The disclosure relates generally to the field of high speed imaging systems and methods. More specifically, the disclosure relates to the field of capturing thermal images using a camera in conjunction with a rotating shutter.
In extreme situations, the axle bearings of a railcar or locomotive can fail leading to bearing burn off and derailment. To detect such situations, “hot bearing detection systems”—typically known as hotbox monitors or detectors—are installed along railways to monitor the condition of rail car axle bearings during transit.
A hotbox detector has a sensor device, or scanner, that detects the temperature of a body passing within a given detection zone. A typical hotbox detector utilizes infrared sensors to detect heat profiles of the railcar wheel bearings as the railcars roll past the sensor. The same devices are also used to detect sticking brakes, brakes that are not properly engaging the wheel, wheels that are sliding, and other problem areas of the railcar/locomotive or vehicle.
A typical system consists of one or more detection units located trackside defining one or more detection sites, and a processing unit located in a nearby signal hut which collects the values measured by the detectors. Some detectors may communicate with the train/locomotive, others may transmit this data to the traffic control and monitoring section.
If a thermal exception is detected, the locomotive is notified via radio. For example, when a train passes a detection site, axles are logged and counted and a temperature is associated with each bearing. If a bearing temperature exceeds a predetermined value, the system sends a message to the train to stop immediately. The detectors may use other factors for alarms as well, in addition to or without threshold type alarms. For example, the alarm may be a differential type alarm, where the difference between the temperatures from side to side may identify the exception.
Some systems also transmit this data to traffic control and monitoring systems where the thermal information is processed and forwarded to customer's host systems for other purposes such as to develop trends.
There are several issues with current detection system. First, hotbox detectors have a very limited detection area (usually 1 or 2 single pixel thermal detection elements per area). Due to this very limited detection area, they must be specifically aligned to monitor the area of thermal interest. Second, many of such systems are not integrated with Automatic Equipment Identification (“AEI”) technology. AEI includes electronic recognition systems, such as those in use with the North American railroad industry which are currently based on RFID tag reading. Without such AEI technology, in order to locate the hot bearing, the train is stopped and the traincrew must walk the train and count (to the axle) the axle which the system indicated has the hot bearing on and then manually check it. The invention described herein solves these and other problems with past systems.
The following presents a simplified summary of the disclosure in order to provide a basic understanding of some aspects of the disclosure. This summary is not an extensive overview of the disclosure. It is not intended to identify critical elements of the disclosure or to delineate the scope of the disclosure. Its sole purpose is to present some concepts of the disclosure in a simplified form as a prelude to the more detailed description that is presented elsewhere.
An example of a high speed thermal imaging system includes a thermal imaging camera, the camera including a lens. The housing further includes a front portion and rear portion. The camera and lens are disposed in the housing. The housing further includes an opening on the front portion. The lens has a field of view through the opening. A rotating shutter disposed in the housing. The rotating shutter may be located between the opening and the optical path of the thermal sensor. The housing may be disposed near a rail track. The lens has a field of view for an object or objects of interest, such as a high speed passing train that includes bearings and brakes of railcar vehicles, (i.e. locomotives, railcars, etc.). The camera may be operable to capture thermal images of the passing rail vehicle wheels including the bearing and brake areas.
In another embodiment, a system for capturing data of a wheel passing at high speed includes a housing; a camera disposed within the housing, the camera comprising a lens; and a rotating shutter disposed within the housing in front of the lens. The housing is placed near the ground such that a field of view of the lens includes the vehicle wheel, and the camera captures a plurality of thermal images of the passing wheel.
In still another embodiment, a system for capturing data of a wheel passing at high speed includes a housing; a camera disposed within the housing, the camera comprising a lens; a rotating shutter disposed within the housing in front of the lens; and an audio sensor. The housing is placed near the ground such that a field of view of the lens includes the vehicle wheel, and the camera captures a plurality of thermal images of the passing wheel. Additionally, the audio sensor is placed near the housing for determining audio data of the passing wheel.
