High-speed railway ballastless track fine adjustment operation dynamic prediction method and device

Abstract

The present application relates to the field of transportation, and particularly relates to a dynamic estimation method and device for fine adjustment operation of high-speed railway ballastless track. The method comprises the following steps: calculating the efficiency relationship of the line before and after the fine adjustment operation according to the track geometry dynamic inspection data of multiple sections in the line before and after the fine adjustment operation; estimating the fine adjustment operation effect of an initial section according to the efficiency relationship and the actual track quality index of all sections in the line before the fine adjustment operation; calculating the estimated average track quality index of the line according to the fine adjustment operation effect of the initial section; determining the estimated adjustment amount of the initial section when the estimated average track quality index is less than or equal to the target average track quality index; and selecting another section to update the initial section and returning to the step of estimating the fine adjustment operation effect of the initial section when the estimated average track quality index is greater than the target average track quality index. The method can estimate the position of the fine adjustment operation section and the operation adjustment amount, optimize the operation scheme and improve the operation efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of transportation, and can be used in the field of high-speed railway, in particular to a dynamic estimation method and device for fine adjustment operation of high-speed railway ballastless track. BACKGROUND

[0002] High-speed railway ballastless track has been widely used in high-speed railway lines in China due to its high stability, durability and smoothness. Fine adjustment of track is a basic measure to ensure high-speed and safe train operation, which is common in newly built lines and existing high-speed railways.

[0003] In the prior art, after track laying in newly built lines, fine adjustment of the track is performed. First, track static data is collected by a track measuring instrument for analysis to guide replacement of fasteners during the static period. Then, according to existing evaluation standards, problem sections are determined based on dynamic detection data. Track geometry state measuring instruments are used to collect and analyze static data, and adjustments are made on site. Dynamic detection data is used to check irregularity waveforms and track quality indexes to determine whether the section has been improved. The whole process is complicated, time-consuming, and has low efficiency. Dynamic detection data plays a small role in track geometry adjustment operations.

[0004] In view of the problems of complicated fine adjustment operation process and low operation efficiency, a dynamic estimation method and device for fine adjustment operation of high-speed railway ballastless track are needed. SUMMARY

[0005] To solve the above problems of the prior art, the embodiments of the present application provide a dynamic estimation method and device for fine adjustment operation of high-speed railway ballastless track, computer equipment and storage medium, which solve the problems in the prior art.

[0006] The embodiments of the present application provide a method, which comprises: calculating an efficiency relationship of a line before and after fine adjustment operation of a plurality of sections in the line according to track geometry dynamic detection data before and after the fine adjustment operation, wherein the efficiency relationship reflects the change amount of track geometry data before and after the fine adjustment operation; estimating the fine adjustment operation effect of an initial section according to the efficiency relationship and actual track quality indexes of all sections before the fine adjustment operation, wherein the fine adjustment operation effect refers to the upper and lower limits of track data after the fine adjustment operation; calculating an estimated average track quality index of the line according to the fine adjustment operation effect of the initial section; when the estimated average track quality index is less than or equal to a target average track quality index, obtaining an estimated adjustment amount of the initial section; when the estimated average track quality index is greater than the target average track quality index, selecting another section to update the initial section, and returning to the step of estimating the fine adjustment operation effect of the initial section.

[0007] According to an aspect of the embodiments herein, the calculating the performance relation of the actual track quality indexes of the line before and after the fine adjustment operation further comprises comparing the first high-low standard deviation before the fine adjustment operation with the second high-low standard deviation after the fine adjustment operation to obtain a high-low standard deviation variation of the sections, and forming a point set distribution according to the first high-low standard deviation and the high-low standard deviation variation of the sections before and after the fine adjustment operation in a two-dimensional plane formed by the first high-low standard deviation as the abscissa and the high-low standard deviation variation as the ordinate, and a boundary of the point set forms the performance relation curve of the actual track quality indexes of the line before and after the fine adjustment operation.

[0008] According to an aspect of the embodiments herein, the estimating the fine adjustment operation effect of the initial section according to the performance relation and the actual track quality indexes of all sections before the fine adjustment operation further comprises selecting a section with the largest actual track quality index before the fine adjustment operation as the initial section, and estimating the fine adjustment operation effect of the initial section according to the upper limit and the lower limit of the performance relation.

[0009] According to an aspect of the embodiments herein, the estimating the fine adjustment operation effect of the initial section according to the upper limit and the lower limit of the performance relation comprises estimating an upper limit value of the track data after the fine adjustment operation of the initial section according to the upper limit of the performance relation, and estimating a lower limit value of the track data after the fine adjustment operation of the initial section according to the lower limit of the performance relation, and the upper limit value and the lower limit value of the track data constitute the fine adjustment operation effect of the initial section.

[0010] According to an aspect of the embodiments herein, the calculating the estimated average track quality index of the line according to the fine adjustment operation effect comprises calculating the upper limit and the lower limit of the track quality index of the initial section after the fine adjustment operation according to the upper limit value and the lower limit value of the track data in the fine adjustment operation effect of the initial section by using a track quality index calculation formula.

[0011] According to the upper limit and the lower limit of the track quality index of the initial section after the fine adjustment operation and the actual track quality indexes of other sections before the fine adjustment operation, the estimated average track quality index of the line is calculated, and the estimated average track quality index comprises an upper limit and a lower limit of the estimated average track quality index.

[0012] According to an aspect of the embodiments herein, when the estimated average track quality index is less than or equal to a target average track quality index, determining the estimated adjustment amount for the initial section comprises: determining an upper limit of the section adjustment amount when the upper limit of the estimated average track quality index is less than the target track quality index; determining a lower limit of the section adjustment amount when the lower limit of the estimated average track quality index is less than the target track quality index; and determining the estimated adjustment amount based on the upper limit of the section adjustment amount and the lower limit of the section adjustment amount.

[0013] According to an aspect of the embodiments herein, when the estimated average track quality index is greater than the target average track quality index, selecting another section to update the initial section and returning to the step of estimating the effect of the fine adjustment operation of the initial section further comprises: selecting a section having an actual track quality index before the fine adjustment operation that is only less than the actual track quality index before the fine adjustment operation of the initial section from all the sections as the updated initial section.

