Understanding what’s underground is where all starts, and the first step to successful and sustainable mining, Usual ways of studying drill cores or tracking drilling data can be slow, costly, and not always accurate. Innovative technologies under the Mine.io project introduces…
Exploring flooded mines is extremely difficult. Traditional tools like seismic scans, electrical testing, and ground-penetrating radar often don’t work well underwater. Sending people or machines into these environments is risky expensive, and limited. Because of this, it’s hard to study the…
“Managing and exchanging data across multiple formats can be complex and time-consuming. That’s where EDMtruePLM an ISO 10303 Repository, steps in – streamlining data interoperability and making integration seamless.” To achieve the above objective in the MINE.IO project, Jotne Connect delivered its interoperable…
Luleå University of Technology’s (LTU) cyber-physical systems group contributes to the Mine.io big data platform in two ways: By building out data transfer options to attached systems like the drill core analysis platform using an adapter from the Apache Kafka to…
The Remote Sensing Edge Computing/Continuum Decentralized Communication System is a software component aiming to assist in the modernization of mining operations. Its role is to gather data from a wide variety of on-site sensors and devices, process or standardize them at…
Mining activities generate both positive and negative societal impacts, as the extracted raw materials feed into various value chains, contributing to employment and economic development. This project activity (task 5.3) investigates the social implications of mining, focusing on mine.io solutions, technologies…
In the mining sector, equipment maintenance expenses are reported to account for approximately 40% to 70% of total setup costs and 20% to 60% of operational expenses. Rather than being viewed merely as a routine operational task, maintenance is increasingly recognized…
What if mine operations could run more smoothly, with fewer delays, tighter compliance, and better coordination between teams – without drowning in emails, spreadsheets, or siloed systems? That’s exactly the goal of the Workflow Automation Engine (WAE), a powerful new platform…
The Mine.io Big Data Platform is an efficient, customized solution designed to address the complex data management needs of the contemporary Mining Industry. Developed with a distinct focus on usability, scalability, and interoperability, it aims at tackling the challenges of the…
The Mine.io project is focused on developing a new Holistic Digitized Ecosystem of the Mining Industry 4.0. Its aim is to propose a new organization of the extraction, processing and use of mineral resources. This approach has been forced by the…