[Chair of Mining Engineering and Mineral Economics-the Future].

In order to tackle climate change and increasing competition in access to resources, the European Union has defined far-reaching transformations in the areas of energy and digitalisation as well as the conversion of the economic system towards an inclusive, circular economy in the so-called Green Deal. From a mining perspective, these transformations mean a continued growing demand for raw materials, which must be met by extracting mineral raw materials from primary deposits. However, increased quantities with "business as usual" would also increase the environmental and social impacts of mining, which is not an option, especially in Europe and Austria.

Application of Ultra-Wide Band Sensors in Mining.

Ultra-wideband (UWB) sensors are a radio frequency technology that use wireless communication between devices to precisely determine the position. The most recent applications focus on locating and sensor data collecting on mobile phones, car keys and other similar devices. However, this technology is still not being utilized in the mining sector.

Prototype of Instrumented Rock Bolt for Continuous Monitoring of Roof Fall Hazard in Deep Underground Mines.

Roof falls are currently one of the most dangerous threats associated with underground mining at great depth. Every occurrence of such an event poses a significant risk to the mining crew and disturbs the continuity of the mining process, which clearly affects the economy of the exploitation process. The development of a reliable monitoring system may significantly reduce the impact of eventual roof failure and will have a positive effect on the sustainability of the extraction process.

Pangea: An MLOps Tool for Automatically Generating Infrastructure and Deploying Analytic Pipelines in Edge, Fog and Cloud Layers.

Development and operations (DevOps), artificial intelligence (AI), big data and edge-fog-cloud are disruptive technologies that may produce a radical transformation of the industry. Nevertheless, there are still major challenges to efficiently applying them in order to optimise productivity. Some of them are addressed in this article, concretely, with respect to the adequate management of information technology (IT) infrastructures for automated analysis processes in critical fields such as the mining industry.