Journal articles on the topic 'Coal Analysis Data processing'
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1
Lyrshchikov, Sergey Yu, and Larisa V. Sotnikova. "Comparative analysis of the structure of coals of different stages of metamorphism according to 13C NMR data." Butlerov Communications 63, no. 8 (August 31, 2020): 53–57. http://dx.doi.org/10.37952/roi-jbc-01/20-63-8-53.
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In this paper, the method of cross-polarization with magic angle rotation and decoupling from protons (CPMAS) 13C NMR spectroscopy obtained quantitative data on the distribution of carbon over structural fragments and calculated the degree of aromaticity (fa) of some coal samples from various Siberian deposits of a wide range of metamorphism. All the coals used in the work were characterized by standard methods (proxymate and ultimate analysis). The optimal parameters of the pulse program for recording the spectra of coals have been determined. To obtain quantitative data, the spectra were simulated. The spectrum model included from 9 to 13 components, depending on the stage of coal metamorphism. The dependences of the degree of aromaticity and the sum of oxygen-containing functional groups on the stage of coal metamorphism were constructed. The results obtained show that the structure of coals regularly changes depending on the stage of their metamorphism. The revealed relationships of the structure and properties of coals, together with the parameters of their reactivity, can ensure the safe behavior of coals in the processes of mining and processing, as well as in determining possible ways of using the studied coal samples as a valuable chemical raw material.
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Li, Fan Xiu, Xing Ping Wen, and Shao Jin Yi. "Numerical Measurement and Data Processing of Air Pollution." Applied Mechanics and Materials 577 (July 2014): 1219–22. http://dx.doi.org/10.4028/www.scientific.net/amm.577.1219.
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Relational analysis method was a data process method used to sort out the correlation extent of effect factors in a system with uncertain information. Common mathematical methods were not applicable for describing the relationship. A new method, equivalent numerical relational degree (ENRD) model was developed to evaluate the effect of different factors on air pollution. The effects of different factors-the port throughput, amount of coal, industrial output, and motor vehicle ownership, investment in fixed assets, real estate development and construction of housing construction area on the quality of atmospheric environment were studied. The degrees of correlation were calculated according to ENRD and the values of the port throughput, amount of coal, industrial output, motor vehicle ownership, investment in fixed assets, real estate development and construction of housing construction area were 0.7947, 0.7943, 0.7289, 0.7238, 0.6702 and 0.6527, respectively. From these values, the relations of these factors to the quality of atmospheric environment could be described and evaluated, and the port throughput and amount of coal were relatively major.
3
Sheta, Sahar, Muhammad Sher Afgan, Zongyu Hou, Shun-Chun Yao, Lei Zhang, Zheng Li, and Zhe Wang. "Coal analysis by laser-induced breakdown spectroscopy: a tutorial review." Journal of Analytical Atomic Spectrometry 34, no. 6 (2019): 1047–82. http://dx.doi.org/10.1039/c9ja00016j.
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This review article forms a guideline for LIBS contribution in coal analysis, encompassing fundamental aspects, operation modes, data processing, and analytical results. LIBS applications related to coal utilization are also highlighted (fly ash analysis and combustion monitoring).
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Choi, Jae Seung, Choong Mo Ryu, Jung Hyun Choi, and Seung Jae Moon. "Improving the Analysis of Sulfur Content and Calorific Values of Blended Coals with Data Processing Methods in Laser-Induced Breakdown Spectroscopy." Applied Sciences 12, no. 23 (December 4, 2022): 12410. http://dx.doi.org/10.3390/app122312410.
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In Situ monitoring of the calorific value of coal has the advantage of reducing the amount of unburned carbon by injecting an appropriate amount of combustion air immediately to induce complete combustion. High sulfur concentrations cause severe environmental problems such as acid rain. In order to estimate the calorific value and measure the sulfur concentration, a new powerful technique for mixed coals was studied. Laser-induced breakdown spectroscopy (LIBS) does not require sample preparation. Several blended coals were used for the experiment to replicate the actual coal-fired power plant conditions. Two well-known data processing methods in near-infrared spectroscopy have been adopted to enhance the weak sulfur emission lines. The performance of the partial least square regression model was established by the parameters such as coefficient of determination, R2, relative error, and root mean square error (RMSE). The RMSE average was compared with the results of previous studies. As a result, the values from this study were smaller by 6.02% for the calibration line and by 4.5% for the validation line in near-infrared spectroscopy. The RMSE average values for calorific values were calculated to be less than 1%.
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Atamanyuk, O. A. "ANALYSIS AND PROSPECTS OF SEPARATE ENVIRONMENTAL PROTECTION SYSTEMS AT COAL MINING AND COAL PROCESSING ENTERPRISES OF UKRAINE." Journal of Coal Chemistry 5 (2021): 15–25. http://dx.doi.org/10.31081/1681-309x-2021-0-5-15-25.
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The article describes the organizational regional structure of industrial waste management in modern Ukraine, which will improve the efficiency of industrial waste management systems and industrial energy facilities in Ukraine. The structure of industrial waste management at different system levels, from the national to the level of an industrial enterprise, is described. The data on the recommendations of the World Health Organization on the emissions of toxicants into the air and the data of the State Statistics Service of Ukraine on the content of the main pollutant gases in air emissions from stationary sources of Ukraine from 1990 to 2018 are presented. The scheme of the negative impact on the environment of emissions of pollutants from stationary sources – production facilities of coal mining and coal processing is characterized. Comparative data on the indicators of the volumes of toxic waste generation at the enterprises of European countries and the heavy industry of Ukraine are given. It is shown that the main sources of the impact of coal processing enterprises and coal processing industries on all spheres of the environment are organized and unorganized dust and gas emissions, discharges of process wastewater and effluents from the surface and from the volumes of dumps and sludge collectors of coal processing plants. As a result of comprehensive research by the authors, a number of coal dumps of concentrating factories in Eastern Ukraine have been studied, migration routes and concentration of rare and heavy metal compounds in the soil near coal dumps have been investigated. Rather stringent standards for the content of hazardous substances in industrial waste require special methods for neutralizing coal sludge before final disposal and / or disposal.of the raw materials used to obtain humic acids. The corresponding equations are given. Keywords: coal sludge, coal preparation plants, coal dumps, sludge collectors, surface runoff, environmental pollution, emissions into the atmosphere, gaseous, liquid and solid toxicants. Corresponding author O.М. Kasimov, e-mail: nto@ukhin.org.ua
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Sujatha, CN. "Coal Production Analysis using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 14, 2021): 919–26. http://dx.doi.org/10.22214/ijraset.2021.35130.
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Coal will keep on giving a significant segment of energy prerequisites in the US for at any rate the following quite a few years. It is basic that exact data portraying the sum, area, and nature of the coal assets and stores be accessible to satisfy energy needs. It is likewise significant that the US separate its coal assets productively, securely, and in a naturally mindful way. A restored center around government support for coal-related examination, facilitated across offices and with the dynamic cooperation of the states and modern area, is a basic component for every one of these necessities. In this project we attempt to predict the coal production using various features given the data set. We attempt to implement regression algorithms and find the best algorithm along with fine tuning the parameters of the algorithm. The existing system uses the linear regression model one of the main issues with this basic linear regression is that it does not have a regularization parameter and hence overfits the data. The system also does not provide enough pre-processing and visualization or Exploratory Data Analysis (EDA). We aim to build advanced regression models like ridge and lasso regression and also fine tune the parameters of the model. These models would be trained on a data set which will be engineered carefully after performing the feature engineering.
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Jia, Rui Sheng, Hong Mei Sun, Chong Qing Zhang, and Xue Ting Lv. "Modeling for Safety Evaluation of Coal Mine Roof Based on Information Fusion." Advanced Materials Research 143-144 (October 2010): 439–43. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.439.
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Factors that affect the safety of coal mine roof is a multi-faceted, information fusion technology can take full advantage of multi-source information complementary, comprehensive, and improving information quality and credibility of coal mine roof safety. In analyzing the current monitoring means, a coal mine roof safety evaluation model is presented based on information fusion, and given information processing steps of multi-sensor data analysis, processing, distribution and integration based on Dempster-Shafer evidence theory; For the elimination of multi-source data fusion of uncertain factors, proposed coal mine roof safety decision-making rules; The simulation analysis shows that the validity of the model and practicality.
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Gordienko, M. O. "The selection of technological basis of deep processing of coal." Journal of Coal Chemistry 4 (2021): 15–21. http://dx.doi.org/10.31081/1681-309x-2021-0-4-15-21.
