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Real-Time Air Quality Monitoring Dashboard with Advanced Visualization and Performance Optimization
  1. case
  2. Real-Time Air Quality Monitoring Dashboard with Advanced Visualization and Performance Optimization

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Real-Time Air Quality Monitoring Dashboard with Advanced Visualization and Performance Optimization

relevant.software
IoT
Environmental Services
Information technology

Challenges in Real-Time Data Processing and Visualization

Need for real-time collection, processing, and visualization of global IoT sensor data with performance optimization for interactive maps containing thousands of devices while maintaining responsiveness and user experience.

About the Client

Norwegian tech company specializing in indoor air quality monitoring solutions since 2008

Goals for Dashboard Enhancement and Market Expansion

  • Implement real-time data streaming and visualization system
  • Develop scalable map visualization with clustering capabilities
  • Enable customizable user dashboard interfaces
  • Establish CSV export functionality for data analysis
  • Optimize map performance for global device monitoring

Core System Functionalities

  • Real-time sensor data monitoring and alert system
  • Drag-and-drop customizable dashboard interface
  • CSV data export functionality
  • Interactive Mapbox-based global device map with clustering
  • Multi-room air quality tracking with threshold alerts

Technology Stack Requirements

React
Mapbox
Express.js
Node.js
AWS
Canvas

System Integration Needs

  • IoT device API integration
  • Cloud storage solutions

Performance and Scalability Requirements

  • Support for 10,000+ concurrent device connections
  • Map rendering performance under 200ms latency
  • Data security compliance with GDPR standards
  • Cross-platform compatibility across modern browsers

Expected Business Impact and Growth Opportunities

Enables global device monitoring capabilities, improves user engagement through customizable interfaces, facilitates market expansion through enhanced data visualization, and provides actionable insights for radon level analysis while maintaining 95% system uptime.

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