coal mining predict

Coal Mine Disaster Prediction IJERT
The prediction model uses Ensemble Learning which is a combination of various algorithms. The algorithm gets the data from an IoT setup which by considering various parameters like. temperature, humidity, fire and gas concentrations. The model consists of 3 phases: Figure 1: Block diagram of the proposed system.
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Prediction and Evaluation of Coal Mine Coal Bump Based
2021-10-20 Coal bump prediction is one of the key problems in deep coal mining engineering. To predict coal bump disaster accurately and reliably, we propose a depth neural network (DNN) prediction model based on the dropout method and improved Adam algorithm. The coal bump accident examples were counted in order to analyze the influencing factors, characteristics,
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Predicting mine water inflow and groundwater levels for
2019-2-21 Coal and water resources have played important roles in China’s social and economic development. Thus, accurate and reliable predictions of coal mine water inflow and aquifer water level variations are required to ensure mining safety and assess the impact of coal mining on groundwater aquifers. A three-dimensional numerical model was established for unsteady
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Predicting seismic events in coal mines based on
2017-9-1 An important aspect of safe and efficient coal mining is the prediction of seismic hazards (particularly those related to high-energy destructive tremors which may result in rock-bursts). Safety refers to saving workers from accidents and injuries, while efficiency refers to unplanned shut-downs of longwall systems.
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Coal mining U.S. forecast until 2030 Statista
2009-3-27 Published by Statista Research Department,Mar 27, 2009. The statistic shows the EIA forecast for U.S. coal production until 2030. In 2030, the U.S. coal production is estimated to have an energy
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Exploration on coal mining-induced rockburst prediction
2022-3-27 With the increase in mining depth and intensity, the threat of rockburst caused by high stress in stope to coal mining (CM) safety production is becoming ever more serious. However, it is more difficult to predict and prevent rockburst in deep mining coal seams under complex environments. Firstly, this paper analyzes the detection requirements in the tested
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An integrated approach for the prediction of subsidence
2013-11-8 In this study, land subsidence caused by underground mining activities was investigated by means of a new subsidence prediction approach (ISP-Tech) which takes into account the most important parameters contributing subsidence development such as coal production methods, depth, mining sequence and other geomechanical characteristics of
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Predictable condition analysis and prediction method of
2022-8-8 The forward prediction of mining subsidence in coal mining areas is key to evaluating mining risk and improving mine management plans. At present, the conditions that ensure successful application of the time function method to predict future subsidence in coal mining areas remain poorly known, and a prediction method suitable for large-scale subsidence
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Application of hybrid artificial intelligence model to
2020-4-1 1 State Key Laboratory of Coal Resources and Safe Mining, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China; School of Mines, China University of Mining The predictive results denote that the GA-BPNN-AdaBoost predictive model is an efficient and accurate method to predict coal strength alteration induced by CO 2
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Predicting mine water inflow and groundwater levels for
2019-2-21 Coal and water resources have played important roles in China’s social and economic development. Thus, accurate and reliable predictions of coal mine water inflow and aquifer water level variations are required to ensure mining safety and assess the impact of coal mining on groundwater aquifers. A three-dimensional numerical model was established for unsteady
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How to predict coal mine roof conditions before mining
OSTI.GOV Journal Article: How to predict coal mine roof conditions before mining. How to predict coal mine roof conditions before mining. Full Record; Other Related Research; Authors: Campbell, J A.L.; Petrovic, L J; Mallio, W J [1];
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Predictable condition analysis and prediction method of
2022-8-8 The forward prediction of mining subsidence in coal mining areas is key to evaluating mining risk and improving mine management plans. At present, the conditions that ensure successful application of the time function method to predict future subsidence in coal mining areas remain poorly known, and a prediction method suitable for large-scale subsidence
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Coal mine gas emission prediction method based on
The mean value of the decision tree output value is taken as the prediction result of coal mine gas emission and the out-of-bag data is used to evaluate the prediction performance of the regression model. The optimal hyperparameters of the random forest regression model are determined by calculating the mean of squared residuals and goodness of
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Coal mining U.S. forecast until 2030 Statista
2009-3-27 Published by Statista Research Department,Mar 27, 2009. The statistic shows the EIA forecast for U.S. coal production until 2030. In 2030, the U.S. coal production is estimated to have an energy
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Prediction of progressive surface subsidence above
2001-10-1 The prediction of progressive subsidence for the 1176E working face, Qianjiaying Coal Mine, indicates that this method is effective and easy to apply for analysis in practice. The differential subsidence characteristics, such as progressive slope, progressive curvature and horizontal strain can also be calculated similarly.
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Research on prediction of underground coal mining face
Abstract: This paper tries to effectively predict the change trend of mining pressure in the working face,thereby reducing roof accidents and guiding coal mine safety production,a mining pressure data prediction model Prophet+LSTM is proposed that integrates
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Ground Breakers: Ratings agencies up coal forecasts as
20 小时前 Coal miners continue to run as ratings agencies lift their forecasts, with one saying the ban of Russian coal in Europe could put a rocket under the previously unloved commodity. Shares in Whitehaven Coal (ASX:WHC) hit a five-year high this morning, gaining for the third straight day as Russia’s coal ban came into force overnight.
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Coal Mine Disaster Prediction IJERT
The prediction model uses Ensemble Learning which is a combination of various algorithms. The algorithm gets the data from an IoT setup which by considering various parameters like. temperature, humidity, fire and gas concentrations. The model consists of 3 phases: Figure 1: Block diagram of the proposed system.
احصل على السعر
Predicting seismic events in coal mines based on
2017-9-1 An important aspect of safe and efficient coal mining is the prediction of seismic hazards (particularly those related to high-energy destructive tremors which may result in rock-bursts). Safety refers to saving workers from accidents and injuries, while efficiency refers to unplanned shut-downs of longwall systems.
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How to predict coal mine roof conditions before mining
OSTI.GOV Journal Article: How to predict coal mine roof conditions before mining. How to predict coal mine roof conditions before mining. Full Record; Other Related Research; Authors: Campbell, J A.L.; Petrovic, L J; Mallio, W J [1];
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Prediction and Evaluation of Coal Mine Coal Bump Based
2021-10-20 A coal mine in Shanxi Province is used to predict coal bump with the improved depth learning method. The prediction results verify the effectiveness and correctness of the DA-DNN coal bump prediction model. Finally, it is proved that the model can effectively provide a scientific basis for coal bump prediction of similar projects. 1
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Coal Thickness Prediction Method Based on VMD and
2022-1-12 The change in coal seam thickness has an important influence on coal mine safety and efficient mining. It is very important to predict coal thickness accurately. However, the accuracy of borehole interpolation and BP neural network is not high. Variational mode decomposition (VMD) has strong denoising ability, and the long short-term memory neural
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Ground Breakers: Ratings agencies up coal forecasts as
20 小时前 Coal miners continue to run as ratings agencies lift their forecasts, with one saying the ban of Russian coal in Europe could put a rocket under the previously unloved commodity. Shares in Whitehaven Coal (ASX:WHC) hit a five-year high this morning, gaining for the third straight day as Russia’s coal ban came into force overnight.
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