CN118565859B - A detection system for automobile wheel hub - Google Patents
A detection system for automobile wheel hub Download PDFInfo
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Abstract
本发明公开了一种汽车轮毂的检测系统，本发明涉及轮毂检测技术领域，解决了不能保障其检测速率同时检测精度也无法得到保障，无法达到更好的检测效率的问题，本发明通过针对于存在异常的汽车轮毂，对其汽车轮毂的边缘异常区域确定完毕后，再采用动态跟随以及曲线分析的方式，来确定其对应曲线的变化情况，从中锁定对应的规律段，因汽车轮毂可能因动平衡不均而发生了相关跳动，那么就会导致其曲线不标准，从而造成评定误差，那么按照本处理方式，便可避免此类误差，来确定最精准的比对结果，以此来达到更好的评定效率，达到更好的汽车轮毂的检测效果，保障检测相关效率。
The present invention discloses a detection system for an automobile wheel hub, which relates to the field of wheel hub detection technology and solves the problem that the detection rate cannot be guaranteed and the detection accuracy cannot be guaranteed, and a better detection efficiency cannot be achieved. The present invention determines the change of the corresponding curve of an abnormal automobile wheel hub after the abnormal edge area of the automobile wheel hub is determined, and locks the corresponding regular segment therefrom. Since the automobile wheel hub may have related jumps due to uneven dynamic balance, the curve will be non-standard, thereby causing an assessment error. According to the processing method, such errors can be avoided to determine the most accurate comparison result, thereby achieving a better assessment efficiency, achieving a better automobile wheel hub detection effect, and ensuring the detection-related efficiency.
Description
Technical Field
The invention relates to the technical field of hub detection, in particular to a detection system for an automobile hub.
Background
The hub is a part of the center of the wheel, where the axle is arranged, namely a rim or a steel ring, which is commonly called by people, is easy to be stained with dirt, and if the hub is not cleaned for a long time, the hub is possibly corroded and deformed, so that potential safety hazards are generated.
The application with the publication number of CN113740084B relates to the field of automobile detection, in particular to an automobile hub detection method. The automobile hub detection equipment is matched with the automobile hub detection equipment, and comprises a first supporting plate arranged on the ground, a supporting device is arranged on the first supporting plate, a fixed rotating device is arranged at the center of the circle at the upper end of the first supporting plate, and a detection device is arranged at the upper end of the first supporting plate along the radial direction. The method has the advantages that the position deviating from the normal value is marked when the automobile hub is detected, the color depth of the mark represents the deviation, the subsequent processing is convenient, the automobile hub with smaller deviation is sent back to be reprocessed, the automobile hub with larger deviation is scrapped, the qualification rate of products is improved, and the potential safety hazard is reduced.
In the detection process of the automobile hub, a three-dimensional model corresponding to the automobile hub is generally constructed based on a scanning result, and whether the automobile hub is abnormal or not is identified based on relevant parameters expressed by the corresponding hub, and abnormality judgment is carried out.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a detection system for an automobile hub, which solves the problems that the detection speed of the automobile hub cannot be ensured, the detection precision cannot be ensured, and better detection efficiency cannot be achieved.
