Automobile Brake Pad Wear Resistance Detection Method and System Based on Knowledge Graph

Abstract

The present invention provides a method for detecting the wear resistance performance of automotive brake pads based on a knowledge graph. First, a knowledge graph of the wear resistance performance of brake pads is constructed according to the knowledge base of the wear resistance performance of brake pads. Through the knowledge graph of the wear resistance performance of brake pads, multiple key indicators affecting the wear resistance performance of brake pads and the importance correlation relationship between the key indicators can be effectively obtained, greatly improving the efficiency of knowledge extraction. Secondly, a cylindrical detection result view model is constructed based on the detection results of the wear resistance performance of multiple groups of brake pads with multiple key indicators, realizing the visual display of the detection result data. And through the calculation of the cylindricity of the view model, the intuitive and effective screening of the detection result data of the wear resistance performance of brake pads is realized. Combining the editing operation of the cylindrical detection result view model on the user interface improves the intuitiveness and operability of data screening, greatly reducing the high standards of experience and technology requirements for testers.

Description

Technical Field

[0001] This application relates to the technical field of wear resistance detection of automotive brake pads, and particularly to a method for detecting the wear resistance of automotive brake pads based on a knowledge graph. Background Art

[0002] A knowledge graph is a modern theory that combines the theories and methods of disciplines such as applied mathematics, graphics, information visualization technology, and information science with methods such as bibliometric citation analysis and co-occurrence analysis, and uses a visual graph to vividly display the core structure, development history, frontier fields, and overall knowledge architecture of a discipline to achieve the purpose of multi-disciplinary integration. It displays complex knowledge fields through data mining, information processing, knowledge metrology, and graphic drawing, reveals the dynamic development laws of knowledge fields, and provides practical and valuable references for disciplinary research.

[0003] Wear resistance is one of the important indicators to measure the quality of brake pads. High-quality brake pads usually adopt advanced friction materials and manufacturing processes, and can maintain stable friction performance during long-term use, reducing wear. The wear resistance of brake pads is affected by various factors such as material and usage conditions.

[0004] In the prior art, the detection of the wear resistance of brake pads mainly focuses on the improvement of wear resistance detection devices. For example, the patent document CN118858323A discloses a device for detecting the wear resistance of electric vehicle brake pads, which can synchronously detect multiple samples, is convenient for installation and disassembly, and improves the detection efficiency. The improvement of this hardware structure has been relatively mature, while the improvement of the method for detecting the wear resistance of brake pads based on wear resistance detection devices is relatively rare, especially the visual and intelligent screening of detection results during the test process of the method for detecting the wear resistance of brake pads is particularly rare, resulting in high standards of experience and technology for testers during the detection process of the wear resistance of brake pads. Therefore, there is a need to propose a method for detecting the wear resistance of automotive brake pads based on a knowledge graph to solve the above problems. Summary of the Invention

[0005] In order to solve the technical problems in the prior art that the detection process of the wear resistance of brake pads requires high standards of experience and technology for testers and cannot realize visual and intelligent screening of detection results, the present invention provides a method for detecting the wear resistance of automotive brake pads based on a knowledge graph, and the method includes the following steps:

[0006] Step S1, constructing a knowledge base for the wear resistance of brake pads according to the data file for detecting the wear resistance of brake pads, and performing information extraction, knowledge fusion, and knowledge processing on the knowledge base for the wear resistance of brake pads to construct a knowledge graph for the wear resistance of brake pads;

[0007] Step S2: Extract multiple key indicators that affect the wear resistance of the brake pads from the knowledge graph of the brake pad wear resistance, and perform wear resistance detection on the brake pads according to the multiple key indicators to obtain multiple groups of brake pad wear resistance detection results;

[0008] Step S3: Construct a cylindrical detection result view model based on the multiple groups of brake pad wear resistance detection results of the standardized multiple key indicators. The cylindrical detection result view model has the xoy coordinate plane as the bottom surface, the origin o as the center of the bottom surface circle, and the z-axis direction as the axis of the cylinder; each group of brake pad wear resistance detection results is distributed on the same horizontal plane on the side surface of the cylinder, and each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction; the cylindrical detection result view model presents concave and convex arcs on the side surface of the cylinder according to the numerical size of the detection results;

[0009] Step S4: Calculate the cylindricity of the cylindrical detection result view model, and determine whether the cylindricity is greater than the first threshold. If so, execute Step S5; otherwise, save the multiple groups of brake pad wear resistance detection results of the multiple key indicators;

[0010] Step S5: Delete a group of detection results that most affect the cylindricity, update the cylindrical detection result view model, and calculate the cylindricity of the updated cylindrical detection result view model; re-determine whether the cylindricity is greater than the first threshold; until the cylindricity is not greater than the first threshold, save the multiple groups of brake pad wear resistance detection results of the multiple key indicators identified by the cylindrical detection result view model after the last update.

[0011] As a preferred implementation manner, the multiple key indicators include any two or more of the following:

[0012] Material, friction coefficient, wear rate, hardness, heat fade, noise level, life, running-in period.

[0013] As a preferred implementation manner, constructing the cylindrical detection result view model according to the multiple groups of brake pad wear resistance detection results of the standardized multiple key indicators further includes:

[0014] Obtain the projected circle of the cylindrical detection result view model on the xoy coordinate plane and the multiple key indicators, and uniformly mark the multiple key indicators at the corresponding marking positions of the projected circle;

[0015] Normalize the numerical values of the wear resistance test results of each group of the brake pads, and mark the numerical values of the test results after normalization at the corresponding marking positions of the projected circle. The size of the numerical value is proportional to the radius of the projected circle at the corresponding marking position. Draw the projected circle of the current group of test results with the radius of the projected circle and the radii of all the marking positions;

[0016] Arrange the projected circles of all groups of test results in sequence at unit distances along the Z-axis direction, and construct the cylindrical test result view model based on all the projected circles.

[0017] As a preferred implementation manner, uniformly mark the multiple key indicators at the corresponding marking positions of the projected circle, specifically including:

[0018] Obtain the index attributes and the number of indicators of the multiple key indicators, cluster the multiple key indicators according to the index attributes, and arrange the key indicators according to the clustering results;

[0019] Uniformly mark the arranged key indicators at the corresponding marking positions of the projected circle according to the number of indicators.

[0020] As a preferred implementation manner, cluster the multiple key indicators according to the index attributes, and arrange the key indicators according to the clustering results, specifically including:

[0021] Based on the brake pad wear resistance knowledge graph, perform cluster analysis on the multiple key indicators according to the index attributes, and obtain the classification results of each key indicator and the index weights of each key indicator in its respective classification results;

[0022] Sort all the key indicators of the same category according to the principle that the larger the index weight, the more centered, and combine all the sorted key indicators of the same category to obtain the arrangement result of the key indicators.

[0023] As a preferred implementation manner, when constructing the cylindrical test result view model based on the multiple groups of brake pad wear resistance test results of the normalized multiple key indicators, it further includes:

[0024] Obtain the number of indicators of the multiple key indicators and the number of groups of the multiple groups of brake pad wear resistance test results; calculate the ratio of the number of groups to the number of indicators. If the ratio is greater than the second threshold, distribute the wear resistance test results of each group of brake pads on the same horizontal plane on the side surface of the cylinder, and each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction;

[0025] If the ratio is not greater than the second threshold, the wear resistance test results of each group of brake pads are distributed on the side surface of the cylinder along the z-axis direction, and each of the key indicators is distributed on the same horizontal plane of the side surface of the cylinder.

[0026] As a preferred embodiment, it further includes:

[0027] Obtain the user's editing trigger operation on the view model of the cylinder test results to perform rotation, scaling, and stretching operations on the view model of the cylinder test results;

[0028] Obtain the user's editing trigger operation on the position of the test result corresponding identifier in the view model of the cylinder test results to perform dragging, adding, and deleting operations on the identifier position.

