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Optimization Methods to Translate Online Sensor Data into Mining Intelligence

  • Jörg BenndorfEmail author
Chapter
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Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Abstract

Online sensor data from production monitoring deliver a continuous database and up-to-date information about the characteristics of the produced ore. The updating framework presented in Chaps.  3 and  4 enables to manifest this data into up-to-date knowledge about the orebody. The final step in the closed-loop approach is to translate this up-to-date knowledge into intelligent decisions for short-term planning and production control. This Chapter first briefly introduces general aspects of mine planning optimization. Two examples describe case studies of implemented short-term mine planning optimization that take updated grade control models into account. An attempt to quantify the added value of information from production monitoring conclude this Chapter.

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Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Mine Surveying and GeodesyUniversity of Technology Bergakademie FreibergFreibergGermany

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