application for coal mining data

Application of Forecasting Models on Indian Coal …

Application of Forecasting Models on Indian Coal Mining Fatal Accident (Time Series) Data ... varies from characteristic data mining/machine learning applications where each data point is an ...

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Reform, application and challenges of utilizing big data in …

Big data greatly impact current social science research paradigms and traditional safety management. Moreover, widespread big data application in coal …

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Mining Employees Safety and the Application of …

Introduction. Coal mining is one of the most dangerous industries in the world. Human factors such as intentional violation, mismanagement, and defective design cause coal mining accidents ().The functional climate of the coal mining presents many hazards to personnel, including the proximity to machinery, hydraulic and electrical …

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Application of Fuzzy Time Series Forecasting Model for …

The data for the period 1990 to 2013 related to underground coal mining was available for following parameters: • Underground Coal Mining Employment in 1000 • Underground Coal Mining Output ...

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A new technical pathway for extracting high accuracy surface

The scans were conducted on July 9, 2020 (not yet mined), September 17, 2020 (working face mining to 410 m), and October 31, 2020 (working face mining to 752 m). The data collection area is a rectangular area measuring 1300 m in length and 860 m in width, and the underground mining working face and surface data collection area are …

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Enhancing Coal Mining Efficiency: : A Unified Platform for …

This article presents a framework for a mine-wide integrated automation management and control platform with the goal of advancing coal mining through unified data, models, platforms, and plans. Utilizing cutting-edge technologies, the platform offers resource management, real-time monitoring, remote control, statistical analysis, and ...

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Research and practice of intelligent coal mine technology …

We focused on the intelligent development of coal mines, and introduced the "Chinese mode" of intelligent mining in underground coal mines, which uses complete sets of technical equipment to propose classification and grading standards. ... 3.2 Data push strategy of intelligent coal mines. The traditional data application is a query ...

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data.world

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Data Mining Technology and Its Applications in Coal and …

Data mining technology can help decision- makers analyze historical and current data and discover hidden relationships and patterns. Furthermore, it can predict …

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Application of life cycle assessment in the mining industry

Mining provides most of the raw materials for industrial processes and products. Coal mining provides about half (48.5% in 2008) of the net electricity generated in the USA (US Energy Information Administration 2008).In LCA studies, the mining system is often represented as a black box, not lending itself to the interpretation of the different …

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Coal

The BLM manages coal leasing on the Federal mineral estate with development potential, which totals about 570 million acres, with the goal of providing a fair return for the American taxpayer while allowing environmentally responsible energy development. Visit our coal data page for national and regional coal lease statistics.

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Accident causes data-driven coal and gas outburst accidents …

The application results showed that (1) under normal conditions, there are approximately 797,280 accident paths for coal and gas outbursts. Following data mining, 188 main accident paths were found. (2) Sensitivity analysis determined 19 factors that were sensitive to safety concept elements (SC1), of which the three most sensitive …

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Applications of Seismic Reflection in the Coal Environment

INTRODUCTION Seismic reflection data have been acquired for coal mining operations in Australian coal basins for over 30 years. Originally used solely as a resource exploration tool, the seismic method now routinely contributes to coal-mine design and development. ... This paper also highlights new converted-wave coal-seismic applications, such ...

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AI's potential role in the coal industry

Data security and privacy are crucial in any AI application. How can the coal industry ensure that sensitive data, such as geological surveys or employee information, is protected when using AI ...

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Enhancing Coal Mining Efficiency: : A Unified Platform for …

This article presents a framework for a mine-wide integrated automation management and control platform with the goal of advancing coal mining through …

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Prediction of coal seam details and mining safety using

The geologic data for two mining tunnels in the 11-2 coal bed, provided by Huainan Coal Mining Group, were used to verify the known structure and lithology predictions. ... Yancey, D. J., M. G. Imhof, J. E. Feddock, and T. Gresham, 2007, Analysis and application of coal-seam seismic waves for detecting abandoned mines: Geophysics, 72, no. 5, M7 ...

