This classification empowers the operations team with stronger operational awareness, facilitates informed decision-making, and significantly improves efficiency and productivity. The system also uniquely integrates machine-generated train-borne alarms with train maintenance information from various systems, even those from different manufacturers.
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A smoother journey ahead
What sets Project 6Sense apart is its originality and customisation. With no off-the-shelf product available to meet specific requirements, SBS Transit developed the system in-house. It is the only product that integrates data from various systems and manufacturers, presenting meaningful information to enhance operational awareness and facilitate effective decision-making.
The NEL and DTL’s unique integration of five core railway system components from different manufacturers further necessitated a customised solution, making Project 6Sense tailor-made for their specific needs.
Project 6Sense also leverages AI techniques, specifically natural language processing, to process and predict the cause of issues based on unstructured text descriptions in maintenance work orders.
Processing unstructured text poses challenges such as spelling mistakes, shorthand and context-specific acronyms. Project 6Sense cleans and processes this information using AI, achieving a higher degree of accuracy and providing deeper insights for the operations team.
The impact of Project 6Sense has been substantial. It allows SBS Transit’s operations team to enhance operational awareness, leading to better management of train faults and minimising delays and disruptions for commuters.
The system also facilitates effective decision-making, enabling staff to identify patterns and respond quickly to incidents.
Moreover, Project 6Sense eliminates the slow and onerous task of manually downloading and analysing data, improving efficiency and allowing employees to focus on higher-level tasks and career development.
It directly contributes to sustaining a high mean kilometres between failure (MKBF) in rail reliability, with delays lasting less than five minutes.
The DTL has clocked more than eight million train-km in MKBF, making it one of the most reliable lines globally, while the NEL has consistently clocked two million train-km.
By leveraging AI and advanced analytics to provide insights into the health status of the train fleet, Project 6Sense’s innovative dashboard is not only a game changer, but also crucial in maintaining the city-state’s reputation for transport reliability.