[0029] As another embodiment, the present invention provides an automobile brake pad wear resistance detection system based on a knowledge graph. The system includes the following modules:

[0030] Knowledge graph construction module: Construct a knowledge base for the wear resistance of brake pads according to the brake pad wear resistance test data file, and perform information extraction, knowledge fusion, and knowledge processing on the knowledge base for the wear resistance of brake pads to construct a knowledge graph for the wear resistance of brake pads;

[0031] Detection result acquisition module: Extract multiple key indicators affecting the wear resistance of brake pads from the knowledge graph for the wear resistance of brake pads, and perform wear resistance detection of brake pads according to the multiple key indicators to obtain multiple groups of wear resistance test results of brake pads;

[0032] Detection result view model construction module: Construct a cylinder detection result view model according to the multiple groups of wear resistance test results of the key indicators after standardization. The cylinder detection result view model has the xoy coordinate plane as the bottom surface, the origin o as the center of the bottom surface circle, and the z-axis direction as the axis of the cylinder; Each group of wear resistance test results of brake pads is distributed on the same horizontal plane of the side surface of the cylinder, and each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction; The cylinder detection result view model presents concave and convex arcs on the side surface of the cylinder according to the numerical size of the detection results;

[0033] View model cylindricity calculation module: Calculate the cylindricity of the cylinder detection result view model, and determine whether the cylindricity is greater than the first threshold. If so, execute the detection result update module; otherwise, save the multiple groups of wear resistance test results of the key indicators.

[0034] The detection result update module deletes a set of detection results that most significantly affect the cylindricity, updates the cylindricity detection result view model of the cylinder, and calculates the cylindricity of the updated cylindricity detection result view model of the cylinder; re-judges whether the cylindricity is greater than the first threshold; until the cylindricity is not greater than the first threshold, saves the multi-group brake pad wear resistance detection results of the multiple key indicators identified by the cylindricity detection result view model of the cylinder after the last update.

[0035] As a preferred implementation manner, the multiple key indicators include any two or more of the following:

[0036] Material, friction coefficient, wear rate, hardness, thermal fade, noise level, life, running-in period.

[0037] As a preferred implementation manner, the constructing the cylindricity detection result view model of the cylinder according to the multi-group brake pad wear resistance detection results of the standardized multiple key indicators further includes:

[0038] Obtain the projected circle of the cylindricity detection result view model in the xoy coordinate plane and the multiple key indicators, and uniformly mark the multiple key indicators at the corresponding marking positions of the projected circle;

[0039] Perform standardization processing on the numerical values of each group of the brake pad wear resistance detection results, mark the numerical values of the detection results after the standardization processing at the corresponding marking positions of the projected circle, and the magnitude of the numerical value is proportional to the radius of the projected circle at the corresponding marking position, and draw the projected circle of the current group of detection results with the radius of the projected circle and the radii of all the marking positions;

[0040] Arrange the projected circles of all groups of detection results at equal unit distances along the Z-axis direction, and construct the cylindricity detection result view model of the cylinder according to all the projected circles.

[0041] As a preferred implementation manner, uniformly marking the multiple key indicators at the corresponding marking positions of the projected circle specifically includes:

[0042] Obtain the index attributes and the number of indicators of the multiple key indicators, perform clustering on the multiple key indicators according to the index attributes, and arrange the key indicators according to the clustering results;

[0043] Uniformly mark the arranged key indicators at the corresponding marking positions of the projected circle according to the number of indicators.

[0044] As a preferred implementation manner, performing clustering on the multiple key indicators according to the index attributes and arranging the key indicators according to the clustering results specifically includes:

[0045] Based on the knowledge graph of the wear resistance performance of the brake pads, perform clustering analysis on the multiple key indicators according to the index attributes, and obtain the classification results of each key indicator and the index weights of each key indicator in the corresponding classification results.

[0046] Sort all the key indicators of the same category according to the principle that the larger the index weight, the more centered, and combine all the sorted key indicators of the same category to obtain the arrangement result of the key indicators.

[0047] As a preferred implementation manner, construct a cylinder detection result view model according to multiple groups of brake pad wear resistance performance detection results of the standardized multiple key indicators, and further include:

[0048] Obtain the number of the multiple key indicators and the number of groups of the multiple groups of brake pad wear resistance performance detection results; calculate the ratio of the number of groups to the number of indicators. If the ratio is greater than the second threshold, distribute each group of brake pad wear resistance performance detection results on the same horizontal plane on the side surface of the cylinder, and each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction;

[0049] If the ratio is not greater than the second threshold, distribute each group of brake pad wear resistance performance detection results along the z-axis direction on the side surface of the cylinder, and each of the key indicators is distributed on the same horizontal plane on the side surface of the cylinder.

[0050] As a preferred implementation manner, further include:

[0051] Obtain the editing trigger operation of the user on the cylinder detection result view model to perform rotation, scaling, and stretching operations on the cylinder detection result view model;

[0052] Obtain the editing trigger operation of the user on the position of the detection result corresponding identifier in the cylinder detection result view model to perform dragging, adding, and deleting operations on the identifier position.

[0053] As another embodiment, the present invention provides a device for detecting the wear resistance performance of automotive brake pads based on a knowledge graph, and the system executes the method for detecting the wear resistance performance of automotive brake pads based on the knowledge graph.

[0054] As another embodiment, the present invention provides a computer-readable storage medium, and the computer-readable storage medium stores a computer program, and the computer program executes the method for detecting the wear resistance performance of automotive brake pads based on the knowledge graph.

[0055] It can be seen that the present invention provides a method and system for detecting the wear resistance of automotive brake pads based on a knowledge graph. First, a knowledge graph of the wear resistance of automotive brake pads is constructed according to the knowledge base of the wear resistance of brake pads. Through the knowledge graph of the wear resistance of automotive brake pads, multiple key indicators affecting the wear resistance of brake pads and the importance correlation relationships between the key indicators can be effectively obtained, greatly improving the efficiency of knowledge extraction. Second, based on the multi-group of wear resistance test results of multiple key indicators, a cylindrical test result view model can be quickly and conveniently constructed, realizing the three-dimensional visualization display of the test result data and improving the intuitiveness of the display of the test result data. And through the calculation of the cylindricity of the view model, the visualization and intelligent screening of the wear resistance test result data of the brake pads are realized, greatly reducing the high standards of experience and technology requirements for testers during the testing process. Combining the editing operations on the cylindrical test result view model on the user interface improves the flexibility of data screening. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments and the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0057] Figure 1 is a schematic diagram showing the display effect of the cylindrical test result view model of the present invention;

[0058] Figure 2 is a schematic structural diagram of the system for detecting the wear resistance of automotive brake pads based on a knowledge graph of the present invention;

[0059] Figure 3 is a schematic diagram showing the display effect of the projected circle in the cylindrical test result view model of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0060] The embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0061] Embodiment 1:

[0062] The present invention provides a method for detecting the wear resistance of automotive brake pads based on a knowledge graph. The method includes the following steps:

[0063] Step S1: Construct a knowledge base for the wear resistance performance of brake pads based on the wear resistance performance detection data file of brake pads. Perform information extraction, knowledge fusion, and knowledge processing on the knowledge base for the wear resistance performance of brake pads to construct a knowledge graph for the wear resistance performance of brake pads. It should be noted that the wear resistance performance detection data file of brake pads can be a collection of historical detection data files, or a file resource related to the wear resistance performance detection data of brake pads extracted from online resource libraries such as the Internet, paper libraries, etc., which is not limited here; and a knowledge base for the wear resistance performance of brake pads is constructed through a large number of wear resistance performance detection data files of brake pads. On this basis, perform information extraction, knowledge fusion, and knowledge processing on the knowledge base for the wear resistance performance of brake pads to construct a knowledge graph for the wear resistance performance of brake pads. The knowledge graph of the present invention consists of three components, namely entities, relationships, and attributes; among them, entities refer to relevant documents, paragraphs, or sentences recording factors affecting the wear resistance performance of brake pads; relationships are the interactions or connections between the above entities. For example, the correlation, dependence, subordination, or other types of relationships between two entities; attributes refer to the indicators affecting the wear resistance performance of brake pads, such as material, friction coefficient, wear rate, hardness, thermal fade, noise level, life, and running-in period. The entities, relationships, and attributes in the knowledge graph of the present invention can also be constructed in the following way: entities refer to the indicators affecting the wear resistance performance of brake pads, relationships are the interactions or connections between the above indicators, and attributes refer to the correlation weights between the above indicators.

