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Liu J, Li D, Chen X, Wang L, Wang S. Comparative analysis of permeability model construction and risk fields evaluation by roof cutting along the gob in a coal mine. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:7073-7091. [PMID: 38157177 DOI: 10.1007/s11356-023-31651-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 12/17/2023] [Indexed: 01/03/2024]
Abstract
The productivity of coal mines is seriously threatened by the combined disasters of gas and coal spontaneous combustion, which have become a common disaster mode. It is unclear how the gas and coal spontaneously combusted in the roof cutting along gob working face. The goal of this study is to identify the distinctive features of combined disasters in gob from two different types of roof cutting along working faces. In these two different types of roof cutting along gob working faces, the paper constructs the permeability model of the gob. The findings demonstrate that the data from the field experiment and the simulation results agree, which validates the simulation's reliability. In contrast to single sided roof cutting along gob working faces, double sided roof cutting along gob working faces clearly has a thinner oxidation zone. Moreover, the oxidation zone of the double side roof cutting along gob working faces is closer to the working face, which is located in the shallow area of the gob 50 m behind the working face. The gas explosion area and the coal spontaneous combustion area are divided by the double side roof cutting along gob working face, which reduces the risk of compound disasters. Important theoretical direction for the prevention and control of gob disasters in the roof cutting along gob working face is provided by the simulation results.
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Affiliation(s)
- Jinzhao Liu
- School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
| | - Dongyin Li
- School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, 454003, China
- State Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Jiaozuo, 454003, China
| | - Xiangjun Chen
- State Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Jiaozuo, 454003, China
- College of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo, 454003, China
| | - Lin Wang
- State Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Jiaozuo, 454003, China
- College of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo, 454003, China
| | - Shen Wang
- School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, 454003, China
- State Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Jiaozuo, 454003, China
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2
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Pan R, Hu D, Chao J, Han X, Jia H, Li C. Oxidation and exothermic properties of long flame coal spontaneous combustion under solid-liquid-gas coexistence and its microscopic mechanism analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 895:165206. [PMID: 37391137 DOI: 10.1016/j.scitotenv.2023.165206] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 06/26/2023] [Accepted: 06/27/2023] [Indexed: 07/02/2023]
Abstract
Coal spontaneous combustion (CSC) wastes valuable resources and does great damage to the environment. To study the oxidation and exothermic properties of CSC under solid-liquid-gas coexistence conditions, a C600 microcalorimeter was used to analyze the heat released by the oxidation of raw coal (RC) and water immersion coal (WIC) under different air leakage (AL) conditions. The experimental results showed that the AL was negatively correlated with the heat release intensity (HRI) in the initial stages of coal oxidation, but as the oxidation proceeded, the AL and the HRI gradually showed positive correlations. The HRI of the WIC was lower than that of the RC under the same AL conditions. However, since water participated in the generation and transfer of free radicals in the coal oxidation reaction and promoted the development of coal pores, the HRI growth rate of the WIC was higher than that of the RC during the rapid oxidation period, and the self-heating risk was higher. The heat flow curves for the RC and WIC in the rapid oxidation exothermic stage could be fitted with quadratic functions. The experimental results provide an important theoretical basis for the prevention of CSC.
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Affiliation(s)
- Rongkun Pan
- School of Safety Science & Engineering, Henan Polytechnic University, Jiaozuo 454003, China; Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Henan Polytechnic University, Jiaozuo 454003, China; Henan key laboratory of prevention and cure of mine methane & fires, Jiaozuo 454003, China.
