LOCATION BASED RAILWAY ANOMALY DETECTION
First Claim
1. A system to detect railway anomalies, the system comprising:
- a processor subsystem; and
a memory including instructions that, when executed by the processor subsystem, cause the processor subsystem to;
receive measurements from a sensor array coupled to a railcar in a train;
obtain baseline measurements from the sensor array;
obtain, in near real time, measurements from the sensor array while the railcar is operating;
detect a railcar anomaly based a comparison between the baseline and operating measurements, wherein the comparison of baseline and operating measurements includes an evaluation, over a sequence of time data points, inertia sensor measurements to detect abnormal railcar oscillation;
store the data indexed to a GPS location in a database; and
transmit an alert to an output device when an anomaly is detected based on the collected measurements from the railcars.
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Accused Products
Abstract
Systems and methods for detecting train rail and railcar anomalies are disclosed herein. In an example, detecting anomalies includes: receiving measurements from a sensor array coupled to a railcar in a train; obtaining baseline measurements from the sensor array; obtaining, in near real time, measurements from the sensor array while the railcar is operating; and detecting a railcar anomaly based a comparison between the baseline and operating measurements. In an example, the comparison of baseline and operating measurements includes evaluating, over a sequence of time data points, inertia sensor measurements (such as caused by side to side railcar movement) to detect abnormal railcar oscillation. In further examples, the data indexed to a GPS location is stored in a database, and respective alerts are transmitted or outputted to an output device (such as a display device) when an anomaly is detected based on the collected measurements from the railcars.
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Citations
24 Claims
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1. A system to detect railway anomalies, the system comprising:
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a processor subsystem; and a memory including instructions that, when executed by the processor subsystem, cause the processor subsystem to; receive measurements from a sensor array coupled to a railcar in a train; obtain baseline measurements from the sensor array; obtain, in near real time, measurements from the sensor array while the railcar is operating; detect a railcar anomaly based a comparison between the baseline and operating measurements, wherein the comparison of baseline and operating measurements includes an evaluation, over a sequence of time data points, inertia sensor measurements to detect abnormal railcar oscillation; store the data indexed to a GPS location in a database; and transmit an alert to an output device when an anomaly is detected based on the collected measurements from the railcars. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. At least one machine readable medium including instructions to detect railway anomalies that, when executed by a machine, cause the machine to:
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receive measurements from a sensor array coupled to a railcar in a train; obtain baseline measurements from the sensor array; obtain, in near real time, measurements from the sensor array while the railcar is operating; detect a railcar anomaly based a comparison between the baseline and operating measurements, wherein the comparison of baseline and operating measurements includes an evaluation, over a sequence of time data points, of inertia sensor measurements to detect abnormal railcar oscillation; store the data indexed to a GPS location in a database; and transmit an alert to an output device when an anomaly is detected based on the collected measurements from the railcars. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A method for detecting railway anomalies, the method comprising:
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receiving, by a processor subsystem, measurements from a sensor array coupled to a railcar in a train; obtaining baseline measurements from the sensor array; obtaining, in near real time, measurements from the sensor array while the railcar is operating; detecting a railcar anomaly based a comparison between the baseline and operating measurements, wherein the comparison of baseline and operating measurements includes an evaluation, over a sequence of time data points, of inertia sensor measurements to detect abnormal railcar oscillation; storing the data indexed to a GPS location in a database; and transmitting an alert to an output device when an anomaly is detected based on the collected measurements from the railcars. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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Specification