Added Value from Data in the Context of Mining, Construction, and Raw Materials

blended course

The purpose of this seminar is to introduce the concepts and methods required to create added value from data in the context of mining, construction and raw materials. The implementation of digital-twins for heavy plant and machinery requires the complete vertical integration of data: starting with the acquisition of real-time machine data, through its ingestion into a structured data-centric analysis system, the generic calculation of key performance indicators, through to the application of hybrid machine learning to the data. The correct structured handling of metadata is addressed, since it is essential when adding meaning to time-series data. The aim is to create added-value from data, via the discovery of knowledge in the data and the creation of understanding via models. The seminar will focus on the required concepts, methods and patterns. Different business models are presented for the creation of added value from data, with the aim of providing economic justification for the investment in such technologies. A series of current applications we have developed are presented as demonstrators. They show: a) the use of GPS referenced time series data to predict subsurface properties during drilling for heavy construction and to verify the quality of the produced elements; b) the use of digital twins for bulk handling materials in mining, leading to the improvement of performance and sustainability.

Course leader

PROF. PAUL O’ LEARY, UNIVERSITY OF LEOBEN

Target group

Advanced undergraduate and graduate students, faculty

Fee info

EUR 1200: The fee includes attendance of the lectures, room and board (breakfasts and dinners), the excursion, and reading material.
EUR 500: For those students who wish to attend the lectures online, residents of the Kavala region who do not need hotel accommodation and meals or for those students who wish to make their own hotel and meal arrangements, the tuition fee is set at €500 and it includes only access to the lectures and reading material.

Scholarships

Yes (see our website for details).