WO2023274811A1 - Procédé et ensemble de surveillance d'un contact rail-roue pour un véhicule ferroviaire - Google Patents
Procédé et ensemble de surveillance d'un contact rail-roue pour un véhicule ferroviaire Download PDFInfo
- Publication number
- WO2023274811A1 WO2023274811A1 PCT/EP2022/067031 EP2022067031W WO2023274811A1 WO 2023274811 A1 WO2023274811 A1 WO 2023274811A1 EP 2022067031 W EP2022067031 W EP 2022067031W WO 2023274811 A1 WO2023274811 A1 WO 2023274811A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- rail
- wheel
- damage
- images
- rail vehicle
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000012544 monitoring process Methods 0.000 title claims abstract description 11
- 238000012545 processing Methods 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 3
- 238000012732 spatial analysis Methods 0.000 claims description 2
- 238000011161 development Methods 0.000 description 18
- 230000018109 developmental process Effects 0.000 description 18
- 230000015572 biosynthetic process Effects 0.000 description 5
- 238000003672 processing method Methods 0.000 description 5
- 230000006866 deterioration Effects 0.000 description 3
- 238000010191 image analysis Methods 0.000 description 3
- 238000005461 lubrication Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 230000004913 activation Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000002845 discoloration Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000930 thermomechanical effect Effects 0.000 description 1
- 230000003313 weakening effect Effects 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or train for signalling purposes
- B61L15/0081—On-board diagnosis or maintenance
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
- B61L23/04—Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
- B61L23/041—Obstacle detection
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
- B61L23/04—Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
- B61L23/042—Track changes detection
- B61L23/045—Rail wear
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
- B61L23/04—Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
- B61L23/042—Track changes detection
- B61L23/047—Track or rail movements
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L2205/00—Communication or navigation systems for railway traffic
- B61L2205/04—Satellite based navigation systems, e.g. global positioning system [GPS]
Definitions
- the invention relates to a method and an arrangement for monitoring a wheel-rail contact in a rail vehicle.
- the wheel-rail contact thus directly determines the safe ferry operation of the rail vehicle.
- the present invention relates to a method and an arrangement for monitoring a wheel-rail contact in a rail vehicle.
- a high-resolution camera is arranged on the rail vehicle and is aimed at an area in which a wheel of the rail vehicle is in contact with a rail on which the rail vehicle is traveling.
- the camera produces high-resolution camera images that show both the wheel and the rail in this contact area.
- the images produced are compared with existing reference images or standard images that show the wheel and rail in an ideal or undamaged condition. With the help of the comparison, deviations between the currently produced images and the reference images are recognized. If the deviations exceed a predetermined extent or a predetermined threshold, the detected deviation is classified as damage to the wheel and/or rail.
- damage, unevenness, cracks (even at an early stage) or other changes to the wheel or rail are recognized or detected as damage.
- an associated warning message is generated for the rail vehicle driver and/or for a land-based control point.
- the images produced are digitized in order to carry out the comparison with the reference images, which are also available in digital form.
- the described digital configuration allows the use of digital image processing methods known per se when comparing the digital camera images and when identifying damage to be carried out, including classifying the damage.
- the camera images are transmitted as information to a vehicle controller of the rail vehicle. Based on the evaluation of the camera images or based on detected damage to the wheel or rail, a corresponding cause appropriate counter-reaction (as exemplified above).
- camera images are used as reference images for the wheel, which were produced prior to the rail vehicle possibly being first introduced or commissioned into rail traffic.
- the images are compared in real time, i.e. while the rail vehicle is in operation.
- the associated image is provided with position information in a preferred development. As a result, the detected damage can be clearly determined for repair purposes.
- the position information is made available with the aid of a GPS device.
- the associated image is provided with time information in a preferred development. This means that a damage development over time can be determined as part of a long-term documentation.
- the associated image is provided with further information - for example with information regarding the tonnage transported by the rail vehicle, regarding the weather conditions (rain, ice, snow, temperature, fog, etc.) , regarding the condition of the rails (new construction, old stock, partially repaired, etc.). This enables a subsequent analysis damage that has occurred depending on other factors.
- images of the wheel are processed with the aid of image processing.
- the image processing enables the automatic detection of changes and defects in the wheel tread.
- image sections of interest can be displayed changed as a "field of interest" through applied arithmetic operations and detected damage can be displayed, displayed and analyzed particularly clearly.
- the image processing or image analysis for damage detection is preferably carried out in an on-board computer of the rail vehicle or via a land-based control station.
- a CCD camera or CMOS camera is used as the camera.
- These types of construction are particularly suitable for reliably functioning at high accelerations occurring during operation of the rail vehicle.
- a 3D camera is used as the camera. This enables damage to be evaluated three-dimensionally when an image analysis is carried out - for example, the length and depth of cracks can be analyzed.
- the camera or its camera electronics converts consecutive images into a standardized, preferably digital, video signal that contains brightness information and color progression information as an analogue signal.
