• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    The invention relates to a method for maintaining a travel path (3) for rail vehicles, wherein measurement data (40) are detected by means of a measuring system (2) for determining an actual state of the travel path (3). In this case, objects (5, 6, 7, 8, 9, 10, 11) of the travel path (3) are determined by means of an evaluation device (21) from the measured data (40), a detected object (5, 6, 7, 8, 9, 10, 11) is assigned to an object class and wherein for a determined object (5, 6, 7, 8, 9, 10, 11) at least one object class identifier linked to position data in a database (26) is stored. The actual state of the travel path (3) is thus stored in an object-based manner, wherein a comparison with a desired state or with historical actual states is used for the planning and implementation of maintenance measures.
    公开号:AT518692A1
    申请号:T287/2016
    申请日:2016-06-13
    公开日:2017-12-15
    发明作者:
    申请人:Plasser & Theurer Exp Von Bahnbaumaschinen G M B H；
    IPC主号:
    专利说明:

    description
    Method and system for maintaining a track for rail vehicles
    FIELD OF THE ART [01] The invention relates to a method for maintaining a track for rail vehicles, wherein measurement data are detected by a measuring system for determining an actual state of the track. In addition, the invention relates to a maintenance system for carrying out the method.
    PRIOR ART [02] In addition to tracks, points and intersections, a track for rail vehicles also includes overhead lines and points connection as well as other track-related devices. It consists of a track of rails mounted on thresholds and is usually stored in a ballast bed.
    [03] By use and weather conditions such a track is subject to ongoing wear, making regular maintenance work necessary. The basis for this is provided by actual data of the route, which are determined by means of various known measuring methods and measuring devices.
    [04] For example, US Pat. No. 4,986,189 A has a measuring beam mounted on a track processing machine, which comprises a plurality of sensors, the measurement data acquired thereby being jointly evaluated. A far-reaching measurement data acquisition for maintenance measures is also known from DE 198 01 311 A1. The storage of image data or numerical data is provided with respect to a distance position.
    [10] DE 10 2011 017 134 A discloses an arrangement for marking and measuring track sections for the purpose of maintenance. By means of a sensor unit measuring points located next to a rail are detected contactlessly to determine wear-prone track sections positionally accurate.
    Summary of the Invention [06] It is the object of the invention to provide an improvement over the prior art for a method and a maintenance system of the type mentioned in the introduction. In particular, a more efficient planning and implementation of maintenance measures should be achieved.
    [07] According to the invention this object is achieved by a method according to claim 1 and a maintenance system according to claim 11. Dependent claims indicate advantageous embodiments of the invention.
    In this case, by means of an evaluation device, objects of the travel path are determined from the measurement data, a determined object being assigned to an object class, and an object class identifier linked to position data being stored in a database for an assigned object.
    [09] Measured data acquired by means of known measuring methods are evaluated in a new way by identifying individual objects of the route and assigning them to predetermined object classes. Objects such as rail sections, sleepers, points, masts, etc. are identified by their characteristic measurement data. The storage takes place in the form of an assignment to the corresponding object class, a link being made with relative and / or absolute position data.
    [10] The actual state of the guideway is thus stored in an object-based manner, wherein a comparison with a desired state or with historical actual states for the planning and implementation of maintenance measures is used.
    [11] An advantageous object determination by means of an evaluation device provides that the measured data is calibrated with predetermined object parameters. Object parameters can be, for example, dimensional ranges of defined geometric shapes or detectable material properties. The assignment to the respective object class is then also based on these object parameters.
    It is advantageous if a unique object identifier is stored for the respective object in the database. A damage to be repaired is therefore particularly easy to assign by a defective object (for example, rail section with surface defect, threshold with positional error, etc.) is marked accordingly on the basis of the object identifier in the database.
    For accurate processing of linked position data, it is advantageous if location-related synchronization data are derived from the measurement data and if synchronization data associated with the respective object in the database is stored.
    Based on the synchronization data (for example gauge, threshold batch number, etc.), the individual objects can be found almost exactly by means of a track-bound maintenance machine. For this purpose, the maintenance machine must be equipped only with the sensors that were used during a previous determination of Fahrwegistzustandes.
    [15] A development of the invention provides that a multidimensional model of the travel path is calculated from the measured data and from characteristic data of the measuring system. Such a digital multi-dimensional model is either stored in the database or fed to a separate data management. It allows a particularly efficient planning and execution of maintenance measures (for example, virtual route inspection, calculation of material quantities, etc.).
