System Integration

Integrated Flood Early Warning System

A centralized disaster management solution designed to monitor, analyze, and respond to flood risks in real time.

System Overview

Know first.
Warn Fast.
Respond Right.

The Integrated Flood Early Warning System brings together three purpose-built solutions into a single, cohesive command environment — giving LGUs the tools to detect threats early, validate them with AI, and warn communities before it's too late.

Field sensors, AI-enabled cameras, and warning devices are deployed at strategic locations and connected via LoRa Mesh networks — operating autonomously even when power and cellular networks go down.

01

Sensors Detect

Rain gauges, water level sensors, and weather stations across the city continuously collect environmental data via LoRa Mesh network.

02

AI Validates

STREAM Vision cameras analyze waterways in real time — extracting water levels visually and detecting debris to confirm sensor data.

03

Command Center Decides

All data converges at the Command Center. Operators correlate readings, AI insights, and alert levels in one unified dashboard.

04

APAWS Warns

Sirens, loudspeakers, and warning lights at community posts are activated instantly — reaching residents before floodwaters arrive.

Overall System Architecture

Three Layers.
One Cohesive System.

The Flood Early Warning System is composed of three tightly integrated functional layers: Monitoring, Intelligence, and Warning — interconnected through resilient communication networks and centrally managed from the Command Center.

Each system is a specialized solution. Together, they form a complete end-to-end flood early warning platform. Explore each one below.

Monitoring Layer • 01

Atmos

Advanced Telemetry Management & Observation System

Real-time environmental monitoring across your city. Rain gauges, water level sensors, weather stations, and AI analytics — all connected via LoRa Mesh and displayed on a centralized command dashboard.

12 environmental parameters from a single ultrasonic weather station
LoRa Mesh network — works without cellular, 2–10 km range per node
Athena AI — flood prediction 30–60 min ahead, anomaly detection
GDACS integration — global typhoon, earthquake & tsunami tracking
Multi-channel alerts via SMS, email, dashboard, and mobile app

12

Parameters

1MIN

Refresh Rate

6-9H

Early Warning

Intelligence Layer • 02

Stream

Stream Vision AI

AI-powered cameras deployed at rivers, lakes, and flood zones deliver real-time visual intelligence. Vision AI automatically reads water levels, detects debris, and triggers alerts — no manual monitoring needed.

PTZ IP cameras with remote zoom for rivers, gauges & floodplains
Vision AI reads flood gauges automatically — sub-meter precision
Solar-powered off-grid systems for 24/7 remote area coverage
Timestamped snapshots at set intervals & during flood events
Instant LGU alert when thresholds are breached — 30-sec response

24/7

Monitoring

<1M

AI Precision

30S

Alert Time

Warning Layer • 03

APAWS

Advanced Public Address & Warning System

Solar-powered, mesh-networked warning stations that deliver multi-hazard alerts to communities when every second counts. Floods, typhoons, tsunamis, landslides — one system covers them all.

4 high-power horn speakers per station — full community coverage
LoRa Mesh transmission — 2–5 km range, self-healing network
Remote + local dual control — fallback microphone for live broadcast
Blackout-proof — 2–3 days standby on solar battery reserve
Full audit trail — all warnings are logged and timestamped accurately

5KM

Coverage/Station

2-3D

Battery Reserve

5

Hazard Types

Integrated Operation

From Detection To Response

ATMOS, STREAM, and APAWS don't just run in parallel — they work together. Data flows automatically from field sensors to AI validation to community warning in one seamless pipeline.

01

ATMOS Detects the Threat

Upstream rain gauges and water level sensors register abnormal readings. Athena AI flags a potential flood event 30–60 minutes before critical levels are reached.

02

STREAM Vision Confirms it

AI cameras at the waterway visually validate the sensor data — reading the gauge, checking for debris, and cross-confirming the threat with 96%+ confidence.

03

Command Center Correlates

The operator sees all data — sensor readings, AI snapshots, alert levels — in one dashboard. Decision is made in seconds, not minutes.

04

APAWS warns the Community

Sirens and voice broadcasts activate across affected warning posts via LoRa Mesh. Communities get advance warning — enough time to evacuate safely.

Resilience, Scalability, & Compliance

Built to Last.
Built to Grow.

The Integrated Flood Early Warning System is designed for resilience and scalability. Its modular architecture supports future expansion while ensuring the system continues to operate reliably under the most demanding disaster conditions.

Resilience

Operational Continuity

The system is engineered to operate under disaster conditions, eliminating single points of failure and ensuring continuous data flow when it matters most.

Solar-powered field components for off-grid operation
Long-range radio + cellular dual communication paths
Autonomous Site Controller operation during outages
Redundant data transmission pathways

Scalability

Future-Ready Architecture

The modular design ensures the system can grow alongside the LGU's evolving requirements — new components can be integrated without disrupting existing operations.

Additional sensors and weather stations
New AI cameras and monitoring points
Expanded APAWS warning post coverage
Advanced analytics modules as needed

Compliance

National DRRM Alignment

The system supports national disaster risk reduction and management objectives and strengthens the LGU's capability for evidence-based decision-making and public safety.

Aligned with national DRRM standards
Full audit trail for accountability
Evidence-based reporting tools
Post-incident analysis support

Built for Philippine LGUS

Why LGUS Choose FEWS.

Designed from the ground up for the realities of Philippine local government — off-grid, under-resourced, and facing 20+ typhoons a year.

BLACKOUT-PROOF

Solar-powered stations across all three systems keep monitoring and warnings active even when the grid goes down.

No Cellular Needed

LoRa Mesh networks connect all field devices independently — no SIM cards, no towers, no single points of failure.

AI That works for you

Athena AI predicts floods 30–60 minutes ahead and flags anomalies automatically — no data analyst required.

Modular & Stable

Start with one system, expand to all three. Add sensors, cameras, and warning posts as your LGU's needs grow.

DRRM Compliant

Supports national disaster risk reduction objectives. Full audit trails and event logs satisfy reporting requirements.

Local Support

Designed, deployed, and supported by AppCase Inc. — a Filipino company with LGU partners across the Philippines.

Monitoring Layer

Advanced Telemetry Monitoring Observation System

ATMOS

The monitoring layer is implemented through the Advanced Telemetry Management and Observation System (ATMOS).

Atmos Collects data from

Rain Gauges

Distributed rain gauges across the city measure precipitation accumulation at configurable reporting intervals for accurate rainfall tracking.

Water Level Sensors

Hydrologic sensors installed at waterways and drainage points continuously monitor water levels, triggering alerts when thresholds are breached.

Automatic Weather Stations

Full meteorological monitoring including wind speed, temperature, humidity, and barometric pressure to support comprehensive flood forecasting.

Executive Dashboard

A map-based centralized dashboard highlights the most critical conditions and historical trends, enabling rapid situational awareness for decision-makers.