SMART International Symposium for Next Generation Infrastructure: SMART Infrastructure Dashboard
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Transcript of SMART International Symposium for Next Generation Infrastructure: SMART Infrastructure Dashboard
Monday, 30th September 2013: Business & policy Dialogue
Tuesday 1 October to Thursday, 3rd October: Academic and Policy Dialogue
www.isngi.org
ENDORSING PARTNERS
The following are confirmed contributors to the business and policy dialogue in Sydney:
• Rick Sawers (National Australia Bank)
• Nick Greiner (Chairman (Infrastructure NSW)
www.isngi.org
SMART Infrastructure Dashboard
Presented by: Dr Rohan Wickramasuriya, SMART Infrastructure Facility, University of Wollongong
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
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
• Business Intelligence (BI) people
processes
technology
Access Analyse
Data
Knowledge
• 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
Electricity
Data Sets
Water
Waste
Demographic Data
Weather Data
Data Staging & Warehousing
Staging Database
Data Warehouse
Geo-BI Analytics
Analytical Reports
Interactive Dashboards
End Users
Web Interface
ETL
Metadata Repository
• Software Pentaho Data Integration PostgreSQL/PostGIS Yellowfin
• Why star schema? simple queries fast query performance easy to understand
• What is star schema?
Schema 1 Schema 2 (network) Common dimensions
• Spatial hierarchy SA4 - SA1
• Temporal hierarchy year - season/quarter - month - week - day
Seeing is believing
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 [email protected]