Railway track quality status assessment method, device and computer equipment

Abstract

The present application relates to a railway track quality status assessment method, device, computer equipment, railway track quality status assessment system and storage medium. The method comprises: obtaining geometric dynamic detection data of a section of the railway track to be assessed at a first moment; based on a track irregularity quality index evaluation algorithm, performing calculations based on the geometric dynamic detection data of the section to be assessed at the first moment to obtain the track irregularity quality index of the section to be assessed at the first moment; performing calculations based on the track irregularity quality index and amplification factor of the section to be assessed at the first moment to obtain a track quality status index; the amplification factor is determined based on the track quality degradation rate of the section to be assessed during the tamping cycle and the standard value of the track quality degradation rate; and evaluating the track quality status of the section to be assessed based on the track quality status index. The use of this method can improve the accuracy of railway track quality status assessment and improve the scientificity and economy of maintenance plans.

Description

Technical Field

[0001] The present application relates to the field of railway engineering technology, and in particular to a railway track quality status assessment method, device, computer equipment, railway track quality status assessment system and storage medium. Background Art

[0002] Railways are the main arteries of transportation, and ballasted track structures remain the predominant track type in my country. Large-scale tamping, as an effective means of eliminating track irregularities in sections, has become a key maintenance method for ballasted railways in my country. With the widespread use of track inspection equipment such as track inspection vehicles and comprehensive inspection vehicles, a large amount of track geometry and dynamic inspection data has been accumulated. Traditionally, track quality status has been directly assessed using a track irregularity quality index derived from this data. However, these traditional methods cannot accurately assess track quality, impacting the smoothness and safety of train operations and the timeliness of track maintenance. Summary of the Invention

[0003] Based on this, it is necessary to provide a railway track quality status assessment method, device, computer equipment, railway track quality status assessment system and storage medium that can accurately assess the track quality status in response to the above technical problems.

[0004] In a first aspect, a method for evaluating railway track quality status is provided, the method comprising:

[0005] Acquiring geometric dynamic detection data of the section to be evaluated of the railway track at a first moment;

[0006] Based on the track irregularity quality index evaluation algorithm, the track irregularity quality index of the section to be evaluated at the first moment is calculated according to the geometric dynamic detection data of the section to be evaluated at the first moment;

[0007] The track quality status index is calculated based on the track irregularity quality index and amplification factor of the section to be evaluated at the first moment; the amplification factor is determined based on the track quality degradation rate of the section to be evaluated during the tamping cycle and the standard value of the track quality degradation rate;

[0008] According to the track quality status indicators, evaluate the track quality status of the section to be evaluated.

[0009] In one embodiment, the step of calculating the track irregularity quality index and the amplification factor of the section to be evaluated at the first moment includes: obtaining geometric dynamic detection data of each section of the railway track during the tamping cycle; performing a statistical analysis of the track quality degradation rate based on the geometric dynamic detection data of each section during the tamping cycle to obtain a standard value of the track quality degradation rate; and calculating based on the track quality degradation rate and the standard value of the track quality degradation rate to obtain the amplification factor.

[0010] In one embodiment, the step of calculating based on the track quality degradation rate and the standard value of the track quality degradation rate includes: based on the track irregularity quality index evaluation algorithm, calculating according to various geometric dynamic detection data of the section to be evaluated during the tamping cycle, and obtaining various track irregularity quality indexes of the section to be evaluated during the tamping cycle; calculating according to various track irregularity quality indexes of the section to be evaluated during the tamping cycle, and obtaining the track quality degradation rate.

[0011] In one embodiment, the step of evaluating the track quality status of the section to be evaluated according to the track quality status indicator includes: if the track quality status indicator is greater than a quality status indicator threshold, the track quality status is abnormal; if the track quality status indicator is less than or equal to the quality status indicator threshold, the track quality status is normal.

[0012] In one embodiment, the step of evaluating the track quality status of the section to be evaluated according to the track quality status indicator further includes: if the track quality status is abnormal, issuing a railway track maintenance warning.

[0013] In one embodiment, the geometric dynamic detection data includes left track height data, right track height data, left track direction data, right track direction data, track gauge data, horizontal data and triangular pit data.