[0014] The embodiments herein also provide a device for dynamically estimating the effect of a fine adjustment operation of a ballastless track of a high-speed railway, comprising: an efficiency relationship calculation unit configured to calculate an efficiency relationship of the line before and after the fine adjustment operation based on track geometry data before and after the fine adjustment operation of a plurality of sections in the line, wherein the efficiency relationship represents a variation of the track geometry data before and after the fine adjustment operation;

[0015] an effect of fine adjustment operation estimation unit configured to estimate an effect of the fine adjustment operation of an initial section based on the efficiency relationship and actual track quality indices before the fine adjustment operation of all the sections in the line, the effect of the fine adjustment operation being an upper limit and a lower limit of track data after the fine adjustment operation;

[0016] an average track quality index calculation unit configured to calculate an estimated average track quality index of the line based on the effect of the fine adjustment operation;

[0017] an estimated adjustment amount determination unit configured to determine an estimated adjustment amount for the initial section when the estimated average track quality index is less than or equal to a target average track quality index;

[0018] a returning unit configured to select another section to update the initial section and return to the step of estimating the effect of the fine adjustment operation of the initial section when the estimated average track quality index is greater than the target average track quality index.

[0019] The embodiments herein also provide a computer device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the method described above when executing the computer program.

[0020] The embodiment also provides a computer readable storage medium, which stores computer instructions, and the computer instructions are executed by a processor to implement the method.

[0021] The embodiment can make full use of the dynamic inspection data with relatively high detection frequency, estimate the fine adjustment operation section of the ballastless track of the high-speed railway line, and give the predicted adjustment amount, so as to give full play to the dynamic inspection track geometry dynamic detection data in the fine adjustment operation of the high-speed railway, and perfect the management evaluation system of the high-speed railway ballastless track.

[0022] The fine adjustment operation estimation method and device of the ballastless track of the high-speed railway can estimate the fine adjustment operation section and the predicted adjustment amount of the ballastless track of the high-speed railway line, fully excavate the relationship between the dynamic inspection data before and after the fine adjustment operation, thereby reducing the repeated operation frequency, saving the manpower and material resources, improving the operation efficiency, and performing economic estimation, and reasonably arranging the maintenance and repair funds. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments or the prior art, the drawings needed to be used in the embodiment or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0024] Figure 1 The flowchart of the dynamic estimation method of the fine adjustment operation of the ballastless track of the high-speed railway is shown;

[0025] Figure 2 The waveform change schematic diagram of a plurality of track geometry items at different detection times before and after the fine adjustment operation of a certain high-speed railway line section is shown;

[0026] Figure 3 The track quality index change schematic diagram at different times before and after the fine adjustment operation of a certain high-speed railway line section is shown;

[0027] Figure 4 The efficiency relationship curve diagram before and after the fine adjustment operation of the line is shown;

[0028] Figure 5 The flowchart of the method for estimating the initial fine adjustment operation effect of the embodiment is shown;

[0029] Figure 6 The structural schematic diagram of the dynamic estimation device of the fine adjustment operation of the ballastless track of the high-speed railway is shown;

[0030] Figure 7 The specific structural schematic diagram of the dynamic estimation device of the fine adjustment operation of the ballastless track of the high-speed railway is shown;

[0031] Figure 8 Fig. 1 shows a structural schematic diagram of a computer device according to an embodiment of the present disclosure.

[0032] Explanation of the drawing symbols:

[0033] 601, performance relationship calculation unit;

[0034] 602, fine adjustment operation effect estimation unit;

[0035] 603, average track quality index calculation unit;

[0036] 604, estimated adjustment amount determination unit;

[0037] 605, return unit;

[0038] 6011, section division module;

[0039] 6021, actual track quality index calculation module;

[0040] 6022, initial section determination module;

[0041] 6041, comparison module;

[0042] 6051, initial section update module;

[0043] 802, computer device;

[0044] 804, processor;

[0045] 806, memory;

[0046] 808, drive mechanism;

[0047] 810, input / output module;

[0048] 812, input device;

[0049] 814, output device;

[0050] 816, presentation device;

[0051] 818, graphical user interface;

[0052] 820, network interface;

[0053] 822, communication link;

[0054] 824, communication bus. DETAILED DESCRIPTION

[0055] In order to enable a person skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in combination with the drawings in the embodiments. Obviously, the described embodiments are only a part of the embodiments of the specification, rather than all the embodiments. Based on the embodiments herein, all other embodiments obtained by a person skilled in the art without creative labor fall within the scope of protection of the specification.

[0056] It should be noted that the terms "first", "second", and the like in the specification and claims of the specification and the above drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the specification described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, device, product or equipment including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or equipment.

[0057] The specification provides method operation steps as described in the embodiments or flowcharts, but can include more or fewer operation steps based on routine or non-creative labor. The order of steps listed in the embodiments is only one of the many step execution orders, and does not represent the only execution order. In actual system or device product execution, the method order shown in the embodiments or drawings can be executed in sequence or in parallel.

[0058] It should be noted that the high-speed railway ballastless track fine adjustment operation dynamic estimation method herein can be used in the field of transportation, and can also be used in any field other than the field of transportation. The application field of the high-speed railway ballastless track fine adjustment operation dynamic estimation method and device herein is not limited.

[0059] As Figure 1 The flowchart of the high-speed railway ballastless track fine adjustment operation dynamic estimation method herein is shown, which specifically includes the following steps:

[0060] Step 101, according to the track geometry dynamic inspection data before and after the fine adjustment operation of a plurality of sections in the line, the efficiency relationship of the line before and after the fine adjustment operation is calculated, wherein the efficiency relationship reflects the change amount of the track data before and after the fine adjustment operation;

[0061] Step 102, according to the efficiency relationship and the actual track quality index before the fine adjustment operation of all sections in the line, the fine adjustment operation effect of the initial section is estimated, and the fine adjustment operation effect refers to the upper and lower limits of the track data after the fine adjustment operation;

[0062] Step 103, calculating the estimated average track quality index of the line according to the fine adjustment operation effect;

[0063] Step 104, determining the estimated adjustment amount of the initial section when the estimated average track quality index is less than or equal to the target average track quality index;

[0064] Step 105, selecting another section to update the initial section and returning to the step of estimating the fine adjustment operation effect of the initial section when the estimated average track quality index is greater than the target average track quality index.

[0065] In the industry, track fine adjustment is the last precise measurement work for the online operation of high-speed trains, and is a basic measure to ensure the safe driving of high-speed trains. Track fine adjustment mainly adjusts the high-low, horizontal, track alignment and gauge of track geometry, mainly adjusts the geometric position of the steel rail, and the adjustment of the steel rail needs to be adjusted through the fastening part. Because different types of fastening parts are used, the track fine adjustment methods are also different.