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A dynamic information platform for underground coal mine …

The application of IoT technology makes it possible to collect and record big data associated with coal mining. Subsequent processing of IoT-collected data …

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Deep learning implementations in mining applications: a …

Other processes in the mining value chain could include exploration, planning, safety and reclamation. This paper aims to provide a comprehensive systematic review of published work on DL implementations in metal and coal mining-related applications, categorised based on the mining tier processes in Fig. 2. The aim is to …

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An open database on global coal and metal mine production

Our open database on global coal and metal mine production 12 covers worldwide mining activities of metal ores and coal, on an individual mine level. It …

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Landscape Character Assessment (LCA) in Historic Coal Mining …

Landscape character assessment (LCA) is a crucial tool for conserving an area's unique character. However, in our literature review, we found no data linking LCA to historic coal mining settings. This systematic review explores the ways in which the landscape character assessment (LCA) methodology has been applied, as well as the …

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Construction and analysis of a coal mine accident causation network

The accident reports involve 24 provinces and 7 accident types, ensuring the objectiveness and universality of the subsequent application of text mining technology to identify the causes of coal mine accidents. 2.2. Text mining. In recent years, the application of data analysis in accident investigation reports has provided new paths to …

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Utilization of Remote Sensing and GIS in Geology and Mining

Also, GIS is suitable for managing various data linked to geology and mining. Flow chart of the systematic review Altered rock area indicating hydroxyl presence in bright pixels of ETM data.

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Reform, application and challenges of utilizing big data in coal …

Coal mining is an important energy industry as well as high risk industry with high accident rate. The objective of this study is to establish an early warning model for coal mine accidents.

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Experimental study and application of similar materials in thick coal

The working face has a length of 822.0 m and a tilt length of 206.5 m. The dip angle of the coal seam ranges from 3° to 11°, with an average of 7°, and is simulated in a horizontal coal seam manner. The coal mining method was comprehensive mechanized coal mining, with a mining speed of 3.0 m per day.

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Gas explosion early warning method in coal mines by intelligent mining

In order to predict gas explosion disasters rapidly and accurately, this study utilizes real-time data collected from the intelligent mining system, including mine safety monitoring, personnel positioning, and video surveillance. Firstly, the coal mine disaster system is decomposed into sub-systems of disaster-causing factors, disaster-prone …

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Development of coal geological information technologies in China …

1.1 Overview of China. Coalmine is a traditional industry with a heritage of more than 1000 years. Before the computer technology was applied to the underground coal mine systems, various types of geospatial information, such as coal seam, roof and floor, aquifers, faults, scouring belts, coal seam outcrops, coal seam gas content, and …

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Applications of Machine Vision in Coal Mine Fully

The coal mining procedure takes place at the coal ... Review studies related to machine vision applications in mining. ... Data-based modelling Minerals processing:

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Planning applications and Coal Mining Risk Assessments

The Coal Authority's Planning and Development Team offers a pre-application advice service, charged on a cost recovery rate basis, to assist developers and their advisors when considering ...

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Applications of artificial intelligence for coal mine gas risk

Therefore, the safe mining of coal is a crucial foundation to support global energy security and economic stability. ... R-squared value, and MAPE. In addition, due to the large amount of coal mine monitoring data, in order to facilitate the application of the model in the dynamic assessment of coal mine gas risk, the time spent in the training ...

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U.S. Coal Resources and Reserves Assessment

The U.S. Coal Resources and Reserves Assessment Project, as part of the U.S. Geological Survey (USGS) Energy Resources Program, conducts systematic, geology-based, regional assessments of significant coal beds in major coal basins in the United States. These assessments detail the quantity, quality, location, and economic …

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رقم 1688 ، طريق Gaoke شرق ، حي بودونغ الجديد ، شنغهاي ، الصين.

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