This past week we solidified the overall structure and flow of our data pipeline. We plan on having two processes running on the RaspberryPi at the same time. One process will be continuously receiving, filtering, and decoding the CANbus data and writing it into a local SQL database. The other process will be reading and analyzing each new entry from that local database. After processing the data, we decided that the second process will send it to the AWS IoT console via MQTT protocol. Lastly, the web application will read all the data written to the AWS console and visualize it with charts and graphs. We also discussed how we are going to integrate the different software components. We decided on the format that the data would be in so that we could build our separate pieces of software knowing how the data will look when it is received. Lastly, we decided on the specific pieces of information we would need from the CANbus in order to perform a quality analysis of a person’s driving.
Carnegie Mellon ECE Capstone, Spring 2021 | Ryan Vimba, Samraj Kalkat, Reid Yesson