"This order from LTA confirms the growing demand from our customers for an entire asset management solution. The shift towards data-driven, just-in-time predictive maintenance and asset monitoring is key to guaranteeing one hundred percent availability of an entire system – from rolling stock to signaling, power and communications – and enhancing its performance over the lifecycle," said Johannes Emmelheinz, CEO of Siemens Mobility's rail service business.
REAMS will increase overall availability and improve operational efficiency by limiting maintenance downtime, increasing infrastructure reliability and optimizing the lifecycle costs of key assets. In the initial phase, the system will be implemented on Singapore's 42-kilometer Downtown Line (DTL), which is served by a fleet of 92 trains and 34 stations. The consortium will develop a software platform that will store and analyze data from DTL's maintenance management system and the core systems that are critical to DTL's efficient operation: trains, signaling, platform screen doors, power supply system, tracks, communications and the integrated supervisory control system. The collected technical data will be combined with financial information to create decision-supporting tools for data-centric asset management. The core functions of REAMS are expected to be operational by mid-2020. Other metro lines in Singapore will be added in future phases.
REAMS will also be equipped with data analytics capabilities and expertise based on Railigent, Siemens Mobility's Data Analytics Application Suite for Rail, in order to identify potential issues before they occur, so that assets can be repaired or renewed pre-emptively.
For further information about Siemens Mobility GmbH, please see: www.siemens.com/mobility