Flood Tracker is a Code for Miami project seeking to address the problem of flooding in South Florida. Many areas of Miami flood because of "King Tide" and climate change. This is a work in progress app seeking to address helping people interested in tracking flooding do that.
This projects uses the Particle microcontroller & cell system to get data from deployed sensors and puts it in a database. Think of it as a work in progress.
Bryce, the lead developer has found it really helpful while debugging sensor behavior.
It shows events: https://floodtracker-watcher.herokuapp.com/events
It shows other status updates: https://floodtracker-watcher.herokuapp.com/sparks
It "has" "User Interface" but if you are a designer we could use help in making it better.
Learn how we built this here: https://medium.com/code-for-miami/building-iot-flood-trackers-for-miami-with-miami-7186a8c7200e
it's a really standard rails app
data dump from 2019-06-24: https://i.bf1c.us/floodtracker-watcher-b006.pgdump
pg_restore -d floodtracker-watcher_development tmp/b004.pgdump
it deploys mostly fine on heroku (by design)
set a "KEY" environment variable so that pushed data can be authenticated
once it's migrated and running and happy (the events & sparks URLs above should work), set up the appropriate URLs in the particle web console
on particle, send level_mm events to
https://floodtracker-watcher.herokuapp.com/events?key=YOUR KEY HERE
and spark events to
https://floodtracker-watcher.herokuapp.com/sparks?key=YOUR KEY HERE
I learned a lot and had a lot of fun with this! If you've got questions, email me at bkerley@brycekerley.net .
- We suggest you fork this and get it running on your local.
- We need help with UX Design and Research.
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