    It is advantageous if the multi-dimensional model is supplemented with data of a virtual light space. In this way it can be calculated by means of a computer system whether actual position data of a respective object exceed a limitation of the light space. Every violation of the clear space is thus clearly measured and identified. If required, other recorded characteristics of the infrastructure such as threshold embossing, rail rolling signs, track distances, distances to neighboring tracks, contact wire positions, rail defects, etc. are also supplemented in the multi-dimensional model and thus clearly measured and identified.
    [17] Another useful extension is that the multidimensional model is supplemented with geo-referenced information data from a separate data source. This allows the multidimensional model to be easily enriched with geodetic data and satellite imagery.
    In a further development of the invention, control data for a workflow of a rail-bound construction and / or maintenance machine are derived from the data stored in the database. Thus, all the required specifications are provided in advance for a maintenance aggregate (e.g., tamping aggregate or lifting-straightening aggregate of a tamping machine). The construction and / or maintenance machine can thus be used for automated operation. Conveniently, correction data of the travel path are predefined on the basis of the data stored in the database from a central location (Off Track). In the construction and / or maintenance machine, the respective action and parameter data for the individual aggregates are calculated therefrom (On Track).
    [19] It is advantageous if a desired state of the travel path is specified, if deviations of the actual state from the nominal state are evaluated and if the control data are specified as a function of the evaluated deviations. A preparation for the automated operation of the construction and / or maintenance machine then includes the specification of correction data in order to convert objects of the travel path from a faulty actual state into the desired target state.
    [20] An additional improvement of the maintenance procedure provides that after a work process of the construction and / or maintenance machine, the actual state of the track is determined. This means that the quality achieved can be determined and documented immediately after carrying out a maintenance measure. It is also beneficial to log the complete machine conditions during a maintenance process. These data can subsequently be evaluated to determine their relevance in terms of quality or to establish relationships between aggregate actions or parameters and outcomes.
    [21] A maintenance system according to the invention for carrying out one of the aforementioned methods comprises a measuring system installed on a rail vehicle for measuring data acquisition. In this case, the evaluation device for determining objects of the travel path is set up from the measurement data and for assigning the respective object to an object class, wherein a data transmission system for transmitting the data associated with an object to the database is set up. The evaluation device is conveniently designed as a computer, with access to the database set up in a server or with an integrated database. In the latter case, the computer comprises a data transmission system designed as a bus system.
    [22] In a development, it is provided that the evaluation device is set up to calculate a multi-dimensional model of the travel path from the measurement data and from feature data of the measurement system. For this purpose, coordinates of the guideway surface which can be derived from the measured data are transformed into a predetermined three-dimensional reference system. Additional dimensions such as time, temperature or individual material properties can be added to the spatial dimensions.
    For efficient operation of the maintenance system, it is advantageous if the maintenance system includes an output device for perspective representation of the multi-dimensional model. Such output devices enable, for example, a virtual route inspection and an intuitive definition of correction data. Individual object classes, material properties or detected errors can be color-coded.
    [24] To generate detailed object data, the measurement system is intended to include a laser rotation scanner, a laser line scanner, an eddy current scanner, an inertial measurement unit, a camera and a GNSS receiver. By data fusion of the measured data recorded by means of these sensors, a model of the infrastructure with high information density can be created.
    [25] A further aspect of the invention relates to a further processing of the data stored in the database, in that the maintenance system comprises a rail-bound construction and / or maintenance machine which is set up for processing control data derived from data stored in the database.
    Brief Description of the Drawings [26] The invention will now be described by way of example with reference to the accompanying drawings. In a schematic representation:
    Fig. 1 sub-components of the maintenance system
    Fig. 2 expiration of the maintenance process
    Fig. 3 data processing of the measuring system
    Fig. 4 Analysis of the measured data
    Fig. 5 Structure of an analysis software
    Fig. 6 Structure of a machine control software
    Fig. 7 structure of a track construction software
    Fig. 8 workflow of a construction and / or maintenance machine
    DESCRIPTION OF THE EMBODIMENTS [27] The maintenance system 1 in FIG. 1 comprises a measuring system 2 for measuring the travel path 3. Conveniently, this measuring system 2 is arranged on a rail-bound construction and / or maintenance machine 4. Alternatively, the measuring system 2 may also be mounted on another carrier platform, for example on a measuring carriage.
