Embedded Intelligent Technologies for the mining and raw material sector
The aim of the lectures in this section is to introduce learner’s the examples of Intelligent Technologies for the mining and raw material sector usage, i.e., modelling design, extraction and management of raw materials, and to show Balkan capacities for innovation and entrepreneurship for strengthen knowledge transfer.
The Course Outline is presented below:
Introduction of Regional Serbian Chamber of Commerce in Zajecar examples of innovation and entrepreneurship strengthening.
Presentation of global mining industry status.
Examples of Intelligent Technologies for the mining and raw material sector usage.
Explanations of possibilities for Intelligent Technologies experts including in mining and raw materials sector.
Description of sustainable mining principles with intention that citizens accept the initiation of such activities close to the place where they live.
Basics of artificial intelligence (AI) techniques in connection to exploration, operation, mining, processing and waste handling.
Introduction to modelling and simulation approaches, usage of data repositories, information containers connected to mining and raw material technologies.
The evaluation questionnaire is an indicator of the success of the course.
Learning outcomes:
Upon successful completion of the course, learners:
Will be fully informed about the benefits and consequences of mining activities and the raw materials industry globally and in their region.
Will be informed about the examples of Intelligent Technologies for the mining and raw material sector usage.
Will be able to consider joining to mining and raw materials sector even they are not mining experts and especially if they are Intelligent Technologies experts.
Will become more familiar with mining concepts and environmental impacts and consider world industry challenges that lead to growth of mining industry.
Will be sufficiently convinced and led into a favourable attitude towards the acceptance of such activities, that they will not try to prevent them.
Will be capable of accessing and questioning existent data repositories as well as begin to develop their own.
Will be introduced to and acquainted with the wealth of AI-related technologies of evergrowing presence in the field.
Simulation is used to evaluate the effect of process changes, new procedures and capital investment in equipment. Engineers can use simulation to assess the performance of an existing system or predict the performance of a planned system, comparing alternative solutions and designs.
The specific course aims to introduce to next generation of engineers and entrepreneurs the importance of process simulation in the Industry 4.0.
Upon successful completion of the course, participants will know the next concepts:
