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

Abstract

The invention relates to the technical field of track characteristic data analysis, and discloses a track mileage calibration method and system based on track geometric dynamic and static waveform matching, the system comprises a track geometric waveform parameter processing module, a track mileage calibration analysis module and a track mileage calibration execution module; based on numerical analysis science, track static and dynamic waveform sampling frequency consistency is detected, and meanwhile, an interpolation algorithm is combined to carry out track geometric static waveform sampling frequency intelligent adjustment, so that track geometric waveform sampling frequency autonomous identification and correction in track geometric dynamic waveform mileage calibration are realized; track mileage calibration algorithm type fine matching is carried out on the basis of the static and dynamic waveform combination information of the track and the static and dynamic waveform combination information of the standard track corresponding to different track mileage calibration algorithms based on big data storage in combination with an artificial intelligence bionic algorithm, and the precision of track geometric dynamic waveform mileage calibration is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of track characteristic data analysis, and in particular to a track mileage calibration method and system based on track geometry dynamic and static waveform matching. Background Art

[0002] Track geometry refers to the geometric shape, relative position and basic dimensions of each part 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 vehicles are in operation, 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 the precise calibration of track geometry parameters and mileage correction. The track dynamic geometry waveform diagram is a spatial distribution curve of track geometry parameters collected and drawn in real time along the length of the track by dynamic detection equipment, which intuitively reflects the dynamic change characteristics of track geometry. The existing track mileage calibration process cannot intelligently adjust the frequency of the track geometry dynamic and static waveforms, nor can it intelligently select the type of track mileage calibration algorithm based on the characteristics of the track geometry dynamic and static waveforms, which reduces the accuracy of track mileage calibration.

[0003] The Chinese invention patent with announcement number CN118797532B discloses a multimodal fusion intelligent detection system for monitoring railway track contact network suspension. By collecting multiple sampling points on the contact network suspension, an initialization composite data matrix of the contact network suspension is constructed; nonlinear feature extraction and dimensionality reduction are performed on the initialization composite data matrix to obtain a reduced dimensionality feature matrix; based on the tension estimation result and displacement function, the abnormal state index of the contact network suspension is calculated and the abnormal judgment interval is defined; the above technical solution cannot intelligently select the data processing algorithm type for the track contact network suspension data parameters. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In order to solve the problem that the above-mentioned existing track mileage calibration process cannot intelligently adjust the frequency of the track geometry dynamic and static waveforms, and cannot intelligently select the track mileage calibration algorithm type based on the track geometry dynamic and static waveform characteristics, thereby reducing the accuracy of the track mileage calibration, the above-mentioned purpose of collecting track geometry dynamic and static waveform parameters, intelligently judging the consistency of the track geometry dynamic and static waveform sampling frequency, intelligently adjusting the track geometry static waveform at the same frequency, scientifically generating track geometry dynamic and static waveform combination parameters, intelligently selecting the track mileage calibration algorithm type, and accurately calibrating the track geometry dynamic waveform mileage parameters is achieved.

[0006] (2) Technical solution

[0007] The present invention is implemented 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. Collecting track geometry static waveform data and track geometry dynamic waveform data;

[0009] S2. performing 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, and generating track geometry static waveform frequency data and track geometry dynamic waveform frequency data;

[0010] S3. Perform consistency judgment processing on the sampling frequencies of the track static and dynamic waveforms based on the track geometry static waveform frequency data and the track geometry dynamic waveform frequency data to generate track geometry static and dynamic waveform sampling frequency consistency judgment data; if the frequencies are the same, directly execute step S5;

[0011] S4. When the frequencies are different, performing a sampling frequency adjustment process on the track geometry static waveform based on the track geometry static waveform data, the track geometry static waveform frequency data, and the track geometry dynamic waveform frequency data to generate track geometry static waveform adjustment data;

[0012] S5. Performing 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;

[0013] S6. Performing track mileage calibration algorithm type matching processing based on the 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 to generate target track mileage calibration algorithm type characteristic data;

[0014] S7. Construct track mileage calibration summary data to perform track mileage calibration processing on track geometry dynamic waveform parameters to generate track geometry dynamic waveform calibration data.

[0015] Preferably, the steps of collecting track geometry static waveform data and track geometry dynamic waveform data are as follows:

[0016] S11. Use the track inspection vehicle equipped with track static detection equipment to measure and process track geometry parameters at different mileage positions on the track when the track is not in operation, and generate track geometry static waveform data. The track geometry static waveform data represents a combination of mileage parameters and track physical geometry parameters established with the mileage parameters in the track length direction as the 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 track direction parameters, track gauge parameters, and track horizontal geometry parameters.

