Final report of the workshop series Next Generation Mining (NG Mining) project Mining and extraction information modeling workshop series Workshops 1-6

Abstract

Final report of the workshop series Next Generation Mining (NG Mining) project Mining and extraction information modeling workshop series Workshops 1-6

Full text

Final report of the workshop series
Oulu 24 November 2022
Jyrki Salmi, Rauno Heikkilä
Version 1.0
PUBLIC
Construction and Civil Engineering Research Group (CIV)
Next Generation Mining (NG Mining) project
Mining and quarrying information modeling workshop series
Workshops 1-6
Machine Translated by Google

3. Results of the workshop series
3.9 Presentations held during the workshop series
4.7 Data transfer formats
3.7 Comments, observations and thoughts presented during the workshop series
1.3 Arrangements
4.5 Modeling instructions
2
1.1 Background
3.5 Results of group work
4.3 About modeling
3.10 Presentation of the results of the workshop series
4.8 Cloud services and their use
4.12 Proposals for further action
Table of contents
3.3 Evaluation of the coverage of the parties invited and participating in the workshop series
4.1 General information about the workshop series
4.10 Collaborators for further development work
2. Implementation of the workshop series
3.8 Internet links that appeared during the workshop series
4.6 Nomenclatures
3.1 Those invited
1.2 Purpose
4.4 MiningBIM possibilities
3.6 Results of discussion sections
APPENDICES
1 Introduction
3.4 Results of surveys
4.2 Starting points for information modeling
4.11 MIM's further development activities
3.2 Participants
4. Conclusions from the workshop series
4.9 Standardization needs
Machine Translated by Google

1 INTRODUCTION
20.10.2022, a series of six workshops in total to prepare the start of the creation of the Tunneling & Mining Information Modeling
concept (TIM&MIM). In Appendix 1-2 there are brochures prepared for the workshop series in Finnish and English, which were attached
to e.g. for all workshop invitations.
1.1 Background
benefits and challenges achieved in other fields,
The possibilities for creating a unified data model-based digital concept and operating environment for the mining and
quarrying sector already exist using today's technologies. The development of the concept is made possible by the scope and
funding of the NG Mining project, as well as a sufficiently broad and innovative group of representatives and developers from the most
important identified parties related to the mining and quarrying industry and information modeling.
• sparks a discussion about the needs and goals of information modeling in the mining and quarrying industry, and
In 2021, an extensive Next Generation Mining research project funded by Business Finland and industry was launched in Finland, where
the focus was on enabling the safe, sustainable and productive use of autonomous and networked mobile machines in
underground mining. As part of this research project, which continued until 2023, the need was identified to start researching and in the
future also to develop an open information modeling concept suitable for the entire mining and quarrying industry and its utilization
process.
• acquaint the operators of the mining and quarrying industry with information modeling and its possibilities,
• gather together already accumulated experiences and best practices in information modeling and evaluate
The starting point for the research carried out in the workshop series was the understanding, based on preliminary investigations,
that the mining and quarrying industry in Finland lacks a unified information modeling method of operation. Data and
information do not necessarily still flow completely unhindered, for example in the mining sector, from ore exploration to the feed of the
concentrator, or similarly, in the mining sector, from geology to the maintainers of ready-to-use rock facilities. Nor has a corresponding
method of operation in the world, especially in the mining sector, been found yet, in contrast to the fact that there are already indications
of it from the tunnel excavation side. From a Finnish point of view, Louhinta&KaivosBIM would therefore currently be at the
forefront of research and development of both sectors in question worldwide.
On this basis, the possibility of even creating a completely new information ecosystem for the mining and quarrying sector is based on
the increase in the number of automated and autonomous machines that are currently developing at a fast pace and the
construction of the digital infrastructure required for their effective utilization throughout the entire life cycle of mining
and quarrying operations.
The main goal of the workshop series was to create a starting point for the new and open TIM&MIM concept and its future further
development, based on the consensus of representatives of the mining and quarrying industry. In addition, there were other goals
1.2 Purpose
3
Due to this, the University of Oulu organized as part of the research project in question during the year 2022, 24.3.-
• find out the possibilities, capabilities and willingness to start drafting joint data modeling guidelines/guidelines for the mining and
quarrying industry after the workshop series, for example as Business Finland's co-innovation project.
Machine Translated by Google

especially the representatives and experts of key players in the Finnish mining and quarrying industry and information modeling industry, who
were able to bring their valuable expertise and experience to the researched topic
Six three-hour morning sessions were chosen as the implementation method of the workshop series, all of which were held online as webinars,
i.e. remotely, during the year 2022, once a month starting in March and always on the last Thursday of the month from 9 am to 12 pm,
July-August excluding Figure 1.
for the discussion and development work initiated in the workshop series.
The material from the workshop series will be used anonymously in research work at the University of Oulu, and it will also be used
as research material for research articles and doctoral research.
The implementation of the workshop series, the processing of the results and the reporting were responsible for the University of Oulu,
Building and Community Engineering Research Unit, Digital Construction and Mining Research Area.
4
The target group of the workshop series was, except for all the representatives of the participating companies of the NG Mining project,
1.3 Arrangements
Figure 1. Meeting times of the workshop series.
Machine Translated by Google

Figure 2. The main themes of the workshop series.
2. IMPLEMENTATION OF THE WORKSHOP SERIES
The workshop invitation also often had an online link (workshops 1, 3, 4 and 5) to the pre-questionnaire according to the workshop
theme implemented with the Webropol program, the results of which were then presented to the participants during the workshop.
• Introductory presentations
The instructors of the workshop series are from the University of Oulu, both research director and doctoral researcher Jyrki Salmi and professor
Rauno Heikkilä. The workshop series covered the following subject areas as workshop themes, Figure 2.
o The objectives of the workshop series
o Invited and participated in the workshops
5
o Method of implementation of the workshop series
o Mentimeter platform; survey according to the workshop theme
o Miro platform; planning task as a group work according to the workshop theme
o Workshop series materials
• Closing the workshop
The workshops were implemented according to the basic formula below, table 1, which of course also had variations depending on the workshop.
• Pause
• Opening of the workshop
Table 1. Basic formula of the workshops in the workshop series.
• Workshop working section
All events of the workshop series were organized remotely online via Microsoft Teams. The spoken language of the workshops was
Finnish, but the presentations were also given in English. Invitations to all workshop events were sent by e-mail well in advance of the
events, and the invitations were updated with current information about a week before the start of each workshop. The invitations always
included the brochures of the workshop series prepared in Finnish and English as attachments, which contained additional information
about ideas and further plans related to information modeling in the mining and quarrying industry. The invitation to the event usually also
included preliminary information links to websites corresponding to the workshop theme, which you could familiarize yourself with
in advance if you wanted.
o The results of the last preliminary and feedback survey
Machine Translated by Google

