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Case Study

PANTOhealth Improves Accuracy and Efficiency of Predictive Rail Maintenance With Skylark

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“Without the ability to accurately pinpoint the location of a defective infrastructure component, the maintenance provider will be unable to identify where a repair must be carried out. Skylark makes predictive maintenance of train and railway infrastructure possible.”

Morteza Nokhodian, CTO, PANTOhealth

PANTOhealth is a provider of predictive maintenance solutions for the German railway market. Railway maintenance is a multifaceted endeavor, encompassing repairs, quality control, and timely interventions to ensure seamless operations and prevent safety hazards. Yet, the inherent challenge lies in the accurate localization of defects amidst vast stretches of railway networks. To solve this, PANTOhealth has developed a predictive maintenance solution that not only forecasts potential failures but also optimizes maintenance schedules, thereby saving invaluable time and resources for transport companies.

Recognizing the limitations of standard GNSS accuracy, PANTOhealth partnered with Swift to enhance the precision of defect localization. With Swift’s Skylark Precise Positioning Service, they improved the accuracy levels to below 10 centimeters. This leap in precision proved instrumental in effectively identifying and addressing issues, even in instances where problematic points were in close proximity.

The implementation of precise positioning yielded tangible results for PANTOhealth. Not only were they able to reliably record locations and distinguish problematic data points, they also witnessed a substantial enhancement in the classification of predictive maintenance data. This breakthrough has cemented precise positioning as an indispensable component of PANTOhealth's rail health maintenance and prediction system.