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PANTOhealth

Lupe

Simulation, monitoring and predictive maintenance 

Team:
Farzad Vesali
(Dr.-Ing. Rolling Stock Engineering)

Mina Kolagar
(M. Sc. Energy Systems Engineering)

Morteza Nokhodian
(M. Sc. Software Engineering)

Amir Bashari
(M. Sc. Mechanical Engineering)

Sector:
IoT, Railway industry, Predictive maintenance,
Software, Sustainable development

Mentor:
Prof. Dr.-Ing. Markus Hecht

Faculty:
Faculty V – Mechanical Engineering and Transport Systems
Institute of Land and Sea Transport (ILS)
Department of Rail Vehicles

Support:
EXIST-Gründerstipendium: 01.09.2020 - 31.08.2021

Reliable infrastructure with predictive maintenance

Our idea

PANTOhealth plans to reduce maintenance costs of train infrastructure and improve the punctuality of trains through predictive maintenance technology.

The PANTOhealth technology uses a combination of a hardware and a software package.

The PANTOhealth hardware is installed on the pantograph and sends data to the server, which is read by the software using AI technology, to generate the report on the condition of the pantograph and the overhead line.

Therefore, both train operators and infrastructure managers will reduce maintenance costs by using these services. Real-time notification will help train operators and infrastructure managers to find malfunctions and failures to avoid delays.

www.pantohealth.com

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