Authors: A.V. Semenkin, V.A. Antonov

Title of the article: A study and comparative analysis of technological indicators of automobile and conveyor transport in deep pits

Year: 2019, Issue: 3, Pages: 27-32

Branch of knowledge: 05.05.06 Mining machines

Index UDK: 621.72

DOI: 10.26730/1816-4528-2019-3-27-32

Abstract: The article is devoted to the substantiation of the choice of the most effective cyclic-flow technology of transportation of rock mass in deep pits in comparison with the excavator-automobile complex. The selection is carried out according to the criteria of comparison of the corresponding technological and operational indicators of these complexes. Within these criteria, the relationship of the specific metal consumption, specific power consumption, assignments for air pollutions accept less than unit, and the ratio of labor productivity is greater than unit. These criteria are considered as important additions to the known restrictions of the choice of cyclic-flow technology, earlier established authors on an economic indicator of expenses. During the research experimental discrete estimates of the called indicators are carried out and results of the subsequent modeling of their communications with the key operational parameters of transport complexes are given. The main parameters that affect the indicators taken into consideration the annual capacity of the transport complex and a rise height of rock mass. In experimental estimates the following number of annual production rate is accepted: 5, 10, 20, 30 million tons/year. Height of rise of rock mass changed from 180 to 680 m with a step of 100 m. Models are created by method of the nonlinear functional and factorial regression displaying with high reliability on determination coefficient 0.963-0.99 regularities of change of indicators of transport complexes. On the model relations of technological and operational indicators according to the accepted criteria it is established that restrictions for the choice and use of cyclic-flow technology because of their influence are not available.

Key words: cyclic-flow technology excavator and automobile complex process parameters and indicators of transportation performance indicators deep pit regression model

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