Analysis Method and System for Detection Coverage Rate of a Railway Track Dynamic Inspection Instrument

Abstract

The present invention discloses an analysis method and system for the detection coverage rate of a railway track dynamic inspection instrument, which relates to the technical field of railway track safety detection. The method includes: collecting the track dynamic detection data obtained by each railway track dynamic inspection instrument; screening and cleaning the obtained track dynamic detection data to filter out the data that meets the preset conditions; analyzing the coverage of the railway track dynamic inspection instrument on each line based on the filtered data and performing visual display; automatically generating a coverage rate report in the form of an electronic spreadsheet according to the analysis result of the coverage. By accurately analyzing the coverage of the railway track dynamic inspection instrument on each line and intuitively displaying the analysis result, the present invention enables managers to better understand and analyze the track dynamic detection coverage rate data, improves the accuracy and efficiency of data interpretation, rationally allocates the locomotive operation routes equipped with railway track dynamic inspection instruments, and improves the coverage rate of track dynamic detection.

Description

Technical Field

[0001] The present invention relates to the technical field of railway detection, and particularly relates to an analysis method and system for the detection coverage rate of a railway track dynamic inspection instrument. Background Art

[0002] During the operation of railways, accurately counting and analyzing the coverage rate of railway track dynamic inspection instruments is an important means to evaluate railway operation efficiency, optimize train dispatching, and improve service quality. At present, the traditional analysis methods for the coverage rate of railway track dynamic inspection instruments mainly involve simple quantity statistics of the number of vehicles and train trips passing through a line, taking "line + trip" as the statistical condition. Even if the track dynamic inspection instrument has only run "one meter" on the line, it is counted as one detection coverage trip, resulting in a large deviation between the calculation result and the actual coverage situation, misleading the installation and deployment plan of railway track dynamic inspection instruments, and causing frequent line missed inspections, with a low effect on optimizing train dispatching plans and improving railway resource utilization. Moreover, they still have deficiencies in visual display, lacking intuitive and interactive chart displays, making it difficult to intuitively understand the meaning and change trend of coverage rate data. Therefore, the traditional coverage rate analysis methods not only limit the application effect of coverage rate data in optimizing locomotive dispatching and improving service quality, but also may lead to a decline in the overall operation efficiency and safety level of the railway system. To solve this problem, a more accurate, intuitive, and highly visual coverage rate analysis method has been developed for railway track dynamic inspection instruments to support the intelligent management and decision-making of the railway system. Summary of the Invention

[0003] The present invention provides an analysis method for the detection coverage rate of a railway track dynamic inspection instrument, including:

[0004] Step1: Collect the track dynamic detection data obtained by each railway track dynamic inspection instrument;

[0005] Step2: Obtain the boundary information of each line;

[0006] Step3: Statistically calculate the coverage mileage of each train equipped with a railway track dynamic inspection instrument on each line on the same day;

[0007] Step4: Taking the train trip as the ordinate and the mileage of the line boundary as the abscissa, generate a graph of the coverage frequency of all track dynamic detections on each line on the same day;

[0008] Step5: Combine the track dynamic detection coverage mileage of different train trips on each line on the same day to generate a graph of the overall track dynamic detection coverage rate of each line on the same day;

[0009] Step 6. Automatically generate a coverage rate report in the form of a spreadsheet according to the analysis results of the coverage situation.

[0010] An analysis method for the detection coverage rate of a railway track dynamic inspection instrument as described above, wherein the covered mileage of each train equipped with a railway track dynamic inspection instrument on each line on the same day is counted, which is specifically divided into the following sub-steps:

[0011] Query the track dynamic detection data of each train on each line on the same day;

[0012] Calculate the covered mileage of each train on each line according to the track dynamic detection data and the mileage data of the pipeline boundary.