[0064] Step S2: Extract multiple key indicators affecting the wear resistance of the brake pads from the knowledge graph of the brake pad wear resistance, and perform the wear resistance detection of the brake pads according to the multiple key indicators to obtain multiple groups of brake pad wear resistance detection results. It should be noted that since the knowledge graph records several indicators affecting the wear resistance of the brake pads, the effects of these indicators on the wear resistance of the brake pads are different, or even some indicators have incorrect effects on the wear resistance of the brake pads, that is, irrelevant indicators are also recorded in the knowledge graph. Therefore, it is necessary to screen the key indicators to reduce the influence of irrelevant indicators or weakly associated indicators on the detection test. Specifically, multiple key indicators affecting the wear resistance of the brake pads can be extracted from the knowledge graph of the brake pad wear resistance. For example, extract the indicators with a larger number of occurrences or a stronger record intensity from the attributes of the indicators marked in the knowledge graph as key indicators, or extract the indicators with a larger weight from the attributes of the entities marked with the indicators affecting the wear resistance of the brake pads and the relevance weights between the marked entities as key indicators; it can also be other ways to extract multiple key indicators affecting the wear resistance of the brake pads from the knowledge graph, which can be adjusted during use or for specific projects and are not limited here. Then, perform the wear resistance detection of the brake pads on the existing brake pad wear resistance detection device according to the multiple key indicators, so as to obtain multiple groups of brake pad wear resistance detection results. It should be emphasized that the above-mentioned brake pad wear resistance detection device has a sensor assembly capable of detecting the above key indicators, and the sensor assembly for detecting the above key indicators is a sensor device in the prior art and will not be elaborated here.

[0065] Step S3, construct a cylinder test result view model based on the standardized multiple groups of brake pad wear resistance test results of the multiple key indicators, the cylinder test result view model uses the xoy coordinate plane as the bottom surface, the origin o as the bottom circle center, and the z-axis direction as the cylinder axis center; each group of brake pad wear resistance test results are distributed on the same horizontal plane of the cylinder side surface, and each of the key indicators is distributed on the cylinder side surface along the z-axis direction; the cylinder test result view model presents a concave and convex arc on the cylinder side surface according to the numerical value of the test result. It should be noted that in order to realize the intuitive display and intuitive and efficient screening of the multiple groups of test results of the above-mentioned multiple key indicators, it is first necessary to perform standardized operations on the multiple groups of test results of the multiple key indicators to be displayed, for example, perform data preprocessing such as error correction, completion, and normalization to ensure the accuracy and displayability of the data to be displayed. It should be emphasized that the above-mentioned normalization operation of the present invention can be a normalization operation performed once for each identical key indicator in all groups of detection result data; and in order to avoid the adverse effects of jump data on subsequent model construction, preferably, a group of detection result data corresponding to the jump data is deleted to prevent the adverse visual effects caused by excessive surface deformation of the cylindrical detection result view model.

[0066] Then, the present invention innovatively presents and filters the multiple groups of brake pad wear resistance test results of the multiple key indicators by constructing a cylindrical test result view model, such as Figure 1 As shown, the cylinder detection result view model is in the shape of a cylinder. The cylinder detection result view model can be implemented based on three-dimensional view software such as AutoCAD, 3Dmax, UG, etc. and combined with data import and editing plug-ins / components that come with the view software or are developed by a third party, which will not be described in detail here; and the xoy coordinate plane is used as the bottom surface, the origin o is used as the bottom surface circle center, and the z-axis direction is used as the cylinder axis center. Among them, each group of brake pad wear resistance test results are distributed on the same horizontal plane of the cylinder side surface. The figure shows three horizontal sections of the cylinder, which are marked in green, pink and light yellow respectively; the intersection circle of the three horizontal sections and the cylinder is parallel to the xoy coordinate plane, and the intersection circle is called the projection circle, and one group of brake pad wear resistance test results is evenly arranged on the edge of the projection circle; at this time, in the three-dimensional coordinate system, the key indicators marked at the marking position of the same z coordinate value belong to the same group of test results.

[0067] Furthermore, to improve the visual perception of the inspection personnel regarding the inspection results, and more importantly, to reduce the impact of the numerical inspection results on the concavity and convexity of the cylinder side surface after being marked at the corresponding positions (the distance between the above-mentioned projected circles is the unit distance), preferably, in the present invention, each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction, that is, in a three-dimensional coordinate system, the key indicators marked at the marking positions with (approximately) the same x-y coordinate values on the side surface of the cylinder are the same.

[0068] In addition, since it is necessary to mark the magnitude of the inspection result value at the corresponding marking position through coordinate values, therefore, in this embodiment, the z coordinate of the marking position in the three-dimensional coordinate system is used to mark the group to which the key indicator belongs, and the x-y coordinates of the marking position in the three-dimensional coordinate system are used to mark the value of the key indicator; since this value is a normalized value, its magnitude is often not equal to 1. Therefore, assuming that the radius of the projected circle is the unit length R = 1, the actual marking position of the key indicator is the coordinate at the actual length position in the direction of the radius at the initial position of the projected circle where the key indicator is located, where the initial position is the position corresponding to the marking of the current key indicator among the multiple positions uniformly distributed on the projected circle in advance; thus, the visual effect presented is that the movement (i.e., stretching or compressing) of the above-mentioned actual marking position relative to the initial position will cause the concavity and convexity deformation of the cylinder side surface; obviously, the cylinder inspection result view model presents a concave and convex arc on the side surface of the cylinder according to the magnitude of the inspection result value. In addition, the radius of the projected circle can also be set to other set values according to actual needs, which is not limited herein.

[0069] Step S4: Calculate the cylindricity of the cylinder inspection result view model, and determine whether the cylindricity is greater than a first threshold. If so, execute Step S5; otherwise, save the multi-group brake pad wear resistance inspection results of the multiple key indicators. It should be noted that in order to implement the screening of the inspection results based on the cylinder inspection result view model, thereby improving the intuitiveness and efficiency of the inspection result screening. The present invention innovatively adopts a method for screening inspection results based on cylindricity on the basis of the cylinder inspection result view model. Since all groups of inspection results and their indicators have been marked on the surface of the cylinder inspection result view model, and the size of the inspection value is marked by the concave and convex deformation on the side of the cylinder, therefore, the screening of the inspection result data can be achieved by calculating the cylindricity of the cylinder inspection result view model. Specifically, calculate the cylindricity of the cylinder inspection result view model, that is, the ratio of the difference between the radius of the maximum coaxial inscribed cylinder and the radius of the minimum coaxial circumscribed cylinder to the radius R of the projected circle. The closer this ratio is to 0, the smaller the cylindricity and the smaller the difference in the inspection results; the larger this ratio is, the greater the cylindricity and the greater the difference in the inspection results. Then, in order to measure it, a first threshold can be set. For example, the first threshold is 0.2 or 0.4, so as to determine whether the cylindricity is greater than the first threshold. If so, the difference in the inspection results is greater, and thus the subsequent further screening process of the inspection results is executed; otherwise, it indicates that the difference in the inspection results is small and meets the requirements, and thus the multi-group brake pad wear resistance inspection results of the multiple key indicators are saved.

[0070] Step S5, delete a set of test results that have the greatest impact on the cylindricity, update the cylinder test result view model, and calculate the cylindricity of the updated cylinder test result view model; re-judge whether the cylindricity is greater than the first threshold; until the cylindricity is not greater than the first threshold, save multiple sets of brake pad wear resistance test results of the multiple key indicators identified by the cylinder test result view model after the last update. It should be noted that, when it is judged that the cylindricity is greater than the first threshold, the difference in the test results is too large, and the test results with larger deviations need to be deleted. Specifically, a group of test results that have the greatest impact on the cylindricity are deleted, for example, the test results corresponding to the projected circle in contact with the maximum coaxial inscribed cylinder and / or the minimum coaxial circumscribed cylinder are deleted; after deleting the test results and their corresponding projected circles, the cylinder test result view model can be updated, that is, the above-mentioned projected circle and the test results marked at the corresponding positions are deleted from the cylinder test result view model; then, the cylindricity of the updated cylinder test result view model is calculated, and the method for calculating the cylindricity is the same as the aforementioned step S4, which will not be repeated here. Finally, re-determine whether the cylindricity is greater than the first threshold; repeat the aforementioned deletion, update, and judgment process in sequence until the cylindricity is not greater than the first threshold, at which time the remaining groups of test results marked on the cylinder test result view model updated for the last time have small errors / differences, thereby meeting the test result screening requirements. Therefore, multiple groups of brake pad wear resistance test results of the multiple key indicators identified by the cylinder test result view model after the last update are saved, thereby realizing visual identification and screening of the test results, providing intuitiveness and efficiency in the screening of the test results, and reducing the experience and technical requirements for testers.

