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2022 | OriginalPaper | Chapter

Resource Model Updating and Optimization for Real-Time Mining

Author : Jörg Benndorf

Published in: Yearbook of Sustainable Smart Mining and Energy 2021

Publisher: Springer International Publishing

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Abstract

Digital technologies increasingly determine our day to day life and industrial production processes. Buzzwords, such as digital disruption or Industry 4.0, define the themes of conferences, major research programs, and technical development in many enterprises. These promote the use of sensor technology combined with smart data analytics and predictive modelling to derive faster relevant information in a connected world. The general goal is to provide relevant and reliable information from sensors to control options and, in this way, support an intelligent decision-making process. Our world is equipped with an enormous amount of sensors. Examples include positioning sensors, accelerometer, gyroscopes and RGB Cameras in mobile phones, distance measuring scanners in cars, satellite data, and many more. It is expected that in a few years, most parts of our world will be mapped or scanned by sensors several times daily. Updates about changes, detected by sensors, will be available in short time intervals, nearly in real-time.

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previous chapter Roof Crack Detection & Face Material Characterization Via Thermal Imaging

next chapter Development of a Data Fusion Model for Material Flow Characterization Using the Example of Gypsum and Anhydrite

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Title: Resource Model Updating and Optimization for Real-Time Mining
Author: Jörg Benndorf
Publisher: Springer International Publishing
Book: Yearbook of Sustainable Smart Mining and Energy 2021
Print ISBN: 978-3-030-84314-4

Electronic ISBN: 978-3-030-84315-1

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-3-030-84315-1_10

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