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TX Logistik AG and Mercitalia Intermodal are launching a pilot project to test the use of innovative sensors and communication technologies in Combined Transport (KV). The project for a smarter freight train is designed to last 15 months, with initial results expected in spring 2023.
(Troisdorf) In the pilot project, several freight cars from TX Logistik and Mercitalia Intermodal, both part of the Mercitalia Group (Gruppo FS Italiane), will be equipped with a wide variety of innovative sensors and communication technologies to determine how digital technology can best be integrated into the operations of Combined Transport and how processes can be further improved. The “Smart Waggons” will be tested as part of the services and transports provided by TX Logistik in Combined Transport. The aim is to collect meaningful data from everyday operations with this deployment of the cars.
The freight cars are equipped with a variety of modern sensors and communication technologies from various manufacturers, particularly Nexxiot and PJM, which meet the latest standards in terms of innovation and market readiness. The sensors monitor the condition of the braking system during travel and record the mileage to determine the exact location at any time. The collected data will also be used directly for predictive maintenance and operational efficiency.
Important Support Leg Monitoring
A particular focus is placed on the important support leg monitoring for Combined Transport. The digital technology checks the correct position of the kingpin, changes in the locking state, and the loading condition. Furthermore, the goal is to transition from the “smart wagon” to the “smart train,” where each wagon is connected to the others as well as to the driver, enabling automatic brake testing and monitoring of train dynamics during travel.
Identifying Further Application Areas
Based on this data pool, potential further application areas for process improvement in Combined Transport are to be identified. By involving various experts from the fields of wagon management, IT, data analysis, and operations, as well as utilizing the latest techniques in machine learning, further potentials in this area are expected to be unlocked.
The pilot project is seen as a pioneering initiative for capturing such a large variety of data directly from the operations of Combined Transport. Initial results are expected in spring 2023.
Photo: © TX Logistik