[0066] In some embodiments of the present specification, according to the section where the line is located (for example, bridge, track deformation and other conditions), the part of the line that needs to be fine adjusted is divided into multiple sections according to a certain length unit, and the track data of the multiple sections before fine adjustment is calculated. The track data before fine adjustment includes the data of 7 track geometry items such as left high-low, right high-low, left track alignment, right track alignment, gauge, level, and triangular pit. For example, taking a 120-kilometer non-continuous operation section on the Beijing-Shanghai high-speed rail, the section is divided into 600 sections according to a 200-meter mileage unit, and the track data of the track geometry items of the 600 sections can be calculated respectively.

[0067] According to the track data of each section before fine adjustment, the track quality index (TQI, Track Quality Index) of each section can be determined. The track quality index can accurately reflect the quality state of the track, the deterioration degree of the track state, and can use numerical values to clearly indicate the good and bad of each track section, which can guide the macro management and quality control of the track state by the management departments at all levels. The track quality index of a section is the sum of the standard deviations of 7 track data such as left high-low, right high-low, left track alignment, right track alignment, gauge, level, and triangular pit. The larger the track quality index, the larger the overall amplitude of the line irregularity, and the worse the comfort; the smaller the track quality index, the better the line smoothness, and the higher the comfort. The track quality index of multiple sections can reflect the track quality index of the entire line.

[0068] In some embodiments of the present specification, when performing fine adjustment work on a track line, although performing fine adjustment work on the line can significantly improve the amplitude of track geometry items, the fine adjustment work is affected by the site structure state, the fine adjustment work personnel level, measurement errors, etc., and even if the same batch of work personnel performs fine adjustment work on the same line, the track geometry state of the section is similar, and the fine adjustment work effect also has certain differences. Through the calculation of the TQI values of a large number of fine adjustment section adjustment before and after, it is found that the work effect caused by the site structure state, the fine adjustment work personnel level, and the measurement error has a certain boundary, that is, the efficiency relationship of the fine adjustment work has an upper limit and a lower limit. The efficiency relationship can reflect the change amount of the track geometry data before and after the fine adjustment work on the one hand, and can reflect the ability of the on-site manual fine adjustment work to improve the track geometry irregularity on the other hand. The upper limit and the lower limit of the efficiency relationship can represent the upper limit and the lower limit of the fine adjustment work level. The upper limit is the improvement effect that can be obtained by the highest efficiency of the fine adjustment work, and the lower limit is the improvement effect that can be obtained by the lowest efficiency of the fine adjustment work. According to the efficiency relationship, the fine adjustment work effect can be estimated in the present specification. The specific description of determining the efficiency relationship in the present specification can be referred to Figure 4 , which will not be repeated here.

[0069] According to the efficiency relationship determined by the foregoing steps and the actual track quality index of all sections in the line before fine adjustment work, the fine adjustment work effect of an initial section can be estimated. Specifically, the track quality indexes of all sections on the line are calculated, and the sections are sorted in order from high to low according to the track quality indexes. First, the section with the largest actual track quality index is selected from all sections as an initial section, and the fine adjustment work of the initial section is estimated. Secondly, according to the upper limit and the lower limit of the efficiency relationship, the track data (i.e., high and low standard deviations) of the initial section are estimated, and the change amount of the track data (i.e., high and low standard deviations) of the initial section after the estimated fine adjustment work is obtained, which corresponds to the upper limit and the lower limit of the efficiency relationship respectively, and is two different change amounts. In addition, before sorting the sections according to the track quality indexes, the track quality indexes of all sections need to be preprocessed, including: removing sections with abnormally large or small track quality indexes caused by widening turnouts, rain and snow interference, electromagnetic interference, etc. After the track quality indexes of all sections are processed as described above, the sorting and further calculation are performed.

[0070] In some embodiments of the present specification, the estimated average track quality index of the line is calculated according to the fine adjustment work effect of the initial section. As described above, the actual track quality index of the initial section before fine adjustment work is the largest, which has the greatest impact on the irregularities of the entire line, so the fine adjustment work effect of the initial section with a relatively large track quality index amplitude is estimated first, and the track quality index of other sections of the line is temporarily not processed. Specifically, the fine adjustment work effect of the initial section is calculated through the performance relationship, and the fine adjustment work effect of the initial section is the upper and lower limit values of the change amount of the estimated high and low standard deviations of the initial section. According to the upper and lower limit values of the change amount of the high and low standard deviations of the initial section, the track quality index of the initial section can be calculated using the track quality index calculation formula. The track quality index of the initial section is added to the actual track quality index of other sections and averaged to calculate the estimated average track quality index of the line. The estimated average track quality index is two values of the upper and lower limit values of the estimated average track quality index.

[0071] In some embodiments of the present specification, the size relationship between the estimated average track quality index and the target average track quality index is determined. When the estimated average track quality index is less than or equal to the target average track quality index, the estimated adjustment amount is determined according to the initial section. When the estimated average track quality index is greater than the target average track quality index, the initial section is updated by selecting another section, and the step of estimating the fine adjustment work effect of the initial section is returned.

[0072] As an embodiment herein, the performance relationship of the line before and after fine adjustment work is calculated according to the track data of multiple sections of the line before and after fine adjustment work, which further comprises: comparing the first high and low standard deviation before fine adjustment work of multiple sections with the second high and low standard deviation after fine adjustment work to obtain the high and low standard deviation change amount of the multiple sections; taking the first high and low standard deviation as the abscissa and the high and low standard deviation change amount as the ordinate, and according to the first high and low standard deviation of the multiple sections of the line and the high and low standard deviation change amount, the track data before and after the section work falls in the two-dimensional plane formed by the abscissa and ordinate to form a point set distribution, and the boundary formed by the point set is the performance relationship curve of the actual track quality index of the line before and after fine adjustment work.

[0073] In the track geometry project, the high-low project is the main project affecting the vertical irregularity of track geometry, and the horizontal and triangular pit two sub-projects are also mainly affected by the high-low project, while the track alignment is the main project affecting the lateral irregularity of track geometry, and the track gauge project is mainly affected by the track alignment. Most of the irregularities in high-speed rail lines are mainly affected by the vertical geometry project. In some embodiments of the present specification, the fine adjustment operation mainly adjusts the high-low project in the track geometry project, therefore, the high-low standard deviation of a section before and after the fine adjustment operation will change significantly. The present scheme determines the performance relationship of the sections before and after the fine adjustment operation by calculating the high-low standard deviation of a plurality of sections in the line before and after the fine adjustment operation, and the performance relationship of the plurality of sections can simulate the effect range of manual fine adjustment operation on the sections, further reflecting the performance relationship of the entire line. The high-low standard deviation of the section before the fine adjustment operation is the first high-low standard deviation, and the high-low standard deviation of the section after the fine adjustment operation is the second high-low standard deviation. The high-low standard deviation change amount is the difference between the first high-low standard deviation and the second high-low standard deviation.

