Descrizione del progetto
Tre sensori per evitare le cadute
Gli alberi e i pali di legno che sostengono le linee elettriche possono cadere per vecchiaia, a causa di venti intensi oppure in seguito ad altri disastri o incidenti. Qualunque sia il motivo, di solito il risultato è sempre lo stesso: gravi danni apportati sia all’ambiente, sia ai cittadini. Alla luce di tali premesse, il progetto TreeVoice, finanziato dall’UE, svilupperà una tecnologia di monitoraggio che consente la manutenzione predittiva delle aree verdi. In particolare, il progetto si avvarrà di dispositivi connessi (IoT) e dell’IA al fine di fornire un’analisi in tempo reale sulla salute degli alberi e di rilevare condizioni nocive che comportano le cadute degli stessi, oppure dei pali di legno. I sensori di TreeVoice saranno in grado di individuare le deviazioni nei normali modelli di vibrazione degli alberi, nella temperatura e in altri parametri ambientali relativi al legno.
Obiettivo
Treevoice is an ambitious and unique project exploiting IoT, Artificial Intelligence, M2M technologies and Structural Health Monitoring techniques to enable predictive maintenance of green areas and telecommunication infrastructures in urban and extra-urban scenarios, ensuring real time analysis of trees health and detecting harmful conditions leading to trees or wooden pole falls, which are a severe cause of damage to both citizens and the environment. The innovative sensor manufactured by Treevoice S.r.l. is able to sense and identify deviations in the normal vibration patterns, temperature and other environmental parameters in the wood, while the sophisticated machine learning algorithms in the cloud allow to predict and prevent falling events, while also helping reducing direct and indirect costs related to accidents caused by falls and maintenance of green areas and infrastructures in Smart Cities, boosting green growth.
Treevoice S.r.l. has already developed and tested several prototypes of the innovative tree sensor, together with the software infrastructure necessary for data collection and analysis, and aims to perform a sound testing and validation study on a real urban environment. The first on the field extensive experimentation will take place in the municipality of Rome, where the installation of 100 sensors is going to start. The company will develop a detailed technical and business feasibility study during Phase 1, focusing on the industrialization of the system, performing the validation and testing campaign by installing 100 tree sensors, deeper training the machine learning algorithms in the cloud enabling new services, while also consolidating and refining the Business Model, assessing the achievable markets, and profiling and involving customers, investors and key stakeholders.
Campo scientifico
- engineering and technologycivil engineeringurban engineeringsmart cities
- engineering and technologycivil engineeringstructural engineeringstructural health monitoring
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- agricultural sciencesagriculture, forestry, and fisheriesforestry
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-1
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
00198 ROMA
Italia
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.