Real-Time Modeling in Pervasive Mining

نویسندگان

  • Jose Perez
  • Ismael Soto
  • Miguel Alfaro
  • Francisco Cubillos
  • Pei Xiao
چکیده

This paper introduces an integrated design for realtime plant modeling at a copper mine, using Support Vector Machines (SVM), Neural Networks, and new technologies such as Machine-to-Machine (M2M) and Cloud Computing with an Android client. This solution was designed for a plant inside a copper mine which cannot tolerate interruption and for which their in situ modeling, 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. (Abstract)

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تاریخ انتشار 2013