Illustrative embodiments of the present disclosure are described in detail below with reference to the attached drawing figures and wherein:
The present disclosure relates to a high speed thermal imaging subsystem used to acquire and analyze two dimensional images or an area scan type image of an object or objects of interest. The objects could include items such as rail vehicle wheels, bearings, brakes and truck assemblies of a moving train. As described herein, the thermal imaging system detects various heat-related failure exception conditions pertaining to these objects which may specifically have an impact on train safety and railcar wheel bearing integrity, among other thermal related conditions. Other thermal interest items, such as sliding wheels, sticking brakes, air hose leakage, and non-affecting brakes may additionally be monitored. The system includes utilizing stop action exposure camera technology to produce a thermal area scan image at high train speeds. A high pixel area scan image (for example, 384×240 pixels or greater) provides for viewing of a larger area, such as of the entire wheel. This is a substantial improvement over prior systems.
Various cameras may be utilized by the system. One type of commercially available camera that is available for high speed thermal imaging is a cooled thermal camera (CTC), which may be MWIR (midwave infrared). CTCs utilize specially designed thermal sensors that must be cooled to temperatures below −200 C to provide accurate and stable thermal readings. They also contain integral electronic shuttering capability as part of the thermal image sensor to allow the stop action shuttering of the thermal image. CTCs are used typically for R&D and science applications in a lab environment or for recording specific high speed thermal events that cannot be viewed by any other means. Although these cameras can support recording the railcar/locomotive wheels and the bearing area, they are expensive and are typically not suited for installation at an unattended trackside railroad environment.
Uncooled thermal cameras (UTCs) based on bolometers are also commercially available for use in other applications. For example, UTCs are used in many security applications to allow viewing in total darkness. UTCs are small, lightweight, and are well suited for unattended environments and applications in which the objects being viewed are moving slow. However, for high speed objects, like trains, these cameras as currently available would produce smear or motion blur. Smear or motion blur is the capture of apparent streaking in a still image or sequence of images. The streaking or smear is due to changes of the object being recorded in a single exposure. The object changes because of the rapid movement being captured in one frame.
The frame rates/integration times/exposure times for UTCs are typically around 8 to 16 milliseconds. When using these cameras to take pictures of moving objects, the integration time relates to lag or speed smear in the image. For example, a train moving at 60 MPH moves about 1 inch in 1 millisecond. If the integration time of the sensor is 16 milliseconds, there would be approximately 16 inches of smear. For a 60″ field of view this relates to about (16 inches/60 inches) of movement or about 27% smear in the image at 60 MPH. The resulting images are therefore unclear to a reader.
The invention described herein solves the speed smear problem. Specifically, in embodiments, the high sped imaging system utilizes a longwave infrared (LWIR) bolometer-based thermal camera. The thermal camera is integrated with a motor driven rotating mechanical shutter assembly as described herein. While LWIR thermal cameras are commercially available, such cameras have not previously been used for high speed thermal imaging as disclosed herein, including for capturing parts of high speed trains such as railcar wheels, bearings, brakes, and truck assemblies.
In an embodiment, shutter openings of a shutter assembly can be configured using a pair of adjustable blades for two openings. However, the shutter assembly may also be configured using a single shutter blade with one opening. The shutter configuration may depend on the image acquisition requirements and the stop action exposure required.
The shutter may spin at approximately 1800 RPM (revolutions per minute). A tach signal is detected when the blades are open and this signal may be used to reset the camera timing to take a picture and to provide an indication of the duration/exposure of the shutter for the picture. For a single shutter opening this signal may occur at (1800/60) or every 1/30 of a second or every 33 milliseconds per frame. Similarly, if a different frame rate is desired a dual opening shutter can be selected or the shutter can be set to spin at different rates. Since the camera frame rate is controlled by the shutter, the frame rate or picture rate is directly related to the speed of the rotating shutter.
For stop action performance, a shutter exposure of 2 milliseconds (ms) and a frame repetition rate of approximately of 30 milliseconds may be used. This relates to about 2 inches/60 inches of movement or about 3% smear in the image at 60 MPH.
In another embodiment, to obtain stop action performance, the shutter is locked to the camera timing. Here, additional electronics between the thermal imager and the shutter tightly controls the speed and phase of the rotating shutter with respect to the imager's internal frame rate.
