Study on subsidence monitoring technology using terrestrial 3D laser scanning without a target in a mining area: an example of Wangjiata coal mine, China

Yin, Gu; Zhou, Dawei; Zhang, Demin; Wu, Kan; Zhou, Biao

doi:10.1007/s10064-020-01767-1

Cited by 17 publications

(7 citation statements)

References 15 publications

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“…The information on surface changes of a slow-moving landslide in the Austrian Flysch zone was also obtained based on M2M [ 20 ]. This method was also applied to the subsidence basin of the Wangjiata mining area, which was obtained by DEM subtraction in two phases, with an accuracy up to 67 mm [ 21 ]. The surface DEM is established by using the point clouds after coordinate transformation, and the dynamic subsidence value and subsidence basin during the observation period are obtained by DEM subtraction.…”

Section: Research and Applications Of Tls In Ground Surface Deformati...mentioning

confidence: 99%

“…In deformation monitoring projects, multi-station splicing of point clouds in the same period is usually done through white balls or checkerboard markers [ 15 , 21 ], which are placed in the overlapping area scanned twice by the scanner, and then point cloud splicing is carried out by identifying markers through the built-in commercial software. In addition, the algorithm can be used to register point clouds.…”

Section: Key Issues In the Application Of Tls Technologymentioning

confidence: 99%

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Review on the Research and Applications of TLS in Ground Surface and Constructions Deformation Monitoring

Teng

Shi

Wang

et al. 2022

Sensors

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With the gradual maturity of the terrestrial laser scanners (TLS) technology, it is widely used in the field of deformation monitoring due to its fast, automated, and non-contact data acquisition capabilities. The TLS technology has changed the traditional deformation monitoring mode which relies on single-point monitoring. This paper analyzes the application of TLS in deformation monitoring, especially in the field of ground surface, dam, tunnel, and tall constructions. We divide the methods for obtaining ground surface deformation into two categories: the method based on point cloud distance and the method based on displacement field. The advantages and disadvantages of the four methods (M2M, C2C, C2M, M3C2) based on point cloud distance are analyzed and summarized. The deformation monitoring methods and precisions based on TLS for dams, tunnels, and tall constructions are summarized, as well as the various focuses of different monitoring objects. Additionally, their limitations and development directions in the corresponding fields are analyzed. The error sources of TLS point cloud data and error correction models are discussed. Finally, the limitations and future research directions of TLS in the field of deformation monitoring are presented in detail.

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Section: Research and Applications Of Tls In Ground Surface Deformati...mentioning

confidence: 99%

Section: Key Issues In the Application Of Tls Technologymentioning

confidence: 99%

Review on the Research and Applications of TLS in Ground Surface and Constructions Deformation Monitoring

Teng

Shi

Wang

et al. 2022

Sensors

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“…AHP is a flexible quantitative method, which has become one of the commonly used methods in risk assessment [60][61][62][63][64]. Based on the relevant literature and engineering requirements to determine the influencing factors affecting the surface subsidence monitoring program [14,[65][66][67], a total of three primary indicators and 16 secondary indicators are included, as shown in Figure 4 (natural factors and target constraints are determined in advance):…”

Section: Preference Model 231 Infactors Determination and Analysismentioning

confidence: 99%

Construction of “Space-Sky-Ground” Integrated Collaborative Monitoring Framework for Surface Deformation in Mining Area

Yan

Dai

et al. 2022

Remote Sensing

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Ground deformation measurements in mining areas play a key role in revealing the surface subsidence law, retrieving the subsidence parameters, warning of geological disasters and restoring the surface ecology. With the development of science and technology, there have emerged a great number of monitoring techniques and buildings of diverse protection levels. The diversity of monitoring techniques and the multiplicity of monitoring objects have brought challenges for surface deformation monitoring in the coal industry. Based on the existing deformation monitoring techniques, this paper established a framework of "space-sky-ground" collaborative monitoring system in mining area. We also constructed an AHP-TOPSIS (Analytic Hierarchy Process method- Technique for Order Preference by Similarity to an Ideal Solution) preference model of "space-sky-ground" collaborative monitoring of surface deformation in mining area, and carried out engineering application. Our study shows that the framework of the "space-sky-ground" collaborative monitoring system for surface subsidence in mining areas established in this paper, combined with the AHP-TOPSIS monitoring preference model, which can fully combine the advantages of each monitoring technique, overcome the limitations of a single monitoring technique, comprehensively obtain the surface subsidence data and work out the surface deformation subsidence pattern. This information provides a data and technical support for surface environment management.

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“…However, there are landslides, ground fissures, and other hazards in mining areas, which cannot allow high-density control points. Terrestrial laser scanning (TLS) has been used to detect the deformation of landslide, dam, and mining areas, and accurate detection results have been achieved [21][22][23][24]. However, TLS adopts station-type scanning, with which there are problems, such as ground obstructions, narrow fields of view, heavy workloads, and special terrain not being scannable.…”

Section: Introductionmentioning

confidence: 99%

An Accurate Digital Subsidence Model for Deformation Detection of Coal Mining Areas Using a UAV-Based LiDAR

et al. 2022

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Coal mine surface subsidence detection determines the damage degree of coal mining, which is of great importance for the mitigation of hazards and property loss. Therefore, it is very important to detect deformation during coal mining. Currently, there are many methods used to detect deformations in coal mining areas. However, with most of them, the accuracy is difficult to guarantee in mountainous areas, especially for shallow seam mining, which has the characteristics of active, rapid, and high-intensity surface subsidence. In response to these problems, we made a digital subsidence model (DSuM) for deformation detection in coal mining areas based on airborne light detection and ranging (LiDAR). First, the entire point cloud of the study area was obtained by coarse to fine registration. Second, noise points were removed by multi-scale morphological filtering, and the progressive triangulation filtering classification (PTFC) algorithm was used to obtain the ground point cloud. Third, the DEM was generated from the clean ground point cloud, and an accurate DSuM was obtained through multiple periods of DEM difference calculations. Then, data mining was conducted based on the DSuM to obtain parameters such as the maximum surface subsidence value, a subsidence contour map, the subsidence area, and the subsidence boundary angle. Finally, the accuracy of the DSuM was analyzed through a comparison with ground checkpoints (GCPs). The results show that the proposed method can achieve centimeter-level accuracy, which makes the data a good reference for mining safety considerations and subsequent restoration of the ecological environment.

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Study on subsidence monitoring technology using terrestrial 3D laser scanning without a target in a mining area: an example of Wangjiata coal mine, China

Cited by 17 publications

References 15 publications

Review on the Research and Applications of TLS in Ground Surface and Constructions Deformation Monitoring

Review on the Research and Applications of TLS in Ground Surface and Constructions Deformation Monitoring

Construction of “Space-Sky-Ground” Integrated Collaborative Monitoring Framework for Surface Deformation in Mining Area

An Accurate Digital Subsidence Model for Deformation Detection of Coal Mining Areas Using a UAV-Based LiDAR

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