🌡️ Arduino IoT Temperature and Voltage Monitoring System

Professional IoT solution for collecting, analyzing, and visualizing real-time temperature and voltage data

🚀 Key Features

• Real-Time Data Collection: Instant data reading from Arduino via serial port
• Smart Data Storage: Automatic CSV format data logging with timestamps
• Advanced Visualization: Interactive and professional graphs with Plotly
• Multi-Sensor Analysis: Correlation analysis between two temperature sensors
• Data Quality Control: Automatic data validation and error detection
• Time Series Analysis: Detailed analysis of temperature and voltage changes

📊 Data Visualization and Analysis

1. Time Series Analysis

Features and Analysis:

• 🌡️ Dual Sensor Comparison: Simultaneous readings from two different temperature sensors
• 📈 Raw and Processed Data: Dotted lines show raw data, solid lines show 30-second averages
• ⚡ Voltage Monitoring: Voltage changes are continuously monitored in the lower panel
• 🔍 Interactive Features:
  • Zoom in/out capability
  • Time range selection
  • Detailed information on hover over data points

2. Temperature Difference Distribution Analysis

Statistical Details:

• 📊 Histogram Analysis: Frequency distribution of temperature differences
• 🎻 Violin Plot: Density and shape analysis of the distribution
• 📏 Standard Deviation: Gray area shows ±1σ range
• 🎯 Mean Value: Dashed line marks the average difference
• 🔍 Outlier Detection: Shows deviations from normal distribution

3. Sensor Correlation Graph

Analysis Details:

• 📊 Linear Relationship: Ideal match line (dashed black)
• 🌈 Time Encoding: Point colors indicate measurement time
• 📈 R² Value: Numerical indicator of sensor agreement
• 🎯 Precision Analysis: Visual analysis of deviations through scatter plot

Note: When graphs open in web browser, they are interactive:

• Can zoom in/out
• Show detailed information on hover
• Toggle graph components
• Export in PNG/SVG/HTML formats

🛠 Technologies Used

Technology	Purpose
Python	Main programming language
pyserial	Serial communication with Arduino
pandas	Data processing and analysis
plotly	Interactive graphs
numpy	Numerical calculations
scikit-learn	Statistical analysis

💻 Installation and Running

# Install required packages
pip install pyserial pandas numpy plotly scikit-learn

# Connect Arduino and set port number
# Edit PORT variable in main.py

# Run the program
python main.py

📋 Data Format

The CSV file contains the following columns:

• PC_Timestamp: Computer timestamp
• PC_Date: Human-readable date
• Arduino_Timestamp: Arduino millisecond counter
• Arduino_Elapsed_Time: Elapsed time (HH:MM:SS)
• Temperature1: Temperature from sensor 1 (°C)
• Temperature2: Temperature from sensor 2 (°C)
• Voltage: Voltage value (V)

📄 License

This project is licensed under the MIT License.

✅ Free for academic and research use
✅ Modifications and redistribution allowed
❌ Commercial use requires written permission

📧 Contact

Project Maintainer