From Panel to Dashboard: The Data Journey
Our Minimum Viable Product (MVP) for the solar monitor is designed with a layered architecture, ensuring a clear roadmap from raw sensor data to insightful visualizations and anomaly detection. Each layer plays a critical role in the overall system's efficiency and reliability.
1. Hardware Layer
The foundation of our system, capturing real-world data.
- Sensors (Voltage, Current, Temp.)
- ESP32/Raspberry Pi Microcontroller
- Solar-powered with Battery Backup
2. Data Pipeline
Ensuring clean, reliable, and timely transmission of sensor data.
- Raw Sensor Readings (1-5s)
- Noise Filtering & Normalization
- MQTT/REST API Transmission
3. Backend & Database
The central hub for data ingestion, storage, and API services.
- Time-series Database (InfluxDB/TimescaleDB)
- Node.js/FastAPI for Data Ingestion
- Defined Data Model (Timestamp, V, I, T)
4. AI Agents
Intelligent processing to clean, analyze, and detect anomalies.
- Data Cleaning Agent (Outlier Removal)
- Analytics Agent (Efficiency, Energy Yield)
- Anomaly Detection Agent (Drops, Overheating)
5. User Interface
Empowering users with real-time insights and actionable alerts.
- React + Vite + TypeScript Frontend
- Real-time Monitor & Daily Trends
- Anomaly Alerts & System Health
Ready to See Your Solar Data in Action?
This MVP lays the groundwork for powerful solar monitoring. Get started with essential insights and build towards a fully predictive and optimized system.
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