[0013] An analysis method for the detection coverage rate of a railway track dynamic inspection instrument as described above, wherein the track dynamic detection covered mileage of different trains on each line on the same day is merged, which is specifically divided into the following sub-steps:

[0014] Define the start mileage and the end mileage of each train equipped with a railway track dynamic inspection instrument to obtain the covered interval of each train ;

[0015] Starting from the first interval, set , and merge each interval one by one;

[0016] If the next interval satisfies , then update: ;

[0017] Otherwise, record the currently merged interval as the first interval after merging, and reset to the new interval .

[0018] The present invention also provides an analysis system for the detection coverage rate of a railway track dynamic inspection instrument, including: a track dynamic detection data acquisition module, a pipeline boundary information acquisition module, a track dynamic detection coverage situation analysis module, and a track dynamic detection coverage rate report generation module;

[0019] The track dynamic detection data acquisition module is used to collect the track dynamic detection data obtained by each railway track dynamic inspection instrument;

[0020] The pipeline boundary information acquisition module is used to acquire the pipeline boundary information of each line;

[0021] The track dynamic detection coverage situation analysis module is used to analyze the coverage situation of the railway track dynamic inspection instrument on each line and perform visual display;

[0022] An on - track dynamic detection coverage rate report generation module, which is used to automatically generate a coverage rate report in the form of a spreadsheet according to the analysis results of the on - track dynamic detection coverage situation.

[0023] The beneficial effects achieved by the present invention are as follows: improving visualization effect: through intuitive and highly interactive visualization charts, managers can better understand and analyze the on - track dynamic detection coverage rate data, improving the accuracy and efficiency of interpreting on - track dynamic detection data.

[0024] Optimizing locomotive dispatching: By using the on - track dynamic detection coverage rate data, managers can timely discover the weak links in dynamic detection, optimize the dispatching plan of locomotives equipped with on - track dynamic inspection instruments, and improve the utilization efficiency of railway resources.

[0025] Improving the safety and reliability of the railway system: By accurately analyzing the on - track dynamic detection coverage situation of vehicles on each line, it helps to timely discover railway lines not covered by on - track dynamic detection, fully recognize potential railway safety hazards, and improve the on - track dynamic detection coverage rate by installing additional equipment or reasonable dispatching, thereby improving the safety and reliability of the railway system. Brief Description of the Drawings

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0027] Figure 1 is a flowchart of an analysis method for the detection coverage rate of an on - track dynamic inspection instrument provided in Embodiment 1 of the present application;

[0028] Figure 2 is a diagram of the on - track dynamic detection coverage frequency situation of a certain line on a certain day provided by the present application;

[0029] Figure 3 is a diagram of the on - track dynamic detection coverage rate situation of a certain line on a certain day provided by the present application;

[0030] Figure 4 is a diagram of the on - track dynamic detection coverage rate situation of a certain line in a certain month provided by the present application;

[0031] Figure 5 is a schematic diagram of an analysis system for the detection coverage rate of an on - track dynamic inspection instrument provided in Embodiment 2 of the present application. Detailed Embodiments

[0032] Combined with the accompanying drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0033] Embodiment 1

[0034] As Figure 1 shown, Embodiment 1 of the present application provides an analysis method for the detection coverage rate of a railway track dynamic inspector, including:

[0035] Step S110: Collect the track dynamic detection data obtained by each railway track dynamic inspector;

[0036] The railway track dynamic inspector is installed on the train and is used to obtain the dynamic detection data during the running of the train. The obtained data is stored in the track dynamic detection database, specifically including train number information, mileage information, trip number information, direction information, etc. These data are the basis for subsequent statistical analysis.

[0037] The collected track dynamic detection data needs to be screened and cleaned as necessary, and the data that meets the preset conditions is filtered out; the preset conditions include but are not limited to the specified line, direction, and date range; potential abnormal data also needs to be identified and excluded during the data cleaning process to ensure the accuracy of the analysis results.

[0038] Step S120: Obtain the boundary information of each line;

[0039] Including the starting boundary, ending boundary, and boundary length of each line and each train operation direction, also called the boundary mileage.