[0074] As shown in Figure 4 The performance relationship curve diagram of the line before and after the fine adjustment operation is shown in the embodiment. In the figure, a plurality of sections are collected on the line, the first high-low standard deviation of the plurality of sections before the fine adjustment operation and the second high-low standard deviation after the fine adjustment operation are calculated, and the change amount of the first high-low standard deviation and the second high-low standard deviation is calculated. The first high-low standard deviation of the collected plurality of sections is determined as the coordinate point along the horizontal coordinate, and the second high-low standard deviation of the collected plurality of sections is determined as the coordinate point along the vertical coordinate, so as to form the point set distribution of the plurality of collected sections on the two-dimensional plane. It can be seen from the point set distribution of the plurality of collected points that although the fine adjustment effect exists difference, the operation effect caused by the difference also has certain boundary, the point set distribution is within a certain boundary, and the boundary is the upper limit and lower limit of the performance relationship, therefore, by a large number of sections on the same line and fine adjustment operation, the high-low standard deviation before and after the operation can be calculated to determine the performance relationship of the line before and after the fine adjustment operation.

[0075] For example, the high-low standard deviations of 600 sections corresponding to a 120 km discontinuous line on the Beijing-Shanghai high-speed rail before fine adjustment are calculated, and four sections are taken as an example for illustration. For example, the high-low standard deviation of the first section is 0.2 mm, the high-low standard deviation of the second section is 0.27 mm, the high-low standard deviation of the third section is 0.3 mm, and the high-low standard deviation of the fourth section is 0.8 mm. The high-low standard deviations calculated above are the first high-low standard deviations. Then, fine adjustment is performed on the 600 sections, and the high-low standard deviations of the 600 sections are calculated after the fine adjustment is completed. For example, the high-low standard deviation of the first section is 0.17 mm, the high-low standard deviation of the second section is 0.22 mm, the high-low standard deviation of the third section is 0.23 mm, and the high-low standard deviation of the fourth section is 0.38 mm. The high-low standard deviations calculated above are the second high-low standard deviations. The high-low standard deviation changes of the 600 sections are further calculated. The high-low standard deviation change of the first section is 0.03 mm, the high-low standard deviation change of the second section is 0.05 mm, the high-low standard deviation change of the third section is 0.07 mm, and the high-low standard deviation change of the fourth section is 0.52 mm. According to the high-low standard deviation changes of the 600 sections, the first high-low standard deviations of the sections are taken as the horizontal coordinates, and the high-low standard deviation changes of the sections are taken as the vertical coordinates. The first high-low standard deviations and the high-low standard deviation changes of the 600 sections are represented in a two-dimensional coordinate plane formed by the horizontal coordinates and the vertical coordinates, and finally a point set distribution area formed by 600 collection points is formed. As described above, there is a certain boundary for the fine adjustment effect caused by differences in field structure state, fine adjustment personnel level, and measurement error. The point set distribution area formed by the 600 sections in the two-dimensional plane has a certain boundary, which represents the Figure 4 upper and lower gray-scale different straight lines. The two gray-scale different straight lines respectively represent the highest efficiency and the lowest efficiency of the fine adjustment. The efficiency of the fine adjustment performed on the line is distributed between the lowest efficiency and the highest efficiency. According to the efficiency relationship, other fine adjustment sections on the line can be estimated. In some embodiments of the present specification, the boundary of the point set distribution area and the corresponding first high-low standard deviation can be represented by a function. In some embodiments of the present specification, the track section corresponding to the lowest efficiency accounts for about 5% of the total number of sections in the line, and therefore the lowest efficiency curve can only be used as a reference for the embodiments of the present application. The number relationship between the highest efficiency and the lowest efficiency of the fine adjustment of the present application is not limited.

[0076] As Figure 2 shown is a waveform change schematic diagram of multiple track geometry items at different detection times before and after fine adjustment of a section of a certain high-speed rail line.

[0077] Figure 2The waveforms of the left high-low, right high-low, left track alignment, right track alignment, level, track gauge, triangular pit, transverse acceleration, and vertical acceleration of the section on August 5, September 19, October 10, November 5, and December 19, 2018 are recorded respectively, which correspond to the dynamic detection waveforms of the track geometry of the section before and after the fine adjustment operation. The fine adjustment operation is performed on the section between October 19 and November 5. According to the waveforms corresponding to the two dates, the amplitude of the waveforms corresponding to the left high-low and right high-low of the section after the fine adjustment operation decreases significantly, while the other track geometry items remain almost unchanged, indicating that the fine adjustment operation mainly adjusts the high-low irregularity.

[0078] As shown in FIG. 1, the track quality index of the section of the high-speed railway line before and after the fine adjustment operation is shown. Figure 3 As shown in FIG. 2, the track quality index of the section of the high-speed railway line before and after the fine adjustment operation is shown.

[0079] Figure 3 As shown in FIG. 3, the track quality index of the section of the high-speed railway line before and after the fine adjustment operation is shown. Figure 2 As shown in FIG. 3, the track quality index of the section of the high-speed railway line before and after the fine adjustment operation is shown. Figure 3 As shown in FIG. 3, the track quality index of the section of the high-speed railway line before and after the fine adjustment operation is shown. As shown in FIG. 3, the track quality index of the section of the high-speed railway line before and after the fine adjustment operation is shown. For example, the track quality index of the 250.6 km section on August 5, 2018 is 3.99, and the track quality index of the section on November 5, 2018 after the fine adjustment operation is 2.13, and the track quality index of the section on December 19, 2018 is 2.21, which can be clearly seen that the track quality index of a certain section of the line is significantly improved after the fine adjustment operation.

[0080] As an embodiment of the present disclosure, the effect of the fine adjustment operation of the initial section is further estimated according to the performance relationship and the actual track quality index of all sections before the fine adjustment operation, which comprises: selecting the section with the maximum actual track quality index before the fine adjustment operation as the initial section; and estimating the effect of the fine adjustment operation of the initial section according to the upper and lower limits of the performance relationship.

