Systems and methods enable automated intelligent railway monitoring using railway image data from an imaging device. The railway image data includes image frames produced by the imaging device. A railway object recognition model is used to identify objects within the image frames and a railway condition is determined based on the object. A location and time associated with the railway condition are determined based on railway image data. Railway metrics are generated based on the railway condition and historical railway conditions. A railway condition prediction model is used to predict future railway conditions affecting an operating condition, an operating demand or both based on the railway metrics. An operating recommendation is determined to address the future railway condition and an alert is generated to with an indication of railway condition, the operating recommendation or both.
SYSTEMS AND METHODS FOR MACHINE LEARNING ENHANCED RAILWAY CONDITION MONITORING, ASSESSMENT AND PREDICTION
2024-03-14
Patent
Electronic Resource
English
Railway power systems condition monitoring
Tema Archive | 2006
|Remote Condition Monitoring of Railway Point Machine
British Library Conference Proceedings | 2002
|Remote condition monitoring for railway point machine
IEEE | 2002
|Condition Monitoring Systems in the Railway Industry
TIBKAT | 2020
|