In order to achieve the purpose, the invention is realized by the following technical scheme that the automobile hub detection system comprises:
the scanning end carries out relevant scanning on the automobile hub and generates a relevant model of the automobile hub based on real-time scanning data;
the initial detection end is used for carrying out initial detection on the generated related model, identifying whether an abnormal edge area exists in the inner ring of the outer edge of the related model, and marking the existing abnormal edge area, and the specific mode is as follows:
Determining a side display diagram of a related model, determining a central point of the related model, and constructing two groups of related lines passing through the central point, wherein the two groups of related lines are mutually perpendicular;
confirming two groups of circles tangent to the corresponding hub support piece from the related model, locking the outer circle of the two groups of circles, determining the intersection point of the related line and the outer circle of the circles, connecting the adjacent intersection points, and determining four groups of related calibration lines;
the two groups of related lines rotate in a clockwise direction, the rotation speed V of the two groups of related lines is set as a value, the lengths of the corresponding related calibration lines are recorded in real time in the rotation process, the lengths of the four groups of related calibration lines are compared, when the lengths of one group of related calibration lines are inconsistent with the lengths of other related calibration lines, the related calibration lines with inconsistent lengths are calibrated to be abnormal lines, when the abnormal lines return to the normal lengths, the abnormal lines are re-calibrated to be related calibration lines, the walking areas of the endpoints of the abnormal lines are recorded, the walking areas of the endpoints of the front ends of the abnormal lines are calibrated to be abnormal edge areas, and the endpoints of the front ends of the abnormal lines, which rotate in the clockwise direction, belong to the front end endpoints;
the duty ratio analysis end is used for determining the relevant duty ratio of the abnormal edge area based on the marked abnormal edge area in the inner ring of the outer edge of the relevant model and the related length of the abnormal edge area, and identifying whether the relevant model is abnormal or not based on the determined relevant duty ratio, and the specific mode is as follows:
Determining the relevant perimeter of the inner ring of the outer edge of the relevant model, and calibrating the determined relevant perimeter as ZC;
Identifying the radiation length of the abnormal edge region, wherein the radiation length can be determined by the rotating speed V in the rotating test process and the duration t1 of the marked abnormal line of the related marked line, determining the radiation length SC of the abnormal edge region by adopting SC=V×t1, and if a plurality of abnormal edge regions exist, determining the radiation length SC one by one and summing to determine the total radiation length CC;
confirming the relevant duty ratio ZB of the abnormal edge area by ZB=CC/SC, and identifying whether the relevant duty ratio ZB meets ZB > Y1, wherein Y1 is a preset value, if yes, generating an abnormal signal directly through a signal end and displaying the abnormal signal, and if not, namely ZB is less than or equal to Y1, executing a rotation test analysis center to carry out subsequent relevant test;
The method comprises the steps that a rotation test analysis center is used for carrying out dynamic following on edge points of an automobile hub by a dynamic following module based on a dynamic test process of the corresponding automobile hub, recording a dynamic following curve of the dynamic following point, carrying out band analysis on the dynamic following curve by a band analysis module, determining a same-frequency rule section, and identifying the rotation height difference of the automobile hub based on the difference value between the highest point and the lowest point in the same-frequency rule section so as to finally evaluate whether the automobile hub affects normal use;
preferably, the specific mode of the dynamic following module is as follows:
Based on a correlation model, locking a group of characteristic points in an inner ring of the outer edge of an automobile hub, wherein the characteristic points are in a static state, the characteristic points dynamically follow the circumference of an outer ring circle in the rotating process of the automobile hub, and based on the correlation change of the circumference, the characteristic points jump up and down to construct a group of virtual base surfaces, the virtual base surfaces move backwards according to a velocity Vs, wherein Vs is a preset value, the characteristic points which follow in real time are mapped onto the virtual base surfaces according to the up and down jumping process, and a dynamic following curve of the characteristic points is generated due to the backward movement of the virtual base surfaces;
And determining a group of following periods T, wherein T is a preset value, confirming the dynamic following curve of the characteristic point position in the following period T, and transmitting the confirmed dynamic following curve into the band analysis module.
Preferably, the band analysis module identifies the relevant duration of the completion of one revolution of the automobile hub based on the rotation rate of the automobile hub in the dynamic test process, carries out relevant segmentation on the dynamic following curve based on the relevant duration, determines a group of regulation and control segments, and determines the same-frequency regular segments by carrying out the relevant comparison process, wherein the specific mode is as follows:
Calibrating the rotation rate in the dynamic test process as V1, calibrating the circumference of an outer circle of an automobile hub as ZC, and adopting ZC/V1=St to confirm the related duration St;
Then based on the moving speed V2 of the virtual base surface, adopting V2XST=SS to confirm the transverse distance SS moved by the characteristic point, and determining a group of distance intervals [ SS-X1, SS+X1] based on the SS, wherein X1 is a preset value;
Calibrating a part of curves with transverse distances in the dynamic follow-up curves positioned in front of (SS-X1) as related curves, enabling the related curves to add a curve with unit length in the distance interval as an increasing section, determining a group of comparison curves, aligning the starting point of the comparison curves with the tail end point of the increasing section to perform comparison analysis with the subsequent curves, confirming the coincidence degree, adding two curves with unit length in the distance interval as increasing sections after confirming the first group of coincidence degrees, determining a group of comparison curves, aligning the starting point of the comparison curves with the tail end point of the increasing section to perform comparison analysis with the subsequent curves, confirming the coincidence degree, and so on until the tail end point of the increasing section is (SS+X1), and selecting a group of comparison curves corresponding to the coincidence degree with the largest numerical value from the confirmed groups of coincidence degrees as equal-frequency regular sections;
and determining a horizontal distance L between the highest point and the lowest point of the characteristic points in the same-frequency regular section, and identifying whether the horizontal distance L meets L > Y2, wherein Y2 is a preset value, if yes, generating an abnormal signal through a signal terminal and displaying, and if not, generating a normal use signal through the signal terminal and displaying.
