A catenary locator stress anomaly identification method and system

Abstract

The present application relates to the field of catenary detection, and particularly relates to a catenary locator stress anomaly identification method and system, wherein the method comprises: obtaining coordinate data of positioning points of a contact line in a railway line to be analyzed, a horizontal coordinate of a positioning point being a position of the positioning point, and a vertical coordinate of the positioning point being a pull-out value of the positioning point; calculating a distance of each positioning point from a straight line formed by adjacent positioning points thereof; determining whether the distance of each positioning point from the straight line formed by adjacent positioning points thereof is less than a first predetermined value, and if yes, determining that the locator at the positioning point is abnormal, wherein the first predetermined value is determined according to distance values of positioning points to adjacent positioning points forming a straight line in a plurality of railway lines. The present application can automatically identify abnormal locators without human intervention, and can give the position of the abnormal locators. The present application can improve the efficiency of catenary detection and maintenance, and avoid missed detection problems.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of catenary detection, and in particular to a catenary positioner stress anomaly identification method and system. BACKGROUND

[0002] The train running in the electrified railway section obtains voltage and current from the contact wire through the pantograph, and converts the electric energy into mechanical energy to drive the train running through the motor. The good service state of the contact wire and the carbon slide plate of the pantograph is an important guarantee for the safe operation of the train. In order to avoid excessive friction of the contact wire at the local position of the carbon slide plate of the pantograph, the positioner 110 fixes the contact wire 120 into a segmented "folded line" (as shown in Figure 1 ), so that the contact wire makes reciprocating motion along the carbon slide plate of the running pantograph. The distance of the positioning point from the longitudinal center line of the bow head is called "pull-out value", wherein the positioning point is the intersection of the positioner and the contact wire, that is Figure 1 the position of the positioner. If the positioner is abnormally stressed, the contact wire near the positioning point changes from a folded line shape to an approximately straight line shape (as shown in Figure 2 ), which is not conducive to good contact between the contact wire and the carbon slide plate of the pantograph.

[0003] The displacement sensor on the roof of the train can continuously record the kilometer marker and pull-out value data of the position of the positioner, and thus give a pull-out value waveform diagram, as shown in Figure 3 , wherein the vertical coordinate is the pull-out value and the horizontal coordinate is the kilometer marker. In the prior art, the analysis of the abnormal stress of the positioner includes the following two methods:

[0004] The first method is achieved by manually judging the pull-out value waveform. However, the distance between two adjacent positioners in a normal line is about 50m, and there are a large number of positioners in a line. The method of manually judging the abnormal positioner and recording the kilometer marker has the problems of long time, waste of manpower and missed analysis.

[0005] The second method is based on the operation and maintenance rules of high-speed railway catenary. The pull-out value has a certain limit value, for example, 450mm. The existing technical means mainly identify the positioner whose pull-out value exceeds the limit value, and then maintain the abnormal positioner. This detection method has the problems of incomplete abnormal detection and easy missed detection. SUMMARY

[0006] The present application is used to solve the problems of waste of manpower, low detection efficiency, low detection accuracy and missed detection in the prior art of high-speed railway positioner stress anomaly detection.

[0007] In order to solve the above technical problems, the first aspect of the present application provides a catenary positioner stress anomaly identification method, comprising:

[0008] Obtaining coordinate data of positioning points of a contact line in a railway line to be analyzed, a horizontal coordinate of the positioning points being a position of the positioning points, and a vertical coordinate of the positioning points being a pulling-out value of the positioning points;

[0009] Calculating a distance of each positioning point from a straight line formed by adjacent positioning points thereof;

[0010] Determining whether the distance of each positioning point from the straight line formed by the adjacent positioning points thereof is less than a first predetermined value, and if so, determining that a positioner at the positioning point is abnormally stressed, wherein the first predetermined value is determined according to distance values of the positioning points from the straight line formed by adjacent positioning points thereof in a plurality of railway lines.

