Apparatuses, systems, and methods for monitoring moving vehicles
Railcar inspection systems, methods, and apparatuses are disclosed, including a railcar inspection portal. The railcar inspection portal includes a physical structure positioned around a railroad track, and through which a railcar can travel. The railcar inspection portal can include wheel detection sensors along the railroad track for detecting the presence of a railcar passing over the sensors. The sensors can transmit signals, corresponding to railcars passing over the sensors, to computing devices for determining railcar speeds. The railcar inspection portal can include imaging devices configured to capture images and readings of railcars passing through the inspection portal. Based on a determined speed corresponding to a passing railcar, the computing devices can control the imaging devices to capture specific areas or components of the passing railcar, or individual cars thereon. The computing devices can process the captured images to detect defects corresponding to the passing railcar, or individual cars thereon.
1. An inspection system comprising:
a plurality of wheel detection sensors configured to detect a presence and/or a non-presence of wheels of a passing railcar traveling along a railway;
one or more imaging devices configured to capture inspection images of the passing railcar travelling along the railway; and
one or more computing devices in communication with the plurality of wheel detection sensors and the one or more imaging devices, the one or more computing devices being configured to:
determine a current estimated train speed for the passing railcar based at least in part on wheel detection events detected by the plurality of wheel detection sensors;
output capture instructions for the one or more imaging devices to capture images of one or more target regions of the passing railcar, wherein one or more corresponding timings of the capture instructions are based at least in part on the current estimated train speed; and
perform a system health monitoring process comprising:
determining an expected data profile based on the current estimated train speed;
receiving captured image data associated with one or more captured images that were captured by the one or more imaging devices according to the capture instructions;
determining, based on a comparison of the captured image data to the expected data profile, whether a system health of the inspection system is acceptable; and
in response to determining that the system health of the inspection system is not acceptable, outputting a notification indicating the system health of the inspection system is not acceptable.
2. The system of claim 1 , wherein the captured image data comprises a time stamp for each of the one or more captured images.
3. The system of claim 2 , wherein:
performing the system health monitoring process further comprises determining, based at least in part on the time stamp for each of the one or more captured images, an inspection capture rate corresponding to each of the one or more imaging devices;
the expected data profile comprises an expected capture rate corresponding to each of the one or more imaging devices;
the captured image data comprises an inspection capture rate corresponding to each of the one or more imaging devices; and
determining whether the system health of the inspection system is acceptable comprises, for each of the one or more imaging devices:
comparing each expected capture rate to each corresponding inspection capture rate; and
determining whether the inspection capture rate is within an acceptable error tolerance of the expected capture rate.
4. The system of claim 2 , wherein:
the expected data profile comprises an expected number of images captured by each of the one or more imaging devices;
the captured image data comprises a number of captured images captured by each of the one or more imaging devices; and
determining whether the system health of the inspection system is acceptable comprises, for each of the one or more imaging devices:
comparing the expected number of images to the number of captured images; and
determining whether the number of captured images is within an acceptable error tolerance of the expected number of images.
5. The system of claim 1 , wherein determining that the system health of the inspection system is not acceptable is indicative of one or more damaged or malfunctioning imaging devices.
6. The system of claim 1 , wherein determining that the system health of the inspection system is not acceptable is indicative of a transmission error between the plurality of wheel detection sensors and the one or more computing devices or between at least one of the one or more imaging devices and the one or more computing devices.
7. The system of claim 1 , wherein the one or more computing devices are further configured to determine, based at least in part on the comparison of the captured image data to the expected data profile, a likely root cause of a detected abnormality of the inspection system, wherein the notification further comprising an indication of the detected abnormality and the likely root cause.
8. A method for determining a system health of an inspection system comprising (i) a plurality of wheel detection sensors configured to detect a presence and/or a non-presence of wheels of a passing railcar traveling along a railway; (ii) one or more imaging devices configured to capture inspection images of the passing railcar travelling along the railway; and (iii) one or more computing devices in communication with the plurality of wheel detection sensors and the one or more imaging devices, the method comprising:
determining a current estimated train speed for the passing railcar based at least in part on wheel detection events detected by the plurality of wheel detection sensors;
determining an expected data profile based on the current estimated train speed;
receiving captured image data associated with one or more captured images that were captured by the one or more imaging devices according to specific capture instructions;
determining, based on a comparison of the captured image data to the expected data profile, whether a system health of the inspection system is acceptable; and
in response to determining that the system health of the inspection system is not acceptable, outputting a notification indicating the system health of the inspection system is not acceptable.
