Predicting the coal production rate of shearer device based on the gas properties and coal Strength in Tabas No. 1 Parvade coal mine

نوع مقاله : مقاله پژوهشی

نویسندگان

1 Dept. of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood .Iran

2 Dept. of Mining and Metallurgy Engineering, Yazd University, Yazd, Iran

چکیده

To increase production in coal mining panels along with the use of other equipment, the use of coal machines (shearers) is very beneficial. Predicting the shearer rate and determining the effective parameters in it plays an essential role in estimating costs. Full knowledge of the Strength and properties of coal gas and evaluation of the performance of shearer loader devices causes an increase in the speed of the loader and coal-rock production. Therefore, to achieve high production efficiency in the extraction of coal seams, it is necessary to predict the shearer rate and determine the effective parameters in it. In this paper, the shear rate prediction in relation to the Strength and gas bitumen properties of coal is investigated with the help of statistical analysis.
For this purpose, 1260 types of coal cutting were done by coal machine (shearer) in E3 Tabas extraction panel No. 1 of Parvadeh coal mine. In the first stage, after harvesting and recording the shearer rate of each cut, information about degassing was done at three points along the entire length of the panel. These three points include the percentage of methane gases emitted in sensor number 88 and the input sensor (TG) and the sensor installed on the armored face conveyor (AFC). Then, using the strength properties such as coal hardness and methane degassing system, the shearer rate prediction was investigated. Using statistical studies, Shearer rate prediction was performed with three models of linear and nonlinear multivariate regression (exponential and logarithmic). To develop the predicted models, 70% of the data (882 data) were used as educational data and 30% of the data (378 data) as test data. Among the three regression models performed, the results show that the linear multivariate regression model has a more accurate prediction than the other two methods. Therefore, using the linear multivariate regression model, the amount of shearer rate in the coal mine number one of parvadeh Tabas can be predicted with good accuracy.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Predicting the coal production rate of shearer device based on the gas properties and coal Strength in Tabas No. 1 Parvade coal mine

نویسندگان [English]

  • mehdi eslamzadeh 1
  • mohammad Ataei 1
  • Farhang Sereshki 1
  • Mehdi Najafi 2
1 Dept. of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood .Iran
2 Dept. of Mining and Metallurgy Engineering, Yazd University, Yazd, Iran
چکیده [English]

To increase production in coal mining panels along with the use of other equipment, the use of coal machines (shearers) is very beneficial. Predicting the shearer rate and determining the effective parameters in it plays an essential role in estimating costs. Full knowledge of the Strength and properties of coal gas and evaluation of the performance of shearer loader devices causes an increase in the speed of the loader and coal-rock production. Therefore, to achieve high production efficiency in the extraction of coal seams, it is necessary to predict the shearer rate and determine the effective parameters in it. In this paper, the shear rate prediction in relation to the Strength and gas bitumen properties of coal is investigated with the help of statistical analysis.
For this purpose, 1260 types of coal cutting were done by coal machine (shearer) in E3 Tabas extraction panel No. 1 of Parvadeh coal mine. In the first stage, after harvesting and recording the shearer rate of each cut, information about degassing was done at three points along the entire length of the panel. These three points include the percentage of methane gases emitted in sensor number 88 and the input sensor (TG) and the sensor installed on the armored face conveyor (AFC). Then, using the strength properties such as coal hardness and methane degassing system, the shearer rate prediction was investigated. Using statistical studies, Shearer rate prediction was performed with three models of linear and nonlinear multivariate regression (exponential and logarithmic). To develop the predicted models, 70% of the data (882 data) were used as educational data and 30% of the data (378 data) as test data. Among the three regression models performed, the results show that the linear multivariate regression model has a more accurate prediction than the other two methods. Therefore, using the linear multivariate regression model, the amount of shearer rate in the coal mine number one of parvadeh Tabas can be predicted with good accuracy.

کلیدواژه‌ها [English]

  • Prediction
  • Shearer rate
  • Statistical analysis
  • Regression
  • Tabas No. 1
  • Parvadeh coal mine

مراجع

[1]                Liu CZ, Qin DT, Liao YH Dynamic analysis for the cutting electromechanical transmission system in the long-wall shearer. J Mech Eng (2016) 52 (7):14–22.
[2]                Qin DT, Wang Z, Hu MH et al. Dynamic matching of optimal drum movement parameters of shearer based on multiobjective optimization. J China Coal Soc (2015) 40(2):532–539.
[3]                Report of Technical Office of Mine no one Mechanized Parvadeh Tabas", 1397.
[4]                Shu RZ, Liu ZJ, Liu CZ et al. Load sharing characteristic analysis of the short driving system in the long-wall; shearer. J Vibroeng (2015) 17(7):3572–3585.
[5]                Ge SS, Qin DT, Hu MH Research on drum shearer speed control strategies under impact conditions. J China Coal Soc (2015) 40(11):2569–2578.
[6]                Ma ZL Modelling and simulation on shearer self-adaptive memory cutting. Procedia Eng (2012) 37(4):37–41.
[7]                Sahoo R, Mazid AM Application of Opto-tactile sensor in shearer machine design to recognize rock surfaces in underground coal mining. In: IEEE international conference on industrial technology Victoria, (2009) pp 1–6
[8]                Ma ZL Study on key technology of shearer with variable speed cutting. Ph.D. Dissertation, China University of Mining and Technology (2009).
[9]                Liu SY Research on cutting performance of shearer drum and cutting system dynamics. Ph.D. Dissertation, China University of Mining and Technology (2009).
[10]            Liu SY, Du CL, Cui XX. Model test of the cutting properties of a shearer drum. Mining Sci Technol 2009; 19(1):74–8
[11]            Z.-P. Xu and Z.-B. Wang, “Characteristic analysis of shearer cutting load based on particle filter,” Journal of the China Coal Society, (2011) vol. 36, no. 4, pp. 696–700.
[12]            Fang XQ, Zhao JJ, Hu Y, Tests and error analysis of a self- positioning shearer operating at a manless working face, Min. Sci. Techno. (2010) 20 (1):53–58.
[13]            Liu CS, Yu XW, Ren CY The drum shearer working bodies. Harbin Engineering University Press, Harbin (2010).

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سابقه مقاله

  • تاریخ دریافت: 12 شهریور 1400
  • تاریخ بازنگری: 16 آذر 1400
  • تاریخ پذیرش: 06 دی 1400

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