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ENDORSING PARTNERS

SMART Infrastructure
Dashboard

The following are confirmed contributors to the business and policy dialogue in Sydney:
•

Rick Sawers (National Australia Bank)

•

Nick Greiner (Chairman (Infrastructure NSW)

Monday, 30th September 2013: Business & policy Dialogue
Tuesday 1 October to Thursday,
Dialogue

3rd

October: Academic and Policy

Presented by: Dr Rohan Wickramasuriya, SMART Infrastructure Facility,
University of Wollongong

www.isngi.org

www.isngi.org
SMART Infrastructure
Dashboard

Rohan Wickramasuriya
Outline
• Background & Problem
• Potential solution – pieces of the jigsaw
• SID – assembled jigsaw
Study area, stakeholders and data
Technical architecture and workflows
SID in action

• Conclusion and future works
• Many utility service providers
• Where’s the problem?
holistic view?
integrated planning?
how can I take actions?

• Difficult challenge
multiple stakeholders
dispersed datasets
diverse formats (data)
data complexity
• Business Intelligence (BI)
processes

people

Data
Access
Analyse

Knowledge

technology

Why BI?
ability to handle diverse & complex data
optimized data storage for fast query performance
slice & dice, drill down, roll up
captivating, easy-to-understand reports
online access
• Geographic Information Systems (GIS)

Why GIS?
infrastructure data largely spatial
map is a better visual
Public
Infrastructure
Domain

 Regional focus
 SQL driven
 No complex modelling
• The Illawarra region
• 5 Councils
• Infrastructure service provision
diverse providers
private & public

• Electricity distribution
1 company
 Endeavour Energy

• Water & Sewage networks
3 operators
 Sydney Water

• Solid Waste

4 operators
 REMONDIS
Provider

Data type

Temporal
Resolution

Spatial
Resolution

Endeavour

Elec. Consumption
Geom. network

Monthly
N/A

SA1

Sydney
Water

Water consumption
Water quality
Water demand
Discharge volumes
Power consumption
Geom. network – water
Geom. network – sewage

Quarterly
Monthly
Daily
Daily
Monthly
N/A
N/A

Postcode
Reservoirs (point)
Reservoir zone

REMONDIS

Waste volume & weight
Collection Routes

Daily

Collection Route

ABS

Demographic

Yearly

SA1

BOM

Rainfall, Temperature

Daily

Station
Data Sets

Data Staging & Warehousing

Electricity
Water
ETL

Staging
Database

Data
Warehouse

Geo-BI
Analytics

Analytical
Reports

Waste
Demographic
Data

Metadata Repository

Weather Data

• Software
Pentaho Data Integration
PostgreSQL/PostGIS
Yellowfin

Interactive
Dashboards

End
Users

Web
Interface
• What is star schema?

• Why star schema?
simple queries
fast query performance
easy to understand
Schema 1

Common
dimensions

Schema 2 (network)
• Spatial hierarchy
SA4 - SA1

• Temporal hierarchy

year - season/quarter - month - week - day
Seeing is believing
SMART International Symposium for Next Generation Infrastructure: SMART Infrastructure Dashboard
SMART International Symposium for Next Generation Infrastructure: SMART Infrastructure Dashboard
SMART International Symposium for Next Generation Infrastructure: SMART Infrastructure Dashboard
SMART International Symposium for Next Generation Infrastructure: SMART Infrastructure Dashboard
Conclusion
• Right people, data, fusion of BI & GIS (processes &
technologies) can provide the integrated vision required
for regional infrastructure governance
• SMART Infrastructure Dashboard – a proven demonstrator
that can be replicated elsewhere
• Happy to transfer knowledge & technology
• Future work

Automating spatial data handling – FME & Geotools/ArcGIS for Server
Network interdependency
Prof. Pascal Perez
Research Director, SMART Infrastructure Facility
pascal@uow.edu.au

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SMART International Symposium for Next Generation Infrastructure: SMART Infrastructure Dashboard

  • 1. ENDORSING PARTNERS SMART Infrastructure Dashboard The following are confirmed contributors to the business and policy dialogue in Sydney: • Rick Sawers (National Australia Bank) • Nick Greiner (Chairman (Infrastructure NSW) Monday, 30th September 2013: Business & policy Dialogue Tuesday 1 October to Thursday, Dialogue 3rd October: Academic and Policy Presented by: Dr Rohan Wickramasuriya, SMART Infrastructure Facility, University of Wollongong www.isngi.org www.isngi.org
  • 3. Outline • Background & Problem • Potential solution – pieces of the jigsaw • SID – assembled jigsaw Study area, stakeholders and data Technical architecture and workflows SID in action • Conclusion and future works
  • 4. • Many utility service providers • Where’s the problem? holistic view? integrated planning? how can I take actions? • Difficult challenge multiple stakeholders dispersed datasets diverse formats (data) data complexity
  • 5. • Business Intelligence (BI) processes people Data Access Analyse Knowledge technology Why BI? ability to handle diverse & complex data optimized data storage for fast query performance slice & dice, drill down, roll up captivating, easy-to-understand reports online access
  • 6. • Geographic Information Systems (GIS) Why GIS? infrastructure data largely spatial map is a better visual
  • 7. Public Infrastructure Domain  Regional focus  SQL driven  No complex modelling
  • 8. • The Illawarra region • 5 Councils • Infrastructure service provision diverse providers private & public • Electricity distribution 1 company  Endeavour Energy • Water & Sewage networks 3 operators  Sydney Water • Solid Waste 4 operators  REMONDIS
  • 9. Provider Data type Temporal Resolution Spatial Resolution Endeavour Elec. Consumption Geom. network Monthly N/A SA1 Sydney Water Water consumption Water quality Water demand Discharge volumes Power consumption Geom. network – water Geom. network – sewage Quarterly Monthly Daily Daily Monthly N/A N/A Postcode Reservoirs (point) Reservoir zone REMONDIS Waste volume & weight Collection Routes Daily Collection Route ABS Demographic Yearly SA1 BOM Rainfall, Temperature Daily Station
  • 10. Data Sets Data Staging & Warehousing Electricity Water ETL Staging Database Data Warehouse Geo-BI Analytics Analytical Reports Waste Demographic Data Metadata Repository Weather Data • Software Pentaho Data Integration PostgreSQL/PostGIS Yellowfin Interactive Dashboards End Users Web Interface
  • 11. • What is star schema? • Why star schema? simple queries fast query performance easy to understand
  • 13. • Spatial hierarchy SA4 - SA1 • Temporal hierarchy year - season/quarter - month - week - day
  • 19. Conclusion • Right people, data, fusion of BI & GIS (processes & technologies) can provide the integrated vision required for regional infrastructure governance • SMART Infrastructure Dashboard – a proven demonstrator that can be replicated elsewhere • Happy to transfer knowledge & technology • Future work Automating spatial data handling – FME & Geotools/ArcGIS for Server Network interdependency
  • 20. Prof. Pascal Perez Research Director, SMART Infrastructure Facility pascal@uow.edu.au