Data analytics applied to the mining industry /

"The book describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centres, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how dat...

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Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Soofastaei, Ali (Editor)
Format:	eBook
Language:	English
Published:	Boca Raton, FL : CRC Press, 2021.
Edition:	1st edition.
Subjects:	Mining engineering > Data processing. Mineral industries > Data processing. Quantitative research. Artificial intelligence. Artificial Intelligence Technique minière > Informatique. Mines > Industrie > Informatique. Recherche quantitative. Intelligence artificielle. artificial intelligence. COMPUTERS / Database Management / Data Mining TECHNOLOGY / Engineering / Civil Artificial intelligence Mineral industries > Data processing Mining engineering > Data processing Quantitative research Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Digital transformation of mining
Advanced-data analytics
Data collection, storage and retrieval
Making sense of data
Analytics toolsets
Process analytics
Predictive maintenance of mining machines : applying advanced data analysis
Data analytics for energy efficiency and gas emission reduction
Making decisions based on analytics
Future skills requirements.