Git Product home page Git Product logo

cleanthatmessup's Introduction

CleanThatMessUp

This repo was used to support our idea for the NASA Space Apps Challenge 2019.

Logo

Dataset

The dataset used is the gdp_interpolated_drifter, offered by the NOAA agency. The project uses a restricted version of the dataset in which only end coordinates and ID have been used. The dataset is used in the article Garbage Patch Visualization Experiment from NASA.

Install

pip3 install -r requirements.txt
mkdir data img
wget -O ./data/small.csv http://osmc.noaa.gov/erddap/tabledap/gdp_interpolated_drifter.csv?ID%2Celat%2Celon&distinct()

Run

python3 compute_coast_dist.py
python3 plot_coast.py

Results

Target coasts


Project Ninfea

We aim to filter water and collect the micro-plastic near the coasts to mitigate the micro-plastic problem. Our project proposes to build an autonomus GPS based robot powered by renewable energy that works in bounded areas.

THE PROBLEM A great amount of plastic is focusing on the coast, that is causing an artificial island that is disintegrating into micro-plastic. The micro-plastic is being eaten by planktons, thus enterning food chain.

OUR SOLUTION Analyzing NASA and NOAA Data we discovered the main accumulation point of ocean currents which we hypotize to be an accumulation point for plastic trash. We have designed a solution to filter water and collect the micro-plastic where the plastic accumulates. Our project proposes to build an autonomus GPS based robot waterlily shaped powered by renewable energy that works in bounded areas.

IMPLEMENTATION Project Ninfea, the name of our solution, is a filtering system that use films to trigger an inducted crossflow which grants self-cleaning and the redirection of accumulated debris. The system is powered by a outboard hydrojet naval engine, designed by an italian startup, which it has a filter that allow to filter large water flow rates. There also other filters disposed Project Ninfea which allows to filter the micro-plastic above the sea surface and they grant to cover a wide area.

The robots work during night and day and they recharge through the morning solar energy and also the wave motion.

Render

REFERENCES

SLIDES (IN ITALIAN)

cleanthatmessup's People

Contributors

daquinoaldo avatar

Stargazers

 avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.