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THE SELECTION OF TECHNOLOGICAL BASIS OF DEEP PROCESSING OF COAL © M.O. Gordienko (State Enterprise "Ukrainian State Research Coal Chemical Institute (UHIN)", 61023, Kharkov, Vesnina st., 7, Ukraine) The article is devoted to the analysis of the possibility of expanding the raw material base of thermal energy, as well as meeting the demand for motor fuels and chemical products through the thermochemical processing of coal, the reserves of which are large enough and available for extraction and transportation. Moreover, in contrast to technologies such as methanization and liquefaction, the most promising type of deep processing of coal seems to be its gasification. This process is carried out in sealed devices of high power according to the technologies that have a long history of improvement on an industrial scale by the world's leading companies. It was emphasized that Ukraine has significant reserves of low-calorie coal (constantly expanding due to waste of coal preparation), the thermochemical processing of which can significantly expand the domestic energy base. The basic principles of classification and technological foundations of existing industrial and industrial research installations for gasification of coal and similar materials are given. The basic diagrams and main parameters of the existing installations, which carry out the gasification process at temperatures below the melting point of the mineral (ash-forming) components of the raw material, are described - Sasol Lurgi and SES Gasification Technology (SGT). Based on the data on the world experience in the operation of thermochemical coal processing units, it is shown that low-temperature (carried out at a temperature below the melting point of the mineral ashforming components) gasification of various types of non-coking coal with certain technological solutions can be no less effective than more complex and expensive high-temperature technologies. There are grounds for believing that the efficiency of gasification with ash removal in a solid state can be further increased by using some of the technological capabilities available in coke production. Keywords: brown coal, non-coking coals, thermochemical processing, gasification, efficiency, degree of carbon conversion, energy carriers, synthesis gas, environmental safety. Corresponding author M.O. Gordienko, е-mail: yo@ukhin.org.ua
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Gordienko, M. O. "The selection of technological basis of deep processing of coal." Journal of Coal Chemistry 4 (2021): 15–21. http://dx.doi.org/10.31081/1681-309x-2021-0-4-15-21.
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THE SELECTION OF TECHNOLOGICAL BASIS OF DEEP PROCESSING OF COAL © M.O. Gordienko (State Enterprise "Ukrainian State Research Coal Chemical Institute (UHIN)", 61023, Kharkov, Vesnina st., 7, Ukraine) The article is devoted to the analysis of the possibility of expanding the raw material base of thermal energy, as well as meeting the demand for motor fuels and chemical products through the thermochemical processing of coal, the reserves of which are large enough and available for extraction and transportation. Moreover, in contrast to technologies such as methanization and liquefaction, the most promising type of deep processing of coal seems to be its gasification. This process is carried out in sealed devices of high power according to the technologies that have a long history of improvement on an industrial scale by the world's leading companies. It was emphasized that Ukraine has significant reserves of low-calorie coal (constantly expanding due to waste of coal preparation), the thermochemical processing of which can significantly expand the domestic energy base. The basic principles of classification and technological foundations of existing industrial and industrial research installations for gasification of coal and similar materials are given. The basic diagrams and main parameters of the existing installations, which carry out the gasification process at temperatures below the melting point of the mineral (ash-forming) components of the raw material, are described - Sasol Lurgi and SES Gasification Technology (SGT). Based on the data on the world experience in the operation of thermochemical coal processing units, it is shown that low-temperature (carried out at a temperature below the melting point of the mineral ashforming components) gasification of various types of non-coking coal with certain technological solutions can be no less effective than more complex and expensive high-temperature technologies. There are grounds for believing that the efficiency of gasification with ash removal in a solid state can be further increased by using some of the technological capabilities available in coke production. Keywords: brown coal, non-coking coals, thermochemical processing, gasification, efficiency, degree of carbon conversion, energy carriers, synthesis gas, environmental safety. Corresponding author M.O. Gordienko, е-mail: yo@ukhin.org.ua
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Kamoza, Ekaterina S. "Studying the effect the physicochemical properties of fine size raw coal organic and mineral composition have on beneficiation efficiency." Izvestiya vysshikh uchebnykh zavedenii Gornyi zhurnal 6 (September 15, 2021): 65–75. http://dx.doi.org/10.21440/0536-1028-2021-6-65-75.
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Introduction. This work presents the results of the research on the effect the petrographic characteristics, elemental and mineral composition have on the Kedrovsko-Krohalevskoe fine coal beneficiation efficiency. The data has been analyzed of raw coal physochemical properties at the stage of mining and dressing mill raw material base formation. Research objective is to study thermal coal by physicochemical methods of analysis to identify the main parameters affecting the quality of beneficiation products. Based on the data obtained, the research aims to develop the method of assessing the indicators affecting the beneficiation process and further forecasting during the development of new areas and coal seams. Methods of research. The structural features of raw KCN (coking low-caking low-metamorphosed) coal were determined by comparative analysis of three samples according to the following parameters: laboratory flotation results, general technical parameters, maceral composition, organic matter elemental composition, and ash mineral composition. Results. It has been established that coals of a similar nature of origin and stage of metamorphism, can have different indicators in vaarious parameters: particle size, number and morphology of microcomponents according to quantitative petrographic analysis, as well as the presence of hydrophilic functional groups on the surface of coals. Conclusions. The results of the studies made it possible to identify a number of dependencies that can be used in a preliminary assessment of the quality of raw coal sent to a coal processing enterprise.
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Kamoza, Ekaterina S. "Studying the effect the physicochemical properties of fine size raw coal organic and mineral composition have on beneficiation efficiency." Izvestiya vysshikh uchebnykh zavedenii Gornyi zhurnal 6 (September 15, 2021): 65–75. http://dx.doi.org/10.21440/0536-1028-2021-6-65-75.
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Introduction. This work presents the results of the research on the effect the petrographic characteristics, elemental and mineral composition have on the Kedrovsko-Krohalevskoe fine coal beneficiation efficiency. The data has been analyzed of raw coal physochemical properties at the stage of mining and dressing mill raw material base formation. Research objective is to study thermal coal by physicochemical methods of analysis to identify the main parameters affecting the quality of beneficiation products. Based on the data obtained, the research aims to develop the method of assessing the indicators affecting the beneficiation process and further forecasting during the development of new areas and coal seams. Methods of research. The structural features of raw KCN (coking low-caking low-metamorphosed) coal were determined by comparative analysis of three samples according to the following parameters: laboratory flotation results, general technical parameters, maceral composition, organic matter elemental composition, and ash mineral composition. Results. It has been established that coals of a similar nature of origin and stage of metamorphism, can have different indicators in vaarious parameters: particle size, number and morphology of microcomponents according to quantitative petrographic analysis, as well as the presence of hydrophilic functional groups on the surface of coals. Conclusions. The results of the studies made it possible to identify a number of dependencies that can be used in a preliminary assessment of the quality of raw coal sent to a coal processing enterprise.
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Park, Jong Hyun, Choong Mo Ryu, Kyung Hoon Park, Jung Hyun Choi, and Seung Jae Moon. "Determination of Calorific Value of Mixed Coals by Analysis of Major Elements Using Data Pre-Processing in Laser-Induced Breakdown Spectroscopy." Applied Sciences 13, no. 1 (December 20, 2022): 6. http://dx.doi.org/10.3390/app13010006.
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The purpose of this study was to enhance the accuracy of the calorific value estimation of coal by applying data preprocessing methods in laser-induced breakdown spectroscopy (LIBS). The Savitzky–Golay (SG)-smoothing and SG derivative preprocessing methods were adopted to improve the accuracy of the prediction model. The relationship among the original, SG-smoothing-pretreated, and SG derivative-pretreated LIBS data and their elemental concentrations were determined using the partial least squares regression (PLSR) model. In order to compare the reliability of each PLSR model, the coefficient of determination, root mean square error (RMSE), relative error, and RMSE average were used. As a result, the reliability of the PLSR model processed with the SG derivative method was the highest, and the root mean square average was the lowest among the three models. The predictability of the concentration of each element using the PLSR model pre-processed by the SG derivative was confirmed with the residual predictive deviation parameter. The predicted calorific value was estimated from the predicted concentrations of elements in coal using Dulong’s equation. The PLSR model pretreated by the SG derivative showed the lowest error compared to the calorific value of mixed coals obtained via the chemical analysis.
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Smoliński, Adam, Przemysław Rompalski, Krzysztof Cybulski, Jarosław Chećko, and Natalia Howaniec. "Chemometric Study of Trace Elements in Hard Coals of the Upper Silesian Coal Basin, Poland." Scientific World Journal 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/234204.