[0081] In some embodiments of the present disclosure, the upper limit and the lower limit of the performance relationship are: the first high-low standard deviation before the fine adjustment operation of each section, the highest performance and the lowest performance of the manual fine adjustment operation. As described above, the actual track quality index of the initial section before the fine adjustment operation is the largest, and the influence degree of the irregularity of the entire line is the largest, so the fine adjustment operation effect of the initial section is estimated first, and the average track quality index of the line is further judged according to the estimated fine adjustment operation effect of the initial section.

[0082] As shown in Figure 5 is a flow chart of a method for estimating the fine adjustment operation effect of the initial section according to an embodiment of the present disclosure.

[0083] Step 501, selecting the section with the largest actual track quality index before and after the fine adjustment operation as the initial section.

[0084] In some embodiments of the present disclosure, before selecting the initial section, the actual track quality index of all sections on the line is calculated, the actual track quality index is the track quality index of the line before performing the fine adjustment operation, and the actual track quality index can be calculated by the track quality index calculation formula (1). The calculation formula of the track quality index is as follows:

[0085]

[0086] Wherein, σ i is the single-item standard deviation of left high-low, right high-low, left track alignment, right track alignment, track gauge, level, and triangular pit, and the calculation formula (2) of the single-item standard deviation is as follows:

[0087]

[0088] Wherein, N is the number of 200-meter mileage calculation unit sampling points; The arithmetic mean (mm) of the peak values x ij of the items in the calculation unit are calculated, and the high-low and the track alignment are calculated by using 1.5-42-meter wavelength data.

[0089] First, the actual track quality index of all sections on the line before the fine adjustment operation is calculated according to the track quality index calculation formula, for example, the Beijing-Shanghai high-speed rail can be divided into more than six thousand sections according to 200-meter mileage units, and the track quality index of all more than six thousand sections before the fine adjustment operation is calculated. The section with the largest track quality index before the fine adjustment operation is selected as the initial section, and the track quality index of the initial section is the largest, and the influence degree on the average level of the track quality of the entire Beijing-Shanghai line is the largest.

[0090] Step 502, estimating the fine adjustment operation effect of the initial section according to the upper limit and the lower limit of the performance relationship.

[0091] Specifically, the track data of the initial section is mapped to Figure 4 In the efficiency relation curve before and after the fine adjustment operation, according to the track data of the initial section before the fine adjustment operation, the first high-low standard deviation is calculated, and the first high-low standard deviation is mapped to the efficiency relation curve, so that the high-low standard deviation change amount of the initial section can be obtained. Wherein, the efficiency relation has an upper limit and a lower limit, and the upper limit and the lower limit of the efficiency relation represent the highest level of fine adjustment level and the lowest fine adjustment level that may be generated by manual fine adjustment. The efficiency relation can be embodied by the high-low standard deviation item in the track data. Specifically, the first high-low standard deviation of the initial section is mapped to the efficiency relation curve, so that the maximum change amount and the minimum change amount of the high-low standard deviation of the initial section can be obtained, and the maximum change amount and the minimum change amount of the high-low standard deviation are the estimated fine adjustment operation effect of the initial section. That is, the fine adjustment operation effect of the initial section can be estimated.

[0092] As an embodiment herein, the estimating the fine adjustment operation effect of the initial section according to the upper limit and the lower limit of the efficiency relation comprises: estimating the upper limit value of the track data of the initial section after the fine adjustment operation according to the upper limit of the efficiency relation; estimating the lower limit value of the track data of the initial section after the fine adjustment operation according to the lower limit of the efficiency relation; and the upper limit value and the lower limit value of the track data constitute the fine adjustment operation effect of the initial section.

[0093] The effect of the fine adjustment operation of the initial section can be predicted by mapping the track data of the section before the fine adjustment operation into the efficiency relation curve. According to the analysis of the efficiency relation before and after the fine adjustment operation of the line, the track data after the fine adjustment operation of the initial section is the high-low standard deviation after the fine adjustment operation of the initial section. The actual track quality index and the high-low standard deviation of the initial section in the line before the fine adjustment operation are calculated, and the high-low standard deviation of the section is substituted into the efficiency relation curve. The high-low standard deviation before the fine adjustment operation of the initial section is used as the abscissa, and the upper limit and the lower limit of the efficiency relation are used to obtain the upper limit value and the lower limit value of the high-low standard deviation change of the section after the fine adjustment operation, respectively. The maximum value and the minimum value of the high-low standard deviation change of the initial section after the fine adjustment operation are predicted, that is, the upper limit value and the lower limit value of the track data. For example, the high-low standard deviation of the initial section on the Beijing-Shanghai line before the fine adjustment operation is 0.88 mm. According to the upper limit of the efficiency relation, the maximum value of the high-low standard deviation change after the fine adjustment operation is 0.68 mm, that is, the high-low standard deviation of the section after the fine adjustment operation is 0.2 mm. According to the lower limit of the efficiency relation, the maximum value of the high-low standard deviation change after the fine adjustment operation is 0.28 mm, that is, the high-low standard deviation of the initial section after the fine adjustment operation is 0.6 mm. That is, according to the efficiency relation, the high-low standard deviation of the initial section after the fine adjustment operation is in the range of 0.2 mm-0.6 mm, and the value range is the predicted fine adjustment effect of the initial section.

[0094] As an embodiment herein, calculating the predicted average track quality index of the line according to the fine adjustment effect of the initial section comprises: calculating the upper and lower limits of the track quality index of the initial section after the fine adjustment operation according to the upper and lower limits of the track data in the fine adjustment effect of the initial section by using the track quality index calculation formula; and calculating the average track quality index of the line according to the upper and lower limits of the track quality index of the initial section after the fine adjustment operation and the actual track quality index of other sections in the line before the fine adjustment operation, wherein the average track quality index comprises the upper and lower limits of the predicted average track quality index.

[0095] In some embodiments of the present specification, calculating the upper and lower limits of the track quality index of the initial section after the fine adjustment operation according to the upper and lower limits of the track data in the fine adjustment effect of the initial section comprises: calculating the upper and lower limits of the second high-low standard deviation after the fine adjustment operation according to the efficiency relation in the fine adjustment effect of the initial section; and calculating the upper and lower limits of the track quality index of the initial section after the fine adjustment operation according to the upper and lower limits of the second high-low standard deviation.