[0014] In a second aspect, a railway track quality status assessment device is provided, the device comprising a first data acquisition module, a first data calculation module, a first data calculation module and a quality status assessment module.

[0015] Among them, the first data acquisition module is used to obtain the geometric dynamic detection data of the section to be evaluated of the railway track at the first moment; the first data calculation module is used to calculate based on the track irregularity quality index evaluation algorithm according to the geometric dynamic detection data of the section to be evaluated at the first moment, and obtain the track irregularity quality index of the section to be evaluated at the first moment; the second data calculation module is used to calculate according to the track irregularity quality index and the amplification factor of the section to be evaluated at the first moment, and obtain the track quality status index; the amplification factor is determined according to the track quality degradation rate of the section to be evaluated during the tamping cycle and the standard value of the track quality degradation rate; the quality status evaluation module is used to evaluate the track quality status of the section to be evaluated based on the track quality status index.

[0016] In a third aspect, a computer device is provided, which includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any method in the above method embodiments are implemented.

[0017] In a fourth aspect, a railway track quality status assessment system is provided, which includes a track detection device and a computer device of any one of the above-mentioned device embodiments; the track detection device is connected to the computer device and is used to collect geometric dynamic detection data of the section to be assessed at the first moment.

[0018] In a fifth aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any method in the above method embodiments are implemented.

[0019] The above-mentioned railway track quality status assessment method, apparatus, computer equipment, railway track quality status assessment system and storage medium obtain geometric dynamic detection data of the railway track section to be assessed at a first moment; then, based on the track irregularity quality index evaluation algorithm, calculate the geometric dynamic detection data of the section to be assessed at the first moment to obtain the track irregularity quality index of the section to be assessed at the first moment; then, calculate the track irregularity quality index of the section to be assessed at the first moment and the amplification factor to obtain the track quality status index; and the amplification factor is determined based on the track quality deterioration rate of the section to be assessed during the tamping cycle and the standard value of the track quality deterioration rate; finally, the track quality status of the section to be assessed is assessed based on the track quality status index. In other words, by introducing the track quality deterioration rate as an influencing factor into the track quality status index, the current status and deterioration rate are balanced when assessing the railway track quality status, thereby avoiding the situation where the railway track quality meets the quality standard but deteriorates rapidly and is not repaired in a timely manner. This not only improves the accuracy of the railway track quality status assessment, but also improves the scientificity and economy of the maintenance plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 1 is a flow chart of a method for evaluating railway track quality status in one embodiment;

[0021] Figure 2 Schematic diagram of a flow chart of a magnification factor calculation step in one embodiment;

[0022] Figure 3 The following is a statistical distribution diagram of track quality degradation rate in a specific example;

[0023] Figure 4 1 is a flow chart of the track quality degradation rate calculation step in one embodiment;

[0024] Figure 5 Schematic diagram of a flow chart of a track quality status assessment step in one embodiment;

[0025] Figure 6A comparison chart of the track irregularity quality index and the corresponding track quality status index in a specific example;

[0026] Figure 7 is a structural block diagram of a railway track quality status assessment device in one embodiment;

[0027] Figure 8 is a diagram of the internal structure of a computer device in one embodiment;

[0028] Figure 9 FIG. 4 is a structural block diagram of a railway track quality status assessment system in one embodiment. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0030] In one embodiment, Figure 1 As shown, a method for evaluating the quality status of railway tracks is provided. This embodiment uses the method applied to a computer device as an example. In this embodiment, the method includes the following steps 102 to 108.

[0031] Step 102: Acquire geometric dynamic detection data of the section to be evaluated of the railway track at a first moment.

[0032] The railway track is divided into sections based on the requirements for the quality status assessment of the railway track, and the sections to be assessed are the sections where the quality status assessment of the railway track is required. In one specific example, the sections are divided based on the length of the railway track. For example, the railway track is divided into 200m sections. The above is only a specific example. In actual applications, flexible settings can be made based on requirements and are not limited here.

[0033] In a specific example, there are many ways to determine the first moment, and the first moment can be the current moment or any moment in the tamping cycle. The above is only a specific example, and in actual application, it can be flexibly set according to needs and is not limited here.