[0040] Step S130: Statistically calculate the covered mileage of each train number equipped with a railway track dynamic inspector on each line on the same day;

[0041] The traditional analysis method (with "line + trip" as the statistical condition) cannot accurately display the specific covered mileage of a single device on a specific line. To overcome the accuracy problem, in this step, a more refined statistical logic (with "line + train operation direction + mileage + trip + date" as the statistical condition) needs to be introduced to accurately record and display the actual covered mileage of each train equipped with a railway track dynamic inspector on each line.

[0042] The running mileage of a train trip on a line and in a certain direction during a day is continuous. By obtaining the minimum mileage and the maximum mileage of a certain train trip on a certain line and in a certain direction on a certain day, the track dynamic detection coverage mileage of a train trip on a certain line and in a certain direction can be determined. Traverse each line cyclically to obtain the specific data for a specified date, and get the track dynamic detection data of each train trip on each line on that day. Then calculate the track dynamic detection coverage mileage of each train trip on each line. The track dynamic detection coverage mileage of a certain train trip on a certain section of a line = the maximum value of the running mileage of the train trip on that line on that day - the minimum value. For example, train A runs from Shijiazhuang to Wuhan on that day, taking the Beijing-Guangzhou line. The total length of the Beijing-Guangzhou line is 2,200 kilometers. Shijiazhuang is located at the 280-kilometer mark (in the direction from Beijing to Guangzhou) of the entire mileage of the Beijing-Guangzhou line's jurisdiction, and Wuhan is located at the 1,200-kilometer mark. Then the coverage mileage of train A on the Beijing-Guangzhou line should be 1,200 - 280 = 920 kilometers.

[0043] Step S140: Generate a graph of the track dynamic detection coverage frequency for each line on that day, with the train trip as the vertical coordinate and the mileage of the line's jurisdiction as the horizontal coordinate.

[0044] The visual way can enable railway operation personnel to have a deeper understanding of the associations, trends, and patterns of the data, thus providing a more comprehensive information basis. And through appropriate design elements such as colors, lengths, shapes, etc., key information can be highlighted, which helps users quickly capture important data points and abnormal situations, avoid information omission, and thus enhance the accuracy and effectiveness of decision-making.

[0045] The graph of the track dynamic detection coverage frequency for a certain section of a line on a certain day is as Figure 2 shown. This graph reflects the specific coverage mileage of each train trip on a certain line on a certain day and the coverage times of different train trips in each section.

[0046] Step S150: Combine the track dynamic detection coverage mileage of different train trips on each line on that day to generate a graph of the track dynamic detection coverage rate for each line on that day.

[0047] To more intuitively display the track dynamic detection coverage rate of a line, next, the track dynamic detection coverage mileage of multiple train trips is mapped into a straight line through the method of mileage combination, that is, the overlapping mileage of train trips is combined, and the non-overlapping parts are spliced, while retaining the intervals without track dynamic detection coverage. Finally, a graph of the track dynamic detection coverage rate is obtained. The graph of the track dynamic detection coverage rate for a certain line on a certain day is as Figure 3 shown. The rules for mileage combination are as follows:

[0048] First, define the start mileage and the end mileage , obtain the track dynamic detection coverage interval for each train number , starting from the first interval, set , merge the intervals one by one. If the next interval satisfies , then update: , otherwise, record the currently merged interval as the first interval after merging, and then reset to a new interval , and so on until the merging of the last interval is completed. At this time, is the last interval after merging.

[0049] For example: There are currently interval 1 (100, 200), interval 2 (150, 250), and interval 3 (300, 400); initialize the current interval using the first interval, then is (100, 200); since 150 in interval 2 < 200, then is updated to 250. Currently, is (100, 250); since 300 in interval 3 > 250, record the current interval as the first interval after merging , and reset the current interval using interval 3 . Since interval 3 is the last interval, the merging operation is completed, and the current interval is output as the last interval after merging, ;

[0050] Add up the merged intervals to obtain the track dynamic detection coverage mileage. Then, divide the track dynamic detection coverage mileage by the line boundary length to get the track dynamic detection coverage rate. The track dynamic detection coverage rate for each line per day can also be converted into a visual chart;

[0051]

[0052] where j takes values from 1 to m, and m is the number of merged intervals. It is also possible to view data for multiple days. For example, to view the track dynamic detection coverage of a certain line within a month, a graph showing the track dynamic detection coverage rate of a certain line in a certain month is as shown in Figure 4 .

