Underground Mining Project Equipment Selection Model

Underground Mining Project Equipment Selection Model

  IJCTT-book-cover
 		 International Journal of Computer Trends and Technology (IJCTT)          
 
© 2017 by IJCTT Journal
Volume-44 Number-1
Year of Publication : 2017
Authors : B. K. Samanta
DOI :  10.14445/22312803/IJCTT-V44P110

MLA

B. K. Samanta  "Underground Mining Project Equipment Selection Model". International Journal of Computer Trends and Technology (IJCTT) V44(1):50-57, February 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
With global total coal production of 6.2Bt, the share of China, USA & India is about 51%, 15% and 9% (8.7%), respectively. Due to new capacity additions, coal consumption in the country remains higher than production, with a structural deficit of 187 million tonnes. With just 10 per cent share of coal production from UG mines in India, there is a need for a quantum jump in production and productivity from such mines as there are more opportunities in productivity improvement and cost benefits in underground mining. This is more relevant considering the likely exhaustion of shallow depth coal reserves and hurdles in surface land acquisition in future. The author with collection of database from one of the largest coal company of India has developed the model with all linked variables. Underground Face Mechanization Cost Benefit Model ‘eqp’ helps mechanization by choice of method and equipment. Study of coal measure rock properties like CS (Compressive Strength), TS (Tensile Strength), SS (Shear Strength), RQD (Rock Quality Designation), ME (Modulus of Elasticity), RSR (Rock Structure Rating), CI (Cavability Index) were made. Operational cost for machinery set like SDL/LHD/CM/LWPS were collected and input of data COLLIERY, COE (Cost of Equipment), POC (Production of Coal/y), DIT (Depreciation and Interest), PMT (Power & Maintenance), SC (Store Cost), WC (Wage Cost), OC (Other Cost), to determine PC (Production Cost), CP (Cost per tonne), and then CB (Cost Benefit in Rs./t) was computed with model program run of ‘eqp’ with (eqp.dat) file. Then, with analysis of results selection and scheduling of coal face equipment were done.

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Keywords
COE (Cost of Equipment; POC (Production of Coal/y;DIT (Depreciation and Interest); PMT (Power & Maintenance);RQD (Rock Quality Designation); ME (Modulus of Elasticity); RSR (Rock Structure Rating); CI (Cavability Index.