Intelligent Air Quality and Emission Management System

Real-time, predictive air-quality intelligence for cities, industry, and national programs

Core Concept

Air quality management today is largely reactive. Measurements trigger alerts only after pollution levels are already high, leading to emergency restrictions with significant social and economic cost.

AIR-SAFE replaces this model with a predictive, prevention-focused approach. Air quality is treated as a dynamic, forecastable system, allowing risks to be identified before critical conditions develop.

The focus shifts from restriction to prevention, timing, and optimization.

Purpose of the System

AIR-SAFE delivers real-time, predictive air-quality intelligence that:

• – integrates urban, industrial, and transport emissions into a single system,
• – forecasts smog and public-health risk scenarios,
• – recommends targeted, minimal interventions,
• – reduces health impacts and economic disruption.

How AIR-SAFE Works

1. Comprehensive Data Integration

AIR-SAFE unifies multiple data sources into one operational model:

• – urban and regional air-quality sensors
  (PM2.5, PM10, NOx, SO₂, CO, VOC),
• – industrial emission monitoring systems,
• – traffic and mobility data,
• – meteorological and atmospheric flow data,
• – seasonal load factors
  (heating periods, pollen, agricultural burning).

Air quality is modeled not as isolated readings, but as a spatio-temporal environmental process.

2. Predictive Pollution Forecasting

The analytical engine:

• – predicts critical pollution events 1–72 hours in advance,
• – identifies key drivers (weather, traffic, industry),
• – distinguishes short-term fluctuations from real risk escalation,
• – enables preventive action rather than late-stage restriction.

3. Emission Optimization and Timing

AIR-SAFE provides recommendations for:

• – industrial operators to shift to lower-emission modes or time windows,
• – traffic systems to rebalance flow and congestion,
• – municipalities to deploy targeted measures
  (speed regulation, transport prioritization, heating adjustments).

The goal is peak smoothing, not operational shutdown.

4. Public Health Risk Index (PHRI)

AIR-SAFE includes a unified health-risk indicator that:

• – provides real-time exposure risk levels,
• – highlights vulnerable groups
  (children, elderly, respiratory patients),
• – supports targeted communication and protection strategies.

Practical Outcomes

Measured impact:

• – 10–30% reduction in urban air pollution,
• – fewer respiratory health incidents,
• – lower industrial and transport emissions,
• – fewer and less severe smog episodes.

Operational advantages:

• – full real-time air-quality visibility,
• – predictive alerts and decision support,
• – automated EU and ESG compliance reporting,
• – tokenized emission reduction (CONI).

Application Areas

• – major cities and metropolitan regions,
• – industrial zones and manufacturing facilities,
• – transport and mobility networks,
• – municipal environmental systems,
• – national air-quality and climate programs.

Project Status

• – pilot-ready in urban or industrial environments,
• – scalable to a national air-quality management system,
• – fully interoperable with the AVA Platform and related modules
  (REM, EOS, Gaia-Cycle, AQUA-MIND).

Core Message

AIR-SAFE does not only show how the air is now. It helps ensure how it will be tomorrow.

Prevention is more effective, more economical, and more humane than emergency restriction.