⚡ Load Management System (Streamlit Version)

🔗 ⬇️ Download Project Files (ZIP)
🌐 Live Demo

A real-time load monitoring and control system built originally with Tkinter GUI, now migrated to a Streamlit web application for better accessibility, responsiveness, and interactive data visualization.

---

📌 Features

• User Authentication
  Secure login with lockout mechanism after multiple failed attempts.

• Real-Time Monitoring Dashboard
  Live voltage, current, power, energy consumption, and cost updates.

• Load Control
  Switch individual loads ON/OFF, adjust current and power factor, emergency shutdown for all loads.

• Energy & Cost Analysis
  Calculate total energy consumed, remaining budget, and estimated cost based on configurable tariff rates.

• Alerts & Notifications
  Automatic alerts for voltage, current, power threshold breaches, and energy budget warnings.

• Customizable Settings
  Modify thresholds, tariff rates, and save/load configuration.

• Data Export
  Export historical monitoring data and alerts to CSV for further analysis.

• Interactive Graphs
  Historical trends for voltage, current, power, and cumulative energy consumption.

---

🚀 Getting Started

1️⃣ Clone the Repository

git clone https://github.com/yourusername/load-management-system.git
cd load-management-system

2️⃣ Install Dependencies

Ensure you have Python 3.8+ installed. Then install required packages:

pip install -r requirements.txt

Sample requirements.txt

streamlit
pandas
matplotlib

3️⃣ Run the Application Locally

streamlit run app.py

The app will open in your default browser at http://localhost:8501.

---

🌐 Online Access

You can try the live app here:
🔗 Load Management System - Streamlit App

---

🛠 Default Login Credentials

Username	Password
admin	password

---

📂 Project Structure

.
├── app.py               # Main application file
├── load_config.json     # Configuration file (auto-generated)
├── load_data_log.csv    # Logged monitoring data (auto-generated)
├── requirements.txt     # Python dependencies
└── README.md            # Project documentation

---

⚙️ Key Configurations

• Thresholds: Voltage, current, power, and energy budget.
• Tariff Rates: Peak, off-peak, and shoulder rates.
• Load Profiles: Name, current rating, power factor, and status.

---

📊 Example Use Cases

• Industrial Power Management – Monitor factory loads in real-time.
• Building Energy Optimization – Track and control office or campus energy use.
• Educational Labs – Demonstrate load management concepts to students.

---

✨ Credits

• Original Tkinter Version: Developed for offline usage.
• Streamlit Migration: Interactive, browser-based version with improved UI/UX.

---

Best Regards,

Shreyas Salian

---