Air quality with SDS011

Channel ID: 357142
Author: tthosta
Access: Public

Location: Germany (BW); Measurement of air quality with SDS011 sensor and raspberry pi.
air quality, sds011, pm2.5, pm10, raspberry pi, bme280, temperature, pressure, humidity



Air quality with SDS011 Channel Feed:	JSON XML CSV
Field 1 Data: Air quality PM2.5 [µg/m3]	JSON XML CSV
Field 2 Data: Air quality PM10 [µg/m3]	JSON XML CSV
Field 3 Data: Temperature [°C]	JSON XML CSV
Field 4 Data: Air pressure 300m a.s.l. [hPa]	JSON XML CSV
Field 5 Data: Humidity [%H]	JSON XML CSV
Field 7 Data: Controller temperature [°C]	JSON XML CSV
Field 8 Data: Sensor time offset [s]	JSON XML CSV

More Information

MATLAB Analysis MATLAB Visualization

Air quality PM25

Air quality PM10

Field 1 Chart

Field 2 Chart

Field 3 Chart

Field 4 Chart

Field 5 Chart

Field 7 Chart

Field 8 Chart

Channel Status Updates

Channel Location

Add comment

tomlang almost 7 years ago

hi i'm tom

i'm doing a huge project for my school about air pollution.
but i can't find any code to make my sensors work.
i see that i use the same kind of sensors.

can i please have your code?
my e-mail adres is "tom2.langedock@gmail.com"
thanks

dansof over 6 years ago

Hi, if is possible can you send me the code?

Thank you very mutch

daniele.sof@gmail.com

rabin77 about 6 years ago

if you got that code then send me too

jonboy43 almost 6 years ago

COULD YOU PLEASE SEND ME THE CODE.
REGARDS
JH
johnhardmann@gmail.com

raspiweather almost 6 years ago

Where exactly is it ? Is it a 'official' counter or selfmade ? For which purpose do you got this ? BTW great work!
Grüssle,
Danny

tthosta almost 6 years ago

The location is in the south-west of Germany, near Stuttgart and it's selfmade.

jonboy43 almost 6 years ago

COULD YOU PLEASE SEND ME THE CODE.
REGARDS
JH
johnhardmann@gmail.com

tthosta almost 6 years ago

What's your intention and what's your hardware?

robyuk over 5 years ago

hi, I have got a Rpi zero wireless + SD011 + DHT22. Just purchased these units due to new incinerator built nearby! I wonder if you could please share the python script so that I can upload the information on ThingSpeak. I would much appreciate your help! Roberto

tthosta over 5 years ago

Hello,

You can try GitHub to look for templates?
For example:
https://github.com/hyanghee/check-dust

BTW: Why do you think it's python?

robyuk over 5 years ago

i managed to connect the rpi and SD011 and i can get the results locally via a py (phton?) script. the problem is i am unable to upload on thingspeak. I can upload from ESP8266 as i am familiar with arduino code, but i am not good with rpi coding. i will check out the link you kindly provided, i had not found this before. thanks!

tthosta over 5 years ago

You're welcome.
If you have further problems uploading to thingspeak, I share my python module.

tthosta over 5 years ago

The python mdolue to upload is now available at MathWorks FileExchange (Search "bulk-update").

robyuk over 5 years ago

thanks very much, i have downloaded it and will look over the next few days! much appreciated.

mwa0000018111045 over 4 years ago

Hello. Did you find the module ? I have the same configuration than you, raspberry and sds011. I can see the log localy but I would like to send data to my channel like tthosta :)

Thx

dniemeier2012 over 5 years ago

Hi Thomas,

First of all: good job.

I just noticed that your atmospheric pressure is rather low compared with the official meteorological measurements in the Stuttgart area . This is because the BME measures the absolute pressure. I ran into the same problem when I started using my BME.

In order to obtain normalized valued ("sea level") the BME pressure needs to be corrected by a factor given by the barometric altitude formulae. It doesn't need to be one of the sophisticated versions, the most trivial will do: p(sea level) = p(bme measured) • exp(actual height / 8430) (in meters).