    The track 3 includes various objects such as ballast 5, rails or rail sections 6, sleepers 7, fasteners 8, masts 9, wires or trolley sections 10 and as obstacles 11 for working units 12 to be considered facilities. Furthermore, objects not shown, such as platforms, switch elements, vegetation, noise barriers, railings, traffic signs, signal systems, positioning mechanisms or forced structures such as bridges or railroad crossings are attributable to the infrastructure 3 or the extended infrastructure 3.
    [29] The measuring system 2 comprises a plurality of sensors which may be mounted at different positions. For example, a laser rotation scanner 13 is arranged on the front side of the construction and / or maintenance machine 4. The laser rotation scanner 13 provides two-dimensional images of the travel path 3 at the current position. This image data is processed together with position data obtained by means of GNSS or odometer. Several two-dimensional images one behind the other result in a three-dimensional point cloud. This point cloud is filtered and processed to remove outliers and erroneous measurement points and to achieve better visual representability.
    [30] At least over each rail 6, a laser line scanner 14 is arranged to detect the exact shape of the respective rail surface. Thus, other features such as rolling marks, threshold embossing, fasteners, etc. are recorded. In addition, a plurality of eddy current scanners 15 are arranged to detect the position of metallic objects such as fastening means 8.
    [31] By means of an inertial measurement unit 16, changes in position during a forward movement are detected and in this way the exact relative track position is detected. An absolute reference is made by means of a GNSS receiver 17. This method becomes more precise by the inclusion of GNSS reference stations, which are arranged, for example, on fixed structures such as bridges.
    An even more accurate absolute position determination is carried out by means arranged in the track 3 mast bolt 18, the positions of which are detected in relation to the track, for example by means of a stereo camera 19. A related method is disclosed in Austrian Patent Application A199 / 2016 filed by the same Applicant.
    In addition, at least one camera 20 is provided to detect color data, which are assigned in the course of the data processing to the individual points of the point cloud detected by means of laser rotation scanner 13. This is conveniently a high-resolution camera so that each point of the point cloud can be assigned its own color pixel. With several cameras 20 correspondingly more color information can be collected and assigned to the point cloud.
    The measured data 40 acquired by means of the individual sensors or receiving devices 13, 14, 15, 16, 17, 19, 20 are fed to a common evaluation device 21. The data processed by the evaluation device 21 are fed to a control device 22 of the construction and / or maintenance machine 4.
    As shown in FIG. 2, the measurement 23 of the travel path 3 is at the beginning of the maintenance process. In the evaluation device 21, an analysis step 24 takes place. In this case, the objects 40, 5, 6, 7, 8, 9, 10, 11 of the route 3 determined. In further sequences, determined objects 5, 6, 7, 8, 9, 10, 11 are each assigned to an object class and linked to position data, each object class being defined by a unique object class identifier. In addition, a multi-dimensional model 79 of the travel path 3 is calculated from the measured data 40 and from feature data 80, 81 of the measuring system 2.
    [36] The linked object data 25 are transmitted to a database 26. There, the data management and data backup occurs 27. The data of the multi-dimensional model 79 are also transmitted to the database 26 and managed there or fed to a separate data management. In the latter case, superordinate data management including all data makes sense.
    Conveniently, the data management is set up in a central server or server network, with a secure connection to the Internet. In this way, it is possible to retrieve stored measurement and analysis data 101, 105 worldwide. The collected data form the basis for a trackwork planning 28, which is done by means of a computer 29. For this purpose, the computer 29 accesses the database 26 or a superordinate data management level and retrieves the distance-related object and model data 30 required for the respective planning.
    Based on an automated comparison with predetermined desired state data of the selected route resulting work order data 31. These are transmitted to the construction and / or maintenance machine 4 and are available as a default for the control process 32 of the machine 4.
    [39] In order to document the work results, a subsequent measurement and logging 33 are carried out in a next process step. In this case, measurement data 40 are again acquired by means of the measuring system 2 and further processed to updated state data 34 of the travel path 3. These data are also stored in the database 26.
    In addition, a transfer of the measurement data 40 into an electronic data recorder (Data Recording Processor, DRP) for the generation of acceptance prototypes takes place.