[0017] The track inspection vehicle is equipped with track dynamic detection equipment to measure and process track geometry parameters at different mileage positions under the track driving state, and generate track geometry dynamic waveform data The track geometry dynamic waveform data represents the combined parameters of the mileage parameters and the track physical geometry parameters established with the mileage parameters in the track length direction as the one-dimensional coordinate axis under the track driving state. The track dynamic detection equipment includes a gyroscope, an accelerometer, a laser rangefinder and an inclination sensor.

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

[0019] S21, the generated track geometry static waveform data and the track geometry dynamic waveform data Import them into the track supervision platform respectively, and use a two-way search algorithm to search for the data sampling frequency information corresponding to the target track geometry static waveform and the target track geometry dynamic waveform in the track supervision platform according to the frequency keyword, and generate the track geometry static waveform frequency data and track geometry dynamic waveform frequency data ,in and The unit is Hertz.

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

[0021] S31. Obtaining the track geometry static waveform frequency data and the track geometry dynamic waveform frequency data ;

[0022] S32, the track geometry static waveform frequency data Dynamic waveform frequency data with the track geometry Perform waveform frequency numerical comparison and generate track geometry static and dynamic waveform sampling frequency consistency judgment data based on the waveform frequency numerical comparison results ;

[0023] when and The waveform frequency value comparison is successful, indicating that the sampling frequencies of the collected track geometry static waveform and the track geometry dynamic waveform are consistent, and the track geometry static and dynamic waveform sampling frequency consistency judgment data is output. If the frequencies are the same, then directly execute step S5;

[0024] when and If the waveform frequency value comparison is unsuccessful, it means that the sampling frequencies of the collected track geometry static waveform and the track geometry dynamic waveform are inconsistent, then the track geometry static and dynamic waveform sampling frequency consistency judgment data is output. Because the frequencies are different.

[0025] Preferably, when the frequencies are different, the sampling frequency adjustment processing of the track geometry static waveform is performed based on the track geometry static waveform data, the track geometry static waveform frequency data, and the track geometry dynamic waveform frequency data to generate the track geometry static waveform adjustment data in the following steps:

[0026] S41, when the track geometry static and dynamic waveform sampling frequency consistency judgment data When the frequencies are different, the linear difference algorithm is used to convert the track geometry static waveform data The track geometry static waveform frequency data Dynamic waveform frequency data according to the track geometry Perform waveform frequency numerical adjustment processing and generate track geometry static waveform adjustment data .

[0027] Preferably, the operation steps of performing 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 are as follows:

[0028] S51, the generated track geometry static waveform data Or the track geometry static waveform adjustment data and the track geometry dynamic waveform data The corresponding geometric waveforms are aligned up and down according to the mileage parameters as the reference system, and the track geometry static and dynamic waveform combination data are constructed. ,in or ;

[0029] Preferably, the operation steps of performing 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 characteristic data are as follows:

[0030] S61. Establish a data matrix of static and dynamic waveform combinations corresponding to standard track geometry for different track mileage calibration algorithms , ;in Indicates the Different track mileage calibration algorithms corresponding to different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data, Indicates 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 value 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, combining the track geometry static and dynamic waveform data 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 in the standard track geometry static and dynamic waveform combination data Perform track geometry static and dynamic waveform image matching to search for combined data with the track geometry static and dynamic waveform The matching different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data The corresponding track mileage calibration algorithm type text information, and generate the target track mileage calibration algorithm type feature data through data identification , execute and generate the target track mileage calibration algorithm type characteristic data The specific steps are as follows:

[0032] S621, initialization, update the maximum number of iterations T of the algorithm and randomly initialize the calibration algorithm in the optimization space to search for the position of the osprey population. The position initialization formula is ,in Represents the calibration algorithm to search for Osprey In the spatial dimension 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, The combined data matrix of static and dynamic waveforms of standard track geometry corresponding to the different track mileage calibration algorithms is shown in FIG. The lower bound in the search space of The combined data matrix of static and dynamic waveforms of standard track geometry corresponding to the different track mileage calibration algorithms is shown in FIG. The upper bound in the search space of Represents a random number in the interval [0,1];

