The illuMINEation IIoT platform manages data distribution across edge, fog, and cloud layers. Sensors installed throughout the mining infrastructure capture data, transmitting wirelessly to the diverse nodes within the IIoT ecosystem. Via cutting-edge algorithms as services, the platform facilitates robust and intelligent data management, enhancing the safety and efficiency of mining operations. Data analysis is performed at multiple levels: at individual mine sites (edge node), across single-mine operations (fog node), and spanning multiple mines (cloud level), all orchestrated in a cohesive and logical sequence. A variety of low-cost sensors suitable for mining applications have been identified and utilized to create environmental and geotechnical monitoring solutions. As a result, rock bolts can now be fitted with sensors that monitor their deformation and integrity. These rock bolts are also equipped with low-cost environmental sensor combinations that measure parameters such as ambient temperature, pressure and humidity. They feature wireless communication capabilities for seamless data transfer to the IIoT platform. The application of advanced data filtering and processing has significantly improved data acquisition techniques during drilling operations. First major steps have been taken towards developing an automated sampling system capable of carrying out geochemical analyses in underground drilling application in near-real-time. Artificial Intelligence was deployed for rock model generation, and new tools for predicting rock mass fragmentation through numerical modelling have been developed. These innovations enhance blast design, optimize explosives loading, and streamline blast result evaluations. Numerous machine components underwent assessment for their suitability for Additive Manufacturing (AM). Those selected were printed and subsequently tested in real mining environment. Advanced data analytics for predictive maintenance (PM) of mining equipment were developed, enabling mining companies to anticipate potential equipment failures before they occur. Additionally, new algorithms for continuous battery monitoring (BM) support lifecycle management and alerts for anomalies that could jeopardize safety. By integrating AM, PM, and BM, costly downtime in mine production can be reduced or prevented, ultimately enhancing operational efficiency. Utilizing autonomous drones in underground mining presents unique challenges. In this project, the drones' functionality has been significantly enhanced by integrating specialized sensor suites. These sensors are designed to minimize weight, optimize flight time, and ensure precise navigation and collision avoidance. The drones can autonomously navigate to remote areas within the mine for inspection tasks. Moreover, they can extract important data from mining equipment and wirelessly transmit this information back to the control room. illuMINEation has a portfolio of 23 innovations, issued 55 scientific publications and more than 50 presentations were given at international conferences and events.
