Abstract
Technology is growing very fast, and we are facing the Fourth Revolution in industry. Digital transformation has found its way in to many different traditional and modern industries. Digitalization and automation are two common words in mining these days. However, there are many challenges in the mining industry to reach the appropriate maturity level for Industry 4.0. Data collection systems, cloud-based storage, intelligent data architecture, creating online data hubs are some examples of digitalization challenges. Moreover, it is essential to use advanced analytics models applying artificial intelligence and machine learning models for automation, prediction, and optimization. Mine managers need an intelligent indigent virtual assistant to make better decisions and develop smart mines. This chapter some key components of intelligent mining and helps researchers understand Industry 4.0 in the mining context.
| Original language | English |
|---|---|
| Title of host publication | Advanced Analytics in Mining Engineering |
| Subtitle of host publication | Leverage Advanced Analytics in Mining Industry to Make Better Business Decisions |
| Publisher | Springer International Publishing |
| Pages | 23-54 |
| Number of pages | 32 |
| ISBN (Electronic) | 9783030915896 |
| ISBN (Print) | 9783030915889 |
| DOIs | |
| Publication status | Published - 23 Feb 2022 |
Keywords
- Advanced analytics
- Artificial intelligence
- Industrial Internet of Things
- Machine-to-machine communication
- Mining