5. Example of using a contractor; Mika Jaakkola (Destia)
Palviainen (Novatron)
in terms of quality assurance; Mika Jaakkola (Destia)
28. Equipment supplier perspective; Joni Niskala (SR-O)
3. The potential of information modeling solutions in the mining and quarrying sector; Jyrki Salmi (University of Oulu)
12. The needs and challenges of the TATE nomenclature; Markus Järvenpää (Granlund)
guidelines)
geoservices)
30. Machine control and future information management at the construction site; Miika Kostamo (Arkance-systems)
6
1. Background and goals of the workshop series; Jyrki Salmi (University of Oulu)
10. Title-level draft presentation of modeling instructions for the mining and quarrying industry; Jyrki Salmi (University of Oulu)
18. The status of IFC-Tunnel; Prof. Dr.-Ing. André Borrmann (Technical University of Munich)
14. Management of nomenclature - Case Posiva; Sanna Mustonen (Posiva)
21. Data modeling examples in the mining and quarrying industry; Jari Haapala (Afry)
25. Information modeling; Jiri Hietanen (Datacubist)
29. Utilization of the information model in the mine or the perspective of the System supplier; Kari Myllyniemi
32. Infrakit cloud service; Visa Hokkanen (Infrakit)
A significant amount of the tacit knowledge received from the participants during the workshop series was collected through
the introductions of the introductory presentations. All introductory presentations are reported in the workshop report of
each workshop. In the presentations of the workshop, each performer presented their own presentation to all participants through
the screen they shared. During the entire series of workshops, there were a total of 39 people who gave a total of 52 presentations.
All the presentations held in the workshop series are listed in table 2 below , and also broken down by workshop and performer in
appendix 3.
8. Path to autonomy and data modeling of the mine; Kari Myllyniemi (Hexagon)
16. Title-level draft presentation of the nomenclature of the mining and quarrying industry; Jyrki Salmi (University of Oulu)
23. VoxelNET; Charlotte Sennersten (CSIRO)
4. Modeling guidelines for the infrastructure sector YIV2019; Miika Kostamo (Novatron)
13. The importance of the InfraBIM nomenclature in open infrastructure modeling and automation; Peter
20. Utilization of formats from the perspective of contractors and the benefits of the construction process and
27. Shotcrete process data in underground information modeling; Panu Oikkonen (Normet)
6. Reform of the YTV2020 modeling guidelines; Anna-Riitta Kallinen (Arkcon)
2. Information modeling in the building and infrastructure sectors; Rauno Heikkilä (University of Oulu)
19. Open Mining Format OMF – a brief overview and update on plans; Andrew Scott (Global Mining
11. The current situation of infrastructure construction nomenclature in Finland. Experiences in construction nomenclature qv.
standardization; Juha Liukas (Sitowise)
26. Structure, modeling and use of geological information in mine planning; Jyri Meriläinen (Taiga
33. Cloud service environments in model-based planning and implementation of infrastructure and tunnel projects; Petri Louhi (Arkance-
Systems)
Table 2. Presentations given during the workshop series.
9. Composite model and collision checks; Matti Jaatinen (Solibri)
17. Information components of the building and definition of information exchange; Tomi Henttinen (Gravicon)
24. Future technologies; Niko Haaraniemi (Novatron)
31. Information models and cloud services; Teemu Nivell (Vektor.io)
7. BuildingSmart and standardization practices; Annina Lehikoinen (Building Information Foundation)
15. Sampo; Heini Soininen (YIT)
22. Common data transfer formats in the mining industry; Petteri Somervuori (WSP)
(Hexagon)
Machine Translated by Google

38. Process description of the information modeling project of the soil and bedrock unit; Tero Saastamoinen (Helsinki
46. Presentation of opinion; Petteri Somervuori (WSP)
35. SmartDrawings; Niko Vironen (Sweco)
43. Presentation of opinion; Mika Jaakkola (Destia)
44. Presentation of opinion; Aki Pekuri (Tapojärvi)
52. Starting the Infra FinBIM project; case example; Rauno Heikkilä (University of Oulu)
During the workshop series, the Mentimeter program, which also works online, was used a lot in the workshop working sections as
a common working platform, with which the participants could be effectively activated throughout the event with common
questions intended for everyone, and the opinions of all participants could be collected and presented equally. For this, the
participants always log in at www.menti.com with the code given at the beginning of the workshop to the existing survey. The
workshop questions were then reviewed individually and collectively at the same pace, so that the answers given by each participant
first on their own machines were also immediately visible to all participants through the screen shared by the workshop instructor.
36. Information modeling practices of the Finnish Railways Agency; Marion Schenkwein (Railway Agency)
In the workshop working section, in addition to Mentimeter, the online Miro program was used to some extent, which allowed all
participants to work simultaneously on the same drawing table and e.g. to carry out various planning tasks. For this, the participants
logged in at www.miro.com using the given link in order to get together to work there on previously prepared tasks.
41. Presentation of opinion; Jaakko Ihanus (Outokumpu)
49. Presentation of opinion; Juho Laitala (GTK)
50. Presentation of opinion; Sanna Mustonen (Posiva)
34. Modeling of the Kaita metro station; Jarkko Aittoniemi (Sweco)
42. Presentation of opinion; Janne Isomäki (YIT)
51. Presentation of opinion; Tarmo Savolainen (Railway Agency)
city)
47. Presentation of opinion; Juha Halonen (Afry)
Free discussion was allowed and desired in all workshops throughout the workshop series. The discussion was also asked
to take place especially in the discussion section of the Teams event, where participants were asked to write as many questions
and comments as possible, as well as in the free question sections presented in the Mentimeter program. Teams chat
conversations were recorded in the workshop reports as they are. The questions raised in the workshop discussions, for
which there were no answers yet, were recorded in the workshop reports and an effort was made to get answers to them in
the preliminary or feedback surveys of the following workshops. Likewise, the web links that came up in the workshop
discussions were saved in the workshop reports separately in their own subsection, and some of the documents behind them
were also stored in the material folders of the joint Teams group.
40. Presentation of opinion; Juho Torvi (Terrafame)
39. GTK's data modeling practices, regional rock petrogeology and mineral deposits; Juho Laitala (GTK)
48. Presentation of opinion; Jari Kainuvaara (bSF, Novatron)
In the workshop working section, the answers to all questions prepared in advance were recorded in the workshop reports,
where they were summarized and conclusions based on them.
7
37. Skycatch data hub; Joni Niskala (SR-O)
45. Presentation of opinion; Jami Kangasoja (Forcit)
Machine Translated by Google

can be found. People were added to the group in the Quest role based on the information from the Teams event participation report.
The Teams group was originally created for this series of workshops, but it can be used later for other related topics as well.
Also stored there are e.g. material that appeared online during the workshop series. The owner of the group is the University of
Oulu (Jyrki Salmi).
All workshops were videotaped using Teams and event recordings were saved for workshop documentation and research
purposes. Similarly, participant data could be recorded from each workshop with the help of Teams' own reporting for
statistics and for the workshop instructors' own research use.
(Tunnelling & Mining BIM), from which all the materials related to the workshop series would be later
8
A separate written report with attachments was prepared for each workshop, all of which were saved in the folders of the
Teams group of the workshop series, and also sent by e-mail to all the participants in that workshop.
participants were added to this Teams group intended for all participants in the workshops
After the workshop, a feedback survey implemented with the Webropol program was sent twice (workshops 2 and 3) the week after the
workshop to all participants of the workshop.
to the own folder of the Teams group (Tunnelling & Mining BIM) created for the workshop series, figure 3. The presentation materials of
the workshops were therefore not sent afterwards to the participants of the workshops. All for the events of the workshop series
The recordings and all the materials of the presentations held in the workshops and other outputs of the group work were attached
Figure 3. The main page of the Teams group (Tunnelling & Mining BIM) created for the workshop series.
Machine Translated by Google

