EP3572296A1 - Surveillance automatisée de l'inventaire du réseau ferroviaire - Google Patents

Surveillance automatisée de l'inventaire du réseau ferroviaire Download PDF

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Publication number
EP3572296A1
EP3572296A1 EP19169703.6A EP19169703A EP3572296A1 EP 3572296 A1 EP3572296 A1 EP 3572296A1 EP 19169703 A EP19169703 A EP 19169703A EP 3572296 A1 EP3572296 A1 EP 3572296A1
Authority
EP
European Patent Office
Prior art keywords
inspection
inventory
unit
inventory object
automated
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP19169703.6A
Other languages
German (de)
English (en)
Inventor
Navid Nourani-Vatani
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens Mobility GmbH
Original Assignee
Siemens Mobility GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens Mobility GmbH filed Critical Siemens Mobility GmbH
Publication of EP3572296A1 publication Critical patent/EP3572296A1/fr
Withdrawn legal-status Critical Current

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00Control, warning or like safety means along the route or between vehicles or trains
    • B61L23/04Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L15/00Indicators provided on the vehicle or train for signalling purposes
    • B61L15/0072On-board train data handling
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L25/00Recording or indicating positions or identities of vehicles or trains or setting of track apparatus
    • B61L25/02Indicating or recording positions or identities of vehicles or trains
    • B61L25/025Absolute localisation, e.g. providing geodetic coordinates
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/50Trackside diagnosis or maintenance, e.g. software upgrades
    • B61L27/53Trackside diagnosis or maintenance, e.g. software upgrades for trackside elements or systems, e.g. trackside supervision of trackside control system conditions