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The objective of the study was the analysis of trace elements contents in coals of the Upper Silesian Coal Basin (USCB), which may pose a potential threat to the environment when emitted from coal processing systems. Productive carbon overburden in central and southern zones of the USCB is composed mostly of insulating tertiary formations of a thickness from a few m to 1,100 m, and is represented by Miocene and Pliocene formations. In the data study the geological conditions of the coal seams of particular zones of the USCB were taken into account and the hierarchical clustering analysis was applied, which enabled the exploration of the dissimilarities between coal samples of various zones of the USCB in terms of basic physical and chemical parameters and trace elements contents. Coals of the northern and eastern zones of the USCB are characterized by high average Hg and low average Ba, Cr, and Ni contents, whereas coals of southern and western zones are unique due to high average concentrations of Ba, Co, Cu, Ni, and V. Coals of the central part of the USCB are characterized by the highest average concentration of Mn and the lowest average concentrations of As, Cd, Pb, V, and Zn.
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Tong, Ruipeng, Yanwei Zhang, Pengcheng Cui, Cunli Zhai, Meng Shi, and Surui Xu. "Characteristic Analysis of Unsafe Behavior by Coal Miners: Multi-Dimensional Description of the Pan-Scene Data." International Journal of Environmental Research and Public Health 15, no. 8 (July 29, 2018): 1608. http://dx.doi.org/10.3390/ijerph15081608.
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As a high-risk occupation, coal mining has many accidents, primarily due to the unsafe behavior of coal miners. Based on the research of analysis of unsafe behavior and pan-scenario data of miners, a theoretical framework for the analysis of unsafe behavior characteristics was proposed in this paper. The collected data were divided into realistic scenes and abstract scenes according to different manifestations; the pan-scene data were described from the eight dimensions of time, behavioral trace, location, behavioral property, behavioral individual, degree, unsafe action, and specialty using a quantitative method for the structure conversion; and the rules were discovered through cluster analysis and association analysis. A total of 225 coal mine gas explosion accidents were used for analysis, and the pan-scene data description and structure conversion of unsafe behavior that caused these accidents were realized. In a certain cluster, the distribution rules of dimensions and the interaction between different dimensions of unsafe behavior were explored after analysis. The results show that the proposed eight dimensions can fully explain the basic characteristics and attributes of the unsafe behavior of coal miners. The structure conversion can reduce the workload of managers and effectively improve the safety data processing capabilities, and the result of data analysis can provide data support and a management basis for safety management. A new method and thought for the data analysis of miners’ unsafe behavior is provided.
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Chen, Yuexin, Shunbao Liao, and Dahui Qin. "Study on inversion of coal seam temperature in mining area --Pingshuo mining area of Shanxi Province." E3S Web of Conferences 165 (2020): 03014. http://dx.doi.org/10.1051/e3sconf/202016503014.
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Landsat 8 is widely used in the extraction of surface temperature, but the data of surface temperature and abnormal area in Pingshuo mining area is vacant based on Landsat 8 in recent years, and there is no standard optimal algorithm to follow. In order to explore the possibility of underground coal fire in Pingshuo mining area of Shanxi Province in the future, based on the Landsat 8 satellite data, the temperature inversion method is used to observe the temperature distribution of the mining area, and three commonly used algorithms of temperature inversion processing are used to compare and analyze the SC algorithm as the best data processing method. The artificial threshold method and NDVI threshold method are used to extract the temperature anomaly area and vegetation coverage area, and calculate the area and proportion of coal fire potential area. According to a series of the data and result charts analysis, it shows that: the highest vegetation index of Pingshuo mining area is 0.79, the vegetation coverage is low, and the surface temperature is more than 41.44 ℃, which may lead to the spontaneous combustion of underground coal mines. However, the area prone to underground coal fires is small and controllable. According to the area of potential coal fires in the mining area, the local relevant departments can take relevant measures to prevent coal fire through the distribution map of potential coal fires.
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Chen, Wen Hao, Sam Y. S. Yang, Ti Qiao Xiao, Sherry C. Mayo, Yu Dan Wang, and Hai Peng Wang. "A synchrotron-based local computed tomography combined with data-constrained modelling approach for quantitative analysis of anthracite coal microstructure." Journal of Synchrotron Radiation 21, no. 3 (March 18, 2014): 586–93. http://dx.doi.org/10.1107/s1600577514002793.
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Quantifying three-dimensional spatial distributions of pores and material compositions in samples is a key materials characterization challenge, particularly in samples where compositions are distributed across a range of length scales, and where such compositions have similar X-ray absorption properties, such as in coal. Consequently, obtaining detailed information within sub-regions of a multi-length-scale sample by conventional approaches may not provide the resolution and level of detail one might desire. Herein, an approach for quantitative high-definition determination of material compositions from X-ray local computed tomography combined with a data-constrained modelling method is proposed. The approach is capable of dramatically improving the spatial resolution and enabling finer details within a region of interest of a sample larger than the field of view to be revealed than by using conventional techniques. A coal sample containing distributions of porosity and several mineral compositions is employed to demonstrate the approach. The optimal experimental parameters are pre-analyzed. The quantitative results demonstrated that the approach can reveal significantly finer details of compositional distributions in the sample region of interest. The elevated spatial resolution is crucial for coal-bed methane reservoir evaluation and understanding the transformation of the minerals during coal processing. The method is generic and can be applied for three-dimensional compositional characterization of other materials.
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VORONIN, Vyacheslav, Fedor NEPSHA, Aleksander ERMAKOV, and Leonid KANTOVICH. "ANALYSIS OF ELECTRICAL EQUIPMENT OPERATING MODES OF THE EXCAVATION SITE OF A MODERN COAL MINE." Sustainable Development of Mountain Territories 13, no. 4 (December 20, 2021): 599–607. http://dx.doi.org/10.21177/1998-4502-2021-13-4-599-607.
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The growth in the power supply and the development of a mechanized complex of mining districts in coal mines has an impact on the characteristics of their power consumption. The improvement of coal mining technologies affects the servicing factor of mining machines, and the introduction of a modern variable-frequencyelectric drive can affect the dynamics of changes in electrical loads. Cited in the literature, the characteristics of the electrical load of the excavation districts of coal mines were obtained in the XX century and are outdated. To make adequate technical solutions in the design and management of power supply systems for coal mines, it is necessary to update these characteristics. Implementation of the SCADA system in coal mines makes it possible to obtain a large amount of measurement information that can be processed using modern methods of working with big data. The purpose of this work is a comparative analysis of the statistical characteristics of the electrical load of the modern Eickhoff SL 900 shearer with similar characteristics of the shearers used in the 1980s. The measurement data is collected using the SCADA system of a coal mine and includes measurements of the current, the shearer speed and the conveyor traffic flow. The measurement period covers 72 days. After the initial processing of the measurements, data arrays were formed with a time interval of 5 seconds. As a result of statistical processing of the arrays of measurements, the following characteristics of the shearer were determined: cycle time; work time; downtime; cyclic duration factor (CDF); time utilization degree (ηТ); coefficient of variation (CV). Comparative analysis of the listed characteristics showed that the SL 900 shearer has a significantly longer duration of operation and the time utilization degreein comparison with shearers of the 1960-1970s. Correlation analysis of the electrical load of the shearer with the shearer speed and the conveyor traffic flow showed a weak relationship, from which it was concluded that the dynamics of the change in the longwall shearer electrical load is mainly determined by the presence of solid inclusions in the destroyed coal mass.
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Yang, Xiao Li, Neng Bang Hou, Jun You Shi, and Yan Fang Li. "Discrete Wavelet Transform on Near-Infrared Spectra Analysis for Moisture Determination in Lignitic Coal Samples." Applied Mechanics and Materials 513-517 (February 2014): 319–22. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.319.
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We studied moisture determination in lignitic coal samples through near-infrared (NIR) technique. This research was developed by applying partical least squares regression (PLS) and discrete wavelet transform (DWT). Firstly, the NIR spectra were pre-processed by DWT for fitting and compression. Then, the compressed data were used to build regression model with PLS for moisture determination in coal samples. Three type DWTs were investigated.Determination performance at different resolution scales was studied. The results show that DWT is a very efficient pre-processing method for NIR spectra analysis.
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Yang, Zengfu, Zengcai Wang, and Ming Yan. "Performance Analysis of Natural γ-Ray Coal Seam Thickness Sensor and Its Application in Automatic Adjustment of Shearer’s Arms." Journal of Electrical and Computer Engineering 2020 (August 25, 2020): 1–10. http://dx.doi.org/10.1155/2020/5986013.
