Time-Aware and Spatial Oriented Driven User Interfaces in the Context of Safe Zones for Underground Mining

Abstract

This paper deals with visualization of time and safety critical data collected in underground mining operations. These data contain information of the rock mass and its behavior, the environmental conditions as well as general geometric, and time dependent information. Eventually, the combination of the data shall secure safe and sustainable extraction of valuable raw materials by combining information from a wide range of sensors in a data-driven Internet of Things platform, performing suitable evaluations, and, finally, feeding back the extracted learning to all stakeholders involved in a convenient and platform independent way from mine management to foremen and equipment operators. The results are novel visualization techniques for underground mining. The most suitable UIs in heavy duty mining operations are robust and customizable, using latest web technology in their dashboards. Depending on the required user category, the dashboard display may be configured accordingly. In this work we focus on the workers’ and the mine operators’ (e.g. underground, on-site workers including technicians and engineers) needs to display in real-time relevant operational information on immediate or urgent tasks/actions.

Keywords: IoT, visualisation, human factor, mining, safe zones

DOI: 10.54941/ahfe1001835