AT: SmartDigital Group and Plasser Group’s Digital Railway Solutions have formally established the Dynamic Rail Utilities Monitoring joint venture which will use unmanned aircraft and AI to build digital models of rail infrastructure assets.
‘With SmartDigital we are able to digitise a route from the air with the help of long-distance drones and make it available to the infrastructure manager’, said Florian Auer, Director of Global Technology & Innovation at Plasser & Theurer, on March 29.
‘An IT platform and a perfect unmanned aircraft system are not worth much without railway sector knowledge’, said SmartDigital Group CEO Alexander Schuster. ‘The decades of expertise of the Plasser Group paired with our knowledge of drone technologies and artificial intelligence make DRUM a competent partner for the digitisation of the railway industry.’
ZA: Transnet has started investigating allegations of ‘ghost trains’ on its network, following reports that services may be operating which are not formally scheduled, with the revenue not flowing back to the national freight operator.
US: The Illinois Commerce Commission in the US has given its approval for the implementation of highway-rail safety projects on local roads throughout the state.
The projects have been approved under the five-year Crossing Safety Improvement Program (FY 2024-2028).
ICC chairman Carrie Zalewski said: “The projects in this year’s …
Topic of the week
Predictive maintenance – a growing market
Predictive maintenance is a concept that is used in many industries and aims to monitor the condition of plant and machinery in order to predict and prevent potential failures. Predictive maintenance is becoming increasingly important in the rail market in particular, as the availability of rail vehicles is crucial for the mobility of millions of people around the world.
The global market for predictive maintenance in the rail market has grown strongly in recent years and is expected to reach US$4.4 billion by 2024, up from US$2.3 billion in 2019, representing annual growth of approximately 14%.
The growth of the market is driven by the increasing adoption of technologies such as the Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML), which enable rail operators to monitor the condition of rolling stock in real time and perform preventive maintenance.
The demand for predictive maintenance in the rail market is also driven by the need for increased uptime and reliability of rail vehicles, particularly high-speed trains travelling at speeds of up to 400km/h. Failure of these trains can have serious consequences and cause significant disruption to rail traffic.
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