Bellrock Technology is using deckchair® to help Angel Trains adopt a data-centric approach for monitoring, maintaining, and managing its assets.
Angel Trains is one of Britain’s leading train Asset Management companies with an enviable track record as an innovative and large-scale investor in the rail industry. They own 30% of the rolling stock in the UK and have over £5 billion invested in new trains.
Angel Trains wanted to use their data more efficiently to support the day-to-day monitoring across their fleet. Using live data, they wanted to help identify areas of improvement, gain a better understanding of their assets’ behaviour and have a collaborative approach with their customers and suppliers.
Using deckchair®, Angel Trains now use their data for door and engine performance monitoring and have an approach they can scale for wider use across the organisation. Angel Trains are now developing a solution for their end users, who do not have to be data experts.
“Bellrock Technology’s work has been transformational for Angel Trains, enabling us to better understand our assets and make informed decisions using this data. We never thought we could perform in-house data insights, but now, thanks to Bellrock Technology, we can code and assess our assets ourselves”.
Graham Dutton, Product Technology Manager, Angel Trains
Background
Bellrock Technology’s project with Angel Trains has seen them implement deckchair® to analyse live asset data for day-to-day fleet monitoring. This has seen the platform used to gather and combine data from multiple, diverse sources representing key train components, such as doors and engines, in real-time.
With deckchair® in place, the company has begun to investigate and understand assets’ behaviour and to create advanced data analytics that report issues early and identify areas for improvement. These insights will be used to make more accurate assessments of assets’ condition and to use these to make proactive decisions when required.
deckchair® is empowering Angel Trains’ drive to continually improve its performance to meet customer and passenger needs. The AI-capabilities of the deckchair® platform mean that Angel Trains’ engineers equipment experts can focus on understanding their data, whilst deckchair® handles the deployment of analytics and delivery of meaningful insights.
Angel Trains is also exploring how these insights could be shared with rail operators in order to foster a collaborative approach between customers and suppliers, and ultimately improve performance across the UK’s passenger network.
Key Results and Outcomes
deckchair® has enabled Angel Trains to move quickly and efficiently to investigate how data can meaningfully impact its business. Its adoption of the technology has meant that proof of concept projects can be delivered to business users for testing and evaluation without the need for a dedicated software engineering team. This has allowed the business to keep costs to a minimum whilst exploring how data can benefit its operations across several asset lines.
Bellrock Technology’s collaboration will enable Angel Trains to take a condition-based view to maintenance and the management of its assets. The organisation is currently assessing how this could best impact working practices to improve reliability, operational efficiency and ultimately customer satisfaction. Angel Trains is also investigating how these insights can be shared with operators with a view to enhancing improving performance across the UKs passenger network.
Head to Bellrock Technology’s website to find out more or get in touch.