3. RESULTS OF THE WORKSHOP SERIES
3.1 Those invited
company or community.
- Rock farm operators (5 pcs)
- Rock planners (11 pcs)
101 people, people belonging to the NG Mining project
Rock and mining builders and contractors (7 pcs)
134 people, people outside the NG Mining project, who represent mining and quarrying
235 people, total invited to the workshop series
All the participants of the NG Mining project were invited to the events of the workshop series, as well as a limited but wide group
of people from companies outside the NG Mining project, who represented key experts and influencers of the mining and quarrying
industry and information modeling in Finland. In this case, the basis for receiving the invitation was therefore representativeness
from different sectors of the mining and quarrying industry rather than professional expertise in a traditional area of expertise in the
industry. The named recipient of the invitation could if he wished
- Mining companies (11 pcs.)
An invitation was sent by e-mail to the representatives of the participating companies belonging to the NG Mining project with
the project's general all-distribution. Participating companies were: Nokia, Sandvik, VTT, University of Oulu, Epec, Satel, Huld,
Terrasolid, Etteplan, Noptel, Unikie, Iiwari, Millisecond, Wizense and Indagon. People from companies outside of the NG Mining
project were also widely invited to the workshop events, representing key experts and influencers from various categories in the mining
and quarrying industry and information modeling in Finland, table 4.
-
- Mineral exploration and project companies (6 pcs.)
Table 4. Persons invited to the workshop series.
Table 3. Organizations represented by people who received a workshop series invitation in different categories.
- Consultants (8 pcs.)
Table 5 lists all the companies or organizations invited to the workshop series in different categories. Appendix 4 also shows all the
companies and organizations that received a workshop invitation in alphabetical order.
• Participating companies or entities external to the NG Mining project (69 pcs.)
• Companies participating in the NG Mining project (15 pcs.)
- Representative communities (12 pcs)
key experts and influencers in the field and information modeling
9
still appoint a substitute person for the workshop by sending the invitation yourself. Table 3 lists the organizations represented by the
persons who received the invitation to the workshop series in different categories, a total of 84
- Technology and equipment manufacturers (9 pcs.)
Machine Translated by Google

9 University of Oulu
Table 5. All companies or communities invited to the workshop series in different categories.
Technology and equipment manufacturers:
9 Oulu Mining School OMS
11 Ramboll
7 Nordkalk Oy Ab Parainen mine
Rock designers:
4 Etteplan
5 Novatron
10 Terrafame Oy Sotkamo mine
5 Oy Kati Ab
Mining companies:
2 Western Metro
4 Elementis Minerals Sotkamo mine
3 Huld
13 Unikie
3 Forum for Intelligent Machines FIMA
4 SRV
5 JHy Consulting
Representative communities:
2 Anglo American Sakatti Mining Oy
8 Tiewise
6 Milliseconds
3 Posiva
4 Pyhäjärvi Callio Lab 5
Väylävirasto
Rock and mining builders and contractors: 1
Destia 2
E. Hartikainen Oy 3
Skanska
2 Building Smart Finland bSF
4 Keliber Oy
15 Wizense
8 Noptel
12 University of Applied Sciences KAMK
4 ExControl
9 Sotkamo Silver Oy Sotkamo mine
3 Arkance systems
4 Normet Oy
6 Mining liability
3 Dragon Mining Oy Jokisivu mine
12 Terrasolid
2 Etteplan
1 City of Helsinki
2 Infrakits
7 YIT
8 X3 Advisors
1 ADC Arctic Drilling Company Oy Ltd
5 Indagon
7 Rock planning Rockplan
4 Iiwari
2 A engineers
1 Aalto University
14 VTT
7 Nokia
2 Boliden Kevitsa Mining Oy Kevitsa mine
11 Sat
1 Epec
3 Hannukainen Mining Oy
11 Safety and Chemical Agency TUKES
3 Datacubist
8 Outokumpu Chrome Oy Kemi mine
Mineral exploration and project companies:
6 Gravicon
7 Finnish Construction Product SR-O
7 Taiga Geoservices
5 Mining Industry Association
Rock farm operators:
8 Mining Finland
10 WSP
9 Vector.io
1 IMA Engineering Ltd Oy
6 First Quantum Minerals Pyhäsalmi mine Consultants:
6 Veljekset Toivanen Oy
10 Finnish Association of Construction Engineers RIL
1 Arkcon
1 Afry
3 Leica
2 Cybercube
10
4 Geological Survey of Finland GTK
6 Vulcan Hautalampi Oy/FinnCobalt
10 Sandvik
NG Mining:
1 Agnico Eagle Finland Oy Kittilä mine
5 Tapojärvi Oy
6 Solibri
11 Yara Suomi Oy Siilinjärvi mine
5 Granlund
6 Oy Forcit Ab
7 Underground facilities construction association MTR
9 Sweco
5 Endomines Oy Pampalo mine
8 Ark
Machine Translated by Google

3.2 Participants
33 Building Information Model
3 Arkance systems
Millisecond
11
Nokia
5
23 Infrakits
38 Skanska12 Forces
30 Novatron
48 The Toivanen brothers
TUM
52 YIT
44 Technical University of Munich
2
20 Huld
2 Agnico Eagle
10 Etteplan
59
Granlund
9
56
24 KAMK
16 GTK
7 Datacubist
Building Information Model
63
Millisecond
58
26 milliseconds
43 Tapojärvi
9 Elementis
Newfactory
The Finnish Railways Agency
8
47 Vector.io
41 Sweco
29 Norms
Arkco
62
19 Hexagon
36 Sat
1 Afry
1
5 Boliden
University of Oulu
55
51 WSP
6 CSIRO
15 Gravicon
28 Nokia
40 SR-O
Tapojärvi
57
42 Taiga Geoservices
8 Destia
18 City of Helsinki
35 Sandvik
Table 6. Companies or organizations that participated in the workshop series.
25 Mexlink
Rockplan
7
46 Unikie
50 Railway Agency
14 Granlund
32 Posiva
VTT
GMG
61
Table 7. Persons who participated in the workshop series and the companies or organizations they represented.
Hexagon
4
37 Sitowise
4 Arkcon
22 Indagon
Agnico Eagle
Nokia
45 Terrafame
39 Solibri
27 Newfactory
6
Solibri
VTT
60
A total of 107 people from the aforementioned companies and organizations participated in the workshop series, which are
listed in table 7 below.
34 Rockplan
A total of 52 companies or organizations participated in the workshop series, listed in Table 6 below.
17 Hannukainen Mining
Killing lake
10
49 VTT
13 Global Mining Guidelines
31 University of Oulu
64
3
21 Ima Engineering
11 ExControl
Machine Translated by Google

