Data Analytics Applied to the Mining Industry

1. Auflage 2023
ISBN: 978-0-367-61224-5
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 272 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 386 g

Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centers, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies, and worked examples. Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book:

- Explains how to implement advanced data analytics through case studies and examples in mining engineering

- Provides approaches and methods to improve data-driven decision making

- Explains a concise overview of the state of the art for Mining Executives and Managers

- Highlights and describes critical opportunity areas for mining optimization

- Brings experience and learning in digital transformation from adjacent sectors

Zielgruppe

Professional and Professional Practice & Development

Autoren/Hrsg.

Soofastaei, Ali

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen
• Technische Wissenschaften Bauingenieurwesen Boden- und Felsmechanik, Geotechnik

Inhaltsverzeichnis

1. Digital Transformation of Mining. 2. Data Analytics and the Mining Value Chain. 3. Data Collection, Storage and Retrieval. 4. Making Sense of Data. 5. Analytics Toolset. 6. Making Decisions based on Analytics. 7. Process Performance Analytics. 8. Process Maintenance Analytics. 9. Data Analytics for Energy Efficiency and Gas Emission Reduction. 10. Future Skills Requirements.