[0034] The track inspection equipment inspects the section of the railway track to be evaluated, thereby obtaining geometric and dynamic detection data of the section at a first moment. The computer device can then obtain the geometric and dynamic detection data of the section at a first moment through the track inspection equipment. Furthermore, the track inspection equipment can be, but is not limited to, a track inspection vehicle or a comprehensive inspection vehicle.

[0035] In one embodiment, the geometric dynamic detection data includes left track height data, right track height data, left track direction data, right track direction data, track gauge data, horizontal data and triangular pit data.

[0036] Step 104 , based on the track irregularity quality index evaluation algorithm, calculation is performed according to the geometric dynamic detection data of the section to be evaluated at the first moment to obtain the track irregularity quality index of the section to be evaluated at the first moment.

[0037] The Track Quality Index (TQI) is a key indicator for evaluating track quality, providing a scientific and effective means for gaining a deeper understanding of the actual quality of the track. Based on the TQI evaluation algorithm, a computer can calculate the TQI for the section being evaluated at the first moment using the geometric and dynamic detection data obtained from track detection equipment.

[0038] In a specific example, the computer device can calculate the standard deviation of the left track height data, the right track height data, the left track track direction data, the right track track direction data, the gauge data, the horizontal data, and the triangular pit data in the geometric dynamic detection data. Then, the sum of the standard deviation of the left track height data, the standard deviation of the right track height data, the standard deviation of the left track axial data, the standard deviation of the right track axial data, the standard deviation of the gauge data, the standard deviation of the horizontal data, and the standard deviation of the triangular pit data is calculated to obtain the corresponding track irregularity quality index. The above is only a specific example. In actual application, it can be flexibly set according to needs and is not limited here.

[0039] Step 106 , calculating based on the track irregularity quality index and the amplification factor of the section to be evaluated at the first moment to obtain a track quality status index.

[0040] The amplification factor is determined based on the track quality degradation rate of the section being evaluated during the tamping cycle and the standard value of the track quality degradation rate. The tamping cycle refers to the time interval between tamping operations on railway tracks. Computer equipment can calculate the track quality status index based on the track irregularity quality index and the amplification factor at the first moment in the section being evaluated.

[0041] In one embodiment, the track quality status indicator is obtained based on the following expression:

[0042] Q=TQI(1+β)

[0043] Where Q is the track quality status indicator; TQI is the track irregularity quality index of the section to be evaluated at the first moment; and β is the amplification factor. Furthermore, the amplification factor β is related to the track quality degradation rate of the section to be evaluated during the tamping cycle, with different amplification factors corresponding to different sections to be evaluated. Furthermore, the amplification factor β is a dimensionless indicator, and its value can be understood as the additional amount of the irregularity quality index of the section to be evaluated at the first moment and the track quality degradation rate of the section to be evaluated during the tamping cycle. The amplification factor β is non-negative and monotonically increases with the track quality degradation rate of the section to be evaluated during the tamping cycle. Furthermore, the amplification factor β is subject to certain limits, ensuring that the track quality status indicator represents track quality within a reasonable range, taking into account the influence of the degradation rate.

[0044] In one embodiment, Figure 2 As shown, the step of calculating based on the track irregularity quality index and the amplification factor of the section to be evaluated at the first moment includes steps 201 to 203.

[0045] Step 201 : obtaining geometric dynamic detection data of each section of the railway track during a tamping cycle.

[0046] The track detection equipment performs a predetermined number of detections on each section of the railway track during the tamping cycle, thereby obtaining and storing geometric and dynamic detection data of each section of the railway track during the tamping cycle. The computer device can then obtain the geometric and dynamic detection data of each section of the railway track during the tamping cycle through the track detection equipment.

[0047] Step 202 : Perform a statistical analysis of the track quality degradation rate based on the geometric dynamic detection data of each section during the tamping cycle to obtain a standard value of the track quality degradation rate.

[0048] Among them, the computer equipment obtains the geometric dynamic detection data of each section of the railway track during the tamping cycle based on calculations, and performs statistical analysis on the track quality degradation rate based on the geometric dynamic detection data of each section during the tamping cycle to obtain the standard value of the track quality degradation rate of the section to be evaluated during the tamping cycle.

