Challenge
Overcoming outdated, infrequent air pollution monitoring that limits timely public response.
Requirements Co-creation and Architecture Validation
Green Deal provides environmental monitoring requirements from cross-sectoral data across agriculture, traffic, and citizen engagement.
Complex Data Lifecycle and Regulatory Compliance Testing
GreenDeal involves multi-stakeholder environmental data with varying ownership models across
Non-functional Properties
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Capable of expanding to include more sensors or data types in the future.
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Continuous and accurate data collection with minimal downtime.
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Robust alert system with fail-safes for critical communications.
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Secure handling of sensitive data from institutions and third-party sources.
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Compliance with GDPR and other relevant data protection regulations.
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Compatibility with external datasets (e.g., statistical office, satellite data).
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Standardized APIs for data exchange with other platforms.
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Easy access and understanding of data by non-expert users.
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Intuitive visualizations and clearly worded notifications.
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Open communication of data sources, methodologies, and system logic.
Description
Focuses on establishing a smart, integrated air
quality monitoring and notification system that informs citizens and institutions about elevated levels of PM10 particles and other pollutants. Air pollution—driven primarily by traffic, energy use,
agriculture, and household heating—remains a critical concern for urban environments, yet traditional monitoring approaches are limited by infrequent, aggregated data collection. This use case addresses that gap by introducing a dynamic, real-time data ecosystem powered by sensors, digital tools, and artificial intelligence (AI).
Dataspaces
Key data products include PM10 sensor data, traffic, waste, weather, and agricultural datasets shared via the two dataspaces existing in the use case the DIH Agrifood data space (DADS) and the CITY data space. AIdriven tools generate pollution forecasts and visualizations, informed by diverse cross-sector inputs.
The CITY Dataspace (operated by MOMS) and DADS (operated by ITC) provide secure, federated data
infrastructure.
Purpose
The Green Deal use case is focused on real-time air quality monitoring and citizen awareness through the deployment of environmental sensors, integration of diverse data sources (including public, private, and agricultural datasets), and utilization of AI tools for enhanced data analysis.
The service informs citizens and stakeholders about dangerous air pollution levels, especially PM10, through timely alerts. It integrates cross-sectoral data to uncover pollution patterns and guide preventative actions by institutions. High-resolution insights support targeted policies and raise awareness of pollution linked to daily activities.
Modules Used
The DS2 Operator hosts core services, including IDM, CAT, DRM, and the module marketplace (PORTAL, CONT) that enable secure cross-dataspace collaboration.
Offered Service
Green Deal the service provides real-time air quality monitoring and public alerts, helping citizens and institutions respond to pollution events. It supports public health, environmental awareness, and policymaking by integrating data from multiple urban and agricultural sectors. Developed as well as a web platform and alert system by MOMS and ITC, the service uses AI from the University of Maribor for analytics. Key data products include PM10 sensor data, traffic, waste, weather, and agricultural datasets shared via the two dataspaces existing in the use case the DIH Agrifood data space (DADS) and the CITY data space.
Functional Properties
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Installation, calibration, and management of air quality sensors.
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Real-time collection of PM10 and potentially other pollutants (e.g. NO2, CO2).
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Automated alerts to the public and institutions via email or digital platforms.
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Threshold-based warnings for elevated PM10 levels.
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Data enhancement, anomaly detection, and prediction modeling.
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Generation of detailed air quality heatmaps and dashboards.
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Public-facing online platform to display current air quality data.
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Educational content to inform about sources and health effects of pollution.
Modules Used in the Use Case
Green Deal
Focuses on mapping and creating a comprehensive framework of data (including automatization for data collection, interoperability architecture and policy implications) that can model the processes that contribute to Green House Gas (mainly CO2) emissions at residential and public building levels.
Demo site: Murska Sobota, Slovenia