The invention provides a detection system of an automobile hub. Compared with the prior art, the method has the following beneficial effects:
According to the invention, the vertical correlation line is arranged, so that the correlation line rotates to determine the length change condition of the calibration line, compared with the original numerical value confirmation mode, the original numerical value confirmation mode is complex in process and slow in progress, and by adopting the mode, the region corresponding to the abnormal edge can be quickly locked based on a group of rotation processes, so that the corresponding primary detection process can be quickly completed, and the detection and identification efficiency can be relatively ensured;
For the automobile hub with abnormality, after the edge abnormality area of the automobile hub is determined, the change condition of the corresponding curve is determined by adopting dynamic following and curve analysis modes, corresponding regular segments are locked, the curve of the automobile hub is nonstandard due to possible occurrence of relevant jumping caused by uneven dynamic balance, and thus evaluation errors are caused, and the errors can be avoided according to the processing mode, so that the most accurate comparison result is determined, the better evaluation efficiency is achieved, the detection effect of the automobile hub is achieved, and the detection related efficiency is ensured.
Drawings
FIG. 1 is a schematic diagram of a principal frame of the present invention;
FIG. 2 is a schematic illustration of the determination of the relevant calibration lines of the automobile hub according to the present invention;
FIG. 3 is a schematic representation of the dynamic follow curve of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the application provides a detection system for an automobile hub, which comprises a scanning end, a primary detection end, a duty ratio analysis end, a rotation test analysis center and a signal end, wherein the scanning end, the primary detection end and the duty ratio analysis end are all electrically connected from an output node to an input node, the duty ratio analysis end is electrically connected with the rotation test analysis center or the signal end input node respectively, the rotation test analysis center comprises a dynamic following module and a wave band analysis module, and the dynamic following module is electrically connected with the wave band analysis module input node;
The scanning end performs relevant scanning on the automobile hub and generates a relevant model of the automobile hub based on real-time scanning data, wherein equipment for scanning is special equipment, the equipment is a corresponding three-dimensional optical scanner, a specific scanning process is automatically executed by an operator, and relevant devices are scanned and a three-dimensional model of the relevant devices is generated relatively commonly in the prior art, so that redundant description is omitted here;
The initial detection end is used for initially detecting the generated relevant model, identifying whether an abnormal edge area exists in an inner ring of the outer edge of the relevant model, marking the existing abnormal edge area, transmitting the marked relevant model into the duty ratio analysis end, specifically, detecting the automobile hub, and if the automobile hub is identified to be deformed, if the automobile contour is deformed, the automobile hub is not suitable for being used any more, and relevant trimming measures or relevant deformation measures are needed to be made;
the specific way for identifying whether the related model has an abnormal edge area is as follows:
With reference to fig. 2, determining a side display diagram of the correlation model, determining a center point (namely the center of an inner circle) of the correlation model, and constructing two groups of correlation lines passing through the center point, wherein the two groups of correlation lines are perpendicular to each other;
Confirming two groups of circles tangential to the corresponding hub support members from the related model (the hub support members can be directly determined from the related model, the positions of the hub support members are as shown in the position marked by fig. 2), locking the outer circle, determining the intersection points of the related lines and the outer circle, connecting the adjacent intersection points, and determining four groups of related calibration lines (the four groups of intersection points are in a round shape due to the existence of the four groups of intersection points, and the four groups of intersection points can be determined after being connected in sequence);