[0053] Step S160: Automatically generate a coverage rate report in the form of a spreadsheet based on the analysis results of the track dynamic detection coverage;

[0054] The report includes key indicators such as line name, direction, coverage rate, the number of days in different coverage rate intervals, and the average line coverage rate. The generated report supports retroactive query and can be exported into visual charts. Finally, by using each indicator, the operators can achieve a more perfect dispatching of the railway track dynamic detector, enabling balanced and effective detection and maintenance of each line.

[0055] Embodiment 2

[0056] As Figure 5 shown, Embodiment 2 of the present application provides an analysis system for the detection coverage rate of a railway track dynamic detector, including: an on-vehicle data acquisition module 21 for track dynamic detection, a boundary information acquisition module 22, an analysis module 23 for the coverage situation of track dynamic detection, and a report generation module 24 for the detection coverage rate of track dynamic detection;

[0057] The on-vehicle data acquisition module 21 for track dynamic detection collects the track dynamic detection data obtained by each railway track dynamic detector.

[0058] The railway track dynamic detector is installed on the train and is used to obtain the track dynamic detection data during the running of the train. The obtained data are all stored in the track dynamic detection database, specifically including train number information, mileage information, trip number information, direction information, etc. These data are the basis for subsequent statistical analysis.

[0059] The collected track dynamic detection data needs to be screened and cleaned as necessary to filter out the data that meet the preset conditions; the preset conditions include but are not limited to the specified line, direction, and date range; potential abnormal data also needs to be identified and excluded during the data cleaning process to ensure the accuracy of the analysis results.

[0060] The boundary information acquisition module 22 is used to obtain the boundary information of each line;

[0061] It includes the starting boundary, ending boundary, and boundary length of each line and each train operation direction, which is also called the boundary mileage.

[0062] The analysis module 23 for the coverage situation of track dynamic detection is used to analyze the coverage situation of the vehicle on each line and display it visually;

[0063] The traditional analysis method (with "line + trip" as the statistical condition) cannot accurately calculate the true coverage mileage of each line. To overcome the accuracy problem, in this step, a more refined statistical logic (with "line + train operation direction + mileage + trip + date" as the statistical condition) needs to be introduced to accurately record and display the actual dynamic detection coverage mileage of each train equipped with a railway track dynamic detector on each line. Specifically:

[0064] I. Statistically calculate the track dynamic detection coverage mileage of each train equipped with a track dynamic inspection instrument on each line on the same day;

[0065] The running mileage of a train on a line and a running direction in a day is continuous. By obtaining the minimum mileage and the maximum mileage of the train on a certain line and running direction on a certain day, the track dynamic detection coverage mileage of the train on the line and running direction can be determined. Traverse each line to obtain the specific data for the specified date, get the running data of each train on each line every day, and then calculate the track dynamic detection coverage mileage of each train on each line. The track dynamic detection coverage mileage of a certain train on a certain section of the line = the maximum value of the running mileage of the train on the line on that day - the minimum value. For example, train A runs from Shijiazhuang to Wuhan on that day, taking the Beijing-Guangzhou line. The Beijing-Guangzhou line is 2,200 kilometers long. Shijiazhuang is located at the 280-kilometer mark of the entire jurisdiction mileage of the Beijing-Guangzhou line (in the direction from Beijing to Guangzhou), and Wuhan is located at the 1,200-kilometer mark of the entire jurisdiction mileage. Then the coverage mileage of train A on the Beijing-Guangzhou line should be 1,200 - 280 = 920 kilometers.

