This disclosure relates to the field of railway track inspection and assessment systems. More particularly, this disclosure relates to a railway track inspection and assessment system and platform that is autonomous and includes various sensors oriented relative to a railway track for gathering data from the railway track.
Railway tracks must be periodically inspected to assess a condition of the railway track and various individual components of the track. Traditional methods and systems of assessing a railway track may require significant labor by on-track workers and require that sections of railway track be obstructed during assessment. Traditional methods of track inspection further enhance risk for on-track workers and may slow or prevent other traffic along a section of railway track during inspection, such as when a section of railway track is occupied by hi-rail based systems.
Further, current track assessment systems require significant resources to operate and to review data captured from assessment of a section of railway track. Existing systems may only be able to capture limited stretches of a railway track at a given time, further increasing costs and an amount of time required to assess sections of railway track. Existing systems may further suffer from drawbacks including obstructions to sensors by debris building up on optics of the sensors or by extreme conditions, such as extreme temperatures or temperature variations along a section of railway track.
What is needed, therefore, is a railway track inspection and assessment system and platform that is autonomous and that prevents obstruction of sensors, such as by debris on the railway track.
Embodiments herein include a railway track inspection and assessment system and platform that is autonomous and that prevents obstruction of sensors, such as by debris on the railway track. In a first aspect, an autonomous railway track assessment apparatus for gathering, storing, and processing profiles of one or both rails on a railway track includes: railway track assessment platform including a boxcar including an enclosed space formed therein; one or more power sources located on the boxcar; a controller in electrical communication with the one or power sources including at least one processor and a data storage device in communication with the processor; a first sensor assembly in electronic communication with the controller, the first sensor assembly including a first sensor enclosure, a light emitting device, and one or more first sensors oriented to capture data from the railway track; an air handling system located on the rail car, the air handling system including an air blower and a heater/chiller; and a set of air ducts in fluid communication with the air handling system and the first sensor assembly for supplying heated or cooled blown air from the air from the handling system to the first sensor assembly. Data from the railway track is autonomously collected by the first sensor assembly controlled by the controller and such data is stored on the data storage device.
In one embodiment, the autonomous railway track assessment apparatus further includes: a second sensor assembly in electronic communication with the controller, the second sensor assembly including a second sensor enclosure, a second light emitting device, and one or more second sensors oriented to capture data from the railway track; the set of air ducts in fluid communication with the air handling system, the first sensor assembly, and the second sensor assembly for supplying heated or cooled blown air from the air handling system to the first sensor assembly and the second sensor assembly. Data from the railway track is autonomously collected by both the first sensor assembly controlled by the controller and the second sensor assembly controlled by the controller and such data is stored on the data storage device.
In another embodiment, the first sensor assembly is oriented at a substantially perpendicular angle relative to the railway track. In yet another embodiment, the second sensor assembly is oriented at an oblique angle a relative to the undercarriage of the rail vehicle.
In one embodiment, the autonomous railway track assessment apparatus further includes a first LiDAR sensor configured to gather data of a rail corridor along a first scan plane and a second LiDAR sensor configured to gather data of a rail corridor along a second scan plane wherein the first LiDAR sensor and the second LiDAR sensor are in electrical communication with the controller and are physically connected to on an outer rear surface of the boxcar.
In another embodiment, the autonomous railway track assessment apparatus further includes a temperature controller in communication with the air handling system wherein the blower and heater/chiller are activated or deactivated by the temperature controller based on environmental conditions of the autonomous railway track assessment apparatus.
In yet another embodiment, the autonomous railway track assessment apparatus further includes one or more valves within ducts between the air handling system and each of the first sensor assembly and the second sensor assembly.
In a second aspect, an air handling system for an autonomous track assessment apparatus includes: a railroad data gathering assembly including a sensor and a light emitter inside a sensor enclosure wherein the railroad data gathering assembly is operable to gather data from a railroad track using the sensor and the light emitter; an air blower; a heater/chiller in fluid communication with the air blower; a temperature controller in electronic communication with the air blower and the heater/chiller; a temperature sensor in communication with the temperature controller. The temperature controller activates and deactivates the air blower and heater/chiller to provide conditioned air to the railroad data gathering assembly based on data received from the temperature sensor wherein the conditioned air is blown out of the sensor enclosure proximate to the sensor and the light emitter to divert debris or precipitation from the sensor and the light emitter.
