hugh whyte, nicta, australian challenges in the digital future
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8/6/2019 Hugh Whyte, NICTA, Australian Challenges in the Digital Future
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8/6/2019 Hugh Whyte, NICTA, Australian Challenges in the Digital Future
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Digital Futures 2011 Slide 2
8/6/2019 Hugh Whyte, NICTA, Australian Challenges in the Digital Future
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8/6/2019 Hugh Whyte, NICTA, Australian Challenges in the Digital Future
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Digital Futures 2011 Slide 4
Remote Operations
• Remote systems challenges
• Operations and control
• Collaboration and management
• Safety and maintenance• Industry sectors
• Logistics
• Mining
• Agriculture
• Infrastructure
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Digital Futures 2011 Slide 5
Remote Logistics at Port of Brisbane
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Digital Futures 2011 Slide 6
Remote Logistics Challenges
• Communication
• Network scalability
• Safety and integrity
• Information• Situational awareness
• Maintenance
• Computation
• Control
• Planning
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Remote Mining: Business
• Business drivers
• Safety and productivity
• Precision and efficiency
• Business philosophy
• Automation of complete mining cycle – total benefit
• Vertical integration into mining business
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Remote Mining: Technology
Architecture Data Fusion Automation
8/6/2019 Hugh Whyte, NICTA, Australian Challenges in the Digital Future
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Architecture = Information and Control
Plug-in architecture and standards for all OEM compon
8/6/2019 Hugh Whyte, NICTA, Australian Challenges in the Digital Future
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Sensor and Measurement Data
Common operatingpicture(COP)
Central Data Storage:Multiple Spatial Scalesstatistical information Register
Data
Data Fusion engines
MPCManager
Data Request
Data Deliver
Blasthole Gamma CEPN/644/17
0
2
4
6
8
10
12
0 20 40 60 80 100
Gamma
D e p t h
In-Ground Data Fusion Model
Information
Fused Models
Best Possible Mine Model Available in Real Time
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Control
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ROC: Remote Operations Centre
• Total Operations:
• Mine
• Plant
• Rail
• Port
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Remote Drilling Operation
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Remote Material Movement
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Remote Mining Challenges
• Communication
• Mobile Networks
• Safety and integrity
• Information• Diverse sensors
• Complex equipment
• Computation
• Mine picture generation
• Planning
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Digital Futures 2011 Slide 16
Smart Infrastructure
• Infrastructure
• Smart Grid
• Smart Water
• Smart Transport
• Technology Challenges
• Communication
• Information
• Computation
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Digital Futures 2011 Slide 17
Diverse Transmission Network
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Digital Futures 2011 Slide 18
Diverse Generation Sources
• Traditional Centralised
• Coal, Gas, Hydro
• New Distributed
• Wind, Solar, Geothermal
• Technology challenges
• Source control• Sink control
• Network management
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Digital Futures 2011 Slide 19
Future Smart Grid Architecture
Ref: A.Ipakchi and F.Albuyeh, IEEE Power & Energy Magazine, Special Issue on the Next-Generation Grid , Vol.7, No.2, 2009
Communication, Information, Computation
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Digital Futures 2011 Slide 21
Smart Grid Smart City (SGSC)
• Empower customers … information,tools and pricing to better manageindividual energy usage, costs andemissions
• Reduce peak energy demand …delay the need for infrastructure.
• Reduce utility operating costs …while improving the ability torespond to customers
• Improve service reliability …technology, tools and processes tomanage the system better andrestore outages more quickly
Imagecourtesy ofAEMO (thenNEMMCO)
SGSC: An Australian Government project 2010-2013
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Digital Futures 2011 Slide 22
Applications to be demonstrated
Image and words courtesy of Ausgrid
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Digital Futures 2011 Slide 24
Smart Infrastructure
• Smart Water• Water Information Network (WIN)
• Critical Pipe Management
• Irrigation Control
• Smart Transport• Intelligent Fleet Logistics (IFL)
• Smart Transport and Roads (STaR)
• …
• Common Technology Drivers• Communication
• Information
• Computation
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Digital Futures 2011 Slide 25
Environment
• Unique Australian Data
• Terrestrial Ecosystems (TERN)
• Marine Observatory (IMOS)
• Geological data (AuScope)
• Atlas of Living Australia (ALA)
• Wide Application• Agriculture, Fisheries and Resources
• Environment Stewardship
• Understanding Long-term Climate
• Science and Education
• Critical Technology• Communication – remote sites
• Information – massive cloud data sets
• Computation – feature discovery
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Digital Futures 2011 Slide 26
Integrated Marine Observatory (IMOS)
5 Nodes and 11 Facilities
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Digital Futures 2011 Slide 27
IMOS – Gliders and Floats
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Digital Futures 2011 Slide 28
AUV: High-Res Marine Data Acquisition
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Digital Futures 2011 Slide 30
Nocturnal Cuttlefish Camouflage
AUV Surveys of cuttlefish spawninggrounds and cuttlefish spawning behaviour
(Image courtesy of R. Hanlon, MBL)
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Digital Futures 2011 Slide 31
Terrestrial Environment and Agriculture
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Digital Futures 2011 Slide 32
Australian Challenges in the Digital Future
• Unique opportunities and challenges
• Large-scale, remote operations
• Massive spatially distributed data
• Real-time control and management
• Driving technologies in
• Communication
• Information
• Computation
• Application in Australian industries