From legacy to longevity: Bridging data and asset management in rail
As rail networks face increasing pressure to improve uptime, reduce costs and maintain reliable services, the limitations of traditional, time-based maintenance are becoming harder to ignore. What was once a minor operational inefficiency is now a significant risk to network performance, asset reliability and long-term cost management.
DT Infrastructure (DTI) is helping lead the shift away from legacy maintenance models through the implementation of its Intelligent Asset Platform (IAP). By leveraging pattern recognition and modern sensor data, we aim to help the industry move beyond rigid maintenance schedules toward a truly intelligent, data-driven future.
For Program Manager Asset Management, David Khoo, this represents more than a technical change. “This is not just a technical change, but a strategic evolution,” Khoo explains. “We are moving beyond traditional monitoring and toward an integrated IAP that identifies and addresses issues before failures occur.”
Operational framework and strategic advantages
By centralising all data onto a single platform, DTI’s rail team can establish a unique digital signature for every asset based on its real-time performance. This is a significant leap forward from the traditional “fix-on-fail” models.
Khoo explains that while traditional maintenance often relies on time-based inspections, pattern recognition models allow assets to display their own “vital signs.”
“Within the Rail Control and Operational Management System, our teams can track signatures such as current, voltage, and temperature.”
When a failure begins to emerge, the signature shifts, initially slightly, then propagating as the condition worsens. This provides the diagnostic clarity needed to identify a root cause before a total breakdown occurs.
This level of visibility transforms the maintenance lifecycle by enabling:
- Early intervention: reduces the risk of major failures by acting while a fault is still emerging.
- Resource optimisation: reducing reliance on constant manual site visits by enabling remote monitoring and targeted intervention.
- Improved predictability: helping avoids the material, labour and access constraints that often come with short-lead-time emergency repairs.
This granular visibility from digital signatures ensures every intervention is purposeful, enabling a shift from reactive maintenance to a truly proactive approach.
Ultimately, this IAP helps reduce costs by protecting project timelines from the delays and costs associated with unknown variables, effectively shifting the focus from simply fixing parts to understanding and optimising the entire lifecycle of the rail infrastructure.
Data driven and condition-based maintenance
Many organisations currently collect vast datasets without fully realising its value. As a result, valuable information often remains underutilised.
This platform allows us to interrogate these types of existing data sets over time. By doing so, we can identify sophisticated patterns that provide the necessary insights to execute maintenance and renewals with far greater accuracy.
The combination of pattern recognition and historical asset data enables maintainers to plan for the long term and detect anomalies early, which allows for decisive action before a failure occurs.
These diagnostics can then be translated into specific recommended actions that. When integrated with maintenance planning systems, Enterprise Asset Management EAM) or Computerised Maintenance Management Systems (CMMS), the platform helps close the gap between digital insights and physical execution.
Relying on such reliable datasets allows for more confident and rapid decision making, removing the need for guesswork by addressing the true root cause of an issue.
Ultimately, this data led approach streamlines the maintenance process and delivers significant savings in both time and capital by ensuring every insight is translated directly into a coordinated site response.
Enhanced asset visibility: Moving from data collection to holistic intelligence
A common misconception in the digital transformation journey is that shifting to an intelligence-led model requires a complete, high-cost overhaul of existing infrastructure.
Khoo challenges this view, noting that the barrier to entry has reduced significantly as modern sensors and edge computing have become more affordable, resilient, and accurate.
More often than not, existing systems are already collecting significant volumes of data that remain underutilised. By tapping into these resources and gaining a deeper understanding of the systems in place, rail operators can vastly improve their knowledge of asset health.
This simplified yet highly effective approach provides better resolution and more confident data, allowing for real time decisions that support a holistic asset management view without the need for rigid, time-based maintenance schedules.
Unlike many proprietary systems designed to operate only within a specific product ecosystem DTI’s solution is independent and adaptable. It can integrate with third-party systems and equipment from various vendors, reducing the risk of clients being locked into a single platform or provider
This flexibility prevents clients from being locked into a single ecosystem, ensuring the platform is highly adaptable and customisable.
Consequently, the system can be tailored precisely to meet both the strategic objectives and tactical requirements of each client, providing a versatile framework that evolves alongside the rail network.
A DT Infrastructure approach and practical application
As a key component of Rail Projects Victoria’s $1.75 billion Regional Rail Revival program, the Warrnambool Line Upgrade project has delivered critical improvements to passenger services between Melbourne and Warrnambool.
By leveraging modern industrial communication tools and advanced signalling infrastructure, the project team worked to enhance capacity, safety, reliability, and allow travel flexibility across the corridor.
The works went beyond a standard hardware upgrade, showcasing DT Infrastructure’s specialist integration capability and the use of Siemens technology to help create a resilient network supported by an informed decision-making.
This approach fostered seamless collaboration across diverse asset classes and subsystems, such as track and signalling, while ensuring that long-term investments are precisely targeted to deliver cost-effective outcomes throughout the entire asset lifecycle.
“The deployment of our locally designed Intelligent Asset Platform across Victoria’s rail network is assisting our teams as they work to close the gap between digital insights and physical execution,” says Khoo.
“Our rail team continues to develop the system and implement it across national projects, proving the value of a proactive, data-led strategy in modern rail management.”
While the platform’s full long-term functionality will continue to evolve as more data is collected and analysed, DT Infrastructure is already seeing the benefits of this technology in practice.
By bringing together asset data, operational insight and practical execution, the Intelligent Asset Platform is helping support more reliable infrastructure, better maintenance outcomes and stronger long-term performance for the communities and networks that rely on these critical transport links.