- Changes or damage can be detected particularly easily by scanning the video signal or the sequence of images line by line.
- methods of binary image processing, gray value image processing or color image processing are used for the image analysis of the camera images.
- the image processing emphasizes certain image features, e.g. the formation of cracks on the wheel arch surface: if, for example, an image is digitized so that it only has a few shades of gray, then crack formation or another change in the wheel arch surface can be detected very easily or be recognized.
- the present invention enables continuous monitoring of the wheel-rail contact, both during ferry operation and when the rail vehicle is stationary.
- the present invention simultaneously detects negative phenomena or deteriorations in the contact area between wheel and bills, referred to as the wheel contact point, and on the wheel running surface.
- the present invention enables rapid diagnosis of wear or of various forms of wear and changes to the wheel, in particular to its wheel tread, or to the rail, in particular to the rail head, etc.
- the present invention enables an enlarged representation of diagnosed damage on a screen for warning or analysis purposes and their documentation.
- the present invention detects any damage that occurs at an early stage. Measures or repairs that are initiated promptly can at least reduce the extent of further damage or the risk of accidents or avoid it entirely.
- the present invention avoids damage to the image of the operators, which would inevitably result from any accident.
- the present invention reduces maintenance work and maintenance intervals, resulting in cost savings for the operator.
- the present invention provides ongoing system improvement for operators. By monitoring the components, any weak points are identified at an early stage and targeted further development of the components is made possible.
- the present invention can be implemented easily and with little effort in new vehicles and can also be retrofitted with little effort in existing rail vehicles that are already in operational use.
- the present invention makes it possible to automatically report or document detected damage via a communication platform, such as Railigent, to a landside control point.
- a "landside" control point is a control point that is spatially separate from the rail vehicle and is generally stationary.
- the present invention makes it possible to detect the formation of ge dangerous cracks on the flange of the wheel disc early. These occur because wheel discs are subjected to high thermomechanical stresses by driving on a route. Such cracks are not uncommon and can even lead to wheel breakage in the presence of high, thermally induced residual stresses.
- the present invention makes it possible to detect wheel flange wear at an early stage, which occurs primarily in tight rail curves. As the wheel flange wears, it becomes thinner and steeper, reducing its strength.
- FIG. 3 a first damage detected by the method according to the invention
- FIG. 5 shows a flowchart for the method according to the invention.
- FIG. 1 shows components of the invention in a first view
- FIG. 2 shows an associated second view
- a camera KAM is attached to a rail vehicle, not shown in detail here, and is used to carry out optical monitoring of a contact area KTB.
- a wheel RD of the rail vehicle touches a rail SCH on which the rail vehicle is travelling.
- the camera KAM is used to produce high-resolution camera images that show both the wheel RD and the rail SCH in the contact area KTB.
- the camera KAM preferably records a distance DIS between a wheel running surface of the wheel RD and a rail head of the rail SCH.
- the images produced are compared with available, associated reference images.
- the reference images show the wheel and rail in an undamaged condition.
- deviations between the finished images and the associated reference images are automatically detected.
- a deviation is recognized and classified as damage to the wheel RD and/or to the rail SCH if the associated deviation exceeds a predetermined extent.
- FIG. 3 shows such a detected damage SDS, which here is surface damage (out-of-roundness or flattening) on the wheel running surface of the wheel RD.
- slip is understood to mean that the wheel RD or the braked wheel RD slips on the rail SCH without rotating braked wheel is blocked, damage occurs to the RD wheel or its wheel tread due to increased material removal.
- FIG. 4 shows further detected damage SDS, which here is crack formation RIB on the wheel RD.
- Damage of this type occurs, for example, as a result of material weakening or material defects or as a result of overstressing of the wheel RD when the rail vehicle is in operation.
- FIG. 5 describes the method according to the invention using a flowchart.
- a camera on the rail vehicle is used for optically monitoring a contact area in which a wheel of the rail vehicle touches a rail traveled by the rail vehicle in order to produce high-resolution camera images.
- these show both the wheel and the rail on which the wheel travels.
- a high-resolution 3D camera is used as the camera, the images of which enable a spatial analysis of damage.
- a second step S2 the images produced by the camera are compared with available, associated reference images.
- the reference images show the wheel and rail in undamaged condition.
- the images are compared in a timely manner, ie while the rail vehicle is in operation.
- the images produced by the camera are digitized and compared with the reference images, which are also available in digital form.
- the comparison itself is carried out with the aid of digital image processing methods which are known per se.
- a third step S3 deviations between the images produced and the associated reference images are automatically detected based on the comparison.
- Deviations are ascertained or detected with the aid of known digital image processing methods.
- a deviation is recognized and classified as damage to the wheel and/or the rail if the associated deviation exceeds a predetermined extent. For example, damage to the surface, unevenness, cracks and/or material discoloration are recognized as deviations and classified as damage depending on the extent.
