Remote condition monitoring

The intelligent rail monitoring tools provide detailed insights into the condition of your assets, allowing you to take a proactive approach to both preventive and corrective maintenance. By continuously tracking train performance, operators can reduce asset failures and ensure maximum uptime.

Key features:

• Remote train condition monitoring – get a real-time view of your fleet’s health and performance.
• Predictive and preventive maintenance – use advanced analytics to predict issues before they occur and reduce reactive maintenance efforts.
• Minimise asset downtime – keep your trains running smoothly with early detection of faults and timely interventions.

RailSmart RCM includes a fully integrated defect management system, helping operators detect and resolve issues quickly and effectively. This system enhances your ability to manage train performance and minimise disruptions by identifying problems before they lead to breakdowns.

Defect management benefits:

• Proactive defect monitoring – detect and resolve issues early to maintain rail reliability.
• Remote condition monitoring railway – monitor train condition remotely and track real-time data for actionable insights.
• Reduced maintenance costs – address issues early, avoiding expensive repairs and operational delays.

RailSmart RCM’s remote railway track monitoring capabilities allow operators to keep track of key infrastructure health without requiring constant on-site inspections. This remote rail monitoring solution ensures your rail network remains in optimal condition, reducing the risk of disruptions and extending asset life.

Track monitoring features:

• Real-time track monitoring – monitor critical infrastructure remotely to maintain operational efficiency.
• Reduced track downtime – keep your tracks in peak condition, reducing maintenance frequency and cost.
• Preventive and corrective maintenance – proactively manage track health to prevent future issues.

RailSmart RCM integrates easily with your existing railroad management software, creating a cohesive platform for managing both train condition monitoring and asset maintenance. By streamlining data collection and analysis, this integration improves overall system reliability and gives operators a clearer picture of fleet performance.

Key integration features:

• Data consolidation – unify your train performance and maintenance data in one platform.
• Rail management software compatibility – works seamlessly with other railroad management systems for smooth operations.
• Enhanced decision-making – access all critical information in one place to make informed decisions about rail maintenance.

RailSmart RCM provides access to both live and historical train performance data, allowing operators to analyse trends, assess performance over time, and make data-driven decisions to enhance operations. The intuitive data grouping features allow you to sort data by driver, journey, or asset, providing deep insights into every aspect of your fleet.

Data monitoring features:

• Near real-time rail monitoring – get a comprehensive view of your train and track conditions in real time.
• Historical train performance analysis – access in-depth historical data to identify trends and areas for improvement.
• Intuitive data grouping – group data by head codes, drivers, and journeys for easier analysis.

RailSmart RCM lets operators set triggers and alerts based on variances in key data channels. These automated alerts ensure you are notified as soon as any performance issues arise, allowing you to take action before they escalate.

Alert features:

• Custom triggers – set personalised triggers to monitor critical rail performance metrics.
• Real-time notifications – receive instant notifications about any changes or issues.

RailSmart RCM allows you to monitor various digital and analogue data channels, providing a comprehensive view of both train and track conditions. This scalability ensures that operators can track everything from train performance to track conditions, optimising the entire rail network.

Scalability highlights:

• Multiple channel monitoring – track different types of data from multiple sources simultaneously.
• Flexible data analysis – analyse data from both digital and analogue sources to gain complete insights into rail performance.
• Real-time data export – export critical data into popular file formats for further analysis and reporting.