Project Albatross Subsurface Data Acquisition using Semi-Autonomous - - PowerPoint PPT Presentation

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Project Albatross Subsurface Data Acquisition using Semi-Autonomous - - PowerPoint PPT Presentation

Project Albatross Subsurface Data Acquisition using Semi-Autonomous Aquatic Robotics Team Members: Dave Evans, Patrick Gannon, Steven Seeberger, Nick Sullo, Connal West Advisor: Bahram Shafai The Team Connal West Steven Seeberger Dave Evans


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Project Albatross

Team Members: Dave Evans, Patrick Gannon, Steven Seeberger, Nick Sullo, Connal West Advisor: Bahram Shafai

Subsurface Data Acquisition using Semi-Autonomous Aquatic Robotics

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The Team

Connal West Steven Seeberger Dave Evans Nick Sullo Patrick Gannon

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Approximately 40% of the lakes in America are too polluted for fishing, aquatic life, or swimming

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Problem Formulation

➝ Monitoring water quality is becoming increasingly important with rise of… ⇾ Water pollutants (plastics, chemicals, etc.) ⇾ Climate change (causing ocean acidification) ⇾ Extreme weather patterns ➝ Marine biologists mainly rely on manual data capturing ⇾ Data sparsity ⇾ Aliasing issues ⇾ Mostly vertical profiles ⇾ Time/Cost of Measurements

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Project Albatross

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Design Solution

➝ Create an autonomous watercraft ➝ Obtain underwater measurements at various depths ➝ Able to relay data/route updates to user mid-mission ➝ Process and present data in a digestible manner

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System Architecture

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Unmanned Surface Vehicle (USV)

➝ Custom aluminum frame, custom pontoons, sealed electric housings ➝ 6 modified bilge pumps powered by two 12V SLA batteries ➝ Pixhawk flight controller ➝ RaspberryPi

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Autonomous Underwater Vehicle (AUV)

➝ Sensors: pH, turbidity, dissolved

  • xygen, temperature, and depth

➝ Stepper motor/ syringes adjust buoyancy ➝ 2 integrated Arduinos for: ⇾ Sensor Data ⇾ Buoyancy Control

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Data Processing

➝ Processes sensor data in real time ➝ Visual sensor data using: ⇾ Line Charts ⇾ Point Charts ⇾ Heat Maps ➝ Provides holistic view of mission data

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Overall Results

➝ 2 missions: surface and 2 meter depth ➝ Able to perform variety of mission paths and return to “home” location successfully ➝ Transfer data and commands from shore to sub with various sub depths ➝ Data viewed/processed in real-time in Mission Planner and exported to CSV

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Video Demonstration

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Acknowledgements

➝ Professor Shafai, capstone advisor ➝ Ethan Edson, researcher at the Marine Science Center ➝ DFRobot ➝ Northeastern EECE Capstone Department ➝ Home Depot Staff

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Questions?

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Thanks!