[0049] In a specific example, the track irregularity quality index of each section during the tamping cycle is calculated based on the geometric dynamic detection data of each section during the tamping cycle. Then, the track quality degradation rate corresponding to each section is calculated based on the track irregularity quality index of each section during the tamping cycle; then, by performing a track quality degradation rate statistical analysis on the track quality degradation rate corresponding to each section, the track quality degradation rate corresponding to the mutation point in the track quality degradation rate corresponding to each section is obtained, that is, the standard value of the track quality degradation rate of the section to be evaluated during the tamping cycle. It can be understood that, if Figure 3As shown, the track quality degradation rate changes relatively slowly before the mutation point within a tamping cycle, while the rate of change after the mutation point accelerates significantly. This means that the track quality degradation rate experiences a significant mutation at the mutation point within a tamping cycle. Therefore, if a track quality degradation rate exceeds the standard value, it is considered excessive. The above is only a specific example; in actual applications, this can be flexibly configured based on needs and is not a limitation here.

[0050] Step 203: Calculate the amplification factor based on the track quality degradation rate and the standard value of the track quality degradation rate.

[0051] The computer equipment calculates the amplification factor based on the track quality degradation rate of the section to be evaluated during the tamping cycle and the standard value of the track quality degradation rate of the section to be evaluated during the tamping cycle.

[0052] In a specific example, the amplification factor is obtained based on the following expression:

[0053]

[0054] Where β is the amplification factor; is the normalized value of the track quality degradation rate of the section to be evaluated during the tamping cycle corresponding to the standard value of the track quality degradation rate. In other words, It can also be understood as the degree to which the track quality degradation rate of the section to be evaluated within the tamping cycle is close to the track quality degradation rate standard of the section to be evaluated within the tamping cycle.

[0055] The normalized value of the track quality degradation rate corresponding to the standard value of the track quality degradation rate in the section to be evaluated during the tamping cycle is obtained based on the following expression:

[0056]

[0057] in, is the normalized value of the track quality degradation rate of the section to be evaluated during the tamping cycle corresponding to the standard value of the track quality degradation rate; k is the track quality degradation rate of the section to be evaluated during the tamping cycle; [k] is the standard value of the track quality degradation rate of the section to be evaluated during the tamping cycle.

[0058] Table 1

[0059]

[0060] In addition, Table 1 shows the classification method of normalized values. By referring to Table 1, the normalized value of the track quality degradation rate corresponding to the standard value of the track quality degradation rate in the section to be evaluated during the tamping cycle can be obtained. To analyze; when When it is less than or equal to 1.00, the track quality degradation rate of the section to be evaluated during the tamping cycle is small, the impact on the track quality is also small, and the amplification coefficient β should also be small; when When it is greater than 1.00, the track quality degradation rate of the section to be evaluated during the tamping cycle is large, and the amplification factor β should also be large. Therefore, according to Table 1, the above normalized values ​​can be The calculation is performed to verify whether the standard value [k] of the track quality degradation rate of the section to be evaluated during the tamping cycle is reasonable. The above is only a specific example. In actual application, it can be flexibly set according to needs and is not limited here.

[0061] In this embodiment, the geometric dynamic detection data of each section of the railway track during the tamping cycle are obtained; and the track quality degradation rate is statistically analyzed based on the geometric dynamic detection data of each section during the tamping cycle to obtain the standard value of the track quality degradation rate; finally, a suitable amplification factor is calculated based on the track quality degradation rate and the standard value of the track quality degradation rate; it is also possible to adjust the track irregularity quality index of the corresponding section to be evaluated at the first moment through the amplification factor, thereby obtaining a more accurate evaluation track quality status indicator and improving the accuracy of the track quality status evaluation.

[0062] In one embodiment, Figure 4 As shown, the step of calculating according to the track quality degradation rate and the track quality degradation rate standard value includes step 401 to step 402.

[0063] Step 401 : Based on the track irregularity quality index evaluation algorithm, calculation is performed according to various geometric dynamic detection data of the section to be evaluated during the tamping cycle to obtain various track irregularity quality indices of the section to be evaluated during the tamping cycle.

