The challenge of this particular project was to use CAN (Controller Area Network) bus signals and humidity sensor cloud data to figure out the driving conditions of any vehicle. Our contribution for this R&D project with Valeo resides on the intermediary cloud system between the embedded devices (developed by Verhaert) that send data across a private network and “Valeo Cloud”.
Load began by trying to understand what was the best mechanism to create interoperability between all environments and platforms. There was something to bear in mind:
The next step was to define the right architecture and protocols that could be used from point A (the vehicles) to B (the dashboard), based on all systems and requirements involved. As a final step, we put all the pieces together, considering the vehicles and the IoT/embedded devices which then led to the development of the system by Load.
The intermediary cloud we developed handles raw data that comes directly from the vehicles, stores it, and finally, processes it in a way that is easily handled by Valeo’s Cloud System. To facilitate the visualization of all gathered information, we designed and developed a dashboard to represent the data stored in our intermediary cloud system.
Gathered data allows to observe the location of the vehicle, and keep track of its speed, temperature, lights status, as well as all additional sensors.