[0011] As a further embodiment herein, the first predetermined value is determined according to the distance values of the positioning points from the straight line formed by adjacent positioning points thereof in a plurality of railway lines, comprising:

[0012] Determining a distribution curve of the distance values according to the distance values of the positioning points from the straight line formed by adjacent positioning points thereof in a plurality of railway lines;

[0013] Determining a distance value corresponding to a first predetermined proportion when the distance value is less than the first predetermined proportion according to the distribution curve of the distance values;

[0014] Taking the distance value corresponding to the first predetermined proportion when the distance value is less than the first predetermined proportion as the first predetermined value.

[0015] As a further embodiment herein, the calculating of the distance of each positioning point from the straight line formed by adjacent positioning points thereof comprises calculating the distance of each positioning point from the straight line formed by adjacent positioning points thereof by using a formula as follows:

[0016]

[0017] A = y2 - y1; B = x1 - x2; C = x2y1 - x1y2;

[0018] wherein (x0, y0) is a coordinate value of an intermediate positioning point X0, (x1, y1) and (x2, y2) are coordinate values of adjacent positioning points X1 and X2 respectively, x0, x1 and x2 are positions of the positioning points, y0, y1 and y2 are pulling-out values of the positioning points, and d is the distance of the intermediate positioning point X0 from the straight line formed by the adjacent positioning points X1 and X2.

[0019] As a further embodiment herein, the calculating of the distance of each positioning point from the straight line formed by adjacent positioning points thereof further comprises:

[0020] Calculating a position difference of positioning points located at two ends of three consecutive positioning points, and screening out the three consecutive positioning points with the position difference within a preset position difference range;

[0021] Screening out positioning points with the same horizontal coordinate according to the coordinates of the positioning points;

[0022] delete the screened positioning points from all the positioning points. A preset position difference range

[0023] As a further embodiment herein, the catenary locator force abnormality identification method further comprises:

[0024] calculating a position difference of each two adjacent positioning points;

[0025] screening out the adjacent positioning points whose position difference exceeds a standard deviation threshold value;

[0026] from the pull-out value waveform image of the railway line, obtaining a sub-image, wherein the sub-image is a pull-out value waveform image between the screened adjacent positioning points;

[0027] determining an included angle value between straight lines in the sub-image;

[0028] judging whether the included angle value is greater than a second predetermined value, wherein the second predetermined value is determined according to the included angle of two straight lines at the positioning points in multiple railway lines;

[0029] if the included angle value is greater than the second predetermined value, determining that the locator force of the sub-image corresponding positioning point is abnormal.

[0030] As a further embodiment herein, after obtaining the waveform image of the pull-out value of the railway line, further comprising:

[0031] performing gray scale processing on the waveform image of the pull-out value.

[0032] As a further embodiment herein, the second predetermined value is determined according to the included angle of two straight lines at the positioning points in multiple railway lines, comprising:

[0033] determining a distribution curve of the included angle according to the included angle of two straight lines at the positioning points in multiple railway lines;

[0034] determining the included angle corresponding to the second predetermined proportion when the included angle is less than the second predetermined proportion according to the distribution curve of the included angle;

[0035] taking the included angle corresponding to the second predetermined proportion when the included angle is less than the second predetermined proportion as the second predetermined value.

[0036] The second aspect of the present application provides a catenary locator force abnormality identification system, comprising:

[0037] a coordinate determination module for obtaining coordinate data of positioning points of a contact line in a railway line to be analyzed, the horizontal coordinate of the positioning point being the position of the positioning point, and the vertical coordinate of the positioning point being the pull-out value of the positioning point;

[0038] a distance calculation module for calculating the distance of each positioning point from the straight line formed by its adjacent positioning points;

[0039] The distance analysis module is configured to determine whether the distance between each positioning point and its adjacent positioning point is less than a first predetermined value, and if so, determine that the positioner at the positioning point is abnormal.

[0040] A third aspect of the present document provides a computer device, comprising a memory, a processor, and a computer program stored in the memory, when the computer program is run by the processor, instructions of the method of any one of the preceding embodiments are executed.

[0041] A fourth aspect of the present document provides a computer storage medium, having a computer program stored thereon, when the computer program is run by a processor of a computer device, instructions of the method of any one of the preceding embodiments are executed.

