Design of Unmanned Road Widths in Open-Pit Mines Based on Offset Reaction Times
Source abstract
Abstract
In an effort to enhance the efficiency and safety of open-pit mines, this study explores the optimization of end slope road parameters and slope structures, specifically focusing on unmanned driving lanes. A significant aspect of the study is the development of a truck trajectory offset model, which considers the different reaction times between automated sensors and human drivers in adapting to environmental changes. To test these concepts, the study uses numerical simulations to confirm the stability of the proposed end slope designs. Using Victory West Mine No. 1 as a case study, the research determines the optimized width for unmanned driving lanes and the maximum angle for the safe steepening of end slopes. The findings indicate that the optimized unmanned lane width for NTE240 mining dump trucks is 1743 mm, allowing for a 2-degree increase in the slope angle at the south end slope. This optimization leads to a steep mining stripping volume of 3.2735 million m3 and a coal output of 2.49628 million tons, maintaining a stripping ratio of 1.31 m3/t. These results demonstrate that unmanned driving road width optimization not only ensures slope safety but also significantly boosts the economic benefits of steep mining in open-pit mines.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Mining Techniques and Economics · Robotic Path Planning Algorithms · Advanced Manufacturing and Logistics Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mines, China University of Mining and Technology, Xuzhou 221116, China
Funding
the National Natural Science Foundation of China · Natural Science Foundation of Liaoning Province (CN) · Xinjiang Uygur Autonomous Region Science and Technology Major Program
References (26)
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