Early Warning System for Lahar and Flood Monitoring

Client

National Agency for Disaster Management - BNPB

Published Date

Sep 30, 2025

Topic

Disaster Management

Service

Dashboard Monitoring; Automatic Water Level Recorder; Siren; Geophone; Long Range LIDAR; CCTV PTZ & Bullet;

Gunung Ibu Cold-Lava (Lahar) Flood Early Warning System (EWS) is a comprehensive, GeoDashboard-powered solution designed to monitor hazards and deliver timely, location-aware alerts, reducing risk for surrounding communities. The system integrates real-time IoT telemetry with advanced geospatial analytics to generate accurate impact insights and actionable early warnings, enabling faster, coordinated response during emergencies. Built on Braga Technologies’ OGC-interoperable, PostGIS-backed platform, it supports on-the-fly spatial analysis, role-based operations, and seamless dissemination to responders and the public.

Product Highlight

API Integration with Map

Sensor data stored in the database is fetched via API and rendered on the map using mapping libraries such as MapLibre or Google Maps. Each sensor appears as a marker at coordinates matching its location.

CCTV Streaming

All CCTV feeds are displayed with location names for clear identification. Press the fullscreen icon for a larger preview. In the CCTV controls, use the left/right/up/down arrows to adjust camera position and the plus/minus buttons to change the zoom level.

LiDAR and Geophone Data

LiDAR readings (in meters) show daily changes on a chart, alongside last water level, rainfall, hazard status (based on thresholds), and the timestamp of the latest data. Geophone readings (in Hz) also display daily changes; each second contains 100 vibration samples. Additional info includes vibration

Sensor Alerts

If sensors detect conditions with potential for fire, the dashboard triggers visual alerts—such as marker color changes or pop-up notifications—to draw user attention.

Settings and Connection Status

Each sensor has its own threshold, which determines the hazard status shown on the dashboard. Thresholds can be adjusted per sensor.

Tech Highlights

TypeScript

Strongly-typed front-end codebase for reliability and maintainability.

Node.js

Scalable API layer for authentication, business logic, and integrations.

Python

Data processing, validation routines, and geospatial utilities.

PostgreSQL & PostGIS

Authoritative spatial database for parcels, boundaries, and price layers.

Dramatiq Worker

Asynchronous task queue for background jobs (validation, geoprocessing, report generation).

Kubernetes Cluster

Container orchestration for high availability, scaling, and rolling updates.

In Their Words

"Working with Braga Technologies has been an outstanding experience. They have an exceptional ability to quickly grasp our needs and turn them into effective, well-executed solutions. Their intuitive and user-friendly UI/UX design, combined with strong technical expertise in mapping, enabled us to establish our GIS platform in a remarkably short time. This platform has significantly improved our data visualization capabilities and strengthened data-driven decision-making. Braga Technologies has proven to be a reliable, responsive, and forward-thinking partner, always ready to provide valuable insights and support whenever needed."