Definitions

  • the invention relates to a method for automated inspection of railway network inventory. Furthermore, the invention relates to an inspection device. Moreover, the invention relates to a rail vehicle.
  • Rail network operators such as DB Netz AG, are in possession of a huge amount of inventory.
  • the inventory is spread over a large area, for example, over a whole country or even the whole world. If an object is placed in a position, such as a signal or a turnout indicator, it is registered in a database.
  • a position such as a signal or a turnout indicator
  • it is necessary a person visits the facility, locates and performs some visual checks. This approach requires a lot of human resources and is very costly. It is also necessary that the adjacent rail line be kept free for a maintenance vehicle, or there is a driveable path for road vehicles, which is rarely the case.
  • sensor data are first of all automatically detected by an environment of a railway network section.
  • an inventory object is automatically identified on the basis of the sensor data.
  • Such an inventory object comprises an object belonging to the stock of the rail network, such as a technical functional element, a structural element, an arrangement produced by structural measures or a plant located in the area or the immediate vicinity of a rail network.
  • an identification can be made by scanning the inventory object for specific identifiers or comparing the captured inventory object with a reference object.
  • the evaluation of the sensor data for identifying an inventory object may also be based on a model that is trained by a machine learning method. In the identification, for example, a classification process may be performed depending on detected features in the sensor data.
  • a position of the identified inventory object is determined automatically. Such position determination may be performed by any localization method, such as a satellite-based position determination method.
  • an automated inspection of the inventory object takes place. Such an inspection may include, for example, a sensorial scanning of the inventory object.
  • an inventory database is updated based on the inspection and the determined location of the identified inventory object.
  • Such an inspection can, for example, be used to determine the following information: It can be clarified whether the inspected inventory object is located at the position specified in the inventory register, also referred to as the inventory database. Furthermore, the question can be clarified as to whether the inventory object may be completely missing or whether the position in the inventory register is specified correctly. In addition, it can be checked whether the inventory object is intact and whether scratches on the surface or damage can be detected.
  • an inspection of railway network inventory is automated, so that no personnel expenses for the inspection must be driven.
  • the inspection can be carried out more quickly and without regard to the regeneration of otherwise required human resources. Breaks for tired personnel are not necessary, for example, so that an inspection can be carried out in a shorter time. Damage and damage caused by growing shrubs or trees can be detected sooner and eliminated faster.
  • an inventory of an inventory database can be automatically maintained, which can contribute to an effective and cost-effective rail network operation.
  • the inspection device has a sensor unit for the automated acquisition of sensor data from an environment of a rail network section.
  • the sensor unit can, for example, have an image recording unit, ie a camera, for recording image data.
  • Part of the inspection device according to the invention is also an identification unit for the automated identification of an inventory object on the basis of the sensor data.
  • the inspection device according to the invention also comprises a position determination unit for automatically determining the position of the identified inventory object.
  • the inspection device also has an inspection unit for automatically inspecting the inventory object.
  • Part of the inspection device is also an updating unit for updating an inventory database based on the inspection and the determined position of the identified inventory object.
  • the inspection device may for example be part of a commonly used railway vehicle equipped with the inspection device.
  • the Rail vehicle may also be specially designed for inspection of railway network inventory.
  • the inspection device according to the invention shares the advantages of the method according to the invention for the automated inspection of railway network inventory.
  • the rail vehicle according to the invention has the inspection device according to the invention.
  • the rail vehicle according to the invention shares the advantages of the inspection device according to the invention.
  • the rail vehicle according to the invention can advantageously comprise a standard rail vehicle, such as a passenger transport rail vehicle, which is equipped with the inspection device according to the invention. In this variant, the cost of producing and providing such a vehicle is particularly low.
  • the rail vehicle according to the invention may also comprise a rail vehicle specially designed for the stated purpose, which can perform an inspection method particularly effectively.
  • Parts of the inspection device according to the invention can, if appropriate, be supplemented by hardware elements, such as an image acquisition unit, for the most part in the form of software components.
  • this relates to parts of the identification unit, the position determination unit, the inspection unit and the update unit.
  • these components can also be partly realized, in particular in the case of particularly fast calculations, in the form of software-supported hardware, for example FPGAs or the like.
  • the required interfaces for example, if it is only about a transfer of data from other software components, be designed as software interfaces. However, they can also be configured as hardware-based interfaces, which are controlled by suitable software.
  • a partial software implementation has the advantage that even previously used in rail vehicles control units or computer systems can be retrofitted in a simple way by a software update to work on the inventive way.
  • the object is also achieved by a corresponding computer program product with a computer program, which is directly loadable into a memory device such a control unit or such a computer system, with program sections to perform all steps of the method for automated inspection of railway network inventory, when the computer program in the control unit or the computer system is executed.
  • Such a computer program product in addition to the computer program optionally additional components such.
  • additional components such as a documentation, and / or additional components, including hardware components, such.
  • B. hardware keys (dongles, etc.) for using the software include
  • a computer-readable medium for example a memory stick, a hard disk or another portable or permanently installed data carrier can be used, on which the computer program readable and executable program units of a computer unit are stored.
  • the computer unit can, for. B. for this purpose have one or more cooperating microprocessors or the like.
  • the detection of the sensor data is performed by at least one image camera.
  • identification of inventory objects can be made particularly effective by image analysis.
  • the image data can also be used to determine the position and to inspect the inventory object.
  • a laser scanner can be used to acquire the sensor data, with which a point cloud is detected by an object to be identified.
  • an identification of an inventory object can again take place with the aid of a model-based classification.
  • the model can be generated, for example, by means of a machine learning method.
  • the point cloud generated by the laser scanner must have a certain minimum density in order to obtain reliable and sufficiently detailed information.
  • a stereo camera can also be used.
  • the inventory object is inspected by at least one laser scanner.
  • a laser scanner With the help of a laser scanner, dimensions and surface structures of an inventory object can be recorded. These can be used for a particularly accurate inspection of the inventory object.
  • a stereo camera for acquiring spatial information from the inventory object.
  • An infrared camera can also be used for an inspection to check the temperature of the inventory object.
  • An electrical appliance that consumes energy is usually warmer than a switched off appliance. In this way, a function of an inventory object can be checked. Also a Overheating or local heat dissipation can be determined this way.
  • the position of the identified inventory object is determined by a position determination unit of an inspection vehicle.
  • the position determination unit first determines an absolute position of the inspection vehicle.
  • a position of the inventory object relative to the inspection vehicle is detected.
  • the absolute position of the inventory object then results from a combination, for example an addition of the determined absolute position of the inspection vehicle and the relative position of the inventory object with respect to the inspection vehicle.
  • position detection functions of the inspection vehicle such as e.g. a satellite navigation, used to position the inventory object.
  • a position of the inspection vehicle is combined with a relative position of the inventory object to the inspection vehicle to determine an absolute position of the inventory object.
  • the inventory object does not need to locate itself, allowing for simplified and more robust monitoring of the inventory.
  • the method according to the invention for the automated inspection of railway network inventory may also include steps in which skilled personnel are involved in the inspection. For example, it can be determined on the basis of the automatically determined inspection data that an inspection of an inventory object by skilled personnel is necessary. This may be the case, for example, if the automated system did not detect an inventory object at a point where, according to the information from the database, it would actually have to be an inventory object.
  • An additional inspection A person can also be automatically requested to automatically detect anomalies, such as a tear or other damage to an automated inspected inventory object.
  • FIG. 10 is a flowchart 100 illustrating a method of inspecting railway network inventory according to one embodiment of the invention.
  • image data BD from an environment of the rail vehicle are first recorded by a camera arranged on a rail vehicle.
  • the rail vehicle is used to inspect technical facilities of a railway line.
  • the image data BD are searched for inventory objects IO in step 1.II and inventory objects IO are identified if they can be recognized in the image data BD.
  • a position P of an identified inventory object IO is determined, wherein a current position P S of the rail vehicle is combined with a relative position P R of the identified inventory object IO to the rail vehicle.
  • the relative position P R of the identified inventory object IO to the rail vehicle can be determined on the basis of the image data BD, for example become.
  • the determined position P of the identified inventory object IO is stored in a database 25 (see FIG FIG. 2 ) stored.
  • step 1.IV an automated inspection of the identified inventory object IO is performed.
  • the object IO is scanned with the aid of a laser, the captured image data BD are analyzed, and a functional test of the inventory object IO takes place.
  • the inspection data ISD acquired during the inspection are finally stored in the database 25 in step 1.V.
  • FIG. 2 an inspection device 20 according to an embodiment of the invention is shown schematically.
  • the inspection device 20 has a camera 21, with which an environment of a rail vehicle, on the right side of the camera 21 is installed, is captured.
  • the inspection device 20 additionally has an identification unit 22, which is set up to identify an inventory object IO on the basis of the acquired image data BD.
  • the identification information IO and the image data BD are transmitted to a position determination unit 23, which is also part of the inspection device 20.
  • the position detection unit 23 receives a position P S of the inspection device 20 from a navigation unit 23a and determines a relative position P R of the identified inventory object IO to the inspection device 20 based on the image data BD. Furthermore, the position determination unit 23 combines the two position information P S , P R to an absolute position P of the identified inventory object IO.
  • the position information P is stored in a database 25 comprised by the inspection device 20 and transmitted together with the identification data IO and the image data BD to an inspection unit 24, which is also part of the inspection device 20 and is set up to perform an inspection of the identified inventory object IO perform.
  • the inspection unit 24 is connected to a laser scanning unit 24a, which is also part of the inspection apparatus 20, via a communication line, and drives the laser scanning unit 24a to obtain measurement data MD from the inventory object IO to be inspected.
  • the measurement data MD can, for example, contain information about the size, the nature of the surface and the position and functionality of individual functional elements of the inventory object IO.
  • Inspection data ISD can also be obtained from the acquired image data BD or generated based on a combined evaluation of these image data BD and the measurement data MD.
  • the acquired inspection data ISD which also includes the identification data IO, are finally transmitted to the database 25 of the inspection device 20.
  • the database 25 can also have a connection to a central database (not shown) in which all inventory objects IO of a rail network operator are stored and pass on the received inspection data ISD and the determined position information P to them. It is also possible to synchronize between the two databases. Alternatively, it is also possible to dispense with the local database and the inspection data ISD and the position data P to an identified inventory object IO are passed directly to a central database.
  • FIG. 3 is a situation 30 shown schematically in which a rail vehicle 31 according to an embodiment of the invention is traveling on a track S and using an inspection device 20 just identified an inventory object IO, in this case a signaling device, identified and inspected.
  • the inspection is related to FIG. 1 and FIG. 2 described way.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Length Measuring Devices By Optical Means (AREA)
EP19169703.6A 2018-05-09 2019-04-17 Surveillance automatisée de l'inventaire du réseau ferroviaire Withdrawn EP3572296A1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102018207203 2018-05-09