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The technology of coal-rock interface recognition is the core of realizing the automatic heightening technology of shearer’s rocker. Only by accurately and quickly identifying the interface of coal and rock can we realize the fully automatic control of shearer. As the only one used in the actual detection of coal mining machine drum cutting coal seam after the thickness of the remaining coal seam detection method, natural γ-ray has a very practical advantage. Based on the relationship between the attenuation of the natural γ-ray passing through the coal seam and the thickness of the coal seam, the mathematical model of the attenuation of the natural γ-ray penetrating coal seam is established. By comparing the attenuation intensity of γ-ray with or without brackets, it is verified that the hydraulic girders will absorb some natural γ-rays. Finally, this paper uses the ground simulation experiment and the field experiment to verify the correctness of the mathematical model and finally develop the natural γ-ray seam thickness sensor. The sensor has the function of indicating the thickness of the coal seam, measuring the natural γ-ray intensity, and storing and processing the data.
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Vershinina, Ksenia, Vadim Dorokhov, Daniil Romanov, Galina Nyashina, and Geniy Kuznetsov. "Multi-Criteria Efficiency Analysis of Using Waste-Based Fuel Mixtures in the Power Industries of China, Japan, and Russia." Applied Sciences 10, no. 7 (April 3, 2020): 2460. http://dx.doi.org/10.3390/app10072460.
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This paper presents the results of analyzing the efficiency of the following five fuel types: dry coal, wet coal processing waste, coal–water slurry, and two waste-derived slurries. In the calculations, we employed 16 criteria related to the energy industry, economy, social aspects, safety at plants, and environmental protection. We used the experimental data, obtained from the combustion of the fuels under study at three heating temperatures (700 °C, 800 °C, and 900 °C). Three countries were analyzed, where all of them have a high share of using fossil fuels in the energy industry: Japan, China, and Russia. The total performance indicator was calculated using three multiple-criteria decision analysis techniques (weighted sum method, weighted product method, and analytic hierarchy process). The choice of weight coefficients was confirmed for each method. We found that coal and coal–water slurry had the lowest integral efficiency indicators (0.016–0.535 and 0.045–0.566, respectively). The maximum effect was achieved when using waste-derived slurry with used turbine oil (0.190–0.800) and coal processing waste (0.535–0.907). There were, on average, 3%–60% differences in the integral efficiency indicator for the same fuel in different countries. The difference in the efficiency indicator of the same fuel in different countries was on average 3%–60%; with changes in temperature, the difference in efficiency was 5%–20%; and when changing the calculation procedure, the difference was 10%–90%.
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Wang, Da Hu, Yan Nan Shi, and Wen Bo Chen. "Design of Coal mining Roof Pressure Monitoring System Based on Labview." Applied Mechanics and Materials 488-489 (January 2014): 1019–22. http://dx.doi.org/10.4028/www.scientific.net/amm.488-489.1019.
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In order to monitor the press of mining roof in combined face, the paper design a coal mining roof pressure monitoring system. The system includes roof pressure testing device, intelligent portable data acquisition meter and upper lever computer monitoring and processing system. Roof pressure testing device is mainly testing the pressure of mining roof and transmitting pressure data to intelligent portable data acquisition meter by infrared communication technology within the allotted time. Intelligent portable data acquisition meter can also transmit pressure data to upper lever computer monitoring and processing system for further analysis and storage. Test results indicate that the system can achieve long-term continuous monitoring to roof pressure and provide the reference frame about roof control through the analysis of the monitoring results.
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Kim, Sergey, Murzabek Baikenov, Darzhan Aitbekova, Kanat Ibishev, Mazhit Meiramov, and Fengyun Ma. "Thermal degradation of primary coal tar distillate in the presence of iron nanopowder." Chemical Bulletin of Kazakh National University, no. 3 (September 20, 2022): 36–41. http://dx.doi.org/10.15328/cb1278.
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Impact of the nanosized iron powder on the process of thermal degradation of coal tar distillate was determined by the thermogravimetric analysis. Coal tar distillate was obtained by simple distillation up to 350°C of primary coal tar from the Shubarkol deposit. Iron powder was obtained by electrochemical reduction of iron from sulfate electrolytes at simultaneous impact of high-voltage electric discharge on cathodic zone. Scanning electron microscopy showed that iron powder consists of nanosized particles (30-124 nm) forming aggregates. X-ray diffraction analysis revealed the presence of α-Fe and FeO(OH) phases. The average crystallite size determination was made using Scherrer equation and amounted to 31.7 nm. Obtained iron powder was added to the coal tar distillate in amount of 1% of distillate weight and this mixture was subjected to thermal degradation at heating rate 5°C/min in an inert atmosphere. Processing of the data obtained was carried out using the model-fitting Coats-Redfern method. The values of activation energy were calculated from the linear approximation constructed as a result of processing thermoanalytical data. It was found that the addition of iron powder in amount of 1% to the coal tar distillate reduces the activation energy from 153.98 kJ/mol to 84.48 kJ/mol.
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Yancey, Daniel J., Matthias G. Imhof, John E. Feddock, and Tod Gresham. "Analysis and application of coal-seam seismic waves for detecting abandoned mines." GEOPHYSICS 72, no. 5 (September 2007): M7—M15. http://dx.doi.org/10.1190/1.2750374.
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Two in-seam reflection surveys and one transmission survey were acquired at an abandoned underground mine near Hurley, Virginia, to demonstrate the feasibility of detecting abandoned-mine voids utilizing coal-seam seismic waves. Standard, commonly available tools for seismic reflection processing were used. The mine was detected and located by using trapped coal-seam seismic waves observed in both the transmission and reflection data. Detecting the void, however, was not good enough to replace drilling entirely. We conclude that in-seam seismic methods can be used for detection; but if a potential void is detected, focused drilling should be applied for accurate mapping and to circumvent potentially hazardous areas.
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Volchyn, I. A., L. S. Haponych, and V. O. Mokretskyy. "Estimation and forecasting of carbon dioxide emissions from coal-fired thermal power plants in Ukraine." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 5 (October 30, 2022): 80–88. http://dx.doi.org/10.33271/nvngu/2022-5/080.
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Purpose. Development and verification of a method for calculating and forecasting CO2 emissions from coal combustion at thermal power plants based on proximate analysis data. Calculation of gross and specific CO2 emissions per unit of output energy and mass of coal consumed at Ukrainian thermal power plants (TPPs). Methodology. Methods of mathematical statistics were used for processing the data of ultimate and proximate analysis of 170samples of A, L, G, and LFG coal ranks with low heat value on operating state in the range of 17.2 to 31.0 MJ/kg and ash content on dry state (Ad) in the range of 3.8 to 38.0% to determine relationships between carbon emission factors (kc), calorific value, and ash content. Findings. The values of emission factors and gross CO2 emissions for mixtures of coals of grades A and L, G and LFG at Ukrainian TPPs in 20172021 were calculated. For 2021, the average value of for coals of grades G and LFG was 94,128 g/GJ, and for coals of grades A and L it was 104,987 g/GJ. Gross CO2 emissions at Ukrainian TPPs have been in the range of 3849million tons in recent years, and their annual reduction is due to a decrease in energy production and fuel consumption at TPPs, primarily of grades A and L. Originality. Empirical dependencies kc for steam coal of different ranks are determined in the form of The coefficients a, b, and c are determined for grades A, L, G, and LFG and their mixtures. The relationship between the carbon content in coal and the low heat value for coal is linear: where K is a coefficient depending on the coal grade. The values of K are determined for coal of grades A, L, G, and LFG. Practical value. Verification of the created method shows that the calculation error is less than 1.0%. This is in line with the requirements of the Monitoring Procedure and Directive 2003/87/EC. In 2021, the specific CO2 emission per unit of output energy at TPPs in Ukraine was 1,084 g/kWh for all ranks of steam coal. The values of specific CO2 emissions per unit mass of consumed coal were 1.94 t/t for coals of all grades, 1.91 t/t for grades G and LFG, and 2.21 t/t for grades A and L. The official annual reports of the Ministry of Energy of Ukraine contain information on the amount of produced electricity, consumed coal, and forecast balances of electricity production at TPPs, therefore, the values of specific emissions established by us are convenient to use for estimating and forecasting carbon dioxide emissions.
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Li, Xiongwei, Hualiang Yin, Zhe Wang, Yangting Fu, Zheng Li, and Weidou Ni. "Quantitative carbon analysis in coal by combining data processing and spatial confinement in laser-induced breakdown spectroscopy." Spectrochimica Acta Part B: Atomic Spectroscopy 111 (September 2015): 102–7. http://dx.doi.org/10.1016/j.sab.2015.07.007.