[0096] The track quality index calculation formula has been described above:

[0097] The calculation formula of the single standard deviation is as follows:

[0098]

[0099] In some embodiments of the present disclosure, the average track quality index of the line is the average of the track quality indices of all sections of the line. For example, a line is divided into 100 sections for pre-estimation adjustment test, one of the sections is selected as the initial section, the track quality index of the initial section is calculated according to the effect of the adjustment work of the initial section, the track quality index of the initial section and the actual track quality indices of the other 99 sections before the adjustment work are added and averaged, and according to the number of all sections of the line, the average track quality index of the line can be determined.

[0100] In some embodiments of the present disclosure, because the track quality index of the initial section after the adjustment work calculated according to the performance relationship curve has an upper limit and a lower limit, the average track quality index of the line calculated also has an upper limit and a lower limit, and therefore the upper limit and the lower limit of the average track quality index of the line can also be calculated according to the upper limit and the lower limit of the track quality index of the initial section.

[0101] As an embodiment herein, when the estimated average track quality index is less than or equal to the target average track quality index, the estimated adjustment amount of the initial section is determined to include:

[0102] When the upper limit of the estimated average track quality index is less than the target average track quality index, the upper limit of the section adjustment amount is determined; when the lower limit of the estimated average track quality index is less than the target average track quality index, the lower limit of the section adjustment amount is determined; and the estimated adjustment amount is determined according to the upper limit and the lower limit of the section adjustment amount.

[0103] In some embodiments of the present disclosure, the estimated average track quality index is calculated from the track quality index of the initial section after the adjustment work. The upper limit of the estimated average track quality index is obtained from the upper limit of the track quality index of the initial section after the adjustment work, and the lower limit of the estimated average track quality index is obtained from the lower limit of the track quality index of the initial section after the adjustment work. In some embodiments of the present disclosure, the target average track quality index is a pre-set desired track quality index of a track line, which is a desired quality level that the track line can reach after the adjustment work. For example, the actual track quality index TQI of a certain high-speed rail line before the adjustment work is 4.5, which is relatively high, and therefore the target average track quality index is set to 3.0, and it is expected that the track quality index of the high-speed rail line can reach the target average track quality index after the adjustment work.

[0104] When the lower limit of the average track quality index of the high-speed rail line is lower than the target average track quality index, the upper limit of the estimated adjustment amount can be determined according to the product of the section sequence number of the initial section and the mileage unit; when the upper limit of the average track quality index of the high-speed rail line is lower than the target average track quality index, the lower limit of the estimated adjustment amount can be determined according to the product of the section sequence number of the initial section and the mileage unit. The upper limit and the lower limit of the estimated adjustment amount can determine the final estimated adjustment amount range.

[0105] For example, the target average track quality index is set to 3.0, and the track quality indices of all sections of the high-speed rail line are sorted from high to low, where the first section is the section with the largest track quality index, the upper and lower limits of the track quality index of the first section are calculated, and the upper limit of the estimated average track quality index of the line is calculated to be 3.5 and the lower limit of the estimated average track quality index of the line is calculated to be 2.7. At this time, the lower limit of the average track quality index of the line 2.7 is lower than the target average track quality index 3.0, which meets the requirement, that is, only the first section is fine-tuned to achieve the fine-tuning effect of the line, and the section mileage 0.2 km of the initial section is taken as the lower limit of the estimated adjustment amount. At this time, the upper limit of the average track quality index of the first section 3.5 is higher than the target average track quality index, which does not meet the requirement, that is, only the current initial section is fine-tuned cannot achieve the fine-tuning effect of the line, so the section with an actual track quality index less than that of the initial section among all sections of the line is selected as the updated initial section. For example, the sequence number of the updated initial section is the 10th, and until the 10th section is selected, the upper limit of the estimated average track quality index meets the target average track quality index, so the adjustment amount range of the 10 sections is 10*0.2 km=5 km, which is the upper limit of the estimated adjustment amount, so the above-mentioned estimated adjustment amount is 0.2-5 km.

[0106] For another example, the adjustment starts from the section with the largest track quality index, and continues until the upper limit of the track quality index of the 20th section is less than or equal to the target average track quality index, so the lower limit of the estimated adjustment amount can be determined to be 20*0.2 km=4 km; whether the lower limit of the track quality index of each section is less than the target average track quality index is calculated, if not, the initial section is adjusted until the lower limit of the track quality index of the 35th section is less than or equal to the target average track quality index, so the upper limit of the estimated adjustment amount is 35*0.2 km=7 km, and the estimated adjustment amount of the line is 4-7 km, and the specific mileage section that needs to be adjusted preferentially and the estimated adjustment amount can be given for the maintenance decision-making scheme.

[0107] In some embodiments of the present application, the section adjustment amount can be estimated according to the upper limit or lower limit of the estimated average track quality calculated from the initial section alone. When the upper limit of the estimated average track quality index is less than the target average track quality index, the section adjustment amount is determined; when the lower limit of the estimated average track quality index is less than the target average track quality index, the section adjustment amount is determined.

[0108] As an embodiment herein, when the estimated average track quality index is greater than the target average track quality index, the step of selecting another section to update the initial section and returning to the step of estimating the fine adjustment effect of the initial section further comprises: selecting a section from all sections whose actual track quality index before fine adjustment is only less than that of the initial section as the updated initial section.

[0109] When the estimated average track quality index is greater than the target average track quality index, it means that after the initial section is fine adjusted, the track quality of the line cannot meet the expected expectation, and at least one section of the line needs to be further adjusted to make the average track quality index close to the target average track quality index and less than or equal to the target track quality index. Therefore, it is necessary to select a section from all sections whose actual track quality index before fine adjustment is only less than that of the initial section as the updated initial section, estimate the fine adjustment effect of the updated initial section, calculate the estimated average track quality index of the line according to the estimated fine adjustment effect of the updated initial section, and compare the estimated average track quality index with the target average track quality index. If the estimated average track quality index is less than or equal to the target average track quality index, no further estimated fine adjustment effect of other sections is needed.

[0110] In some embodiments of the present application, when the target average track quality index of the line is too small and far beyond the adjustable range of the line, the estimated lower limit of the average track quality index of the line after fine adjustment of all track sections may be greater than the target track quality index, so it is necessary to re-set the target average track quality index according to the actual situation.