    [41] To transmit the data 25, 30, 31, 34, the maintenance system 1 comprises a data transmission system 35, which is designed, for example, as a secure radio network. At the construction and / or maintenance machine 4, a corresponding antenna 36 is arranged. In the simplest case, the data to be transmitted is collected and transferred to a central data management system. The data transmission system 35 then comprises exchangeable storage media and corresponding read / write devices.
    [42] The data transmission system 35 is connected to a computer network 37 comprising a database server with database 26 implemented. Thus, a central administration of the data takes place, the computer 29 accessing the database 26 or the superordinate data management level for carrying out the track work planning 28. The work order data 31 generated by means of computer 29 are likewise transmitted to the construction and / or maintenance machine 4 via the computer network 37 and the data transmission system 35.
    [43] The computer 29 and the evaluation device 21 are elements of a secure computer system 38 and are connected to the computer network 37. It is also possible to provide a plurality of computers 29 which each access the database 26 or the superordinate data management level and are set up for track work scheduling 28. If required, the computer network 37 also has access to external data sources 39.
    If the construction and / or maintenance machine 4 is provided exclusively for an island trunk network, it may be useful to integrate all the components of the maintenance system in the construction and / or maintenance machine 4. The data transmission system 35 is then as a wired network within the Machine 4 is formed. In this embodiment, the evaluation device 21 and the database 26 can be integrated in a high-performance on-board computer.
    [45] The mode of operation of the measuring system 2 will be explained with reference to FIG. It is a fully automatic, computer-aided measuring system 2, which measures measures and parameters for the track planning 28 in the required accuracy and quality.
    Surveying 23 results in synchronized measurement data 40 of the travel path 3. Specifically, the individual sensors or receiving devices 13, 14, 15, 16, 17, 19, 20 deliver respective data which are matched to one another by means of a respective synchronization feature 41. These measurement data 40 are thus raw data 42 or results 43 of an internal sensor evaluation.
    [47] Subsequently, a computer-aided model 79 of the travel path 3 is calculated from these measured data 40 by data fusion. In a simple embodiment, the model 79 depicts the geometric conditions of the travel path 3, because they vary widely and therefore particularly require an operator of a construction and / or maintenance machine 4. Based on the geometric model 79, a largely automated workflow is made possible.
    [48] For maintenance planning, further status data of the guideway 3 is also useful. For example, with non-geometric sensors such as georadar, temperature sensors, humidity sensors, etc., non-geometric aspects of the travel path 3 can also be detected and integrated into the model 79.
    [49] The type of sensors or receiving devices 13, 14, 15, 16, 17, 19, 20 used are adapted to the respective requirements and adapted to the conditions necessary for the working process. With the availability of novel sensors, these can be easily included in the group of supported sensors. Thus, the added measurement data 40 can be integrated into the model 79 and are available for further work processes.
    [50] Work processes that can be carried out by means of the maintenance system 1 are, for example, track alignment, track plug, track position measurement, quality assurance, contact wire measurement,
    Contact wire wear measurement, rail profile measurement, detection of missing fixings, gravel profile measurement, acceptance checks, preparation of acceptance reports, recording of track quality, recording of damage, inventory, recording of excess clearance, etc.
    The individual actual sensors or receiving devices 13, 14, 15, 16, 17, 19, 20 concretely evaluate the following actual states of the travel path 3: The GNSS receiver 17, the inertial measuring unit 16 and the stereo camera 19 serve to detect the geodesic track position. A redundant design of these components can increase the availability and accuracy of the measured coordinates.
    The laser rotation scanner 13 serves to detect the rails or rail sections 6, the sleepers 7, the contact wire or the contact wire sections 10, the masts 9 and of tunnel walls, buildings, vegetation, signage, hangers, labels and all other im Detection area of the scanner 13 located objects.
    [53] In the contact wire measurement, the contact wire 10 is detected and stored within a relevant range. Specifically, the relative distance to the track axis is determined. The track axis is calculated on the basis of the detected rails 6.
    [54] The above-the-line laser line scanners 14 are used to capture details of the track-near area, track axis, track axis, rail profile, etc. Because this type of sensor provides high quality data, laser line scanners 14 also provide accurate detection used by bumpers, threshold fasteners, Radlenker, contact wires and any other objects.
