Artificial Intelligence And its Integration with the Mines and Geology industry
Artificial Intelligence, Mines, Mining, Mineral, Engineering, Safety
Artificial Intelligence (AI) integration is driving a major revolution in the mining and geology business. The fascinating potential that artificial intelligence (AI) presents are examined in this study, ranging from streamlining mineral exploration to streamlining mine operations and reducing environmental effect. AI algorithms can analyze vast datasets of geological data, satellite imagery, and historical records to identify potential mineral deposits, even those hidden underground. This can significantly reduce exploration costs and time, while also predicting areas with a higher likelihood of containing valuable minerals. Once a mine is operational, Artificial Intelligence -powered sensors and cameras can monitor activities in real-time, gathering data on factors like ore quality, equipment health, and potential safety hazards. This data is then analyzed to optimize mining operations, improve efficiency, and maximize resource extraction. Predictive maintenance based on AI can further reduce downtime and costs. The use of autonomous robots for tasks like drilling, hauling, and surveying not only improves safety but also allows for more efficient operations. AI can also play a crucial role in promoting sustainable practices by identifying ways to minimize waste, optimize energy usage, and monitor potential environmental impacts. However, challenges remain in the widespread adoption of Artificial Intelligence in mining. These include the high cost of implementing new technologies, the need for robust data infrastructure, and potential workforce concerns. Additionally, the responsible development and use of Artificial Intelligence are critical, focusing on ethical treatment of workers, addressing environmental considerations, and ensuring data privacy. Artificial Intelligence holds immense potential to transform the mines and geology industry. By overcoming the challenges and implementing responsible practices, Artificial Intelligence can lead to a safer, more efficient, and sustainable future for mining. Overall, the paper argues that by overcoming the challenges and prioritizing responsible development, Artificial Intelligence has the potential to transform the mines and geology industry into a safer, more efficient, and sustainable sector. The goal of this study is to present a thorough overview of AI applications in geological engineering and mining, along with future research directions. The study focuses on published research on artificial intelligence applications in the fields of rock mechanics, environmental concerns, mining equipment, drilling-blasting, slope stability, mining method selection, and pertinent geological engineering.
"Artificial Intelligence And its Integration with the Mines and Geology industry", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 6, page no.631 - 639, June-2024, Available :https://ijsdr.org/papers/IJSDR2406070.pdf
Volume 9
Issue 6,
June-2024
Pages : 631 - 639
Paper Reg. ID: IJSDR_211755
Published Paper Id: IJSDR2406070
Downloads: 000347106
Research Area: Engineering
Country: HYDERABAD, TELANGANA, INDIA
DOI: https://doi.org/10.5281/zenodo.11783170
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
