ECO-SHIELD

ECO-SHIELD

AI-powered multi-hazard environmental monitoring & early warning

ECO — Ecological · SHIELD — Smart Hazard Intelligence & Environmental Local Detection

From distributed sensing to validated risk and actionable warning.

Demonstration build — all readings, sites and alerts are simulated. No live field data is shown.

  1. Sensor Node
  2. LoRaWAN
  3. Edge AI
  4. Evidence Fusion
  5. Risk
  6. Alert

Multi-hazard monitoring

Three hazards run in the demo network; further hazards are additional pods on the same core.

Flood

Water level, rainfall and neighbor corroboration along river corridors.

In demo network

Fire

Smoke, heat and camera verification in forest belts.

In demo network

Air pollution

PM2.5 / PM10 across urban airsheds.

In demo network

Landslide

Terrain module supported by the architecture.

Architecture-ready

Water quality

Additional pod type on the same universal core.

Architecture-ready

Universal modular sensing

REPLACEABLE SENSOR PODS

Hydro / Flood · Fire / Air

UNIVERSAL CORE

ESP32-S3 · Wio-E5 · LiFePO4 · Solar · IP65

CONFIGURABLE MULTI-HAZARD NODE

Swap a pod, keep the core

Three intelligence layers

AI-0

Node intelligence

EWMA / Kalman smoothing, CUSUM shift detection, TinyML anomaly checks and sensor-health scoring on the node itself — useful even with no connectivity.

AI-1

Edge intelligence

Isolation Forest, XGBoost, GRU and vision models at the gateway, fused with reliability weights and gated by quorum.

AI-2

Cloud / regional intelligence

Regional risk, analytics, alert engine with de-duplication, and a model registry with human approval.

Evidence-based alerting

Severity and confidence are separate. One abnormal source is only suspicious; corroboration confirms; a faulty sensor is down-weighted.

Sensor+Camera+Neighbor nodes+Weather+Sensor healthEvidence FusionQuorumRisk

Lifecycle deployment

  1. Health
  2. Maintenance
  3. Local service
  4. Replace pod
  5. Calibration
  6. Online

Stewardship is a proposed community / institutional O&M model — no automatic government ownership or funding is assumed.

Technical architecture

Select a stage to see its modules.

LoRa receiver / packet forwarder

Receive node uplinks and hand them to the edge runtime.

Raspberry Pi 4/5 + LoRa concentrator

Multi-model inference

Run complementary models: anomaly, hazard class, temporal escalation, vision.

Isolation Forest · XGBoost · GRU · RTMDet · MobileNetV3-Small

Evidence fusion

Combine sensor, model, camera, neighbor and weather evidence with reliability weights.

E = Σ(wᵢ × eᵢ) / Σwᵢ

Quorum-gated validation

Require multi-source corroboration; suppress single faulty sensors.

Rule engine

Risk + confidence

Publish severity and confidence as separate axes.

Threshold policy (demo-configured)

Local response

Trigger siren / notice board without any cloud connectivity.

GPIO / relay

Ready to see it work?

OPEN OPERATIONS COMMAND CENTER

ECO-SHIELD is decision support, not an autonomous emergency command. Demonstration data is simulated.