[0042] The method and system for identifying abnormal force of the positioner of the overhead contact system provided in the present document can automatically identify the abnormal positioner without human intervention, and can give the position of the abnormal positioner, and can improve the efficiency of detection and maintenance of the overhead contact system and avoid the problem of missed detection.

[0043] In order to make the above and other objects, features and advantages of the present document more apparent and understandable, the following will describe preferred embodiments, and the accompanying drawings will be described in detail as follows. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present document, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0045] Figure 1 A first schematic diagram of the positioner and the contact wire in the embodiments of the present document is shown;

[0046] Figure 2 A second schematic diagram of the positioner and the contact wire in the embodiments of the present document is shown;

[0047] Figure 3A waveform diagram of the pull-out value of the embodiment is shown;

[0048] Figure 4 A first flow chart of the contact net locator stress abnormality identification method of the embodiment is shown;

[0049] Figure 5 A flow chart of the first predetermined value calculation process of the embodiment is shown;

[0050] Figure 6 A flow chart of the positioning point data screening process of the embodiment is shown;

[0051] Figure 7 A second flow chart of the contact net locator stress abnormality identification method of the embodiment is shown;

[0052] Figure 8 A flow chart of the second predetermined value calculation process of the embodiment is shown;

[0053] Figure 9 A first structure diagram of the contact net locator identification system of the embodiment is shown;

[0054] Figure 10 A second structure diagram of the contact net locator identification system of the embodiment is shown;

[0055] Figure 11 A structure diagram of the computer device of the embodiment is shown.

[0056] Explanation of the drawing symbols:

[0057] 110, locator;

[0058] 120, contact wire;

[0059] 910, coordinate determination module;

[0060] 920, distance calculation module;

[0061] 930, distance analysis module;

[0062] 940, position difference calculation module;

[0063] 950, screening module;

[0064] 960, image acquisition module;

[0065] 970, angle calculation module;

[0066] 980, angle analysis module;

[0067] 1102, computer device;

[0068] 1104, processor;

[0069] 1106, memory;

[0070] 1108, drive mechanism;

[0071] 1110, input / output module;

[0072] 1112, input device;

[0073] 1114, output device;

[0074] 1116, presentation device;

[0075] 1118, graphical user interface;

[0076] 1120, network interface;

[0077] 1122, communication link;

[0078] 1124, communication bus. DETAILED DESCRIPTION

[0079] The technical solutions in the embodiments herein will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments herein. Obviously, the described embodiments are only part of the embodiments herein, rather than all the embodiments. Based on the embodiments herein, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection herein.

[0080] It should be noted that the terms "first", "second", and the like in the specification and claims herein and the above-described accompanying drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments herein described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, device, product, or apparatus comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to the process, method, product, or apparatus.

[0081] The specification herein 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 work. 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 can be executed in sequence or in parallel as shown in the embodiments or the accompanying drawings.

[0082] It should be noted that the data involved in the present application (including but not limited to data for analysis, stored data, displayed data, etc.) are all information and data authorized by the user or fully authorized by all parties.

[0083] In an embodiment, a catenary locator stress anomaly identification method is provided, which is used to solve the problems of waste of manpower, low detection efficiency, low detection accuracy and missed detection in the prior art. Specifically, as shown in Figure 4 The catenary locator stress anomaly identification method includes the following steps.

[0084] Step 410: Obtain coordinate data of a positioning point of a contact wire in a railway line to be analyzed, and establish a coordinate system on a plane formed by the positioning points, wherein the horizontal coordinate of the positioning point is the position of the positioning point, and the vertical coordinate of the positioning point is the pull-out value of the positioning point.

[0085] Step 420: Calculate the distance of each positioning point from a straight line formed by adjacent positioning points of the positioning point, for example, the adjacent positioning points of the positioning point B are A and C, and a straight line can be determined according to the coordinates of the adjacent positioning points A and C. Step 420 is used to calculate the distance of the positioning point B from the straight line formed by the positioning points A and C.