    In the evaluation device 21, the measurement data 40 acquired by means of the measurement system 2 are automatically analyzed, as will be explained in more detail with reference to FIG. 4. Specifically, in the evaluation device 21, a software runs, which is subdivided into a plurality of analysis blocks 44, 45, 46, 47, 48, 49, 50, 51. The processing takes place sequentially or in parallel, depending on the structure and performance of the hardware and software components.
    [56] In a first analysis block 44, an image analysis is carried out by means of a pattern recognition software and an OCR software, wherein hectometer panels 52 and signal panels 53 are detected as objects. Cached image data of the front-facing camera 20 are evaluated in a memory unit of the evaluation device 21.
    [57] A second analysis block 45 also works with a pattern recognition software and an evaluation software for determining parallax in double images, which are recorded by means of the stereo camera 19. This mast bolts 18 mounted on masts 9 and other fixed points 54 and geo-coordinates 55 are detected.
    [58] A third analysis block 46 operates with received GNSS data analysis software and provides geodetic attitude coordinates 56 relative to the position of the GNSS receiver 17. By means of computer-aided coordinate transformation, these attitude coordinates 56 are transformed to a given reference coordinate system.
    [59] A fourth analysis block 47 evaluates the measured data 40 acquired by means of an odometer, resulting in instantaneous position data 57 of a given machine reference point. Again, there is a coordinate transformation to the reference coordinate system.
    In a fifth analysis block 48, the evaluation of the inertial measurement unit 16 takes place. This detects relative path coordinates of a reference point during a forward travel, whereby the distances of this reference point to the two rails 6 are continuously measured by distance measuring devices (for example laser sensors). Usually, a line of intersection between the respective inside of the rail and an imaginary horizontal plane 14 mm below the respective top edge of the rail is used as a rail-related measuring line. The evaluation by means of the fifth analysis block 48 thus yields data for the track course 56, as well as a track cantilever 57, a direction 58, longitudinal heights 59 and arrow heights 60.
    [61] A sixth analysis block 49 evaluates the data of the respective eddy current scanner 15 and provides position data on metallic elements such as fastening means 8 (threshold fastening), cable 61 or switch linkage 62.
    [62] A seventh analysis block 50 uses 3D data analysis. In this case, a multi-dimensional model 79 of the travel path 3 is calculated from the measured data 40. This is done by means of a software for sensor data fusion, as shown in Fig. 5. The result of the data analysis are also recognized objects that can be assigned to given object classes.
    [63] In addition to the detected objects such as rails 6, ballast 5, obstacles 11, trolley 10, platform edge 63, masts 9, attachments 64, sleepers 7 or predicaments 65 (bridges, railroad crossings) also clearance trauma 66, the track spacing 67 and the gravel profile 68 detected.
    [64] In an eighth analysis block 51, an image analysis is carried out by means of a pattern recognition software and possibly an OCR software, wherein the measurement data 40 of the downwardly directed laser line scanners 14 are evaluated. Specifically, this is done using 2.5D analysis or 3D analysis. Thus recognized are a track 69, rail error 70, rail roller mark 71, mounting error 72, threshold sign 73, rail profiles 74, individual stones 75 on sleepers 7, wear 76 and butt plates 77th
    With the given analysis blocks 44, 45, 46, 47, 48, 49, 50, 51 an automatic, computer-aided analysis of the acquired measurement data 40 is thus carried out with the aim of classifying the parameters and variables relevant for a respective work process. The classification results in clearly defined objects with attached measured values and data for storage in the database 26. Subsequently, these data can be used in CAD models and other operational, technical and other software systems.
    [66] By transferring the data to a central store, work processes are also supported which do not take place directly on the route 3 (site planning, resource procurement, equipment replacement,
    Quality assurance etc.). A representation in virtual reality devices for virtual inspection and presentation of the route 3 is thus feasible.
    [67] Furthermore, if necessary, a classification according to non-geometric criteria (temperature, density of materials, etc.) is carried out in order to carry out a corresponding assessment and thus to optimize work processes. For example, in a track tamping operation, a higher quality of the track position can be achieved if previously the density of the ballast bed is known.
    For the automated track plug or the so-called dynamic track stabilization, the pre-detection of obstacles 11 and the exact measurement of the thresholds 7 are of great importance. The described survey 23 with subsequent analysis 24 provides all data in advance to prevent damage during a Gleisstopfvorgangs by the various working units 12. Either a warning system for the operating personnel or a fully automatic slip plugging is realized.