In one embodiment, the air handling system for an autonomous track assessment apparatus further includes: at least one sensor assembly comprising a LiDAR sensor mounted on an outer surface of a rail car; the air handling system further including at least one duct formed through a side of the rail car for communicating air from the air blower and heater/chiller to the at least one sensor assembly.
In another embodiment, the LiDAR sensor further including a LiDAR sensor housing having a plurality of apertures formed therethrough for emitting air from the air handling system towards a sensor surface of the LiDAR sensor. In yet another embodiment, the plurality of apertures are arranged radially around the LiDAR sensor housing.
In one embodiment, the LiDAR sensor housing further includes at least one camera located on the LiDAR sensor housing, wherein air flowing through the LiDAR sensor housing towards the plurality of apertures passes proximate to a lens of the at least one camera.
In another embodiment, air from the air blower passes through a computer hardware rack prior to passing through the sensor enclosure.
In a third aspect, an air handling system for an autonomous track assessment apparatus includes: a railroad data gathering assembly including a LiDAR sensor mounted on a LiDAR sensor housing on a boxcar, the LiDAR sensor housing including a plurality of apertures formed therethrough proximate to sensors of the LiDAR sensor; an air blower; a heater/chiller in fluid communication with the air blower; a temperature controller in electronic communication with the air blower and the heater/chiller; a temperature sensor in communication with the temperature controller. The temperature controller activates and deactivates the air blower and heater/chiller to provide conditioned air to the railroad data gathering assembly based on data received from the temperature sensor wherein the conditioned air is blown out of the sensor enclosure proximate to the sensor and the light emitter to divert debris or precipitation from the sensor and the light emitter.
In one embodiment, air from the air blower passes through a computer hardware rack prior to passing through the sensor enclosure.
Further features, aspects, and advantages of the present disclosure will become better understood by reference to the following detailed description, appended claims, and accompanying figures, wherein elements are not to scale so as to more clearly show the details, wherein like reference numbers indicate like elements throughout the several views, and wherein:
Various terms used herein are intended to have particular meanings. Some of these terms are defined below for the purpose of clarity. The definitions given below are meant to cover all forms of the words being defined (e.g., singular, plural, present tense, past tense). If the definition of any term below diverges from the commonly understood and/or dictionary definition of such term, the definitions below control.
“Track”, “Railway track”, “track bed”, “rail assembly”, or “railway track bed” is defined herein to mean a section of railway including the rails, crossties (or “ties”), components holding the rails to the crossties, components holding the rails together, and ballast material.
A “processor” is defined herein to include a processing unit including, for example, one or more microprocessors, an application-specific instruction-set processor, a network processor, a vector processor, a scalar processor, or any combination thereof, or any other control logic apparatus now known or later developed that is capable of performing the tasks described herein, or any combination thereof.
The phrase “in communication with” means that two or more devices are in communication with one another physically (e.g., by wire) or indirectly (e.g., by wireless communication).
When referring to the mechanical joining together (directly or indirectly) of two or more objects, the term “adjacent” means proximate to or adjoining. For example, for the purposes of this disclosure, if a first object is said to be attached “adjacent to” a second object, the first object is either attached directly to the second object or the first object is attached indirectly (i.e., attached through one or more intermediary objects) to the second object.
Referring to
Embodiments of the autonomous track assessment platform 10 include a boxcar 14 on which a plurality of sensor systems are installed as discussed in greater detail below. The boxcar 14 includes an enclosed space 16 located within the boxcar 14 for housing various sensor components and hardware discussed in greater detail below. The boxcar 14 may have dimensions substantially similar to a common boxcar or a hi-roof boxcar typically used to carry freight or other items. The boxcar 14 is preferably suspended on bogies 18 including pairs of wheels 20 that allow the boxcar 14 to travel along the railway track 12. The boxcar 14 further preferably includes couplings 22 located at opposing ends of the rail car 14 such that the railcar 14 may be secured at either or both ends to a locomotive or other railcars of a train. The boxcar 14 may include ballast, such as a ballast concrete slab, to improve stability of the rail car 14.
