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Remote Condition Monitoring—Using the Internet of Things for a Better Passenger Experience
Manage episode 384614642 series 3529911
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In this episode Dave Hatfield and Simon Rodgers talk about the work they are doing to improve the lot of passengers. A pilot project to deliver and respond to real-time data about the environmental conditions inside train carriages. Ultimately, they want to predict issues up to 24 hours before they happen and take remedial action to prevent or minimise them.
01:31 About Simon and the work his company does with technology.
02:14 About Dave and his railway career.
02:49 The Internet of Things and what it can do to improve passenger experience.
04:06 How the Internet of Things could improve train services.
05:27 How in-carriage data is being transmitted and used 24 hours a day, and how it will be used to forecast issues 24 to 48 hours ahead of them happening.
07:29 The benefits for Grand Central Railway—pre-emptive maintenance and fewer trains unexpectedly out of service.
08:11 What can be measured, used, and deliver better operations and cost savings.
Resources related to this episode:
LTE-M, or LTE Cat M1, is a wide area network that uses radio technology for communication. https://en.wikipedia.org/wiki/LTE-M
What is LTE-M? a blog by Link Labs https://www.link-labs.com/blog/what-is-lte-m
LTE-M connectivity optimized for IoT: from Thales. https://www.thalesgroup.com/en/markets/digital-identity-and-security/iot/resources/innovation-technology/lte-m
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