Integrated Automated Rail Geometry Monitoring System for Enhanced Accuracy and Scalability

The client currently relies on outdated rail monitoring systems that require manual setup and are prone to human error, limiting the ability to perform simultaneous multi-station surveys and accurate geometry calculations over large track sections. The need exists for an automated, scalable solution that reduces manual interventions, minimizes errors, and can integrate multiple data sources for comprehensive rail monitoring.

A large-scale rail infrastructure monitoring organization seeking to modernize its survey and measurement processes with automated, scalable solutions to improve accuracy and operational efficiency.

• Implement a modular, scalable monitoring platform capable of simultaneous multi-station surveys.
• Automate survey setup, configuration, and rail geometry calculations to minimize manual errors.
• Enable processing of overlapping survey data from multiple sources for accurate rail geometry assessment.
• Incorporate existing code modules for alarm management and data transfer to ensure reliability and efficiency.
• Design system architecture that supports future expansion and integration with various hardware and software components.

• Modular system architecture with separate survey, processing, and alarming modules for flexibility and scalability.
• Automation tools for survey setup and configuration to reduce manual intervention and configuration errors.
• Advanced processing algorithms capable of handling overlapping survey data from multiple Total Stations for accurate rail geometry analysis.
• Reuse and integration of existing code modules for alarm management and data transfer protocols (e.g., FTP).
• Real-time alerting and monitoring dashboards for rapid issue identification and response.

• Total Station hardware for data collection
• Alarm management modules
• Data transfer protocols (FTP or similar)
• Potential future integrations with other rail monitoring sensors or subsystems

• System should support scalability to accommodate additional stations as needed.
• High reliability with minimized human error through automation.
• Real-time data processing and alerting capacity.
• Secure data transfer and storage protocols.

The development of this automated, modular rail geometry monitoring system is expected to significantly improve measurement accuracy, reduce manual setup errors, and streamline operations. Targeted outcomes include the ability to process complex overlapping survey data accurately, enhance alarm system reliability, and build a system architecture that scales easily to support future expansion efforts.