Referring now to
In one embodiment, the autonomous track assessment platform 10 includes an onboard power supply for powering various sensors and hardware components of the autonomous track assessment platform 10. A power supply is preferably onboard the track assessment platform 10 such that the autonomous track assessment platform 10 may be operated independent of a train to which the boxcar 14 is connected. For example, an electrical generator 24 may be located on the boxcar along with a fuel source 26 for powering the electrical generator 24. Additional power supply components may be included such as one or more batteries 28. The one or more batteries 28 may be in electrical communication with the electrical generator 24. One or more solar panels 30 may be mounted on the rail car 14 and in electrical communication with the one or more batteries 28. A power controller 32 is in electrical communication with the electrical generator 24, one or more batteries 28, and the one or more solar panels 30 for managing generation, storage, and distribution of electricity to components of the autonomous track assessment platform 10.
The autonomous track assessment platform 10 preferably includes a plurality of sensors and sensor assemblies for gathering data from the railway track 12 for further assessment and determination of a condition of the railway track 12 and surrounding objects. Various sensor assemblies may be mounted below the boxcar 14 and oriented towards the railway track 12 such that the sensor assemblies capture data from the railway track 12. Sensors may further be mounted on other external surfaces of the boxcar 14 for capturing data from the railway track 12 and a rail corridor including objects located around the railway track.
In one embodiment, a first sensor assembly 34 is mounted on the boxcar 14 for assessing a condition of the railway track 12 on which the boxcar 14 is travelling. The first sensor assembly 34 preferably includes a 3D Track Assessment System or “3DTAS” available from Tetra Tech, Inc. and disclosed in U.S. Patent Application Publication Number 2016/0249040 for a “3D Track Assessment System and Method,” the contents of which are incorporated herein by reference in their entirety. The first sensor assembly 34 is directed straight down towards the railway track 12 and components thereof.
Referring to
For embodiments employing one or more light emitters 208, such light emitters 208 are used to project a light, preferably a laser line, onto a surface of an underlying rail assembly to use in association with three-dimensional sensors to three-dimensionally triangulate the rail assembly. In a preferred embodiment, a camera 224 in communication with the processor 202 via a camera interface 226 is oriented such that a field of view 228 of the camera 224 captures the rail assembly including the light projected from the light emitter 208. The camera 224 may include a combination of lenses and filters and using known techniques of three-dimensional triangulation a three-dimensional elevation map of an underlying railway track bed can be generated by the processor 202 after vectors of elevations are gathered by the camera 224 as the boxcar 14 moves along the rail. Elevation maps generated based on the gathered elevation and intensity data can be interrogated by the processor 202 or other processing device using machine vision algorithms. Suitable cameras and sensors may include commercially available three-dimensional sensors and cameras, such as three-dimensional cameras manufactured by SICK AG based in Waldkirch, Germany.
ToF sensors are preferably based on pulsed laser light or LiDAR technologies. Such technologies determine the distance between the sensor and a measured surface by calculating an amount of time required for a light pulse to propagate from an emitting device, reflect from a point on the surface to be measured, and return back to a detecting device. The ToF sensors may be a single-point measurement device or may be an array measurement device, commonly referred to as a ToF camera, such as those manufactured by Basler AG or pmdtechnologies AG.
Referring again to
In a preferred embodiment, the 3D track assessment system 500 includes a first sensor 502A, a first structured light generator 506A, a first heating and cooling device 522A (e.g., solid state or piezo electric), and a first thermal sensor 524A all substantially sealed in a first enclosure 526A forming part of a first sensor pod 528A; a second sensor 502B, a second structured light generator 506B, a second heating and cooling device 522B, and a second thermal sensor 524B all substantially sealed in a second enclosure 526B forming part of a second sensor pod 528B; a third sensor 502C, a third structured light generator 506C, a third heating and cooling device 522C, and a third thermal sensor 524C all substantially sealed in a third enclosure 526C forming part of a third sensor pod 528C; and a fourth sensor 502D, a fourth structured light generator 506D, a fourth heating and cooling device 522D, and a fourth thermal sensor 524D all substantially sealed in a fourth enclosure 526D forming part of a fourth sensor pod 528D.
