Page Content
PANTOhealth
- © PANTOhealth
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.