| | - Daimin Hu
- School of Safety Science & Engineering, Henan Polytechnic University, Jiaozuo 454003, China
| | - Jiangkun Chao
- School of Safety Science & Engineering, Henan Polytechnic University, Jiaozuo 454003, China
| | - Xuefeng Han
- School of Safety Science & Engineering, Henan Polytechnic University, Jiaozuo 454003, China
| | - Hailin Jia
- School of Safety Science & Engineering, Henan Polytechnic University, Jiaozuo 454003, China; Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Henan Polytechnic University, Jiaozuo 454003, China; Henan key laboratory of prevention and cure of mine methane & fires, Jiaozuo 454003, China
| | - Cong Li
- School of Safety Science & Engineering, Henan Polytechnic University, Jiaozuo 454003, China
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3
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Xie J, Chen D, Du H, Wang Y, Sun X, Bian Z. Research on gas hazard prevention and control of a high-gas fully mechanized mining face based on ventilation system optimization. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:101709-101724. [PMID: 37656298 DOI: 10.1007/s11356-023-29515-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 08/22/2023] [Indexed: 09/02/2023]
Abstract
The gas accumulation in the return corner of a high-gas fully mechanized mining face can easily cause the gas volume fraction to exceed the safety limit, threatening the safety of coal mines. In this study, the unit method was used to analyze the gas sources and emissions based on the actual case. The airflow and gas distribution characteristics of the two-inlet-one-outlet (TIOO) ventilation system and the one-inlet-two-outlet (OITO) ventilation system were studied using CFD numerical simulation. The results show that under the TIOO ventilation system, the "U"-type air leakage in the goaf leads deep gas into the return corner, which causes the gas volume fraction in the return corner to rise to 0.4-2.0%. After the mining face is optimized into the OITO ventilation system, the "J"-type air leakage of the goaf suppresses the high concentration of gas in the deep position of the goaf. Combined with the gas extraction measures, the gas volume fraction in the return corner, exhaust roadway's outlet, and retaining roadway's outlet is controlled at 0.28%, 0.34%, and 0.23%. This study will provide new ideas for solving the problem of gas accumulation in the return corner of a high-gas fully mechanized mining face.
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Affiliation(s)
- Jun Xie
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Dawei Chen
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
| | - Haigang Du
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
- Department of Mining Engineering, Liupanshui Normal University, Liupanshui, 553004, China
| | - Yi Wang
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Xiangke Sun
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Zhaoqing Bian
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
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4
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Wang D, Liu J, Lijun D, Honglin W. A supervised diagnostic experiment of resistance variable multifault locations in a mine ventilation system. Sci Rep 2023; 13:5259. [PMID: 37002333 PMCID: PMC10066344 DOI: 10.1038/s41598-023-32530-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 03/29/2023] [Indexed: 04/03/2023] Open
Abstract
The diagnosis of resistance variable multifault location (RVMFL) in a mine ventilation system is an essential function of the mine intelligent ventilation system, which is of great significance to mine-safe production. In this paper, a supervised machine learning model based on a decision tree (DT), multilayer perceptron (MLP), and ranking support vector machine (Rank-SVM) is proposed for RVMFL diagnosis in a mine ventilation system. The feasibility of the method and the predictive performance and generalization ability of the model were verified using a tenfold cross-validation of a multifault sample set of a 10-branch T-shaped angle-joint ventilation network and a 54-branch experimental ventilation network. The reliability of the model was further verified by diagnosing the RVMFL of the experimental ventilation system. The results show that the three models, DT, MLP, and Rank-SVM, can be used for the diagnosis of RVMFL in mine ventilation systems, and the prediction performance and generalization ability of the MLP and DT models perform better than the Rank-SVM model. In the diagnosis of multifault locations of the experimental ventilation system, the diagnostic accuracy of the MLP model reached 100% and that of the DT model was 44.44%. The results confirm the MLP model outperforms the three models and can meet engineering needs.
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Affiliation(s)
- Dong Wang
- College of Safety Science and Engineering, Liaoning Technical University, Huludao, 125105, Liaoning, China
- Key Laboratory of Mine Thermo-Motive Disaster and Prevention, Ministry of Education, Huludao, 125105, Liaoning, China
| | - Jian Liu
- College of Safety Science and Engineering, Liaoning Technical University, Huludao, 125105, Liaoning, China.
- Key Laboratory of Mine Thermo-Motive Disaster and Prevention, Ministry of Education, Huludao, 125105, Liaoning, China.