[0111] As shown in Figure 6 Fig. 1 is a structural schematic diagram of a high-speed railway ballastless track fine adjustment operation dynamic estimation device according to an embodiment of the present application. The basic structure of the high-speed railway ballastless track fine adjustment operation dynamic estimation device is described in the figure, and the functional units and modules therein can be implemented in software, or can be implemented by using general-purpose chips or special-purpose chips. Some or all of the functional units and modules can be on the static detection and dynamic detection hardware, or some of them can also be on the static detection and dynamic detection hardware, to realize the interaction of the high-speed railway ballastless track fine adjustment operation dynamic estimation. The device specifically comprises:

[0112] The performance relationship calculation unit 601 is configured to calculate a performance relationship of the line before and after the fine adjustment operation according to the track geometry dynamic inspection data of the plurality of sections in the line before and after the fine adjustment operation, wherein the performance relationship represents a variation of the track geometry data before and after the fine adjustment operation;

[0113] The fine adjustment operation effect estimation unit 602 is configured to estimate the fine adjustment operation effect of the initial section according to the performance relationship and the actual track quality index of all sections in the line before the fine adjustment operation;

[0114] The average track quality index calculation unit 603 is configured to calculate an estimated average track quality index of the line according to the fine adjustment operation effect;

[0115] The estimated adjustment amount determination unit 604 is configured to determine an estimated adjustment amount of the initial section when the estimated average track quality index is less than or equal to a target average track quality index.

[0116] The return unit 605 is configured to select another section as the initial section when the estimated average track quality index is greater than the target average track quality index, and return to the step of estimating the fine adjustment operation effect of the initial section.

[0117] The scheme can estimate the fine adjustment operation section and the estimated adjustment amount of the high-speed railway ballastless track, fully excavate the relationship between the dynamic inspection data before and after the fine adjustment operation, thereby reducing the frequency of repeated operations, saving manpower and material resources, improving operation efficiency, and performing economic estimation to reasonably arrange maintenance and repair funds.

[0118] As an embodiment of the present disclosure, reference can also be made to FIG. 1. Figure 7 FIG. 2 shows a specific structural schematic diagram of a high-speed railway ballastless track fine adjustment operation dynamic estimation device according to an embodiment of the present disclosure.

[0119] As an embodiment of the present disclosure, the performance relationship calculation unit 601 further comprises a section division module 6011 configured to divide the line into a plurality of sections according to mileage units.

[0120] As an embodiment of the present disclosure, the fine adjustment operation effect estimation unit 602 further comprises:

[0121] The actual track quality index calculation module 6021 is configured to calculate the actual track quality index of all sections in the line.

[0122] The initial section determination module 6022 is configured to determine the initial section according to the actual track quality index of all sections in the line before the fine adjustment operation.

[0123] As an embodiment of this article, the estimated adjustment amount determination unit 604 further includes: a comparison module 6041, used to compare the estimated average orbital quality index with the target average orbital quality index;

[0124] As an embodiment of this document, the return unit 605 further includes: an initial segment update module 6051, used to select another segment to update the initial segment based on the comparison result between the estimated average orbital quality index and the target average orbital quality index.

[0125] like Figure 8 As shown in this embodiment, a computer device 802 may include one or more processors 804, such as one or more central processing units (CPUs), each of which can implement one or more hardware threads. The computer device 802 may also include any memory 806 for storing information of any kind, such as code, settings, data, etc. Non-limitingly, for example, the memory 806 may include any type of RAM, any type of ROM, flash memory, hard disk, optical disk, etc. More generally, any memory can use any technology to store information. Further, any memory can provide volatile or non-volatile retention of information. Further, any memory may represent a fixed or removable component of the computer device 802. In one case, when the processor 804 executes associated instructions stored in any memory or combination of memories, the computer device 802 can perform any operation of the associated instructions. The computer device 802 also includes one or more drive mechanisms 808 for interacting with any memory, such as hard disk drive mechanisms, optical disk drive mechanisms, etc.

[0126] Computer device 802 may also include an input / output module 810 (I / O) for receiving various inputs (via input device 812) and providing various outputs (via output device 814). A specific output mechanism may include a presentation device 816 and an associated graphical user interface (GUI) 818. In other embodiments, the input / output module 810 (I / O), input device 812, and output device 814 may be omitted, and the device may function solely as a computer device within a network. Computer device 802 may also include one or more network interfaces 820 for exchanging data with other devices via one or more communication links 822. One or more communication buses 824 couple the components described above together.

[0127] The communication links 822 can be implemented in any manner, such as through a local area network, a wide area network (e.g., the Internet), a point-to-point connection, etc., or any combination thereof. The communication links 822 can include any combination of hardwired links, wireless links, routers, gateway functionality, name servers, etc., governed by any protocol or combination of protocols.

[0128] Corresponding to the method in Figures 1 to 5 The embodiments herein also provide a computer readable storage medium, having stored thereon a computer program, which, when executed by a processor, performs the steps of the above-mentioned method.

[0129] The embodiments herein also provide a computer readable instruction, wherein the program in the computer readable instruction, when executed by a processor, causes the processor to perform the method as shown in Figures 1 to 5

[0130] It should be understood that the size of the serial number of the above-mentioned procedures in the various embodiments herein does not mean the order of execution, and the execution order of the procedures should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments herein.

[0131] It should also be understood that in the embodiments herein, the term "and / or" is only a description of the association relationship of the associated objects, which means that there can be three relationships. For example, A and / or B can represent the following three cases: A exists alone, A and B exist together, and B exists alone. In addition, the character " / " in this paper generally represents that the front and rear associated objects are in an "or" relationship.

[0132] Those skilled in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized in electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been described in the above description in general terms. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this paper.

[0133] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-mentioned system, device and unit can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0134] ​In several embodiments provided herein, it should be understood that the disclosed system, apparatus and method can be implemented in other manners. For example, the apparatus embodiments described above are merely schematic. For example, the division of the units is only a logical function division. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electric, mechanical or other form.

[0135] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e. may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiments provided herein.

[0136] In addition, each functional unit in each embodiment herein can be integrated into a processing unit, or each unit can be physically present separately, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0137] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on this understanding, the technical solutions herein, essentially or the part of the prior art that contributes to the technical solutions, or all or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment herein. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0138] The specific embodiments are applied herein to describe the principles and implementation manners of the embodiments herein. The above description of the embodiments is only to help understand the methods and core ideas thereof; meanwhile, for those skilled in the art, according to the ideas herein, the specific implementation manners and application ranges can be changed; and in view of the above, the content of the specification should not be understood as limiting the embodiments herein.