When the scene exposure limited by the rotating shutter is less than the “thermal time constant” of the thermal imager, the thermal readings are corrected based on the reduced exposure. One potential implementation is to provide controlled thermal reference targets in the field of view of the thermal image during testing. This implementation may also be used during production. The temperatures of these references may be tightly controlled and monitored and used to reference what the thermal camera sees to these known temperatures. This approach may augment thermal accuracy and reduce complex calibration procedures.
The external heat sources for temperature references in the image may be high-wattage power resistors with thermistors attached to them for monitoring. The voltage applied to these resistors may be adjustable in software to maintain any temperature between 40° C. and 300° C. on a resistor by resistor basis.
The known temperature references may be electronically monitored and recorded. Further, these thermal temperature references may be used to help determine the actual temperatures of the item being imaged (such as the wheel bearing, brakes or other areas of wheel exhibiting excessive heat). An exemplary temperature range of consideration of items within the camera's field of view may be between 0° C. to 650° C. While 0 to 650 is sufficient and one target, a primary thermal interest of temperatures between 80° C. and 200° C. could also be desired.
The camera/shutter assembly 600 may be secured in a housing.
The camera/shutter assembly 600 is mounted inside the housing 400 such that the camera has a field of view outside of the housing 400.
When the housing 400, and therefore the camera/shutter assembly 600 is positioned near the rail (e.g., as shown in
As shown in
Other FOVs can be used to capture additional or differing aspects of the train. For example,
By capturing multiple images of the wheel rather than one single image, it may be possible to obtain additional information which may be helpful in detecting and/or confirming the presence of an issue with the wheel. Possible issues may include but are not limited to a sliding wheel or a sticking.
The thermal imaging device may be installed in many locations appropriate for the FOV desired or train area desired to be captured. For example, the imaging device may be installed at similar locations as prior hot bearing/wheel detection sensors. The imaging device may be installed at a railroad tie mount, in-between rails, in ground by the rail, or on the AEI antennas mast. Further, in some cases, like detecting a sliding wheel, it may be mounted the AEI masts about 8 feet away on either side of the rail. One or more imaging devices may be place at one or more of these locations depending on the needs of the system.
The thermal imaging system may also be integrated with Automatic Equipment Identification (AEI) technology. AEI technology often uses radio frequency identification (“RFID”) to identify rail vehicles in a passing train using trackside readers, although other AEI systems may be utilized whether now known or later developed. AEI reader systems will identify the standing order rail vehicles and their respective axles and provide this information to the railroad host computer system or to the track side thermal imaging system to associate a thermal event directly with a rail vehicle and/or a particular axle. This may allow an operator to more quickly identify the area of concern and take corrective action if necessary.
In embodiments, the thermal image captured by the imaging device may be combined with a color image of a wheel to obtain a fusion image, such as that shown in
In still another embodiment, additional sensors may be incorporated as part of the imaging system. For example, noise detectors may be distributed along the tracks, e.g., at a substantially similar location as the imaging device, although this location is not required. Brakes, when experiencing failure or some other issue, will often emit, in addition to an increased thermal profile, a particular noise, such as a squeal, thumping, or scratching. The noise emitted by the brakes can be captured by the noise detector and compared against the thermal image taken by the imaging device. The heat information can be correlated to the corresponding noise to provide an additional level of certainty in determining the type of failure condition that the wheel is experiencing.
Many different arrangements of the various components depicted, as well as components not shown, are possible without departing from the spirit and scope of the present disclosure. Embodiments of the present disclosure have been described with the intent to be illustrative rather than restrictive. Alternative embodiments will become apparent to those skilled in the art that do not depart from its scope. A skilled artisan may develop alternative means of implementing the aforementioned improvements without departing from the scope of the present disclosure.
It will be understood that certain features and subcombinations are of utility and may be employed without reference to other features and subcombinations and are contemplated within the scope of the claims. Not all steps listed in the various figures need be carried out in the specific order described.
This applications claims priority to U.S. Provisional Patent Application No. 62/551,706, filed Aug. 29, 2017, and U.S. Provisional Patent Application No. 62/673,452, filed May 18, 2018, the disclosures of which are incorporated herein by reference in their entireties.
Number | Date | Country | |
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62673452 | May 2018 | US | |
62551706 | Aug 2017 | US |