| | - Deng Lijun
- College of Safety Science and Engineering, Liaoning Technical University, Huludao, 125105, Liaoning, China
- Key Laboratory of Mine Thermo-Motive Disaster and Prevention, Ministry of Education, Huludao, 125105, Liaoning, China
| | - Wang Honglin
- College of Safety Science and Engineering, Liaoning Technical University, Huludao, 125105, Liaoning, China
- Key Laboratory of Mine Thermo-Motive Disaster and Prevention, Ministry of Education, Huludao, 125105, Liaoning, China
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5
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Zou J, Zhang R, Zhou F, Zhang X. Hazardous Area Reconstruction and Law Analysis of Coal Spontaneous Combustion and Gas Coupling Disasters in Goaf Based on DEM-CFD. ACS OMEGA 2023; 8:2685-2697. [PMID: 36687050 PMCID: PMC9850464 DOI: 10.1021/acsomega.2c07236] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 12/20/2022] [Indexed: 05/09/2023]
Abstract
Coal spontaneous combustion and gas coupling disasters are the highest percentage of serious accidents in coal mines, causing the most serious disasters. China is one of the countries with the most serious coal spontaneous combustion and gas coupling disasters in goaf, and it is of great significance to explore the evolution law of coal spontaneous combustion and gas coupling disasters in goaf for disaster prevention and control. To study the three-dimensional spatial characteristics of the hazardous area of the coupling coal spontaneous combustion and gas disaster in goaf, a discrete element method-computational fluid dynamics (DEM-CFD)-based hazardous area reconstruction method was proposed. Taking a fully mechanized caving face of a coal mine in Shandong, China, as an example, first, the working face mining model was established by PFC3D, and the porosity of different horizontal and vertical positions of goaf after mining was extracted. Second, the porosity extracted was imported into computational fluid simulation software FLUENT by UDF. Finally, the distribution laws of oxygen and gas concentration during the real goaf mining process were simulated and analyzed. The results showed that the oxygen concentration in the intake roadway at a depth of 50.7 m in goaf decreased to 12%, and the gas concentration at a depth of 42.0 m in goaf increased to 16%. The oxygen concentration in the return airway roadway was reduced to 12% at 17.3 m depth in goaf, and the gas concentration increased to 16% at 6 m in the direction of goaf. The gas concentration was higher at the return air corner. The three-dimensional shapes of the hazardous area in goaf were constructed to satisfy the coupling of O2 concentration field, CH4 explosion limit concentration field, and fracture field and so were the laws of hazardous area analyzed qualitatively and quantitatively. It has important research significance for the rapid identification and determination of the coal spontaneous combustion and gas coupling disasters hazardous area.
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Affiliation(s)
- Jiaxing Zou
- College
of Environment and Resources, Xiangtan University, Xiangtan411105, China
| | - Rui Zhang
- China
Coal Technology and Engineering Group, Chongqing
Research Institute, Chongqing400037, China
| | - Fengyuan Zhou
- College
of Environment and Resources, Xiangtan University, Xiangtan411105, China
| | - Xiaoqiang Zhang
- College
of Environment and Resources, Xiangtan University, Xiangtan411105, China
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6
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Chen X, Dong X, Wang L, Huang Z, Cui P. Gas Emergence Characteristics of the Upper Corner on the 215101 Mining Working Face of the Yue Nan Coal Mine. ACS OMEGA 2022; 7:25663-25674. [PMID: 35910142 PMCID: PMC9330210 DOI: 10.1021/acsomega.2c02898] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 07/04/2022] [Indexed: 06/15/2023]
Abstract
To prevent the gas over limit in the upper corner of the 215101 working face of the Yue Nan coal mine, a numerical simulation method was used to analyze the gas concentration in the upper corner of the working face at different air intake volumes and mining velocities. The research results show that the gas concentration in the upper corner is 0.78, 0.52, 0.39, and 0.32% when the wind speed of the intake airflow roadway is 1, 1.5, 2, and 2.5 m/s, respectively, and an optimal wind speed of the intake airflow roadway is selected as 2 m/s. When the wind speed of the intake airflow roadway is 2 m/s, the working face mining velocity is 1, 2, 3, and 4 m/d, and the gas concentration in the upper corner is 0.27, 0.39, 0.58, and 0.83%, respectively, and an optimal working face mining velocity of 3 m/d is selected. Under the optimal mining conditions, the working face wind leakage area is divided, with 0∼30 m of the working face as the main leakage area and 150-180 m as the wind flow compensation area. According to the wind speed in the gob, the wind flow disturbance area is divided, the gob 0-50 m is the wind flow intense disturbance area, which is the main area of the upper corner gas source; the gob 50-62 m is the wind flow medium disturbance area, which is the secondary area of the upper corner gas source; the gob 62-75 m is the slight disturbance area, which has less influence on the upper corner gas concentration; the gob after 75 m is the wind flow undisturbed area, and the upper corner gas concentration is almost unaffected by it.
