Track mileage calibration method and system based on track geometry dynamic and static waveform matching

Abstract

The present application relates to the technical field of track feature data analysis, and discloses a track mileage calibration method and system based on track geometric dynamic and static waveform matching, the system comprising a track geometric waveform parameter processing module, a track mileage calibration analysis module and a track mileage calibration execution module; based on numerical analysis, the consistency of track static and dynamic waveform sampling frequency is detected scientifically, and the sampling frequency of track geometric static waveform is intelligently adjusted by combining an interpolation algorithm, so that independent identification and correction of the track geometric waveform sampling frequency in track geometric dynamic waveform mileage calibration are realized; based on track geometric static and dynamic waveform combination information, corresponding standard track geometric static and dynamic waveform combination information is finely matched by combining an artificial intelligence bionic algorithm and a different track mileage calibration algorithm based on big data storage, so that the precision of track geometric dynamic waveform mileage calibration is improved.

Description

Technical Field

[0001] This invention relates to the technical field of track feature data analysis, specifically to a track mileage calibration method and system based on track geometric dynamic and static waveform matching. Background Technology

[0002] Track geometry refers to the geometric shape, relative position, and basic dimensions of various parts of the track. Track geometry is managed according to two conditions: static and dynamic. Static geometry refers to the state of the track when no train is in motion, and can be measured using tools such as track gauges and small track inspection vehicles. Dynamic geometry refers to the state of the track under operating conditions, and can be measured using track inspection vehicles. Track geometry static and dynamic waveform matching technology is mainly used for accurate calibration of track geometric parameters and mileage correction. The track dynamic geometric waveform diagram is a spatial distribution curve of track geometric parameters collected and plotted in real time along the track length direction by dynamic detection equipment, which intuitively reflects the dynamic changes in track geometry. The existing track mileage calibration process cannot intelligently adjust the frequency of track geometry static and dynamic waveforms, nor can it intelligently select the track mileage calibration algorithm type based on the characteristics of track geometry static and dynamic waveforms, thus reducing the accuracy of track mileage calibration.

[0003] Chinese invention patent CN118797532B discloses a multimodal fusion intelligent detection system for monitoring the overhead contact line suspension of railway tracks. This system constructs an initial composite data matrix of the overhead contact line suspension by collecting multiple sampling points on the suspension. It then performs nonlinear feature extraction and dimensionality reduction on the initial composite data matrix to obtain a dimensionality-reduced feature matrix. Based on tension estimation results and displacement functions, it calculates the abnormal state index of the overhead contact line suspension and defines anomaly judgment intervals. However, the above technical solution cannot intelligently select the data processing algorithm type based on the overhead contact line suspension data parameters. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] To address the issues raised by existing track mileage calibration processes, such as their inability to intelligently adjust the frequency of track geometry dynamic and static waveforms or to intelligently select the track mileage calibration algorithm type based on the characteristics of track geometry dynamic and static waveforms, thus reducing the accuracy of track mileage calibration, this paper aims to achieve the following: acquiring track geometry dynamic and static waveform parameters, intelligently judging the consistency of track geometry dynamic and static waveform sampling frequencies, intelligently adjusting track geometry static waveforms at the same frequency, scientifically generating combined parameters of track geometry dynamic and static waveforms, intelligently selecting the track mileage calibration algorithm type, and accurately calibrating the track geometry dynamic waveform mileage parameters.

[0006] (II) Technical Solution

[0007] This invention is achieved through the following technical solution: a track mileage calibration method based on track geometry dynamic and static waveform matching, the method comprising the following steps:

[0008] S1. Collect track geometry static waveform data and track geometry dynamic waveform data;

[0009] S2. Based on the track geometric static waveform data and the track geometric dynamic waveform data, perform sampling frequency measurement processing of the track's geometric static and dynamic waveforms, and generate track geometric static waveform frequency data and track geometric dynamic waveform frequency data;

[0010] S3. Based on the track geometric static waveform frequency data and the track geometric dynamic waveform frequency data, perform track static and dynamic waveform sampling frequency consistency judgment processing to generate track geometric static and dynamic waveform sampling frequency consistency judgment data; when the frequencies are the same, directly execute step S5;

[0011] S4. When the frequencies are not the same, the sampling frequency of the track geometric static waveform is adjusted based on the track geometric static waveform data, the track geometric static waveform frequency data, and the track geometric dynamic waveform frequency data to generate track geometric static waveform adjustment data.

[0012] S5. Based on the track geometric static waveform data or the track geometric static waveform adjustment data and the track geometric dynamic waveform data, perform track geometric static and dynamic waveform parameter combination processing to construct track geometric static and dynamic waveform combination data;

[0013] S6. Based on the combined static and dynamic waveform data of track geometry and the combined static and dynamic waveform data of track geometry corresponding to different track mileage calibration algorithms, perform track mileage calibration algorithm type matching processing to generate target track mileage calibration algorithm type feature data.

[0014] S7. Construct the track mileage calibration summary data, perform track mileage calibration processing on the track geometric dynamic waveform parameters, and generate track geometric dynamic waveform calibration data.

[0015] Preferably, the steps for acquiring track geometric static waveform data and track geometric dynamic waveform data are as follows:

[0016] S11. Using a track inspection vehicle equipped with track static detection equipment, measure and process the track geometric shape and position parameters at different mileage locations when the track is not in operation, and generate track geometric static waveform data. The track geometric static waveform data represents the combined parameters of mileage parameters and track physical geometric position parameters established with the mileage parameter in the track length direction as a one-dimensional coordinate axis when the track is not in operation. The track static detection equipment includes a laser rangefinder and an inclination sensor. The track geometric position parameters include the track orientation parameters, track gauge parameters, and track horizontal position parameters.

[0017] The track inspection vehicle, equipped with track dynamic detection equipment, measures and processes the track geometric shape and position parameters at different track mileages during track operation, and generates track geometric dynamic waveform data. The track geometry dynamic waveform data represents the combined parameters of mileage parameters and track physical geometry parameters established with the mileage parameter in the track length direction as a one-dimensional coordinate axis under the track driving state. The track dynamic detection equipment includes a gyroscope, accelerometer, laser rangefinder and tilt sensor.