    [69] The structure of the analysis software 78 for calculating the virtual multi-dimensional model 79 and of the object data 25 is shown in FIG. 5. Input data are the measurement data 40 and feature data 80, 81, which relate to features of the measurement system 2. On the one hand, this may be feature data 80 of the construction and / or maintenance machine 4 and, on the other hand, feature data 81 of the sensors or receiving devices 13, 14, 15, 16, 17, 19, 20.
    [70] In a first step, the input data 40, 80, 81 are prepared for analysis by means of a plurality of preprocessing modules 82. Coordinate transformations, for example, take place in order to match all the data to a common reference system.
    [71] First objects are detected from the processed data by means of a first analysis module 83. For example, these are approximately point-like objects such as fastening means 8, which can be clearly classified by the response of the eddy current scanner 15 moved over it. The corresponding object data 25 are, on the one hand, output and, on the other hand, transferred to a first data fusion module 84.
    [72] By means of the first data fusion module 84, the preprocessed input data 40, 80, 81 are linked to the object data 25 of the detected objects. The result is a two-dimensional database for a second analysis module 85. This identifies all objects that can be uniquely assigned to a reference object class on the basis of a two-dimensional extent. These object data 25 obtained as analysis results are in turn output and transferred to a second data fusion module 86.
    [73] The pre-processed input data 40, 80, 81 are also supplied to this second data fusion module 86, resulting in a three-dimensional database for a third analysis module 87. An analysis of the three-dimensional structures provides further detected objects whose object data 25 are stored.
    [74] By means of further data fusion modules 88 further dimensions can be added to the database. These may include acquisition time or specific material properties (e.g., density, temperature). By means of further analysis modules 89, the database can be evaluated with regard to these additional dimensions.
    [75] After the last data fusion, there is a virtual n-dimensional model 79 of the guideway 3, where n-1 indicates the number of data fusion processes. This multi-dimensional model 79 is stored in the database 26 or separately and is available for the planning and execution of maintenance measures. The same applies to the object data 25 of the individual recognized objects which are stored in the database 26.
    [76] Another advantageous aspect of the invention relates to the control of the construction and / or maintenance machine 4. This will be explained with reference to FIG. 6. In the controller 22, a machine control software 90 is implemented. These are supplied as input data, the object data 25 and the multi-dimensional model 79 and the relevant for a particular workflow data of this model 79. In addition, a currently detected machine position 91 and relevant machine features 92 constitute input data of the machine control software 90.
    [77] The acquisition of the current machine position 91 is conveniently carried out by means of the measuring system 2, which was already used in advance for detecting the route 3. For example, significant machine dimensions, in particular distance dimensions between elements of the measuring system 2 and various working units 12, apply as relevant machine features 92.
    [78] Depending on which construction and / or maintenance machine 4 is involved, different working units 12 are used. Affected machine types are e.g. a rebuild train, a sweeper, a ballast plow, a measuring car, a line tamping machine or a point tamping machine.
    [79] For a point tamping machine several working units 12 are to be controlled. A lifting and straightening unit includes roll tongs and hooks, which can be controlled individually. The respective rolling pliers is guided along a rail 6 and must be opened at obstacles 11. In tight spaces, the respective hook is used. Since each obstacle 11 is detected as an object by means of the described analysis method and its position in the track of the control device 22 is supplied, an automated use of the lifting and straightening unit is possible.
    [80] The same applies to the tamping units. Each tamping unit is positioned correctly above the respective sleeper compartment above the track. Rotated sleepers rotate the tamping units. In addition, the angles of attack of stuffed pigs are adjusted depending on the free space in the threshold compartment. Individual stuffing pimples can be deactivated by swiveling up.
    [81] Using the multi-dimensional model 79, each parameter (angle of rotation, position of the parts, inclination of the tamping knobs, etc.) of the respective working unit 12 is calculated in advance and displayed to an operating personnel as a work suggestion. This display is computer-aided in a realistic manner. Can be used Augmented Reality and
    Virtual Reality devices (such as Oculus Rift, Microsoft Hololens, HTC vive etc.) to ensure a high degree of user-friendliness and ergonomic workspace.
    [82] Specifically, an aggregate action is calculated on the basis of the supplied data 25, 79, 81, 91 for each actuated working unit 12 by means of a respective action module 93. Results of these calculations are, for example, a rail hardness for a lifting and straightening unit and position values for a tamping unit.