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Voronin, Vyacheslav, Fedor Nepsha, and Aleksandr Ermakov. "Analysis of electric consumption: a study in the excavation area of the modern coal mine." E3S Web of Conferences 326 (2021): 00005. http://dx.doi.org/10.1051/e3sconf/202132600005.
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The growth in the power supply of coal mines over the past decades has had a significant impact on their power consumption. The use of outdated materials for assessing the coal mine energy characteristics may lead to large calculation errors. At the same time, the problem of reducing the energy intensity of coal mining does not lose its relevance. However, in order to achieve it, it is necessary to take into account the current level of development of the mechanized complex of excavation areas. The widespread introduction of SCADA systems and the development of methods for big data processing makes it possible to collect large arrays of measurements and study the power consumption of mining equipment. In this paper, on the basis of extensive arrays of electrical load measurements and technological parameters, a statistical analysis of the load of a modern Eickhoff SL 900 longwall shearer of the Kuzbass coal mine is carried out.
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Hongxi, Li, Zhou Enhui, Zhang Bo, Jiang Haishen, Shen Ling, and Yin Zixin. "Dynamics Analysis and Experiment of Novel Compound Dry Separator." Shock and Vibration 2022 (October 6, 2022): 1–11. http://dx.doi.org/10.1155/2022/1420900.
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China is the world’s largest producer and consumer of coal. The method of dry coal beneficiation is a key method of separation technology in the field of coal mining. In this paper, the structure of a novel compound dry separator (NCDS) was revealed. The dynamic characteristics and vibration behavior of the NCDS were studied through theoretical modeling, simulation research, and experimental test methods. The mathematical model and simulation model based on ADAMS of the NCDS were established. The experiment for the NCDS was carried out using the dynamics characteristic testing system. The dynamic curve and spatial trajectory of the NCDS were obtained. The Lissajous figure of displacement indicated that the space motion trajectory of the NCDS was an oblique line. The dynamic characteristics of the NCDS with different rotational speeds were revealed. The effect of eccentricity on the dynamic characteristics of the NCDS was discussed, and the vibration amplitudes increased with the increase of eccentricity. The results showed that the deviation of the simulation data and theoretical data was within 3.75%, and the result of the experiment data and theoretical data was within 6.98%. Through comparison and verification, the theoretical model with high accuracy can accurately calculate the dynamic characteristics of the NCDS before processing and manufacturing. This paper provides a reference for the design and efficient operation of the new compound dry separation machine.
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Lugovoy, Yu, N. Antonov, K. Chalov, A. Stepacheva, Yu Kosivtsov, E. Sulman, and M. Sulman. "Thermal Processing of Wood Waste." Bulletin of Science and Practice 5, no. 12 (December 15, 2019): 26–36. http://dx.doi.org/10.33619/2414-2948/49/03.
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Describes the processes of thermal conversion of soft– and hardwood waste to obtain gaseous, liquid and solid products. During the initial stage of the work, the thermogravimetric study of initial samples of birch and pine sawdust was performed in the temperature range from 35 to 1000 °C. On the basis of the thermal analysis data obtained, a method of pyrolysis process of wood waste in the temperature range of 400–500 °C in an inert environment was developed. As a result of experiments on pyrolysis of wood waste, the dependence of the conversion of selected samples into final products, the properties of the resulting gaseous and solid carbon-containing products depending on the conditions of the process, the size of the fraction and the type of wood were obtained. It was found that the optimal temperature of the pyrolysis process in the studied range of system parameters is 450 °C, and the particle size of wood waste is 1–2 mm. Data on the molecular mass distribution of volatile pyrolysis products and kinetic parameters of the pyrolysis process were obtained. The activation energies of the pyrolysis process for pine and birch sawdust samples were 119.3 and 128.2, respectively. The specific surface area of the initial samples of birch and pine wood waste was 9.3 and 8.5 m2/g, respectively. The specific surface area of coal pyrolysis residues for hardwoods increased by 2.4 times and for conifers by 2.1 times, respectively, and assumed values of 22.3 and 17.9 m2/g. Therefore, the coal residues of pyrolysis of wood waste can potentially be used as raw materials for the production of activated carbons and carbon sorbents of various applications.
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Ma, Lei, Shou Jun Cao, and Jian Feng He. "Framework Planning of a Provincial Information Management Platform for Energy Resource Analysis and Forecast Based on Diversified Data Acquisition." Advanced Materials Research 869-870 (December 2013): 495–503. http://dx.doi.org/10.4028/www.scientific.net/amr.869-870.495.
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The information system with function of data acquisition and processing could be an essential foundation of decision making and planning for government on energy resource management in China. However, some existing barriers have impeded the usage of data, such as inefficiency mode of data reporting and transmission, sluggishness of data collection and summarization, deficiency of data standardization and serious information asymmetry. In this paper, a framework planning of an info management platform in provincial level is proposed for energy resource condition analysis and prediction. The various types of data from industries of electrical power, coal, petroleum and others such as bio-gas is acquired and analyzed based on certain data processing methods. And the related systems of statistic index, early warning index, monitoring index and unit GDP energy consumption statistic index and evaluation are established. The proposed platform can support info service to government or related department, help keep the balance and stabilization of energy supply.
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Dunne, Jarrod, and Greg Beresford. "Improving seismic data quality in the Gippsland Basin (Australia)." GEOPHYSICS 63, no. 5 (September 1998): 1496–506. http://dx.doi.org/10.1190/1.1444446.
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Deep seismic exploration in the Gippsland Basin is hindered by strong noise below the Latrobe Group coal sequence. The reflectivity method provides a means for constructing detailed and accurate synthetic seismograms, often from little more than a partial sonic log. The noise contributions to the synthetics can then be interpreted using additional synthetics computed from variations upon the depth model and by exercising control over the wave types modeled. This approach revealed three types of persistent noise in progressively deeper parts of the subcoal image: (1) mode‐converted interbed multiples (generated within the coal sequence), (2) S-wave reflections and long‐period multiples (generated between the coal sequence and the Miocene carbonates), and (3) surface‐related multiples. The noise interpretation can also be performed upon semblance analyses of the elastic synthetics to guide a velocity analysis away from a well. This procedure helped to avoid picking the interformation long‐period multiples, whose stacking velocities were only 5 to 10% below those of the weak target zone primaries. An improve subcoal image was obtained by making full use of the versatile noise suppression offered by a τ-p domain processing stream. By separating the strong linear events at the far offsets, it is possible to stack a larger portion of the target zone reflections, provided hyperbolic velocity filtering (HVF) is applied to suppress the transform artifacts. Hyperbolic velocity filtering can be incorporated into a point‐source τ-p transform to suppress S-wave reflections and guided waves while preserving plane‐wave amplitudes to assist the subsequent deconvolution of the mode‐converted interbed multiples. Stacking in the τ-p domain is achieved using an elliptical moveout correction that reduces wavelet stretch and approximates the exact reflection traveltime better than NMO. Two regional seismic lines were reprocessed in this manner and cointerpreted with the modeling studies performed at nearby wells to avoid the noise events that still remained. Several new events appeared in the immediate target zone, passing the low‐frequency character expected following transmission through a coal sequence.
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Jamróz, Dariusz. "Application of Multidimensional Scaling to Classification of Various Types of Coal/Zastosowanie Skalowania Wielowymiarowego Do Klasyfikacji Różnych Typów Węgli." Archives of Mining Sciences 59, no. 2 (June 1, 2014): 413–25. http://dx.doi.org/10.2478/amsc-2014-0029.
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Abstract Visualization of multidimensional data is a new way of statistical analysis of so-called statistical graphical methods. These methods allow to classify some analyzed objects, including their various features. Facing grained materials problems, like coal or ores many characteristics have an influence on the quality of product. In case of coal, many features must be taken into consideration to determine quality of the material. Apart from most obvious characteristics like particle size, particle density or ash contents there are many others which cause significant differences between considered types of material. In the paper the application of Multidimensional Scaling Method is presented which is one of the multidimensional data visualization techniques. To this purpose, sampling of three types of coal was performed, which were 31, 34.2 and 35 (according to Polish classification of coal types). First, the material was screened on sieves and then divided into density fractions. Next step was to analyze chemically the obtained particle and size fractions of researched coal. Then, the Multidimensional Scaling Method was applied to visualize the investigated set of data. It was proved that the applied methodology allows to identify certain coal types efficiently and can be used as a qualitative criterion for grained materials. However, it was impossible to achieve such identification comparing all three types of coal together. The Multidimensional Scaling Method is new technique of data analysis concerning widely understood mineral processing.