105
99
69
16
52
Forces
Boliden
76
30
23
Rockplan
VTT
University of Oulu
Vector.io
91
Taiga Geoservices
84
38
Forces
98
45
Sandvik
Millisecond
15
I don't plan
YIT
97
Sat
51
Killing lake
22
VTT
Sandvik 104
68
83
GTK
37
Datacubist
Afry
44
CSIRO
Ima Engineering
The city of Hensing
90
96
50
43
Mexlink
Afry
Nokia
103
21
67
Terrafame
14
The Toivanen brothers
Agnico Eagle
VTT
University of Oulu
75
29
Millisecond
89
36
82
The Finnish Railways Agency
Boliden
42
Norms
Tiewise
Sweco
88
13
102
University of Oulu
95
GTK
49
74
28
Nokia
Destia
35
University of Oulu
Skanska
Sweco
81
Elemental
41
87
34
Unikie
94
48
Agnico Eagle
Indagon
Afry
Sweco
Arkance systems
66
20
Infrared
Unikie
80
73
Agnico Eagle
27
12
33
Nokia
KAMK
A engineers
79
Afry
Nokia
86
40
65
Afry
19
WSP
12
101 GTK
26
72
Novatron
Huld
Positive
Building Information Model
Rockplan
78
25
Hannukainen Mining
University of Oulu
85
39
KAMK
32
YIT
Novatron
100
93
11
47
107
ExControl
71
University of Oulu
54
18
Nokia
24
University of Oulu
Nokia
106
70
SR - O
Novatron
Tiewise
31
77
46
Sandvik
Gravicon
Millisecond
92
Norms
53
Afry
17
Arkance Systems
University of Oulu
Machine Translated by Google

Table 8. Persons and companies or entities invited and participating in the workshop series, broken down by
workshop, and in addition to those who participated in the NG Mining project and other experts.
Figure 5 shows the number of new, that is, individual and business participants who did not participate in
previous workshops, divided by workshop. The first workshop naturally had the most new participants, and later
the numbers leveled off at around 10 new people and around 5 new companies per workshop.
13
Table 8 below and the following figure 4 show a summary of the companies that were invited and participated
in the workshop series and the persons who represented them. The number of participants was
decreasing from the first workshop to the last workshop in terms of individual participants, but in terms of
company participants there was an increase again towards the end.
Next Generation Mining
Participating companies and communities
94 94 93 110 100 101 102 114 118 120 129 134 196 208 211 230 229 235
20 21 16 14 16 15 33 24 22 25 18 19 53 45 38 39 34 34
8
7 7 8 23 21 16 19 16 18 30 27 23 26 24 26
People who participated
TP1 TP2 TP3 TP4 TP5 TP6 TP1 TP2 TP3 TP4 TP5 TP6 TP1 TP2 TP3 TP4 TP5 TP6
Invited persons
76
16 16 15 15 15 15 61 64 66 68 68 69 77 80 81 83 83 84
Industry experts and key personnel All in total
Invited companies and communities
Figure 5. New individual and business participants divided by workshop.
Figure 4. The number of participants of all persons and companies, divided by workshop.
3.3 Evaluation of the coverage of the parties invited and participating in the workshop series
Machine Translated by Google

14
Figure 7 shows the companies that were invited and participated in the workshop series by category from the nine
representative groups. The fewest company participants were from small mineral exploration and project companies, and
the most from rock designers, technology and equipment manufacturers, and the NG Mining project.
Figure 6 shows the persons who were invited and participated in the workshop series by category from the nine
representative groups. The fewest individual participants were from small mineral exploration and project companies and the
most from technology and equipment manufacturers, rock designers and the NG Mining project.
The creation of an open information modeling concept suitable for the mining and quarrying industry and its utilization process
within the framework of the NG Mining project greatly interested the convened target audience. The number of participants
was certainly positively affected by the opportunity to participate in events remotely. The participation coverage and access in terms
of invitations sent and participations were ultimately quite good, also taking into account the preparation and convening
schedule of the workshop series, which was about two months.
The interest in data modeling and the workshop series was probably also supported by the role of the University of Oulu
as a neutral implementer of the workshop series, as a processor of the results and as a reporter. This was also important from
the point of view that the information modeling concept would continue to be put together with the further development in mind
Figure 6. Persons invited and who participated in the workshop series, divided by category into nine representative
groups and sorted by participation from smallest to largest.
Figure 7. Companies invited and participating in the workshop series, divided by category into nine representative
groups and sorted by participation from the smallest to the largest.
Machine Translated by Google

15
The persons invited from companies outside the NG Mining project represented key experts and influencers in the mining and quarrying industry
and information modeling from separately defined categories. The basis of these categories was to ensure the representativeness of the
participants from different sectors of the mining and quarrying industry from a company/community perspective (mining companies,
prospecting and project companies, rock farm operators, rock and mine builders and contractors, technology and equipment manufacturers,
rock designers, consultants, representative associations), so that the widest possible consensus should be secured, especially
already at this stage of preparing the information modeling concept. So, in principle, the representation of individual persons has
not yet been sought at this stage solely on the basis of, for example, their professional expertise in one of the industry's
traditional areas of expertise, such as geology or planning.
During the workshop series, three feedback surveys were also organized, which focused on workshops 1, 2 and 3.
During the workshop series, five pre-surveys were organized, which focused on workshops 1, 2, 3, 4 and 5.
During the workshop series, five workshop surveys were also organized, which focused on workshops 1, 2, 3, 5 and 6.
Those who participated in the workshop in question were then sent an online link to the one implemented with the Webropol program
The time to convene these industry's toughest experts and specialists is only in the actual implementation phase of the data modeling concept in
the mining and quarrying industry after this series of workshops, when concretely we start to prepare common guidelines for the industry.
In that case, the workshop invitation had an online link to the pre-questionnaire according to the workshop theme implemented with
the Webropol program. There were a total of 84 respondents to the five preliminary surveys, and answers were received to a total of 42
questions. The answers to the questions of the preliminary surveys are reported in the workshop report of each workshop.
In that workshop, the survey was carried out via an online link as a group work using the Mentimeter program as a survey in accordance
with the workshop theme. There were a total of 117 respondents to the five workshop surveys
for the feedback questionnaire according to the workshop theme. There were a total of 28 respondents to the three feedback surveys, and
answers were received to a total of 30 questions. The answers to the questions of the feedback surveys are reported in the workshop
report of each workshop.
person and answers were received to a total of 103 questions. The answers to the workshop survey questions are reported in the
workshop report of each workshop.
a sufficiently broad and innovative group of representatives and developers from the most important identified parties related to the mining and
quarrying industry and information modeling.
During the workshop series, a significant amount of tacit information received from the participants was collected through various surveys.
3.4 Results of surveys
Machine Translated by Google

Table 9. The number of respondents and questions of the surveys conducted during the workshop series,
divided by workshop.
During the workshop series, three group works were organized, which focused on workshops 3, 4 and 6. In that workshop,
the group work was carried out via an online link as a group work implemented with the Miro program.
as group work according to the workshop theme. There were a total of 91 participants in the three group work sessions, and
answers were received to a total of 11 topics on topics to be considered in group work. The results of group work are reported
in the workshop report of each workshop.
• Data flow diagrams for information modeling in the mining and quarrying industry (Open pit, Maanalainen
16
A significant amount of the tacit knowledge received from the participants during the workshop series was collected through
various group works.
According to the table, a total of 229 people acted as respondents to the surveys, from whom answers were received to
a total of 175 questions posed during the workshop series, which were prepared according to the six workshop
themes.
Opportunities, Threats) and difficult questions related to Information Modeling,
• MIM and TIM organization models (Road map and vision, Development project work package sections,
Cooperation entities and organization).
• Information modeling of the mining and quarrying industry, four-field or SWOT analysis (Strengths, Weaknesses,
Table 9 shows a summary of the number of respondents and questions of the surveys conducted during the workshop series.
In the workshop questionnaires organized during the workshop series, the participants of the workshops were also asked
questions other than those strictly related to the theme of the workshop in question. These questions were usually discussed at
the beginning of each workshop as warm-up questions while practicing using the Mentimeter together. Appendix 5 summarizes
the self-descriptions of the participants of the workshop series. Appendix 6 summarizes the expectations of the workshop
series participants from the workshops.
ore mining, Tunnel mining) and
The topics of the group work were as follows:
3.5 Results of group work
Machine Translated by Google

