Study on the Application of Real-Time Drone Monitoring in Ordos Open-Pit Coal Mine ()
ABSTRACT
In the
process of intelligent mine construction in open-pit mine, in order to improve the safety monitoring ability of mine
transportation system, solve the problems
of large human interference and blind Angle detection by existing conventional
monitoring methods, this paper establishes an open-pit mine monitoring data
set, and proposes a real-time intelligent monitoring model based on UAV. The reasoning component
with strong computing power and low power
consumption is selected, and the lightweight object detection model is selected
for the experiment. A quantitative standard of dynamic energy
consumption detection by evaluation algorithm is proposed. Through experimental comparison, it is found that
YOLOv4-tiny has the highest comprehensive grade in detection accuracy,
speed, energy consumption and other aspects, which is suitable for application
in the above model.
Share and Cite:
Wu, J. , Wang, W. and Ni, X. (2023) Study on the Application of Real-Time Drone Monitoring in Ordos Open-Pit Coal Mine.
Open Journal of Applied Sciences,
13, 483-495. doi:
10.4236/ojapps.2023.134039.
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