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BIM in the extractive industry
19.3.2024, Jyrki Salmi
University of Oulu, Finland
Survey for participants:
Louhinta-, tunneli- ja kaivosalan BIM-tapahtuma 19.3.2024
BuildingSmart Finland
Oulun yliopisto
Material also available here:
https://www.researchgate.net/
University of Oulu
Speaker: Jyrki Salmi
Industrial background:
Visionary - Enabler - Researcher
jyrki.salmi@oulu.fi, tel. +358 40 838 6743
Academic present:
University of Oulu, Finland
Civil engineering unit
Digital Construction and
Mining research area
Master of
Science in Mining
and Process
Engineering 1995
from Aalto
University,
Helsinki.
26 years of work experience at Outokumpu Oy's Kemi
and Hitura mines. 10 different positions, from summer
trainee to Vice President of Kemi mine and Director of
the mine deepening project by 2021.
Special expertise in mine
planning, data processing,
information management and
information systems, mining
automation, digitalisation,
strategy planning and
managerial work.
Doctoral researcher
PhD student
2021-2025
Research director,
Digitalization and
automation of mining
In a cave, people who have spent their lives
facing back to the light coming from outside,
see only the shadows of animals, people and
objects in front of them. These shadows are the
only reality for these people who have never
seen their true form.
One day, one of the persons in the cave is
suddenly released. SHe encounters the world
outside the cave. The eyes of this person, who
are completely acquainted with the light, that
is, the truth, experience almost blindness. Over
time, SHe begins to realize that the shadows
that he thought were real until now are not real
and are just dark reflections of the truth.
Realizing the truth, She returns to the cave and
tries to explain to other people that the
shadows are fake, and the truth is outside.
However, these people, who have never seen
the outside, cannot comprehend what is being
said and they protest angrily...
Digitalisation
BIM
Miners
Mining 4.0
CAD
Mine Information Model
MIM
Information
Big Data
University of Oulu
Main topics of this presentation
Research
MIM / TIM
Processes
Further applications of BIM
Conclusions and
key takeaways
Plato’s
cave
“BIM in the extractive industry”
Data
BIM
Digital Twins
© Jyrki Salmi 2024
Connectivity
University of Oulu
Value of data
Data
Collect, store, manage and visualise
Information
Analyse and interpret
Knowledge
Learn and improve
Wisdom
Scale and apply
N
S
© Jyrki Salmi 2024
University of Oulu
Value of data connectivity and sharing
Improved Decision-Making
Enabling access to a wider range of data sources, both internal
and external, for more comprehensive and accurate insights.
Risk Mitigation and Compliance
Standardized data management processes.
Cost Savings
Eliminating data silos and reducing
the need for standalone solutions.
Enhanced Efficiency and Productivity
The need for manual data entry is eliminated
and duplication of effort is reduced.
Better Customer Experiences
Achieving a deeper understanding of
customer behavior, preferences and needs.
Innovation and growth
Facilitating the development of new
products, services, and business models.
Operational Agility
Rapid adaptation to changing conditions
and requirements.
Predictive Analytics and Forecasting
The use of advanced analytical techniques such
as machine learning and artificial intelligence.
“Information is valuable only when shared.”
Thomas J. Watson, Founder if IBM
© Jyrki Salmi 2024
Exploration Ore deposit
discovery Feasibility
studies Design Construction Operations
(production and
maintenance)
Demolition
and closure After care
Geology Mine design Tunnelling Stoping Ore handling Concentrating Storing Transportation
Mine life cycle
Drilling
Charching
Blasting
Ventilation
Watering
Loading and
hauling
Scaling
Surveying
Geological
mapping
Shotcreting
Meshing
and bolting
Shotcreting
Tunnelling
process
Core drilling Cable
bolting
Installation
of plates
and locks
Slot hole
drilling
Long hole
drilling
Charching
Stoping
process…
Scanning
Back
filling Stope
preparation
process
Blasting
Ventilation
Watering
Loading and
hauling
Secondary
breaking
Geological
control Stoping
process
Supportive work processes
Mining process
Road construction Mounting of tunnel
interior installations Tunnel installations
maintenance
Road and ditch
maintenance Check scalings Geological mapping Supplement
shotcreting
Tunnel installations
demolition
Mining
Tunnelling Infra
Multidimensional mining data workflows
© Jyrki Salmi 2024
University of Oulu
A brief history of my current research and
related activities
An initiative to launch a
co-innovation project
2022
26th World Mining Congress 2023, Brisbane, Australia, conference article and presentation:
”Tunnelling & Mining Information Modelling; A Digital Environment For Autonomous Mining
Machines And Machine Swarms”
Isarc symposium 2023, Chennai, India, conference article and presentation:
”Information Modelling Guidelines for the Mining Sector”
FinnMateria Fair 2022, Jyväskylä, Finland, presentation:
"Information modelling in the mining industry “
Journal article: “BIM for mining - Automated generation of information models
using a parametric modelling concept”
Mining Legacies of the West Midlands seminar 2023, Birmingham, United Kingdom, poster presentation.
