Integrated system enables remote vehicle monitoring - Development of a scalable telematics platform for electric scooters

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Examensarbete på kandidatnivå
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2020
Författare
Bergsten, Eva
Brovina, Albin
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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.
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IoT, MQTT, electric scooters, decoding, wireless transmission
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