Safety Measurements and Risk Assessment of Coal Mining Industry Using Artificial Intelligence and Machine Learning

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.

Evolution dynamic of intelligent construction strategy of coal mine enterprises in China

“…The intelligent construction of coal mining enterprises is an important way to realize the high-quality development of the coal industry. Existing literatures ( Matloob, S. et al., 2021 ; Li et al., 2021 ) mainly focus on intelligent technical support for enterprises from the perspective of engineering technology, and most models are based on the assumption of infinite population. This ignores the following two points.…”

“…It is necessary for the government to regulate and control the intelligent construction behavior of coal mining enterprises through policies. The existing research focuses on the technical support for the intelligent construction of coal mines ( Matloob et al., 2021 ; Chen et al., 2021 ; Nguyen et al., 2020 ; Jo et al., 2019 ; Singh et al., 2018 ), and lacks the discussion on the management issues such as policy regulation in the intelligent construction of coal mining enterprises, which also shows the necessity and urgency of this research.…”

Industrial Internet of Things for Safety Management Applications: A Survey

“…However, automation in the mining industry is not without its risks and set of challenges, especially considering the involvement of humans on some level [142]. AI-based safety measurement and risk assessment of mines [141], and other similar modeling tools play a crucial role in planning and strategizing mine operations and its safety. The use of remote isolation systems for complex systems improves workplace safety standards through remote switching and racking of circuit breakers [117].…”

Deformation Monitoring and Spatiotemporal Evolution of Mining Area with Unmanned Aerial Vehicle and D-InSAR Technology

“…Figures 9(c) and 9(d) revealed that the, the main subsidence area is nearly rounded form, with symmetrical development on both sides of strike and dip that reveals subsidence us, its monitoring is essential for the safety and economics of coal mining [45,46]. erefore, risk assessment and management of coal mining using spatiotemporal mobile imaging systems is extremely important for sustainable development [47].…”