3.7 Comments, observations and thoughts presented during the workshop series
3.6 Results of discussion sections
3.8 Internet links that appeared during the workshop series
3.9 Presentations held during the workshop series
A significant amount of the tacit information received from the participants during the workshop series was collected using the discussion
sections (chat) of the Teams event.
17
A significant amount of the tacit information received from the participants during the workshop series was gathered from surveys and group
work with the help of the participants' comments, observations and thoughts.
A significant amount of the tacit knowledge received from the participants during the workshop series was collected through
introductory presentations.
During all workshops of the workshop series, all written comments were collected together and reported in the workshop report of each
workshop.
During all the workshops of the workshop series, a continuous chat discussion was organized throughout the event.
During the workshop series, a significant amount of the tacit information received from the participants was collected through surveys and
group work from the internet links brought up by the participants.
In this case, the discussion was carried out using the chat function of Teams and the discussion was open to everyone for the entire
duration of the event. The discussions have been reported in the workshop report of each workshop.
The ones held during all the workshops of the workshop series have already been listed earlier in this final report in section
2.Implementation of the workshop series, as well as in table 2 and appendix 3. All presentations have also been reported in the
workshop report of each workshop and saved in the shared folder of the Teams group (Tunnelling & Mining BIM).
During all the workshops of the workshop series, all web links presented in writing were collected together and reported in the workshop
report of each workshop.
Machine Translated by Google

3.10 Presentation of the results of the workshop series
The results of the workshop series are also planned to be presented at the WMC 2023 (26th World Mining
Congress) event in Brisbane, Australia, in June 2023. The abstract of the conference article has been accepted to
be written in Full paper format and the writing work of the article has been completed under the title
"TUNNELLING & MINING INFORMATION MODELLING; A DIGITAL ENVIRONMENT FOR NEXT GENERATION
MINING”.
Other presentations and publications dealing with the results of the workshop series will also be prepared.
18
The results of the workshop series are also planned to be presented at the ISARC 2023 (40th International Symposium
On Automation And Robotics In Construction) event in Chennai, India in July 2023. The article is being written under the
title "Information Modeling Guidelines for the Mining Sector".
The results of the workshop series have been presented by the author of this final report (Jyrki Salmi) at the FinnMateria
2022 fair in Jyväskylä. FinnMateria is the Nordics' leading professional event for the mining industry, metal processing,
aggregates industry, circular economy and civil engineering. The presentation was held on the main stage of the fair on
27 October 2022 from 11:00 to 11:25 under the title "Information modeling in the Mining industry". The presentation is
attached 7.
Machine Translated by Google

4.2 Starting points for information modeling
4. CONCLUSIONS FROM THE WORKSHOP SERIES
4.1 General information about the workshop series
the need for gathering and learning in the mining and quarrying industry is great. Interest in understanding the subject
also exists in the mining and quarrying industry.
19
The expectations of those who participated in the workshop series are high in order to advance the wide-ranging and challenging
topic in the development of data models for future mining projects. Information related to information modeling
Data modeling is seen as an opportunity for high-quality mining operations, where geological information can be utilized by mining
machines in different work phases smoothly along with the ore flow, ensuring all interfaces and definitions all the way to the
concentrator. Broadly speaking, there is very little experience with data modeling of tunnels and other underground spaces.
The whole may have also been too broad and it has been difficult to understand. The following was suggested as a way to increase
the number of participants in the workshops and the attractiveness of participation: it is better to leave clinging to technical
details to fewer people and focus on larger problem areas and systems development visions and possible achievable benefits.
Good starters. Equipment manufacturers and infrastructure project designers included. Participants should also always
have a backup person ready if they cannot participate themselves.
In Finland, the mining and quarrying industry lacks a unified information modeling method. Also, there is still no equivalent
method of operation in the mining sector in the rest of the world. From a Finnish point of view, KaivosBIM and LouhintaBIM would
therefore be at the forefront of the development of the fields worldwide.
The reason for the decrease in the number of participants in the workshops is estimated to be people's rush, which is why they don't have time to participate.
The development of operations has not yet had time to extend extensively to the end of the process, i.e. maintenance/maintenance,
production, termination of operations and aftercare. In completely different fields than construction, the utilization
of technologies such as information modeling was identified to be, for example, in highway design and mechanical
engineering.
The conclusions have been collected and summarized from all six workshops of the workshop series and the key interpretations made
from the results of the surveys reported in each workshop report. These interpretations have been prepared in each workshop report by
making a short written condensed summary of the majority of the answers given to each individual question.
The evaluations describing their self-assessed knowledge modeling skills of the participants in the workshop have developed
in a favorable direction. The goal of the workshop series to increase knowledge based on data models, especially among representatives
of the mining and quarrying industry, is thus well justified. The goal of the workshop series regarding the usefulness of the workshops for
the participants themselves or, correspondingly, for the entire industry has been fulfilled. The goal of the workshop series, from
the workshops to increase the knowledge and understanding of the participants, has been fulfilled.
The following conclusions in sections 4.1-4.11 have been made by the author of this final report (Jyrki Salmi) based on the
background and starting points and results of the workshop series presented in the previous chapters.
In Finland, the utilization of data models is generally concentrated at the beginning of the process (initial data, planning,
construction), although the whole is clearly seen as a broader life cycle entity.
Machine Translated by Google

There is clearly a readiness for sharing the existing information and know-how related to information modeling in Finland.
On the other hand, the know-how is not necessarily very extensive yet, but it is intended to expand it within the framework of
the workshop series. The aim of the workshop series to increase knowledge based on data models, especially among
representatives of the mining and quarrying industry, is well justified.
20
In the mining and quarrying industry, various objects are now being modeled very widely and with varying degrees of accuracy.
Today, the mining and quarrying sector uses a wide range of different software for 3D modeling, but in addition, a focus on a
few mainstream software can also be seen. On the other hand, many software in use may also be used to patch the
shortcomings of other software's features. The number of viewing programs used in the field for the use of 3D models in the
mining and quarrying sector is quite extensive, and they are also used in companies to some extent in parallel.
The mining and quarrying sector clearly has an appetite for preparatory and research activities according
to this workshop series. The possibilities and capabilities of information modeling have also been clearly identified in the
mining and quarrying sector, even if the knowledge on the matter does not yet exist very comprehensively.
In mines, there may be some common principles in ore modeling among mines, but they are not widely known. It is good
to clarify this later in the actual working phase of the instructions. Actual uniform modeling naming practices are not
currently in use in the mining and quarrying industry.
The use of many different 3D modeling software used in companies is based on the fact that there are at least feature
deficiencies in the software, differences in needs between different departments/design fields, usage history, user habits and
competence problems.
The expectations related to information modeling in the mining and quarrying industry emphasize the importance and
relevance of cooperation, especially with regard to the development of information modeling, in order to achieve a
better end result with the help of common definitions and prepared standards. The need for information and
learning related to information modeling is great in the mining and quarrying industry, and there is interest in understanding it
and gathering new information on the subject. The potential of data modeling solutions in the mining and quarrying
sector is perceived as significant. It is seen to be needed in many different solutions in the mining and quarrying
industry and it is seen to enable savings and bring value to all parties involved.
Combination models and collision analyzes could be expected to be well utilized in the mining and quarrying sector.
However, in the case of mines and other underground facilities, collision inspections could rather be related to fitting into
the premises and sufficiently large access openings and routes.
The creation of an open information modeling concept suitable for the mining and quarrying industry and its utilization
process within the framework of the NG Mining project attracted a wide range of interest from the convened
target audience right from the very first workshop. The target audience had been successfully selected already in the initial phase.
4.3 About modeling
Machine Translated by Google