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Affiliation(s)
- Xiangjun Chen
- State
Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency
Utilization, Henan Polytechnic University, Jiaozuo 454003, China
- College
of Safety Science and Engineering, Henan
Polytechnic University, Jiaozuo 454003, China
| | - Xiaozhen Dong
- College
of Safety Science and Engineering, Henan
Polytechnic University, Jiaozuo 454003, China
| | - Lin Wang
- State
Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency
Utilization, Henan Polytechnic University, Jiaozuo 454003, China
- College
of Safety Science and Engineering, Henan
Polytechnic University, Jiaozuo 454003, China
| | - Zhen Huang
- College
of Safety Science and Engineering, Henan
Polytechnic University, Jiaozuo 454003, China
| | - Pengfei Cui
- College
of Safety Science and Engineering, Henan
Polytechnic University, Jiaozuo 454003, China
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7
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Mining Technologies Innovative Development: Industrial, Environmental and Economic Perspectives. ENERGIES 2022. [DOI: 10.3390/en15051756] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This Special Issue of Energies contains the successful invited submissions [...]
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8
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Mining Technologies Innovative Development: Economic and Sustainable Outlook. ENERGIES 2021. [DOI: 10.3390/en14248590] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Today science faces the task of ensuring the innovative development of the mineral extractive sector of the economy in resource-rich countries, in the context of unfolding two opposite trends [...]
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9
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Li C, Zhang H, Hao M, Sun X. Failure Mechanism of Gas-Bearing Coal during Outburst and a New Method for Outburst Prediction. ACS OMEGA 2021; 6:31253-31259. [PMID: 34841169 PMCID: PMC8613851 DOI: 10.1021/acsomega.1c05003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
Coal and gas outbursts are among the most serious disasters affecting the safety of coal mines. Gas is an important factor in these types of disasters. To analyze the characteristics of the damage caused by gas to the coal body during the sudden release of the gas process, a self-developed high-pressure gas release cause coal particle ejection experiment device was used to conduct gas release experiments under different conditions. The results show that at the moment of gas release, coal particles and gas are ejected at high speed, crushing coal particles into smaller particles. With the increase in gas pressure and gas adsorption performance, the crushing effect will increase. Also, the coal ejection strength (CES) will increase nonlinearly. By analyzing the mass ratio of ejected coal particles, based on the theory of crushing work and energy, we developed a new coal particle fragmentation index, which can be fitted linearly to CES. The index is based on the f value, which makes up for the limitations of the forecasting method, and can be used more flexibly to predict the coal sample crushing situation. Moreover, the fitting parameter values can more accurately describe the coal particle crushing grade.
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Affiliation(s)
- Chengwu Li
- College
of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, P.R. China
| | - Heng Zhang
- College
of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, P.R. China
- China
Academy of Safety Science and Technology, Beijing 100020, P.R. China
| | - Min Hao
- College
of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, P.R. China
| | - Xiaoqi Sun
- College
of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, P.R. China
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10
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Abstract
This paper presents the results of a study conducted to determine the dynamic power of a hydraulic leg. The hydraulic leg is the basic element that maintains the position of a powered roof support. It is located in the structure between the canopy and the floor base. The analysis assumes that its power must be greater than the energy of the impact of the rock mass. The energy of the rock mass is generated by tremors caused mainly by mining exploitation. The mining and geological structure of the rocks surrounding the longwall complex also have an influence on this energy generation. For this purpose, stationary tests of the powered roof support were carried out. The analysis refers to the space under the piston of the leg, which is filled with fluid at a given pressure. The bench test involved spreading the leg in the test station under a specified pressure. It was assumed that the acquisition of dynamic power would be at the point of pressure and increase in the space under the piston of the leg under forced loading. Based on the experimental studies carried out, an assessment was made with the assumptions of the methodology adopted. The results of the theoretical analysis showed consistency with the experimental results.
