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Real-time identification and modelling in pervasive mining

Perez, J., Soto, I., Cubillos, F., Sun, L. and Liu, K. (2013) Real-time identification and modelling in pervasive mining. In: The 14th International Conference on Informatics and Semiotics in Organisations, 25-27 March 2013, Sweden.

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Abstract/Summary

This paper introduces an architecture for identifying and modelling in real-time at a copper mine using new technologies as M2M and cloud computing with a server in the cloud and an Android client inside the mine. The proposed design brings up pervasive mining, a system with wider coverage, higher communication efficiency, better fault-tolerance, and anytime anywhere availability. This solution was designed for a plant inside the mine which cannot tolerate interruption and for which their identification in situ, in real time, is an essential part of the system to control aspects such as instability by adjusting their corresponding parameters without stopping the process.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:32135

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