Monitoring of Quarry Slope Deformations with the Use of Satellite Positioning Technology and Unmanned Aerial Vehicles

Beregovoi, D.V.; Younes, J.A.; Mustafin, M.G.

doi:10.1016/j.proeng.2017.05.116

Cited by 11 publications

(4 citation statements)

References 3 publications

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“…Using the general architecture, the software is readily integrated with a variety of control systems, which offers a platform for engineering solutions, control adjustment and higher reliable software development, including operator's training [40,41]. The information technology of the kind can substitute hardware elements of a real-life control system (process flow chart, controllers, computers) for program equivalents in the mining industry [42][43][44][45]. This, in its turn, can make it possible to create smaller-size, mobile, and simpler operating simulators.…”

Section: Dynamic Modelingmentioning

confidence: 99%

The concept of digital twins for tech operator training simulator design for mining and processing industry

Белоглазов¹,

Petrov²,

Bazhin³

2020

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According to the top-priority trends and challenges in the mineral sector, and as per the mining science strategy, it is highly critical to arrange enhanced control, prediction and safety of production objects and their functioning for the preservation of automation sustainability. Improved control of databases, regulatory bonds, management, logistics and principles of sustainable development in mining makes it possible to reduce technological deviations and accidents at large mining and processing plants. Most procedural violations and accidents in surface and underground mines occur because of the unskilled actions of process flow operators. Damage in this case can be considerable, especially as compared with the expenses connected with qualitative training and persistent development of personnel engaged with supervisory control and data acquisition for the efficient operation of SCADA-systems within the automation framework of mining and processing plants. Definition of digital systems and their interrelation with multilevel automated control can be incorrect. The review of new principles can awaken interest in the conceptual assessment of digitalization processes using such notions as: numerical models, simulator, and artificial intelligence. Often applied formulations and principles of a digital model are substituted without justification of functional connections. On the other hand, a digital system today can be assumed as robotic lines and other numerical models and smart technologies, for instance, machining stations with numerical program control. It is necessary to define the practical significance of conceptual modifications and digital transformation regarding objects of the mineral sector, using Big Data; to understand how a digital twin can influence a changeable process situation; to provide prompt prediction; to eliminate an accident; and to preserve the physical balance in the whole production system. Such intelligent and flexible productions particularly need computerbased simulators and digital twins based on technologies of Industry 4.0–extended and virtual reality on the basis of digital twins. Digital twins allow maximal simulation of real-life activity of process flow operators. The skills acquired by personnel after such simulation training enable operators to master the optimized procedure for functioning in emergency situations in mineral mining and processing. This paper exemplifies the remote training and control of process flows, which is of concern in the current international situation.

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Section: Dynamic Modelingmentioning

confidence: 99%

The concept of digital twins for tech operator training simulator design for mining and processing industry

Белоглазов¹,

Petrov²,

Bazhin³

2020

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“…Compared with the physical model tests, the field investigation, for example, surface mapping, subsurface exploration, and field monitoring, involves the real boundary condition and provides valuable information related to slope failure (e.g., Li et al, 2020). Conventional field investigation approaches are time and cost‐consuming, remote sensing techniques have attracted more and more attention in recent studies of geohazards, for example, laser scanning (e.g., Francioni et al, 2014), unmanned aerial vehicle (e.g., Beregovoi et al, 2017), and satellite remote sensing (e.g., Yang et al, 2019). For example, Sentinel‐2 provides high spatial and temporal resolution satellite data for disaster monitoring including surface movement of landslides (Phiri et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Surface movement detection and stability evaluation of a loose fine‐grained soil slope during reservoir operation: A case study in NE reservoir

Yin,

Guo,

Guo

et al. 2024

River

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Landslide in reservoirs imposes challenges to reservoir operation and dam safety management practices. The understanding of the landside mechanism during reservoir operation is crucial to landslide‐related risk migration. During the reservoir operation from 2018 to 2021, a massive landslide occurred with over 107 m3 in total volume on the bank of the NE reservoir. The surface movement characteristics before and after the occurrence of landslides in the NE reservoir in the region scale were detected and interpreted by Sentinel‐2 time series images. Experimental studies were conducted to investigate the geotechnical properties of the fine‐grained soil. The slope stability was evaluated for a typical slope profile considering the rising water level using the extended Bishop's simplified method, which was implemented in the code STAB‐UNSAT. It can be found that the landslide in the fine‐grained soil occurred simultaneously when the water level rose. The cumulative area of soil slope failure on the left bank of the NE reservoir increased continuously during the reservoir operation from 2018 to 2020, especially had a remarkable increment from August to October in 2019. The extended Bishop's simplified method provides a more rational method to evaluate the soil slope stability. The slope failure mechanism of the studied soil, that is, collapse–erosion–slide upon the rising reservoir water has been proposed.

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“…Among them, manual survey is unsuitable for high and steep slopes, and the results depend on human interpretation of the terrain, which is highly subjective [7]; GNSS measurements and total station measurements are single-point measurement methods, which have difficulties in determining the deformation of the areas without monitoring points, moreover, once the monitoring points are destroyed, the continuity of the data will be affected [8,9]. In close-range photogrammetry, each image covers only a small part of the scene and the data processing involves cumbersome processes such as orienteering and inlay, resulting in low work efficiency [10,11]. Slope deformation monitoring based on terrestrial laser scanning (TLS) can provide discrete three-dimensional data of the slope surface, thereby avoiding the locality and one-sidedness of stress-strain analysis based on data from single monitoring point [12].…”

Section: Introductionmentioning

confidence: 99%

Application of the Terrestrial Laser Scanning in Slope Deformation Monitoring: Taking a Highway Slope as an Example

Yin

Li²,

et al. 2020

Applied Sciences

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Slope deformation monitoring is the prerequisite for disaster risk assessment and engineering control. Terrestrial laser scanning (TLS) is highly applicable to this field. Coarse registration method of point cloud based on scale-invariant feature transform (SIFT) feature points and fine registration method based on the k-dimensional tree (K-D tree) improved iterative closest point (ICP) algorithm were proposed. The results show that they were superior to other algorithms (such as speeded-up robust features (SURF) feature points, Harris feature points, and Levenberg-Marquardt (LM) improved ICP algorithm) when taking the Stanford Bunny as an example, and had high applicability in coarse and fine registration. In order to integrate the advantages of point measurement and surface measurement, an improved point cloud comparison method was proposed and the optimal model parameters were determined through model tests. A case study was conducted on the left side of the K146 + 150 point at S236 Boshan section, Shandong Province, and research results show that from 14 August 2018 and 9 November 2019, the overall deformation of the slope was small with a maximum value of 0.183 m, and the slope will continue to maintain a stable state without special inducing factors such as earthquake, heavy rainfall and artificial excavation.

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Monitoring of Quarry Slope Deformations with the Use of Satellite Positioning Technology and Unmanned Aerial Vehicles

Cited by 11 publications

References 3 publications

The concept of digital twins for tech operator training simulator design for mining and processing industry

The concept of digital twins for tech operator training simulator design for mining and processing industry

Surface movement detection and stability evaluation of a loose fine‐grained soil slope during reservoir operation: A case study in NE reservoir

Application of the Terrestrial Laser Scanning in Slope Deformation Monitoring: Taking a Highway Slope as an Example

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