4.4 MiningBIM possibilities
The use of data models in machine automation is somewhat familiar to the participants of the workshop series, but in general not
very familiar. Bringing information modeling application objects to the fore, especially with regard to machine
automation, is important for arousing interest in information modeling.
In the field of mining, on the side of rock and tunnel construction, there are already some examples of information modeling in
Finland, and software for that has already been developed at some point. However, a broader experience base from
around the world is not known at least yet, but these should definitely be investigated in more detail in the future. However, in a
broad sense, the realized applications of data modeling are clearly still very few in quantity, both in the mining sector and especially
in the mining sector.
2) Motivation: Yes, it starts with someone taking the lead and acquiring the necessary funding from, for
example, mining companies.
The data models and their use in themselves are not very different from others, but how to get the raw data from the machines
to be exported to the data model without processing requires work. Mining is a process industry and Tunneling is contracting, both
of which have completely different drivers. Mining infrastructure is not necessarily made permanent, while Tunneling infrastructure
must last for years and still be serviceable. Mining includes the word ore, which determines the priority and the numerous sub-
processes that follow, while Tunneling is straightforward making a space in a rock.
3) Demonstrations of business benefit: Demonstration of benefit is often a good reason to adopt a new method.
The value of data modeling must be calculated from the perspective of the mines, in which case
development actors will certainly appear when the payer is known.
In the "Tunnelling & Mining" viewing angle, a special approach is required for e.g. things like the following.
1) Change management: As a general rule, there is always resistance to change, but if there is no desire to
develop, it will not develop. Change management must be fostered by all parties (customer,
design agency and contractor). If someone doesn't move the issue forward, it won't move forward.
First you need a goal and a model where to go.
It was also found that comparisons with other sectors are challenging in view of the needs of data management in the mining sector.
Concrete benefits in terms of information modeling were seen to be achieved in the mining and quarrying sector as follows: clarity
and efficiency for cooperation, common platform and compatibility of the operational stream, unity and standardization,
quality assurance, cost reduction, fully digital processes, correct and up-to-date information, visualization of the site
situation, information management and information increased utilization,
Change management, 2) Motivation and 3) Those shown by business benefit, can be brought up e.g. the following suggestions
as answers.
For more challenging questions related to the development and implementation of information modeling, such as 1)
21
The challenge of determining the underground location, especially in 3D modeling. Possible network coverage areas
underground. Peculiar machines, whose file formats and systems must be taken into account.
The most significant advantages/opportunities brought by BIM so far in the infrastructure and mining world were seen to be the
improvement of accuracy and quality, visibility, quantity calculation, streamlining of follow-up activities, simulations
and the ignition of the BIM spark in different parties. Concrete disadvantages (weaknesses/threats) as a professional in the mining
and quarrying industry were seen to be weak software skills in terms of information modeling, increase in work,
pointlessness of new instructions, correctness of the information used and insufficient understanding in the construction and use
of models.
Machine Translated by Google

The uniform methods used for modeling ores in mines and block models created based on models focus on the
possibilities offered by various commonly used software, which can however be well integrated if everyone follows industry
standards. However, each mine works in its own way and there are differences in the practices of different companies.
Other concrete benefits for the mining and quarrying sector in terms of data modeling include cost savings, a common
language and the possibility of calculating contracts when the model is built correctly. In addition, it can be used to visually show
what has been done, when and how, and to show what still needs to be done.
The goals/requirements set for the contractors regarding data modeling of the tunnel sections are at least the following:
comparison of actual data with the planned tunnel, bowling of shotcrete subsoilers as initial information for the modeller,
presentation of weakness zones based on a model and modeling of the actuality.
The mining industry should, however, be ready for a modeling guideline that is as uniform as possible, when one can be
prepared.
22
In the guidelines for the mining and quarrying industry, geological rock type information and the data produced and
processed in the production process and in work machines, as well as the rock support, are the most important issues to be
considered in the future development of the industry's data models in the first phase, but in addition, attention must be paid to
taking into account the time spans of the industry's operations. In the modeling instructions for information modeling in
the mining and quarrying industry, creating new and coordinating old existing functions will be challenging, and the industry
will be somewhat different compared to other industries.
Benefits in the form of time savings in information sharing, planning, implementation and maintenance were also seen as
important, as was improved material efficiency, predictability and quality monitoring.
The current modeling guidelines for information modeling in the building and infrastructure sector can be applied to
the mining and quarrying industry. However, due to the special characteristics of the mining and quarrying industry, the
modification needs can be large compared to the building and infrastructure industry. Source data and planning
are clearly seen as strengths in the current modeling guidelines. The special features of the mining and quarrying
industry are already identified at this stage, so that at the end of the process, the most significant changes and development
needs for the current guidelines are found. However, guidelines for the mining and quarrying industry already exist, but they are
in few hands, and it is essential to find out their background and usability for the future.
The tracking of identifiers, on-line data management and aspects that improve safety are also seen as benefits
from information modeling, as well as increasing digitality in the bidding process for mining and quarrying
contracts (contract quantity calculation) and monitoring during the contract, as well as the creation of contract documentation in
a digital model already during the contract. The use of digital design information to control semi-automatic or fully automatic
machines of the future was also seen as useful.
streamlining routines, improving problem-solving ability, enabling development, improving safety, improving planning and a
project bank.
The mining and quarrying sector will probably need two modeling guidelines for each sector separately. However, this should
be evaluated in more detail during the actual development phase of the guidelines and also utilize, for example, possibly
modularity. Also in the mining industry, two instructions may be needed within it, considering open pit mining. However, this is
also worth evaluating more precisely in the actual guidelines processing phase, for example with regard to
possible modularity.
4.5 Modeling instructions
Machine Translated by Google