[0071] As a preferred embodiment, the multiple key indicators include any two or more of the following: material, friction coefficient, wear rate, hardness, thermal decay, noise level, life, and running-in period; the above-mentioned technical parameters affecting the wear resistance of brake pads are common technical parameters in the field and no further explanation is required.

[0072] As a preferred implementation, the cylindrical test result view model is constructed based on the standardized multiple groups of brake pad wear resistance test results of the multiple key indicators, and further includes:

[0073] Obtain the projected circle of the cylinder detection result view model in the xoy coordinate plane and the multiple key indicators, and uniformly mark the multiple key indicators at the corresponding marking positions of the projected circle; it should be noted that each set of detection results corresponds to a projected circle, and all key indicators of this set of detection results are evenly distributed on the circumference of the projected circle according to the number of key indicators and the circumference of the projected circle. The reason for the uniform distribution is not only for the aesthetics of the uniform distribution, but more importantly, when the corresponding values of the key indicators are assigned to the corresponding marking positions of the key indicators in the case of uniform distribution, the movement (i.e., stretching or compression) of the actual marking position relative to the initial position will cause concavity and convexity deformation on the side of the cylinder. In the case of uniform distribution, this concavity and convexity deformation will be more stable, and the position of the tangent point will be more accurate under stable changes. Therefore, the accuracy of the calculation is higher when determining the above-mentioned maximum coaxial inscribed cylinder and minimum coaxial circumscribed cylinder, thus ensuring the accuracy of the detection result screening.

[0074] Standardize the values of each set of brake pad wear resistance detection results, and mark the values of the detection results after standardization at the corresponding marking positions of the projected circle. The size of the value is proportional to the radius of the projected circle at the corresponding marking position. Draw the projected circle of the current set of detection results with the radius of the projected circle and the radii of all the marking positions. It should be noted that it is necessary to perform standardization operations on multiple sets of detection results of multiple key indicators to be displayed. For example, perform data preprocessing such as error correction, complementation, and normalization to ensure the accuracy and displayability of the data to be displayed. As Figure 3 shown, mark the values of the detection results after standardization at the corresponding marking positions (8 marking positions corresponding to the blue dots) of the projected circle (a circle with a radius of R shown in the figure). The size of the value is proportional to the radius of the projected circle at the corresponding marking position. For example, at the marking position directly above the center of the circle, if the corresponding value of the key indicator at this marking position is 1.2, then the final position of this marking position is at a position 1.2R away from directly above the center of the circle, as Figure 3 shown by the position of the black dot in the figure. Then make a tangent line with the black marking position and the projected circle to form the final marking position of the convex part of the component; in a similar manner, draw the projected circle of the current set of detection results with the radius of the projected circle and the radii of all the marking positions, and finally form a projected circle with concavity and convexity deformation.

[0075] Arrange all the projected circles of the detection results of all groups at unit distances along the Z-axis direction, and construct the cylindrical detection result view model based on all the projected circles. It should be noted that in a similar manner as above, form the projected circles with concave and convex deformations corresponding to all the detection results, and arrange all the projected circles of the detection results of all groups at unit distances along the Z-axis direction. After arranging all the projected circles with concave and convex deformations, construct the cylindrical detection result view model based on these projected circles. Among them, the upper and lower bases of the cylindrical detection result view model are the original projected circles, and all the projected circles with concave and convex deformations enclose the side cylinder. And use a method similar to the concave and convex method of the projected circle to construct the concave and convex sections of the cylindrical side where the final identification positions of each concave and convex are located, which will not be elaborated here; thus, a cylindrical detection result view model with a concave and convex deformed cylinder side is realized. Figure 1 Not shown.

[0076] As a preferred implementation manner, uniformly mark the multiple key indicators at the corresponding marking positions of the projected circle, specifically including:

[0077] Obtain the index attributes and the number of indicators of the multiple key indicators, cluster the multiple key indicators according to the index attributes, and arrange the key indicators according to the clustering results;

[0078] Uniformly mark the arranged key indicators at the corresponding marking positions of the projected circle according to the number of indicators. It should be noted that in order to facilitate the inspectors to observe the concave and convex shapes presented by each key indicator and its value, and also to more accurately calculate and locate the position of the tangent point in the case of a smooth change, preferably, the present invention clusters the multiple key indicators according to the index attributes. Specifically, obtain the index attributes and the number of indicators of the multiple key indicators, where the index attribute is which type of indicator the indicator belongs to. For example, indicators related to time such as lifespan and running-in period, and indicators related to friction such as friction coefficient and wear rate. Thus, arrange the key indicators according to the clustering results, that is, arrange the corresponding marking positions of the above-mentioned similar indicators adjacent to each other; such an arrangement can facilitate the inspectors to observe the concave and convex shapes presented by each key indicator and its value, and also to more accurately calculate and locate the position of the tangent point in the case of a smooth change.

[0079] As a preferred implementation manner, cluster the multiple key indicators according to the index attributes, and arrange the key indicators according to the clustering results, specifically including:

[0080] Based on the knowledge graph of the wear resistance of the brake pad, cluster analysis is performed on the multiple key indicators according to the indicator attributes to obtain the classification result of each key indicator and the indicator weight of each key indicator in the classification result; it should be noted that in order to further ensure the smooth change of the final identification position, the present invention performs cluster analysis on the multiple key indicators based on the knowledge graph of the wear resistance of the brake pad according to the indicator attributes to obtain the classification result of each key indicator and the indicator weight of each key indicator in the classification result. For example, the indicator weight of the friction coefficient related to the friction indicator is set to 0.4, the indicator weight of the wear rate is set to 0.3, the indicator weight of the wear amount is set to 0.2, and the indicator weight of the wear index is set to 0.1; the indicator weight is used to set the relative position of the corresponding indicator in the same category of indicators.

[0081] All key indicators of the same type are sorted according to the principle that the larger the indicator weight, the more central it is, and all key indicators of the same type after sorting are combined to obtain the arrangement result of the key indicators. It should be noted that all key indicators of the same type are sorted according to the principle that the larger the indicator weight, the more central it is. For example, the friction-related indexes are sorted as follows: wear index, wear rate, friction coefficient, wear amount; that is, the index with the largest weight is the most central and the index with the smallest weight is the most side. All indicators of the same type are sorted in a similar way, and then all key indicators of the same type after sorting are combined (i.e., arranged together) to obtain the arrangement result of the key indicators; thereby, the smooth change of the final identification position can be guaranteed.