[0018] Preferably, the steps for measuring and processing the sampling frequency of the track's geometric static and dynamic waveforms based on the track's geometric static waveform data and the track's geometric dynamic waveform data, and generating track geometric static waveform frequency data and track geometric dynamic waveform frequency data, are as follows:

[0019] S21. The generated track geometric static waveform data and the orbital geometric dynamic waveform data The data are imported into the track monitoring platform, and a bidirectional search algorithm is used to search for the data sampling frequency information corresponding to the target track's geometric static waveform and target track's geometric dynamic waveform based on frequency keywords. Track geometric static waveform frequency data is then generated. and orbital geometry dynamic waveform frequency data ,in and The unit for all values ​​is Hertz.

[0020] Preferably, based on the track geometry static waveform frequency data and the track geometry dynamic waveform frequency data, a consistency judgment process is performed on the track static and dynamic waveform sampling frequencies to generate track geometry static and dynamic waveform sampling frequency consistency judgment data; when the frequencies are the same, the operation steps of step S5 are directly executed as follows:

[0021] S31. Obtain the track geometric static waveform frequency data. and the orbital geometric dynamic waveform frequency data ;

[0022] S32, Transfer the track geometric static waveform frequency data With the orbital geometric dynamic waveform frequency data Perform waveform frequency value comparison, and generate track geometric static and dynamic waveform sampling frequency consistency judgment data based on the waveform frequency value comparison results. ;

[0023] when and If the waveform frequency comparison is successful, it indicates that the sampling frequencies of the acquired track geometric static waveform and track geometric dynamic waveform are consistent. Therefore, the consistency judgment data for the sampling frequencies of the track geometric static and dynamic waveforms is output. Since the frequencies are the same, step S5 is executed directly.

[0024] when and If the waveform frequency comparison fails, it indicates that the sampling frequencies of the acquired track geometric static waveform and track geometric dynamic waveform are inconsistent. In this case, output the consistency judgment data of the sampling frequencies of the track geometric static and dynamic waveforms. The frequencies are different.

[0025] Preferably, when the frequencies are not the same, the steps for adjusting the sampling frequency of the track geometric static waveform based on the track geometric static waveform data, the track geometric static waveform frequency data, and the track geometric dynamic waveform frequency data to generate track geometric static waveform adjustment data are as follows:

[0026] S41, when the track geometry static and dynamic waveform sampling frequency consistency judgment data When the frequencies are different, a linear interpolation algorithm is used to analyze the static waveform data of the orbital geometry. The orbital geometric static waveform frequency data According to the orbital geometric dynamic waveform frequency data Perform waveform frequency numerical adjustment processing and generate track geometry static waveform adjustment data. .

[0027] Preferably, the steps for constructing combined track geometry static and dynamic waveform data by combining the track geometry static waveform data or the track geometry static waveform adjustment data and the track geometry dynamic waveform data are as follows:

[0028] S51, The generated track geometry static waveform data Or the track geometry static waveform adjustment data and the orbital geometric dynamic waveform data The corresponding geometric waveforms are arranged vertically with the mileage parameter as the reference frame, and combined static and dynamic waveform data of the track geometry are constructed. ,in or ;

[0029] Preferably, the steps for performing track mileage calibration algorithm type matching processing based on the combined track geometry static and dynamic waveform data and the standard combined track geometry static and dynamic waveform data corresponding to different track mileage calibration algorithms to generate target track mileage calibration algorithm type feature data are as follows:

[0030] S61. Establish a data matrix of combined static and dynamic waveforms of standard track geometry corresponding to different track mileage calibration algorithms. , ;in Indicates the first The standard track geometry static and dynamic waveform combination data corresponding to different track odometer calibration algorithm types. This represents the maximum number of track mileage calibration algorithm types. Track mileage calibration algorithm types include principal point iterative correction algorithm, improved DTW algorithm, and chord measurement conversion and comparison. The standard track geometry static and dynamic waveform combination data corresponding to different track mileage calibration algorithms represent the standard track geometry static and dynamic waveform combination parameters set for different types of track mileage calibration algorithms.

[0031] S62. Combine the track geometric static and dynamic waveform data. The standard track geometry static and dynamic waveform combination data matrix corresponding to the different track mileage calibration algorithms The different track mileage calibration algorithms described herein correspond to the standard track geometric static and dynamic waveform combination data. Perform static and dynamic waveform image matching of the track geometry to search for combined data with the track geometry static and dynamic waveforms. Matching standard track geometry static and dynamic waveform combination data corresponding to the different track mileage calibration algorithms The corresponding orbital mileage calibration algorithm type text information is used to generate target orbital mileage calibration algorithm type feature data through data identification. Execute the generation of target orbital mileage calibration algorithm type feature data. The specific operating steps are as follows:

[0032] S621. Initialization: The maximum number of iterations T of the update algorithm and random initialization of the calibration algorithm's search for the osprey population location within the optimization space are performed. The location initialization formula is as follows: ,in The calibration algorithm is used to search for the Osprey. In spatial dimension The different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data matrix The location in the search space, This represents the combined data matrix of static and dynamic waveforms of the standard track geometry corresponding to the different track mileage calibration algorithms. The lower bound of the search space, This represents the combined data matrix of static and dynamic waveforms of the standard track geometry corresponding to the different track mileage calibration algorithms. The upper bound of the search space, This represents a random number within the range [0,1].

