Descripción del proyecto
Colmar lagunas para salvaguardar las industrias de transformación
En el ámbito de las industrias de transformación, que está en constante evolución, se cierne el acuciante reto de garantizar la seguridad y la sostenibilidad. Las metodologías actuales suelen quedarse cortas a la hora de abordar la complejidad de la evaluación de riesgos y la seguridad de los procesos, lo cual deja un vacío crítico en las prácticas de la industria. El equipo del proyecto PROSAFE, con el apoyo de las acciones Marie Skłodowska-Curie, desarrollará un programa de formación doctoral para colmar estas lagunas. Armonizará métodos sólidos de evaluación de riesgos e integrará modelos punteros de inteligencia artificial y aprendizaje automático para revolucionar el panorama de la seguridad de los procesos en las industrias. El objetivo general del proyecto es conformar una nueva era en materia de seguridad de los procesos, fomentando el trabajo de profesionales cualificados y abordando problemas sociales, económicos y medioambientales vitales.
Objetivo
PROSAFE proposes a novel doctoral training program in the multidisciplinary field combining machine learning, artificial intelligence, and process systems engineering with domain knowledge of process industry and process safety. PROSAFE will pioneer new foundations by integrating Quantitative Risk Assessment, Process Systems Engineering (PSE) with interpretable machine learning (ML) and artificial intelligence (AI) disciplines as targeted breakthroughs to achieve the objectives. To this end, PROSAFE will develop new synergistic tools and train skilled professionals to address this very important societal, economic, and environmental challenge of safe and sustainable process industries. PROSAFE research objectives are:
1: Harmonize robust QRA methods and implementation strategies for effective and improved risk assessment and process safety
2: Develop AI and ML (interpretable ML) models using domain knowledge for efficient, safe, and reliable operations
3: Develop synergistic integration of model-based with data-based methods for improved process safety operation and monitoring
4: Demonstration and validation of PROSAFE novel concepts and methods on industrial relevant case studies for safer operation
PROSAFE's major training objectives are:
1: Training of doctoral candidates (DCs) through individual projects combining multidisciplinary competences in the areas of AI, ML, and PSE within the domain of process safety
2: Establish and pilot the concept of a truly interdisciplinary European multicenter training program in AI/ML, QRA, and PSE within the domain of safety in process industries through relevant network-wide events, courses, workshops, and on-site industry training that complements training in soft skills for effective communication and entrepreneurship.
Through this research and training program, PROSAFE will contribute to realizing the promising potential of the new artificial intelligence paradigm with a particular focus on process safety in process industries.
Ámbito científico
Palabras clave
Programa(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régimen de financiación
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinador
2800 Kongens Lyngby
Dinamarca