DWAMS \u2014 Hyper-local environmental intelligence
A sensor grid for cities that need to breathe.
DWAMS is a hyper-local monitoring platform for the environment. Solar-powered, calibration-grade nodes measuring twelve atmospheric parameters \u2014 distributed across wards, corridors, and industrial belts, streaming to one dashboard. From predicting gas leak dispersion paths to identifying the safest air-quality zones in a city, DWAMS turns raw sensor data into actionable intelligence.
Parameters
What it measures
Particulates
PM1.0 · PM2.5 · PM10
Gases
NO₂ · SO₂ · CO · O₃ · NH₃
Meteorology
Temp · Humidity · Wind · Rainfall · Pressure
Optional
Visibility · Road surface temp · Noise · UV
| # | Parameter | Range | Sensor |
|---|---|---|---|
| 1 | PM1.0 | 0–1000 µg/m³ | Laser scattering |
| 2 | PM2.5 | 0–1000 µg/m³ | Laser scattering, CPCB-grade |
| 3 | PM10 | 0–1000 µg/m³ | Laser scattering |
| 4 | NO₂ | 0–10 ppm | Electrochemical |
| 5 | SO₂ | 0–10 ppm | Electrochemical |
| 6 | CO | 0–1000 ppm | Electrochemical |
| 7 | O₃ | 0–10 ppm | Electrochemical |
| 8 | Temperature | –40 to +85 °C | Digital |
| 9 | Humidity | 0–100 %RH | Capacitive |
| 10 | Wind speed & direction | 0–60 m/s | Ultrasonic anemometer |
| 11 | Rainfall | 0–500 mm/h | Tipping bucket |
| 12 | Visibility / fog | 10–10,000 m | Forward-scatter |
Network
Live network preview
Applications
Use cases
Smart city dashboards
Ward-level AQI for citizens and planners.
Gas leak detection and path prediction
If an industry leaks gas, DWAMS detects the plume, models wind-driven dispersion, and predicts the flow path, alerting downstream wards before the gas arrives.
Safest places in a city
Real-time air-quality heatmaps that show citizens the cleanest zones for outdoor activity, school routes, and park visits at any hour.
Pollution hotspot tracking
Identify the most polluted micro-zones, at what times, and correlate with traffic, construction, or industrial activity for targeted intervention.
Highway fog & visibility alerts
Feeds Smart Traffic Management System for dynamic speed advisories.
Industrial compliance
Perimeter monitoring with automated CPCB reporting.
Construction-site monitoring
Dust and noise compliance for large projects.
Public health planning
Ward-level pollution exposure data for epidemiological studies.
Research datasets
Academic and policy datasets via API.
Ecosystem
API & integrations
REST API
Pull historical and real-time data.
MQTT broker
Push subscriptions.
CPCB SAMEER push
Automated regulatory reporting.
Webhook events
Alerts on threshold breaches.
Grafana / Power BI connectors
Out-of-the-box dashboards.
Public dashboard SDK
Embed live AQI on your own website.
FAQ
Frequently asked questions
Resources
Downloads
Plan your sensor grid.
Tell us your coverage area and parameters of interest. We\u2019ll propose a node count and layout.
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