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11
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Chen X, Jia Q, Li X, Feng S, Wang L, Li L. Characteristics of Airflow Migration in Goafs under the Roof-Cutting and Pressure-Releasing Mode and the Traditional Longwall Mining Mode. ACS OMEGA 2021; 6:22982-22996. [PMID: 34514268 PMCID: PMC8427781 DOI: 10.1021/acsomega.1c03711] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 08/16/2021] [Indexed: 06/13/2023]
Abstract
The airflow exchange between a mining face and a coal mine goaf can cause gas transfinite and spontaneous coal combustion disasters, threatening coal mining. Studying the characteristics of airflow movement in a goaf forms the basis to prevent airflow exchange for coal mining safety. Different from the traditional longwall mining mode, the roof-cutting and pressure-releasing mining mode shows new roof collapse characteristics and a ventilation system, which lead to obvious changes in the characteristics of airflow movements in coal mine goafs. To study the differences in airflow movement characteristics and the airflow disturbance influence area in a coal mine goaf between these two mining modes, the airflow movements in different goafs are compared using a numerical simulation method based on the measured parameters of the 1201 mining face in the Halagou Coal Mine, China. The results show that the airflow disturbance area in the goaf under the traditional longwall mining mode is a "η" type. Along the inclination direction of the mining face, two main exchange areas for the airflow are located in the 0-5 and 15-45 m sections, respectively. The airflow disturbance area in the goaf under the roof-cutting and pressure-releasing mining mode is a "hump" type, and there are six main exchange areas in the goaf under the roof-cutting and pressure-releasing mining mode. Along the inclination direction of the mining face, three exchange areas are located in the 0-25, 255-305, and 305-320 m sections, respectively. Along the strike direction, three exchange areas are located in the 5-25, 25-35, and 35-65 m sections, respectively. Based on the research results, sealing measures are taken to slow and eliminate airflow exchange in the goaf under the roof-cutting and pressure-releasing mining mode, and this provides theoretical guidance for safe coal mining.
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Affiliation(s)
- Xiangjun Chen
- State
Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo 454003, China
- State
Collaborative Innovation Center of Coal Work Safety and Clean-efficiency
Utilization, Henan Polytechnic University, Jiaozuo 454003, China
| | - Qi Jia
- State
Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo 454003, China
| | - Xinjian Li
- State
Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo 454003, China
- State
Key Laboratory of Gas Disaster Monitoring and Emergency Technology, Chongqing 400037, China
- China
Coal Science and Industry Group Chongqing Research Institute Co.,
Ltd, Chongqing 400037, China
| | - Shuailong Feng
- State
Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo 454003, China
| | - Lin Wang
- State
Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo 454003, China
- State
Collaborative Innovation Center of Coal Work Safety and Clean-efficiency
Utilization, Henan Polytechnic University, Jiaozuo 454003, China
| | - Lin Li
- State
Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo 454003, China
- State
Collaborative Innovation Center of Coal Work Safety and Clean-efficiency
Utilization, Henan Polytechnic University, Jiaozuo 454003, China
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12
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Intelligent Backpropagation Networks with Bayesian Regularization for Mathematical Models of Environmental Economic Systems. SUSTAINABILITY 2021. [DOI: 10.3390/su13179537] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The research community of environmental economics has had a growing interest for the exploration of artificial intelligence (AI)-based systems to provide enriched efficiencies and strengthened human knacks in daily live maneuvers, business stratagems, and society evolution. In this investigation, AI-based intelligent backpropagation networks of Bayesian regularization (IBNs-BR) were exploited for the numerical treatment of mathematical models representing environmental economic systems (EESs). The governing relations of EESs were presented in the form of differential models representing their fundamental compartments or indicators for economic and environmental parameters. The reference datasets of EESs were assembled using the Adams numerical solver for different EES scenarios and were used as targets of IBNs-BR to find the approximate solutions. Comparative studies based on convergence curves on the mean square error (MSE) and absolute deviation from the reference results were used to verify the correctness of IBNs-BR for solving EESs, i.e., MSE of around 10−9 to 10−10 and absolute error close to 10−5 to 10−7. The endorsement of results was further validated through performance evaluation by means of error histogram analysis, the regression index, and the mean squared deviation-based figure of merit for each EES scenario.