    [83] This action data is fed to a voting module 94 to synchronize the individual aggregate actions and to generate control orders. These control orders are processed in a subsequent transfer module 95 for a programmable logic controller (PLC) of the construction and / or maintenance machine 4 and passed to this.
    [84] Parallel to this, different setting parameters are calculated for the individual working units 12 by means of parameter modules 96, for example the duration of a tamping unit. In a subsequent transfer module 97, parameter data processing and transfer to the PLC of the construction and / or maintenance machine 4 takes place.
    [85] The prepared action and parameter data are control data by means of which the construction and / or maintenance machine 4 carries out an automated movement sequence 98 of the controlled working units 12, wherein a regulation 99 of the predetermined parameters takes place.
    [86] In a simple form purely geometrical frameworks are recorded and analyzed in order to automate the adaptation of the construction and / or maintenance machine 4 and their working units 12 to structural conditions. A further method provides that non-geometric data also flows into the control specifications, e.g. the density of the substrate or its moisture content. By means of such parameters, the additional duration of a tamping unit or the driving speed can be optimized.
    [87] In an advanced version of the invention, a fully integrated track construction software 100 is used (FIG. 7). Individual modules of this software 100 may be implemented on different computers of the computer system 38. Input data form relevant measurement and analysis data 101 stored in the database 26 or managed by the superordinate data management level, as well as data from external data sources 39. The relevant measurement and analysis data 101 are composed, for example, of selected object data 25, 30 and data of the model 79.
    [88] Track building software 100 is intended to carry out several process steps. First, a data fusion 102 with a subsequent data representation 103 takes place. This data representation 103 is advantageously carried out by means of a virtual reality output device.
    In parallel executable method steps, for example, an integrated route planning 104, an integrated order creation 105, an integrated order 106 of objects to be exchanged of the infrastructure 3, a data transfer 107 to an administration software (Enterprise Resource Planning, ERP), an integrated measurement process planning 108 done and integrated maintenance and rebuild planning 109.
    [90] The results of these method steps are used for automated order generation 110 to provide work order data 31 for the construction and / or maintenance machine 4. These work order data 31 are transmitted via the data transmission system 35 directly to the construction and / or maintenance machine 4 and / or stored in the database 26.
    [91] An operation of the construction and / or maintenance machine 4 by means of machine control software 90 is shown in FIG. Input data form the stored relevant measurement and analysis data 101 and respective work order data 31. From this, the machine control software 90 calculates all the required action data and parameter data for carrying out a fully automatic control process 111 of the construction and / or maintenance machine 4.
    Subsequently, a fully automatic post-measurement process 112 takes place using the measuring system 2. Parallel to this runs in the
    Control device 22 a logging process 113 for complete logging of all aggregate actions.
    [93] As a result of these operations 111, 112, 113, a work log 114 and updated measurement and analysis data 115 are output. These are stored in the database 26 and are available for further maintenance.
    Thus, measurement orders and maintenance orders are carried out by fully automatic construction and / or maintenance machines 4 after allocation and stored a log of completion and recorded before and after a processing measurement data centrally. For jobs that can not be done with automated machines, after completion, a separate automated test drive with storage of the measurement data 40 in the database 26.
    权利要求:
    Claims (15)
    [1]
    claims
    1. A method for maintaining a travel path (3) for rail vehicles, wherein for determining an actual state of the travel path (3) by means of a measuring system (2) measurement data (40) are detected, characterized in that by means of an evaluation device (21) from the measured data ( 40) objects (5, 6, 7, 8, 9, 10, 11) of the travel path (3) are determined, that a determined object (5, 6, 7, 8, 9, 10, 11) is assigned to an object class and an object class identifier linked to position data in a database (26) is stored for an assigned object (5, 6, 7, 8, 9, 10, 11).
    [2]
    2. The method according to claim 1, characterized in that the determination of the objects (5, 6, 7, 8, 9, 10, 11) by an adjustment of the measurement data (40) with predetermined object parameters is performed.
    [3]
    3. The method of claim 1 or 2, characterized in that for the respective object (5, 6, 7, 8, 9, 10, 11) in the database (26) a unique object identifier is stored.
    [4]
    4. The method according to any one of claims 1 to 3, characterized in that from the measured data (40) location-related synchronization data are derived and that for the respective object (5, 6, 7, 8, 9, 10, 11) in the database ( 26) associated synchronization data are stored.