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Tiwari, R. K., R. Rajesh, T. Seshunarayana, and K. Dhanam. "Complex noise suppression and reconstruction of seismic reflection data from fault structures using Space Lagged Singular Spectral Analysis." Nonlinear Processes in Geophysics Discussions 1, no. 1 (April 11, 2014): 649–63. http://dx.doi.org/10.5194/npgd-1-649-2014.
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Abstract. The seismic reflection data processing to identify thin coal beds and intrinsic fault structure associated with coalmines suffers from the coherent noise that arises due to interference and diffraction of seismic signals from adjacent horizontal boundaries on either sides of the fault structure. The amplitudes of the interfering reflections mislead the interpretation of geological features like faults, curved reflectors, etc. In particular, correlated and erratic noise create more severe problem than the random noise in the interpretation of such complex geological structures. Here, we employed Space Lagged Singular Spectral Analysis (SLSSA) algorithm, which decomposes the amplitudes from a constant time/depth to determine the original signal amplitude based on eigen properties of the signal. Thus, we can de-noise seismic signal to delineate the concealed discontinuities and to map the fault structures. Initially, we tested the algorithm on the synthetic data of fault structure embedded with complex mixed noise (random and colored) of known percentage. Finally, the method was employed on high-resolution seismic reflection observations recorded from Singareni coalfield, India. The SLSSA method reveals some significant kinematic fault structures in the coal-bearing zone, which agreed with regional fault structures in the PG basin and correlates well with available geological information in the area.
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Rizca, Muhammad Miftah Noor, Qomariyatus Sholehah, and Sigit Siswanto. "ANALISIS BEBAN GENERATOR TERHADAP NILAI HEAT RATE DAN EFISIENSI PLTU (STUDI OBSERVASIONAL DI PT. INDOCEMENT TUNGGAL PRAKARSA, Tbk P-12 TARJUN – KALIMANTAN SELATAN)." Scientific Journal of Mechanical Engineering Kinematika 3, no. 2 (December 13, 2018): 73–84. http://dx.doi.org/10.20527/sjmekinematika.v3i2.13.
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Heat rate is a measure of the reliability of a generating unit and as the amount of fuel energy required to produce 1 kWh of electrical energy. This study aimed to generator load analysis on the value of heat rate, specific coal consumption and the efficiency of the plant. Heat rate, specific coal consumption and power plant efficiency can be determined by knowing the proximate coal analysis, parameter data from the control room, determine the heat value of coal, power and efficiency of the auxiliary units, NPHR, SCC, the efficiency of the boiler, turbine and power plant. From the data processing are obtained graph generator load to NPHR, SCC and efficiency of the plant. From the calculations, the highest value NPHR of 3580.77 kcal / kWh when the load of 29.86 MW, the highest value of SCC of 0.60 kg / kWh when the load is 29.86 MW power plant and the highest efficiency of 33.54% when the load 47, 8 MW. So the higher the value of the generator load NPHR and SCC will be smaller, while efficient the power plant will increase.
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Jie, Tian, Wang Hongyao, Meng Guoying, Sven Bilen, and Wu Xinli. "Novel method of data compression for the online detection signal of coal mine wire rope." Insight - Non-Destructive Testing and Condition Monitoring 62, no. 10 (October 1, 2020): 600–608. http://dx.doi.org/10.1784/insi.2020.62.10.600.
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Coal mine wire rope detection is related to personnel and production safety. With the Chinese coal mining trend tending towards deep mining, a considerable amount of data is critical for the online detection of deep well lifting wire rope. To improve the sampling rate, decrease the analysis processing time and realise real-time online detection, this paper proposes an online detection data compression processing method. The study focuses on the distortion compression method for the online detection signal of deep well hoisting wire rope. The set partitioning in hierarchical trees (SPIHT) algorithm is one of the most advanced methods in the field of image transformation coding. Compared with other coding algorithms, the SPIHT algorithm demonstrates desired characteristics such as a high signal-to-noise ratio, lower complexity and decreased computational load, among others. This paper discusses how, in combination with the image processing method, a compression coding method for the one-dimensional signal of the magnetic leakage detection of the mining wire rope is developed. Furthermore, the set partitioning sorting algorithm is investigated and analysed, the temporal orientation tree structure of the one-dimensional signal of the wavelet coefficient is defined for wire rope magnetic leakage detection and the SPIHT algorithm is presented, in addition to an example of the one-dimensional signal from the magnetic leakage detection of the wire rope. The results reveal that under the condition of the normalised mean square error (NMSE; NMSE < 0.01) of distortion, the compression ratio improved by 30%. The online detection signal lossy compression method proposed in this study has a considerable influence on the recovery of the original signal, in addition to a higher compression ratio and a reduced computation time, compared to the existing method.
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Yin, Wangbao, Lei Zhang, Lei Dong, Weiguang Ma, and Suotang Jia. "Design of a Laser-Induced Breakdown Spectroscopy System for On-Line Quality Analysis of Pulverized Coal in Power Plants." Applied Spectroscopy 63, no. 8 (August 2009): 865–72. http://dx.doi.org/10.1366/000370209788964458.
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It is vitally important for a power plant to determine the chemical composition of coal prior to combustion in order to obtain optimal boiler control. In this work, a fully software-controlled laser-induced breakdown spectroscopy (LIBS) system comprising a LIBS apparatus and sampling equipment has been designed for possible application to power plants for on-line quality analysis of pulverized coal. Special attention was given to the LIBS system, the data processing methods (especially the normalization with Bode Rule/DC Level) and the specific settings (the software-controlled triggering source, high-pressure gas cleaning device, sample-preparation module, sampling module, etc.), which gave the best direct measurement for C, H, Si, Na, Mg, Fe, Al, and Ti with measurement errors less than 10% for pulverized coal. Therefore, the apparatus is accurate enough to be applied to industries for on-line monitoring of pulverized coal. The method of proximate analysis was also introduced and the experimental error of Aad (Ash, ‘ad’ is an abbreviation for ‘air dried’) was shown in the range of 2.29 to 13.47%. The programmable logic controller (PLC) controlled on-line coal sampling equipment, which is designed based upon aerodynamics, and is capable of performing multipoint sampling and sample-preparation operation.
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Shahzad, Muhammad, Syed Mahmood Arshad, Zulfiqar Ali, Rana Ahmad Ali, and Hamza Shabeer. "Characterization of Cleaning Potential of Khokhar-Bala, Punjab (Pakistan) Coal and Simulation-Based Study for Identification of Best Strategy for its Cleaning." Pakistan Journal of Scientific & Industrial Research Series A: Physical Sciences 64, no. 1 (March 1, 2021): 26–34. http://dx.doi.org/10.52763/pjsir.phys.sci.64.1.2021.26.34.
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This study involves the characterization of Khokhar-Bala coal of Punjab (Pakistan) coal field to establish its particle distribution data for size, density and floatability through sizing, float-sink tests and release analysis. Khokhar Bala coal contains high amounts of unwanted impurities like ash (35.22%) and sulphur (8.38%). Over 93% of its mass consists of +1.00 mm particles, when run-of-mine coal is crushed to 38 mm. Washability curves, degrees of washing and the S-values show that the coarser fractions (-38+25 mm; -25+13.33 mm; -13.33+3.35 mm) are extremely difficult to clean, whereas the cleaning potential is high for size fractions -3.35+1.00 mm (moderately difficult) and -1.00+0.15 mm (relatively easy). Modelling and simulation of several processing configurations indicate that at 16% target ash content, dense medium cyclone treating 38 x 1 mm coal particles will provide the maximum clean yield of 37.39% with sulphur content of 4.80%.
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Golik, V. I. "Technology of the Environmentally Correct Recultivation of the Mine Surface with Leaching of the Coal Enrichment Tailings." Occupational Safety in Industry, no. 4 (April 2022): 13–17. http://dx.doi.org/10.24000/0409-2961-2022-4-13-17.
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On the territory of Donbass, more than 450 mine dumps with a volume of up to 300 million m3 and an area of 1.3 thousand hectares have a negative impact on the land, the area of which reaches 7 thousand hectares. In connection with this, an urgent task arises to involve processing waste in the production process for obtaining the end products. It is known that the coal enrichment tailings contain critical non-ferrous and rare-earth metals. However, the processing of coal enrichment tailings using traditional physical and chemical technologies does not solve the problem of mine surface reclamation due to new tailings formation. The main method of reclamation of the mine surface is the inclusion of dump materials in the natural circulation of the metal extraction. A promising direction of the development is the processing of coal enrichment tailings in the disintegrators with leaching. This will help to prevent an ecological catastrophe in the region and obtain critical products. The rational application of the theory of mechanical activation of processes, the use of the results of field observations and analysis methods at the satisfactory convergence of the theoretical and practical data, will allow to minimize the negative impact of coal processing tailings on the environment. Based on the results of comprehensive studies, the parameters of the waste-free disposal of coal tailings as the main cause of degradation of the environmental ecosystems were substantiated. The ecological and economic effect is ensured by the combination of sorting and mechanical activation of tailings of the coal preparation in the disintegrators. The recommended technology may become in demand in the development of deposits of the metal-containing technologically discovered minerals. It is used for industrial mining of uranium, copper, and gold at 12 enterprises in Russia. The proposed approach has good prospects as the only one that ensures cost-effective environmental and resource-saving production.