[0086] Step 430: Determine whether the distance of each positioning point from the straight line formed by the adjacent positioning points is less than a first predetermined value. If yes, it is determined that the locator at the positioning point is abnormal. If the distance of a certain positioning point from the straight line formed by the adjacent positioning points is greater than or equal to the first predetermined value, it is determined that the locator at the positioning point is normal. The first predetermined value is determined according to the distance of the positioning point from the straight line formed by the adjacent positioning points in multiple railway lines.

[0087] The present embodiment is applicable to standard railway lines, i.e. straight railway lines. By analyzing the coordinates of the positioning points, the locator with abnormal stress can be identified, and the kilometer marker of the abnormal locator can be given, thereby improving the efficiency of catenary detection and maintenance and ensuring the comprehensiveness of detection and maintenance. In specific implementation, in order to further identify abnormal conditions, the pull-out value waveform image near the abnormal locator can also be obtained and sent to the intelligent terminal of the operation and maintenance personnel, so that the operation and maintenance personnel can determine the specific abnormal type of the locator and perform corresponding maintenance operations.

[0088] In detail, the positioning point of the contact wire described herein refers to the point where the contact wire contacts the locator. The position of the positioning point represents the kilometer marker of the locator, and the pull-out value of the positioning point represents the distance of the positioning point from the longitudinal center line of the bow.

[0089] The step 410 is implemented, and the coordinate data of the contact line positioning point is determined according to the information collected by the displacement sensor installed on the train. Specifically, the signal measured by the displacement sensor is sent to a data processing unit (for example, located at the server end), the data processing unit processes the signal sent by the displacement sensor to obtain the pull-out value at the positioning point, the position of each positioning point is determined according to the design data of the positioner, and the data processing unit constructs the coordinate data of the positioning point according to the position of the positioning point and the pull-out value.

[0090] In the step 420, every three consecutive positioning points are assumed to be a positioning point group, and for each positioning point group, the distance between the middle positioning point and the two end positioning points to form a straight line is calculated by the following formula:

[0091]

[0092] A = y2-y1; B = x1-x2; C = x2y1-x1y2;

[0093] Wherein, (x0, y0) is the coordinate value of the middle positioning point X0, (x1, y1) and (x2, y2) are the coordinate values of the adjacent positioning points X1 and X2 of the middle positioning point X0, A, B and C are parameters of the straight line expression (Ax+By+C=0) formed by the two adjacent positioning points X1 and X2, x0, x1 and x2 are the positions of the positioning points, y0, y1 and y2 are the pull-out values of the positioning points, and d is the distance from the middle positioning point X0 to the straight line formed by the adjacent positioning points X1 and X2.

[0094] The above formula can be determined according to the distance formula from a point to a straight line, and the specific derivation process can refer to the prior art, which will not be described here.

[0095] In the step 430, the first predetermined value is for example 0.016, which is used as a basis for judging the abnormal force of the positioner, and can reflect the abnormal distribution of the distance from the positioning point to the straight line formed by the adjacent positioning points. The value of the first predetermined value is not limited in this paper. When the positioner at the positioning point is abnormal, the force of the positioner is usually reduced.

[0096] In some embodiments, as shown in FIG. 5, the first predetermined value is determined according to the distance values from the positioning points to the straight lines formed by the adjacent positioning points in the plurality of railway lines, including: Figure 5

[0097] In step 510, a distribution curve of the distance values is determined according to the distance values from the positioning points to the straight lines formed by the adjacent positioning points in the plurality of railway lines.

[0098] In step 520, the distance value corresponding to the first predetermined proportion is determined according to the distribution curve of the distance values.

[0099] ​Step 530, taking the distance value corresponding to the first predetermined proportion as the first predetermined value.

[0100] The plurality of railway lines described herein is greater than two, which refers to a plurality of railway lines in the existing railway lines, which can include railway lines to be analyzed. Considering that normal locators account for the majority, the distance value difference between most positioning points and their adjacent positioning points that form a straight line is not large, and the distance value of the normal locator related positioning points and their adjacent positioning points that form a straight line accounts for a large proportion.