[0033] S622. Exploration Phase: The exploration phase of the calibration algorithm's search for osprey population updates is modeled based on the simulation of this natural behavior. The calibration algorithm searches for ospreys in the standard orbital geometry static and dynamic waveform combination data matrix corresponding to different orbital mileages. Randomly detect data combining static and dynamic waveforms of the orbital geometry in the search space. Matching standard track geometry static and dynamic waveform combination data corresponding to the different track mileage calibration algorithms The position of the Osprey is determined and attacked. Based on the simulation calibration algorithm's search for the Osprey's movement towards the target, the new position of the Osprey searched by the corresponding calibration algorithm is updated. The formula for updating the Osprey's position using the calibration algorithm is as follows: ,in This indicates that the calibration algorithm was used to search for Ospreys during the exploration phase. After the update, the spatial dimension is The different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data matrix The position in the search space; This represents the data matrix of static and dynamic waveform combinations of the standard orbit geometry corresponding to the calibration algorithm for searching the Osprey at different orbital mileages. The selected data in the search space that combines the static and dynamic waveforms of the orbital geometry Matching standard track geometry static and dynamic waveform combination data corresponding to the different track mileage calibration algorithms Target; This represents a constant that takes the value 1 or 2; if the updated position is better, the calibration algorithm searches for the Osprey's initial position before the update according to the position replacement formula during the exploration phase. The position replacement formula during the exploration phase is: ,in The calibration algorithm for the osprey during the exploration phase indicates a search for the osprey. After the update, the spatial dimension is The different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data matrix The optimal position in the search space; express The different track mileage calibration algorithms at the specified locations correspond to the standard track geometry static and dynamic waveform combination data. Combined data with the orbital geometry static and dynamic waveforms fitness value, express The different track mileage calibration algorithms at the specified locations correspond to the standard track geometry static and dynamic waveform combination data. Combined data with the orbital geometry static and dynamic waveforms fitness value;

[0034] S623. During the development phase, the calibration algorithm searches for the standard orbital geometry, static and dynamic waveform combination data matrix corresponding to the Osprey's calibration algorithm at different orbital mileages. Hunting and consuming data in the search space that combines the static and dynamic waveforms of the orbital geometry Matching standard track geometry static and dynamic waveform combination data corresponding to the different track mileage calibration algorithms The goal of the algorithm calibration algorithm for searching and updating osprey populations is to model the natural behavior of ospreys by calibrating the algorithm, and to calculate new random locations as suitable feeding grounds combined with the static and dynamic waveform data of the orbital geometry. Matching standard track geometry static and dynamic waveform combination data corresponding to the different track mileage calibration algorithms The target location is used to calculate new suitable edible data combining static and dynamic waveforms with the orbital geometry. Matching standard track geometry static and dynamic waveform combination data corresponding to the different track mileage calibration algorithms Formula for the location of the target ,in This indicates that the calibration algorithm was used to search for Ospreys during the development phase. After the update, the spatial dimension is The different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data matrix The new random location in the search space serves as a suitable edible combination of static and dynamic waveform data with the orbital geometry. Matching standard track geometry static and dynamic waveform combination data corresponding to the different track mileage calibration algorithms The location of the target This indicates the current algorithm iteration number; if the value of the objective function improves at this new position, the initial position of the calibration algorithm before the Osprey update is replaced according to the development phase position replacement formula, which is: in This indicates that the calibration algorithm was used to search for Ospreys during the development phase. After the update, the spatial dimension is The different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data matrix The optimal position in the search space; express The different track mileage calibration algorithms at the specified locations correspond to the standard track geometry static and dynamic waveform combination data. Combined data with the orbital geometry static and dynamic waveforms fitness value;

[0035] S624. After the algorithm reaches the maximum number of iterations, it outputs the combined data of the track geometry static and dynamic waveforms. The most suitable combination of standard track geometry static and dynamic waveform data corresponding to the different track mileage calibration algorithms. Otherwise, continue executing steps S622 to S623 until the maximum number of iterations is met;

[0036] S625. Combine the data output in step S624 with the orbital geometric static and dynamic waveforms. The most suitable combination of standard track geometry static and dynamic waveform data corresponding to the different track mileage calibration algorithms. The corresponding orbital mileage calibration algorithm type text information is used to generate target orbital mileage calibration algorithm type feature data through data identification. .

[0037] Preferably, the steps for constructing the track mileage calibration summary data, performing track geometric dynamic waveform parameter calibration processing on the track mileage, and generating track geometric dynamic waveform calibration data are as follows:

[0038] S71, Combine the track geometric static and dynamic waveform data The target orbital mileage calibration algorithm type feature data By combining the data, a summary of orbital mileage calibration data is constructed. ,in ;

[0039] S72, The track monitoring platform calibrates the target track mileage calibration algorithm type feature data. The corresponding track mileage calibration algorithm feature information calls the corresponding track mileage calibration program to extract the track mileage calibration summary data. The internal orbital geometry static and dynamic waveform combination data The geometric dynamic waveform and geometric static waveform feature information aligned within the same mileage interval are used to analyze the track geometric dynamic waveform data. Perform track mileage calibration processing on track geometric dynamic waveform parameters and generate track geometric dynamic waveform calibration data. .

[0040] A track mileage calibration system based on track geometry dynamic and static waveform matching is used to implement the track mileage calibration method based on track geometry dynamic and static waveform matching. The system includes a track geometry waveform parameter processing module, a track mileage calibration analysis module, and a track mileage calibration execution module.

[0041] The track geometry waveform parameter processing module includes a track geometry static waveform parameter acquisition unit, a track geometry dynamic waveform parameter acquisition unit, a track geometry static and dynamic waveform sampling frequency measurement unit, a track geometry static and dynamic waveform sampling frequency consistency judgment unit, and a track geometry static waveform sampling frequency adjustment unit.

[0042] The track geometry static waveform parameter acquisition unit acquires track geometry static waveform data using a track inspection vehicle equipped with track static detection equipment. The track geometry dynamic waveform parameter acquisition unit acquires track geometry dynamic waveform data using a track inspection vehicle equipped with track dynamic detection equipment. The track geometry static and dynamic waveform sampling frequency measurement unit performs sampling frequency measurement processing of the track geometry static and dynamic waveforms based on the track geometry static waveform data and the track geometry dynamic waveform data, combined with the track monitoring platform, and generates track geometry static waveform frequency data and track geometry dynamic waveform frequency data. The track geometry static and dynamic waveform sampling frequency consistency judgment unit performs track geometry static and dynamic waveform sampling frequency consistency judgment processing based on the track geometry static waveform frequency data and the track geometry dynamic waveform frequency data, and generates track geometry static and dynamic waveform sampling frequency consistency judgment data. The track geometry static waveform sampling frequency adjustment unit performs track geometry static waveform sampling frequency adjustment processing based on the track geometry static waveform data, track geometry static waveform frequency data, and track geometry dynamic waveform frequency data, and generates track geometry static waveform adjustment data.