[0064] Among them, the computer equipment is based on the track irregularity quality index evaluation algorithm, and calculates according to the various geometric dynamic detection data corresponding to the preset number of times collected in the section to be evaluated during the tamping cycle, so as to obtain the various track irregularity quality indices of the section to be evaluated during the tamping cycle.

[0065] Step 402 : Calculate the track quality degradation rate based on the track irregularity quality index of the section to be evaluated during the tamping cycle.

[0066] Among them, the computer equipment calculates the irregularity quality index of each track in the section to be evaluated during the tamping cycle, and calculates based on the irregularity quality index of each track in the section to be evaluated during the tamping cycle to obtain the track quality degradation rate of the section to be evaluated during the tamping cycle.

[0067] In one embodiment, the track quality degradation rate of the section to be evaluated during the tamping cycle is obtained based on the following expression:

[0068]

[0069] Where k is the track quality degradation rate of the section to be evaluated during the tamping cycle; N is the total effective number of data collection by the track detection equipment during the tamping cycle; i is a natural number; t i+1 -t i x is the time interval from the i+1th track detection device collecting data to the ith track detection device collecting data; i The track irregularity quality index at the time when the track inspection equipment collects data for the i-th time.

[0070] In this embodiment, based on the track irregularity quality index evaluation algorithm, calculations are performed based on the various geometric dynamic detection data of the section to be evaluated during the tamping cycle to obtain the various track irregularity quality indices of the section to be evaluated during the tamping cycle; then, calculations are performed based on the various track irregularity quality indices of the section to be evaluated during the tamping cycle to obtain an accurate track quality degradation rate; this also accurately determines the deterioration rate of the track quality, and further obtains a more accurate evaluation track quality status indicator through the track quality degradation rate, thereby improving the accuracy of the track quality status evaluation.

[0071] Step 108: Evaluate the track quality status of the section to be evaluated based on the track quality status indicator.

[0072] Among them, the computer equipment calculates the track irregularity quality index and the amplification factor of the section to be evaluated at the first moment to obtain the track quality status index; then, the track quality status of the section to be evaluated can be evaluated based on the track quality status index.

[0073] Based on this, the geometric dynamic detection data of the section to be evaluated at the first moment is obtained. Then, based on the track irregularity quality index evaluation algorithm, the geometric dynamic detection data of the section to be evaluated at the first moment are calculated to obtain the track irregularity quality index of the section to be evaluated at the first moment. Then, the track irregularity quality index of the section to be evaluated at the first moment and the amplification factor are calculated to obtain the track quality status index. Moreover, the amplification factor is determined based on the track quality degradation rate of the section to be evaluated during the tamping cycle and the standard value of the track quality degradation rate. Finally, the track quality status of the section to be evaluated is evaluated based on the track quality status index. In other words, by introducing the track quality degradation rate as an influencing factor into the track quality status index, the current status and degradation rate are balanced when evaluating the quality status of the railway track, thereby avoiding the situation where the railway track quality meets the quality standards but deteriorates rapidly and is not repaired in a timely manner. This not only improves the accuracy of the railway track quality status assessment, but also improves the scientificity and economy of the maintenance plan.

[0074] In one embodiment, Figure 5 As shown, the step of evaluating the track quality status of the section to be evaluated according to the track quality status indicator includes step 501 and step 502.

[0075] Step 501: If the track quality status indicator is greater than the quality status indicator threshold, the track quality status is abnormal.

[0076] Step 502: If the track quality status indicator is less than or equal to the quality status indicator threshold, the track quality status is normal.

[0077] Among them, the computer equipment calculates the track irregularity quality index and the amplification factor of the section to be evaluated at the first moment to obtain the corresponding track quality status index. Exemplarily, the quality status index threshold can be, but is not limited to, pre-set according to the specific needs of the railway track quality status assessment. When the track quality status index of the computer equipment is greater than the quality status index threshold, the track quality status is abnormal, and maintenance and tamping operations should be carried out in time to prevent the occurrence of "under-maintenance" problems. When the track quality status index is less than or equal to the quality status index threshold, the track quality status is normal and can be used normally, reducing the number of periodic repairs and planned repairs to prevent the occurrence of "over-maintenance" problems and avoid wasting maintenance resources. Therefore, the efficiency of railway track quality status assessment is improved.

