MineBIM – Driving the digital transformation of mining through ontology-driven parametric information modelling: The MineBIM Framework
Thesis event information
Date and time of the thesis defence
Place of the thesis defence
Hall TA105 (Arina Hall), Linnanmaa campus
Topic of the dissertation
MineBIM – Driving the digital transformation of mining through ontology-driven parametric information modelling: The MineBIM Framework
Doctoral candidate
Master of Science Jyrki Salmi
Faculty and unit
University of Oulu Graduate School, Faculty of Technology, Civil Engineering
Subject of study
Digital construction and mining
Opponent
Associate Professor Olli Seppänen, Aalto University
Custos
Professor Rauno Heikkilä, University of Oulu
Towards the digital mine – A unified information model for mining
Modern underground mines generate large amounts of geological, operational, environmental and process-related data. However, this information is often scattered across different software systems, data formats and organisational processes, making it difficult to reuse data efficiently and to develop integrated digital mining solutions.
This dissertation develops the MineBIM framework as a more unified way to organise, connect and use mining information throughout the mine lifecycle. The approach is based on ontology-driven and parametric information modelling, which can help describe information more consistently and make relationships between different types of mining data more explicit.
The findings show that the digital transformation of mining is limited not only by technology, but also by fragmented information structures and inconsistent ways of describing and managing data. More coherent information modelling can improve interoperability, reproducibility and traceability, while also supporting the development of digital and virtual twins.
MineBIM provides a conceptual and methodological foundation for more interoperable, lifecycle-oriented and information-centric digital mining. It is not presented as a complete software product or a final industry standard, but as a framework that can support the further development of future digital mining environments.
This dissertation develops the MineBIM framework as a more unified way to organise, connect and use mining information throughout the mine lifecycle. The approach is based on ontology-driven and parametric information modelling, which can help describe information more consistently and make relationships between different types of mining data more explicit.
The findings show that the digital transformation of mining is limited not only by technology, but also by fragmented information structures and inconsistent ways of describing and managing data. More coherent information modelling can improve interoperability, reproducibility and traceability, while also supporting the development of digital and virtual twins.
MineBIM provides a conceptual and methodological foundation for more interoperable, lifecycle-oriented and information-centric digital mining. It is not presented as a complete software product or a final industry standard, but as a framework that can support the further development of future digital mining environments.
Created 26.9.2026 | Updated 28.9.2026