Importance

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Abstract

To enhance the safety and security of the operation of a railway network, a railway operation monitoring and diagnosing system is disclosed that monitors and diagnoses the entire railway network as an integrated system. The railway operation monitoring and diagnosing system comprises a railway operation predictor and a diagnosing means. The railway operation predictor generates anticipated values of selected railway operation state (ROS) variables. ROS variables may discrete or continuous. If there are continuous ROS variables selected, the railway operation predictor also determines the safety intervals of these continuous ROS variables. The diagnosing means examines the measured values of the selected ROS variables versus their anticipated values and/or safety intervals to detect and diagnose their discrepancies. A heuristics, statistics, fuzzy logic, artificial intelligence, neural network, or/and expert system is included in the diagnosing means for diagnosing the records of such discrepancies. If necessary, the railway operation predictor generates pessimistically anticipated values of a plurality of selected ROS and possibly other variables for further diagnosing the railway operation. The diagnosing means issues a diagnosis report and/or a recommendation, whenever the diagnosing means decides that such an issuance is appropriate.

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First Claim