[0082] As a preferred implementation, a cylinder test result view model is constructed based on the standardized multiple groups of brake pad wear resistance test results of the multiple key indicators, further comprising:

[0083] Obtain the number of indicators of the multiple key indicators and the number of groups of the wear resistance test results of multiple groups of brake pads; calculate the ratio of the number of groups to the number of indicators. If the ratio is greater than the second threshold, then distribute the wear resistance test results of each group of brake pads on the same horizontal plane of the side surface of the cylinder, and each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction. It should be noted that since the number of groups of test results and the number of key indicators are both not fixed, the simultaneous change of the two will have a greater impact on the view effect of the view model of the cylinder detection result. To avoid the situation that a single view parameter configuration method causes the view model of the cylinder detection result to be too tall and thin or too flat, which is not conducive to the observation of the tester and lacks aesthetics. For this reason, the present invention adaptively adjusts the size of the view model of the cylinder detection result according to the number of groups of detection results and the number of key indicators; specifically, obtain the number of indicators of the multiple key indicators and the number of groups of the wear resistance test results of multiple groups of brake pads; calculate the ratio of the number of groups to the number of indicators. If the ratio is greater than the second threshold, it indicates that the number of groups of key indicators is relatively large compared to the number of indicators. At this time, distribute the wear resistance test results of each group of brake pads on the same horizontal plane of the side surface of the cylinder, and each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction. On the contrary, if the ratio is not greater than the second threshold, it indicates that the number of key indicators is relatively large compared to the number of groups of key indicators. At this time, distribute the wear resistance test results of each group of brake pads on the side surface of the cylinder along the z-axis direction, and each of the key indicators is distributed on the same horizontal plane of the side surface of the cylinder; thus realizing the flexible adjustment of the distribution of indicators on the cylinder, increasing aesthetics, facilitating the observation of the tester and the construction of concave and convex sides.

[0084] As a preferred implementation manner, it further includes:

[0085] Obtain the editing trigger operation of the user on the view model of the cylinder detection result to perform rotation, scaling, and stretching operations on the view model of the cylinder detection result; it should be noted that in addition to being able to automatically import detection data to generate the above-mentioned view model of the cylinder detection result, the present invention can also set corresponding operation trigger controls for the tester to perform rotation, scaling, and stretching operations on the view model of the cylinder detection result; specifically, obtain the editing trigger operation of the user on the position corresponding to the detection result identification in the view model of the cylinder detection result to perform dragging, adding, and deleting operations on the identification position; these operations can facilitate the tester to manually modify the attribute information such as the value of the key identification corresponding to the identification position to realize the manual adjustment of the detection result, thereby realizing the modification of the concavity and convexity of the concave and convex sides; it is also possible to manually add, delete, check, and modify the projection circle and the corresponding values of its identification position, and it is also possible to perform operations such as rotation, scaling, and stretching on the view model of the cylinder detection result, which are not limited here.

[0086] It can be seen that the present invention provides a method for detecting the wear resistance of automotive brake pads based on a knowledge graph. First, a knowledge graph of the wear resistance of automotive brake pads is constructed according to the wear resistance knowledge base of brake pads. Through the knowledge graph of the wear resistance of automotive brake pads, multiple key indicators affecting the wear resistance of brake pads and the importance correlation relationships between the key indicators can be effectively obtained, greatly improving the efficiency of knowledge extraction. Second, a cylindrical detection result view model is constructed based on the wear resistance detection results of multiple groups of brake pads with multiple key indicators, realizing the visual display of the detection result data. And through the calculation of the cylindricity of the view model, the intuitive and effective screening of the wear resistance detection result data of brake pads is realized. Combining the editing operations on the cylindrical detection result view model on the user interface improves the intuitiveness and operability of data screening, greatly reducing the high standards of experience and technology requirements for testers.

[0087] As another embodiment, as Figure 2 shown, the present invention provides a system for detecting the wear resistance of automotive brake pads based on a knowledge graph. The system includes the following modules:

[0088] A knowledge graph construction module, which constructs a wear resistance knowledge base of brake pads according to the wear resistance detection data file of brake pads, and performs information extraction, knowledge fusion and knowledge processing on the wear resistance knowledge base of brake pads to construct a knowledge graph of the wear resistance of brake pads. It should be noted that the wear resistance detection data file of brake pads can be a set of historical detection data files, or a file resource related to the wear resistance detection data of brake pads extracted from online resource libraries, paper libraries on the Internet, etc., which is not limited here; and a wear resistance knowledge base of brake pads is constructed through a large number of wear resistance detection data files of brake pads. On this basis, information extraction, knowledge fusion and knowledge processing are performed on the wear resistance knowledge base of brake pads to construct a knowledge graph of the wear resistance of brake pads. The knowledge graph of the present invention consists of three components, namely entities, relationships and attributes; among them, entities refer to relevant documents, paragraphs or sentences recording factors affecting the wear resistance of brake pads; relationships are the interactions or connections between the above entities, for example, the correlation, dependence, subordination or other types of relationships between two entities; attributes refer to the indicators affecting the wear resistance of brake pads, such as material, friction coefficient, wear rate, hardness, thermal fade, noise level, life, running-in period. The entities, relationships and attributes in the knowledge graph of the present invention can also be constructed in the following way: entities refer to the indicators affecting the wear resistance of brake pads, relationships are the interactions or connections between the above indicators, and attributes refer to the correlation weights between the above indicators.

[0089] A detection result acquisition module extracts multiple key indicators affecting the wear resistance performance of brake pads from the knowledge graph of the wear resistance performance of brake pads, and conducts wear resistance performance detection of brake pads according to the multiple key indicators to obtain multiple groups of wear resistance performance detection results of brake pads. It should be noted that since the knowledge graph records several indicators affecting the wear resistance performance of brake pads, the impacts of these indicators on the wear resistance performance of brake pads are different, or even some indicators have incorrect impacts on the wear resistance performance of brake pads, that is, irrelevant indicators are also recorded in this knowledge graph. Therefore, it is necessary to screen key indicators to reduce the impacts of irrelevant indicators or weakly correlated indicators on the detection test. Specifically, multiple key indicators affecting the wear resistance performance of brake pads can be extracted from the knowledge graph of the wear resistance performance of brake pads. For example, indicators with a larger number of occurrences or a stronger record intensity are extracted as key indicators from the attributes identifying the indicators affecting the wear resistance performance of brake pads in the knowledge graph, or indicators with a larger weight are extracted as key indicators from the attributes of the entities identifying the indicators affecting the wear resistance performance of brake pads and the correlation weights between the identifying entities; it can also be other methods of extracting multiple key indicators affecting the wear resistance performance of brake pads from the knowledge graph, which are not limited here. Then, wear resistance performance detection of brake pads is carried out on the existing wear resistance performance detection device of brake pads according to the multiple key indicators, so as to obtain multiple groups of wear resistance performance detection results of brake pads. It should be emphasized that the above-mentioned wear resistance performance detection device of brake pads has a sensor component capable of detecting the above key indicators, and the sensor component for detecting the above key indicators is a sensor device in the prior art, which will not be elaborated here.

[0090] The detection result view model construction module constructs a cylindrical detection result view model based on multiple groups of brake pad wear resistance detection results of the standardized multiple key indicators. The cylindrical detection result view model has the xoy coordinate plane as the bottom surface, the origin o as the center of the bottom surface circle, and the z-axis direction as the axis of the cylinder; each group of brake pad wear resistance detection results is distributed on the same horizontal plane on the side surface of the cylinder, and each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction; the cylindrical detection result view model presents concave and convex arcs on the side surface of the cylinder according to the numerical size of the detection results. It should be noted that in order to achieve an intuitive display and intuitive and efficient screening of multiple groups of detection results of the above multiple key indicators, first, it is necessary to perform a standardization operation on multiple groups of detection results of the multiple key indicators to be displayed. For example, data preprocessing such as error correction, completion, and normalization is performed to ensure the accuracy and displayability of the data to be displayed; it should be emphasized that the above normalization operation of the present invention can be a normalization operation for each same key indicator in all groups of detection result data; and in order to avoid the adverse impact of jump data on the subsequent model construction, preferably, a group of detection result data corresponding to the jump data is deleted to prevent the adverse visual impact caused by excessive deformation of the surface of the cylindrical detection result view model. Then, the present invention innovatively presents and screens multiple groups of brake pad wear resistance detection results of the multiple key indicators by constructing a cylindrical detection result view model, such as Figure 1As shown, the cylinder detection result view model is in the shape of a cylinder. The cylinder detection result view model can be implemented based on three-dimensional view software such as AutoCAD, 3Dmax, UG, etc. and combined with data import and editing plug-ins / components that come with the view software or are developed by a third party, which will not be described in detail here; and the xoy coordinate plane is used as the bottom surface, the origin o is used as the bottom surface circle center, and the z-axis direction is used as the cylinder axis center. Among them, each group of brake pad wear resistance test results are distributed on the same horizontal plane of the cylinder side surface. The figure shows three horizontal sections of the cylinder, which are marked in green, pink and light yellow respectively; the intersection circle of the three horizontal sections and the cylinder is parallel to the xoy coordinate plane, and the intersection circle is called the projection circle, and one group of brake pad wear resistance test results is evenly arranged on the edge of the projection circle; at this time, in the three-dimensional coordinate system, the key indicators marked at the marking position of the same z coordinate value belong to the same group of test results. Furthermore, in order to improve the intuitiveness of the inspection personnel's observation of the inspection results, and more importantly, to reduce the impact of the inspection result values on the degree of concavity of the side surface of the cylinder after the corresponding positions are marked (the distance between the above-mentioned projected circles is the unit distance), preferably, the present invention distributes each of the key indicators along the z-axis direction on the side surface of the cylinder, that is, in the three-dimensional coordinate system, the key indicators marked at the marking positions with (approximately) the same xy coordinate values on the side surface of the cylinder are the same. In addition, since it is necessary to identify the size of the value of the detection result at the corresponding identification position by the coordinate value, in this embodiment, the z coordinate of the identification position in the three-dimensional coordinate system is used to identify the group to which the key indicator belongs, and the xy coordinate of the identification position in the three-dimensional coordinate system is used to identify the value of the key indicator; since the value is a normalized value, its size is often not equal to 1, therefore, assuming that the radius of the projected circle is a unit length R=1, the actual identification position of the key indicator is the coordinate of the actual length position in the direction of the radius on the initial position of the projected circle where the key indicator is located, wherein the initial position is the position of the identification corresponding to the current key indicator in a plurality of positions uniformly distributed on the projected circle in advance; thus, the visual effect presented is that the movement (i.e. stretching or compression) of the above-mentioned actual identification position relative to the initial position will cause the concave-convex deformation of the side surface of the cylinder; obviously, the cylinder detection result view model presents a concave-convex arc on the side surface of the cylinder according to the value of the detection result. In addition, the radius of the projected circle can also be set to other set values according to actual needs, which are not limited here.

