Descrizione del progetto
Manutenzione stradale europea nel cloud
Le strade europee sono disseminate di buche, nonostante la sorprendente cifra di 6 miliardi di euro spesi ogni anno per la manutenzione. Il problema è una strategia correttiva inefficiente per la riparazione del fondo stradale, a causa dei costi elevati dei servizi di ispezione umana. Non esiste una strategia di prevenzione mirata, ecologica ed efficiente. Il progetto PAV-DT, finanziato dall’UE, sta lavorando a una soluzione. Sta sviluppando una nuova tecnologia rivoluzionaria a basso costo basata su un algoritmo avanzato, una piattaforma cloud da installare e utilizzare su qualsiasi veicolo. Questa apparecchiatura rende l’individuazione e la segnalazione di informazioni sui problemi stradali immediata, economica e semplice. In questo modo si garantisce che le riparazioni e la manutenzione necessarie vengano eseguite in tempo.
Obiettivo
Despite the huge public budget effort (6.000M€/year) for road pavement maintenance, the European road network (5.5M km) is not in an acceptable condition. Current pavement maintenance strategies are mainly based on corrective maintenance which is an inefficient and costly approach, with negative impact on pavement service life and road safety, and also on the environment.
In order to be able to implement a maintenance strategy based on preventive operations of much lower cost carried out at the optimal moment (predictive maintenance), it is necessary to have continuous and accurate information of the pavement condition, something that is not possible at present due to the high cost of current inspection services.
PAV-DT is a disruptive technology that can be installed in any customer vehicle (e.g. public road administrators and concessionaires or construction companies on performance-based maintenance contracts) in order to convert these vehicles into a very low-cost real-time pavement inspection equipment through its ordinary circulation. Additionally, thanks to our advanced algorithm and a cloud-based platform, customers will be able to access the latest available information on the pavement condition at any moment and receive information on which maintenance actions are really required, and exactly where they should be applied and when is the best moment to deploy a truly cost-effective maintenance strategy.
PAV-DT consortium formed by APPLUS (Spain), BECSA (Spain), M&S (Austria), MICRO-SENSOR (Germany) and IMM-UPV (Spain) agreed on creating a Joint Venture for the commercial exploitation of the results as soon as the project is completed through a Product-as-a-service business model. Revenues of more than 38.8M€, with an associated profit of 25.5M€ and the creation of 52 new highly qualified jobs are expected within the first 3 years. Thanks to this investment in PAV-DT, these customers will experience savings of more than 746M€ over that period.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
Programma(i)
Argomento(i)
Meccanismo di finanziamento
IA - Innovation actionCoordinatore
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