"How a Citywide Air Quality Network Was Built on Wavefuel"

🚨 The Challenge

  • Required real-time air quality data across 100+ urban locations (parks, schools, intersections)
  • Devices from different vendors with inconsistent data formats
  • No central visibility or alert system for pollution spikes
  • Manual data reporting, which delayed public communication
  • Needed to comply with national air quality standards and offer open data access

💡 The Wavefuel Solution

✅ 1. Multi-Vendor Device Integration

Wavefuel connected all sensors—CO₂, PM2.5, PM10, VOC, temperature, humidity—using HTTP, MQTT, and LoRaWAN bridges, enabling a consistent and real-time data stream.

✅ 2. Halo Dashboards for Public & Admins
Two sets of dashboards were created using Halo:
  • Admin view for system health, raw data, alerts
  • Public view with real-time AQI scores, charts, and forecasts—embedded on the city’s website
✅ 3. Rule Engine for Environmental Alerts
Automated rules included:
  • SMS/Email alerts to local officials when PM2.5 exceeds 150
  • Triggering roadside digital signage to display “Poor Air Quality”
  • Generating automatic daily AQI reports and summaries
✅ 4. AI-Powered Insights for Policy Makers
Using Lighthouse AI, environment officers could query the platform in natural language:
  • “Show me top 5 polluted zones this week”
  • “When did AQI last exceed 200 in school zones?”
  • “Generate a pollution heatmap for last 30 days”
✅ 5. APIs for Open Data Access

Wavefuel’s open API allowed data sharing with weather apps, researchers, and citizen engagement portals.

📈 The Result

  • 🌫️ 20+ pollution events detected early and responded to in real time
  • 🌐 100% live coverage of targeted urban zones
  • 🧠 Data-informed traffic and zoning policy changes by the city
  • 📉 Reduced reporting time by 90%—from 12 hours to instant
  • 🌱 Public trust increased through transparent dashboards and alerts

🧠 Key Features Used

  1. Protocol-agnostic device integration (HTTP, MQTT, LoRaWAN)
  2. Public & internal Halo dashboards
  3. Environmental alert automation via Rule Engine
  4. AI insights via Lighthouse
  5. Open API for third-party use and transparency

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