About Our Project

The Real-Time IoT-Driven Air Condition Monitoring System for Factory Environments combines IoT hardware, cloud-based analytics, and a user-friendly web dashboard to provide continuous monitoring and immediate alerts for maintaining healthy indoor air conditions in factory settings.

Worker Safety

Ensure safe air quality in factories, reducing health risks and boosting worker morale through continuous monitoring and immediate alerts.

Immediate Alerts

Deploy local and remote alerts to minimize response times when threshold levels are exceeded, ensuring quick action.

Project Links

Access our project repositories and live deployments to explore the code and functionality of our air quality monitoring system.

Blog

Finalized

Project blog with updates and articles about our air quality monitoring system

GitHub Repository

View Repository

Live Deployment

Visit Live Site

Dashboard

Finalized

Interactive dashboard for monitoring and analyzing air quality data

GitHub Repository

View Repository

Live Deployment

Visit Live Site

Login Credentials

Email: admin@example.com

Password: password123

Core Features

IoT Device Network
  • Sensors
    CO, CO₂, PM2.5, PM10, VOCs, Methane
  • Alerts
    Local buzzers and LED indicators
  • Power
    Optimized battery management
Cloud Platform
  • Security
    Secure data ingestion
  • Scale
    Handles multiple factory zones
  • Analytics
    Built-in visualization tools
Real-Time Monitoring
  • Display
    Live metrics and charts
  • Alerts
    Email, SMS, in-app notifications
  • Reports
    Automated compliance reporting

System Architecture

Data Management
  • Secure MySQL database integration
  • Comprehensive audit logging
  • Efficient data retrieval system
  • Long-term data retention
User Management
  • Role-based access control
  • Customizable user permissions
  • Secure authentication system
  • Activity logging and tracking

Project Documentation

Access our comprehensive project documentation, including technical specifications, reports, and tools for the IoT-Driven Air Condition Monitoring System.

Document
Type
Size
Action

BSE25-5 Data Collection Tools.zip

Tools and utilities for data collection

archive
277 KB
Download

BSE25-5 PROJECT REPORT_2.pdf

Comprehensive project report with findings and analysis

pdf
419 KB
Download

BSE25-5(SDD).pdf

Software Design Document with technical specifications

pdf
1,148 KB
Download

Software Requirements Specification BSE25-5.pdf

Detailed requirements specification for the system

pdf
583 KB
Download

notes.txt

Additional notes and documentation

text
1 KB
Download

Future Enhancements

Predictive Analytics

Machine learning models to predict pollution spikes before they occur.

Advanced Alerts

Integration with industrial control systems for automated ventilation adjustment.

Multi-Cloud Support

Optional redundancy across different cloud providers for enhanced availability.