The controller 514 further includes a 3D sensor controller 530 in communication with the 3D sensors 502, a sensor trigger controller 532 in communication with the 3D sensors 502, a structured light power controller 534 in communication with the structured light generators 506, and a temperature controller 536 in communication with the heating and cooling devices 522 and the thermal sensors 524. The system controller 514 further includes a network interface 538 in communication with the processor 508 and the 3D sensor controller 530, sensor trigger controller 532, structured light power controller 534, and the temperature controller 536. The triggering for the 3D sensors 502 is generated by converting pulses from an encoder 538 (e.g., a quadrature wheel encoder attached adjacent to a wheel 540 on the survey rail vehicle 504 wherein the encoder 538 is capable of generating 12,500 pulses per revolution, with a corresponding direction signal) using the dedicated sensor trigger controller 532, a component of the dedicated system controller 514, which allows converting the very high resolution wheel encoder pulses to a desired profile measurement interval programmatically. For example, the wheel 540 could produce encoder pulses every 0.25 mm of travel and the sensor trigger controller 532 would reduce the sensor trigger pulse to one every 1.5 mm and generate a signal corresponding to the forward survey direction, or a different signal for a reverse survey direction.
The configuration of the four 3D sensors 502 and light generators 506 ensure that the complete rail profile is captured by combining the trigger synchronized left and right 3D sensor profiles of both rails 520 on a railway track simultaneously to produce a single combined scan for each rail. These scans can be referenced to geo-spatial coordinates using the processor 508 by synchronizing the wheel encoder 538 pulses to GNSS receiver positions acquired from the GNSS satellite network (e.g., GPS). This combined rail profile and position reference information can then be saved in the data storage device 510.
The 3D sensors 502 and structured light generators 506 are housed in the substantially sealed watertight enclosures 526. Because of the heating and cooling devices 522, thermal sensors 524, and the dedicated temperature controller 536, the inside of the enclosures 526 can be heated when the ambient temperature is below a low temperature threshold and cooled when the ambient air temperature is above a high temperature threshold. The thermal sensors 524 provide feedback to the temperature controller 536 so that the temperature controller can activate the heating function or the cooling function of the heating and cooling devices on an as-needed basis. These sealed and climate-controlled enclosures 526 ensure the correct operation and extend the operational life of the sensitive sensors 502 and light generators 506 by maintaining a clean and dry environment within acceptable ambient temperature limits. The temperature control function is part of the system controller 514 with a dedicated heating and cooling device interface inside each enclosure.
Referring now to
The air blower 564 preferably includes a plurality of outlets 50 for connecting the plurality of ducts 566 to the air blower 564. For example, the air blower 564 may include a number of outlets 50 corresponding to a number of sensors on both the first sensor assembly 34 and the second sensor assembly 36 such that air from the air blower 564 is imparted proximate to sensors of the first sensor assembly 34 and the second sensor assembly 36. The air blower 564 preferably includes a blower motor 52 located within a blower housing 54. The blower motor 52 is in fluid communication with the plurality of outlets 50.
The air blower 564 further preferably includes a chiller/heater 58 (
As shown in
Referring again to
The autonomous track assessment system 10 further preferably includes one or more LiDAR sensors 66 located on an exterior of the rail car 14 for capturing data including a corridor through which the rail car 14 is travelling along the railway track 12. The one or more LiDAR sensors 66 are preferably mounted towards an upper portion of a rear side of the boxcar 14 and are preferably mounted in an enclosure 68. A plurality of digital cameras 70 are also located in the enclosure 68. The autonomous track assessment system 10 preferably includes at least two LiDAR sensors 66 mounted on opposing sides of ends of the rail car, as shown in
Embodiments further include controlling desirable environmental conditions within the enclosed space of the rail car 14. For example, when various components of controllers including processors and other hardware are located within the rail car 14, conditions such as temperature and humidity may be monitored and a desirable temperature may be maintained using the blower 76 and heater/chiller 78.
