Electronic Nose - PowerPoint PPT Presentation

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Electronic Nose

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Title: Electronic Nose


1
Electronic Nose (Odor Tracking)
  • By- Anil Yadav

2
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Problem Background
  • E-nose came about from trying to mimic the sense
    of smell in robots or machines.
  • E-nose beneficial because
  • -Not fatigued
  • -More sensitive
  • Research now is focused on putting an E-nose on
    a mobile robot

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Problem Statement
  • Develop signal-processing procedures to
    reconstruct the changes in concentration of odor
    mixtures through the response of a gas sensor
    array.

6
Design Objective
  • Create three modules
  • -E-nose module
  • -Diffusion module
  • -Robot Simulator
  • Replace E-nose module with provided dilution
    system to test with real sensor responses.

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Design Model
9
Survey of Literature,Market, and Existing
Solutions
  • Many researches about odor tracking robot
  • Spiral Surge Localization algorithm
  • Conducting polymer-based odor sensor
  • Odor-guided locomotion Dr.Mark Willis

10
Originality and Creativity
  • Interface requirements
  • -Lab VIEW TM
  • -Other modules
  • -Dilution system (E-nose)
  • Client needs
  • -Odor dispersion
  • -Odor source detection

11
Constraints and Feasibility
  • Constraints
  • -Language
  • -Time table
  • -Ignorance
  • Feasability
  • -Low cost
  • -Time?
  • -Sensor response

12
Alternative Solutions
  • Webots robot simulation language from Cyberbotics
  • Java and Visual Basic languages
  • Adding win sensor
  • Coding just one model instead of two

13
Design Validation
  • Module validation
  • -Accuracy performance?
  • Compatibility
  • -Interface with other modules?
  • System testing
  • -Complete the project goal?

14
Economic Analysis
  • Little or no costs
  • Possible cost 220 for robot simulator
  • Whole project implemented in software
  • Software and dilution system provided

15
Societal, Safety, and Environmental Analysis
  • Many benefits
  • -Locate harmful gases or leaks
  • -Test air quality and monitor emissions
  • -Help in space exploration
  • Few risks
  • -Slow response in dealing with harmful odors
  • -Robot malfunction

16
Management, Scheduling,and Teamwork
  • Four jobs
  • -Head Manager Simon Saugier
  • -Time Coordinator Ninh Dang
  • - Documentation Coordinator Greg Allbee
  • -Head Programmer Jason Hamor

17
Gantt Chart
18
PERT Chart
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20
THANK YOU
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