[0101] In step 520, the first predetermined proportion is, for example, 5%, 10%, 20%, etc., and in specific implementation, it can be determined by a person according to the recognition accuracy.

[0102] In an embodiment herein, considering that the pull-out value waveform of the positioning point at the special position is relatively complex, the method shown in Figure 4 In order to improve the accuracy of identifying abnormal positioning points, as shown in Figure 6 Before step 420 calculates the distance of each positioning point from the adjacent positioning point that forms a straight line, the positioning point data at the special position is removed from the positioning point data, and the specific removal process includes:

[0103] Step 411, calculate the position difference of the positioning points at both ends in the continuous three positioning points, and select the continuous three positioning points with the position difference within the preset position difference range, wherein the preset position difference range is the distance range of the positioning points at the special position (i.e. non-straight position).

[0104] Step 412, according to the coordinates of the positioning points, select the positioning points with the same horizontal coordinates.

[0105] Step 413, delete the selected positioning points from all positioning points.

[0106] Through step 411, the positioning points at special positions such as phase separation sections and station yard sections can be identified, and the preset position difference range is determined according to the position difference between the positioning points at the special position. In a specific implementation, the preset position difference range is, for example, less than 0.05 or greater than 0.2.

[0107] Because the part of the pull-out value waveform at the section is repeated, the positioning points at the section can be identified through step 412.

[0108] Through step 413, it can be ensured that the remaining positioning point data is the positioning point data at the normal position.

[0109] The embodiment can identify the locators at the special position, delete the positioning point data at the special position, and prevent misjudgment.

[0110] In further embodiments, the extracted positioning point data or the pull-out value waveform image within a predetermined range near the positioning point can be sent to the intelligent terminal of the operation and maintenance personnel for display, so that the operation and maintenance personnel can make further analysis and judgment according to the intelligent device display information.

[0111] In an embodiment, considering that the coordinate data of the positioning point in the railway line to be analyzed may be lost in step 410, the analysis of the abnormal force condition of the positioner at the positioning point is not comprehensive, such as Figure 7 As shown in the figure, the catenary positioner force abnormality identification method includes steps 410-430, and further includes:

[0112] Step 710: Calculate the position difference between each two adjacent positioning points.

[0113] Step 720: Screen out adjacent positioning points whose position difference exceeds the standard deviation threshold.

[0114] Step 730: Obtain a sub-image from the pull-out value waveform image of the railway line, wherein the sub-image is the pull-out value waveform image between the screened adjacent positioning points.

[0115] Step 740: Determine the included angle value between the straight lines in the sub-image.

[0116] Step 750: Determine whether the included angle value is greater than a second predetermined value, wherein the second predetermined value is determined according to the included angle of two straight lines at the positioning point in the plurality of railway lines. If the included angle value is greater than the second predetermined value, it is determined that the positioner corresponding to the sub-image is abnormal. If the included angle value is less than or equal to the second predetermined value, it is determined that the positioner corresponding to the sub-image is normal.

[0117] In step 710, the horizontal coordinates of each two adjacent positioning points are subtracted to calculate the position difference between each two adjacent positioning points.

[0118] In step 720, the standard deviation threshold is the kilometer marker difference value between adjacent positioners in a straight line. If the position difference of adjacent positioning points exceeds the standard deviation threshold, it is considered that there is positioning point data loss between the adjacent positioning point data, otherwise, it is considered that there is no positioning point data loss between the adjacent positioning point data.

[0119] In step 730, the pull-out value waveform image can be obtained from the data processing unit connected to the displacement sensor on the train, and then the sub-image is cut from the pull-out value waveform image according to the coordinate data of the adjacent positioning points screened in step 720. Each sub-image has two intersecting straight lines, i.e. the pull-out value line. Further, in order to improve the calculation accuracy of the included angle value, the pull-out value waveform image is subjected to gray scale processing after being obtained. The implementation process of gray scale processing can refer to the prior art, which is not limited herein.

[0120] The second predetermined value in step 750 can be set according to the identification accuracy, for example, 135°, and the specific value thereof is not limited herein.

