Sensirion_SPS30

Python script to read multiple fine particles (PM1 to PM10) from Sensirion SPS30. The script can work with multiple devices connected to USB hub

Set up

• Communication via UART with a SLAB CP2102 adapter
• For the pin, refer the SPS30 datasheet stored here or on SparkFun
• Connect pin TX (on USB adapter) to RX pin (on SPS30)

Run

• if you have all SPS30 connected to USB hub, then you can run all devices by

    usbs = get_usb()
    print(usbs)
    process = list()
    for port in usbs:
        p = SPS30(port=port, push_mqtt=True)
        process.append(p)
    print('Starting')
    while True:
        for p in process:
            p.run_query()
  

• if you want to specify then manually goes through each port and make an instance for each device like this: ``` s1 = SPS30(port=’/dev/ttyUSB0’) s2 = SPS30(port=’/dev/ttyUSB3’) while True: for p in [s1,s2]: p.run_query()

- data is logged into CSV file by default, to only read the CSV on terminal then set `save_data=False` like this:

s1 = SPS30(port=’/dev/ttyUSB0’, save_data=False)

- in addition, if you want to push data to MQTT server, than config the details:

MQTT host, users

mqtt = ‘192.168.1.100’ # change this topic = ‘sensor/sps30’ # and this auth = {‘username’: ‘mqtt_user’, ‘password’: ‘mqtt_password’} # and these two

- and specify the this option:

p = SPS30(port=port, push_mqtt=False) ```

Data analysis

• analyze data by each sensor using different moving average (to smooth out the data)

• or plot PM1 to PM10

• or to compare several sensors at one (in which this script is very useful)

• or to simpify by only the mean and standard deviation from multiple sensors

Credit

The core of Python Inteface with SPS30 was forked from feyzikesim