Publications (1)

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EP3572296A1 true EP3572296A1 (fr) 2019-11-27

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EP19169703.6A Withdrawn EP3572296A1 (fr) 2018-05-09 2019-04-17 Surveillance automatisée de l'inventaire du réseau ferroviaire

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102021213354A1 (de) 2021-11-26 2023-06-01 Gts Deutschland Gmbh Verfahren zum Betrieb eines Eisenbahnnetzes mit Überwachung von Infrastrukturkomponenten

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102011106345A1 (de) * 2011-06-08 2012-12-13 Deutsches Zentrum für Luft- und Raumfahrt e.V. Streckenvalidierung
DE102016201159A1 (de) * 2016-01-27 2017-07-27 Siemens Aktiengesellschaft Automatisierte Inspektion von Infrastrukturelementen
WO2017215777A2 (fr) * 2016-06-13 2017-12-21 Plasser & Theurer Export Von Bahnbaumaschinen Gesellschaft M.B.H. Procédé et système d'entretien d'une voie de communication pour véhicules ferroviaires

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102011106345A1 (de) * 2011-06-08 2012-12-13 Deutsches Zentrum für Luft- und Raumfahrt e.V. Streckenvalidierung
DE102016201159A1 (de) * 2016-01-27 2017-07-27 Siemens Aktiengesellschaft Automatisierte Inspektion von Infrastrukturelementen
WO2017215777A2 (fr) * 2016-06-13 2017-12-21 Plasser & Theurer Export Von Bahnbaumaschinen Gesellschaft M.B.H. Procédé et système d'entretien d'une voie de communication pour véhicules ferroviaires

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102021213354A1 (de) 2021-11-26 2023-06-01 Gts Deutschland Gmbh Verfahren zum Betrieb eines Eisenbahnnetzes mit Überwachung von Infrastrukturkomponenten
DE102021213354B4 (de) 2021-11-26 2023-07-13 Gts Deutschland Gmbh Verfahren zum Betrieb eines Eisenbahnnetzes mit Überwachung von Infrastrukturkomponenten

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