The method comprises the steps that two groups of correlation lines rotate clockwise (when the correlation lines rotate, a hub correlation model does not rotate, the correlation lines rotate clockwise based on circle centers, the correlation lines rotate on the surface of the correlation model and intersect with an inner circle of the correlation model), the rotation rate V of the correlation lines is a set value, the specific value of the correlation lines is drawn by an operator according to experience, the lengths of the correlation calibration lines are recorded in real time in the rotating process, the lengths of the four groups of correlation calibration lines are compared, when the lengths of one group of correlation calibration lines are inconsistent with the lengths of other correlation calibration lines, the correlation calibration line with inconsistent lengths is marked as an abnormal line, when the abnormal line returns to a normal length, the abnormal line is marked as the correlation calibration line, the walking area of the front end point of the abnormal line is marked as an abnormal edge area, and the front end point is marked as the front end point when the abnormal line rotates clockwise;
Specifically, the relevant lines are in a vertical state, the corresponding relevant calibration lines can be determined based on the relevant intersection points based on the vertical lines of the two, the rotation of the relevant calibration lines follower vertical lines can also move based on the specific rotation process of the two groups of vertical lines, when the inner ring edge of the hub relevant model is abnormal (or deformed), the specific length of the relevant calibration lines can be changed, when the inner ring edge is changed, the length of the relevant calibration lines can be changed when the edge is definitely abnormal or uneven, and the corresponding edge abnormal area can be determined based on the changed length;
Compared with the original mode of carrying out numerical value confirmation, the mode of determining the edge abnormality is adopted, when the original mode is used for confirming, the process is complex and the progress is slow, and by adopting the mode, the area corresponding to the edge abnormality can be quickly locked based on a group of rotation processes, so that the corresponding primary detection process can be quickly completed, and the detection and identification efficiency is relatively ensured.
The method comprises the steps that a duty ratio analysis end determines the relevant duty ratio of an abnormal edge area based on the marked abnormal edge area in an inner ring of the outer edge of a relevant model, based on the relation length of the abnormal edge area, and based on the determined relevant duty ratio, whether the relevant model is abnormal or not is identified, if the relevant abnormality exists, an abnormal signal is generated through a signal end, and if the relevant abnormality does not exist, a rotation test analysis center is executed, wherein the specific mode of identification is as follows:
Determining the relevant perimeter of the inner ring of the outer edge of the relevant model (namely the perimeter corresponding to the outer ring circle), and calibrating the determined relevant perimeter as ZC;
Identifying the radiation length of the abnormal edge region, wherein the radiation length can be determined by the rotating speed V in the rotating test process and the duration t1 of the marked abnormal line of the related marked line, determining the radiation length SC of the abnormal edge region by adopting SC=V×t1, and if a plurality of abnormal edge regions exist, determining the radiation length SC one by one and summing to determine the total radiation length CC;
confirming the relevant duty ratio ZB of an abnormal edge area by ZB=CC/SC, and identifying whether the relevant duty ratio ZB meets ZB > Y1, wherein Y1 is a preset value, the specific value is determined by an operator according to experience, if yes, an abnormal signal is directly generated through a signal end and displayed, if yes, the abnormal area of the automobile hub is displayed, and if no, namely ZB is less than or equal to Y1, a rotation test analysis center is executed to perform subsequent relevant tests to identify whether the automobile hub affects subsequent relevant use;
specifically, when the automobile edge area is excessively large, the situation that the abnormal area of the automobile hub is excessively large is represented, so that attention is required to be paid to the situation, an abnormal signal is generated to display the abnormal area, an external person can timely judge whether the automobile hub is excessively abnormal or not, and the problem of relevant deformation exists.
