Descrizione del progetto
La tecnologia dei gemelli digitali per il monitoraggio ecologico
I rapidi progressi nel campo delle tecnologie digitali, come i gemelli digitali, l’intelligenza artificiale e l’apprendimento automatico, ha aperto strade promettenti per le azioni intraprese a favore dell’ecologia ambientale, tra cui la conservazione, la ricerca e il ripristino. Queste tecnologie offrono migliori capacità di monitoraggio, potenzialmente in grado di migliorare la nostra comprensione dei processi ecologici e della biodiversità. Il progetto DIGI4ECO, finanziato dall’UE, si prefigge di sviluppare un sistema di monitoraggio ecologico in 4D supportato dai gemelli digitali e realizzato da reti di piattaforme robotiche, adatto per gli sforzi di ripristino in aree caratterizzate da esaurimento delle risorse ittiche. Inoltre, il progetto intende migliorare la sicurezza, la protezione e l’efficienza del flusso di dati sviluppando metodologie innovative e fornendo kit di strumenti volti a garantire l’affidabilità dei dati. Infine, DIGI4ECO si propone di assicurare l’accessibilità dei dati e di dimostrare e migliorare l’efficacia del suo sistema.
Obiettivo
To unlock and boost new discoveries that will be crucial to face climate change, and regulate human actives, which will be key for both environmental conservation and socio-economical activities. We aim to make all the past, current, and future biological and oceanographic data available to everybody. Therefore, we will use relevant sleeping data, by designing new tools and methodologies to use and process relevant data already collected for different institutions, which may come from physical and chemical sensors, or video cameras. We will also harmonize the data, promoting tools to make them the standard among researchers and data-generator actors, developing protocols and best practices, like standardization tools as PUCK among marine sensors and monitoring platforms, and unifying libraries and resources (e.g. FanthomNet or Emodnet). At the same time, we will ensure a secured, sustained and reliable data flows by developing auto correction/validation methodologies and by publishing a set of tools and pipelines to ensure the trustfulness of data. Moreover, we will be using economies of scale and enhanced standardization to conduct several pilot sea-basin scale monitoring tests using two strategies: (1) using existing relevant sleeping data form online and partner repositories, and (2) using new data collected during field test demonstrations. Here, we will develop tools to better support assessment: studying and identifying key indicators and mechanisms to extract them from the data will generate the appropriate guidelines for policymaker, researchers, and socioeconomic sectors. Making those tools, methodologies, and implementations open source for the researchers and public in general will boost their utilization and improvement, even after the conclusion of the present project. With these demonstration examples, the international collaboration, and open source resources, we aim to make our proposal by fact the standard gold to follow in the following years
Campo scientifico
- agricultural sciencesagriculture, forestry, and fisheriesfisheries
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
HORIZON-IA - HORIZON Innovation ActionsCoordinatore
28006 Madrid
Spagna