Although reference herein is made to the blower 564 shown mounted beneath the rail car 14 proximate to the first sensor assembly 34 and the second sensor assembly 36 and the blower 76 installed within the rail car 14, in one embodiment a single blower may be utilized for heating or cooling the first sensor assembly 34, the second sensor assembly 36, and the one or more LiDAR sensors 66.
The autonomous track assessment system 10 provides for autonomous collection of data from the railway track 12 and a surrounding environment on a platform that is readily compatible with existing railway vehicles. For example, the autonomous track assessment system 10 may be located along an existing train that is transporting freight or other goods without compromising operation of the train. The autonomous track assessment system 10 provides for autonomous collection of data 24 hours per day each day of the year using various sensor assemblies without requiring manual operation or control of the sensor assemblies. Embodiments of the autonomous track assessment system 10 described herein further preferably enable operation of the autonomous track assessment system 10 in harsh environments, such as in extreme cold or heat, without compromising an ability of sensor assemblies of the autonomous track assessment system 10 from capturing data during extreme weather conditions. For example, in extreme cold, it s not uncommon for ice to form on various sensor assemblies. Using the blowers described herein blowing warm air across the outer surfaces of the various sensor assemblies allows the system 10 to keep operating when other systems would be rendered ineffective because of ice build-up or, in the case of extreme hot weather, overheating.
The foregoing description of preferred embodiments of the present disclosure has been presented for purposes of illustration and description. The described preferred embodiments are not intended to be exhaustive or to limit the scope of the disclosure to the precise form(s) disclosed. Obvious modifications or variations are possible in light of the above teachings. The embodiments are chosen and described in an effort to provide the best illustrations of the principles of the disclosure and its practical application, and to thereby enable one of ordinary skill in the art to utilize the concepts revealed in the disclosure in various embodiments and with various modifications as are suited to the particular use contemplated. All such modifications and variations are within the scope of the disclosure as determined by the appended claims when interpreted in accordance with the breadth to which they are fairly, legally, and equitably entitled.
This application claims priority to U.S. Provisional Patent Application Ser. No. 62/848,630 for an “Autonomous Track Assessment System” filed on May 16, 2019, Provisional Patent Application Ser. No. 62/988,630 for an “Autonomous Track Assessment System” filed on Mar. 12, 2020, and Provisional Patent Application Ser. No. 62/016,661 for an “Autonomous Track Assessment System” filed on Apr. 28, 2020, and is a continuation-in-part and claims priority to U.S. application Ser. No. 16/255,928 for an “Apparatus and Method for Gathering Data From Sensors Oriented at an Oblique Angle Relative to a Railway Track” filed on Jan. 24, 2019, which is a continuation-in-part of and claims priority to U.S. application Ser. No. 16/127,956 entitled “APPARATUS AND METHOD FOR CALCULATING WOODEN CROSSTIE PLATE CUT MEASUREMENTS AND RAIL SEAT ABRASION MEASUREMENTS BASED ON RAIL HEAD HEIGHT” which was filed on Sep. 11, 2018, which claims priority to U.S. Provisional Patent Application Ser. No. 62/679,467 entitled “APPARATUS AND METHOD FOR CALCULATING WOODEN TIE PLATE CUT MEASUREMENTS AND RAIL SEAT ABRASION MEASUREMENTS” which was filed on Jun. 1, 2018, the entireties of which are incorporated herein by reference in their respective entireties.
Number | Date | Country | |
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62848630 | May 2019 | US | |
62988630 | Mar 2020 | US | |
63016661 | Apr 2020 | US | |
62679467 | Jun 2018 | US |
Number | Date | Country | |
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Parent | 16255928 | Jan 2019 | US |
Child | 16877106 | US | |
Parent | 16127956 | Sep 2018 | US |
Child | 16255928 | US |