Descripción del proyecto
Un sistema de vigilancia local para un aire más saludable
La contaminación atmosférica es responsable de 4,2 millones de muertes prematuras cada año debido a accidentes cerebrovasculares, enfermedades cardíacas, cáncer de pulmón y enfermedades respiratorias crónicas. Aproximadamente el 91 % de la población mundial reside en zonas en las que la que los niveles de calidad del aire superan los límites establecidos por la Organización Mundial de la Salud. El equipo del proyecto TRIAGE, financiado con fondos europeos, desarrollará un sistema de detección fotónica inteligente y conectado a la nube que utilizará la última tecnología de radiación infrarroja media para vigilar la contaminación atmosférica. El nuevo método del proyecto permite la detección sistemática comunitaria a partir de una red conectada de unidades de detección estáticas y dinámicas. Los datos se procesarán automáticamente en tiempo real con algoritmos de aprendizaje automático para desarrollar mapas de concentración de múltiples gases contaminantes a largo plazo, así como alertas de emergencia en el caso de puntos críticos locales.
Objetivo
Air pollution is one of the largest risk factors for premature death, yet current portable monitoring technology cannot provide adequate protection at a local community level.
• TRIAGE will develop a smart, compact and cost-effective air quality sensor network for the
hyperspectral detection of all relevant atmospheric pollution gases
• Resolution and selectivity are two orders of magnitude better than current solutions for lower cost
• Cloud-based, deep-learning algorithms enable automated short-term alerts and long-term trend analysis
• Community-based testing is agreed with Swedish and Swiss environmental agencies and transport companies
The sensor is based on an innovative, mid-IR supercontinuum laser providing ultra-bright emission from 2-10 µm in the infrared “fingerprint region.” The latest spectroscopic technology, including novel multi-pass cell and detectors, enables real-time detection of all major harmful gaseous components of air pollution with high sensitivity and selectivity, at levels far below the Immediate Danger to Life and Health (IDLH) concentrations. Precision multi-gas detection allows studies of synergistic effects from combinations of gases for the first time. In-built chemometric analysis and cloud connection will feed deep-learning algorithms and data storage to enable analysis ranging from long-term trends in air pollution to urgent local alerts.
This smart photonic approach enables pervasive community-based sensing, allowing inventories of emitted pollutants and identification of pollution hotspots. Agreements with local authorities in Stockholm and Neuchâtel for distributed pollution monitoring from municipal buildings and with local bus companies in Sweden and Switzerland for mobile validation are in place.
A comprehensive advisory board, TRIAGE-NET, ensures participation from end-users, large industrial players, environment agencies and local public communities. Outline business cases for commercialization are provided.
Ámbito científico
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- engineering and technologyenvironmental engineeringair pollution engineering
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencesphysical sciencesopticslaser physics
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-ICT-2020-2
Régimen de financiación
IA - Innovation actionCoordinador
2800 Kongens Lyngby
Dinamarca