Comments (15)
Hi Victor. I've updated the README to provide more info on the Adafruit IO setup in response to your initial query. Have a look at that and, in the meantime, I'll look at your more detailed request.
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Hi Ross
Thank you for the quick reply. I have adapted the setting as you describe. Again, I get no errors but the data does not seem to send.
As I was adapting, it seems that something worked because I saw some values but it went away. I have now reproduced it as you describe and still cannot see the values. Is it possible that it takes longer to load in IO adafruit?
Any suggestion would be really helpful.
Thank you very much for all your help. I feel I am almost there.
Kind regards,
Victor
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Hi Ross,
I got it :) I am so happy about this. I can now get the premium package from adafruit IO and use the cooler and fancy display.
This is awesome :)
Thank you!
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Glad that you got it Vince. You also mentioned that you'll change the config.json to have "city_name": "Gold Coast" and "time_zone": "Australia/Queensland". If you do, you'll need to add a custom location to the "custom_locations" config data, so that the Astral database is updated. You can do that by changing it to read "custom_locations": ["Townsville, Australia, Queensland, -19.26639, 146.80569", "Gold Coast, Australia, Queensland, your latitude, your longitude"]. Let me know if that works.
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The unit won't send gas feeds until the gas sensors complete their 100 minute warm-up time. It's strange about the particle feeds, they should be sent in the first available feed window.
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All I can think of is that you might not be running Python 3 from your console. You could try "python3 file_name" and see if that works.
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Thanks so much for your feedback Victor and for prompting me to document the Adafruit IO setup. I've had a lot of fun working on this project and the Pimoroni examples on GitHub gave me a great head start. I'm delighted that you find it useful.
FYI, I've been working on a User Guide for some time now and I've just published it here: https://github.com/roscoe81/enviro-monitor/blob/master/User%20Guide/Northcliff%20Enviro%20Monitor%20User%20Guide-Gen.pdf
Hope you find it valuable.
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Yes Victor, that list of case parts is correct, however you only need the base if you're not mounting the unit on a wall. Also, you only need two pins per unit but the pins file prints eight pins at a time.
I've updated the files today to the my latest versions, so they're now all up to date.
I have no experience with 3D printing services, since I print my own parts but it looks like there are many services operating in Australia.
You'll also need a 40 way ribbon cable and connector assembly to interconnect the Raspberry Pi and the Enviro+. I use a 50 way cable from Jaycar (part number WM4508) cut to a length of 72mm and with 10 wires removed, a 40 way socket from Jaycar (part number PS0989) and a 40 way plug from Mouser (part number 517-4640-6001). The result is as per the photos.
Hope that helps.
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Related Issues (16)
- No module named 'paho' HOT 5
- Deployment Process HOT 1
- NameError: name 'aio_version_text_format' is not defined HOT 2
- Readings or compensation factors for temperature and humidity seem way off HOT 6
- UnboundLocalError: local variable 'parsed_config_parameters' referenced before assignment HOT 2
- [Question] PPM readings vs other recommendation guides HOT 2
- Your Watchdog File Name Here HOT 3
- adafruit.io has updated package offerings HOT 1
- Northcliff Enviro+ LCD control feature request
- Case HOT 3
- Example json and Adafruit IO Feed Setup HOT 1
- SyntaxError: Non-ASCII character '\xc2' in file Northcliff_AQI_Monitor_Gen.py on line 1103 HOT 11
- Send air_quality with mqtt message? HOT 1
- SyntaxError HOT 3
- Positive Feedback: This really works well. HOT 1
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