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Migliavacca, Daniela Montanari, Lúcia Schild Ortiz, Felipe Deppe Alves, Henrique Hasenack, and Elba Calesso Teixeira. "Aplicação da análise fatorial e do Sig à integração e apresentação dos resultados do estudo da qualidade de água e sedimentos fluviais na região do Baixo Jacuí, RS." Ciência e Natura 23, no. 23 (December 10, 2001): 59. http://dx.doi.org/10.5902/2179460x27124.
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Factor analysis and geoprocessing techniques were complementary tools for integration and visual presentation of results from water quality and fluvial sediment studies in Baixo Jacuí region, Rio Grande do Sul State, Brazil. Samples were taken along 18 months in 15 sites along the Jacuí river and main tributaries, especially Conde creek, where there is important anthropogenic contribution associated to coal explotation, processing and waste disposal. The proposed water quality index to the region has facilitated the detection of critical fluvial segments, particularly related to trace elements concentration in Conde creek. In Jacuí river it was not observed a water quality variation, problably in responde to a high dilution capacity. On the other hand, the application of fatorial analysis techniques to sediment data suggested its great sensitivity to assess the main sources of pollution to the water resources in the study region and pointed out the accumulation of pollutants in the sediments, from industrial and coaI processing related sources. This results could be integrated by geoprocessing techniques to facilitate public presentation.
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Bondarchuk, E. N., A. S. Pochtar, S. V. Vinogradov, and V. I. Popov. "Experimental studies of in-line gasification of mechanically activated coal fuel." Journal of Physics: Conference Series 2119, no. 1 (December 1, 2021): 012158. http://dx.doi.org/10.1088/1742-6596/2119/1/012158.
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Abstract The 1 MW experimental stand was modernized with a scroll swirler and a crushed fuel supply system. Comparative data on combustion and gasification of coal fuel crushed in high-stress mills - disintegrator, vibrocentrifugal and hammer mill - at a stand with a thermal power of 1 MW were obtained. The experiments used coal of the Kuznetsk Basin, grade D, with technical characteristics: Wr, % = 5.4; Ar, %=22.3; Vr, % = 32.3; Qsr, MJ/kg = 20.0. Elemental analysis showed that: Cr, %=54.6; Hr, % = 4.1; Nr, % = 1.3; Sr, % = 0.5; Or = 11.8. In experiments with grinding coal on a disintegrator mill, the value of H2 = 4.5 vol.% and CO = 9.4 vol.%, when grinding in a vibro-centrifugal mill, the values of H2 = 0.6 vol.% and CO = 5.8 vol.%, when grinding in a hammer mill, the values of H2 = 0.3 vol.% and CO = 2.8 vol.%. When studying the combustion of mechanochemically treated coal samples, it was found that, all other things being equal, the gasification parameters, namely, the gas concentration and the distribution of temperature zones, depend strongly on the type of equipment used for processing. In particular, processing to approximately the same degree of fineness in mechanical mills-activators with constrained impact and in free impact mills (disintegrators) resulted in different flame parameters.
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Ma, Yankun. "Multiscale Fractal Characterization of Pore Structure for Coal in Different Rank Using Scanning Electron Microscopy and Mercury Intrusion Porosimetry." Processes 10, no. 8 (August 11, 2022): 1577. http://dx.doi.org/10.3390/pr10081577.
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Multiscale fractal analysis of the pore system for coal is necessary to obtain more inner information. The techniques of Scanning Electron Microscopy (SEM) and Mercury Intrusion Porosimetry (MIP) are combined to characterize the pore structure of natural coal. A total of eight coal samples, of a different rank and coalification degree, are prepared for experiments. Methods of SEM image processing, piecewise curve-fitting and correction of intrusion data are adopted to obtain more useful results. According to the pore size range of the MIP probe, pores in coal are classified as seepage pore (pore size ≥ 1000 nm), transition pore (pore size ≥ 50 nm and <1000 nm) and mesopore (pore size < 50 nm). Variations of multi-scale fractal dimensions are studied from the perspective of coalification degree or coal rank. Fractal dimension from SEM data (D1) and fractal dimensions of seepage pore, transition pore and mesopore (D2, D′2 and D″2) from MIP data are calculated by fitting curves, and consequently correlations of those with volatile matter (Vdaf), pore volume and pore size are analyzed and discussed. The U-shape relationships between fractal dimensions (D1, D2 and D′2) and Vdaf are observed. Macropores are presented as the isolated clusters embedding in the network of smaller pores, and the difference of the order of magnitude of the pores’ size affects the connectivity between pores. Both the pore size and volume have a direct influence on multiscale fractal dimensions. Overall, multiscale fractal analysis is beneficial to explore the structure of natural coal.
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Nie, Meng Ya, Meng Ran Zhou, and Xue Qiang Fu. "Monitoring of Flooding Water under Coal Mine Based on Improved Fuzzy Clustering." Applied Mechanics and Materials 580-583 (July 2014): 2713–16. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.2713.
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Due to the complicated coal mine flooding water quality monitoring data, in order to extract the effective data from vast amounts of data, this article used the fuzzy clustering to analyze the monitoring data processing. This study makes a brief analysis of monitoring data structure, then analyzes the shortcomings of fuzzy C mean clustering algorithm (FCM),which also proposes fuzzy C-means algorithm based on particle swarm optimization (PSO-FCM). Finally samples of the underground water data are used to carry out the instance simulation. The experiment results showed that in dealing with data samples. The algorithm had some advantages and it was worthy of research.
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Wang, Zhiyong, Jingzhao Zhang, Yaran Yu, Jian Liu, Wei Liu, Na Jiang, and Donge Guo. "Monitoring, Analyzing, and Modeling for Single Subsidence Basin in Coal Mining Areas Based on SAR Interferometry with L-Band Data." Scientific Programming 2021 (February 9, 2021): 1–10. http://dx.doi.org/10.1155/2021/6662097.
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Excessive exploitation of underground mine resources has caused serious land subsidence in China. This paper focused on monitoring and modeling the single subsidence basin in coal mining area based on SAR interferometry (InSAR). The optimum InSAR processing strategy to monitor the mining subsidence was built to obtain the land subsidence with large deformation. And a method of three-dimensional mathematical modeling of single subsidence basin based on InSAR measurements was presented. Using Jining Coalfield (China) as the study area, we acquired 7 L-band PALSAR images from January 2008 to February 2010 to monitor the land subsidence in Jining Coalfield. The deformation maps in Jining Coalfield in different periods were obtained. Taking the Geting Coal Mine within the Jining coalfield as an example, we finely analyzed and interpreted the deformation maps. Compared with the simultaneous filed measurements, the precision of deformation measurement using D-InSAR in mining area was analyzed. The root mean square error was 1.37 cm. The method of fine interpretation and analysis for a single subsidence basin was established. The experiments have proved that InSAR technique with L-band InSAR data is suitable for monitoring mining subsidence with large deformation. And the 3D mathematical modeling method could be used for the single subsidence basin in coal mining area.
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Malahayati, Rina. "STRUKTUR KEPEMILIKAN MANAJERIAL, STRUKTUR KEPEMILIKAN INSTITUSIONAL, DAN UKURAN PERUSAHAAN TERHADAP KINERJA PERUSAHAAN DAN DAMPAKNYA TERHADAP MANAJEMEN LABA PADA PERUSAHAAN SEKTOR PERTAMBANGAN BATUBARA PADA TAHUN 2017-2019." Jurnal Akuntansi dan Keuangan 9, no. 1 (March 18, 2021): 29. http://dx.doi.org/10.29103/jak.v9i1.3551.
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This study is aimed to examine the influence of managerial ownership structure, institutional ownership structure, and firm size on company performance and the impact on the earning management on companies of sector coal mining in 2017 – 2019. Unit analysis are companies listed on coal mining for period 2017-2019. The population are 75 observations (25 companies x 3 years). Data processing uses panel data processed by using SPSS. For testing the hypothesis, the study uses path analysis. The result showed that (1) managerial ownership structure, institutional ownership structure, and firm size simultaneously to company performance, (2) the managerial ownership structure no effect on company performance, (3) the institutional ownership structure effect to negatively on company performance, (4) the firm size effect to positively on company performance, and (5) the company performance effect to negatively on earning management.