[0043] The track mileage calibration analysis module includes a track geometry static and dynamic waveform combination parameter generation unit, a standard track geometry static and dynamic waveform combination parameter storage unit corresponding to different track mileage calibration algorithms, and a track mileage calibration algorithm type matching unit.

[0044] The track geometry static and dynamic waveform combination parameter generation unit performs track geometry static and dynamic waveform parameter combination processing based on the track geometry static waveform data or the track geometry static waveform adjustment data and the track geometry dynamic waveform data to construct track geometry static and dynamic waveform combination data; the standard track geometry static and dynamic waveform combination parameter storage unit corresponding to different track mileage calibration algorithms is used to store the standard track geometry static and dynamic waveform combination data corresponding to different track mileage calibration algorithms; the track mileage calibration algorithm type matching unit performs track mileage calibration algorithm type matching processing based on the track geometry static and dynamic waveform combination data and the standard track geometry static and dynamic waveform combination data corresponding to different track mileage calibration algorithms to generate target track mileage calibration algorithm type feature data.

[0045] The track mileage calibration execution module includes a track mileage calibration parameter collection unit and a track mileage calibration execution unit;

[0046] The track mileage calibration parameter collection unit constructs track mileage calibration summary data based on the combined parameters of track geometric static and dynamic waveforms and the characteristic information of the target track mileage calibration algorithm type, combined with data processing. The track mileage calibration execution unit, based on the track mileage calibration algorithm characteristic information corresponding to the target track mileage calibration algorithm type characteristic data, calls the corresponding track mileage calibration program to extract the geometric dynamic waveform and geometric static waveform characteristic information aligned within the same mileage interval from the combined data of track geometric static and dynamic waveforms within the track mileage calibration summary data, performs track geometric dynamic waveform parameter track mileage calibration processing on the track geometric dynamic waveform data, and generates track geometric dynamic waveform calibration data.

[0047] (III) Beneficial Effects

[0048] This invention provides a method and system for track mileage calibration based on dynamic and static waveform matching of track geometry. It has the following advantages:

[0049] I. By using a track inspection vehicle equipped with static and dynamic track detection equipment, the track geometric static and dynamic waveform parameters of the track under both non-operational and operational conditions can be efficiently and accurately acquired, providing reliable data support for the accurate calibration of track geometric dynamic waveform parameters. Based on track geometric static waveform information and track geometric dynamic waveform information combined with intelligent search algorithms, the track monitoring platform can efficiently and accurately acquire track geometric static and dynamic waveform sampling frequency information, realizing efficient measurement of track geometric static and dynamic waveform sampling frequencies. Based on numerical analysis, the consistency of track static and dynamic waveform sampling frequencies can be scientifically detected. At the same time, interpolation algorithms can be used to intelligently adjust the sampling frequency of track geometric static waveforms, realizing the autonomous identification and correction of track geometric waveform sampling frequencies in track geometric dynamic waveform mileage calibration, improving the efficiency and accuracy of track geometric dynamic waveform mileage calibration.

[0050] Second, by combining track geometry static waveform information or track geometry static waveform adjustment information with track geometry dynamic waveform information and numerical analysis, a combination of track geometry static and dynamic waveform parameters is scientifically constructed, providing reliable data support for accurately selecting track mileage calibration algorithm objects. Based on the combination of track geometry static and dynamic waveform information, combined with artificial intelligence bionic algorithms and standard track geometry static and dynamic waveform combination information corresponding to different track mileage calibration algorithms based on big data storage, the track mileage calibration algorithm type is finely matched, enabling flexible and accurate selection of the optimal track mileage calibration algorithm object based on the characteristics of track geometry static and dynamic waveforms, thereby improving the accuracy of track geometry dynamic waveform mileage calibration.

[0051] Third, by scientifically constructing track mileage calibration summary information based on data analysis, the system achieves efficient and accurate collection of track geometric dynamic waveform mileage calibration data. Simultaneously, it integrates with the track monitoring platform to autonomously and accurately process and output track geometric dynamic waveform information for track mileage calibration, thereby realizing autonomous operation and output of the track geometric dynamic waveform mileage calibration process and improving the reliability and applicability of track geometric dynamic waveform mileage calibration. Attached Figure Description

[0052] Figure 1 A schematic diagram of the module of the track mileage calibration system based on track geometry dynamic and static waveform matching provided by the present invention;

[0053] Figure 2 The flowchart shows the track mileage calibration method based on track geometry dynamic and static waveform matching provided by the present invention. Detailed Implementation

[0054] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0055] An embodiment of the track mileage calibration method and system based on track geometry dynamic and static waveform matching is as follows:

[0056] Example 1:

[0057] Please see Figures 1-2 A track mileage calibration method based on track geometry dynamic and static waveform matching, the method includes the following steps:

[0058] S1. Collect track geometry static waveform data and track geometry dynamic waveform data;

[0059] S2. Based on the track geometric static waveform data and track geometric dynamic waveform data, perform sampling frequency measurement and processing of the track geometric static and dynamic waveforms, and generate track geometric static waveform frequency data and track geometric dynamic waveform frequency data;

[0060] S3. Based on the track geometry static waveform frequency data and track geometry dynamic waveform frequency data, perform track static and dynamic waveform sampling frequency consistency judgment processing to generate track geometry static and dynamic waveform sampling frequency consistency judgment data; when the frequencies are the same, directly execute step S5;

[0061] S4. When the frequencies are different, the sampling frequency of the track geometric static waveform is adjusted based on the track geometric static waveform data, the track geometric static waveform frequency data, and the track geometric dynamic waveform frequency data to generate track geometric static waveform adjustment data.