[0091] The view model cylindricity calculation module calculates the cylindricity of the cylinder detection result view model, and determines whether the cylindricity is greater than the first threshold. If so, the detection result update module is executed; otherwise, the multi-group brake pad wear resistance detection results of the multiple key indicators are saved. It should be noted that in order to realize the screening of the detection results based on the cylinder detection result view model, thereby improving the intuitiveness and efficiency of the detection result screening, the present invention innovatively adopts a method for screening the detection results based on cylindricity on the basis of the cylinder detection result view model. Since all groups of detection results and their indicators have been marked on the surface of the cylinder detection result view model, and the size of the detection value is marked by the concave and convex deformation on the side of the cylinder, the screening of the detection result data can be realized by calculating the cylindricity of the cylinder detection result view model. Specifically, the cylindricity of the cylinder detection result view model is calculated, that is, the ratio of the difference between the radius of the largest coaxial inscribed cylinder and the radius of the smallest coaxial circumscribed cylinder to the radius R of the projected circle. The closer this ratio is to 0, the smaller the cylindricity and the smaller the difference in the detection results; the closer this ratio is to a large value, the greater the cylindricity and the greater the difference in the detection results. Then, in order to measure it, a first threshold can be set. For example, the first threshold is 0.2 or 0.4, so as to determine whether the cylindricity is greater than the first threshold. If so, the difference in the detection results is greater, and the subsequent further screening process of the detection results is executed; otherwise, it indicates that the difference in the detection results is small and meets the requirements, so the multi-group brake pad wear resistance detection results of the multiple key indicators are saved.

[0092] A detection result updating module deletes a set of detection results that have the greatest impact on the cylindricity, updates the cylinder detection result view model, and calculates the cylindricity of the updated cylinder detection result view model; re-determines whether the cylindricity is greater than the first threshold; until the cylindricity is not greater than the first threshold, saves multiple sets of brake pad wear resistance test results of the multiple key indicators identified by the cylinder detection result view model after the last update. It should be noted that, when it is judged that the cylindricity is greater than the first threshold, the difference in the detection results is too large, and the detection results with larger deviations need to be deleted. Specifically, a group of detection results that have the greatest impact on the cylindricity are deleted, for example, the detection results corresponding to the projected circle in contact with the maximum coaxial inscribed cylinder and / or the minimum coaxial circumscribed cylinder are deleted; after deleting the detection results and their corresponding projected circles, the cylinder detection result view model can be updated, that is, the above-mentioned projected circle and the detection results marked at the corresponding positions are deleted from the cylinder detection result view model; then, the cylindricity of the updated cylinder detection result view model is calculated, and the method for calculating the cylindricity is the same as the aforementioned step S4, which will not be repeated here. Finally, re-judge whether the cylindricity is greater than the first threshold value; repeat the aforementioned deletion, update, and judgment process in sequence until the cylindricity is no greater than the first threshold value. At this time, the remaining several groups of test results marked on the cylinder test result view model updated last time have relatively small errors / gaps, thereby satisfying the test result screening requirements. Therefore, multiple groups of brake pad wear resistance test results of the multiple key indicators identified by the cylinder test result view model updated last time are saved, thereby realizing visual identification and screening of test results, providing intuitiveness and efficiency in test result screening, and reducing the experience and technical requirements for testers.

[0093] As a preferred embodiment, the multiple key indicators include any two or more of the following: material, friction coefficient, wear rate, hardness, thermal decay, noise level, life, and running-in period; the above-mentioned technical parameters affecting the wear resistance of brake pads are common technical parameters in the field and no further explanation is required.

[0094] As a preferred implementation, the cylindrical test result view model is constructed based on the standardized multiple groups of brake pad wear resistance test results of the multiple key indicators, and further includes:

[0095] Obtain the projected circle of the cylinder detection result view model in the xoy coordinate plane and the multiple key indicators, and uniformly mark the multiple key indicators at the corresponding marking positions of the projected circle; it should be noted that each set of detection results corresponds to a projected circle, and all key indicators of this set of detection results are evenly distributed on the circumference of the projected circle according to the number of key indicators and the circumference of the projected circle. The reason for the even distribution is not only for the aesthetics of the even distribution, but more importantly, when the corresponding values of the key indicators are assigned to the corresponding marking positions of the key indicators in the case of even distribution, the movement (i.e., stretching or compression) of the actual marking position relative to the initial position will cause concavity and convexity deformation on the side of the cylinder. In the case of even distribution, this concavity and convexity deformation will be more stable, and the position of the tangent point will be more accurate under the condition of stable change. Therefore, the accuracy of the calculation is higher when determining the above-mentioned maximum coaxial inscribed cylinder and minimum coaxial circumscribed cylinder, thus ensuring the accuracy of the detection result screening.

[0096] Standardize the values of each set of brake pad wear resistance detection results, and mark the values of the detection results after standardization at the corresponding marking positions of the projected circle. The size of the value is proportional to the radius of the projected circle at the corresponding marking position. Draw the projected circle of the current set of detection results with the radius of the projected circle and the radii of all the marking positions; it should be noted that it is necessary to perform standardization operations on multiple sets of detection results of multiple key indicators to be displayed. For example, perform data preprocessing such as error correction, completion, and normalization to ensure the accuracy and displayability of the data to be displayed; as Figure 3 shown, mark the values of the detection results after standardization at the corresponding marking positions (8 marking positions corresponding to the blue dots) of the projected circle (a circle with a radius of R shown in the figure). The size of the value is proportional to the radius of the projected circle at the corresponding marking position. For example, at the marking position directly above the center of the circle, if the corresponding value of the key indicator at this marking position is 1.2, then the final position of this marking position is at a position 1.2R away from directly above the center of the circle, as Figure 3 shown by the position of the black dot marking in the figure; then make a tangent line with the black marking position and the projected circle to form the final marking position of the convex part of the component; in a similar way, draw the projected circle of the current set of detection results with the radius of the projected circle and the radii of all the marking positions, and finally form a projected circle with concavity and convexity deformation.

