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Research on the overall framework and key technologies of intelligent open-pit mines
- Source :
- Gong-kuang zidonghua, Vol 47, Iss 8, Pp 27-32 (2021)
- Publication Year :
- 2021
- Publisher :
- Editorial Department of Industry and Mine Automation, 2021.
-
Abstract
- Combined with the characteristics of open-pit mines in China, the definition of intelligent open-pit mines is given. This paper introduces the overall network architecture, business architecture and collaborative process of the intelligent open-pit mine. The overall network architecture of cloud, edge and end is adopted to realize the collaborative correlation of various production links in the open-pit mine by accessing multi-source heterogeneous data and fully applying advanced technologies such as big data and cloud computing. The business architecture adopts the "5 layers + 3 system" model. The "5 layers" from bottom to top are the basic equipment layer, business data layer, analysis service layer, analysis business layer and analysis presentation layer. And the "3 systems" are data analysis standard system, safety specification standard system, metadata and code specification standard system. The bottom-up collaboration of intelligent open-pit mine should realize "basic + data" support, mine production system collaboration, disaster risk analysis collaboration and business decision-making collaboration. The key technologies such as unmanned technology, digital twin technology, big data collection and analysis technology, risk monitoring and early warning technology of intelligent open-pit mine are discussed. It is pointed out that technologies such as big data and artificial intelligence will become the core driver of open-pit mine intelligence. The platform-based architecture will become the common choice for future intelligent open-pit mine systems.
Details
- Language :
- Chinese
- ISSN :
- 1671251x and 1671251X
- Volume :
- 47
- Issue :
- 8
- Database :
- Directory of Open Access Journals
- Journal :
- Gong-kuang zidonghua
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.8942d27b0d334af8a49b8e36dda1b3d1
- Document Type :
- article
- Full Text :
- https://doi.org/10.13272/j.issn.1671-251x.2021010058