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Fu, Hui, Rui Min Feng, and Hui Yu. "Study on Risk Evaluation of Sand Inrush of Thick Coal Seam under Water-Bearing Unconsolidated Strata." Advanced Materials Research 599 (November 2012): 769–72. http://dx.doi.org/10.4028/www.scientific.net/amr.599.769.
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For the difficulties of sand inrush of thick coal seam under water-bearing unconsolidated strata in mining projects, we carried out scientific analysis of hydro-geological conditions, including the lithology, thickness, and water yield property of water-bearing unconsolidated strata, On the basis, the heights of caving zone and water conducted zone were predicted, mining method was decided, the reasonable size of safety pillars was discussed under the condition of thick coal seam slicing mining. Based on the powerful data processing capabilities of GIS, the risk of sand inrush caused by multiple factors are analyzed quantitatively, and sand inrush risk zoning map was also analyzed eventually.
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Ma, Xian Min, and Mei Hui Xu. "Fault Diagnosis of Coal Electrical Shearer Based on Quantum Neural." Applied Mechanics and Materials 574 (July 2014): 452–56. http://dx.doi.org/10.4028/www.scientific.net/amm.574.452.
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An improved quantum neural network model and its learning algorithm are proposed for fault diagnosis of the coal electrical haulage shearer in order to on line monitor working states of the large mining rotating machines. Based on traditional BP neural network, the three-layer quantum neural network is constructed to combine quantum calculation and neural network for the error correction learning algorithm. According to the information processing mode of the biology neuron and the quantum computing theory, the improved quantum neural network model has the ability of identifying uncertainty in fault data classifications and approximating the nonlinear function for different fault types to monitor the electrical motor voltage, current, temperature, shearer location, boom inclination, haulage speed and direction in the coal electrical cutting machines. The theory analysis and simulation experiment results show that the control performances and the safety reliability of the coal shearer are obviously improved, while the quantum neural network model is applied to the nonlinear feature fault diagnosis of the coal electrical haulage shearer.
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Zhang, Jia Yong, Xue Min Gong, and Li Wen Guo. "Study on the Safety Assessment System of Fire Hazard in Coal Mine." Advanced Materials Research 415-417 (December 2011): 2126–29. http://dx.doi.org/10.4028/www.scientific.net/amr.415-417.2126.
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Fire hazard is one of the severe casualty accident, which injures the life-safety of the miner crucially and disturbs the sustained development of the coal mine. Recently the check-up table is the mere method applying for the assessment of the fire hazard, and the assessment conclusion is subjective intensively and the Index System of the Safety Assessment is not perfect, because the dangerous degree of fire hazard is set up by the professional. In this paper, the seven factors were generalized through the statistic and analysis of the 56 fire hazards, which included self-ignite gradation of coal bed, miner stuff, management of ventilation of coal pits, fire control system, safety administration, mine combustible, risk ratio of the electrical equipment. The ratio of each factor was confirmed by the method of layered analysis, the safety degree was set up through data processing and the proper measure and suggestion were put forward according to the safety result.
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Antsiferov, A. V., A. A. Glukhov, V. V. Tumanov, D. V. Son, and S. P. Olenjuk. "ON SEISMIC TOMOGRAPHY ALGORITHM TO PREDICT DISCONTINUITIES IN COAL SEAMS." Mining science and technology, no. 4 (December 31, 2018): 21–33. http://dx.doi.org/10.17073/2500-0632-2018-4-21-33.
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The article describes the algorithm for seismic imaging data processing that enables detecting and evaluating geological anomalies based on the system of specific criteria. Employing the algorithm we can complete the process of profile record, amplitude and velocity spectra computation, filtering and imaging of T-X curves. Subsequently computation and statistical processing of kinematic and dynamic parameters are made in the selected velocity windows. The main procedures for the algorithm include tomographic recovery of wavefield parameters in the plane of extraction panel, detection and interpretation of anomalous zones based on the prediction criteria to determine type of the discontinuity. There is a good reason that tomography in the plane of extraction panel shall be made in velocity windows of the dedicated wavetrains step by step for the main informative parameters. Analysis of the velocity distribution for the amplitude module maximum provides high accuracy when it comes to detect anomalous zones. This parameter is marked by relative independence on chance factors. Analysis of typical wavetrain frequency shift is determining factor indicative not only of the discontinuity but also of its type. Recording of wavetrain amplitude distribution is characterized by high accuracy in terms of anomalous zone detection. However, recording is complicated by dependence on a host of chance factors. The other parameters have much lesser quality and can be used as auxiliary. The algorithm is implemented into software capable to computerize most time-consuming operations. Use of this algorithm is illustrated as a case study for the results of data analysis and interpretation for seismic exploration at 37К10-В longwall panel section in Kuzembaev Mine (Kazakhstan).
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Li, Shu Zhen, and Hui Huang. "Three Jiaohe Coal Mine Safety Information Management System Design Scheme." Advanced Materials Research 734-737 (August 2013): 3030–33. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.3030.
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In order to solve the three JiaoHe coal mine safety production the problems existing in the management and detailed analysis of the safety of this ore information management status, determine the safety information management system design goal, make the system design of the guiding ideology, the advanced nature, adaptability, according to the developmental and reliability of principles in the design, the management system has strong data processing ability can provide the scientific decision of leaders at all levels of the data support, advanced and reliable information means can help enterprise further improve safety management work process optimization and realize the goal of prevention, so as to reduce the number of accidents, ensure the safety of the QuanKuang production.
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Tian, Shuicheng, Pengfei Yang, and Kai Tang. "Coal Mine Gas Explosion Vulnerability Assessment Based on the “Glass Heart” Model." Geofluids 2021 (April 23, 2021): 1–10. http://dx.doi.org/10.1155/2021/9916181.
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Gas explosion, which is the main type of accidents reported in coal mines, comes with serious economic and safety consequences. The present work adopts the “glass heart” model for assessing the vulnerability of coal mines to gas explosions based on a constructed gas explosion vulnerability assessment index system. The proposed index system is applied to a coal mine in Henan Province, China, as an example. The original disturbance index is augmented by including the energy release index factor. The Delphi method is employed by six experts to score the index factors according to a scoring standard. Data analysis and processing yield a gas explosion vulnerability score of 0.431 for the example mine. Accordingly, the mine is classified as grade II, indicating that the mine is likely to result in casualties and/or property loss. A comparison of the assessment results with those obtained via an analysis of records pertaining to previous gas explosion accidents indicates that the proposed assessment of gas explosion vulnerability by means of the “glass heart” assessment model is realistic. The “glass heart” vulnerability assessment method offers a new perspective and methodology for assessing the vulnerability of coal mines to gas explosion and conducting coal mine risk classification.
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Balakina, G. F., and M. P. Kulikova. "The Development of coal deposits in the Tyva Republic: challenges and risks." Mining Industry Journal (Gornay Promishlennost), no. 3/2022 (July 1, 2022): 99–102. http://dx.doi.org/10.30686/1609-9192-2022-3-99-102.
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Description of the main theme. Before the Republic of Tyva, the modern conditions of development have put forward the challenges of intensifying the development of natural resources to improve living standards and reduce unemployment. Since coal is the main wealth of the interior of Tyva, it is necessary to find ways to involve this resource in economic circulation. Object problems. At present, a coal-mining territory is being formed in Tyva and the volume of coal production is growing dynamically. There are high risks. Purpose of the study. Analysis and systematization of the challenges and risks of a large-scale increase in coal production in Tyva. Basic methods of analysis. Methods of systemic, economic and statistical analysis, classification were used. The research was based on statistical and analytical data for Russia and the Republic of Tuva and internet resources. Research results. The scientific novelty of the study consists of the analysis of the development of coal mining in the regions of the Russian Federation, systematization of risks arising in the formation of coal-industrial territory in Tyva. Natural, anthropogenic, technogenic and socio-economic risks are identified, differing in the source of their occurrence. Ecological risks from anthropogenic and technogenic risks are highlighted. The ways of reducing the possible environmental load are substantiated. Conclusions. Based on the results of the study, it was concluded that in order to reduce the lag in the parameters of socio-economic processes in Tyva, one of the effective ways is the formation of a coal mining area. This implies the creation of an energy-chemical complex for coal processing and the production of a wide range of coal chemistry products, an increase in coal export volumes after the construction of the railway. To eliminate the high risks of this strategic direction of regional development, it is proposed to implement a number of innovative sustainable technology, systematic monitoring of the state of coal mining territories.