This article first appeared in the Railway-News magazine Issue 5 2021.
The French-based company, designs and sells connected solutions for railway maintenance, from railway-certified IoT sensors to data analysis platforms, all based on artificial intelligence.
Predictive maintenance is the next big shift. For both railway operators and infrastructure managers, preventive or condition based maintenance programmes will not be enough to overcome the approaching challenges facing the railway industry.
Preventing failures and defining the optimal maintenance regime for infrastructure and railway vehicles based on their life-cycle and cost will need data analytics and artificial intelligence. A higher competitiveness being the ultimate goal of the predictive maintenance, it needs to be implemented with the help of trustworthy partners.
SNCF, TRANSDEV, RATP and CFL among many others are already relying on Stimio’s IoT solutions.
The company is developing and selling its Oxygen IoT suite, which consists of Oxygen Edge for data acquisition sensors and Oxygen Cloud, its enriched data recovery platform. This comprehensive solution frees its customers from the complexities of IoT projects (networks of ultra-low consumption sensors, telecommunications, applications developments, etc.), thus letting them focus on business data with significant added value. By combining AI and machine learning technologies, the platform predicts future behaviours and failures in order to better anticipate breakdowns and enable optimal service availability. The data collected and enriched by Stimio can be easily integrated into its customers’ information systems in order to be exploited. A recent webinar with IBM presents how the EAM, Maximo Health & Predict and Oxygen can co-operate to enhance maintenance operations – see the video below.
Stimio’s solutions are already deployed for the following applications for passenger operators:
And for railway infrastructure:
Use the form opposite to get in touch with STIMIO directly to discuss any requirements you might have.