The method comprises the steps that a rotation test analysis center is used for carrying out dynamic following on edge points of an automobile hub by a dynamic following module based on a dynamic test process of the corresponding automobile hub, recording a dynamic following curve of the dynamic following curve, carrying out band analysis on the dynamic following curve by a band analysis module, determining a same-frequency regular segment, and identifying the rotation height difference of the automobile hub based on the difference value of the highest point and the lowest point in the same-frequency regular segment to finally evaluate whether the automobile hub affects normal use, wherein the dynamic test process of the automobile hub is that the automobile hub is placed in a rotating mechanism, the rotating mechanism represents the automobile hub to rotate, and corresponding high-definition equipment is adopted to carry out characteristic following on the edge of the automobile hub in the rotating process, so that the related dynamic following curve of the automobile hub is determined;
the specific mode for dynamically following the edge point of the automobile hub by the dynamic following module is as follows:
Based on a correlation model, a group of characteristic points are locked in an inner ring (namely a corresponding outer ring circle) at the outer edge of an automobile hub, the characteristic points are in a static state, the circumference of the outer ring circle is dynamically followed by the characteristic points in the rotating process of the automobile hub, and based on the relevant change of the circumference of the outer ring circle, the characteristic points jump up and down, a group of virtual base planes are constructed, the virtual base planes move backwards according to a velocity Vs, wherein Vs is a preset value, the specific value is drawn according to experience by an operator, the characteristic points which follow in real time are mapped onto the virtual base planes according to the up and down jumping process, and a dynamic following curve of the characteristic points is generated due to the backward movement of the virtual base planes;
Determining a group of following periods T, wherein T is a preset value, the specific value of the following period T is determined by an operator according to experience, the dynamic following curve of the characteristic point position in the following period T is confirmed, and the confirmed dynamic following curve is transmitted to a wave band analysis module, wherein when the T is set, the automobile hub can rotate for a plurality of circles in the period T according to the rotation rate of the automobile hub;
in the dynamic following process, a point is determined on the circumference of the outer circle, the point is located on the circumference, but the point is in a static state, when the automobile hub rotates, the circumference of the automobile hub rotates correspondingly, the determined point moves on the circumference, when the automobile hub moves, the determined point also jumps up and down, a group of virtual base surfaces are determined on the back of the relevant model, the virtual base surfaces move forwards, when the characteristic point jumps up and down, the virtual base surfaces are mapped on the virtual base surfaces, a group of fluctuation curves can be generated, and the fluctuation amplitude of the fluctuation curves has the up and down movement amplitude of the characteristic points to be determined.
The band analysis module is used for identifying the relevant duration of the automobile hub completing one rotation based on the rotation rate of the automobile hub in the dynamic test process, carrying out relevant segmentation on the dynamic following curve based on the relevant duration, determining a group of regulation and control segments, and determining the same-frequency regular segments by carrying out the relevant comparison process, wherein the specific mode for determining is as follows:
Calibrating the rotation rate in the dynamic test process as V1, calibrating the circumference of an outer circle of an automobile hub as ZC, and adopting ZC/V1=St to confirm the related duration St;
Then based on the moving speed V2 of the virtual base plane, adopting V2XST=SS to confirm the transverse distance SS of the moving of the characteristic point, and determining a group of distance intervals [ SS-X1, SS+X1] based on the SS, wherein X1 is a preset value, and the specific value is drawn by an operator according to experience;
Calibrating a part of curves with transverse distances in the dynamic follow-up curves positioned in front of (SS-X1) as related curves, enabling the related curves to add a curve with unit length in a distance interval as an increasing section, determining a group of comparison curves, aligning the starting point of the comparison curves with the tail end point of the increasing section to perform comparison analysis with the subsequent curves, confirming the coincidence degree, adding two curves with unit length in the distance interval as increasing sections after confirming the first group of coincidence degrees, determining a group of comparison curves, aligning the starting point of the comparison curves with the tail end point of the increasing section to perform comparison analysis with the subsequent curves, confirming the coincidence degree, and so on until the tail end point of the increasing section is (SS+X1), and stopping the comparison until the tail end point of the increasing section is (SS+X1), and selecting a group of comparison curves corresponding to the coincidence degree with the largest numerical value from the confirmed groups of coincidence degrees as equal-frequency regular sections, wherein the unit length is preset by operators according to experience;