[0062] S5. Based on the track geometry static waveform data or track geometry static waveform adjustment data and track geometry dynamic waveform data, perform track geometry static and dynamic waveform parameter combination processing to construct track geometry static and dynamic waveform combination data;

[0063] S6. Based on the combination data of track geometry static and dynamic waveforms and the standard combination data of track geometry static and dynamic waveforms corresponding to different track mileage calibration algorithms, track mileage calibration algorithm type matching processing is performed to generate target track mileage calibration algorithm type feature data.

[0064] S7. Construct the track mileage calibration summary data, perform track mileage calibration processing on the track geometric dynamic waveform parameters, and generate track geometric dynamic waveform calibration data.

[0065] For further details, please refer to Figures 1-2 The steps for collecting track geometry static waveform data and track geometry dynamic waveform data are as follows:

[0066] S11. Using a track inspection vehicle equipped with track static detection equipment, measure and process the track geometric shape and position parameters at different mileage locations when the track is not in operation, and generate track geometric static waveform data. The track geometry static waveform data represents the combined parameters of mileage parameters and track physical geometry parameters established with the mileage parameter in the track length direction as a one-dimensional coordinate axis when the track is not in operation. The track static detection equipment includes a laser rangefinder and an inclination sensor. The track geometry parameters include the track orientation parameters, track gauge parameters, and track horizontal geometry parameters.

[0067] The track inspection vehicle, equipped with track dynamic detection equipment, measures and processes the track geometric shape and position parameters at different track mileages during track operation, and generates track geometric dynamic waveform data. Track geometric dynamic waveform data represents the combination of mileage parameters and track physical geometric position parameters established with the mileage parameter in the track length direction as a one-dimensional coordinate axis under track operation. Track dynamic detection equipment includes gyroscopes, accelerometers, laser rangefinders and tilt sensors.

[0068] The steps for measuring and processing the sampling frequencies of the track's static and dynamic waveforms based on track geometrical waveform data, and generating track geometrical static and dynamic waveform frequency data, are as follows:

[0069] S21. Generate the track geometry static waveform data and orbital geometry dynamic waveform data The data are imported into the track monitoring platform, and a bidirectional search algorithm is used to search for the data sampling frequency information corresponding to the target track's geometric static waveform and target track's geometric dynamic waveform based on frequency keywords. Track geometric static waveform frequency data is then generated. and orbital geometry dynamic waveform frequency data ,in and The unit for all values ​​is Hertz.

[0070] Based on the track geometry static waveform frequency data and track geometry dynamic waveform frequency data, a consistency judgment process is performed on the sampling frequencies of the track static and dynamic waveforms to generate consistency judgment data for the sampling frequencies of the track geometry static and dynamic waveforms. When the frequencies are the same, the operation steps of step S5 are directly executed as follows:

[0071] S31. Obtain track geometric static waveform frequency data and orbital geometry dynamic waveform frequency data ;

[0072] S32, Transfer the track geometry static waveform frequency data With orbital geometric dynamic waveform frequency data Perform waveform frequency value comparison, and generate track geometric static and dynamic waveform sampling frequency consistency judgment data based on the waveform frequency value comparison results. ;

[0073] when and If the waveform frequency comparison is successful, it means that the sampling frequencies of the acquired track geometry static waveform and track geometry dynamic waveform are consistent. Therefore, output the consistency judgment data for the sampling frequencies of the track geometry static and dynamic waveforms. Since the frequencies are the same, step S5 is executed directly.

[0074] when and If the waveform frequency comparison fails, it indicates that the sampling frequencies of the acquired track geometry static waveform and track geometry dynamic waveform are inconsistent. Therefore, output the track geometry static and dynamic waveform sampling frequency consistency judgment data. The frequencies are different.

[0075] When the frequencies are different, the sampling frequency adjustment processing of the track geometric static waveform is performed based on the track geometric static waveform data, track geometric static waveform frequency data, and track geometric dynamic waveform frequency data to generate track geometric static waveform adjustment data. The operation steps are as follows:

[0076] S41. Data for judging the consistency of sampling frequencies of track geometry static and dynamic waveforms When the frequencies are different, a linear interpolation algorithm is used to analyze the static waveform data of the orbital geometry. Orbital geometry static waveform frequency data According to the orbital geometric dynamic waveform frequency data Perform waveform frequency numerical adjustment processing and generate track geometry static waveform adjustment data. .

[0077] By employing a track geometry static waveform parameter acquisition unit and a track geometry dynamic waveform parameter acquisition unit in tandem, and utilizing a track inspection vehicle equipped with track static and dynamic detection equipment, the track geometry static and dynamic waveform parameters are efficiently and accurately acquired under both non-operational and operational conditions, providing reliable data support for accurate calibration of track geometry dynamic waveform parameters. The track geometry static and dynamic waveform sampling frequency measurement unit, based on track geometry static and dynamic waveform information combined with an intelligent search algorithm, efficiently and accurately acquires track geometry static and dynamic waveform sampling frequency information from the track monitoring platform, achieving efficient measurement of track geometry static and dynamic waveform sampling frequencies. The track geometry static and dynamic waveform sampling frequency consistency judgment unit and the track geometry static waveform sampling frequency adjustment unit work together to scientifically detect the consistency of track geometry static and dynamic waveform sampling frequencies based on numerical analysis. Simultaneously, they combine interpolation algorithms to intelligently adjust the sampling frequency of the track geometry static waveform, enabling autonomous identification and correction of the track geometry waveform sampling frequency during track geometry dynamic waveform mileage calibration, thereby improving the efficiency and accuracy of track geometry dynamic waveform mileage calibration.

