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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Benndorf, J. (2020). Optimization Methods to Translate Online Sensor Data into Mining Intelligence. In: Closed Loop Management in Mineral Resource Extraction. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-40900-5_5
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DOI: https://doi.org/10.1007/978-3-030-40900-5_5
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