{"id":241,"date":"2020-03-29T15:48:25","date_gmt":"2020-03-29T06:18:25","guid":{"rendered":"https:\/\/sighmon.com\/says\/?p=241"},"modified":"2020-03-29T15:48:26","modified_gmt":"2020-03-29T06:18:26","slug":"enviro-plus-air-quality-sensors","status":"publish","type":"post","link":"https:\/\/sighmon.com\/says\/enviro-plus-air-quality-sensors\/","title":{"rendered":"Enviro+ air quality sensors"},"content":{"rendered":"\n

The Pimoroni Enviro+ sensors arrived, and they were really easy to setup and get started which is always nice. Because I had a Raspberry Pi A+ laying around from a previous project I decided to use that instead of buying a new W. Unfortunately the clearance to the USB port isn’t quite enough, so I had to use a header riser<\/a> to clear it.<\/p>\n\n\n\n

\"Pimoroni
Enviro+ sensors with a PMS5003 air quality sensor connected to a Raspberry Pi 3 A+<\/figcaption><\/figure>\n\n\n\n

After assembly I started with the basics using a Raspbian<\/a> image to test out the Pimoroni<\/a> sample code following their excellent tutorial<\/a>. The output from the all-in-one.py<\/a> script was pretty noise free and consistent. The only bug I hit was that on first boot I occasionally had to run the script twice to get the PMS5003 sensor to return values. Here’s a sample of the sensor data available:<\/p>\n\n\n\n

2020-03-11 12:16:33.346 INFO pm1: 4.0 ug\/m3\n2020-03-11 12:16:33.347 INFO pm25: 6.0 ug\/m3\n2020-03-11 12:16:33.348 INFO pm10: 10.0 ug\/m3\n2020-03-11 12:16:33.455 INFO temp: 23.8 C\n2020-03-11 12:16:33.509 INFO pres: 1020.0 hPa\n2020-03-11 12:16:33.562 INFO humi: 32.1 %\n2020-03-11 12:16:33.570 INFO ligh: 13.3 Lux\n2020-03-11 12:16:33.660 INFO oxid: 1.5 kO - nitrogen dioxide (oxidising)\n2020-03-11 12:16:33.661 INFO redu: 525.1 kO - carbon monoxide (reducing)\n2020-03-11 12:16:33.661 INFO nh3: 47.9 kO - ammonia (NH3)<\/code><\/pre>\n\n\n\n
My next step was to get Prometheus<\/a> (software to store the sensor data) and Grafana<\/a> (software to graph that data visually) installed and running so I could visualise what it looked like. Because I didn’t have a dedicated local server to run it on and wanted to containerise the software (with Docker<\/a>) in the long run, I decided to set it up on the Raspberry Pi.<\/p>\n\n\n\n
A couple of searches found a nice project to base it off of by Sven A. Schmidt<\/a>. I modified the Dockerfile to point to armv7 images for the Pi, and ended up with a nice multi-container docker-compose<\/a> that will also work well with Balena<\/a> (software to deploy lots of Raspberry Pis) in the future.<\/p>\n\n\n\n
The only trick to get that up and running was pointing Grafana at the Prometheus data-source address: http:\/\/prometheus:9090 to start graphing data.<\/p>\n\n\n\n
Next I needed to get a Prometheus data exporter to expose the Enviro+ data. Open Source projects are so great, because another search and I came across Tymen’s Enviro+ exporter<\/a>! He didn’t have the PMS5003 sensor, so I put in a pull-request<\/a> to add that feature. 🖤 Tymen also had a really great Grafana dashboard<\/a> setup, so here’s what the first data looked like:<\/p>\n\n\n\n
\"\"
The Pimoroni Enviro+ sensor output graphed by Grafana.<\/figcaption><\/figure>\n\n\n\n
Thinking of the end goal, it’d be great to containerise the sensor code – and again the Open Source community did most of the work for me! Zane Williamson’s project<\/a> was even built with Balena in mind, but it’s focus was exporting to Luftdaten<\/a>, so I forked his code and Git-submoduled<\/a> in the enviro+ exporter. The outcome, a Docker container running the enviro+ exporter<\/a>.<\/p>\n\n\n\n
The final next step is to pull all of this together into a Balena app and deploy it with a public IP address so you can all access the data and see what it looks like. Stay tuned.<\/p>\n\n\n\n
If you’d like to support this project and have the skills to build your own, please purchase a Enviro+<\/a> & PMS5003<\/a> sensor kit, and then let’s deploy the code to yours remotely so we can compare data.<\/p>\n\n\n\n
Else if you’d like to support me purchasing more hardware: paypal.me\/simonloffler<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Pimoroni Enviro+ air quality sensors exporting their data to Prometheus and graphed by Grafana.<\/p>\n","protected":false},"author":1,"featured_media":242,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[54,9],"tags":[58,56,57,55,14],"class_list":["post-241","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-raspberry-pi","category-sensors","tag-air-quality","tag-enviro","tag-enviro-plus","tag-pimoroni","tag-sensors","entry"],"_links":{"self":[{"href":"https:\/\/sighmon.com\/says\/wp-json\/wp\/v2\/posts\/241","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sighmon.com\/says\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sighmon.com\/says\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sighmon.com\/says\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sighmon.com\/says\/wp-json\/wp\/v2\/comments?post=241"}],"version-history":[{"count":5,"href":"https:\/\/sighmon.com\/says\/wp-json\/wp\/v2\/posts\/241\/revisions"}],"predecessor-version":[{"id":248,"href":"https:\/\/sighmon.com\/says\/wp-json\/wp\/v2\/posts\/241\/revisions\/248"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sighmon.com\/says\/wp-json\/wp\/v2\/media\/242"}],"wp:attachment":[{"href":"https:\/\/sighmon.com\/says\/wp-json\/wp\/v2\/media?parent=241"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sighmon.com\/says\/wp-json\/wp\/v2\/categories?post=241"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sighmon.com\/says\/wp-json\/wp\/v2\/tags?post=241"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}