[0097] Arrange all the projected circles of the detection results of all groups at unit distances along the Z-axis direction, and construct the cylindrical detection result view model based on all the projected circles. It should be noted that the projected circles of the concave and convex deformations corresponding to all the detection results are formed in a similar manner as described above, and all the projected circles of the detection results of all groups are arranged at unit distances along the Z-axis direction. After arranging all the projected circles of the concave and convex deformations, a cylindrical detection result view model is constructed based on these projected circles. Among them, the upper and lower bases of the cylindrical detection result view model are the original projected circles, and all the projected circles of the concave and convex deformations enclose the side cylinder. And a concave and convex section of the cylindrical side where the final identification position of each concave and convex is located is constructed by a method similar to the concave and convex method of the projected circle, which will not be elaborated here; thus, a cylindrical detection result view model with a concave and convex deformed cylinder side is achieved. Figure 1 Not shown.

[0098] As a preferred implementation manner, uniformly mark the multiple key indicators at the corresponding marking positions of the projected circle, specifically including:

[0099] Obtain the index attributes and the number of indicators of the multiple key indicators, cluster the multiple key indicators according to the index attributes, and arrange the key indicators according to the clustering results;

[0100] Uniformly mark the arranged key indicators at the corresponding marking positions of the projected circle according to the number of indicators. It should be noted that in order to facilitate the inspectors to observe the concave and convex shapes presented by each key indicator and its value, and also to more accurately calculate and locate the position of the tangent point in the case of stable change, preferably, the present invention clusters the multiple key indicators according to the index attributes. Specifically, obtain the index attributes and the number of indicators of the multiple key indicators, where the index attribute is which type of indicator the indicator belongs to. For example, the time-related indicators such as lifespan and running-in period, and the friction-related indicators such as friction coefficient and wear rate. Thus, the key indicators are arranged according to the clustering results, that is, the marking positions corresponding to the above-mentioned similar indicators are arranged adjacent to each other; such an arrangement can facilitate the inspectors to observe the concave and convex shapes presented by each key indicator and its value, and also to more accurately calculate and locate the position of the tangent point in the case of stable change.

[0101] As a preferred implementation manner, cluster the multiple key indicators according to the index attributes, and arrange the key indicators according to the clustering results, specifically including:

[0102] Based on the knowledge graph of the wear resistance performance of the brake pad, a cluster analysis is performed on the multiple key indicators according to the indicator attributes to obtain the classification result of each key indicator and the indicator weight of each key indicator in the classification result; it should be noted that in order to further ensure the smooth change of the final identification position, the present invention is based on the knowledge graph of the wear resistance performance of the brake pad, and the multiple key indicators are clustered and analyzed according to the indicator attributes to obtain the classification result of each key indicator and the indicator weight of each key indicator in the classification result. For example, the indicator weight of the friction-related indicator friction coefficient is set to 0.4, the indicator weight of the wear rate is set to 0.3, the indicator weight of the wear amount is set to 0.2, and the indicator weight of the wear index is set to 0.1; the indicator weight is used to set the relative position of the corresponding indicator in the same category.

[0103] All key indicators of the same type are sorted according to the principle that the larger the indicator weight, the more central it is, and all key indicators of the same type after sorting are combined to obtain the arrangement result of the key indicators. It should be noted that all key indicators of the same type are sorted according to the principle that the larger the indicator weight, the more central it is. For example, the friction-related indexes are sorted as follows: wear index, wear rate, friction coefficient, wear amount; that is, the index with the largest weight is the most central and the index with the smallest weight is the most side. All indicators of the same type are sorted in a similar way, and then all key indicators of the same type after sorting are combined (i.e., arranged together) to obtain the arrangement result of the key indicators; thereby, the smooth change of the final identification position can be guaranteed.

[0104] As a preferred implementation, a cylinder test result view model is constructed based on the standardized multiple groups of brake pad wear resistance test results of the multiple key indicators, further comprising:

[0105] Obtain the number of indicators of the multiple key indicators and the number of groups of the wear resistance test results of the multiple groups of brake pads; calculate the ratio of the number of groups and the number of indicators. If the ratio is greater than the second threshold, then distribute the wear resistance test results of each group of brake pads on the same horizontal plane of the side surface of the cylinder, and each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction; it should be noted that since the number of groups of test results and the number of key indicators are not fixed, the simultaneous change of the two will have a greater impact on the view effect of the constructed cylinder test result view model. In order to avoid the effect that the cylinder test result view model is too tall and thin or too flat due to a single view parameter configuration method, which is not conducive to the observation of the inspectors and lacks aesthetics; for this reason, the present invention adaptively adjusts the size of the cylinder test result view model according to the number of groups of test results and the number of key indicators; specifically, obtain the number of indicators of the multiple key indicators and the number of groups of the wear resistance test results of the multiple groups of brake pads; calculate the ratio of the number of groups and the number of indicators. If the ratio is greater than the second threshold, it indicates that the number of groups of key indicators is relatively large compared to the number of indicators. At this time, distribute the wear resistance test results of each group of brake pads on the same horizontal plane of the side surface of the cylinder, and each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction. On the contrary, if the ratio is not greater than the second threshold, it indicates that the number of key indicators is relatively large compared to the number of groups of key indicators. At this time, distribute the wear resistance test results of each group of brake pads on the side surface of the cylinder along the z-axis direction, and each of the key indicators is distributed on the same horizontal plane of the side surface of the cylinder; thus, the flexible adjustment of the distribution of indicators on the cylinder is realized, which increases the aesthetics, facilitates the observation of the inspectors and the construction of the concave and convex sides.

[0106] As a preferred implementation manner, it further includes:

[0107] Obtain the editing trigger operation of the user on the cylinder test result view model to perform rotation, scaling, and stretching operations on the cylinder test result view model; it should be noted that in addition to being able to automatically import the test data to generate the above-mentioned cylinder test result view model, the present invention can also set corresponding operation trigger controls for the inspectors to perform rotation, scaling, and stretching operations on the cylinder test result view model; specifically, obtain the editing trigger operation of the user on the identification position corresponding to the test result in the cylinder test result view model to perform dragging, adding, and deleting operations on the identification position; these operations can facilitate the inspectors to manually modify the attribute information such as the numerical value of the key identification corresponding to the identification position to realize the manual adjustment of the test result, thereby realizing the modification of the concavity and convexity of the concave and convex sides; it is also possible to manually add, delete, check, and modify the projection circle and its corresponding numerical value at the identification position, and it is also possible to perform operations such as rotation, scaling, and stretching on the cylinder test result view model, which are not limited here.

[0108] Embodiment 2: The present invention provides a device for detecting the wear resistance of automotive brake pads based on a knowledge graph, and the system executes the method for detecting the wear resistance of automotive brake pads based on the knowledge graph.

[0109] Embodiment 3: The present invention provides a computer-readable storage medium storing a computer program, and the computer program executes the method for detecting the wear resistance of automotive brake pads based on the knowledge graph.

[0110] Those skilled in the art of the present technology can understand that the present invention includes devices for performing one or more of the operations described in the present application. These devices can be specifically designed and manufactured for the required purposes, or can also include known devices in general-purpose computers. These devices have computer programs stored therein, and these computer programs are selectively activated or reconstructed. Such computer programs can be stored in a device (such as a computer) readable medium or in any type of medium suitable for storing electronic instructions and respectively coupled to a bus. The computer-readable medium includes, but is not limited to, any type of disk (including floppy disks, hard disks, optical disks, CD-ROMs, and magneto-optical disks), ROM (Read-Only Memory), RAM (Random Access Memory), EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash memory, magnetic cards, or optical cards. That is, the readable medium includes any medium that stores or transmits information in a form readable by a device (such as a computer).

[0111] Those skilled in the art of the present technology can understand that each block in these structure diagrams and / or block diagrams and / or flowcharts, as well as combinations of blocks in these structure diagrams and / or block diagrams and / or flowcharts, can be implemented using computer program instructions. Those skilled in the art of the present technology can understand that these computer program instructions can be provided to a processor of a general-purpose computer, a professional computer, or other programmable data processing methods to implement, so that the processor of a computer or other programmable data processing methods executes the solutions specified in one or more blocks of the structure diagrams and / or block diagrams and / or flowcharts disclosed by the present invention.