[0078] In a specific example, taking a 20km long railway track in the sample data as an example, the track irregularity quality index TQI and the corresponding track quality status index Q of each 200m unit section are calculated. The comparison chart of the track irregularity quality index TQI and the corresponding track quality status index Q is as follows: Figure 6 shown.

[0079] In one embodiment, Figure 5 As shown, the step of evaluating the track quality status of the section to be evaluated according to the track quality status indicator further includes:

[0080] Step 503: If the track quality status is abnormal, a railway track maintenance warning is issued.

[0081] When the track quality indicator exceeds the threshold, the computer equipment indicates that the track quality is abnormal and issues a maintenance warning. This allows sections of the track that meet the quality standards but are experiencing a rapid rate of degradation to undergo timely preventive maintenance and tamping, thus avoiding potential train operation hazards and economic losses. This improves the convenience of evaluating track quality.

[0082] It should be understood that although Figure 1 、 2 The steps in the flowcharts of , 4 and 5 are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. In addition, Figure 1 、 2 At least part of the steps in , 4 and 5 may include multiple steps or multiple stages. These steps or stages do not necessarily have to be performed at the same time, but can be performed at different times. The order of execution of these steps or stages is not necessarily one by one, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0083] In one embodiment, Figure 7 As shown, a railway track quality status assessment device is provided, which includes a first data acquisition module 710, a first data calculation module 720, a second data calculation module 730 and a quality status assessment module 740.

[0084] Among them, the first data acquisition module 710 is used to obtain the geometric dynamic detection data of the section to be evaluated of the railway track at the first moment; the first data calculation module 720 is used to calculate based on the track irregularity quality index evaluation algorithm according to the geometric dynamic detection data of the section to be evaluated at the first moment, and obtain the track irregularity quality index of the section to be evaluated at the first moment; the second data calculation module 730 is used to calculate according to the track irregularity quality index and the amplification factor of the section to be evaluated at the first moment, and obtain the track quality status index; the amplification factor is determined according to the track quality degradation rate of the section to be evaluated during the tamping cycle and the standard value of the track quality degradation rate; the quality status evaluation module 740 is used to evaluate the track quality status of the section to be evaluated based on the track quality status index.

[0085] In one embodiment, the second data calculation module 730 further includes a first acquisition unit, a statistical analysis unit, and a first calculation unit.

[0086] Among them, the first acquisition unit is used to obtain various geometric dynamic detection data of each section of the railway track during the tamping cycle; the statistical analysis unit is used to perform statistical analysis on the track quality deterioration rate based on the various geometric dynamic detection data of each section during the tamping cycle to obtain the standard value of the track quality deterioration rate; the first calculation unit is used to perform calculation based on the track quality deterioration rate and the standard value of the track quality deterioration rate to obtain the amplification factor.

[0087] In one embodiment, the first calculation unit includes a first calculator and a second calculator.

[0088] Among them, the first calculator is used to calculate based on the track irregularity quality index evaluation algorithm according to the various geometric dynamic detection data of the section to be evaluated during the tamping cycle, and obtain the various track irregularity quality indices of the section to be evaluated during the tamping cycle; the second calculator is used to calculate based on the various track irregularity quality indices of the section to be evaluated during the tamping cycle, and obtain the track quality degradation rate.

[0089] In one embodiment, the quality status assessment module 740 includes a quality status determination unit.

[0090] The quality status judgment unit is configured to determine that the track quality status is an abnormal state when the track quality status indicator is greater than the quality status indicator threshold; and the quality status judgment unit is further configured to determine that the track quality status is a normal state if the track quality status indicator is less than or equal to the quality status indicator threshold.

[0091] In one embodiment, the quality status assessment module 740 further includes a maintenance early warning unit.

[0092] Among them, the maintenance warning unit is used to issue a railway track maintenance warning if the track quality status is abnormal.