9. The method of claim 8 , wherein the captured image data comprises a time stamp for each of the one or more captured images.
10. The method of claim 9 , wherein:
the method further comprises determining, based at least in part on the time stamp for each of the one or more captured images, an inspection capture rate corresponding to each of the one or more imaging devices;
the expected data profile comprises an expected capture rate corresponding to each of the one or more imaging devices;
the captured image data comprises an inspection capture rate corresponding to each of the one or more imaging devices; and
determining whether the system health of the inspection system is acceptable comprises, for each of the one or more imaging devices:
comparing each expected capture rate to each corresponding inspection capture rate; and
determining whether the inspection capture rate is within an acceptable error tolerance of the expected capture rate.
11. The method of claim 8 , wherein:
the expected data profile comprises an expected number of images captured by each of the one or more imaging devices;
the captured image data comprises a number of captured images captured by each of the one or more imaging devices; and
determining whether the system health of the inspection system is acceptable comprises, for each of the one or more imaging devices:
comparing the expected number of images to the number of captured images; and
determining whether the number of captured images is within an acceptable error tolerance of the expected number of images.
12. The method of claim 8 , wherein determining the system health of the inspection system is not acceptable is indicative of one or more damaged or malfunctioning imaging devices.
13. The method of claim 8 , wherein determining the system health of the inspection system is not acceptable is indicative of a transmission error between the plurality of wheel detection sensors and the one or more computing devices or between at least one of the one or more imaging devices and the one or more computing devices.
14. The method of claim 8 , further comprising determining, based at least in part on the comparison of the captured image data to the expected data profile, a likely root cause of a detected abnormality of the inspection system, wherein the notification further comprising an indication of the detected abnormality and the likely root cause.
15. A non-transitory, computer readable medium storing instructions that, when executed by one or processors, causes a computing system to determine a current estimated train speed for a passing railcar based at least in part on wheel detection events detected by a plurality of wheel detection sensors of an inspection system;
receive captured image data associated with one or more captured images of the passing railcar that were captured by one or more imaging devices of the inspection system, the one or more captured images having been captured according to specific capture instructions;
determine an expected data profile based on the current estimated train speed;
determine, based on a comparison of the captured image data to the expected data profile, whether a system health of the inspection system is acceptable; and
in response to determining that the system health of the inspection system is not acceptable, output a notification indicating the system health of the inspection system is not acceptable.
16. The non-transitory, computer readable medium of claim 15 , wherein the captured image data comprises a time stamp for each of the one or more captured images.
17. The non-transitory, computer readable medium of claim 16 , wherein the instructions, when executed by the one or processors, further causes the computing system to determine, based at least in part on the time stamp for each of the one or more captured images, an inspection capture rate corresponding to each of the one or more imaging devices,
wherein:
the expected data profile comprises an expected capture rate corresponding to each of the one or more imaging devices;
the captured image data comprises an inspection capture rate corresponding to each of the one or more imaging devices; and
determining whether the system health of the inspection system is acceptable comprises, for each of the one or more imaging devices:
comparing each expected capture rate to each corresponding inspection capture rate; and
determining whether the inspection capture rate is within an acceptable error tolerance of the expected capture rate.
18. The non-transitory, computer readable medium of claim 15 , wherein:
the expected data profile comprises an expected number of images captured by each of the one or more imaging devices;
the captured image data comprises a number of captured images captured by each of the one or more imaging devices; and
determining whether the system health of the inspection system is acceptable comprises, for each of the one or more imaging devices:
comparing the expected number of images to the number of captured images; and
determining whether the number of captured images is within an acceptable error tolerance of the expected number of images.
19. The non-transitory, computer readable medium of claim 15 , wherein determining the system health of the inspection system is not acceptable is indicative of one or more damaged or malfunctioning imaging devices.
20. The non-transitory, computer readable medium of claim 15 , wherein determining the system health of the inspection system is not acceptable is indicative of a transmission error between the plurality of wheel detection sensors and one or more computing devices of the inspection system or between at least one of the one or more imaging devices and the one or more computing devices.
21. The non-transitory, computer readable medium of claim 15 , wherein the instructions, when executed by the one or processors, further causes the computing system to determine, based at least in part on the comparison of the captured image data to the expected data profile, a likely root cause of a detected abnormality of the inspection system, wherein the notification further comprising an indication of the detected abnormality and the likely root cause.