Innovating Works

DAYDREAMS

Financiado
Development of prescriptive AnalYtics baseD on aRtificial intElligence for iAMS
The overall DAYDREAMS objective is to move forward the integration and use of data and artificial/human trustworthy intelligence together with context-driven HMI for prescriptive Intelligent Asset Management Systems (IAMS) in rail... The overall DAYDREAMS objective is to move forward the integration and use of data and artificial/human trustworthy intelligence together with context-driven HMI for prescriptive Intelligent Asset Management Systems (IAMS) in railway by (i) advancing in maintenance approach towards prescriptive asset management, (ii) improving the decision-making process by developing multi-objective decision optimisation approaches taking into account all implications of IAMS decisions in the railway environment, and (iii) reinforcing the role of the person-in-the-loop by designing and developing advanced context-driven HMIs to allow context- and risk-aware multiple-options decision-making processes. The HMI will allow the person-in-the-loop to: (i) properly access and visualise predictions/metrics and models, (ii) assess why and how the model predicts something, (iii) Steer models by setting parameters, and (iv) evaluate alternatives using parameter steering and extending this process through speculative execution. The DAYDREAMS objective will be assessed by validating the proposed solution using the following two-step approach: (i) A first validation at TRL 4 of the approaches (developed prescriptive asset management) using several internal scenarios and one scenario provided by the CFM IN2SMART2 project; (ii) A further validation of the DAYDREAMS methodologies integrated in a TRL 5 prototype using at least two scenarios: at least one internal scenario and the IN2SMART2 scenario. The validation will cover both the performances of the prototypes and its trust for future adoption in multi-actors environments. The validation will be carried out by defining evaluation and validation metrics and KPIs: (i) linked to asset management problems to be solved by the involved Infrastructure Managers (IMs) and related baselines, (ii) quantified and measurable; (iii) referred to high-level KPIs defined in the S2R IMPACT2 CFM project, and (iv) useful to address multi-objective optimisation. ver más
31/05/2023
UNIFE
2M€
Duración del proyecto: 30 meses Fecha Inicio: 2020-11-26
Fecha Fin: 2023-05-31

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2023-05-31
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
S2R-OC-IP3-02-2020: Technology Development for Railway Systems Asset Management (TD3.6)
Cerrada hace 4 años
Presupuesto El presupuesto total del proyecto asciende a 2M€
Líder del proyecto
UNION DES INDUSTRIES FERROVIAIRES EUROPEENNES... No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5