Tokyo Metro and ABeam are jointly studying the realization of condition-based maintenance of railway

Tokyo Metro and ABeam Consulting have begun a joint research on data analytics methods to shift rolling stock maintenance from time-based to condition-based maintenance (CBM).

CBM is a maintenance method that performs inspections and equipment updates based on vehicle condition data, enabling more efficient and effective maintenance than traditional time-based maintenance (TBM).

Tokyo Metro aims to optimize maintenance operations and improve safe and stable transportation by developing machine learning and big data analysis technologies based on equipment status data.

ABeam Consulting provides a wide range of consulting services in the transportation sector, from business transformation to the use of digital technologies. We will support the creation of new business models and solve social problems such as aging equipment and human resource shortages, and contribute to the realization of a sustainable society.

The joint study will combine the assets of both companies to study vehicle condition data analysis methods for the realization of CBM for railway vehicles, and consider system infrastructure configurations that utilize the analysis methods in maintenance operations. The aim is to build a new data-based maintenance system to further improve safe and stable transportation, and to promote DX in maintenance work to cope with the shortage of engineers in the future.

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