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Tools for Mining Information
Modelling –
MiningBIM generation process
30.8.2023, Jyrki Salmi
University of Oulu, Finland
Survey for participants:
Oulun yliopisto
Speaker: Jyrki Salmi
❑Academic present:
University of Oulu, Finland
Civil engineering unit, Digital Construction and Mining research area
-Doctoral researcher (PhD student), since Feb 2021, completion in autumn 2025
-Research director, Digitalization and automation of mining
❑Industrial background:
Master of Science in Mining and Process Engineering 1995 from Aalto University in Helsinki.
26 years of work history from Outokumpu company’s Kemi and Hitura mines.
-Has worked in numerous positions from Summer intern to Vice president of the mine and
Head of mine deepening project.
-Special expertise in mine planning, data processing, information management and
information systems, mining automation, digitalisation, strategy planning and managerial
work.
❑Visionary - Enabler - Researcher
jyrki.salmi@oulu.fi, tel. +358 40 838 6743
University of Oulu
Part A - Presentation
➢Exploring MiningBIM as an emerging technology
that has the potential to improve the safety,
efficiency, and sustainability of mining operations.
➢Looking at how it enables the connection of all
existing related information to the surfaces, solids,
and voids as data points in the 3D information model.
➢Discovering BIM’s high-quality 3D-models with
semantic information i.e., graphical and non-
graphical information created with object-oriented
programming.
➢Understanding the generation process and
fundamentals of the MiningBIM are presented.
Survey for participants
University of Oulu
Part B - Workshop
➢Building on the information shared in Part A during
the main agenda, this informative and interactive
workshop will provide participants with a deeper
understanding of BIM's applications, implications,
and opportunities for the mining industry.
➢It will include the results of a critical research
project in collaboration with the University of
Birmingham, UK, and key pilot projects in this area.
➢There will also be several interactive exercises to
ensure that each participant can relate to the
practical applications of MIM for their organisation.
University of Oulu
What is
BIM?
BIM
Graphical
data
Non-
Graphical
data
Documents
Digital
‘The basic conditions of construction control are
often incomplete or unduly rushed because
necessary information is not available sufficiently
ahead of time, or is not complete enough.’
(Higgin & Jessop, 1965, p. 77)
Conceptual
design
Detailed
design
Construction
Operation
Rebuild
Life cycle
process
BIM
Computer
analysis
Facilities
manager
Contractors
Design
teams
Client
Shared
knowledge
Interoperability
InfraBIM
GeoBIM
TunnelBIM
MineBIM
University of Oulu
Data modelling maturity levels
The predecessor
of BIM was CAD,
which in practice
was and is 2D
drawing on a
computer.
BIM provides an all-
encompassing
container of
information about all
aspects of a building
University of Oulu
Mining Information Modelling (MiningBIM, MIM)
What is Building Information Model(ling) BIM?
= BIM derived Mine Information Model.
A dynamic, digital, and open environment
for the life cycle management of a mine,
including maintenance, production and aftercare.
A 3D representation of a building or construction
process in digital format with metadata of the
property throughout its entire life cycle.
© Jyrki Salmi 2022
Deswik
University of Oulu
Information Modelling in Mining
MiningBIM, MineBIM, MIM
➢A 3-dimensional representation of the mine in a digital format with all
kind of information and features attached to physical components.
➢A data storage for information where data is structured and stored in
a format that can be automatically interpreted and utilized by various
computer applications enabling information sharing and collaboration.
➢A dynamic environment for mine lifecycle management from
exploration and design to implementation, closure, demolition and
aftercare, as well as maintenance and production.
➢The aim is to digitalize both mining processes and electrify
documentation.
➢Enables construction and mining management for the development of
automation, robotics and artificial intelligence (AI).
© Jyrki Salmi 2023
University of Oulu
Basic benefits of BIM
✓Data reuse value and metadata.
✓Design quality assurance; Clash detection and finding
errors early.
✓Visualization; 3D modelling, scenarios and simulation.
✓Interaction; Co-operation between the different parties.
✓Streamlining site processes; Meaningfulness of work.
✓Quality assurance of the construction/production process;
Traceability.
© Jyrki Salmi 2023
Multiple benefits of better specification and delivering
the right amount of data with appropriate technologies.
University of Oulu
Additional
benefits of BIM… For design:
Preproduction to owner:
For construction: Post construction:
University of Oulu
Why MiningBIM?
Poster presentation 28.6.2023: MiningBIM
–A Holistic Digital Description of a Mine
Jyrki Salmi, University of Oulu, Finland;
Zehao Ye, University of Birmingham
Jelena Ninic, University of Birmingham
MiningBIM fills also the technology gap for machine
automation development in a mining a environment.
Both mining and
tunnelling sectors lack
a uniform BIM
modelling approach.
Research gap
University of Oulu
Work machine automation development
Tunnelling and mining sector
BIM
InfraBIM
MineBIM
Multi-machine automation
and machine swarms in an
intelligent environment.
AI-powered decision-
making through data
fusion.
Single machine
automation and
remote operation.
3D modelling and
visualisation.
Situational
awareness.
General data
management.
Manual data
fusion.
Digital description /
translation of the operating
environment.
© Jyrki Salmi 2021
The use of a common information system is the key to increase productivity and to improve the quality of
underground projects (Li and Zhu, 2013).
BIM adoption has the advantages of better collaboration, higher degree of automation, more advanced
analytics, and optimization of information (Bradley et al., 2016).
Visualisation and interoperability facilitated by BIM processes are especially important to underground
construction that engages interdisciplinary participation and multi-environment interaction (Huang et al., 2021).
MiningBIM enabled mining machine automation
development path
University of Oulu
From mining raw data
to target and value setting
The benefits of information modelling support the benefits of
automation to achieve the desired values.
Trajectory from raw data to advanced target setting.
In mining, there is an inability to
recognize the value of all available
information in different parts of the
production and processing chain.
“Big data can be used especially in information modelling to
support advanced analytics applications to discover the
flaws and to achieve continuous process improvements
and determine best practices across the whole design or
build lifecycle”. Slansky, 2017
All relevant information collected
from the mining process lays the
foundation for the mine’s
decision-making process.
© Jyrki Salmi 2023
University of Oulu
MineBIM
generation
process
University of Oulu
BIM model creation process
Raw data
BIM model
University of Oulu
BIM model creation process
Poster presentation 28.6.2023: MiningBIM
–A Holistic Digital Description of a Mine
Jyrki Salmi, University of Oulu, Finland;
Zehao Ye, University of Birmingham
Jelena Ninic, University of Birmingham
University of Oulu
… continues in workshop at 2:00-3:45 PM
➢Detailed results of the research project in
collaboration with the University of Birmingham,
UK.
➢Digging deeper into BIM and MIM fundamentals
to understand applications, impacts, and
opportunities for the mining industry.
➢Several interactive exercises to ensure that
every participant can identify with the practical
applications of MIM in their organisation.
➢Discussion of working group formation and/or
joint research projects for MiningBIM
conceptualization.
Be there!
Welcome!
Give your input!
All this excitement…