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13
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Wireless Leak Detection System as a Way to Reduce Electricity Consumption in Ventilation Ducts. ENERGIES 2021. [DOI: 10.3390/en14133774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This article presents a proposal for a wireless diagnostic system for checking the air tightness of the ventilation network. The solution is designed to increase crew safety in underground mining plants and increase the energy efficiency of the ventube ventilation system. The system is based on sensors measuring the pressure inside the ventilation duct in relation to the barometric pressure in the immediate vicinity of the duct. The flow of diagnostic data is based on a cascade transfer. The data from the first sensor are transferred successively to the last one. Based on the prior calibration of alarm thresholds in each device, the leakage or factor influencing the increase of air flow resistance is located. The article presents the genesis of the creation and discusses the principle and purpose of the system. In the following chapters, the progress of work related to testing the system in laboratory, industrial, and underground conditions at the Velenje Premogovnik mine (Slovenia) is presented. The authors analyze the test results and indicate the directions of possible further work on improving the system. The proposed leak detection system is based on a network of pressure sensors that communicate with each other to clearly pinpoint the leak location. The system has been designed for operation in underground mining plants with limited space.
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14
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Application of UAV in Search and Rescue Actions in Underground Mine—A Specific Sound Detection in Noisy Acoustic Signal. ENERGIES 2021. [DOI: 10.3390/en14133725] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The possibility of the application of an unmanned aerial vehicle (UAV) in search and rescue activities in a deep underground mine has been investigated. In the presented case study, a UAV is searching for a lost or injured human who is able to call for help but is not able to move or use any communication device. A UAV capturing acoustic data while flying through underground corridors is used. The acoustic signal is very noisy since during the flight the UAV contributes high-energetic emission. The main goal of the paper is to present an automatic signal processing procedure for detection of a specific sound (supposed to contain voice activity) in presence of heavy, time-varying noise from UAV. The proposed acoustic signal processing technique is based on time-frequency representation and Euclidean distance measurement between reference spectrum (UAV noise only) and captured data. As both the UAV and “injured” person were equipped with synchronized microphones during the experiment, validation has been performed. Two experiments carried out in lab conditions, as well as one in an underground mine, provided very satisfactory results.
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15
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A Technology of Hydrocarbon Fluid Production Intensification by Productive Stratum Drainage Zone Reaming. ENERGIES 2021. [DOI: 10.3390/en14123514] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The paper proposes a new technology for fluid production intensification, in particular hydrocarbons, which is implemented via significant increasing of the local wellbore diameter in the interval, where the productive stratum is present. The proposed technology improves the well productivity by increasing the filtration surface area and opening new channels for filtering fluids into the well. The innovative, technical idea is to drill large diameter circular recesses in planes perpendicular to the well axis. After that, the rock mass located between the circular recesses are destroyed by applying static or dynamic axial loads. The required value of the axial force is provided by the weight of the standard drilling tool. As a result of the study, the analytical relations to specify the admissible radius of circular recesses and admissible thickness of rock mass between two adjacent circular recesses from the condition of safe operation are obtained. The numerical analysis carried out for typical reservoir rocks substantiated the possibility of well diameter local reaming twenty times. A special tool for circular recess drilling is developed and the principle of its operation is described. The advantage of the proposed approaches is the low energy consumption for well diameter reaming. Our technology will have special economic expediency for the intensification of production from hydrodynamically imperfect wells and under the condition of fluid filtration according to the expressed nonlinear law.
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Thermal Imaging Study to Determine the Operational Condition of a Conveyor Belt Drive System Structure. ENERGIES 2021. [DOI: 10.3390/en14113258] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The paper discusses the results of a study carried out to determine the thermal condition of a conveyor power unit using a thermal imaging camera. The tests covered conveyors in the main haulage system carrying coal from a longwall. The measurements were taken with a thermal imaging diagnostic method which measures infrared radiation emitted by an object. This technology provides a means of assessing the imminence and severity of a possible failure or damage. The method is a non-contact measuring technique and offers great advantages in an underground mine. The thermograms were analysed by comparing the temperature distribution. An analysis of the operating time of the conveyors was also carried out and the causes of the thermal condition were determined. The main purpose of the research was to detect changes in thermal state during the operation of a belt conveyor that could indicate failure and permit early maintenance and eliminate the chance of a fire. The article also discusses the construction and principle of operation of a thermal imaging camera. The findings obtained from the research analysis on determining the thermal condition of the conveyor drive unit are a valuable source of information for the mine’s maintenance service.
