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Thank you. CSIRO Computational Informatics Prof. Paulo de Souza OCE Science Leader t +61 3 6232 5578 e paulo.desouza@csiro.au w www.csiro.au / ict. Computational informatics. Swarm Sensing. Paulo de Souza | OCE Science Leader – CSIRO Computational Informatics. 26 November 2013.

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Presentation Transcript
slide1

Thank you

CSIRO Computational Informatics

Prof. Paulo de SouzaOCE Science Leader

t +61 3 6232 5578

epaulo.desouza@csiro.au

wwww.csiro.au/ict

Computational informatics

swarm sensing

Swarm Sensing

Paulo de Souza | OCE Science Leader – CSIRO Computational Informatics

26 November 2013

CSIRO Computational informatics

motivation the real need
MotivationThe real need

Swarm Sensing | Prof. Paulo de Souza

technology roadmap
Technology Roadmap

Silverster(2011)

Swarm Sensing | Prof. Paulo de Souza

technology roadmap where are we
Technology Roadmap: Where are we?

[Silverster11]

Our Target

by 2016

Swarm Sensing | Prof. Paulo de Souza

technology roadmap1
Technology Roadmap

Swarm Sensing | Prof. Paulo de Souza

technology roadmap2
Technology Roadmap

Disruptive

Applications

Better

IP Space

Populated

IP Space

Too Blue

Sky

cm

mm

nm

mm

Mature

Immature

Technology Readiness Level

Swarm Sensing | Prof. Paulo de Souza

our target
Our Target
  • To develop a 100 mm sensor platform that is able to:
    • Harvest and store energy
    • Process data and store it
    • Make environmental measurements
    • Communicate
  • Perform environmental monitoring and insect monitoring
  • Considering:
    • Cost ($0.30/unit)
    • Theoretical formalism to interpret data from these sensors

Swarm Sensing | Prof. Paulo de Souza

slide10
Swarm Sensing:

Challenges we are facing

Where we are focusing now, next and later?

Swarm Sensing | Prof. Paulo de Souza

research challenges
Research Challenges

Energy

Harvesting (from insect movement)

Storage (3D batteries)

Integration

Design, optimisation, prototyping, manufacturing, testing

Communications

Increasing distance

Tracking insects

Analytics

Interpreting data coming from thousands of sensors in real-time

Modelling insect behaviour

Swarm Sensing | Prof. Paulo de Souza

slide12
Swarm Sensing:

Functions of micro-devices

What can we do with it?

Swarm Sensing | Prof. Paulo de Souza

functions of micro devices
Functions of Micro-Devices

Tagging

Challenge: Distance achieved with wireless communication

Tracking

Challenge: landscape, size of supporting structure, energy, antenna

Sensing

Challenges: Communication, energy harvesting and storage

Micro-devices | Page 13

slide14
Swarm Sensing:

What are we doing?

Swarm Sensing | Prof. Paulo de Souza

what are we doing
What are we doing?
  • Tagging 5,000 honey bees
    • 2.5 x 2.5 x 0.4 mm RFID manufactured by Hitachi Japan
    • Four identical hives
      • Feeder stations with different nutritional contents
      • Pollen excluders
      • Pesticides on pollen
  • Aiming at gathering information on:
        • Bee behaviour x environmental changes
        • Pre-swarming management
        • Pollination under stress
        • Real impact of pesticides
        • Insight to bee collapse
        • Interactions between individuals
what are we doing3
What are we doing?
  • Theoretical Formalism
    • Statistical Mechanics
    • Thermodynamic-equivalent
      • States
      • Constants
  • Modelling/Simulation
        • How to integrate large data sets
        • What can we learn from data

time

latitude

longitude

energy harvesting
Energy Harvesting

Swarm Sensing | Prof. Paulo de Souza

energy harvesting1
Energy Harvesting

Swarm Sensing | Prof. Paulo de Souza

slide22
3D Microbatteries

Maximised Energy on a Small Footprint Area

Thin Film Battery

3D Microbattery

~15 µm

~500 µm

Higher electrode surface area = Increased Energy per Footprint Area

3D Microbattery Project | Page 22

slide23

Integration of Micro-Devices

Antenna

Energy Harvesting Micro-Devices

3-D Micro-Battery

Micro-Sensors

Micro-Electronics & RF Module

Energy Harvesting Micro-Devices

3-D Micro-Battery

Micro-Sensors

Micro-Electronics & RF Module

slide24
Swarm Sensing:

What’s next?

What are we doing ?

Swarm Sensing | Prof. Paulo de Souza

what s next
What’s next?
  • Tracking
    • Antenna
    • Harmonic Radar
  • Aiming
        • Migration
        • Dispersal of invasive species
        • Disease vector, pest and beneficial insect movement
        • Mining operations x insect behaviour
slide26
Swarm Sensing:

What’s later?

What we dream of achieving?

Swarm Sensing | Prof. Paulo de Souza

insects as sensors
Insects as Sensors

5

4

:

3

2

1

0

2

4

Female pheromone gland extract

:

:

5

9

2

1

4

2

2

5

3

:

9

5

:

1

:

4

4

6

2

:

2

2

2

2

FID

EAD

antenna reaction

Fact 1:

Insects are very sensitive to chemicals (reported 10-19)

Fact 2:

Exposure to some chemicals create a specific pattern through the insect nerve system

Swarm Sensing | Prof. Paulo de Souza

slide30
Insects as sensors?

Swarm Sensing | Prof. Paulo de Souza

slide31
Insects as Sensor

Swarm Sensing | Prof. Paulo de Souza

slide33
Swarm Sensing:

Partnerships

We can’t make it happen alone!

Swarm Sensing | Prof. Paulo de Souza

slide34

Current

Capability

SSN-TCP (CCI, CPSE, CET) & CES

UTAS

Desert Research Institute

University of Michigan

Output

Biosecurity Flagship

Vale Institute of Technology

Tasmanian Beekeepers Association

Fruit Growers Tasmania

Seed Producers

Quarantine Tasmania

EPA - TasGov

Partnerships

Swarm Sensing | Prof. Paulo de Souza

slide35
Swarm Sensing:

Conclusions

What we have seen today?

Swarm Sensing | Prof. Paulo de Souza

to reflect
To reflect
  • Technology Development Requires:
    • Discipline and strategic thinking;
    • A relevant application;
    • Capability in R&D (people, infrastructure and relationships);
    • Scientific relevance;
    • Resources.
  • CSIRO is the place to make it happen.
  • This is a team effort.
slide37

Thank you

CSIRO Computational Informatics

Prof. Paulo de SouzaOCE Science Leader

t +61 3 6232 5578

epaulo.desouza@csiro.au

wwww.csiro.au/ict

Computational informatics