Descripción del proyecto
Gobernanza de datos para mejorar la gestión de las aguas residuales
Disponer de información precisa y actualizada sobre el estado de las redes subterráneas de aguas residuales y pluviales es importante, pero también supone un gran reto recopilarla y mantenerla. La dificultad radica en las grandes cantidades y múltiples fuentes de información, desde mapas digitales y datos geográficos hasta datos imprecisos que hay que evaluar, por no hablar de datos cambiantes y contradictorios. En este contexto, el equipo del proyecto financiado con fondos europeos STARWARS aportará propuestas novedosas para la gestión de datos heterogéneos en redes de aguas pluviales y residuales. Para ello, reunirá a investigadores de los campos de la inteligencia artificial y las ciencias del agua con el fin de hallar soluciones para manejar datos de distintas formas de diversas maneras.
Objetivo
Public and private stakeholders of the wastewater and stormwater sectors are increasingly faced with large quantities and multiple sources of information/data of different nature: databases of factual data, geographical data, various types of images, digital and analogue maps, intervention reports, incomplete and imprecise data (on locations and the geometric features of networks), evolving and conflicting data (from different eras and sources), etc. Obtaining accurate and updated information on the underground wastewater and stormwater networks is a challenge and a cumbersome task, especially in cities undergoing urban expansion.
Within this context, the main objective of this multidisciplinary project, STARWARS (STormwAteR and WastewAteR networkS heterogeneous data AI-driven management), is to address this challenge by providing novel proposals for the management of heterogeneous data in stormwater and wastewater networks.
The STARWARS project aims to bring together researchers from the AI and Water Sciences communities in order to enhance the emergence of new practical solutions for representing, managing, modelling, merging, completing, reasoning, explaining and query answering over data of different forms pertaining to stormwater and wastewater networks.
The project is implemented through five work packages (WP). The first four WP concern research developments of new AI methodologies for managing heterogeneous stormwater and wastewater networks’ data. The fifth WP is dedicated to project management and dissemination activities.
The second objective of the project is to produce new knowledge and to promote knowledge exchange, with a strong will and a plan to encourage knowledge sharing between the researchers involved in this STARWARS project. The scheduled secondment plan is designed with the aim of maximizing knowledge transfer and training between the two fields of Water Sciences and AI and thus facilitating the achievement of the project objectives.
Ámbito científico
Palabras clave
Programa(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régimen de financiación
HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff ExchangesCoordinador
75794 Paris
Francia