TITLE:
Safety Measurements and Risk Assessment of Coal Mining Industry Using Artificial Intelligence and Machine Learning
AUTHORS:
Sundas Matloob, Yang Li, Khurram Zaman Khan
KEYWORDS:
Artificial Intelligence, Smart Mining, Risks Assessment, Coal Mining, Economic Benefits
JOURNAL NAME:
Open Journal of Business and Management,
Vol.9 No.3,
May
21,
2021
ABSTRACT: Safety is
a legal requirement of mining industry.
Effective safety measurements and risk management can serve the mine
administration to lessen the dangers recognized in the mine. Autonomous
technologies, such as Artificial Intelligence (AI) and Machine Learning (ML)
models have been integrated with the mining industry to ensure a safe working
environment since a decade ago in the form of fully unmanned workfaces and mining robots. These autonomous
technologies provide effective risk assessment as well as many economic profits
such as cost reduction, continuous production, reducing labors exposure in
dangerous environments, and enhanced protection. The main objective of this
paper is to highlight the unidentified hazards during mining and find the
solutions to those hazards by using AI and Machine Learning. In addition, this paper
will also contribute a worthy resource for explaining the AI advancements in
risk assessment in the mining industry. Another advantage of this paper is to
fill the gaps in modern techniques and AI advancements in the safety
measurements of coal mining industry.