From the location you have given and assuming that the sensor is not on ground level my estimation of the actual altitude is roughly 280m (see OpenTopoMap for iso altitude lines). You might have better data. exp(280/8430) = 1.0337 and right now (25.07.2017, 23:00) using the pressure data of your sensor yields a corresponding sea level pressure of 1012hPa which is in perfect agreement with the sea level pressure of 1013hPa measured at the Stuttgart Airport at the same time. That less than 0.1% difference! Of course the pressure might be indeed slightly different because of the distance between the two locations ...

You might want to try more sophisticated versions of the barometric altitide formula (taking into account humidity and temperature, for example) but you'll find that the results will be very similiar. We should also keep in mind that the BME pressure results are not error free.

Hope that helps (to improve your results).

Best regards
Dirk (dniemeier2012)

tthosta over 5 years ago

Hello Dirk,

Yes, You are right.

Because I'm mainly interested in change of air pressure over time, I decided not to adjust the data to sea level.
So, because the sensor is installed about 300m above sea level, the measured pressure is 3.5% lower then pressure at sea level.
Or, for rough estimation, because the air pressure is usually between approximately 970hPa and 1030hPa, the measured pressure is about 35hPa lower.

I checked this with data from DWD at
https://www.wetterdienst.de/Deutschlandwetter/Stuttgart/Aktuell/107390
better for you:
https://www.wetterdienst.de/Deutschlandwetter/Stuttgart/Aktuell/107380

Nevertheless, I adjusted the title of the chart to make this more clear.
Thank you for the hint.

Best Regards

Thomas

P.S.:
Ursprünglich stamme ich aus Echterdingen und bin teilweise in Leinfelden zur Schule gegangen.

dniemeier2012 over 5 years ago

Die Welt ist so klein ... ;)
Ich bin im übrigen noch in der "proof of concept" Phase. Regen UND Wind fehlen noch völlig, Feinstaub wollte ich erst auch, aber wo soll hier im Wohngebiet Feinstaub herkommen? Deine Ergebnisse deuten darauf hin, dass sich der Aufwand wirklich nicht lohnt ...
Grüßen aus LE!

zayarphyopyaewin over 5 years ago

Now I am doing Air pollution monitoring system for my school project with the gas sensors by using Arduino microcontroller. i want to use my sensors to work properly.
Please can I have your code?
My email is zayar.win93@gmail.com
Thanks.

mwa0000018158124 over 4 years ago

Hello Thomas,
I'm trying to deploy a system for my final project for college; the air pollution levels are sent on to the thingspeak.com but for some reason the channels stay blank. Can I please please have a look at your code at least for comparison and see what I should adjust ?
My email address is 9purpleberries@gmail.com
Many thanks

tthosta over 4 years ago

Hello Maria,
I used the example from
https://de.mathworks.com/help/thingspeak/continuously-collect-data-and-bulk-update-a-thingspeak-channel-using-a-raspberry-pi-board.html

mwa0000018212562 over 4 years ago

COULD YOU PLEASE SEND ME THE CODE.
REGARDS enmarcor@hotmail.com

mwa0000022373519 over 3 years ago

Hello, great work
can I have the codes for this? Would like to try it myself for school project.

email: dd180008@siswa.uthm.edu.my

mwa0000024521661 about 2 years ago

Hi, can i ask how your channel status update had been display, because mine it shows blank in my frame. hopefully you can help me to solve this problem

tthosta about 2 years ago

Hi,
it is a python script adding the follwing after values:
reqline += '&status=' + datetime.datetime.fromtimestamp( ts ).strftime( '%H:%M:%S' ) + ':%20new%20data'

mwa0000031083968 about 1 year ago

hi, can you tell me please, how you make the GPS map? thank you :)

tthosta about 1 year ago

You can activate "Show Channel Location" under "Channel Settings".

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Air quality with SDS011

Export recent data

Air quality PM25 IFrame

Air quality PM25 Options

Air quality PM10 IFrame

Air quality PM10 Options

Field 1 Chart IFrame

Field 1 Chart Options

Field 2 Chart IFrame

Field 2 Chart Options

Field 3 Chart IFrame

Field 3 Chart Options

Field 4 Chart IFrame

Field 4 Chart Options

Field 5 Chart IFrame

Field 5 Chart Options

Field 7 Chart IFrame

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Field 8 Chart IFrame

Field 8 Chart Options

Channel Status Updates IFrame

Channel Location IFrame