Integrated system enables remote vehicle monitoring - Development of a scalable telematics platform for electric scooters
Typ
Examensarbete på kandidatnivå
Program
Publicerad
2020
Författare
Bergsten, Eva
Brovina, Albin
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
In recent years it has become important to put more and more technology in vehicles
in order to satisfy the user. When introducing all this technology in the vehicles it is
important to be able to analyze the data that becomes available. In this thesis work
it is investigated if it is possible to build a reliable platform that can extract data
from multiple electric vehicles, in this case electric scooters, and send it wirelessly
to a web client using existing technology. The possibilities such a platform opens
up for and how it could be used in the future is discussed.
To make a platform functional with existing technology it was required to learn
about and integrate different tools with each other. Which solution to be used for
which part of the system and to investigate and combine them into a complete system.
The thesis work resulted in a fully functional telematic platform that can extract,
decode, send and display data from a scooter. The platform consists of a Raspberry
Pi equipped with 4G and GPS using MQTT, Telegraf, InfluxDB and Grafana. It
is designed to be scalable for usage on multiple scooters at the same time. With
a few minor changes, the platform enables to present data from different vehicles
and not just an electric scooter, which means that this project opens up for many
possibilities when analyzing data.
Beskrivning
Ämne/nyckelord
IoT , MQTT , electric scooters , decoding , wireless transmission