[0033] S622, exploration phase, the exploration phase of the calibration algorithm to search for osprey population updates is based on the simulation of the natural behavior of the calibration algorithm to search for ospreys, and the calibration algorithm searches for ospreys in the different orbital mileage calibration algorithm corresponding to the standard orbit geometry static and dynamic waveform combination data matrix Random detection in the search space with the track geometry combined with static and dynamic waveform data The matching different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data The position of the osprey is attacked, and the calibration algorithm is simulated to search for the osprey's movement towards the target, and the corresponding calibration algorithm is updated to search for the osprey's new position. The calibration algorithm searches for the osprey's position update formula. ,in Indicates that the algorithm is calibrated to search for Osprey during the exploration phase After updating, 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 of Represents the calibration algorithm to search for Osprey on different orbital mileage calibration algorithms corresponding to standard orbital geometry static and dynamic waveform combination data matrix The search space is selected with the track geometry static and dynamic waveform combination data The matching different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data Target; Represents a constant with a value of 1 or 2; if the updated new position is better, the calibration algorithm searches for the initial position of the Osprey before the update according to the position replacement formula in the exploration phase. The position replacement formula in the exploration phase is ,in Represents the exploration phase calibration algorithm to search for Osprey After updating, 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 of ; express The different track mileage calibration algorithms at the position correspond to the standard track geometry static and dynamic waveform combination data Combined static and dynamic waveform data with the track geometry The fitness value of express The different track mileage calibration algorithms at the position correspond to the standard track geometry static and dynamic waveform combination data Combined static and dynamic waveform data with the track geometry The fitness value of

[0034] S623, development phase, calibration algorithm searches for Osprey in the different track mileage calibration algorithm corresponding to the standard track geometry static and dynamic waveform combination data matrix Hunt and consume the combined data of static and dynamic waveforms with the track geometry in the search space The matching different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data The development phase of the algorithm calibration algorithm search osprey population update is based on modeling the simulation of the natural behavior of the calibration algorithm search osprey, calculating new random positions as suitable for edible combined with the track geometry static and dynamic waveform data The matching different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data The target's position is calculated by combining the new suitable edible static and dynamic waveform data with the track geometry. The matching different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data The formula for the target's position ,in Indicates that the algorithm is calibrated during the development phase to search for Osprey After updating, the spatial dimension is The different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data matrix A new random position in the search space is used as a suitable edible combined data with the track geometry static and dynamic waveforms The matching different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data The location of the target, Represents the number of iterations of the current algorithm; if the value of the objective function is improved at this new position, the calibration algorithm searches for the initial position before the Osprey update according to the position replacement formula in the development phase. The position replacement formula in the development phase is in Indicates that the algorithm is calibrated during the development phase to search for Osprey After updating, 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 of ; express The different track mileage calibration algorithms at the position correspond to the standard track geometry static and dynamic waveform combination data Combined static and dynamic waveform data with the track geometry The fitness value of

[0035] S624: When the algorithm meets the maximum number of iterations, output the combined data of the static and dynamic waveforms of the track geometry. The best matching different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data Otherwise, continue to execute steps S622 to S623 until the maximum number of iterations is met;

[0036] S625, combining the track geometry static and dynamic waveform data output in step S624 The best matching different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data The corresponding track mileage calibration algorithm type text information, and generate the target track mileage calibration algorithm type feature data through data identification .

[0037] Preferably, the track mileage calibration summary data is constructed to perform track mileage calibration processing of track geometry dynamic waveform parameters, and the operating steps for generating track geometry dynamic waveform calibration data are as follows:

[0038] S71, combining the track geometry static and dynamic waveform data , the target track mileage calibration algorithm type characteristic data Data combination is performed to construct track mileage calibration summary data ,in ;

[0039] S72: The track supervision platform calibrates the algorithm type characteristic data based on the target track mileage. The corresponding track mileage calibration algorithm characteristic information calls the corresponding track mileage calibration program to extract the track mileage calibration summary data Internal track geometry static and dynamic waveform combined data The geometric dynamic waveform and geometric static waveform feature information aligned in the same mileage interval are used to determine the track geometric dynamic waveform data. Perform track mileage calibration of track geometry dynamic waveform parameters and generate track geometry 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 collects track geometry static waveform data through the track static detection equipment carried by the track inspection vehicle; the track geometry dynamic waveform parameter acquisition unit collects track geometry dynamic waveform data through the track dynamic detection equipment carried by the track inspection vehicle; the track geometry static and dynamic waveform sampling frequency measurement unit performs measurement processing of the track geometry static and dynamic waveform sampling frequencies based on the track geometry static waveform data and the track geometry dynamic waveform data in combination with the track supervision 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, the track geometry static waveform frequency data, and the 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 track geometry static and dynamic waveform combination parameter storage unit corresponding to the standard track geometry static and dynamic waveforms of different track mileage calibration algorithms is used to store the standard track geometry static and dynamic waveform combination data corresponding to the 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 the different track mileage calibration algorithms to generate target track mileage calibration algorithm type characteristic 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 track geometry static and dynamic waveform combination parameters and the target track mileage calibration algorithm type characteristic information in combination with data processing; the track mileage calibration execution unit, the track supervision platform calls the corresponding track mileage calibration program according to the track mileage calibration algorithm characteristic information corresponding to the target track mileage calibration algorithm type characteristic data to extract the geometric dynamic waveform and geometric static waveform characteristic information aligned in the same mileage interval in the track geometry static and dynamic waveform combination data within the track mileage calibration summary data, performs track mileage calibration processing of the track geometry dynamic waveform parameters on the track geometry dynamic waveform data, and generates track geometry dynamic waveform calibration data.

