Surface Subsidence Prognosis above an Underground Longwall Excavation and Based on 3D Point Cloud Analysis

Pal, Andrej; Rošer, Janez; Vulić, Milivoj

doi:10.3390/min10010082

Cited by 15 publications

(5 citation statements)

References 26 publications

(46 reference statements)

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“…Strip Mining. Due to the small amount of surface movement and no water on the surface in deep well mining, Lidar and RTK technology are combined to collect field data of surface subsidence in mining areas, manual intervention processing is carried out on the acquired point cloud data, and the point cloud data and the generated DEM are used to analyze the surface subsidence deformation of the coal mine; besides, D-InSAR technology and deformation monitoring method of Network CORS based on Beidou can be carried out, and the "third class" elevation measurement accuracy can be achieved by improving the outdoor survey system and implementing a more precise data processing model [28][29][30][31][32].…”

Section: Monitoring Methods Of Surface Movement In Deep Wellmentioning

confidence: 99%

Surface and New Building Deformation Analysis of Deep Well Strip Mining

Luan

Dong

et al. 2020

Advances in Materials Science and Engineering

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Aiming at the problem of surface movement and long-term stability of a work plane of deep well strip mining in Shandong Province, an observation station is set up on the surface of strip mining, and the surface deformation value during strip mining is measured with advanced measuring instruments; on the stable surface of the old mining area, the surface deformation monitoring work is also carried out for new buildings. In addition, the FLAC3D simulation method is used to determine the subsidence factor of different mining depth, mining width, mining length, and mining thickness, and the mathematical model between the subsidence factor and mining depth, mining width, mining length, and mining thickness is established. After the surface of the old goaf is basically stable after strip mining, the high-rise buildings are built. By changing the size of the new buildings and the amount of the load imposed on the surface, the surface deformation is simulated and calculated, and the relationship between the different load positions, load sizes, loading building sizes, and the surface activated deformation is obtained. The measured value of the surface deformation confirms that the load of the new buildings can induce the activation of the old goaf and make the surface generate secondary deformation, but the activated deformation makes the new building within the range of 1, so the new building is safe.

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Section: Monitoring Methods Of Surface Movement In Deep Wellmentioning

confidence: 99%

Surface and New Building Deformation Analysis of Deep Well Strip Mining

Luan

Dong

et al. 2020

Advances in Materials Science and Engineering

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“…To estimate active subsidence over the coal mine Velenje, [20] proposed a method where photogrammetric measurements obtained by an unmanned aerial vehicle (UAV) were introduced through a 3D point cloud. The observation area was divided into rectangular sectors, where also centroids of their planes were calculated.…”

Section: Summary Of Previous Researchmentioning

confidence: 99%

Investigation of Unmanned Aerial Vehicles-Based Photogrammetry for Large Mine Subsidence Monitoring

2020

Self Cite

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With the exploitation of underground sources, nature receives a huge negative impact on the local environment introducing surface subsidence. A mining region needs to be observed in sequences before, during, and after coal extraction from the coal mine. Different measuring methods exist to monitor subsidence, and all of them apply various instrumentation. A choice of methodology depends on access to a field of observation and requested accuracy. Obviously, the most accurate results provide geometric leveling, but, many times, the terrain does not allow surveyors to walk over the dangerous outfields. Looking for the most adequate and feasible method, this research did a comparison between observation of the same points, applying statistical analysis of differences between the reference points heights, and tested methods. Monitoring procedure comprised utilization of total stations (TS), global navigation satellite system (GNSS), and unmanned aerial vehicles (UAV). In this paper, the Velenje coal mine was taken as a case study, and observation data were collected during 2017.

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“…There are also studies that use dense point clouds derived from UAVs and algorithms that allow point cloud to point cloud comparison. Pal et al, used UAV photogrammetry to obtain multi-temporal point cloud data, and quantified the subsidence of the two periods through the nearest neighbor point cloud to cloud (C2C) comparison method [14].…”

Section: Introductionmentioning

confidence: 99%

Novel Method for Monitoring Mining Subsidence Featuring Co-Registration of UAV LiDAR Data and Photogrammetry

Liu

et al. 2022

Applied Sciences

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Addressing the problem that traditional methods cannot reliably monitor surface subsidence in coal mining, a novel method has been developed for monitoring subsidence in mining areas using time series unmanned aerial vehicle (UAV) photogrammetry in combination with LiDAR. A dynamic subsidence basin based on the differential digital elevation model (DEM) was constructed and accuracy of the proposed method was verified, with the uncertainty of the DEM of difference (DoD) being quantified via co-registration of a dense matching point cloud of the time series UAV data. The root mean square error calculated for the monitoring points on the subsidence DEM was typically between 0.2 m and 0.3 m with a minimum of 0.17 m. The relative error between the maximum subsidence value of the extracted profile line on the main section after fitting and the measured maximum subsidence value was not more than 20%, and the minimum value was 0.7%. The accuracy of the UAV based method was at the decimeter level, and high accuracy in monitoring the maximum subsidence value was attained, confirming that an innovative strategy for monitoring mining subsidence was realized.

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Surface Subsidence Prognosis above an Underground Longwall Excavation and Based on 3D Point Cloud Analysis

Cited by 15 publications

References 26 publications

Surface and New Building Deformation Analysis of Deep Well Strip Mining

Surface and New Building Deformation Analysis of Deep Well Strip Mining

Investigation of Unmanned Aerial Vehicles-Based Photogrammetry for Large Mine Subsidence Monitoring

Novel Method for Monitoring Mining Subsidence Featuring Co-Registration of UAV LiDAR Data and Photogrammetry

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