Distributed IoT & Performance Analytics for PV System

📊 Project Overview

This project focuses on developing a distributed IoT system to monitor and analyze the performance of solar panel installations. The system collects comprehensive data from solar plants, stores it in a local SQL database, and visualizes the data through interactive dashboards.

🔍 Project Objectives

• Develop IoT-based solar monitoring system
• Collect environmental/electrical data
• Implement predictive analytics
• Create visualization dashboards

🌱 System Architecture

graph TD
    A[ESP32 Sensors] -->|MQTT| B[EMQX Broker]
    C[SmartLogger] -->|FTP| D[File Server]
    B --> E[MySQL Database]
    D --> E
    E --> F[Grafana]
    E --> G[Plotly Dash]

🛠️ Hardware Components

• ESP32-WROOM-32 >> Main microcontroller
• BH1750 >> Light intensity
• INA219 >> Current/power monitoring
• DHT11 >> Humidity and Temperature Sensor
• BME280 >> Ambient Pressure Sensor
• DS1307 >> RTC module
• LCD2004 >> LCD Display
• NCR18650B >> Battery power
• 2*2W Solar Panel >> 4W Renewable charging

🚀 Solution Architecture

Three-Tier System:

1. Edge Layer

   • ESP32-based sensor nodes (15+ parameters)
   • Solar-powered with battery backup
   • Adaptive sleep cycles (60% power reduction)

2. Data Layer

   • Hybrid MQTT/FTP data collection
   • Time-series SQL database (3+ years historical data)
   • Automated data cleaning pipeline

3. Analytics Layer

   • Real-time Grafana dashboards
   • Predictive ML models (90% accuracy)
   • Fault detection algorithms

🌟 Unique Features

• Self-sustaining nodes with solar charging
• Hybrid connectivity (WiFi/4G fallback)
• Modular PCB design for easy maintenance
• Time-synced data across distributed nodes
• Two-tier alert system (email/API)

🔮 Future Roadmap

• Integration with campus EMS
• Blockchain-based data verification
• Digital twin simulation
• Autonomous cleaning system triggers