[0093] The specific definitions of the railway track quality status assessment device can be found in the definitions of the railway track quality status assessment method described above and will not be repeated here. Each module in the aforementioned railway track quality status assessment device can be implemented in whole or in part through software, hardware, or a combination thereof. Each of the aforementioned modules can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each of the aforementioned modules.

[0094] In one embodiment, a computer device 920 is provided. The computer device 920 may be a server, and its internal structure diagram may be as follows: Figure 8 As shown. The computer device 920 includes a processor, a memory and a network interface connected via a system bus. The processor of the computer device 920 is used to provide computing and control capabilities. The memory of the computer device 920 includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device 920 is used to store the geometric dynamic detection data of the section to be evaluated of the railway track at the first moment. The network interface of the computer device 920 is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for evaluating the quality status of a railway track is implemented.

[0095] Those skilled in the art will understand that Figure 8 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device 920 to which the solution of the present application is applied. The specific computer device 920 may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0096] In one embodiment, a computer device is provided. The computer device includes a memory and a processor. The memory stores a computer program. When the processor executes the computer program, the steps of any method in the above method embodiments are implemented.

[0097] In one embodiment, Figure 9 As shown, a railway track quality status assessment system is provided, which includes a track detection device 910 and a computer device 920 of any one of the above device embodiments.

[0098] The track inspection device 910 is connected to a computer device 920 and is used to collect geometric and dynamic detection data of the section to be evaluated at a first moment. Furthermore, the track inspection device 910 is used to store the collected geometric and dynamic detection data of the section to be evaluated at the first moment. In a specific example, the track inspection device 910 can be, but is not limited to, a track inspection vehicle or a comprehensive inspection vehicle. This improves the convenience of the railway track quality status assessment system.

[0099] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any method in the above method embodiments are implemented.

[0100] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0101] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0102] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A method for evaluating the quality of railway tracks, characterized in that: The method comprises: Acquiring geometric dynamic detection data of a section to be evaluated of a railway track at a first moment; the railway track is a ballasted railway track; Based on the track irregularity quality index evaluation algorithm, calculation is performed according to the geometric dynamic detection data of the section to be evaluated at the first moment to obtain the track irregularity quality index of the section to be evaluated at the first moment; The track quality status index is obtained by calculating based on the track irregularity quality index and the magnification factor of the section to be evaluated at the first moment; the track quality status index is obtained based on the following expression: Q=TQI(1+β); wherein Q is the track quality status index; TQI is the track irregularity quality index of the section to be evaluated at the first moment; β is the magnification factor; the magnification factor is determined based on the track quality degradation rate of the section to be evaluated during the tamping cycle and the standard value of the track quality degradation rate; the step of calculating based on the track irregularity quality index and the magnification factor of the section to be evaluated at the first moment comprises: obtaining geometric dynamic detection data of each section of the railway track during the tamping cycle; performing statistical analysis on the track quality degradation rate based on the geometric dynamic detection data of each section during the tamping cycle to obtain the standard value of the track quality degradation rate; calculating based on the track quality degradation rate and the standard value of the track quality degradation rate to obtain the magnification factor; and obtaining the magnification factor based on the following expression: Wherein, β is the amplification factor; The normalized value of the track quality degradation rate of the section to be evaluated during the tamping cycle corresponding to the standard value of the track quality degradation rate is obtained based on the following expression: in, is the normalized value of the track quality degradation rate of the section to be evaluated during the tamping cycle corresponding to the standard value of the track quality degradation rate; k is the track quality degradation rate of the section to be evaluated during the tamping cycle; [k] is the standard value of the track quality degradation rate of the section to be evaluated during the tamping cycle; evaluating the track quality status of the section to be evaluated according to the track quality status indicator; The step of calculating based on the track quality degradation rate and the track quality degradation rate standard value includes: Based on the track irregularity quality index evaluation algorithm, calculation is performed according to various geometric dynamic detection data of the section to be evaluated during the tamping cycle to obtain various track irregularity quality indices of the section to be evaluated during the tamping cycle; The track quality degradation rate is obtained by calculating the track irregularity quality index of the section to be evaluated during the tamping cycle. The track quality degradation rate of the section to be evaluated during the tamping cycle is obtained based on the following expression: Where k is the track quality degradation rate of the section to be evaluated during the tamping cycle; N is the total effective number of data collection by the track detection equipment during the tamping cycle; i is a natural number; t i+1 -t i x is the time interval from the i+1th track detection device collecting data to the ith track detection device collecting data; i The track irregularity quality index at the time when the track inspection equipment collects data for the i-th time.

