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Moving towards the digital mining
operation
Enabling integrated, continually optimising operations
John Kirkman
July 2019
erditestlab.com
Dispatching
Detailed Scheduling
Tracking
Execution Management
Resource Management
Resource Management (ore body blasting & extraction
actuals)
Mine Planning/Scheduling
Geology, Design, Ore Body Knowledge
State of Entire Operations (Material Equipment,
Personnel)
Fleet Management
Execution Management
Fixed Plant Management
Operations Management vs Physical Processes
Physical Processes
Drilling
Execution Management
Sample Analysis Management
Sampling and Analysis Digging HaulingLoading Dumping
Charging Blasting Dozing Surveying Crushing/milling Conveying
Separation
Etc. etc.
Physical Processes
Drilling Sampling and Analysis Digging HaulingLoading Dumping
Charging Blasting Dozing Surveying Crushing/milling Conveying
Separation
Etc. etc.
Top Value Drivers• Effectiveness –
Executing the physical process to quality expectations
• Efficiency –Executing the physical process efficiently
Example• Truck takes material
from the right source to right destination every time
• Truck moves material at optimal rate for sustained periods
Outcome • Material Grades and
Qty’s meet scheduled targets
• Targets achieved for lowest cost at optimal rate/lowest overall time achievable
Physical Process/
Equipment Automation
Dispatching
Detailed Scheduling
Tracking
Execution Management
Resource Management
Resource Management (ore body blasting & extraction
actuals)
Mine Planning/Scheduling
Geology, Design, Ore Body Knowledge
State of Entire Operations (Material Equipment,
Personnel)
Fleet Management
Execution Management
Fixed Plant Management
Execution Management
Sample Analysis Management
Operations Management /
Automation
Top Value Drivers• Effectiveness – Defining the
optimal use of material, equipment and personnel to meet market demand
• Efficiency – Minimising opportunity loss through tight optimisation execution
Example• Schedule optimises for blends at the
lowest possible target quality spec, with best use of ore body, downstream material and equipment
• Publishes new schedule whenever more optimal opportunity presents.
Outcome • Lowest cost mining• Most value out of ore
body• Lowest environmental
impact with existing infrastructure
• …
Schedule Execution
Inventory Accounting
Sample Analysis
Medium Term Mine
Planning(budget)
Long Term and/or LOA Mine Planning
Financial Accounting and Reporting
Exploration and Modelling
Digital Twins
Process Control
Production Scheduling
Short Term Mine Planning
Reserving
Production Geology
Modelling
Mine Design
Operations Management Automation
– A Complex Problem Space
Reports/ Analytics
Dispatching
Detailed Scheduling
Tracking
Execution Management
Resource Management
Resource Management (ore body blasting & extraction
actuals)
Mine Planning/Scheduling
Geology, Design, Ore Body Knowledge
State of Entire Operations (Material Equipment,
Personnel)
Fleet Management
Execution Management
Fixed Plant Management
Execution Management
Sample Analysis Management
Example –Interoperable Execution Management
Role of Execution Management • Management/coordination of all activities to deliver optimally
against schedule targets.
• Reporting/Communication of progress of activities against schedule
Execution Management
Fleet ManagementEmail/xlsSchedule
Limited use of decision support for meeting
schedule
Email/xlsActuals/Replicate Database by time
• FMS Before
– FMS don’t receive daily/shift schedules electronically.
– Limited real-time decision support to hit plan targets
– provide actuals information in batches to other systems rather than based upon production events i.e. truck cycle completed, truck loaded, drill pattern drilled; often reporting still done manually.
– are not designed to integrate reliably. Messages are often lost.
– components are not interchangeable between vendors.
– Charge and Blast Execution Management Systems are not mature and don’t provide actuals electronically to other systems.
– Unreliable communications to/from onboard systems.
Example –Interoperable Execution Management
• Interoperable FMS
– Electronically Receives Schedule.
– FMS is schedule aware.
– FMS able to automate FMS shift set up and equipment assignments.
– FMS provides real-time decision support for controller based upon optimising for schedule target.
– FMS sends actuals based upon production events i.e. truck cycle complete.
– FMS Supports 100% reliable messaging.
– FMS is supports standards based interoperability with any other vendors software.
– FMS could support more of the operations i.e. drilling, blasting, drones, etc.
– Seamlessly works with manual and automated fleets.
Schedule Actuals
Empowered to execute optimally against schedule.
Execution Management
Fleet Management
Example –Interoperable Execution Management
Challenges
Complex domain with limited experienced specialists globally
Complex Stakeholder Vendor Mix by nature
Limited Investment by industry to date
Limited understanding of true value
Limited avenues for education of the workforce (technical and operational)
Can’t be solved by a single component of technology /vendor
AMIRA P1208 & UWA Industry 4.0 Energy
and Resources Digital Interoperability
Testlab
Enabling integrated, continually optimising operations
John Kirkman
July 2019
erditestlab.com
INDUSTRY 4.0
The Smart Factory, Digital mine, Digital Oil Field/Refinery
An operating paradigm which is integrated, highly automated and continually optimising.
Digital Twins, Smart Sensors/IIoT, AI, Cloud Native software, IT/OT technology convergence.
Will deliver the significant bottom line business value across all industries.
Common technology constraint – Requires open standards based interoperability between I4.0 technologies.
I4.0 IN
AUSTRALIA
• Industry Growth Centres
• Prime Ministers Task Force on I4.0
• I4.0 Test Lab Scheme
UWA I4.0 ERDi
Test Lab
Origins
Oct. 2017
NERA Process Automation Study Report Published
Dec. 2017 –June 2018
Held information sessions and workshops in Perth and Adelaide for Mining and Oil and Gas companies.
June 2018
AMIRA International and UWA project partners
Sep. 2018
AMIRA P1208 EOI released to AMIRA members
Oct. 2018
Submitted UWA i4.0 ERDi Test Lab Grant Application
Dec. 2018
Test Lab Grant awarded
Sep. 2019
Lab Construction Complete and Lab Operational
UWA i4.0 ERDi
Testlab
Overview
The UWA I4.0 ERDi Testlab is an open access facility devoted to accelerating the adoption of Industry 4.0 technologies in Australia’s
energy and resource sectors through the development and demonstration of Standards-based, secure, interoperable process
control and automation.
The UWA I4.0 ERDi Testlab is a collaboration between the University of Western Australia, the Department of Industry, Innovation and
Science, AMIRA International, Enterprise Transformation Partners and South Metropolitan TAFE.
The UWA I4.0 ERDi Testlab is one of five Testlabs that will be established at Australian universities in 2019. Each Testlab provides
innovation support for small and medium enterprises in priority industry growth sectors and builds the skills required to capitalise on
technological opportunities presented by Industry 4.0.
UWA I4.0 ERDi TestLab Goals
Standards Research and Development
Interoperability Proof of Concept Projects
Interoperable technology showcasing with real operational data
Education and Workforce Enablement
Official Independent Technology Conformance Testing
UWA I4.0 ERDI TESTLAB CAPABILITIES
Contact Information
Eric May
Jill Stajduhar
John Kirkman
Sponsors
Australian Government,
Department of Industry,
Innovation & Science
The University of Western
Australia
Enterprise Transformation
Partners
South Metropolitan TAFE
Sponsors & Contact Info
How to
get
involved
• Contact Cameron Bowden UWA I4.0 EDRi Test Lab Engagement Lead [email protected]
• Register Interest via the ERDI website www.erditestlab.com
• Look to become a member of the Open Process Automation ForumOPAF Director - Ed Harrington [email protected]
Next Steps
