Multi-sensor observation fusion scheme based on 3D variational assimilation for landslide monitoring

Liu, Chun; Shao, Xi; Li, Weiyue

doi:10.1080/19475705.2018.1513871

Cited by 8 publications

(1 citation statement)

References 51 publications

(51 reference statements)

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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].…”

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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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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Multi-sensor data fusion technology for the early landslide warning system

Chen

Cai

Zeng

et al. 2022

J Ambient Intell Human Comput

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A preliminary investigation on enabling digital twin technology for operations and maintenance of urban underground infrastructure

Cheng,

Wang,

Liang

et al. 2024

AI Civ. Eng.

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Underground infrastructure plays a kind of crucial role in modern production and living, especially in big cities where the ground space has been fully utilized. In the context of recent advancements in digital technology, the demand for the application of digital twin technology in underground infrastructure has become increasingly urgent as well. However, the interaction and co-integration between underground engineering entities and virtual models remain relatively limited, primarily due to the unique nature of underground engineering data and the constraints imposed by the development of information technology. This research focuses on underground engineering infrastructure and provides an overview of the application of novel information technologies. Furthermore, a comprehensive framework for digital twin implementation, which encompasses five dimensions and combines emerging technologies, has been proposed. It thereby expands the horizons of the intersection between underground engineering and digital twins. Additionally, a practical project in Wenzhou serves as a case study, where a comprehensive database covering the project’s entire life cycle has been established. The physical model is visualized, endowed with functional implications and data analysis capabilities, and integrated with the visualization platform to enable dynamic operation and maintenance management of the project.

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Multi-sensor observation fusion scheme based on 3D variational assimilation for landslide monitoring

Cited by 8 publications

References 51 publications

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

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

Multi-sensor data fusion technology for the early landslide warning system

A preliminary investigation on enabling digital twin technology for operations and maintenance of urban underground infrastructure

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