Difference between revisions of "Raspberry Pi Environmental Monitoring"
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Michael.mast (talk | contribs) |
Michael.mast (talk | contribs) |
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mkdir -p /home/pi/build/air && cd /home/pi/build/air | mkdir -p /home/pi/build/air && cd /home/pi/build/air | ||
− | sudo apt install git-core python-serial python-enum mariadb-server | + | sudo apt install git-core python-serial python-enum mariadb-server python-mysql.connector |
wget -O aqi.py https://raw.githubusercontent.com/zefanja/aqi/master/python/aqi.py | wget -O aqi.py https://raw.githubusercontent.com/zefanja/aqi/master/python/aqi.py | ||
echo [] > aqi.json | echo [] > aqi.json |
Revision as of 13:40, 20 December 2019
Purpose
To monitor air temperature, humidity, and air quality.
Air Quality
A friend sent me a Nova PM Sensor. I do not know python yet, but looking over the script that is readily available[1][2] I should be able to modify this to work for my needs.
mkdir -p /home/pi/build/air && cd /home/pi/build/air sudo apt install git-core python-serial python-enum mariadb-server python-mysql.connector wget -O aqi.py https://raw.githubusercontent.com/zefanja/aqi/master/python/aqi.py echo [] > aqi.json sed -i 's|/var/www/html/aqi.json|/home/pi/build/air/aqi.json|' aqi.py
At this point we can run the script, see output on the screen, and see the history written to the json file.
./aqi.py Y: 18, M: 1, D: 18, ID: 0xbc2d, CRC=OK PM2.5: 0.0 , PM10: 0.0 PM2.5: 0.7 , PM10: 0.7 PM2.5: 0.6 , PM10: 0.6 PM2.5: 0.7 , PM10: 0.7
However, I want the history written to a database. Configure mariadb anyway you want, if you have credentials keep them on hand.
create database air; create user air; grant all on air.* to 'air'; use air; create table aqi (pm25 FLOAT, pm10 FLOAT, date DATETIME); select * from aqi; Empty set (0.00 sec) insert into aqi values (2.1, 2.3, now()); Query OK, 1 row affected (0.02 sec) select * from aqi; +------+------+---------------------+ | pm25 | pm10 | date | +------+------+---------------------+ | 2.1 | 2.3 | 2019-12-20 13:32:18 | +------+------+---------------------+ 1 row in set (0.00 sec)
Now we edit the script to work with mysql[3]