Well that's my SkyWeather just gone live on WeatherStem!
Quick question! How do i look at the Skyweather data as a graph? When I click on datamining on Weatherstem it just takes me back to my weatherstation (its only live by 2 days so maybe to early to use WeatherStem data mining perhaps???
Also whats the best way to look at your historical sensor data?
I have the My SQL Database option on and can see the data.
Whats your thoughts on WeeWX, easy to install ? any docs/notes/issues for doing it with SkyWeather?
Also just been looking around at the conflocal.py file and notice the section for '# device present global variables' Mine are all set to false, but my WeatherStem and MYSql are recording data from my sensors!!!!?
Thanks for the info about data mining coming to WeatherStem. Their website seams lacking on 'how to use' info. Do you you know what their data retention is and can you delete data etc (Just think thinking of the period I was testing the sensors and it was sending to WeatherStem etc)
One more question!!! Expansion! Can we plug 'more' sensors into the SkyWeather? To be honest I have no idea what other sensors I would want !! But would be good to know what other folk plug in if its possible.
1) Just heard back from WeatherSTEM about data mining. February 1st is the date! I don't have the documentation yet, but the do have documentation! I think the retention is forever.
2) WeeWX - Good stuff. Check the forums for info. Others have done it.
3) The device present state is just initialized in conflocal.py. Those variables are set by the startup detection routines in SkyWeather.py
4) Expansion. You can definitely add more sensors. We are going to add a UV sensor. People are looking at adding Volatile detection, CO2 and O2 for examples. Also some additional air quality information sensors. More sensors than we have time to do right now! We encourage people to publish their new drivers here on the forum.
They did. And I even know why! The programmer had a huge disaster at home (a leaking pipe that had got in the walls - mold and had also gotten under the flooring). He says it is over $100K of damage. And the insurance company says they aren't paying a dime.
I solved it differently. I'm still in a testphase, and the kit not yet outside facing the elements. As I use the raspberry PI Zero W - and wanted to minimise SD-Card wearing, I send the data to a remote DB on my Server, where I keep it temporarily. As I already have a full monitoring system in place (UI self developed), I wrote a script to extract the data from the MYSQL database and feed it to MRTG (backend) so I can then visualize it there (Rewrote some of the graphing layouts for it)