[0121] The embodiment can identify whether the positioning point data is lost, and in the case that the positioning point data is lost, the state of the positioner at the lost positioning point is determined by acquiring and analyzing the corresponding sub-image, which can ensure the comprehensiveness of the positioning point analysis and avoid omissions.

[0122] In an embodiment, as shown in Figure 8 The second predetermined value is determined according to the included angle of two straight lines at the positioning point in the plurality of railway lines, including:

[0123] In step 810, a distribution curve of the included angle is determined according to the included angle of two straight lines at each positioning point in the pull-out value waveform image of the plurality of railway lines.

[0124] In step 820, the included angle corresponding to the second predetermined proportion is determined according to the distribution curve of the included angle.

[0125] In step 830, the included angle corresponding to the second predetermined proportion is taken as the second predetermined value.

[0126] Step 810 can determine the included angle of two straight lines at the positioning point by using the existing image analysis method, and calculate the distribution curve of the included angle according to the existing calculation method of the distribution curve, and the specific calculation process of the included angle and the distribution curve is not limited herein. The railway lines with the same standard as the railway line to be analyzed can be used as the plurality of railway lines in step 810.

[0127] Based on the same inventive concept, the present application also provides a catenary positioner stress anomaly identification system, which is described in the following embodiments. Since the catenary positioner stress anomaly identification system solves the problem by the similar principle as the catenary positioner stress anomaly identification method, the implementation of the catenary positioner stress anomaly identification system can be referred to the catenary positioner stress anomaly identification method, and the repeated parts will not be described herein.

[0128] Specifically, as shown in Figure 9 The catenary positioner identification system includes:

[0129] The coordinate determination module 910 is configured to acquire coordinate data of the positioning points of the contact wire in the railway line to be analyzed, wherein the horizontal coordinate of the positioning point is the position of the positioning point, and the vertical coordinate of the positioning point is the pull-out value of the positioning point.

[0130] The distance calculation module 920 is configured to calculate the distance of each positioning point from the straight line formed by the adjacent positioning points.

[0131] The distance analysis module 930 is configured to determine whether the distance between each positioning point and the adjacent positioning point constituting a straight line is less than a first predetermined value, and if yes, determine that the positioner at the positioning point is abnormal. The first predetermined value is determined according to the distance between the positioning point and the adjacent positioning point constituting a straight line in the plurality of railway lines.

[0132] The embodiment can automatically identify the abnormal positioner without human intervention and provide the position of the abnormal positioner. The embodiment can improve the efficiency of the catenary detection and maintenance and avoid the problem of missed detection.

[0133] In a further embodiment, as shown in Figure 10 The embodiment further includes:

[0134] The position difference calculation module 940 is configured to calculate the position difference between each two adjacent positioning points.

[0135] The screening module 950 is configured to screen the adjacent positioning points whose position difference exceeds the standard deviation threshold.

[0136] The image acquisition module 960 is configured to acquire a sub-image from the pull-out value waveform image of the railway line, where the sub-image is the pull-out value waveform image between the screened adjacent positioning points.

[0137] The included angle calculation module 970 is configured to determine the included angle value between the straight lines in the sub-image.

[0138] The included angle analysis module 980 is configured to determine whether the included angle value is greater than a second predetermined value, where the second predetermined value is determined according to the included angle between the two straight lines at the positioning point in the plurality of railway lines. If the included angle value is greater than the second predetermined value, it is determined that the positioner corresponding to the sub-image is abnormal.