[0047] (3) Beneficial effects

[0048] The present invention provides a track mileage calibration method and system based on track geometry dynamic and static waveform matching. It has the following beneficial effects:

[0049] 1. The track inspection vehicle is equipped with static and dynamic track detection equipment to efficiently and accurately obtain the track geometry static and dynamic waveform parameters in both non-operating and operating states, providing reliable data support for the accurate calibration of track geometry dynamic waveform parameters; based on the track geometry static waveform information and track geometry dynamic waveform information combined with intelligent search algorithms, the track geometry static and dynamic waveform sampling frequency information is efficiently and accurately obtained on the track supervision platform, realizing efficient measurement of the track geometry static and dynamic waveform sampling frequency; based on numerical analysis, the consistency of the track static and dynamic waveform sampling frequency is scientifically detected, and the sampling frequency of the track geometry static waveform is intelligently adjusted in combination with the interpolation algorithm, realizing autonomous identification and correction of the track geometry waveform sampling frequency in the track geometry dynamic waveform mileage calibration, thereby improving the efficiency and accuracy of the track geometry dynamic waveform mileage calibration.

[0050] 2. By scientifically constructing the track geometry static and dynamic waveform parameter combination information based on the track geometry static waveform information or the track geometry static waveform adjustment information and the track geometry dynamic waveform information in combination with numerical analysis, reliable data support is provided for the accurate screening of track mileage calibration algorithm objects; based on the track geometry static and dynamic waveform combination information combined with the artificial intelligence bionic algorithm and the 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, so as to realize the flexible and accurate screening of the optimal track mileage calibration algorithm object based on the track geometry static and dynamic waveform characteristics, and improve the accuracy of track geometry dynamic waveform mileage calibration.

[0051] 3. By scientifically constructing the summary information of track mileage calibration based on data analysis, efficient and accurate collection of track geometry dynamic waveform mileage calibration data can be achieved. At the same time, combined with the track supervision platform, the track geometry dynamic waveform information can be autonomously and accurately processed and output for track mileage calibration, realizing the autonomous operation output of the track geometry dynamic waveform mileage calibration process, and improving the reliability and applicability of the track geometry dynamic waveform mileage calibration. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0053] Figure 2 Flowchart of the track mileage calibration method based on track geometry dynamic and static waveform matching provided by the present invention. DETAILED DESCRIPTION

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0055] The embodiments of the track mileage calibration method and system based on track geometry dynamic and static waveform matching are as follows:

[0056] Example 1:

[0057] See also Figure 1-Figure 2 A track mileage calibration method based on track geometry dynamic and static waveform matching includes the following steps:

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

[0059] S2. performing 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, and generating track geometry static waveform frequency data and track geometry dynamic waveform frequency data;

[0060] S3. Perform consistency judgment processing on the sampling frequencies of the track static and dynamic waveforms based on the track geometry static waveform frequency data and the track geometry dynamic waveform frequency data to generate track geometry static and dynamic waveform sampling frequency consistency judgment data; if the frequencies are the same, directly execute step S5;

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

[0062] S5. Performing 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;

[0063] S6. Performing 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 characteristic data;

[0064] S7. Construct track mileage calibration summary data to perform track mileage calibration processing on track geometry dynamic waveform parameters to generate track geometry dynamic waveform calibration data.

[0065] For further information, see Figure 1-Figure 2 The steps for collecting track geometry static waveform data and track geometry dynamic waveform data are as follows:

[0066] S11. Use the track inspection vehicle equipped with track static detection equipment to measure and process track geometry parameters at different mileage positions on the track when the track is not in operation, and generate track geometry static waveform data. The track geometry static waveform data represents the combined parameters of the mileage parameters and the track physical geometry parameters established with the mileage parameters in the track length direction as the 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 direction parameters, the track gauge parameters, and the track horizontal geometry parameters.