Claims

1. A dynamic prediction method for fine adjustment operation of high-speed railway ballastless track, characterized in that, The method comprises: According to the track geometry data before and after the fine adjustment operation of the plurality of sections in the line, the efficiency relationship of the line before and after the fine adjustment operation is calculated, which comprises: dividing the line into a plurality of sections according to a preset mileage unit; Comparing the first high-low standard deviation before the fine adjustment operation of the plurality of sections with the second high-low standard deviation after the fine adjustment operation to obtain the high-low standard deviation change of the plurality of sections; Taking the first standard deviation as the abscissa and the high-low standard deviation change as the ordinate, according to the first high-low standard deviation of the plurality of sections in the line and the high-low standard deviation change, the track data before and after the operation of the sections falls in the two-dimensional plane formed by the abscissa and the ordinate to form a point set distribution, and the boundary formed after removing the outliers of the point set is the efficiency relationship curve of the actual track quality index of the line before and after the fine adjustment operation, and the efficiency relationship reflects the change of the track geometry data before and after the fine adjustment operation; According to the efficiency relationship and the actual track quality index before the fine adjustment operation of all sections in the line, the fine adjustment operation effect of the initial section is estimated, the fine adjustment operation effect refers to the upper and lower limits of the track data after the fine adjustment operation, and the initial section is the section with the maximum actual track quality index among all sections before the fine adjustment operation; According to the fine adjustment operation effect of the initial section, the estimated average track quality index of the line is calculated; When the lower limit of the estimated average track quality index is less than or equal to the target average track quality index, the lower limit of the estimated adjustment amount is determined according to the product of the section sequence number of the initial section and the mileage unit; when the lower limit of the estimated average track quality index is greater than the target average track quality index, another section is selected to update the initial section, and the step of estimating the fine adjustment operation effect of the initial section is returned until the lower limit of the estimated track quality index is less than or equal to the target average track quality index, and the lower limit of the estimated adjustment amount is determined according to the product of the section sequence number of the updated initial section and the mileage unit; When the upper limit of the estimated average track quality index is less than or equal to the target average track quality index, the upper limit of the estimated adjustment amount is determined according to the product of the section sequence number of the initial section and the mileage unit; when the upper limit of the estimated average track quality index is greater than the target average track quality index, another section is selected to update the initial section, and the step of estimating the fine adjustment operation effect of the initial section is returned until the upper limit of the estimated track quality index is less than or equal to the target average track quality index, and the upper limit of the estimated adjustment amount is determined according to the product of the section sequence number of the updated initial section and the mileage unit; The estimated adjustment amount range is determined according to the upper limit of the estimated adjustment amount and the lower limit of the estimated adjustment amount.

2. The method of claim 1, wherein the method further comprises: determining a first dynamic adjustment value based on the first dynamic adjustment value and the first dynamic adjustment value; and determining a second dynamic adjustment value based on the second dynamic adjustment value and the first dynamic adjustment value. The step of estimating the fine adjustment operation effect of the initial section according to the efficiency relationship and the actual track quality index before the fine adjustment operation of all sections in the line further comprises: Selecting the section with the maximum actual track quality index before the fine adjustment operation among all sections as the initial section; Estimating the fine adjustment operation effect of the initial section according to the upper limit and the lower limit of the efficiency relationship.

3. The method of claim 2, wherein the method further comprises: determining a first dynamic adjustment value based on the first dynamic adjustment value and the first dynamic adjustment value; and determining a second dynamic adjustment value based on the second dynamic adjustment value and the first dynamic adjustment value. The step of estimating the fine adjustment operation effect of the initial section according to the upper limit and the lower limit of the efficiency relationship comprises: estimating an upper limit of track data after the initial section fine adjustment operation according to an upper limit of the performance relationship; estimating a lower limit of track data after the initial section fine adjustment operation according to a lower limit of the performance relationship; the upper limit and the lower limit of the track data constitute a fine adjustment operation effect of the initial section.

4. The method of claim 1, wherein the method further comprises: determining a dynamic adjustment value of the high-speed railway ballastless track based on the dynamic adjustment value of the high-speed railway ballastless track and the dynamic adjustment value of the high-speed railway ballastless track. calculating an upper limit and a lower limit of an estimated average track quality index of the line according to the fine adjustment operation effect of the initial section includes: calculating an upper limit and a lower limit of a track quality index after the fine adjustment operation of the initial section according to the upper limit and the lower limit of the track data in the fine adjustment operation effect of the initial section by using a track quality index calculation formula; calculating an estimated average track quality index of the line according to the upper limit and the lower limit of the track quality index after the fine adjustment operation of the initial section and actual track quality indexes before fine adjustment operations of other sections in the line, the estimated average track quality index including an upper limit and a lower limit of the estimated average track quality index.

5. The method of claim 1, wherein the method further comprises: determining a dynamic adjustment value based on the dynamic adjustment value table and the dynamic adjustment value table index; and adjusting the dynamic adjustment value based on the dynamic adjustment value table and the dynamic adjustment value table index. when the estimated average track quality index is greater than a target average track quality index, selecting another section to update the initial section and returning to the step of estimating the fine adjustment operation effect of the initial section further includes: selecting a section whose actual track quality index before the fine adjustment operation is only less than the actual track quality index before the fine adjustment operation of the initial section as the updated initial section.

6. A high-speed railway ballastless track fine adjustment operation dynamic prediction device, characterized in that, The device is applied to the method in any one of claims 1-5 and includes: a performance relationship calculation unit configured to calculate a performance relationship of the line before and after fine adjustment operations of multiple sections in the line according to track data before and after the fine adjustment operations, wherein the performance relationship represents a change amount of the track data before and after the fine adjustment operations; a fine adjustment operation effect estimation unit configured to estimate a fine adjustment operation effect of an initial section according to the performance relationship and actual track quality indexes before fine adjustment operations of all sections in the line, the fine adjustment operation effect being upper and lower limits of track data after the fine adjustment operation; an average track quality index calculation unit configured to calculate an estimated average track quality index of the line according to the fine adjustment operation effect; an estimated adjustment amount determination unit configured to determine an estimated adjustment amount of the initial section when the estimated average track quality index is less than or equal to a target average track quality index; a return unit configured to select another section to update the initial section and return to the step of estimating the fine adjustment operation effect of the initial section when the estimated average track quality index is greater than the target average track quality index.

7. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the method in any one of claims 1-5 when executing the computer program.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores the computer program, and the computer program is executed by the processor to implement the method in any one of claims 1-5.

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