Simple Python Sensor Library

THIS REPOSITORY IS DEPRECATED AND NO LONGER MAINTAINED OR SUPPORTED

This is a small and simple library to collect data using Sensirion sensors with Python. Currently the following sensor chips are supported:

• SHT3x (temperature and humidity)
• SF04 (flow and differential pressure chip) used in the following products:
  • SDP6xx Series
  • SFM4xxx Series
  • SLx Series
  • Lx Series
  • LPG Series
• SF05 (flow and differential pressure chip) used in the following products:
  • SFM3xxx Series

Library

The library functions are located in the file sensirion_sensors.py. The different functions and classes are documented in the source code.

Examples

The library comes with three examples that show different ways to use the library:

1. sync_example.py

   Command line tool that reads all sensors synchronously with the same sampling frequency. The data can either be plotted to the console or stored in a file.

2. async_example.py

   Command line script that reads every sensor asynchronously with an individual sampling frequency.

3. streaming_example.py

   An example script that streams all sensor data to a local MQTT broker. The format of the MQTT payload is JSON, an example for an SHT sensor is included below. Timestamps are in seconds since 1970.

   {
       "timestamp": 1441799806.62,
       "values": [ 24.35, 53.21 ],
       "units": [ "°C", "%" ]
   }
   

4. streaming_client.py and streaming_plot_client.py

   These scripts demonstrates how to connect to a remote broker and subscribe to sensor data. The streaming_client.py script simply prints all values to the console. The streaming_plot_client.py script opens up a window using Qt and shows live plots of all sensor values that are streamed.

Further Documentation

Current version of this library: https://github.com/Sensirion/libsensors-python

Paho mqtt library reference: http://www.eclipse.org/paho/clients/python/docs/

The Mosquitto MQTT broker: http://mosquitto.org/documentation/

Building the Kernel for Raspberry Pi: https://www.raspberrypi.org/documentation/linux/kernel/building.md