[0078] For further details, please refer to Figures 1-2 The steps for constructing combined static and dynamic waveform data of track geometry by combining track geometry static and dynamic waveform parameters based on track geometry static waveform data or track geometry static waveform adjustment data and track geometry dynamic waveform data are as follows:

[0079] S51. Generate the track geometry static waveform data Or track geometry static waveform adjustment data and orbital geometry dynamic waveform data The corresponding geometric waveforms are arranged vertically with the mileage parameter as the reference frame, and combined static and dynamic waveform data of the track geometry are constructed. ,in or ;

[0080] The steps for generating target track mileage calibration algorithm type feature data by performing track mileage calibration algorithm type matching processing based on track geometry static and dynamic waveform combination data and standard track geometry static and dynamic waveform combination data corresponding to different track mileage calibration algorithms are as follows:

[0081] S61. Establish a data matrix of combined static and dynamic waveforms of standard track geometry corresponding to different track mileage calibration algorithms. , ;in Indicates the first The standard track geometry static and dynamic waveform combination data corresponding to different track odometer calibration algorithm types. This represents the maximum number of track mileage calibration algorithm types. Track mileage calibration algorithm types include principal point iterative correction algorithm, improved DTW algorithm, and chord measurement conversion and comparison. The standard track geometry static and dynamic waveform combination data corresponding to different track mileage calibration algorithms represent the standard track geometry static and dynamic waveform combination parameters set for different types of track mileage calibration algorithms.

[0082] S62. Combine track geometry static and dynamic waveform data Combined data matrix of standard track geometry static and dynamic waveforms corresponding to different track mileage calibration algorithms Different track mileage calibration algorithms correspond to standard track geometric static and dynamic waveform combination data Perform static and dynamic waveform image matching of the track geometry to search for combined data with the track geometry and static and dynamic waveforms. Matching different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data The corresponding orbital mileage calibration algorithm type text information is used to generate target orbital mileage calibration algorithm type feature data through data identification. Execute the target orbital mileage calibration algorithm type feature data The specific operating steps are as follows:

[0083] S621. Initialization: The maximum number of iterations T of the update algorithm and random initialization of the calibration algorithm's search for the osprey population location within the optimization space are performed. The location initialization formula is as follows: ,in The calibration algorithm is used to search for the Osprey. In spatial dimension Different orbital mileage calibration algorithms correspond to standard orbital geometry static and dynamic waveform combination data matrices The location in the search space, This represents the combined data matrix of static and dynamic waveforms of standard orbit geometry corresponding to different orbital mileage calibration algorithms. The lower bound of the search space, This represents the combined data matrix of static and dynamic waveforms of standard orbit geometry corresponding to different orbital mileage calibration algorithms. The upper bound of the search space, This represents a random number within the range [0,1].

[0084] S622, Exploration Phase: The exploration phase of the calibration algorithm's search for Osprey population updates is modeled based on the simulation of this natural behavior. The calibration algorithm searches for Ospreys at different orbital mileages, using a combination data matrix of geometric static and dynamic waveforms of the standard orbit corresponding to the calibration algorithm. Random detection and combination of orbital geometric static and dynamic waveform data in the search space Matching different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data The position of the Osprey is determined and attacked. Based on the simulation calibration algorithm's search for the Osprey's movement towards the target, the new position of the Osprey searched by the corresponding calibration algorithm is updated. The formula for updating the Osprey's position using the calibration algorithm is as follows: ,in This indicates that the calibration algorithm was used to search for Ospreys during the exploration phase. After the update, the spatial dimension is Different orbital mileage calibration algorithms correspond to standard orbital geometry static and dynamic waveform combination data matrices The position in the search space; This represents the data matrix of static and dynamic waveform combinations of standard orbit geometry corresponding to the calibration algorithm for Osprey orbits at different orbital mileages. Selected data in the search space that combines static and dynamic waveforms with orbital geometry Matching different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data Target; This represents a constant that takes the value 1 or 2; if the updated position is better, the calibration algorithm searches for the Osprey's initial position before the update according to the position replacement formula during the exploration phase. The position replacement formula during the exploration phase is: ,in The calibration algorithm for the osprey during the exploration phase indicates a search for the osprey. After the update, the spatial dimension is Different orbital mileage calibration algorithms correspond to standard orbital geometry static and dynamic waveform combination data matrices The optimal position in the search space; express Different track mileage calibration algorithms at different locations correspond to standard track geometry static and dynamic waveform combination data Combined data with track geometry static and dynamic waveforms fitness value, express Different track mileage calibration algorithms at different locations correspond to standard track geometry static and dynamic waveform combination data Combined data with track geometry static and dynamic waveforms fitness value;

[0085] S623. During the development phase, the calibration algorithm searches for the standard orbital geometry, static and dynamic waveform combination data matrix corresponding to the Osprey's calibration algorithm at different orbital mileages. Hunting and consuming combined data of orbital geometry static and dynamic waveforms in the search space Matching different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data The goal of the algorithm calibration search for osprey population updates is to model the simulation of this natural behavior of ospreys, calculating new random locations as suitable feeding grounds combined with static and dynamic waveform data of orbital geometry. Matching different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data The target's location is used to calculate new suitable edible data combining static and dynamic waveforms with orbital geometry. Matching different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data Formula for the location of the target ,in This indicates that the calibration algorithm was used to search for Ospreys during the development phase. After the update, the spatial dimension is Different orbital mileage calibration algorithms correspond to standard orbital geometry static and dynamic waveform combination data matrices New random locations in the search space serve as suitable edible combinations of static and dynamic waveform data with orbital geometry. Matching different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data The location of the target This indicates the current algorithm iteration number; if the value of the objective function improves at this new position, the initial position of the calibration algorithm before the Osprey update is replaced according to the development phase position replacement formula, which is: in This indicates that the calibration algorithm was used to search for Ospreys during the development phase. After the update, the spatial dimension is Different orbital mileage calibration algorithms correspond to standard orbital geometry static and dynamic waveform combination data matrices The optimal position in the search space; express Different track mileage calibration algorithms at different locations correspond to standard track geometry static and dynamic waveform combination data Combined data with track geometry static and dynamic waveforms fitness value;

[0086] S624. After the algorithm reaches the maximum number of iterations, it outputs combined data with the static and dynamic waveforms of the track geometry. The most suitable combination of standard track geometry static and dynamic waveform data for different track odometer calibration algorithms Otherwise, continue executing steps S622 to S623 until the maximum number of iterations is met;

[0087] S625. Combine the data output in step S624 with the static and dynamic waveforms of the track geometry. The most suitable combination of standard track geometry static and dynamic waveform data for different track odometer calibration algorithms The corresponding orbital mileage calibration algorithm type text information is used to generate target orbital mileage calibration algorithm type feature data through data identification. .

