite systems (GNSS) has been widely used for deformation monitoring in the past several decades. The RTK technique can provide relative displacements in a local reference frame defined by a highly stable reference station. However, the traditional RTK solution does not account for reference stations that experience displacement. This presents a challenge for establishing a near real-time GNSS monitoring system, as since the displacement of a reference station can be easily misinterpreted as a sign of rapid movement at the monitoring station. In this study, based on the reference observations in different time domains, asynchronous and synchronous RTK are proposed and applied together to address this issue, providing more reliable displacement information. Using the asynchronously generated time difference of a reference frame, the proposed approach can detect whether a measured displacement has occurred in the reference or the monitoring station in the current epoch. This allows for the separation of reference station movements from monitoring station movements. The results based on both simulated and landslide monitoring data demonstrate that the proposed method can provide reliable displacement determinations, which are critical in deformation monitoring applications, such as the early warning of landslides.

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Validation of performance of real-time kinematic PPP. A possible tool for deformation monitoring

Abstract: ElsevierMartín Furones, ÁE.; Anquela Julián, AB.; Dimas Pagés, A.; Cos-Gayón López, FJ. (2015

Cited by 42 publications

References 29 publications

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Determination of the Stability of High-Steep Slopes by Global Navigation Satellite System (GNSS) Real-Time Monitoring in Long Wall Mining

Asynchronous RTK Method for Detecting the Stability of the Reference Station in GNSS Deformation Monitoring

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