[0139] The embodiment can identify the missing positioning point and determine the state of the missing positioning point by calculating the included angle of the straight lines in the sub-image near the missing positioning point, thereby ensuring the comprehensiveness of the positioning point identification. In an embodiment, a computer device is provided for executing the catenary positioner force abnormality identification method of any of the preceding embodiments. Specifically, as shown in Figure 11As shown, computer device 1102 includes one or more processors 1104, such as one or more central processing units (CPUs), each of which can implement one or more hardware threads. Computer device 1102 can also include any memory 1106 for storing any kind of information such as code, settings, data, etc. Without limitation, for example, memory 1106 can include any one or combination of: any type of RAM, any type of ROM, a flash memory device, a hard disk, an optical disk, etc. More generally, any memory can use any technology for storing information. Further, any memory can provide volatile or non-volatile retention of information. Further, any memory can represent a fixed or removable component of computer device 1102. In one case, computer device 1102 can perform any operation of the associated instructions when processor 1104 executes the associated instructions stored in any memory or combination of memories. Computer device 1102 also includes one or more drive mechanisms 1108 for interacting with any memory, such as a hard disk drive mechanism, an optical disk drive mechanism, etc.

[0140] Computer device 1102 can also include an input / output module 1110 (I / O) for receiving various inputs (via input device 1112) and for providing various outputs (via output device 1114). One particular output mechanism can include a presentation device 1116 and associated graphical user interface 1118 (GUI). In other embodiments, input / output module 1110 (I / O), input device 1112, and output device 1114 can also not be included, just as a computer device in a network. Computer device 1102 can also include one or more network interfaces 1120 for exchanging data with other devices via one or more communication links 1122. One or more communication buses 1124 couple the above-described components together.

[0141] Communication links 1122 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. Communication links 1122 can include any combination of hardwired links, wireless links, routers, gateway functionality, name servers, etc., governed by any protocol or combination of protocols.

[0142] Corresponding to the method in Figures 4-8 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 method.

[0143] The embodiments herein also provide a computer readable instruction, wherein when a processor executes the instruction, the program therein causes the processor to perform the steps of the above method.Figures 4-8 The method shown.

[0144] It should be understood that the size of the sequence number of each process described above in various embodiments herein does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments herein.

[0145] 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 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.

[0146] Those of ordinary skill in the art can realize that the units and algorithm steps of each example 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 each example have been described in the above description in a general manner. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Those 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.

[0147] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0148] In several embodiments provided herein, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only schematic, and the division of the units is only a logical function division, and actual implementation can have another division manner, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displays or discussed can be indirect coupling or communication connection through some interfaces, devices or units, and can also be electrical, mechanical or other forms of connection.

[0149] The units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, that is, they can be located in one place, or they can be distributed on multiple network units. According to actual needs, some or all of the units can be selected to achieve the purpose of the embodiments herein.

[0150] In addition, each functional unit in each embodiment herein can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0151] When the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions herein, essentially or in the form of a contribution to the prior art, 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 several 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: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, and various other media that can store program codes.

[0152] The principles and implementation manners of the present application are described herein by using specific embodiments, and the above description of the embodiments is only for the purpose of helping to 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 the above description of the specification should not be understood as limiting the present application.

Claims

1. A method for identifying force anomalies of a catenary locator, characterized in that, The method comprises the following steps: acquiring coordinate data of positioning points of a contact line in a railway line to be analyzed by using a displacement sensor, a horizontal coordinate of a positioning point being a position of the positioning point, and a vertical coordinate of the positioning point being a pull-out value of the positioning point; calculating a distance of each positioning point from a straight line formed by adjacent positioning points; determining a distribution curve of distance values according to distances of the positioning points from the straight line formed by adjacent positioning points in multiple railway lines; determining a distance value corresponding to a first predetermined proportion when the distance value is less than the first predetermined proportion according to the distribution curve of the distance values; taking the distance value corresponding to the first predetermined proportion when the distance value is less than the first predetermined proportion as a first predetermined value; judging whether the distance of each positioning point from the straight line formed by adjacent positioning points is less than the first predetermined value, and determining that a positioner at the positioning point is abnormal if the distance is less than the first predetermined value; calculating a position difference between each two adjacent positioning points; screening out adjacent positioning points whose position difference exceeds a standard deviation threshold value, the standard deviation threshold value being a kilometer marker difference value between adjacent positioners in a straight railway line; acquiring a sub-image from a pull-out value waveform image of the railway line, wherein the sub-image is a pull-out value waveform image between the screened adjacent positioning points; determining an included angle value between straight lines in the sub-image; judging whether the included angle value is greater than a second predetermined value, wherein the second predetermined value is determined according to included angles of two straight lines at the positioning points in multiple railway lines; determining that a positioner corresponding to the sub-image is abnormal if the included angle value is greater than the second predetermined value.

