Masters Theses

Abstract

"Hydraulic shovels are increasingly being adopted in the mining industry, which is known for its significant energy consumption and carbon emissions. Technological improvements in hydraulic shovels aim at bolstering energy efficiency and productivity because of the drive to curb energy consumption and enhance energy efficiency. However, one aspect that is often overlooked is the vital role of operators. Although the influence of operators’ practices on excavators’ energy efficiency has been acknowledged in past studies, there is a paucity of quantitative research assessing this influence in the context of hydraulic shovels.

The main objectives of this study are to 1) develop algorithms for meaningful data extraction from shovel telemetry; and 2) test the hypothesis that operator practices significantly influence hydraulic shovel energy efficiency, focusing on identifying key differentiating parameters. This study collected telemetry data from a 40.5 yd3 bucket hydraulic shovel and developed several algorithms to extract meaningful data for comprehensive statistical analysis to fulfill the first objective. This study utilized statistical tests, including equality of means, to determine differences in operators’ energy efficiencies and further employed statistical data analysis techniques such as correlation and difference regression analysis to identify key parameters influencing these variations.

The analysis concluded that payload is the most significant variable influencing the differences in energy efficiencies of operators, as it consistently appears in the comparison across all operators, while variables such as boom angle, swing-out time, and digging time were less consistent explaining differences in operators’ energy efficiency"-- Abstract, p. iii

Advisor(s)

Awuah-Offei, Kwame, 1975-

Committee Member(s)

Adekpedjou, Akim
Frimpong, Samuel

Department(s)

Mining Engineering

Degree Name

M.S. in Mining Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2024

Pagination

xi, 144 pages

Note about bibliography

Includes_bibliographical_references_(pages 130-143)

Rights

© 2023 Noah Adekunle Aluko, All rights reserved

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 12328

Electronic OCLC #

1426862044

Download

Share

 
COinS