    [5]
    5. The method according to any one of claims 1 to 4, characterized in that from the measured data (40) and from feature data of the measuring system (2) a multi-dimensional model (79) of the travel path (3) is calculated.
    [6]
    6. The method according to claim 5, characterized in that the multidimensional model (79) is supplemented with data of a virtual light space.
    [7]
    7. The method according to claim 5 or 6, characterized in that the multi-dimensional model (79) is supplemented with georeferenced information data of a separate data source (39).
    [8]
    8. The method according to any one of claims 1 to 7, characterized in that control data for a workflow of a rail-bound construction and / or maintenance machine (4) from the data stored in the database (26) are derived.
    [9]
    9. The method according to claim 8, characterized in that a desired state of the travel path (3) is specified that deviations of the actual state are evaluated by the target state and that the control data are specified in dependence on the evaluated deviations.
    [10]
    10. The method according to claim 8 or 9, characterized in that after a workflow of the construction and / or maintenance machine (4) the actual state of the route (3) is detected.
    [11]
    11. Maintenance system (1) for carrying out a method according to one of claims 1 to 10, with a mounted on a rail vehicle measuring system (2) for measuring data acquisition, characterized in that the evaluation device (21) for determining objects (5, 6, 7 , 8, 9, 10, 11) of the travel path (3) from the measurement data (40) and for the assignment of the respective object (5, 6, 7, 8, 9, 10, 11) to an object class and that a data transmission system (35) for transmitting the data associated with an object (5, 6, 7, 8, 9, 10, 11) to the database (26).
    [12]
    12. Maintenance system (1) according to claim 11, characterized in that the evaluation device (21) for calculating a multi-dimensional model (79) of the travel path (3) from the measurement data (40) and from feature data of the measuring system (2) is set up.
    [13]
    13. maintenance system (1) according to claim 12, characterized in that the maintenance system (1) comprises an output device for perspective representation of the multi-dimensional model (79).
    [14]
    14. Maintenance system (1) according to any one of claims 11 to 13, characterized in that the measuring system (2) comprises a laser rotation scanner (13), a laser line scanner (14), an eddy current scanner (15), an inertial measuring unit (16) , a camera (20) and a GNSS receiver (17).
    [15]
    15. Maintenance system (1) according to one of claims 11 to 14, characterized in that the maintenance system (1) comprises a rail-bound construction and / or maintenance machine (4) which is set up for processing control data which is stored in the database ( 26) stored data are derived.
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    同族专利:
    公开号 | 公开日
    PL3469304T3|2021-11-08|
    CN109311495B|2021-10-22|
    ES2873355T3|2021-11-03|
    EP3469304A2|2019-04-17|
    WO2017215777A2|2017-12-21|
    CN109311495A|2019-02-05|
    JP2019525862A|2019-09-12|
    AT518692B1|2019-02-15|
    US11255055B2|2022-02-22|
    US20190136462A1|2019-05-09|
    WO2017215777A3|2018-03-22|
    JP6985301B2|2021-12-22|
    EP3469304B1|2021-04-14|
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    法律状态:
    优先权:
    申请号 | 申请日 | 专利标题
    ATA287/2016A|AT518692B1|2016-06-13|2016-06-13|Method and system for maintaining a track for rail vehicles|ATA287/2016A| AT518692B1|2016-06-13|2016-06-13|Method and system for maintaining a track for rail vehicles|
    US16/306,044| US11255055B2|2016-06-13|2017-05-17|Method and system for maintenance of a permanent way for rail vehicles|
    ES17739864T| ES2873355T3|2016-06-13|2017-05-17|Procedure and system for the maintenance of an infrastructure for railway vehicles|
    CN201780037015.7A| CN109311495B|2016-06-13|2017-05-17|Method and system for maintaining a travel route of a rail vehicle|
    PCT/EP2017/000598| WO2017215777A2|2016-06-13|2017-05-17|Method and system for the maintenance of a travel path for rail vehicles|
    JP2018565029A| JP6985301B2|2016-06-13|2017-05-17|Methods and systems for track maintenance for rail vehicles|
    PL17739864T| PL3469304T3|2016-06-13|2017-05-17|Method and system for the maintenance of a travel path for rail vehicles|
    EP17739864.1A| EP3469304B1|2016-06-13|2017-05-17|Method and system for the maintenance of a travel path for rail vehicles|
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