2. The method according to claim 1, characterized in that The step of evaluating the track quality status of the section to be evaluated according to the track quality status indicator comprises: If the track quality status indicator is greater than the quality status indicator threshold, the track quality status is abnormal; If the track quality status indicator is less than or equal to the quality status indicator threshold, the track quality status is normal.

3. The method according to claim 2, characterized in that The step of evaluating the track quality status of the section to be evaluated according to the track quality status indicator further includes: If the track quality status is the abnormal status, a railway track maintenance warning is issued.

4. The method according to claim 1, wherein The geometric dynamic detection data includes left track height data, right track height data, left track direction data, right track direction data, track gauge data, level data and triangular pit data.

5. A railway track quality status assessment device, characterized in that: The device comprises: A first data acquisition module is configured to acquire geometric dynamic detection data of a section to be evaluated of a railway track at a first moment, wherein the railway track is a ballasted railway track; a first data calculation module, configured to calculate, based on a track irregularity quality index evaluation algorithm, the track irregularity quality index of the section to be evaluated at the first moment according to the geometric dynamic detection data of the section to be evaluated at the first moment; A second data calculation module is configured to calculate a track quality status index based on the track irregularity quality index and the amplification factor of the section to be evaluated at the first moment; the track quality status index is obtained based on the following expression: Q=TQI(1+β); wherein Q is the track quality status index; TQI is the track irregularity quality index of the section to be evaluated at the first moment; β is the amplification factor; the amplification factor is determined based on the track quality degradation rate of the section to be evaluated during the tamping cycle and a standard value of the track quality degradation rate; A quality status evaluation module, configured to evaluate the track quality status of the section to be evaluated based on the track quality status indicator; The second data calculation module further includes a first acquisition unit, a statistical analysis unit, and a first calculation unit. The first acquisition unit is used to acquire geometric dynamic detection data of each section of the railway track during the tamping cycle. The statistical analysis unit is used to perform statistical analysis of the track quality degradation rate based on the geometric dynamic detection data of each section during the tamping cycle to obtain a standard value of the track quality degradation rate. The first calculation unit is used to calculate based on the track quality degradation rate and the standard value of the track quality degradation rate to obtain an amplification factor. The amplification factor is obtained based on the following expression: Wherein, β is the amplification factor; The normalized value of the track quality degradation rate of the section to be evaluated during the tamping cycle corresponding to the standard value of the track quality degradation rate is obtained based on the following expression: in, is the normalized value of the track quality degradation rate of the section to be evaluated during the tamping cycle corresponding to the standard value of the track quality degradation rate; k is the track quality degradation rate of the section to be evaluated during the tamping cycle; [k] is the standard value of the track quality degradation rate of the section to be evaluated during the tamping cycle; The first calculation unit includes a first calculator and a second calculator; wherein the first calculator is used to calculate, based on a track irregularity quality index evaluation algorithm, various geometric dynamic detection data of the section to be evaluated during the tamping cycle to obtain various track irregularity quality indices of the section to be evaluated during the tamping cycle; the second calculator is used to calculate, based on various track irregularity quality indices of the section to be evaluated during the tamping cycle, to obtain a track quality degradation rate; the track quality degradation rate of the section to be evaluated during the tamping cycle is obtained based on the following expression: Where k is the track quality degradation rate of the section to be evaluated during the tamping cycle; N is the total effective number of data collection by the track detection equipment during the tamping cycle; i is a natural number; t i+1 -t i x is the time interval from the i+1th track detection device collecting data to the ith track detection device collecting data; i The track irregularity quality index at the time when the track inspection equipment collects data for the i-th time.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

7. A railway track quality status assessment system, characterized in that: The system includes a track detection device and a computer device as claimed in claim 6; the track detection device is connected to the computer device and is used to collect geometric dynamic detection data of the section to be evaluated at a first moment.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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