[0088] The track geometry static and dynamic waveform combination parameter generation unit scientifically constructs track geometry static and dynamic waveform parameter combination information based on track geometry static waveform information or track geometry static waveform adjustment information, track geometry dynamic waveform information, and numerical analysis, providing reliable data support for accurately selecting track mileage calibration algorithm objects. The track mileage calibration algorithm type matching unit performs fine matching of track mileage calibration algorithm types based on the track geometry static and dynamic waveform combination information, combined with artificial intelligence bionic algorithms and standard track geometry static and dynamic waveform combination information corresponding to different track mileage calibration algorithms based on big data storage. This enables flexible and accurate selection of the optimal track mileage calibration algorithm object based on the characteristics of track geometry static and dynamic waveforms, improving the accuracy of track geometry dynamic waveform mileage calibration.

[0089] For further details, please refer to Figures 1-2 The steps for constructing track mileage calibration summary data and performing track geometry dynamic waveform parameter calibration processing to generate track geometry dynamic waveform calibration data are as follows:

[0090] S71, Combine track geometry static and dynamic waveform data Target orbital mileage calibration algorithm type feature data By combining the data, a summary of orbital mileage calibration data is constructed. ,in ;

[0091] S72, The track monitoring platform calibrates algorithm type characteristic data based on target track mileage. The corresponding track mileage calibration algorithm feature information calls the corresponding track mileage calibration program to extract the track mileage calibration summary data. Internal orbital geometry static and dynamic waveform combination data The geometric dynamic waveform and geometric static waveform feature information aligned within the same mileage interval are used to analyze the track geometric dynamic waveform data. Perform track mileage calibration processing on track geometric dynamic waveform parameters and generate track geometric dynamic waveform calibration data. .

[0092] By cooperating with the track mileage calibration parameter collection unit and the track mileage calibration execution unit, track mileage calibration summary information is scientifically constructed based on data analysis, enabling efficient and accurate collection of track geometric dynamic waveform mileage calibration data. At the same time, combined with the track monitoring platform, the track geometric dynamic waveform information is autonomously and accurately processed and output for track mileage calibration, realizing autonomous operation and output of the track geometric dynamic waveform mileage calibration process, and improving the reliability and applicability of track geometric dynamic waveform mileage calibration.

[0093] Example 2:

[0094] Please see Figures 1-2 A track mileage calibration system based on track geometry dynamic and static waveform matching is used to implement a track mileage calibration method based on track geometry dynamic and static waveform matching. The system includes a track geometry waveform parameter processing module, a track mileage calibration analysis module, and a track mileage calibration execution module.

[0095] The track geometry waveform parameter processing module includes a track geometry static waveform parameter acquisition unit, a track geometry dynamic waveform parameter acquisition unit, a track geometry static and dynamic waveform sampling frequency measurement unit, a track geometry static and dynamic waveform sampling frequency consistency judgment unit, and a track geometry static waveform sampling frequency adjustment unit.

[0096] The system comprises the following components: a track geometry static waveform parameter acquisition unit, which acquires track geometry static waveform data using a track inspection vehicle equipped with track static detection equipment; a track geometry dynamic waveform parameter acquisition unit, which acquires track geometry dynamic waveform data using a track inspection vehicle equipped with track dynamic detection equipment; a track geometry static and dynamic waveform sampling frequency measurement unit, which performs sampling frequency measurement processing of the track's geometry static and dynamic waveforms based on the track geometry static and dynamic waveform data and in conjunction with the track monitoring platform, and generates track geometry static waveform frequency data and track geometry dynamic waveform frequency data; a track geometry static and dynamic waveform sampling frequency consistency judgment unit, which performs track geometry static and dynamic waveform sampling frequency consistency judgment processing based on the track geometry static waveform frequency data and track geometry dynamic waveform frequency data, and generates track geometry static waveform sampling frequency adjustment data; and a track geometry static waveform sampling frequency adjustment unit, which adjusts the sampling frequency of the track geometry static waveform based on the track geometry static waveform data, track geometry static waveform frequency data, and track geometry dynamic waveform frequency data, and generates track geometry static waveform adjustment data.

[0097] The track mileage calibration analysis module includes a track geometry static and dynamic waveform combination parameter generation unit, a standard track geometry static and dynamic waveform combination parameter storage unit corresponding to different track mileage calibration algorithms, and a track mileage calibration algorithm type matching unit.

[0098] The track geometry static and dynamic waveform combination parameter generation unit processes track geometry static waveform data or track geometry static waveform adjustment data and track geometry dynamic waveform data to construct track geometry static and dynamic waveform combination data; the standard track geometry static and dynamic waveform combination parameter storage unit corresponding to different track mileage calibration algorithms stores the standard track geometry static and dynamic waveform combination data corresponding to different track mileage calibration algorithms; the track mileage calibration algorithm type matching unit performs track mileage calibration algorithm type matching processing based on the track geometry static and dynamic waveform combination data and the standard track geometry static and dynamic waveform combination data corresponding to different track mileage calibration algorithms to generate target track mileage calibration algorithm type feature data.

[0099] The track mileage calibration execution module includes a track mileage calibration parameter collection unit and a track mileage calibration execution unit;

[0100] The track mileage calibration parameter collection unit constructs track mileage calibration summary data based on the combined parameters of track geometric static and dynamic waveforms and the characteristic information of the target track mileage calibration algorithm type, combined with data processing. The track mileage calibration execution unit, based on the track mileage calibration algorithm characteristic information corresponding to the target track mileage calibration algorithm type characteristic data, calls the corresponding track mileage calibration program to extract the geometric dynamic waveform and geometric static waveform characteristic information aligned within the same mileage interval from the combined data of track geometric static and dynamic waveforms within the track mileage calibration summary data, performs track geometric dynamic waveform parameter track mileage calibration processing on the track geometric dynamic waveform data, and generates track geometric dynamic waveform calibration data.