[0066] II. Taking the train number as the vertical coordinate and the line jurisdiction mileage as the horizontal coordinate, generate the track dynamic detection coverage frequency situation diagram of each line on the same day;

[0067] Visualization can enable railway operation personnel to have a deeper understanding of the associations, trends, and patterns in the data, thereby providing a more comprehensive information basis. And through appropriate design elements such as colors, lengths, and shapes, key information can be highlighted, which helps users quickly capture important data points and anomalies, avoid information omission, and thus enhance the accuracy and effectiveness of decision-making.

[0068] The track dynamic detection coverage frequency situation diagram of a certain line on a certain day is as Figure 2 shown. This diagram reflects the specific coverage mileage of each train on a certain line on a certain day and the coverage times of different trains in each section.

[0069] III. Combine the track dynamic detection coverage mileage of different trains on each line on the same day to generate the track dynamic detection coverage rate situation diagram of each line on the same day;

[0070] To more intuitively display the track dynamic detection coverage rate situation of a line, next, through the method of mileage merging, the track dynamic detection coverage mileage of multiple trains is mapped into a straight line, that is, the overlapping mileage of the trains is merged, and the non-overlapping parts are spliced, while retaining the intervals without dynamic detection coverage. Finally, a track dynamic detection coverage rate situation diagram is obtained. The track dynamic detection coverage rate situation diagram of a certain line on a certain day is as Figure 3 shown. The rules for mileage merging are as follows:

[0071] First, define the starting mileage of each train number and the ending mileage , to obtain the coverage interval of each train number . Starting from the first interval, set , and merge the intervals one by one. If the next interval satisfies , then update: . Otherwise, record the currently merged interval as the first interval after merging, and then reset to a new interval . And so on until the merging of the last interval is completed. At this time, is the last interval after merging.

[0072] Adding up the merged intervals can obtain the track dynamic detection coverage mileage. Then, dividing the track dynamic detection coverage mileage by the line boundary length can obtain the track dynamic detection coverage rate. The track dynamic detection coverage rate of each line per day can also be converted into a visual chart;

[0073] Among them is the starting mileage of the j-th interval after merging, is the ending mileage of the j-th interval after merging. j takes values from 1 to m, where m is the number of merged intervals. It is also possible to view data for multiple days, such as viewing the track dynamic detection coverage of a certain line within a month. The track dynamic detection coverage rate situation chart of a certain line in a certain month is as shown in Figure 4 .

[0074] The track dynamic detection coverage rate report generation module 24 is used to automatically generate a track dynamic detection coverage rate report in the form of a spreadsheet according to the analysis results of the coverage situation;

[0075] The report includes key indicators such as line name, direction, coverage rate, the number of days occupied by different coverage rate intervals, and the average line coverage rate. The generated report supports retroactive query and can be exported into a visual chart. Finally, by using each indicator, the operator can achieve more perfect scheduling of the railway track dynamic detector, so that each line can be evenly and effectively detected and maintained.

[0076] Corresponding to the above embodiment, an embodiment of the present invention provides a computer storage medium, including: at least one memory and at least one processor;

[0077] The memory is used to store one or more program instructions;

[0078] The processor is used to run one or more program instructions to execute an analysis method for the detection coverage rate of a railway track dynamic detector.

[0079] Corresponding to the above embodiments, an embodiment of the present invention provides a computer-readable storage medium, which contains one or more program instructions for a processor to execute an analysis method for the detection coverage rate of a railway track dynamic inspection instrument.

[0080] An embodiment disclosed by the present invention provides a computer-readable storage medium, in which computer program instructions are stored. When the computer program instructions run on a computer, the computer is enabled to execute the above-mentioned analysis method for the detection coverage rate of a railway track dynamic inspection instrument.

[0081] In an embodiment of the present invention, the processor may be an integrated circuit chip with the ability to process signals. The processor may be a general-purpose processor, a digital signal processor (DSP for short), an application-specific integrated circuit (ASIC for short), a field-programmable gate array (FPGA for short), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0082] It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor, or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the embodiments of the present invention can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The processor reads the information in the storage medium and combines its hardware to complete the steps of the above method.