[0067] The track inspection vehicle is equipped with track dynamic detection equipment to measure and process track geometry parameters at different mileage positions under the track driving state, and generate track geometry dynamic waveform data The track geometry dynamic waveform data represents the combined parameters of the mileage parameters and the track physical geometry parameters established with the mileage parameters in the track length direction as the one-dimensional coordinate axis under the track driving state. The track dynamic detection equipment includes a gyroscope, an accelerometer, a laser rangefinder and an inclination sensor.

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

[0069] S21, generate the track geometry static waveform data and track geometry dynamic waveform data Import them into the track supervision platform respectively, and use a two-way search algorithm to search for the data sampling frequency information corresponding to the target track geometry static waveform and the target track geometry dynamic waveform in the track supervision platform according to the frequency keyword, and generate the track geometry static waveform frequency data and track geometry dynamic waveform frequency data ,in and The unit is Hertz.

[0070] Based on the track geometry static waveform frequency data and the track geometry dynamic waveform frequency data, the track static and dynamic waveform sampling frequency consistency judgment processing is performed 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:

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

[0072] S32, track geometry static waveform frequency data Dynamic waveform frequency data with track geometry Perform waveform frequency numerical comparison and generate track geometry static and dynamic waveform sampling frequency consistency judgment data based on the waveform frequency numerical comparison results ;

[0073] when and The waveform frequency value comparison is successful, indicating that the sampling frequencies of the collected track geometry static waveform and track geometry dynamic waveform are consistent, and the track geometry static and dynamic waveform sampling frequency consistency judgment data is output. If the frequencies are the same, then directly execute step S5;

[0074] when and If the waveform frequency value comparison is unsuccessful, it means that the sampling frequencies of the collected track geometry static waveform and track geometry dynamic waveform are inconsistent, then the track geometry static and dynamic waveform sampling frequency consistency judgment data will be output. Because the frequencies are different.

[0075] When the frequencies are different, the sampling frequency of the track geometry static waveform is adjusted based on the track geometry static waveform data, the track geometry static waveform frequency data, and the track geometry dynamic waveform frequency data. The steps for generating the track geometry static waveform adjustment data are as follows:

[0076] S41, when the track geometry static and dynamic waveform sampling frequency consistency judgment data When the frequencies are different, the linear difference algorithm is used to convert the track geometry static waveform data into Track geometry static waveform frequency data Dynamic waveform frequency data according to track geometry Perform waveform frequency numerical adjustment processing and generate track geometry static waveform adjustment data .

[0077] Through the cooperation of the track geometry static waveform parameter acquisition unit and the track geometry dynamic waveform parameter acquisition unit, the track inspection vehicle is equipped with track static and dynamic detection equipment to efficiently and accurately obtain the track geometry static and dynamic waveform parameters in both non-operating and operating states, providing reliable data support for the accurate calibration of the track geometry dynamic waveform parameters; the track geometry static and dynamic waveform sampling frequency measurement unit, based on the track geometry static waveform information and track geometry dynamic waveform information combined with intelligent search algorithms, efficiently and accurately obtains the track geometry static and dynamic waveform sampling frequency information on the track supervision platform, realizing efficient measurement of the track geometry static and dynamic waveform sampling frequency; the track geometry static and dynamic waveform sampling frequency consistency judgment unit and the track geometry static waveform sampling frequency adjustment unit cooperate with each other, scientifically detect the consistency of the track static and dynamic waveform sampling frequency based on numerical analysis, and at the same time combine the interpolation algorithm to perform intelligent adjustment of the sampling frequency of the track geometry static waveform, realizing autonomous identification and correction of the track geometry waveform sampling frequency in the track geometry dynamic waveform mileage calibration, and improving the efficiency and accuracy of the track geometry dynamic waveform mileage calibration.

[0078] For further information, see Figure 1-Figure 2 The steps for performing combined processing of 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 to construct combined track geometry static and dynamic waveform data are as follows:

[0079] S51, generate the track geometry static waveform data Or track geometry static waveform adjustment data and track geometry dynamic waveform data The corresponding geometric waveforms are aligned up and down according to the mileage parameters as the reference system, and the track geometry static and dynamic waveform combination data are constructed. ,in or ;

[0080] The following steps are used to perform track mileage calibration algorithm type matching 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 to generate target track mileage calibration algorithm type feature data:

