High-Level Project Summary
Solar weather can affect our lives in many ways. in 2003, a solar storm caused many impacts to earth. In 2012, another one missed earth by an inch.To the untrained eye, the data on these solar effects – aka “space weather” – can be confusing or intimidating.Sunny Mood, query space publicly available probes data, and rate its mood based in the last 24h observed data. It can also use prediction and science to send warnings.It can adjust your lights color to reflect suns mood, advise in case its a good time to travel to see Auroras, or who knows, to warn you to go hide in the mountains and much more.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
Major solar events can impact life and technology on Earth. In 2003, a solar storm caused many impacts to our modern civilization. In 2012, another one missed earth by an inch.
Several spacecraft, are collecting data about the Sun that will enable us to learn more about space weather. To the untrained eye, the data on these solar effects – what we call “space weather” – can be confusing or intimidating.
We created a rating system called “Sunny Mood” that regularly query this data online from many space probes, like Parker, iNtegrated Space Weather Analysis System (iSWA), INPE data and other that are public available, and rate the Suns mood.
That provides compatible IoT and smart devices (and Amazon Alexa Skills/Google Home Assistant) the hability to trigger actions, like playing songs, to adjust your light bulb color temperature, vibrate smart watches, or trigger alarms in case of a severe solar storm. Also it can help people to know a good time to travel earth magnetic pole and watch Auroras, or who knows, to warn you to go hide in the mountains among endless capabilities depending on the sun´s mood.
Sunny Mood Widget can provide insightful regarding the Space Weather, and can work in different smart devices such Mobile phones, smart watchs and other smart devices around your home.
Sample code to query KP Observerd data from the last 24 hours frm iSWA:
https://github.com/rmorraye/NASA-hackaton-2022
Space Agency Data
iSWA containing both observed and prediction KP data
https://iswa.gsfc.nasa.gov/IswaSystemWebApp/
Parker probe data
http://research.ssl.berkeley.edu/data/psp/data/sci/fields/l2/
INPE data on magnetometers
http://www2.inpe.br/climaespacial/portal/embracedatasobre/
Hackathon Journey
For some of the team members, this was the first Space Apps, and for a few the first hackathon they´ve participated.
As some of the members have participated in the last space apps challenge, and have a strong graphic design background we decided to pick a challange that would enable the team to explore their knowledge.
Most of us learned alot regarding the amount of data available not only in Nasa, but also into the Brazilian Space Agency/INPE and that are public. We learned some of the meanings and we had to do some research to try to understand what that data means.
We all would like to thank out families that supported us during this journey, feeding us with Pizza and say sorry because we had to neglect their weekend to deliver this solution. Also, we would like to thank all the NASA Campinas mentors like Marco Linhares and many others.
References
Codes are original work
Some video and grafics from evanto.com
Images used in the website for compatible devices are found from the internet and marked as no open on Google Image search
Software set used:
Adobe Creative Cloud, including Ilustrator, Premiere, Audition, XD, Photoshop
Corel
Visual Studio vscode
Tags
#weather #rating #space #mood #alexa #skill #IoT