Ok, see final draft, ready for sending to FTC - any last comments let me know on the deck
I’ve also ordered the boxes @p.j
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Great stuff – I like the new breakdown of costs. I’m wondering whether we should add the word “suggested” to the 20% donation line (fully expecting them to pay it, but making it a bit more palatable)?
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I found some 3D printing resources on the luftdaten website (brackets, housings etc.) Might want to offer ours too:
We’ve had a response from FTC. They have approved our proposal! I’m going to speak to them again tomorrow just to clarify a few details. I’ll update you and we should now be full steam ahead 
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Ok latest update.
I just spoke to FTC.
- It’s not actually been formally ‘approved’ but Anna is now happy with it and will forward onto her manager for sign off
- She feels confident that it will be approved and go through and is keen for it to get started ASAP
- She is busy thinking of potential locations, and I suggested we could provide a ‘cheat sheet’ or document that tells the person who is hosting the sensor what to expect
Nearly there!
I’ve created a project space to hold all links, documents and thinking - https://www.notion.so/fromeairsensing/Frome-Air-Sensor-project-a3c4bc40375941b096f836396fffe27a
I can confirm the Air Sensor project funding has now been signed off and approved by the council! Thank to all those involved as it has been a team effort!
Now we have to go and build it!
This funding will enable Tech Shed Frome to really open up our doors when the time comes to new and exciting initiatives.
Join us tonight at 7pm tonight to work out what’s next!
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There might be problem with the layout in the housing.
After 5 hrs with temperature in the room 23ºC (measured with 2 other sources), the temperature is reading 27ºC so likely it’s picking up heat build-up from the dust sensor:
The PPM values are still high too - I blew out the 3D printed ducting with the air duster, but haven’t done the dust sensor itself yet.
I’ve air dusted the sensor unit and moved the temperature sensor to next to the intake vent of the housing to see if it helps.
Guessing its a bit early to apply - https://www.tech4goodawards.com/enter-now/community-impact-award/
Using data networks for sensors @p.j @Will @qscons @Al_B
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https://www.o2.co.uk/business/why-o2/our-mobile-network-for-business
https://www.ispreview.co.uk/index.php/2020/02/o2-begins-to-rollout-first-uk-lte-m-network-for-iot-in-2020.html
Concept next phase me and @Will have been working on - https://projects.invisionapp.com/share/EMXY1ZW8KNC#/screens/424011847_Home
Possible application for funding that Johannas passed on
South West Creative Tech Network has a funding call (£10-£40k available) just opened
Submission deadline is early September, but it’s not quite in-line with what we’re looking for as a company, so thought I should share with you folks to share around your local networks, it might be something that could help you finally get around to the weird side project you’ve been making notes about for years.
Notable jump in particulate matter in 2 peaks at 23 Bath St today:
But in the “Low” pollution band.
at that same site on the 1st July, we did see “Very High” mid-morning nut not for a sustained period, with a peak of >160µg/m³ PM10
That shows up as
- 2.00µg/m³ geometric mean for the hour
- 16.8µg/m³ arithmetic mean for the hour
I’m adding a blog soon, so we’ll be great to put this type of stuff in it
Thanks Will. I think we should be thinking of ways to slice and present data. A bad hour is bad enough, if it’s the hour that you happened to be walking by. I’m thinking of phrases like ‘worst hour this week’ or ‘worst air for 24 days, measured hourly’ or something like that. That is, looking not at averages but at excursions, and trying to present it in a moderately human-friendly way.
Interesting - so like “gamified” badges, only bad 
Once I’ve done the latest UI changes, I was thinking we could write in an anomaly detector to auto-things like the above either with a “weird event” badge or request for comment/annotation. Would be better done on the backend, but as a PoC we there are some opensource JS anomaly detection libraries around.
It’s surprising (to me) that the existing projects (so far as I can tell) don’t have anomaly detection built in.
I feel there’s an art to be developed, of presenting terms like “90% percentile” or ''500-year flood" in terms that make immediate sense to everyone.
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In order to help free up some of the load on PJ, we’re looking for someone that can help with the design of sensor units housing and assembly. If anyone is interested in knows anyone please get in touch