Dr Matthew Berryman, IT Architect, presented an overview of his research as part of the SMART Seminar Series on 15 November 2016.
More information: http://smart.uow.edu.au/events/UOW223675.html
10. • Deployed using Elastic
Beanstalk + RDS + additional
EC2 for collecting social
media and flood gauge data.
• Automated failover and
scalability for continuity of
service and performance.
10
CogniCity REM
Risk evaluation matrix
14. AWS Internet of Things
Prototype flood sensor
• Idea: build IoT water level sensing devices, to cheaply increase the monitoring
across the waterway network in Jakarta. Use ultrasound sonar devices to
measure water depth, and a temperature and humidity sensor.
• Transmit data securely across the Internet using AWS services and store the
data in the database for mapping.
• Providing more data for waterway infrastructure operators to make better
decisions in order to optimize the system to reduce the risk of flooding.
14
25. What’s next?
• Better power management: using a low power
circuit for sensor readings and then waking up
the Raspberry Pi to transmit (development and
testing circuit shown on the right), plus adding
solar power.
28. OpenDroneMap
We are collaborating on building a web front end for OpenDroneMap,
open source software for automating the generation of 3D topological
maps from 2D drone imagery, for use with open data in disaster
management.
29.
30.
31. Smart Building Sensor
• Collecting data on ambient temperature, black
body temperature, humidity, air velocity,
illuminance, and motion, from which it calculates
estimated comfort level, and users can provide
feedback on their perception of comfort via touch
sensors.
• Recently installed in the the Illawarra Flame
sustainable building research house.
32. IoT Security
• “The S in IoT stands for security.” Often an afterthought if there at
all.
• Many people fail to learn lessons past (disable unnecessary
services, don’t allow users to use default passwords, etc.).
• Device-specific certificates.
• Physical security.
• Cloud-side security.
33. Teaching and community outreach
• Teaching students and other community members how to build and
operate our IoT sensors.
• Collaborating with The Things Network and HereLab.io on sensors
infrastructure and other sensors that are useful to the community.
• Helping the community inform themselves about their environment
using IoT mapping.
34. Document title
Connect: Wollongong – 6 Week Challenge
• Establish Wollongong as the 1st IOT City Living Lab in Australia
• Set up the leading infrastructure to link research, startups, and global
players
• Become a model for Smart City development (regional metro areas /
Tier 2 cities)
• Showcase how IOT will change the way we live and work
• Use a mix of communication technologies (WiFi , LoRaWAN, 4G, etc.)
34
35. Document title
6 Weeks – 6 Gateways – 6 Projects
• 6 Gateways to cover Wollongong from
Unanderra to Bulli
• 6 weeks to deploy the entire network and
connect it to The Things Network
• 6 projects to be initiated and supported
through sponsorship & crowd-funding
• 6 sponsors to become the ambassadors of
Connect: Wollongong
35
36. Document title
Potential domains of application
36
Flood warning
system
SMART & SES
Smart connected
home
SBRC & Redwood
AR for learning
Early Start
Dementia-friendly
city
ADHERe & IRT
Sensors placed: (1) away from manual river gauges, (2) away from each other, and (3) near pump & gate infrastructure as shown, to maximise information for decisions on how best to control (focus more on system level than on individual operation, for better management).
Diurnal variation + some spikes (suspect rubbish / pontoon in this location going past).
Now trialling augmented reality for IoT. Hold device camera over IoT sensor and it recognises unique code from sticker and overlays real-time data (here just temp+humidity). Could also be used for data collection (e.g. users using augmented reality to measure flood heights and send data back).