Time series prediction of mining subsidence based on a SVM

Li, Peixian; Tan, Zhiying; Yan, Lili; Deng, Kazhong

doi:10.1016/j.mstc.2011.02.025

Cited by 41 publications

(17 citation statements)

References 3 publications

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“…Unwrapping phase of differential interferogram can be obtained by two pass differences, coherence c and mean coherence c mean are calculated by maximum likelihood estimation window method [26,27]. (2) In order to exclude the points of large-scale deformation gradient and low coherence, differential interferogram is masked based on mean coherence c mean , then, masked differential interferogram is unwrapped using minimum cost flow method to get the deformation along the line of sight DR [28]. Formula DS ¼ À DR cos h is used to calculate vertical direction deformation DS, where h represents incidence angle.…”

Section: Steps Of Integration Algorithmmentioning

confidence: 99%

“…It is reported that total nationwide mining subsidence area is over 700 thousand hectare and results in loss of more than 50 billion Yuan, of which an average of one hundred and five thousand mu is developed in North China and East China each year. In order to reduce mining subsidence disasters, domestic and foreign scholars have conducted extensive research and achieved fruitful achievements [1][2][3][4][5][6][7][8]. Due to the complexity of the mining strata, most studies in mining subsidence are currently based on observed data, and also traditional mining subsidence is mostly monitored using triangulation, leveling and GPS measurements, i.e., to establish the observation lines on the main sectional plane of the subsidence basin, observe regularly and obtain deformation information through data processing and analysis.…”

Section: Introductionmentioning

confidence: 99%

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Large-scale deformation monitoring in mining area by D-InSAR and 3D laser scanning technology integration

Chen

Deng

Fan

et al. 2013

International Journal of Mining Science and Technology

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Section: Steps Of Integration Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Large-scale deformation monitoring in mining area by D-InSAR and 3D laser scanning technology integration

Chen

Deng

Fan

et al. 2013

International Journal of Mining Science and Technology

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“…Optimization approaches are divided, first of all, in accordance with the objective function of the criteria, into mathematical programming methods, which are differentiated with respect to the decision-making procedure into linear [11], quadratic [12], integer [13], geometric [14], stochastic [15], and dynamic [16] programming; deterministic models, probabilistic models. If the methods of mathematical programming answer to the question which solution is optimal, then deterministic models demonstrate the correlation between the parameters, forming the method of displaying -whether they are correlation relations [17 -20] or graphical [10,21].…”

Section: Introductionmentioning

confidence: 99%

Research into optimization model for balancing the technological flows at mining enterprises

et al. 2020

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The purpose of this paper is to develop new approaches for optimizing the technological flows at coal mines. Based on analysis, the area of the presented approaches application has been outlined for decision-making in mining. The concept is to use graph theory methods and network models for balancing the flows incoming to the mine in the form of resources and the output flows in the form of coal, rock, gas, and water. This improves the overall efficiency of functioning the mining enterprise. A new model is proposed that describes the production activity of the underground mining complex for the delivery of three production components to the surface. These components from the viewpoint of rational resource and environmental management can be considered as factors that may have a negative impact on the level of technological scheme in terms of investing advisability, as well as on the environment. These components are coal, rock, methane gas and mine water. Given their stochastic nature, it is accepted for the mathematical description of the movement processes of coal (С), rock (R), methane gas (G) and water (W) to represent them in the form of flows within some technological system of converters, and including the diversification of mining production. The presented approach can be applied not only at the stage of designing, but also to assess the existing state of the coal mines. Special attention is focused on the development of software for decision-making.

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“…According to report the collapse area caused by coal mining exceeds 700,000 hectares, economic loss amounting to 50 billion RMB, among which the collapse area in the east of China is 105,000 hectares. In order to reduce the effects of mining subsidence scholars conducted sustentative studies and got great achievements [Feng et al, 2008;Wang et al, 2008;Li et al, 2011;Wang et al, 2011;Song et al, 2012].…”

Section: Introductionmentioning

confidence: 99%

Combining SAR interferometric phase and intensity information for monitoring of large gradient deformation in coal mining area

Chen

Deng

Fan

et al. 2015

European Journal of Remote Sensing

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Coal mining usually causes drastic large gradient deformation in the earth's surface in a short period, which leads to the formation of collapse basin or collapse pit. The drastic deformation renders the generation of dense fringes in interferogram, leading to difficulties in the phase unwrapping step. In this paper we propose using intensity tracking technique to monitor large gradient deformation in the subsidence center. To obtain the small deformation information around the basin and collapse pit, we use Small Baseline Subset (SBAS) interferometry technique to monitor the small deformation , after which we integrate the results under the two methods to obtain complete monitoring results. We take Daliu Tower mining of Shanxi Province in China as an example, using TerraSAR-X satellite data of 13 scenes spanning from 21/11/2012 to 02/04/2013 to conduct deformation monitoring experiment. The experiment result shows that the proposed method has the capability to detect and measure the large gradient deformation, meanwhile, small deformation information is preserved. Moreover, by comparing the experiment monitoring results to continuous GPS measurements, we estimate that the accuracy of deformation monitor is about 8 cm in the range direction.

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Time series prediction of mining subsidence based on a SVM

Cited by 41 publications

References 3 publications

Large-scale deformation monitoring in mining area by D-InSAR and 3D laser scanning technology integration

Large-scale deformation monitoring in mining area by D-InSAR and 3D laser scanning technology integration

Research into optimization model for balancing the technological flows at mining enterprises

Combining SAR interferometric phase and intensity information for monitoring of large gradient deformation in coal mining area

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