CN-121980251-A - Tire bulge and recess real-time detection method, system, computer equipment and readable storage medium

CN121980251ACN 121980251 ACN121980251 ACN 121980251ACN-121980251-A

Abstract

The invention provides a tire bulge and recess real-time detection method, a system, a computer device and a readable storage medium, which comprises the steps of acquiring multi-circle sidewall contour data, generating an original signal s [ n ], executing FFT on the original signal s [ n ], filtering out one to three-order frequency components, and removing a jumping signal through inverse FFT output to obtain a signal Expand the data points at the beginning and end of the signal to form an extended signal For the spread signal Performing adaptive burr filtering to obtain a repair signal Clipping the spread signal to obtain The data alignment of multiple circles is averaged to one circle to obtain a single circle repair signal Expanding tail data to proper point number and head to constitute seamless ring signal The method comprises the steps of calculating sliding window energy according to a set window width, locating maximum/minimum energy points to serve as initial bulge/recess centers, accurately locating by adopting three-point parabolic interpolation to obtain a defect position with sub-sampling precision, calculating a background mean value outside the accurate position points in a symmetrical interval to obtain a defect amplitude A, comparing the defect amplitude A with a set threshold value T, and marking that a tire is unqualified if the defect amplitude A is |A| > T.

Inventors

FENG XIANYING
Che Qirui
WANG HAO
WANG ANNING
LIU SHENXING
LI PEIGANG

Assignees

山东大学

Dates

Publication Date: 20260505
Application Date: 20251226

Claims (10)

1. The real-time detection method for the bulge and the dent of the tire is characterized by comprising the following steps of: S1, acquiring multiple circles of sidewall contour data to generate an original signal s [ n ], performing FFT (fast Fourier transform) on the original signal s [ n ], filtering out one to three-order frequency components, and removing a jumping signal through inverse FFT output to obtain a signal Counting the number of each expansion data point at the head and the tail of the signal to form an expansion signal ; S2, aiming at the expansion signal Performing adaptive burr filtering to obtain a repair signal Further clipping the spread signal to obtain The data alignment of multiple circles is averaged to one circle to obtain a single circle repair signal ; S3, repairing the single ring The tail data is extended to the head by proper points to construct a seamless annular signal Calculating sliding window energy according to the set window width, positioning a maximum/minimum energy point as an initial bulge/recess center, and then adopting three-point parabolic interpolation for accurate positioning to obtain a defect position with sub-sampling precision; and S4, comparing the defect amplitude A with a set threshold value T, and marking that the tire is unqualified if the defect amplitude A is |A| > T.
2. The method for detecting the bulge and the concave of the tire according to claim 1, wherein the specific process of S2 is as follows: Calculation of The roughness R (m) of the point is set by taking each point m as the center and setting the standard deviation of the signal in the window with the width; Wherein the method comprises the steps of Is half width of window Is the mean value in the window Is the signal amplitude in a window centered at the m-point ; Is that And m is 1- Is an integer of (2); Detecting burrs by adopting an absolute intermediate level difference criterion, and linearly interpolating and repairing burrs by using adjacent effective points to obtain The repaired data is subjected to phase alignment and flush to form a circle ; Wherein the method comprises the steps of The amplitude of the burr detection window data taking the m point as the center is represented by x, wherein x is a variable; Is the local median of the spur detection window centered at the m point, If it is Marked as burr points; The repair signal is: ; And The magnitudes of the nearest non-burr points to the burr point.
3. A method for real-time detection of a tyre bulge and recess as set forth in claim 1, characterized in that said window energy is specifically the cumulative effect of the signal amplitude in a local window, the quantization being expressed as the sum of the signal amplitudes in the window.
4. The method for detecting the bulge and the concave of the tire according to claim 1, wherein the window energy calculating method is as follows: Is the sum of the signal amplitudes within the energy window starting at point i, Is the amplitude of each signal within the energy window starting at point i, For the number of points of the energy window, Is the maximum/minimum point relative position within the maximum energy window, Is the absolute position of the maximum/minimum point, For pre-expansion signals The total number of the single circle is counted, For spread signals Total points for a single turn.
5. A tire bulge and recess real-time detection system, comprising: The data acquisition and preprocessing module is configured to acquire a plurality of circles of sidewall contour data, generate an original signal s [ n ], execute FFT on the original signal s [ n ], filter one to three-order frequency components, remove a jumping signal through inverse FFT output, and obtain a signal Counting the number of each expansion data point at the head and the tail of the signal to form an expansion signal ; An adaptive spur filtering module configured to filter the spread signal Performing adaptive burr filtering to obtain a repair signal Further clipping the spread signal to obtain The data alignment of multiple circles is averaged to one circle to obtain a single circle repair signal ; A feature extraction module configured to extend the tail data by a suitable number of points to the head to construct a seamless ring signal Calculating sliding window energy according to the set window width, positioning a maximum/minimum energy point as an initial bulge/recess center, and then adopting three-point parabolic interpolation for accurate positioning to obtain a defect position with sub-sampling precision; and the judging module is configured to compare the defect amplitude A with a set threshold value T, and mark that the tire is unqualified if the defect amplitude A is |A| > T.
6. The tire bulge and concavity real-time detection system of claim 5 wherein said adaptive spur filtering module is specifically configured to: Calculation of The roughness R (m) of the point is set by taking each point m as the center and setting the standard deviation of the signal in the window with the width; Wherein the method comprises the steps of To spread signals Is a total point of (2); is the half-width point number of window Is the signal amplitude in a window centered at the m-point Is a window mean centered at the m point, ; Detecting burrs by adopting an absolute intermediate level difference criterion, and linearly interpolating and repairing burrs by using adjacent effective points to obtain The repaired data is subjected to phase alignment and flush to form a circle ; Wherein the method comprises the steps of The data amplitude of the burr detection window takes m points as the center; is the local median value of the number of bits, ; If it is Marked as burr points; The repair signal is: ; And The left and right nearest of the burr points the magnitude of the non-burr points.
7. A tire bulge and recess real-time detection system, comprising: The system comprises a main control system, an industrial computer and a PLC (programmable logic controller), wherein the industrial computer is internally provided with a database, and is used for storing rim configuration parameters, sensor positioning parameters, load wheel pressing parameters and program codes corresponding to the tire bulge and recess real-time detection method according to any one of claims 1-4 corresponding to different tire specification models, and is used for retrieving and issuing corresponding control parameters from the database to the PLC according to the input tire specification models and processing received signals; the automatic code scanning device is configured to scan the identification code on the tire to obtain the specification and model of the tire, and upload the specification and model information to an industrial computer of the main control system through an industrial communication protocol; the rim clamping mechanism is configured to be driven by the PLC according to the received rim configuration parameters so as to automatically adapt and fix tires with different specifications through the multistage adjustable rim assembly of the rim clamping mechanism; the sensor displacement mechanism is configured to be driven by the PLC according to the received sensor positioning parameters, and the laser displacement sensor is positioned to a preset detection position of the tire sidewall so as to acquire contour data of the tire surface; and the load wheel pressing mechanism is configured to be driven by the PLC according to the received load pressing parameters, move and press the load wheel to a preset position of the tire tread, and apply a specified load pressure to the tire.
8. The tire bulge and recess real-time detection system of claim 7, further comprising an alarm device, a marking device.
9. A computer device, the computer device comprising: a processor and a memory; the memory is used for storing program codes and transmitting the program codes to the processor; the processor is configured to execute the steps of the tire bulge and bulge real-time detection method according to any one of claims 1-4 according to instructions in the program code.
10. A computer-readable storage medium, wherein the computer-readable storage medium has a computer stored thereon Program which, when executed by a processor, performs the steps of the tyre bulge and recess real-time detection method according to any one of claims 1 to 4.

