TRIM4Post-Mining: Transition Information Modelling for Attractive Post-Mining Landscapes—A Conceptual Framework

TRIM4Post-Mining is a H2020/RFCS-funded project that brings together a consortium of European experts from industry and academia to develop an integrated information modelling system. This is designed to support decision making and planning during the transition from coal exploitation to a revitalized post-mining landscape, enabling...

Value of Information Introduced by a Resource Model Updating Framework

A primary concern of the mining industry is to meet production targets, which are required and defined by customers. Deviations from these targets, in terms of quality and quantity, highly affect the economical aspect. Recently, an efficient resource model updating framework concept has been proposed aiming for the improvement of raw material...

Sensor-based Real-time Resource Model Reconciliation for Improved Mine Production Control: A Conceptual Framework

The flow of information, and consequently the decision-making along the chain of mining from exploration to beneficiation, typically occurs in a discontinuous fashion over long timespans. In addition, due to the uncertain nature of the knowledge about deposits and the inherent spatial distribution of material characteristics, actual production...

The use of sensor derived data in optimization along the Mine-Value-Chain

Sensor derived data can add value across the mining operating chain ranging from resource definition, extraction, pre-concentration, mineral process monitoring and assessment of product quality. Most documented studies on sensors in mining focus on specific technologies for specific applications. These studies do not take into account different...