”MiningBIM – A Holistic Digital Description of a Mine”
Discussions
Dassault Systemes
Deswik GeoBIM
TunnelBIM BIM in Tunnelling -
Guideline for
Mechanised and
Conventional
Tunnels - Vol 1
buildingSmart
Finland (bSF)
Presentations
Sweden, Spain buildingSmart
International (bSI)
IFC 4.4
Version
development
for tunnels
Workshop series
University of Oulu, Fin
2022
Research exchange
University of Birmingham, UK
2023
Working group
participation
ITA: WG22
ISMGE: TC222
Workshop series reports: "Workshop reports 1-6, Next Generation Mining (NG Mining)
project, Mining and extraction sector information modeling“
2024
© Jyrki Salmi 2024
University of Oulu
BIM in mining is…
…modelling of mining-related
parametrized 3D objects that…
… contain a large amount geo-referenced information.
…enable multidisciplinary design and collaboration between different design disciplines.
…support the management of the entire project life cycle.
…enable better interoperability between different software and stakeholders.
…integrate scheduling and resource management into the model.
Generated with AI
The value of using BIM is generated by
time savings, faster throughput times,
improved collaboration and interaction,
and better quality.
Over time, all the different software linked to the BIM model would use
the same data. For example, different analytics software would then all
run on the same data source and no further modifications would be
needed. The BIM models would then act as a mine-wide search engine.
…is an enabling methodology and process.
© Jyrki Salmi 2024
University of Oulu
Exploration Ore
deposit
discovery
Feasibility
studies Design Construction Operations
(production and
maintenance)
Demolition
and closure After
care
MineBIM
Mine Information Model
(MIM)
MIM building blocks
Tunnel interior
construction
BuildingBIM
Modeling guidelines and information classifications.
OpenBIM
principle:
Common data transfer format: IFC
“PIM = Project Information Model”
Tunnel
exterior
modelling
GeoBIM
Tunnel
extraction
TunnelBIM
Earthworks
and
opencast
mining
InfraBIM
Mine life cycle
data sources: “Big data” storage “Big data” storage
“Big data” storage
Information level
Modelling level
Model level
© Jyrki Salmi 2024
University of Oulu
Etc.
Model contents and connections
Telemetry
information Process
information More detailed
historical data Maintenance
manuals
MIM = Mine Information Model
Etc.
Connected dynamic information
“PIM = Project Information Model”
=
1. Geometry
2. Object properties
3. Recent relevant history
4. …
Information Model
B
Building Machine
Tunnel
Road
Engine
Crusher
Drilling jumbo
Block model
Hole
Asset
House
Facility
Construction project
Factory
Mill
Rock formation
Pipeline
Shaft
Mine Silo
Wireless network
=
Dam
© Jyrki Salmi 2024
University of Oulu
Further applications of BIM
From digital models to digital twins
BIM
CAD
Digital Model
Digital
object
Physical
object
Digital Shadow
Digital
object
Physical
object
Digital Twin
Digital
object
Physical
object
Manual
data flow
Automatic
data flow
Management of Dynamic information
Simulations
Automation
Machine control
© Jyrki Salmi 2024
University of Oulu
Conclusion and key takeaways
BIM in mining
Technological
Advancements
BIM is
transforming the
mining industry,
and the next
generation of
digital solutions is
on the horizon.
Enhanced
Communication
BIM facilitates
collaboration and
effective
communication
between mining
professionals on
projects.
Improved
Efficiency
BIM has
enormous value
in increasing the
efficiency and
quality of mining
workflows.
Future potential of BIM in the mining industry
The industry is only scratching the surface of what BIM can do.
From automated mine planning to real-time asset tracking,
BIM can also improve mine safety by conducting simulation
exercises before a project starts.
BIM facilitates the integration of digital twin (DT)
and artificial intelligence (AI) technologies.
BIM can play a role in adapting mining
to sustainable development goals.
BIM facilitates the integration of digital twin (DT)
and artificial intelligence (AI) technologies.
Automation, machine control and machine learning integration.
Extended realities and simulations.
Predictive analytics for proactive decision-making.
© Jyrki Salmi 2024