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Verhaert

Sector

Mobility

Internet of things

Web apps

Challenge

In this project, Controller Area Network (CAN) bus signals and humidity sensor cloud data were used to determine the driving conditions of various vehicles. Our contribution to this research and development initiative, carried out in collaboration with Valeo, focused on the development of an intermediary cloud system that enables communication between the embedded devices developed by Verhaert, which send data over a private network, and the Valeo Cloud.

 

Our approach

To begin, LOAD investigated the most efficient approach to promoting interoperability across multiple environments and platforms. In doing so, it was essential to consider the following aspect:

  • the vehicle;
  • the IoT devices, connecting to a LoRA Network;
  • data sharing and data curation on our cloud service, storing cured data on BigQuery (from Google); and
  • a Dashboard that represents in near-real-time the current condition in the vehicles.

The next step was to design an optimal architecture and protocols that could be deployed from point A (i.e., the vehicles) to B (i.e., the dashboard), taking into account all relevant systems and requirements. Finally, we integrated all the components, including the vehicles and the IoT/embedded devices, leading to the development of the system by LOAD.

valeo telemetry with sensors load project

Skills &
Technologies

BigQuery

CSS3

Express.js

HTML5

Javascript

MongoDB

Mosquitto

Node.js

SASS

jQuery

Results

The intermediary cloud system we developed receives and stores the raw data coming from the vehicles and then processes it in a format compatible with Valeo’s cloud system. We also developed a dashboard to present the data collected in our intermediary cloud system in an easily accessible form. The collected data enables the monitoring of various vehicle parameters, such as location, speed, temperature, light status and other sensor data.

ENPT
lang
Load-chatbot