Description

Tire bulge and recess real-time detection method, system, computer equipment and readable storage medium Technical Field The invention relates to the technical field of tire quality detection, in particular to a tire bulge and recess real-time detection method, a system, computer equipment and a readable storage medium. Background Tires are one of the most critical safety components in a vehicle running system, and the quality of the tires is directly related to running safety, handling performance and riding comfort. In the production process, internal or external defects such as bulges or pits can be generated due to uneven material distribution, abnormal cord arrangement, vulcanization process defects and the like, and the internal or external defects must be accurately detected, positioned and repaired. According to statistics, the traffic accident caused by the tire problem in 2024 nationwide accounts for 18.7%, wherein the death rate caused by tire burst is 3.2 times of that of common accidents, so that the accurate detection and repair of the defects such as tire bulge and recess are particularly critical to ensuring the running safety of vehicles. The automatic detection equipment and the system for the defects of the Chinese patent automobile tire with the application number 202511108131.6 adopt the technologies of an image recognition module, depth measurement, 3D molding and the like to finish the multi-dimensional detection tasks of the surface, the geometric structure, the internal structure, the air tightness and the like of the tire. In the Chinese patent application number 202010808325.8, a tyre bulge detection system based on a high-speed camera and multi-line laser is described, wherein bulge detection is carried out by a mode of adding a line laser to the high-speed camera, and the method adopts traditional filtering methods such as median filtering treatment, mean filtering treatment, boundary treatment and the like, so that tiny bulge or concave characteristics are easily smoothed and lost when noise such as tread patterns, burrs and the like is filtered, and the detection accuracy and reliability are limited. Disclosure of Invention The invention aims to solve the problems of missing detection and false detection caused by signal boundary effect, surface noise interference and insufficient positioning precision in the existing tire bulge and pit detection technology, and the first aim of the invention is to provide a tire bulge and pit real-time detection method which has the advantages of small detection blind area, strong anti-interference capability and high measurement precision. Based on the first object, a second object of the present invention is to provide a tire bulge and recess real-time detection system. In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: in a first aspect, the present system provides a method for real-time detection of a bulge and a recess of a tire, comprising: s1, acquiring multiple circles of sidewall contour data, generating an original signal s [ n ], performing FFT on the original signal s [ n ], filtering out one to three-order frequency components, and removing a jumping signal through inverse FFT output to obtain a signal Sampling point number of each expansion data of the head and tail of the signal to form an expansion signal; S2, aiming at the expansion signalPerforming adaptive burr filtering to obtain a repair signalThen clipping the spread signal to obtainThe data alignment of a plurality of circles is averaged to one circle to obtain a single circle repair signal; S3, repairing the single ringThe tail data is extended to the head by proper points to construct a seamless annular signalCalculating sliding window energy according to the set window width, positioning a maximum/minimum energy point as an initial bulge/recess center, and then adopting three-point parabolic interpolation for accurate positioning to obtain a defect position with sub-sampling precision; step s4. compares the defect amplitude A with a set threshold value T, and if |A| > T, marks that the tire is unqualified. As a further technical scheme, the specific process of S2 is as follows: Calculation of The roughness R (m) of the point is set by taking each point m as the center and setting the standard deviation of the signal in the window with the width; Wherein the method comprises the steps of To spread signalsIs a total point of (2); Is the half-width point number of the window, Is the signal amplitude within a window centered at the m point,Is a window mean centered at the m point,; Detecting burrs by adopting an absolute intermediate level difference criterion, and linearly interpolating and repairing burrs by using adjacent effective points to obtainThe repaired data is subjected to phase alignment and flush to form a circle; Wherein the method comprises the steps ofThe amplitude of the data in the burr detection window t