[0083] The storage medium may be a memory, for example, it may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories.

[0084] Among them, the non-volatile memory may be a read-only memory (ROM for short), a programmable read-only memory (PROM for short), an erasable programmable read-only memory (EPROM for short), an electrically erasable programmable read-only memory (EEPROM for short), or a flash memory.

[0085] The volatile memory may be a Random Access Memory (RAM) which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM).

[0086] The storage media described in the embodiments of the present invention are intended to include, but are not limited to, these and any other suitable types of memory.

[0087] Those skilled in the art should be able to realize that in one or more of the above examples, the functions described in the present invention can be implemented by a combination of hardware and software. When applying software, the corresponding functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. The computer-readable medium includes computer storage media and communication media, where the communication media includes any medium that facilitates the transfer of a computer program from one place to another. The storage media can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0088] The specific embodiments described above further elaborate on the objectives, technical solutions, and beneficial effects of the present invention. It should be understood that the above description is only the specific embodiments of the present invention and is not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for analyzing the detection coverage of a railway track dynamic inspection instrument, characterized in that: include: Step 1: Collect the track dynamic detection data obtained by each railway track dynamic inspection instrument; The railway track dynamic inspection instrument is installed on the train to obtain dynamic detection data during the train operation, including train number information, mileage information, trip number information, and direction information; Step 2, obtain the pipe boundary information of each line; Step 3: Count the mileage covered by each train equipped with a railway track dynamic inspection device on each line on that day; With "line + line type + mileage + trip number + date" as the statistical condition, the actual coverage mileage of each train equipped with a railway track dynamic inspection instrument on each line is recorded and displayed. First, the maximum and minimum mileage of each train on each line and each line on the specified date are obtained, and the track dynamic inspection coverage mileage of each train on each line is obtained by subtracting the minimum running mileage from the maximum running mileage; Step 4. Using the train number as the ordinate and the line boundary mileage as the abscissa, generate a dynamic detection coverage frequency situation diagram of all tracks running on each line on that day; Step 5. Combine the track dynamic detection coverage mileage of different trains on each line on the day to generate a dynamic detection coverage rate chart of all tracks on each line on the day; The merging rule is: merge the overlapping mileage of trains, splice the non-overlapping parts, and retain the sections that are not covered by track dynamic detection. First, define the starting mileage of each train. and end mileage , get the track dynamic detection coverage interval for each train , starting from the first interval, let , merge intervals one by one, if the next interval satisfy , then update: , otherwise the current merged interval Record as the first interval after merging, and then Reset to new range , and so on until the last interval is merged. This is the last section after merging. Adding the merged sections together is the track dynamic detection coverage mileage. in They represent the starting mileage and ending mileage of the jth interval after merging, j ranges from 1 to m, and m is the number of intervals after merging; Step 6. Automatically generate a coverage report in spreadsheet format based on the coverage analysis results.

2. The analysis method of the detection coverage of a railway track dynamic inspection instrument according to claim 1 is characterized in that: The mileage covered by each train equipped with a railway track dynamic inspection device on each line on that day is counted, which is specifically divided into the following sub-steps: Query the operation data of each train equipped with a railway track dynamic inspection instrument on each line on that day; The track dynamic detection coverage mileage of each train on each line is calculated based on the train operation data and boundary mileage data.

3. The analysis method of the detection coverage of a railway track dynamic inspection instrument according to claim 2 is characterized in that: The coverage rate is calculated as follows: add the merged intervals to obtain the track dynamic detection coverage mileage, and then obtain the track dynamic detection coverage rate by dividing the track dynamic detection coverage mileage by the line boundary length.

4. A computer storage medium, characterized in that: include: at least one memory and at least one processor; A memory for storing one or more program instructions; A processor is used to run one or more program instructions to execute the analysis method of the detection coverage of a railway track dynamic inspection instrument as described in any one of claims 1-3.

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