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Eco-Monitor Control Center

Atmospheric grid · CEMS sources · water-section war room

LIVE

This dashboard demonstrates IoT DC3 for environmental monitoring: a gridded air-quality network with station availability, a pollution rose identifying characteristic sources, a six-factor radar assessing air quality, with AQI traceable from alert to source.

Dashboard highlights

  • Air-quality grid GIS: region-wide pollution on one map with hot grids standing out.
  • AQI trends and a pollution rose for wind-direction source analysis.
  • CEMS emission ranking, water sections, station online rate and exceedance alarm log.

Business value

  • Minute-level exceedance alerts with an auditable trail.
  • Pollution rose plus grid heatmaps give source tracing a direction.
  • Enterprise emission rankings enable targeted supervision.

How to build this on IoT DC3

National/provincial stations, micro-sensors and CEMS devices onboard through protocol drivers or ODBC extraction. Exceedance rules alarm by factor and duration, and history supports episode replay. See the documentation and the GitHub repository.

FAQ

Is the data real?

This page runs on mock data; connect monitoring stations to get the same single-map view.

Which factors are supported?

The point model is factor-agnostic: air pollutants, VOCs, water parameters, noise and stack emissions all onboard as points with alarms.

IoT DC3 · Connect the Physical World to AI