2. The catenary positioner stress anomaly recognition method of claim 1, wherein, The calculation of the distance of each positioning point from the straight line formed by adjacent positioning points comprises the following steps: A=y2-y1; B=x1-x2; C=x2y1-x1y2; wherein (x0, y0) is a coordinate value of an intermediate positioning point X0, (x1, y1) and (x2, y2) are coordinate values of adjacent positioning points X1 and X2 respectively, x0, x1 and x2 are positions of the positioning points, y0, y1 and y2 are pull-out values of the positioning points, and d is a distance of the intermediate positioning point X0 from the straight line formed by the adjacent positioning points X1 and X2.

3. The catenary positioner stress anomaly recognition method of claim 1, wherein, Before the calculation of the distance of each positioning point from the straight line formed by adjacent positioning points, the method further comprises the following steps: calculating a position difference of positioning points located at two ends of three continuous positioning points, and screening out three continuous positioning points whose position difference is within a preset position difference range; screening out positioning points with the same horizontal coordinate according to the coordinates of the positioning points; deleting the screened positioning points from all the positioning points.

4. The overhead line locator stress anomaly identification method of claim 1, wherein, After the acquisition of the waveform image of the pull-out value of the railway line, the method further comprises the following step: performing grayscale processing on the waveform image of the pull-out value.

5. The overhead line locator stress anomaly identification method of claim 1, wherein, The determination of the second predetermined value according to the included angles of two straight lines at the positioning points in multiple railway lines comprises the following steps: determining a distribution curve of the included angles according to the included angles of two straight lines at each positioning point in the pull-out value waveform images of the multiple railway lines; determining an included angle corresponding to a second predetermined proportion when the included angle is less than the second predetermined proportion according to the distribution curve of the included angles; taking the included angle corresponding to the second predetermined proportion when the included angle is less than the second predetermined proportion as the second predetermined value.

6. A system for identifying abnormal force on a contact wire locator, characterized in that, The method comprises the following steps: a coordinate determination module is configured to acquire coordinate data of positioning points of a contact line in a railway line to be analyzed by using a displacement sensor, a horizontal coordinate of a positioning point being a position of the positioning point, and a vertical coordinate of the positioning point being a pull-out value of the positioning point; The distance calculation module is configured to calculate the distance of each positioning point from its adjacent positioning point to form a straight line. The distance analysis module is configured to determine a distribution curve of the distance values according to the distances of the positioning points from their adjacent positioning points to form a straight line in the plurality of railway lines. According to the distribution curve of the distance values, a distance value corresponding to a first predetermined proportion is determined. The distance value corresponding to the first predetermined proportion is taken as a first predetermined value. It is determined whether the distance of each positioning point from its adjacent positioning point to form a straight line is less than the first predetermined value. If yes, it is determined that the force of the positioner at the positioning point is abnormal. The missing data identification and abnormality detection module is configured to calculate the position difference between each two adjacent positioning points. Adjacent positioning points whose position difference exceeds a standard deviation threshold value are screened out, and the standard deviation threshold value is the kilometer marker difference value between adjacent positioners in the straight railway. A sub-image is obtained from the pull-out value waveform image of the railway line, wherein the sub-image is the pull-out value waveform image between the screened adjacent positioning points. An angle value between straight lines in the sub-image is determined. It is determined whether the angle value is greater than a second predetermined value, wherein the second predetermined value is determined according to the angle between two straight lines at the positioning point in the plurality of railway lines. If the angle value is greater than the second predetermined value, it is determined that the force of the positioner corresponding to the sub-image is abnormal.

7. A computer device comprising a memory, a processor, and a computer program stored on the memory, wherein, The computer program is executed by the processor to execute the instructions of the method according to any one of claims 1-5.

8. A computer storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor of the computer device to execute the instructions of the method according to any one of claims 1-5.

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