[0081] S61. Establish a data matrix of static and dynamic waveform combinations corresponding to standard track geometry for different track mileage calibration algorithms , ;in Indicates the Different track mileage calibration algorithms corresponding to different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data, Indicates 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 value 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, combining track geometry static and dynamic waveform data Combined data matrix of static and dynamic waveforms of standard track geometry corresponding to different track mileage calibration algorithms Standard track geometry static and dynamic waveform combination data corresponding to different track mileage calibration algorithms Perform track geometry static and dynamic waveform image matching to search for combined data with track geometry static and dynamic waveforms Matching different track mileage calibration algorithms corresponding to standard track geometry static and dynamic waveform combination data The corresponding track mileage calibration algorithm type text information, and generate the target track mileage calibration algorithm type feature data through data identification , execute the target track mileage calibration algorithm type feature data The specific steps are as follows:

[0083] S621, initialization, update the maximum number of iterations T of the algorithm and randomly initialize the calibration algorithm in the optimization space to search for the position of the osprey population. The position initialization formula is ,in Represents the calibration algorithm to search for Osprey In the spatial dimension Different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data matrix The position in the search space of Represents the combined data matrix of static and dynamic waveforms of standard track geometry corresponding to different track mileage calibration algorithms The lower bound in the search space of Represents the combined data matrix of static and dynamic waveforms of standard track geometry corresponding to different track mileage calibration algorithms The upper bound in the search space of Represents a random number in the range [0,1];

[0084] S622, exploration phase, the exploration phase of the calibration algorithm to search for osprey population updates is based on the simulation of the natural behavior of the calibration algorithm to search for ospreys. The calibration algorithm searches for ospreys at different orbital mileages. The calibration algorithm corresponds to the standard orbit geometry static and dynamic waveform combination data matrix. Random detection in the search space and track geometry static and dynamic waveform combination data Matching different track mileage calibration algorithms corresponding to standard track geometry static and dynamic waveform combination data The position of the osprey is attacked, and the calibration algorithm is simulated to search for the osprey's movement towards the target, and the corresponding calibration algorithm is updated to search for the osprey's new position. The calibration algorithm searches for the osprey's position update formula. ,in Indicates that the algorithm is calibrated to search for Osprey during the exploration phase After updating, the spatial dimension is Different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data matrix The position in the search space of Represents the calibration algorithm to search for Osprey in different orbital mileage calibration algorithms corresponding to standard orbital geometry static and dynamic waveform combination data matrix The combined data of static and dynamic waveforms with track geometry are selected in the search space Matching different track mileage calibration algorithms corresponding to standard track geometry static and dynamic waveform combination data Target; Represents a constant with a value of 1 or 2; if the updated new position is better, the calibration algorithm searches for the initial position of the Osprey before the update according to the position replacement formula in the exploration phase. The position replacement formula in the exploration phase is ,in Represents the exploration phase calibration algorithm to search for Osprey After updating, the spatial dimension is Different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data matrix The optimal position in the search space of ; 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 The fitness value of 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 The fitness value of

[0085] S623, development phase, calibration algorithm search Osprey in different orbit mileage calibration algorithm corresponding to the standard orbit geometry static and dynamic waveform combination data matrix Hunting and consuming combined data of orbital geometry, static and dynamic waveforms in the search space Matching different track mileage calibration algorithms corresponding to standard track geometry static and dynamic waveform combination data The development phase of the algorithm calibration algorithm search osprey population update is based on modeling the simulation of the natural behavior of the calibration algorithm search osprey, calculating new random positions as suitable for consumption and combining data with the static and dynamic waveforms of the track geometry. Matching different track mileage calibration algorithms corresponding to standard track geometry static and dynamic waveform combination data The target's position is calculated, and new edible combined data with the track geometry static and dynamic waveforms are calculated. Matching different track mileage calibration algorithms corresponding to standard track geometry static and dynamic waveform combination data The formula for the target's position ,in Indicates that the algorithm is calibrated during the development phase to search for Osprey After updating, the spatial dimension is Different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data matrix A new random position in the search space is used as a combination of static and dynamic waveform data with track geometry Matching different track mileage calibration algorithms corresponding to standard track geometry static and dynamic waveform combination data The location of the target, Represents the number of iterations of the current algorithm; if the value of the objective function is improved at this new position, the calibration algorithm searches for the initial position before the Osprey update according to the position replacement formula in the development phase. The position replacement formula in the development phase is in Indicates that the algorithm is calibrated during the development phase to search for Osprey After updating, the spatial dimension is Different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data matrix The optimal position in the search space of ; 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 The fitness value of

[0086] S624, when the algorithm meets the maximum number of iterations, output the combined data of static and dynamic waveforms of the track geometry The best matching different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data Otherwise, continue to execute steps S622 to S623 until the maximum number of iterations is met;

[0087] S625, combining the track geometry static and dynamic waveform data output in step S624 The best matching different track mileage calibration algorithms correspond to the standard track geometry static and dynamic waveform combination data The corresponding track mileage calibration algorithm type text information, and generate the target track mileage calibration algorithm type feature data through data identification .

