{"id":273,"date":"2017-10-04T22:36:36","date_gmt":"2017-10-04T15:36:36","guid":{"rendered":"http:\/\/dataexponent.com\/?p=273"},"modified":"2018-07-04T23:53:12","modified_gmt":"2018-07-04T16:53:12","slug":"laser-pm2-5-sensor-sds011-build","status":"publish","type":"post","link":"https:\/\/dataexponent.com\/?p=273","title":{"rendered":"Laser PM2.5 Sensor–SDS011 Build"},"content":{"rendered":"

Way back in the “Thailand Days”<\/em><\/strong>\u00a0several of us guys helped run the Grace International School Tech Club. We had a lot of fun working with high school students making cool things. Together we made multiple robots using the the Arduino microcomputer platform<\/a>.<\/p>\n

However, this project started out as a pollution monitoring project.\u00a0 Chiang Mai, Thailand suffers from sever seasonal pollution, mostly as a result of agricultural burning in the hottest time of the year. The pollution is so severe that students are kept indoors on the worst days.<\/p>\n

Back about 2012, the US Consulate donated an\u00a0research-grade Met One\u00a0 E-Sampler Particulate Monitor<\/a>\u00a0to the school for us to operate and publish the air pollution status to the community. This was really touchy technology and we fought internet battles to keep the sight up. But, with help from Chiang Mai University we measured the weight of smoke, calibrated this very high-tech device, and used it until it broke.<\/p>\n

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Ken with the Met One Pollution Monitor mounted at the Grace International School soccer field.<\/figcaption><\/figure>\n

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Actual air pollution captured by the Met One device. This was taken to the Chiang Mai University laboratory where it was cleaned, dried, and weighed to calculate the actual amount of pollution in a given volume of sampled air.<\/figcaption><\/figure>\n
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Ken with Chiang Mai University air pollution research scientist at the Chiang Mai University Air Pollution Research Station.<\/figcaption><\/figure>\n

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After multiple attempts to keep this device operational we gave up and switched to a more DIY solution. Working with Andrew May, the head of the Grace International School Science Department, and Adrian Oliver, the owner\/operator of the PocketWeather application we built a set of simple, but accurate and reliable, pollution monitors that we could operate ourselves based of the Nova Fitness\u00a0Laser PM2.5 Sensor–SDS011<\/a> module. The spec sheet for the SDS011 can be downloaded here<\/a>.<\/p>\n

My first version was Arduino based and\u00a0operated as one of the official Chiang Mai, Thailand pollution monitoring sites, along with Grace International School.\u00a0When we moved back to Michigan I changed over to\u00a0a home-built\u00a0Raspberry Pi<\/a> version to be more like the others monitoring devices in the set.<\/p>\n

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SDS011 \/ Raspberry Pi pollution monitor project board located in the basement of the house.<\/figcaption><\/figure>\n

My\u00a0pollution monitor version lives down in the basement crawlspace and is built from a Rasberry Pi communicating to the SDS011 particulate sensor – along with a DHT22 humidity sensor.<\/p>\n

The SDS011 is in the lower left hand corner of the project board. The DHT22 is in the little plastic bottle that is part of the plumbing on the lower right of the project board. Of course, the Raspberry Pi is the upper half of the project board.<\/p>\n

The Raspberry Pi communicates wirelessly to the Adrian’s PocketWeather\u00a0 server and can be seen here on this webpage:\u00a0 https:\/\/aq.ajosoft.com\/index.php?StationID=2166&Country=USA&sort=0&units=0<\/a><\/p>\n

Link to update post:\u00a0https:\/\/dataexponent.com\/?p=283<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Way back in the “Thailand Days”\u00a0several of us guys helped run the Grace International School Tech Club. We had a lot of fun working with high school students making cool things. Together we made multiple robots using the the Arduino microcomputer platform. However, this project started out as a pollution monitoring project.\u00a0 Chiang Mai, Thailand … Continue reading “Laser PM2.5 Sensor–SDS011 Build”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":274,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[20,64,62,67,66,65,68,61,63],"class_list":["post-273","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-arduino","tag-dht22","tag-diy","tag-pm-10","tag-pm-2-5","tag-pollution-monitor","tag-pollution-monitoring","tag-raspberry-pi","tag-sds011"],"_links":{"self":[{"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/posts\/273","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dataexponent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=273"}],"version-history":[{"count":5,"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/posts\/273\/revisions"}],"predecessor-version":[{"id":285,"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/posts\/273\/revisions\/285"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dataexponent.com\/index.php?rest_route=\/wp\/v2\/media\/274"}],"wp:attachment":[{"href":"https:\/\/dataexponent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=273"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dataexponent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=273"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dataexponent.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=273"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}