4.6 Nomenclatures
There is interest in introducing unified nomenclature in the field based on other already existing nomenclature. In the creation of a uniform
nomenclature for the mining and quarrying industry, the nomenclature of other fields can be used as a basis. The best features of the
nomenclature of other sectors should also be used in the preparation of the nomenclature for the mining and quarrying industry. Also, for
example, the nomenclature covering the electricity sector and broadly serving the sector should at least to some extent be used as a model
when preparing the nomenclature for the mining and quarrying sector.
Uniform guidelines and practices in the mining and quarrying sector are generally recognized as already existing in large numbers. Even in the
field of mining and quarrying, nomenclatures already exist, but their use is not necessarily very precisely defined. The use of nomenclature
is quite extensive in the field, from the management of initial data to production work, but the use for machine control applications is still
quite limited. Today's starting situation regarding the nomenclature of the field is fragmented and based on different local practices.
Practices already exist for managing overlapping nomenclature in different fields. The nomenclature for the mining and quarrying
industry should be created together instead of being dispersed or referring to many other nomenclature. Linking the nomenclature of the
mining and quarrying industry should not be done except at the top level. However, efforts still need to be made to consider the interfaces of
nomenclature in relation to the mining and quarrying sector. It is not worth doing the work of defining the more detailed parameter data of
the nomenclature at this stage.
Data modeling nomenclature could be layered in such a way that the top-level machine language code name would be "locked", but human
language would have degrees of freedom in defining different call names, which could be added as parameters and possibly linked
together. The JORC and PERC standards for the definition of ore deposits contain geological nomenclature definitions or other modeling
guidelines. In the future, data models could also be a part of mining inspection or safety inspection processes or other
official inspections.
23
Data modeling for the use of nomenclature is basically already clear needs to maintain accurate and sufficiently high-quality production
operations. Uniform nomenclature could avoid many types of losses in the industry. An important goal of the nomenclature for the mining
and quarrying industry is to meet the machine readability criteria and support the requirements of digital information management
and information modeling in the mining and quarrying industry.
Only one uniform nomenclature should be prepared for the mining and quarrying sector. The hierarchy between the nomenclatures used in the
mining and quarrying sector should basically be determined at the local or national level.
The management of nomenclature in the mining and quarrying industry is very complex and there are many different practices for it. There are
no ready-made uniform nomenclature even for ores in the mining and quarrying industry.
A working group or project-based approach will be needed to coordinate the preparation and use of the nomenclature in the field, or it should be
given to another clear entity. Taking a model from international nomenclatures is important when creating the mining and quarrying industry's
own nomenclature. The development of the nomenclature of the field should be implemented, for example, with funding from Business
Finland and the support of research institutes.
Digital glossaries and dictionaries in the field of mining and quarrying were known to be at least the Tamrock Mining Glossary
and the Glossary of the Mining Industry Tailings and Tailings BAT Comparison Document.
An international nomenclature comparison should be made as a basis for the development of the mining and quarrying industry's own
nomenclature.
Machine Translated by Google

4.7 Data transfer formats
24
Many of the data transmission formats used in the mining and quarrying industry are closed, but there are also open
ones, depending on the software and equipment used. This is certainly worth investigating more in the future,
because there may also be differences in the definition of openness and closedness between assessments. Closed
(native or without input/output, without publicized schema, company/software specific) formats
were identified as being used (4 answers) in internal programs of different work machines and in different connectors.
It was also brought up that all information does not always necessarily transfer from one object to another,
regardless of the format.
Activities that cause the most unnecessary work in the mining and quarrying sector, which could be made
more efficient with common open formats, are e.g. temporary data interruptions in the various phases of
long projects, e.g. due to personnel changes, quantity measurement, determination of the quality level,
maintenance of condition data throughout the project, agreement on data integrations and formats, unnecessary
file translations/changes and corresponding extra work hours, redrawing of drilling diagrams and tunnel
lines with different manufacturers' programs, as well as different file formats and local using a coordinate system.
The use of the Iredes format in the mining and quarrying industry focuses on reading drilling plans
(Surpac) and drilling data (e.g. MWD data) from drilling rigs. Both Sandvik and Epiroc drill bits use the Iredes
format, so in principle they should be compatible. In practice, however, probably not due to implementations. The
programs used are at least iSure + Underground Manager. Iredes is maintained by the Iredes Foundation. It might be
worth finding out about the various data transfer formats/doing an international format comparison as a
basis for format work in the mining and quarrying industry.
In the opinion of most respondents, the potential for increasing open formats in the field from its current level
was estimated, but many think that even the current ones are doing well and special applications always need
their own. The effort to use only a limited number of different data transmission formats that serve several
different purposes (received the most support among the respondents.
The knowledge of information transfer formats in data modeling is clearly at a better level compared to the
nomenclature of the ones covered the previous time. In the mining and quarrying industry, there are problems
with data transfer between current software/systems. In the field, mainly drilling and mwd data, line and geometry
data as well as scans and point clouds are transferred for data modeling needs, but cross-sections, various diagrams,
precise measurements and block models are also transferable modeling objects. The most used data transmission
formats in the field are xml, dwg, ifc, dxf, pdf, iredes and inframodel, but at least a dozen different formats are
used in total.
Machine Translated by Google

4.8 Cloud services and their use
Companies use all different types of cloud services, of which private services are the most common, but also public ones and
their hybrid solutions are used a lot. Microsoft's Azure is the most used solution of all major cloud service providers in
companies. After this comes the cloud services of Google and Amazon.
The experiences of using cloud services on Finnish construction sites and in industry are diverse.
Cloud services on today's Finnish construction sites and industry are seen as a small but existent information security risk, if
and when information security is in order. Information security risks in companies have been taken into account, but
the common rules of the game must be fixed. The risks are typically user-created risks, but no abuses have been encountered.
However, the roles of the users must be clarified. You also have to be able to consider what information is put into cloud
services. Many planning and data management software also use cloud services for data storage.
Today, companies perceive cloud service solutions to be reliable or to be subject to little uncertainty. The vast majority
have confidence in the information security of cloud services, but some also have doubts.
In underground mining sites, the use is still low, but it is still growing. Existing cloud service solutions could also be well
applied in the mining and quarrying sector. Often, the construction site uses services specified by the customer, e.g.
Sokopro or a project's own cloud service.
Keeping site information in data models only behind the company's own firewalls is not considered appropriate
Real-time cloud service environments as a data transmission option for data modeling are familiar to the vast
majority of workshop series participants. There are already many cloud services connected to information
modeling on construction sites and in industry in Finland. These include e.g. Sokopro, Trimble, Vector.IO,
SmartDrawings, Infrakit and Leapfrog. Of these, the solutions from Infrakit and Trimble are probably the most used.
On the other hand, disconnection always causes problems in operational activities. It has been found that there are
cultural differences in attitudes towards cloud services and trust in them. From the point of view of the
company, the real danger/disadvantage caused by using cloud services is perceived to be in information security and
data management, as well as in the operations of users and the functionality of the cloud service itself.
25
The potential of using cloud services on construction sites and in industry is seen as very good or good.
In terms of the success of the implementation of the MiningBIM/TunnellingBIM concept, it is considered unavoidable
that cloud services can be utilized. In terms of cloud services, there would at least be subjects for further investigations
The identified problems of cloud services in the mining and quarrying sector or elsewhere mainly focus on the
usability of the services and the change in the way they operate. The use of cloud services is not perceived to increase
the vulnerability of the mining and quarrying industry, if, for example, information security is properly managed.
The use of cloud services is perceived to make end users' everyday life easier. Mostly the experiences have been
excellent or good, but there are also some varying experiences. There are good experiences with planning work and
work-time planning, and established practices can also be found from them. But there are also bad experiences. The
challenge is sometimes weak security management tools. The use of cloud services also requires a secure internet
connection.
necessary, if only identification and risk classifications are handled appropriately. With regard to various construction site
data, in order to be able to process them in cloud services, companies go to the limit in terms of contract and cost
information. Basically, all information must also be risk-classified. Demarcation of information processed in cloud services and
behind one's own firewall can be implemented as desired by segmenting data, carefully preparing risk
assessments and classifications, and taking care of audits and an approval mechanism for sharing data.
Machine Translated by Google