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Zhou H, Mu C. Influence of Cavity Width and Powder Filling in a Cavity on Overpressure Evolution Laws and Flame Propagation Characteristics of Methane/Air Explosion. ACS OMEGA 2021; 6:10072-10084. [PMID: 34056162 PMCID: PMC8153671 DOI: 10.1021/acsomega.1c00054] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 03/24/2021] [Indexed: 05/08/2023]
Abstract
Passive explosion suppression remains an indispensable auxiliary method for gas explosion suppression due to its low cost. To explore a new type of explosion passive suppression technology, three rectangular cavities with different width-diameter ratios were designed and laid in a large-scale methane/air explosion experiment system, and its explosion suppression performance was evaluated by measuring the changes in the explosion flame and shock wave before and after passing through the cavity. The results show that the suppression effect of the cavity is affected by its width. The larger the width-diameter ratio, the faster the attenuation of the flame and shock wave. The cavity-combined aluminum hydroxide powder effectively improves the suppression effect. When the filling amount of the powder is 140 g, the flame is quenched. However, there is an optimal powder filling degree for the suppression of the shock wave in the limited space of the cavity. In the test range, the maximum decay rate of the overpressure and impulse are 49.4 and 39.4%, respectively. This study can provide theoretical guidelines for the suppression of gas explosion.
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Affiliation(s)
- Hui Zhou
- School
of Mining and Safety Engineering, Anhui
University of Science & Technology, Huainan, Anhui 232001, China
- Key
Lab of Mining Coal Safety and Efficiently Constructed by Anhui Province
and Ministry of Education, Anhui University
of Science & Technology, Huainan, Anhui 232001, China
| | - Chaomin Mu
- School
of Mining and Safety Engineering, Anhui
University of Science & Technology, Huainan, Anhui 232001, China
- Key
Lab of Mining Coal Safety and Efficiently Constructed by Anhui Province
and Ministry of Education, Anhui University
of Science & Technology, Huainan, Anhui 232001, China
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Chen X, Feng S, Wang L, Jia Q. Distribution and Prevention of CO in a Goaf of a Working Face with Y-Type Ventilation. ACS OMEGA 2021; 6:1787-1796. [PMID: 33521420 PMCID: PMC7841794 DOI: 10.1021/acsomega.0c02853] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 12/23/2020] [Indexed: 06/12/2023]
Abstract
In recent years, the mining technology of ″roof cutting and pressure releasing″ has appeared in China. It is called China's third mining revolution. The technology of ″roof cutting and pressure releasing″ has changed the traditional working face ventilation system and the boundary conditions of a goaf. The law of air leakage in the goaf has changed, resulting in changes in the distributions of CO and other disaster gases. In order to ensure the promotion of this advanced mining technology safely, research on the distributions of CO and other disaster gases is very necessary. By installing CO sensors in the air intake lanes, gob-side entry retaining, and goaf, the distribution of CO in the goaf during the advancement of the working face under the ″roof cutting and pressure releasing″ mining method is studied. The concentration of CO in the upper corners of the working face under the traditional mining method and the ″roof cutting and pressure releasing″ mining method was compared and analyzed. The results show that the CO in the experimental working face mainly comes from the oxidation of the residual coal; after analysis, the CO concentration in the goaf is divided into three areas: the slowly increasing area, sharply increasing area, and attenuation area; the CO concentration in the upper corner of the working face of Y-shaped ventilation with ″roof cutting and pressure releasing″ mining is much lower than that in the upper corner of the working face of U-shaped ventilation in the traditional mining; In order to prevent the oxidation and heating of the residual coal in the goaf to produce CO, comprehensive prevention measures for CO escape in the goaf have been adopted. After actual production verification, the prevention and control measures show good effects to ensure the safe and effective production of the working face.
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Affiliation(s)
- Xiangjun Chen
- State
Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo 454003, China
- State
Collaborative Innovation Center of Coal Work Safety and Clean-efficiency
Utilization, Henan Polytechnic University, Jiaozuo 454003, China
| | - Shuailong Feng
- State
Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo 454003, China
| | - Lin Wang
- State
Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo 454003, China
| | - Qi Jia
- State
Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo 454003, China
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