[0088] Through the track geometry static and dynamic waveform combination parameter generation unit, the track geometry static and dynamic waveform parameter combination information is scientifically constructed according to the track geometry static waveform information or the track geometry static waveform adjustment information, the track geometry dynamic waveform information and the numerical analysis, providing reliable data support for the accurate screening of track mileage calibration algorithm objects; the track mileage calibration algorithm type matching unit performs fine matching of the track mileage calibration algorithm type based on the track geometry static and dynamic waveform combination information combined with the artificial intelligence bionic algorithm and the standard track geometry static and dynamic waveform combination information corresponding to different track mileage calibration algorithms based on big data storage, so as to realize the flexible and accurate screening of the optimal track mileage calibration algorithm object based on the track geometry static and dynamic waveform characteristics, and improve the accuracy of track geometry dynamic waveform mileage calibration.

[0089] For further information, see Figure 1-Figure 2 , construct the track mileage calibration summary data to perform track mileage calibration processing of track geometry dynamic waveform parameters. The steps for generating track geometry dynamic waveform calibration data are as follows:

[0090] S71, combining track geometry static and dynamic waveform data , target track mileage calibration algorithm type characteristic data Data combination is performed to construct track mileage calibration summary data ,in ;

[0091] S72, track supervision 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 track geometry static and dynamic waveform combined data The geometric dynamic waveform and geometric static waveform feature information aligned in the same mileage interval are used to analyze the track geometric dynamic waveform data. Perform track mileage calibration of track geometry dynamic waveform parameters and generate track geometry dynamic waveform calibration data .

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

[0093] Example 2:

[0094] See also Figure 1-Figure 2 The 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.

[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 track geometry static waveform parameter acquisition unit collects track geometry static waveform data through the track static detection equipment carried by the track inspection vehicle; the track geometry dynamic waveform parameter acquisition unit collects track geometry dynamic waveform data through the track dynamic detection equipment carried by the track inspection vehicle; the track geometry static and dynamic waveform sampling frequency measurement unit measures and processes the sampling frequency of the track geometry static and dynamic waveforms based on the track geometry static waveform data and the track geometry dynamic waveform data in combination with the track supervision 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 adjusts the sampling frequency of the track geometry static waveform based on the track geometry static waveform data, the track geometry static waveform frequency data and the 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] a track geometry static and dynamic waveform combination parameter generation unit, which 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; a track geometry static and dynamic waveform combination parameter storage unit corresponding to standard track geometry static and dynamic waveforms of different track mileage calibration algorithms, which is used to store the standard track geometry static and dynamic waveform combination data corresponding to different track mileage calibration algorithms; a track mileage calibration algorithm type matching unit, which 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 characteristic 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 the track mileage calibration summary data based on the track geometry static and dynamic waveform combination parameters and the target track mileage calibration algorithm type characteristic information combined with data processing; the track mileage calibration execution unit, the track supervision platform calls the corresponding track mileage calibration program according to the track mileage calibration algorithm characteristic information corresponding to the target track mileage calibration algorithm type characteristic data to extract the geometric dynamic waveform and geometric static waveform characteristic information aligned in the same mileage interval in the track geometry static and dynamic waveform combination data within the track mileage calibration summary data, performs track mileage calibration processing of the track geometry dynamic waveform parameters on the track geometry dynamic waveform data, and generates track geometry dynamic waveform calibration data.

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

Claims

1. Track mileage calibration method based on track geometry dynamic and static waveform matching, characterized by: The method comprises the following steps: S1. Collecting track geometry static waveform data and track geometry dynamic waveform data; S2. Perform sampling frequency measurement processing on 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 frequencies of the track static and dynamic waveforms to generate consistency judgment data on the sampling frequencies of the track geometry static and dynamic waveforms; if the frequencies are the same, directly execute step S5; S4. When the frequencies are different, performing a sampling frequency adjustment process on the track geometry static waveform to generate track geometry static waveform adjustment data; S5. Performing 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 characteristic data; S7. Construct track mileage calibration summary data to perform track mileage calibration processing on track geometry dynamic waveform parameters to generate track geometry dynamic waveform calibration data.

