About This Architecture

ESP32-based poultry incubator control system integrates Firebase Realtime Database, Cloud Functions, and edge PID logic to automate temperature, humidity, and egg turning. Farmers monitor live sensor data from DHT22 and adjust PID settings via a smartphone app, while relay modules drive heating elements, cooling fans, humidifiers, and ventilation fans. Firebase Authentication secures user access, Cloud Messaging delivers alerts, and Cloud Monitoring tracks system health across the GCP Project. This architecture demonstrates real-time IoT control for precision agriculture, combining edge intelligence with cloud scalability. Fork this diagram on Diagrams.so to customize sensor types, add camera feeds, or integrate BigQuery for hatch rate analytics.

People also ask

How do I build an IoT poultry incubator with Firebase Realtime Database and ESP32 for remote monitoring and PID control?

Use an ESP32 microcontroller with DHT22 sensors to read temperature and humidity, implement PID controller logic to drive relay modules for heating, cooling, and humidification, and sync live data to Firebase Realtime Database. A smartphone app reads deviceStatus and liveData nodes, sends controlCommands, and receives alerts via Firebase Cloud Messaging.