CBL - Campus del Baix Llobregat

Projecte llegit

Títol: Tecnología Hyperledger Fabric para la monitorización de taludes

Estudiants que han llegit aquest projecte:

Director/a: MORA SERRANO, FRANCISCO JAVIER

Departament: DECA

Títol: Tecnología Hyperledger Fabric para la monitorización de taludes

Data inici oferta: 05-07-2024     Data finalització oferta: 05-03-2025


Estudis d'assignació del projecte:
    GR ENG SIS TELECOMUN
    GR ENG SIST AEROESP
    GR ENG TELEMÀTICA
Tipus: Individual
 
Lloc de realització: EETAC
 
Nom del segon director/a (UPC): Claudio Zinggerling (CIMNE-TIC)
Departament 2n director/a:
 
Paraules clau:
Blockchain, Hyperledger fabric, API web
 
Descripció del contingut i pla d'activitats:
En el ámbito de las aplicaciones IOT, cada día es más habitual que
las empresas quieran garantizar que los datos obtenidos desde los
sensores no puedan ser manipulados ni actualizados luego de que,
estos se informen o envíen a un servidor o base de datos.
El objetivo de este trabajo es, instalar en un servidor
propietario, una instancia de la aplicación Blockchain hyperledger
fabric, agregar assets o datos generados por los sensores en la
cadena de bloques y visualizarlos de manera simplificada en una
interfaz web.
 
Overview (resum en anglès):
The following work, "Hyperledger Fabric Technology for Slope Monitoring," involves the implementation of a proof of concept based on the development of an application using blockchain technology, specifically Hyperledger Fabric, which is a permissioned and modular platform designed primarily for enterprise application.
The mentioned monitoring system is an application developed in the geotechnical field by a consortium of three companies: CIMNE, Pigra, and Quatech. This system is based on the creation of a program trained with composition data from the Montjuïc slope in Barcelona and various predictive models. The aim is to forecast the behavior of this slope to prevent potential future accidents that could put neighboring infrastructure at risk.
The purpose of using blockchain technology is to add traceability, transparency, and immutability to the collected data. For this project, the data includes precipitation predictions from Meteocat (the Catalan meteorological service), forecasts from a Hybrid Artificial Intelligence (created and trained by CIMNE using various predictive models), and data collected by the Raval weather station, which is the closest to the study area. A simple web application, built with Vite, React, and TypeScript, has been created to visualize the collected data.
Throughout this work, which has been carried out in collaboration with the CIMNE team, an analysis of blockchain technology, its evolution over time, and how it functions is conducted. The focus then shifts to Hyperledger Fabric technology, which is the foundation of this project, to understand how it works and how to configure this network according to the application's requirements, as well as the web configuration.

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