- Teemu Ikävalko 2476629 [email protected] (Project manager)
- Arttu Vuosku 2463849 [email protected]
- Mauri Miettinen 2437710 [email protected]
- Valtteri Erkkilä 2425531 [email protected]
- Design a drone that can detect and follow odors
- Useful in detecting and locating pollution or fires
- Cover page
- Purpose of the project
- Glossary
- Design Process
- Previous research
- Scenario & Use cases
- System design
- References
- Contributions
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Drone
- Unmanned remote controlled aerial vehicle (MOT Englanti © Kielikone Oy & Gummerus Kustannus Oy)
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Sensor
- "Electronic component, module or a sybsystem whose purpose is to detect events or changes in environment" Wikipedia Sensor
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Microcontroller
- Small computer used in simple calculations usually on a single circuit. Wikipedia Microcontroller
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Electronic nose
- A device intended to detect odors Wikipedia Electronic nose
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We started by looking at previous research, specifically scientific studies and commercial products.
- The studies gave us insight about how different odors can be identified.
- The commercial products gave us information about different types of sensors.
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Next, we searched for suitable sensor equipment as well as development and simulation software.
- We found plenty of options in both areas.
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After receiving the preliminary specifications from the TA, we narrowed our scope.
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Finally, we made a decision about the microcontroller and sensors we were going to use.
FOODsniffer Electronic nose for checking if food is fresh and safe to eat.
Sensor drone for aerial odor mapping for agriculture and security services Similar project using drone for odor mapping in agriculture.
The eNose company Company that is specialiced in making portable and lightweight sensor applications.
Air quality monitor using arduino
Development of a Portable Electronic Nose System for the Detection and Classification of Fruity Odors Certain smells have "odor print"
Concept of an electronic nose Multi-dimensional sensor arrays with broad odor recognition
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Scenario
- Detecting and locating forest fires from the air
- Drone can be easily deployed on site and start automatic search for a possible fire
- Drone has live video feed from which the operator on the ground can verify that fire is starting or going.
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Possible use case
- Operator activates drone and sensor
- Drone starts automatic search procedure to find fires based on sensor data
- Fire source activates sensor and gives drone movent commands to follow the gas trail
- Operator verifies drone findings via onboard camera and live video to report forward
- 4 base components with subcomponents
- Drone
- Receives movement orders from remote
- Sensor array + microcontroller
- Attaches to drone
- Microcontroller program receives and processes data from sensor array
- Sends data wirelessly to Android device using built-in libraries
- Android device
- Purpose-built android application (developed via DJI mobile SDK) receives sensor data and picks movement commands accordingly
- Android application interacts with DJI drone control software and gives the drone commands
- Remote control device
- Signal amplification
- Drone
- Developmental questions:
- How to map sensor array data into directions?
- Design flight patterns based on direction of pollutant?
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Drone damage from testing (Major impact, unlikely) -> use simulator
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Software mostly focused on android device...Disconnect? Delay? (Medium impact, unlikely) -> testing
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Connection problems? (Major impact, possible) -> testing
- When connection is lost activation of fly home procedure begins
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All components offer extensive documentation and UI -> easy to develop
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Clear system design
Definition for a drone: MOT Englanti © Kielikone Oy & Gummerus Kustannus Oy
Air Sensor Guidebook - United States Environmental Protection Agency
FOODsniffer Electronic nose for checking if food is fresh and safe to eat.
Sensor drone for aerial odor mapping for agriculture and security services Similar project using drone for odor mapping in agriculture.
The eNose company Company that is specialiced in making portable and lightweight sensor applications.
Air quality monitor using arduino
Development of a Portable Electronic Nose System for the Detection and Classification of Fruity Odors Certain smells have "odor print"
Concept of an electronic nose Multi-dimensional sensor arrays with broad odor recognition
- Teemu Ikävalko (11h, 26%): General Design and managing tasks
- Mauri Miettinen (19h, 44%): System design
- Valtteri Erkkilä (9h, 21%): Sensor research
- Arttu Vuosku (4h , 9%): Looking for articles and instructions