Determining a horizontal distance L between the highest point and the lowest point (namely a vertical distance between the highest point and the lowest point) of the characteristic points in the same-frequency regular section, moving the lowest point to be right below the highest point, and determining whether the horizontal distance L meets L > Y2, wherein Y2 is a preset value, the specific value of Y2 is formulated by an operator according to experience, if yes, generating an abnormal signal through a signal end and displaying, and if not, generating a normal use signal through the signal end and displaying;
Specifically, as will be understood from fig. 3, SS is assumed to be 8, wherein X1 is 0.5, and the corresponding distance range in the figure is 7.5-8.5, that is, the transverse horizontal lengths of the two endpoints are 7.5-8.5, according to the above, the line segment with the first group of transverse horizontal lengths of 7.5 is preferentially determined as a comparison curve, the comparison curve is compared with the curve with the subsequent transverse horizontal lengths of 7.5-15, and the comparison coincidence degree is determined, wherein the comparison coincidence degree is the coincidence value of the two groups of curves, that is, the occupation ratio of the coincidence part in the comparison curve is the corresponding coincidence value;
Setting the unit length to be 0.1, executing a second comparison process, comparing a line segment with the length of 7.6 as a comparison curve with a curve with the subsequent length between 7.6 and 15.2, sequentially performing curves with the lengths of 7.5, 7.8, 7.9, and 8.5 as comparison curves, and so on until all the curves are determined, and determining the final same-frequency regular segment;
the method is characterized in that the method comprises the steps of determining a regular section according to an original distance SS, determining a dynamic balance of a vehicle hub, determining a standard section according to an original distance SS, determining a curve of the vehicle hub, and determining a most accurate comparison result according to the method.
Some of the data in the above formulas are numerical calculated by removing their dimensionality, and the contents not described in detail in the present specification are all well known in the prior art.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (3)
1. An automobile hub detection system, comprising:
the scanning end carries out relevant scanning on the automobile hub and generates a relevant model of the automobile hub based on real-time scanning data;
the initial detection end is used for carrying out initial detection on the generated related model, identifying whether an abnormal edge area exists in the inner ring of the outer edge of the related model, and marking the existing abnormal edge area;
the duty ratio analysis end is used for determining the relevant duty ratio of the abnormal edge area based on the marked abnormal edge area in the inner ring of the outer edge of the relevant model and the related length of the abnormal edge area, and identifying whether the relevant model is abnormal or not based on the determined relevant duty ratio;
The method comprises the steps that a rotation test analysis center is used for carrying out dynamic following on edge points of an automobile hub by a dynamic following module based on a dynamic test process of the corresponding automobile hub, recording a dynamic following curve of the dynamic following point, carrying out band analysis on the dynamic following curve by a band analysis module, determining a same-frequency rule section, and identifying the rotation height difference of the automobile hub based on the difference value between the highest point and the lowest point in the same-frequency rule section so as to finally evaluate whether the automobile hub affects normal use;
The dynamic following module is used for dynamically following the edge points of the automobile hub in the following specific modes:
Based on a correlation model, locking a group of characteristic points in an inner ring of the outer edge of an automobile hub, wherein the characteristic points are in a static state, the characteristic points dynamically follow the circumference of an outer ring circle in the rotating process of the automobile hub, and based on the correlation change of the circumference, the characteristic points jump up and down to construct a group of virtual base surfaces, the virtual base surfaces move backwards according to a velocity Vs, wherein Vs is a preset value, the characteristic points which follow in real time are mapped onto the virtual base surfaces according to the up and down jumping process, and a dynamic following curve of the characteristic points is generated due to the backward movement of the virtual base surfaces;
Determining a group of following periods T, wherein T is a preset value, confirming a dynamic following curve of a characteristic point position in the following period T, and transmitting the confirmed dynamic following curve into a wave band analysis module;
the band analysis module identifies the relevant duration of the automobile hub completing one rotation based on the rotation rate of the automobile hub in the dynamic test process, carries out relevant segmentation on the dynamic following curve based on the relevant duration, determines a group of regulation and control segments, and determines the same-frequency regular segments by carrying out the relevant comparison process, wherein the specific mode is as follows:
Calibrating the rotation rate in the dynamic test process as V1, calibrating the circumference of an outer circle of an automobile hub as ZC, and adopting ZC/V1=St to confirm the related duration St;
Then based on the moving speed V2 of the virtual base surface, adopting V2XST=SS to confirm the transverse distance SS moved by the characteristic point, and determining a group of distance intervals [ SS-X1, SS+X1] based on the SS, wherein X1 is a preset value;
Calibrating a part of curves with transverse distances in the dynamic follow-up curves positioned in front of (SS-X1) as related curves, enabling the related curves to add a curve with unit length in the distance interval as an increasing section, determining a group of comparison curves, aligning the starting point of the comparison curves with the tail end point of the increasing section to perform comparison analysis with the subsequent curves, confirming the coincidence degree, adding two curves with unit length in the distance interval as increasing sections after confirming the first group of coincidence degrees, determining a group of comparison curves, aligning the starting point of the comparison curves with the tail end point of the increasing section to perform comparison analysis with the subsequent curves, confirming the coincidence degree, and so on until the tail end point of the increasing section is (SS+X1), and selecting a group of comparison curves corresponding to the coincidence degree with the largest numerical value from the confirmed groups of coincidence degrees as equal-frequency regular sections;
and determining a horizontal distance L between the highest point and the lowest point of the characteristic points in the same-frequency regular section, and identifying whether the horizontal distance L meets L > Y2, wherein Y2 is a preset value, if yes, generating an abnormal signal through a signal terminal and displaying, and if not, generating a normal use signal through the signal terminal and displaying.
2. The automobile hub detection system according to claim 1, wherein the specific way for the primary detection end to identify whether the related model has an abnormal edge area is as follows:
Determining a side display diagram of a related model, determining a central point of the related model, and constructing two groups of related lines passing through the central point, wherein the two groups of related lines are mutually perpendicular;
confirming two groups of circles tangent to the corresponding hub support piece from the related model, locking the outer circle of the two groups of circles, determining the intersection point of the related line and the outer circle of the circles, connecting the adjacent intersection points, and determining four groups of related calibration lines;
The two groups of related lines rotate clockwise, the rotation speed V of the two groups of related lines is set as a set value, the lengths of the corresponding related calibration lines are recorded in real time in the rotation process, the lengths of the four groups of related calibration lines are compared, when the lengths of one group of related calibration lines are inconsistent with the lengths of other related calibration lines, the related calibration lines with inconsistent lengths are calibrated to be abnormal lines, when the abnormal lines return to the normal lengths, the abnormal lines are re-calibrated to be related calibration lines, the walking areas of the endpoints of the abnormal lines are recorded, the walking areas of the endpoints of the front ends of the abnormal lines are calibrated to be abnormal edge areas, and the endpoints of the front ends of the abnormal lines, which rotate when the front ends are based on clockwise rotation, belong to the front end endpoints.
3. The automobile hub detection system according to claim 2, wherein the specific way for identifying whether the related model is abnormal at the duty ratio analysis end is as follows:
Determining the relevant perimeter of the inner ring of the outer edge of the relevant model, and calibrating the determined relevant perimeter as ZC;
Identifying the radiation length of the abnormal edge region, wherein the radiation length can be determined by the rotating speed V in the rotating test process and the duration t1 of the marked abnormal line of the related marked line, determining the radiation length SC of the abnormal edge region by adopting SC=V×t1, and if a plurality of abnormal edge regions exist, determining the radiation length SC one by one and summing to determine the total radiation length CC;
And confirming the relevant duty ratio ZB of the abnormal edge area by ZB=CC/SC, and identifying whether the relevant duty ratio ZB meets ZB > Y1, wherein Y1 is a preset value, if yes, generating an abnormal signal directly through a signal end and displaying the abnormal signal, and if not, namely ZB is less than or equal to Y1, executing a subsequent relevant test by a rotation test analysis center.
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| CN108534658A (en) * | 2018-06-29 | 2018-09-14 | 三门峡中原量仪股份有限公司 | A kind of vehicle hub synthesis amount instrument |
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| JP2868535B2 (en) * | 1989-07-07 | 1999-03-10 | トピー工業株式会社 | Wheel runout measuring device |
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