2. The track mileage calibration method based on track geometry dynamic and static waveform matching according to claim 1 is characterized by: Said S1 comprises the following steps: S11. Use the track inspection vehicle equipped with track static detection equipment to measure and process track geometry parameters at different mileage positions on the track when the track is not in operation, and generate track geometry static waveform data. ; The track inspection vehicle is equipped with track dynamic detection equipment to measure and process track geometry parameters at different mileage positions under the track driving state, and generate track geometry dynamic waveform data .

3. The track mileage calibration method based on track geometry dynamic and static waveform matching according to claim 2 is characterized by: The S2 comprises the following steps: S21, the generated and stated Import them into the track supervision platform respectively, and use a two-way search algorithm to search for the data sampling frequency information corresponding to the target track geometry static waveform and the target track geometry dynamic waveform in the track supervision platform according to the frequency keyword, and generate the track geometry static waveform frequency data and track geometry dynamic waveform frequency data ,in and The unit is Hertz.

4. The track mileage calibration method based on track geometry dynamic and static waveform matching according to claim 3 is characterized by: The 31 includes the following steps: S31, obtain the and stated ; S32, the With the Perform waveform frequency numerical comparison and generate track geometry static and dynamic waveform sampling frequency consistency judgment data based on the waveform frequency numerical comparison results ; when and If the waveform frequency value is successfully compared, the output is If the frequencies are the same, then directly execute step S5; when and If the waveform frequency value comparison fails, the output is Because the frequencies are different.

5. The track mileage calibration method based on track geometry dynamic and static waveform matching according to claim 4 is characterized in that: The S4 comprises the following steps: S41, when the When the frequencies are different, a linear difference algorithm is used to The As described 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 is characterized in that: The S5 comprises the following steps: S51, the generated or the and the track geometry dynamic waveform data The corresponding geometric waveforms are aligned up and down according to the mileage parameters as the reference system, and the track geometry static and dynamic waveform combination data are constructed. ,in or .

7. The track mileage calibration method based on track geometry dynamic and static waveform matching according to claim 6 is characterized in that: The S6 comprises the following steps: S61. Establish a data matrix of static and dynamic waveform combinations corresponding to standard track geometry for different track mileage calibration algorithms , ;in Indicates the Different track mileage calibration algorithms corresponding to different track mileage calibration algorithms correspond to standard track geometry static and dynamic waveform combination data, Indicates the maximum number of track mileage calibration algorithm types; S62, the With the As stated in Perform track geometry static and dynamic waveform image matching to search for the Matching the The corresponding track mileage calibration algorithm type text information, and generate the target track mileage calibration algorithm type feature data through data identification , execute and generate the target track mileage calibration algorithm type characteristic data The specific steps are as follows: S621, initialization, updating the maximum number of iterations T of the algorithm and randomly initializing the calibration algorithm in the optimization space to search for the location of the osprey population; S622, exploration phase, the exploration phase of the calibration algorithm searching for osprey population updates is based on the simulation of the natural behavior of the calibration algorithm searching for ospreys, and the calibration algorithm searching for ospreys is described in Random detection in the search space and the Matching the The target is moved to the target by the simulated calibration algorithm, and the corresponding calibration algorithm is updated to search for the new position of the osprey. If the updated new position is better, the calibration algorithm is used to replace the initial position of the osprey before the update according to the position replacement formula in the exploration phase. S623, development phase, calibration algorithm search Osprey in the Hunt and eat the same Matching the Objective, the development phase of the algorithm calibration algorithm search osprey population update is based on the simulation of the natural behavior of the calibration algorithm search osprey, calculate the new random position as suitable for eating with the said Matching the The target position is calculated, and the new suitable edible Matching the The position of the target; if the value of the objective function is improved at this new position, replace the calibration algorithm according to the position replacement formula in the development phase to search for the initial position of the Osprey before the update; S624, when the algorithm meets the maximum number of iterations, the output is the same as the The best match Otherwise, continue to execute steps S622 to S623 until the maximum number of iterations is met; S625, the output in step S624 and the The best match The corresponding track mileage calibration algorithm type text information, and generate the target track mileage calibration algorithm type feature data through data identification .

8. The track mileage calibration method based on track geometry dynamic and static waveform matching according to claim 7 is characterized in that: The S7 comprises the following steps: S71, the 、 Data combination is performed to construct track mileage calibration summary data ; S72, the rail supervision platform is based on the The corresponding track mileage calibration algorithm feature information calls the corresponding track mileage calibration program to extract the Internal The geometric dynamic waveform and geometric static waveform feature information aligned in the same mileage interval are used to Perform track mileage calibration of track geometry dynamic waveform parameters and generate track geometry dynamic waveform calibration data .

9. 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 according to any one of claims 1 to 8, 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.

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