This week I worked on a way for the Raspberry Pi to automatically plot graphs when collecting data from the sensors.
The solution was using Matplotlib, a feature/application within the Raspberry Pi that allows us to code a program that will plot graphs.
So far, only the DHT22 humidity and temperature and SEN0233 PM 2.5 Sensor were successfully plotted graphs with; The graph plotting python programs for the rest of the sensors still need to be worked on.
This week is the semester break for UniKL BMI.
I went to Jalan Pasar in KL to look for wires for me to assemble my complete project later with.
I successfully re-wrote the Python program so that the results from the sensors can be displayed simultaneously and continuously.
Furthermore, I started testing the LIDAR camera for my project, but found that the Raspberry Pi had an insufficient number of ports available for the LIDAR camera's use.
The figure above shows the results obtained from all four air quality sensors connected on the Raspberry Pi.
This week I connected all of the sensors onto the Raspberry Pi so that all the sensors can collect data simultaneously. This meant that the Python program required to run these sensors had to be edited accordingly.
I successfully found a way to run all sensors simultaneously although the results were only displayed once, which means the Python program has to be worked on further in the next coming weeks so that the results can be displayed continuously while working simultaneously.
