Automated framework on Azure
Instant issue notifications
Retry support for errors
Reliable processes
The challenge
Enhancing railway infrastructure with real-time IoT solutions
One of the railway network operators needed a real-time, IoT-enabled solution to efficiently manage its complex infrastructure. Fractal developed individual components and a real-time response system on the Azure cloud platform using the Databricks framework.
Key challenges
Ensuring instant detection of infrastructure issues
Connecting IoT data with existing railway systems
Handling vast amounts of data across the network
The solution
Smart infrastructure management with real-time analytics
Data and security
Built ingestion, storage, and analytics components
Secured networking on Azure
Enabled real-time data processing
Real-time insights
Live status reporting and analysis
Integrated drill-down analytics
Instant support for business systems
Implementation approach
1
Data processing and integration
Streamlined data ingestion and access
Integrated IoT sources with Azure
Added real-time metadata for insights
2
Real-time monitoring
Enabled real-time tracking and alerts
Supported proactive responses
Automated issue detection
3
Scalability and reliability
Built for high-volume processing
Ensured resilience with failover
Optimized uptime and performance
The impact
Seamless automation and real-time resilience
Automation and efficiency
Fully automated on Azure
Lower manual workload
Streamlined workflows
Real-time reliability
Instant alerts and issue detection
Automated failure recovery
Reduced service interruptions
Scalability and resilience
Handled high-volume data
Ensured seamless performance
Improved system stability
Looking ahead
Enhanced AI integration
Leverage AI for predictive maintenance
Expanded scalability
Optimize for larger data volumes and regions
Continuous improvement
Refine automation and real-time insights
