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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2025
License: CC BY NC SA
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Implementación de un gemelo digital para camiones con raspberry pi

Authors: Gálvez Ambrós, Pol;

Implementación de un gemelo digital para camiones con raspberry pi

Abstract

El presente Trabajo de Final de Grado tiene por objetivo implementar un sistema de monitorización que permita controlar variables como la temperatura y ubicación en un camión mediante una Raspberry Pi. Se realizará el proceso de montado y configuración de la Raspberry Pi, instalación del sistema operativo, conexión por SSH, instalación de módulos de sensores de temperatura y GPS, y el posterior control de la información recibida mediante Python. El objetivo es implementar un sistema que permita controlar y tener datos a tiempo real de las variables comentadas y poder mostrar esos datos en la plataforma de “IoT” de la EEBE, de manera que queden totalmente monitorizadas las diferentes situaciones, en las que un camión puede tener problemáticas diferentes con la temperatura, o con el tiempo para llegar a su destino, y toda esta información esté disponible para poder dar una rápida solución. También puede ser una alternativa de bajo presupuesto y personalizable para pequeñas y medianas empresas que de otra manera deberían hacer una inversión mucho más grande.

Aquest Treball de Final de Grau té per objectiu implementar un sistema de monitoratge que permeti controlar variables com la temperatura i ubicació en un camió mitjançant una Raspberry Pi. Es realitzarà el procés de muntatge i configuració de la Raspberry Pi, instal·lació del sistema operatiu, connexió per SSH, instal·lació de mòduls de sensors de temperatura i GPS, i el posterior control de la informació rebuda mitjançant Phyton. L'objectiu és implementar un sistema que permeti controlar i tenir dades a temps real de les variables comentades i poder mostrar aquestes dades a la plataforma de “IoT” de l'EEBE, de manera que quedin totalment monitoritzades les diferents situacions, en què un camió pot tenir problemàtiques diferents amb la temperatura, o amb el temps per arribar al seu destí, i tota aquesta informació estogio disponible per poder donar una ràpida solución. També pot ser una alternativa de baix pressupost i personalitzable per a petites i mitjanes empreses que altrament haurien de fer una inversió molt més gran.

The objective of this Final Degree Project is to implement a monitoring system that allows variables such as temperature and location to be controlled in a truck using a Raspberry Pi. The process involves assembling and configuring the Raspberry Pi, installing the operating system, connecting via SSH, installing temperature sensor and GPS modules, and subsequently controlling the information received using Python. The objective is to implement a system that allows for the control and collection of real-time data on the aforementioned variables and displaying this data on the EEBE IoT platform. This allows for fully monitoring different situations in which a truck may experience various issues with temperature or the time it takes to reach its destination, and all this information is available for rapid resolution. It can also be a low-budget and customizable alternative for small and medium-sized businesses that would otherwise require a much larger investment.

Country
Spain
Related Organizations
Keywords

Raspberry Pi (Computer), Internet of things, IoT, Trucks--Automatic control, Internet de les coses, Digital twins (Computer simulation), API, Àrees temàtiques de la UPC::Enginyeria mecànica, Raspberry Pi (Ordinador), MQTT, Camions--Control automàtic, Rèpliques digitals (Simulació per ordinador), gemelo digital

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green