[0112] Those skilled in the art can understand that the various operations, methods, steps, measures, and solutions in the processes discussed in the present invention can be alternated, changed, combined, or deleted. Further, other steps, measures, and solutions in the various operations, methods, and processes discussed in the present invention can also be alternated, changed, rearranged, decomposed, combined, or deleted. Further, the steps, measures, and solutions in the prior art that are the same as those disclosed in the various operations, methods, and processes of the present invention can also be alternated, changed, rearranged, decomposed, combined, or deleted.

[0113] The above are only the embodiments of the present invention, and thus do not limit the patent scope of the present invention. Any equivalent structural or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A method for detecting the wear resistance of automotive brake pads based on a knowledge graph, characterized in that, The method includes the following steps: Step S1: Construct a knowledge base for the wear resistance performance of brake pads based on the wear resistance performance detection data file of brake pads, and perform information extraction, knowledge fusion, and knowledge processing on the knowledge base for the wear resistance performance of brake pads to construct a knowledge graph for the wear resistance performance of brake pads; Step S2: Extract multiple key indicators that affect the wear resistance performance of brake pads from the knowledge graph for the wear resistance performance of brake pads, and perform wear resistance performance detection of brake pads according to the multiple key indicators to obtain multiple groups of wear resistance performance detection results of brake pads; Step S3: Construct a cylindrical detection result view model based on the multiple groups of wear resistance performance detection results of the standardized multiple key indicators. The cylindrical detection result view model uses the xoy coordinate plane as the bottom surface, the origin o as the center of the bottom surface circle, and the z-axis direction as the axis of the cylinder; Each group of wear resistance performance detection results of brake pads is distributed on the same horizontal plane on the side surface of the cylinder, and each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction; The cylindrical detection result view model presents concave and convex arcs on the side surface of the cylinder according to the numerical size of the detection results; Step S4: Calculate the cylindricity of the cylindrical detection result view model, and determine whether the cylindricity is greater than a first threshold. If so, execute Step S5; otherwise, save the multiple groups of wear resistance performance detection results of the multiple key indicators; The cylindricity is the ratio of the difference between the radius of the largest coaxial inscribed cylinder and the radius of the smallest coaxial circumscribed cylinder to the radius of the projected circle; Step S5: Delete a group of detection results that most affect the cylindricity, update the cylindrical detection result view model, and calculate the cylindricity of the updated cylindrical detection result view model; Re-determine whether the cylindricity is greater than the first threshold; Until the cylindricity is not greater than the first threshold, save the multiple groups of wear resistance performance detection results of the multiple key indicators identified by the cylindrical detection result view model after the last update.

2. The brake pad wear resistance detection method according to claim 1, characterized in that The multiple key indicators include any two or more of the following: Material, friction coefficient, wear rate, hardness, thermal fade, noise level, life, running-in period.

3. The method for detecting the wear resistance of brake pads according to claim 1, characterized in that, The constructing of the cylindrical detection result view model according to the multiple groups of wear resistance performance detection results of the standardized multiple key indicators in Step S3 further includes: Obtain the projected circle of the cylindrical detection result view model in the xoy coordinate plane and the multiple key indicators, and uniformly mark the multiple key indicators at the corresponding marking positions on the projected circle; Perform standardization processing on the numerical values of each group of wear resistance performance detection results of brake pads, and mark the numerical values of the detection results after standardization processing at the corresponding marking positions on the projected circle. The size of the numerical value is proportional to the radius of the projected circle at the corresponding marking position, and draw the projected circle of the current group of detection results with the radius of the projected circle and the radii of all the marking positions; Arrange the projected circles of all groups of detection results in sequence at unit distances along the Z-axis direction, and construct the cylindrical detection result view model according to all the projected circles.

4. The method for detecting the wear resistance of a brake pad according to claim 3, characterized in that, Uniformly identify the multiple key indicators at the corresponding identification positions of the projected circle, specifically including: Obtain the indicator attributes and the number of indicators of the multiple key indicators, cluster the multiple key indicators according to the indicator attributes, and arrange the key indicators according to the clustering results; Uniformly identify the arranged key indicators at the corresponding identification positions of the projected circle according to the number of indicators.

5. The method for detecting the wear resistance of the brake pads according to claim 4, characterized in that, Cluster the multiple key indicators according to the indicator attributes and arrange the key indicators according to the clustering results, specifically including: Based on the brake pad wear resistance knowledge graph, perform clustering analysis on the multiple key indicators according to the indicator attributes, and obtain the classification results of each key indicator and the indicator weights of each key indicator in the corresponding classification results; Sort all the key indicators of the same category according to the principle that the larger the indicator weight, the more centered, and combine all the sorted key indicators of the same category to obtain the arrangement result of the key indicators.

6. The method for detecting the wear resistance of a brake pad according to claim 1, wherein, Step S3 further includes constructing a cylinder test result view model according to multiple groups of brake pad wear resistance test results of the standardized multiple key indicators: Obtain the number of indicators of the multiple key indicators and the number of groups of the multiple groups of brake pad wear resistance test results; calculate the ratio of the number of groups to the number of indicators. If the ratio is greater than the second threshold, distribute each group of brake pad wear resistance test results on the same horizontal plane on the side surface of the cylinder, and each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction; If the ratio is not greater than the second threshold, distribute each group of brake pad wear resistance test results along the z-axis direction on the side surface of the cylinder, and each of the key indicators is distributed on the same horizontal plane on the side surface of the cylinder.

7. The method for detecting the wear resistance of the brake pads according to any one of claims 1-6, characterized in that, Further includes: Obtain the editing trigger operation of the user on the cylinder test result view model to perform rotation, scaling, and stretching operations on the cylinder test result view model; Obtain the editing trigger operation of the user on the corresponding identification position of the test result in the cylinder test result view model to perform dragging, adding, and deleting operations on the identification position.

8. An automobile brake pad wear resistance detection system based on a knowledge graph, characterized in that, Implement the brake pad wear resistance test method according to any one of claims 1-7. The system includes the following modules: A knowledge graph construction module, which constructs a brake pad wear resistance knowledge base according to the brake pad wear resistance test data file, and performs information extraction, knowledge fusion, and knowledge processing on the brake pad wear resistance knowledge base to construct a brake pad wear resistance knowledge graph; A test result acquisition module, which extracts multiple key indicators affecting the brake pad wear resistance from the brake pad wear resistance knowledge graph, and performs brake pad wear resistance tests according to the multiple key indicators to obtain multiple groups of brake pad wear resistance test results; The detection result view model construction module constructs a cylindrical detection result view model based on multiple groups of brake pad wear resistance detection results of the standardized multiple key indicators. The cylindrical detection result view model has the xoy coordinate plane as the bottom surface, the origin o as the center of the bottom surface circle, and the z-axis direction as the axis of the cylinder; each group of brake pad wear resistance detection results is distributed on the same horizontal plane on the side surface of the cylinder, and each of the key indicators is distributed on the side surface of the cylinder along the z-axis direction; the cylindrical detection result view model presents concave and convex arcs on the side surface of the cylinder according to the numerical size of the detection results. The cylindricity calculation module of the view model calculates the cylindricity of the cylindrical detection result view model, and determines whether the cylindricity is greater than a first threshold. If so, the detection result update module is executed; otherwise, the multiple groups of brake pad wear resistance detection results of the multiple key indicators are saved; the cylindricity is the ratio of the difference between the radius of the largest coaxial inscribed cylinder and the radius of the smallest coaxial circumscribed cylinder to the radius of the projected circle. The detection result update module deletes a group of detection results that most affect the cylindricity, updates the cylindrical detection result view model, and calculates the cylindricity of the updated cylindrical detection result view model; re-determines whether the cylindricity is greater than the first threshold; until the cylindricity is not greater than the first threshold, the multiple groups of brake pad wear resistance detection results of the multiple key indicators identified by the cylindrical detection result view model after the last update are saved.

9. An automobile brake pad wear resistance detection device based on a knowledge graph, characterized in that, The device executes the method for detecting the wear resistance of automotive brake pads based on a knowledge graph according to any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, The computer program executes the method for detecting the wear resistance of automotive brake pads based on a knowledge graph according to any one of claims 1-7.

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