Build best-in-class customer experiences in Smart Cities
summary
University of Melbourne builds an operational smart campus and digital twin that ingests sensor and systems data into an S3 data lake and serves real time APIs and dashboards; it deploys a LoRaWAN network with 2,000 sensors covering 850 spaces, uses AWS IoT Core, Kinesis Firehose and Lambda to ETL, stores parquet files queried by Athena and visualises via QuickSight. Outcomes include CO2-based ventilation interventions, energy demand forecasts, contact tracing, evidence-based space planning and lower run costs.
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chapters (16)
- 0:00Introduction and agenda
- 1:18Urban growth and smart city tech
- 3:26Holistic smart city platforms
- 4:31Digital twins explained
- 5:34University of Melbourne intro
- 6:17Smart campus focus areas
- 7:27Platform architecture and users
- 8:31Campus planning use case
- 12:23COVID safety and air quality
- 14:57Energy forecasting and sustainability
- 18:16Open data and governance
- 19:18AWS infrastructure details
- 21:57Results and benefits
- 23:24AWS Smart City solutions
- 24:49AWS IoT TwinMaker demo
- 25:10Call to action and Q&A
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