The commitment and investment of the Finnish mining and quarrying industry in the development of
standardization versions related to data modeling could be highlighted, for example, by inviting industry representatives to
participate in various development projects. The leaders of the development projects are also seen to have great value here.
The special features of the mining and quarrying industry that should be especially taken into account in cloud services
compared to services in other sectors are data transfer solutions, transmission of stone data from working machines,
management of positioning data, challenging operating conditions and strict time limits for the utilization of
data set by mining production. Connecting information models and cloud services together with digital twins (Digital Twins) is
seen as a good idea that could be applied especially in the production phase of mines in operational activities.
However, it is also important to be able to define what is meant by a digital twin in any given situation. Also in the mapping of the
big picture, regarding the Digital Twin projects, the customers' wishes for the mines must be clarified.
The uses and benefits of information modeling must also be explained to the representatives of the mining and quarrying industry.
There are no IP rights (Intellectual property, Intangible rights) that can be associated with information modeling. Hardly anyone
can protect and own the modeling itself.
The commitment of representatives of the Finnish mining and quarrying industry to the international standardization
processes of information modeling could be implemented, for example, as follows:
26
• by visiting and telling operators about the benefits that can be achieved on site, • by
training and education, • small projects
can still do with less, but large projects should be at the forefront of driving things forward, • through customer
requirements, • through the
mines' upper-level control systems and
interoperability desires, and • by demanding commonly used practices ( formats, processes, etc.).
pricing, possible exit from services and especially switching from one service to another. In addition, it is interesting
whether the development will only go to the comprehensive utilization of software families or whether an open arrangement is
preferred. In the development of cloud services in the mining and quarrying sector, the focus should also be on integrability with
other systems and the accessibility of the service.
4.9 Standardization needs
Machine Translated by Google

4.10 Collaborators for further development work
Sweden or Norway are currently not known to have a similar team in the mining and quarrying industry taking the
information modeling thing forward. LKAB has significant development projects underway, which may include
information modeling. Small or medium-sized companies also use data models and can be very advanced model
users and exploiters, for example measurement consultants.
The entity that coordinates the development of information modeling in Finland is Building Smart Suomi (internationally
called Building Smart International). However, no one is currently in the mining industry. A scattered group of
specialists focused on contracting and construction are driving the development forward.
Cooperation related to data modeling could be achieved in the field among different actors, for example as
follows:
27
data modeling days for infrastructure construction, which are popular. •
It would be good to create or join a standardization committee in the mining industry and start influencing there.
• Data modeling days, specifically for the mining and quarrying industry, because there is, for example,
From the point of view of goal setting, the development of information modeling in the mining and quarrying
industry seeks a unified operating method, concreteness and clarity. It is seen to be useful when looking for a new
direction for operations and taking advantage of new opportunities. The capacities to receive help and support in the
preparation phase of the new guidelines for the mining and quarrying sector exist. Some know-how probably already
exists within the industry, especially in the building and infrastructure sectors, and this know-how should then also
be utilized.
This is often something that Finns neglect and remain in the way when others change the world.
It would seem that information modeling has probably not been done in the mining and quarrying industry by other
parties either. Getting the right people involved in the MIM development work is seen to be reasonably
easy, and it is estimated that willing people can be found well and sufficiently extensively. This is especially the case if
the understanding and willingness of the company's management is achieved and direct or indirect benefits for the
operators can be determined. The vast majority of respondents were interested in participating in the development
work, at least in some parts.
Taking the development of the information modeling concept in the mining and quarrying industry towards an
international direction should take place after the series of workshops, i.e. at the end of 2022, at the earliest. In that case,
it could also be a good time to start preparing an international joint project to create a concept. Data
modeling in the mining and quarrying industry is seen as a big whole and a puzzle, the future structure of which is
expected, because the subject area is seen as good and current and there is certainly plenty of development in it.
Machine Translated by Google

4.11 MIM's further development activities
standardization is progressing and digitalization is included in the training from the beginning.
Further development of information modeling should be carried forward by defining the goal, road map and progress steps, planning
the overall architecture, starting the project preparation with Business Finland and looking for an active driving force and facilitator.
• Open data transfer formats are in use, mining companies order a model-based service, common
Mining operators, decision-making bodies, capital/owners/customers, buildingSMART Finland, Posiva, Väylä, contractors, designers, machine
manufacturers, IT companies, industry, authorities, research institutes and universities should be involved in the further development
work.
with the model-based operational model of infrastructure construction, and the terminology is consistent, using kv
vocabularies.
• in 2030, the mining and quarrying sector will operate on a model basis, the sector will operate in a compatible manner
The organization of the first meeting of the further development group of information modeling already in November-December 2022
received strong support among the participants of the workshop series. The first meeting of the further development group should be
coordinated and organized by either the University of Oulu or Building Smart Finland.
After the workshop series, the feeling and willpower regarding the further development of information modeling in the mining and quarrying
industry is strongly positive among the participants. There is support for the preparation of development work and further
development work among industry representatives. The chances of succeeding in the further development of information modeling in the
mining and quarrying sector are currently seen as good. Right now would seem to be the right moment to move forward in the development of
information modeling in the mining and quarrying industry.
28
A vision for information modeling in the mining and quarrying industry could be as follows:
Machine Translated by Google

4.12 Proposals for further action
APPENDICES
In the field of mining and quarrying, information modeling is a new topic and it requires a lot of clarification, understanding of the whole and
development of understanding by all parties, so that a common goal and a possible implementation plan could be found and understood. It is now
important to bring the existing know-how about information modeling to the fore in the field by as many different parties as possible, so
that a realistic situational picture of today's starting points can be created for the field. This means broad and open discussion, presentations and
interaction within the framework of the workshop series.
The following suggestions for follow-up measures have been prepared by the author of this final report (Jyrki Salmi).
The active participation of companies and communities in the activities of the workshop series is key to creating a comprehensive and
sufficiently multidimensional basis for the development of a unified and open information modeling concept that benefits the entire industry
and also improves every company that uses it
Appendix 3. Presentations given in the workshop series
Appendix 4. Companies and organizations that received a workshop series invitation
Appendix 6. Workshop series participants' expectations from the workshops
productivity.
In the mining and quarrying sector, based on the results of the workshop series, it is now important to find out the possibilities for creating
a consensus on the common information modeling basics of the sector. After the workshop series, the industry must be able to assess the
possibilities for launching a broad and unified co-innovation development project.
Appendix 7. MiningBIM, Jyrki Salmi, FinnMateria presentation 27.9.2022
Appendix 1. Workshop series 2022 brochure
29
Likewise, one must be able to assess the information and publicity needs of the subject at both the national and international level. There have already
been several hints and references about international working groups, groupings and their activities and reports related to information
modeling in the mining and quarrying industry, as well as various published guidelines and definitions, especially for the tunnel side. Bringing
these contacts to the fore and including them as part of the future preparation is of paramount importance.
Appendix 5. Workshop series participants' own descriptions of themselves
Appendix 2. Workshop series 2022 brochure
Machine Translated by Google