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Rail

De-risking Rail System Innovation with Real-World Data

The rail industry is undergoing a major transition as legacy systems are replaced with more advanced, electrified, and data-driven technologies. From energy storage systems to onboard electronics, engineering teams must validate performance, safety, and reliability under demanding real-world operating conditions.

The ODOS CAN-to-Cloud data platform enables rail engineers to remotely monitor critical systems, capture high-resolution operational data, and validate performance across fleets operating in extreme and variable environments.

Installed directly on onboard systems and subsystems, ODOS loggers capture detailed data from electrical, energy storage, and control systems. This data is securely streamed to the ODOS CloudSoft platform, providing engineering teams with real-time visibility into system behaviour across distributed rail assets.

Engineering Challenges in Rail System Development

Rail operators and engineering teams face a unique set of challenges when introducing new technologies:

  • Systems must meet strict safety and reliability requirements
  • Performance must be validated across extreme temperatures and environments
  • Limited visibility into onboard systems can slow fault detection and diagnostics
  • Maintenance remains largely reactive rather than predictive
  • New technologies (e.g. lithium-ion) require evidence to build industry trust

Capturing reliable, real-world data is critical to de-risk innovation in safety-critical rail environments.

How ODOS Supports Rail Engineering

ODOS provides a complete CAN-to-Cloud platform for monitoring and analysing rail systems in operation.

ODOS loggers are deployed directly within onboard systems to capture critical metrics such as voltage, current, temperature, charge cycles, and system performance data. Using secure connectivity, this data is streamed in real time to the ODOS CloudSoft platform.

Engineering teams can remotely monitor system behaviour, detect anomalies early, and analyse performance trends over time, without needing physical access to the asset.

This enables faster validation, improved safety assurance, and more efficient system development.

Megalog AMP Rail

Typical Engineering Use Cases

ODOS supports multiple rail engineering and validation scenarios:

Energy Storage System Validation
Monitor lithium-ion and other battery systems in real-world conditions to validate safety, performance, and lifecycle behaviour.

Extreme Environment Testing
Capture system performance across wide temperature ranges and harsh operating environments.

Remote Diagnostics and Fault Detection
Identify early signs of failure and investigate issues remotely without requiring physical inspection.

Predictive Maintenance Development
Use real-world data to move from reactive maintenance to predictive and condition-based strategies.

Fleet-Wide Monitoring
Gain visibility into multiple locomotives or rail assets through a single cloud platform.

Proven in Rail System Innovation

ODOS solutions are supporting rail technology innovators in validating next-generation systems in real-world conditions.

Rail technology company AMP Rail LLC deployed ODOS cloud-connected monitoring to gain real-time visibility into lithium-ion battery performance across its rail applications.

By capturing high-resolution operational data, AMP Rail was able to:

  • Validate battery safety under extreme conditions
  • Monitor degradation and long-term performance
  • Detect early signs of potential failure
  • Build confidence in lithium-ion adoption across the industry

Across testing environments ranging from -40°C to +50°C, AMP Rail achieved zero critical failures while accelerating industry adoption timelines by 5–10 years.

👉 Read the AMP Rail Case Study to learn how ODOS supports rail system development.

ODOS enables rail engineering teams to validate safety-critical systems, accelerate development programmes, and gain real-world visibility into system performance.

If you are developing or deploying new rail technologies and need reliable insight into how your systems perform in operation, ODOS can help.

 


Turning Machine Data into Engineering Insight

Across modern industrial vehicles and machines, engineering teams need reliable access to real-world data to validate designs, diagnose issues, and continuously improve performance.

ODOS provides a complete CAN-to-Cloud data platform that combines rugged vehicle data loggers, secure connectivity, and powerful cloud analytics in one integrated system. From prototype development and field validation to fleet monitoring and long-term performance analysis, ODOS enables engineering teams to capture the data that matters, wherever machines operate.

With ODOS, organisations gain real-time visibility into their machines, accelerate development cycles, reduce downtime, and make better engineering decisions based on real operational data.


Contact us today to discuss your project or visit our contact page to get in touch.