Strukton Rail is proud to announce the release of a completely renewed cloud based POSSOnline R7 platform, taking remote condition monitoring to a new level in the rail market. POSS, Strukton Rail’s monitoring system, uses big data, IoT and machine learning technology to provide rail asset owners with 24/7 insight into the performance of critical assets. Smart algorithms analyze and interpret the collected data and report on the root causes of failure modes. This enables asset owners, managers and contractors to intervene at the right time and at the right place.
One of the many challenges faced by railway asset managers is the obligation to achieve strict network performance objectives while the infrastructure is subjected to higher loads due to a higher frequency of train services. The ascending number of passenger miles implies increased degeneration of network performance, while less time is available for inspection and maintenance activities. This calls for a targeted maintenance approach.
As a smart rail maintenance specialist, Strukton Rail strives for continuous improvement of maintenance processes, resulting in optimized network availability. A key component of its approach is the transfer of condition data into predictive values and actionable information.
From time-based maintenance to predictive maintenance
The POSSOnline platform R7 improves insight into the condition of assets, enabling asset managers to better manage and control maintenance processes. POSSOnline R7 converts asset condition data into information that adds predictive value to maintenance strategies. It simply facilitates a way to look back, to view current and to forecast asset-performance by identifying improvement potential. It does so through advanced analytical tools and by deploying smart algorithms coupled to domain knowledge in order to automate the root cause analysis and provide actionable information. This supports the transition from a time-based maintenance regime to a predictive maintenance regime.
Virtual maintenance assistant
The new POSSOnline R7 platform acts as a virtual maintenance assistant supporting the development of maintenance strategies. The Strukton Rail Control Center and its team of reliability engineers evaluate actionable information to assist rail asset managers during their transition capturing the potential of a predictive maintenance strategy.
The POSSOnline R7 platform enables the use of smartphones, laptops and other devices to obtain and exchange performance information. The platform allows for multiple users to connect to multiple existing and upcoming application platforms. The open architecture makes the platform and analysis tooling future-proof for integration with, for example, IoT sensing technology. This provides uniformity and standardization in the journey to the next step(s) in predictive maintenance to achieve optimized availability and safety against lower total cost of ownership (TCO).