[0101] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A track mileage calibration method based on track geometry dynamic and static waveform matching, characterized in that, The method includes the following steps: S1. Collect track geometry static waveform data and track geometry dynamic waveform data; S2. Perform sampling frequency measurement and processing of the track's geometric static and dynamic waveforms, and generate track geometric static waveform frequency data and track geometric dynamic waveform frequency data; S3. Perform consistency judgment processing on the sampling frequency of track static and dynamic waveforms, and generate consistency judgment data on the sampling frequency of track geometric static and dynamic waveforms; when the frequencies are the same, directly execute step S5. S4. When the frequencies are different, perform sampling frequency adjustment processing on the track geometry static waveform to generate track geometry static waveform adjustment data. S5. Perform track geometry static and dynamic waveform parameter combination processing to construct track geometry static and dynamic waveform combination data; S6. Perform track mileage calibration algorithm type matching processing to generate target track mileage calibration algorithm type feature data; S7. Construct the track mileage calibration summary data, perform track geometric dynamic waveform parameter track mileage calibration processing, and generate track geometric dynamic waveform calibration data. S5 includes the following steps: S51. Generate the track geometry static waveform data Or track geometry static waveform adjustment data and orbital geometry dynamic waveform data The corresponding geometric waveforms are arranged vertically with the odometer parameter as the reference frame, and combined static and dynamic waveform data of the track geometry are constructed. ,in or ; S6 includes the following steps: S61. Establish a data matrix of combined static and dynamic waveforms of standard track geometry corresponding to different track mileage calibration algorithms. , ;in Indicates the first The standard track geometry static and dynamic waveform combination data corresponding to different track odometer calibration algorithm types. This represents the maximum number of track mileage calibration algorithm types. S62, the above With the The above Perform static and dynamic waveform image matching of the orbital geometry to search for the matching... The matching The corresponding orbital mileage calibration algorithm type text information is used to generate target orbital mileage calibration algorithm type feature data through data identification. ; S7 includes the following steps: S71, the above The above By combining the data, a summary of orbital mileage calibration data is constructed. ; S72, the track monitoring platform, based on the aforementioned The corresponding orbital mileage calibration algorithm feature information calls the corresponding orbital mileage calibration program to extract the... The internal description The geometric dynamic waveform and geometric static waveform feature information aligned within the same mileage interval are used to... Perform track mileage calibration processing on track geometric dynamic waveform parameters and generate track geometric dynamic waveform calibration data. .

2. The track mileage calibration method based on track geometry dynamic and static waveform matching according to claim 1, characterized in that: S1 includes the following steps: S11. Using a track inspection vehicle equipped with track static detection equipment, measure and process the track geometric shape and position parameters at different mileage locations when the track is not in operation, and generate track geometric static waveform data. ; The track inspection vehicle, equipped with track dynamic detection equipment, measures and processes the track geometric shape and position parameters at different track mileages during track operation, and generates track geometric dynamic waveform data. .

3. The track mileage calibration method based on track geometry dynamic and static waveform matching according to claim 2, characterized in that: S2 includes the following steps: S21, the generated... and stated The data are imported into the track monitoring platform, and a bidirectional search algorithm is used to search for the data sampling frequency information corresponding to the target track's geometric static waveform and target track's geometric dynamic waveform based on frequency keywords. Track geometric static waveform frequency data is then generated. and orbital geometry dynamic waveform frequency data ,in and The unit for all values ​​is Hertz.

4. The track mileage calibration method based on track geometry dynamic and static waveform matching according to claim 3, characterized in that: S3 includes the following steps: S31, Obtain the and stated ; S32, the above With the Perform waveform frequency value comparison, and generate track geometry static and dynamic waveform sampling frequency consistency judgment data based on the waveform frequency value comparison results. ; when and If the waveform frequency values ​​are successfully compared, then the output is as follows. Since the frequencies are the same, step S5 is executed directly. when and If the waveform frequency value comparison fails, then output the above. The frequencies are different.

5. The track mileage calibration method based on track geometry dynamic and static waveform matching according to claim 4, characterized in that: S4 includes the following steps: S41, when the above When the frequencies are different, a linear interpolation algorithm is used to... The above According to the above Perform waveform frequency numerical adjustment processing and generate track geometry static waveform adjustment data. .

6. The track mileage calibration method based on track geometry dynamic and static waveform matching according to claim 5, characterized in that: Execute to generate the target orbital mileage calibration algorithm type feature data The specific operating steps are as follows: S621. Initialize and update the maximum number of iterations T of the algorithm and randomly initialize the calibration algorithm to search for the location of the osprey population in the optimization space; S622, Exploration Phase: The exploration phase of the calibration algorithm's search for osprey population updates is modeled based on the simulation of this natural behavior. The calibration algorithm searches for ospreys in the... Randomly detect in the search space that are related to the The matching The system locates and attacks the target, and based on the simulated calibration algorithm's search for the Osprey's movement towards the target, it updates the corresponding calibration algorithm's search for the Osprey's new location. If the updated new location is better, it replaces the initial location of the Osprey searched by the calibration algorithm before the update according to the location replacement formula in the exploration phase. S623, during the development phase, the calibration algorithm searches for the Osprey in the... Hunting and eating animals in the search space that are described The matching The goal of the algorithm calibration algorithm for searching and updating osprey populations is to model the natural behavior of ospreys using calibration algorithms, and to calculate new random locations as suitable food sources for them. The matching The target location is used to calculate new edible species related to the aforementioned... The matching The target's location; if the value of the objective function improves at this new location, the calibration algorithm is replaced according to the location replacement formula in the development phase to search for the Osprey's initial location before the update; S624. When the algorithm satisfies the maximum number of iterations, the output is the same as described above. The most matching Otherwise, continue executing steps S622 to S623 until the maximum number of iterations is met; S625. The output from step S624 is compared with the... The most matching The corresponding orbital mileage calibration algorithm type text information is used to generate target orbital mileage calibration algorithm type feature data through data identification. .

7. A track mileage calibration system based on track geometry dynamic and static waveform matching, used to implement the track mileage calibration method based on track geometry dynamic and static waveform matching as described in any one of claims 1-6, characterized in that: The system includes a track geometry waveform parameter processing module, a track mileage calibration analysis module, and a track mileage calibration execution module.

Images