- the extent is determined using known digital image processing methods and image evaluation algorithms.
- a deviation is also classified as damage using known digital image processing methods.
- a fifth step S5 when damage is detected on the wheel and/or on the rail, an associated warning message is generated, which is transmitted to a rail vehicle driver and/or to a land-based control point.
- This information is taken into account during operation of the rail vehicle by triggering a countermeasure - for example, emergency braking, emergency braking, activation of wheel flange lubrication or a sanding system, etc., are carried out as countermeasures.
- a countermeasure for example, emergency braking, emergency braking, activation of wheel flange lubrication or a sanding system, etc.
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
L'invention concerne un procédé et un ensemble de surveillance d'un contact rail-roue pour un véhicule ferroviaire. Sur le véhicule ferroviaire, une caméra pour surveiller optiquement une région de contact dans laquelle une roue du véhicule ferroviaire touche un rail sur lequel le véhicule ferroviaire se déplace est utilisée pour produire des images de caméra haute résolution qui montrent à la fois la roue et le rail dans la région de contact. Les images produites sont comparées à des images de référence associées disponibles qui montrent à la fois la roue et le rail dans un état non endommagé. Sur la base de la comparaison, des écarts entre les images produites et les images de référence associées sont détectés automatiquement. Un écart est identifié et classé comme étant un endommagement de la roue et/ou du rail si l'écart associé dépasse une quantité spécifiée.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102021206827.8 | 2021-06-30 | ||
DE102021206827.8A DE102021206827A1 (de) | 2021-06-30 | 2021-06-30 | Verfahren und Anordnung zur Überwachung eines Rad-Schiene-Kontakts bei einem Schienenfahrzeug |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2023274811A1 true WO2023274811A1 (fr) | 2023-01-05 |
Family
ID=82446468
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2022/067031 WO2023274811A1 (fr) | 2021-06-30 | 2022-06-22 | Procédé et ensemble de surveillance d'un contact rail-roue pour un véhicule ferroviaire |
Country Status (2)
Country | Link |
---|---|
DE (1) | DE102021206827A1 (fr) |
WO (1) | WO2023274811A1 (fr) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117649437A (zh) * | 2024-01-30 | 2024-03-05 | 中南大学 | 一种轨道车辆轮轨横向位移测量方法及测量装置 |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070217670A1 (en) * | 2006-03-02 | 2007-09-20 | Michael Bar-Am | On-train rail track monitoring system |
US20170066459A1 (en) * | 2015-09-03 | 2017-03-09 | Sameer Singh | Rail track asset survey system |
US20210114637A1 (en) * | 2018-11-15 | 2021-04-22 | Avante International Technology, Inc. | Image-based monitoring and detection of track/rail faults |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE10010019C1 (de) | 2000-03-02 | 2001-08-16 | Siemens Ag | Verfahren zur optoelektronischen Zustandsüberwachung rotierender Laufräder von Schienenfahrzeugen |
DE10256123B4 (de) | 2002-11-29 | 2005-06-02 | Bombardier Transportation Gmbh | Verfahren und Vorrichtung zur Ermittlung einer Zustandsgröße, insbesondere des Laufflächenprofils, einer Schiene |
US7463348B2 (en) | 2006-07-10 | 2008-12-09 | General Electric Company | Rail vehicle mounted rail measurement system |
US10362293B2 (en) | 2015-02-20 | 2019-07-23 | Tetra Tech, Inc. | 3D track assessment system and method |
DE202015005230U1 (de) | 2015-07-22 | 2015-08-24 | Siemens Aktiengesellschaft | Schienenfahrzeug |
DE102019212261A1 (de) | 2019-08-15 | 2021-02-18 | Siemens Mobility GmbH | Verfahren, Vorrichtung und Schienenfahrzeug |
-
2021
- 2021-06-30 DE DE102021206827.8A patent/DE102021206827A1/de not_active Withdrawn
-
2022
- 2022-06-22 WO PCT/EP2022/067031 patent/WO2023274811A1/fr active Application Filing
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070217670A1 (en) * | 2006-03-02 | 2007-09-20 | Michael Bar-Am | On-train rail track monitoring system |
US20170066459A1 (en) * | 2015-09-03 | 2017-03-09 | Sameer Singh | Rail track asset survey system |
US20210114637A1 (en) * | 2018-11-15 | 2021-04-22 | Avante International Technology, Inc. | Image-based monitoring and detection of track/rail faults |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117649437A (zh) * | 2024-01-30 | 2024-03-05 | 中南大学 | 一种轨道车辆轮轨横向位移测量方法及测量装置 |
CN117649437B (zh) * | 2024-01-30 | 2024-05-03 | 中南大学 | 一种轨道车辆轮轨横向位移测量方法及测量装置 |
Also Published As
Publication number | Publication date |
---|---|
DE102021206827A1 (de) | 2023-01-19 |
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