Safety Measurements and Risk Assessment of Coal Mining Industry Using Artificial Intelligence and Machine Learning - Open Journal of Business and Management

OJBM > Vol.9 No.3, May 2021

Open Journal of Business and Management

Volume 9, Issue 3 (May 2021)

ISSN Print: 2329-3284 ISSN Online: 2329-3292

Google-based Impact Factor: 1.13 Citations

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

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Download as PDF (Size: 1385KB) PP. 1198-1209

DOI: 10.4236/ojbm.2021.93064 727 Downloads 4,323 Views Citations

Author(s)

Sundas Matloob, Yang Li, Khurram Zaman Khan

Affiliation(s)

School of Economics and Management, Anhui University of Science and Technology, Huainan, China.

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.

KEYWORDS

Artificial Intelligence, Smart Mining, Risks Assessment, Coal Mining, Economic Benefits

Share and Cite:

Matloob, S. , Li, Y. and Khan, K. (2021) Safety Measurements and Risk Assessment of Coal Mining Industry Using Artificial Intelligence and Machine Learning. Open Journal of Business and Management, 9, 1198-1209. doi: 10.4236/ojbm.2021.93064.

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[2]	Evolution dynamic of intelligent construction strategy of coal mine enterprises in China
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[3]	Deformation Monitoring and Spatiotemporal Evolution of Mining Area with Unmanned Aerial Vehicle and D-InSAR Technology
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[4]	Optimization of Environmental Data to Improve Safety in Coal Mine using Wireless Sensor Networks
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[5]	Artificial Intelligence-based Predictive Analysis of Self-Advancing Goaf Edge Support (SAGES) for Improving Underground Mines Safety
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[6]	제조 공정의 위험 감지를 위한 채널화 시계열 데이터 증강 및 예측 방법론
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[7]	Machine learning on sustainable energy: a review and outlook on renewable energy systems, catalysis, smart grid and energy storage
	2021

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