A system and method for calculating wave oscillation of a reinforcing layer of an aircraft tire

Abstract

The present application relates to the technical field of aviation tire design and manufacturing, and particularly relates to an aviation tire reinforcing layer wave swing calculation system and method, which comprises an image acquisition module, a real-time processing and calculation module, a core algorithm module, a data storage and management module and a man-machine interaction and alarm module; the image acquisition module is arranged above a tire forming machine station, adopts a high-resolution industrial camera, a matched telecentric lens and a high-brightness linear LED light source, the light source irradiates the reinforcing layer surface in a low-angle grazing manner, highlights the cord texture and its wave shape, the camera is synchronous with a main shaft encoder of the forming machine, and equal-angle and displacement trigger acquisition are realized; the image is accurately acquired, the real-time processing and calculation module realizes real-time monitoring in the production process by means of an industrial computer built-in algorithm, timely alarm is realized to prevent batch defects, the uniformity of the aviation tire is helped to be stabilized, the product performance and the qualified rate are helped to be improved, and the repair cost is reduced.

Description

Technical Field

[0001] This invention relates to the technical field of aircraft tire design and manufacturing, and in particular to a system and method for calculating the waveform oscillation of the reinforcing layer of an aircraft tire. Background Technology

[0002] During the molding process of aircraft tires, the reinforcing layer material needs to be precisely bonded to the molding drum. Due to factors such as uneven material tension, positioning deviation, movement of the molding drum, or fluctuations in process parameters, the cords may produce unexpected lateral wave swings after bonding. Such wave swings will seriously affect the uniformity, dynamic balance performance, and structural strength of the tire, and are one of the key hidden dangers that cause vibration, heat generation, or even failure of aircraft tires when running at high speeds.

[0003] Currently, traditional methods mainly rely on manual visual sampling or offline measurement, which are inefficient, subjective, unable to monitor the entire process, and difficult to quantify and analyze. Therefore, there is an urgent need for a system and method that can calculate the waveform oscillation of the reinforcement layer online, in real time, and accurately. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a system and method for calculating the waveform oscillation of the reinforcing layer of aircraft tires. This system enables precise image acquisition, real-time processing, and calculation modules to receive data in real time using built-in algorithms in industrial computers. It allows for real-time monitoring during production, timely alarms to prevent batch defects, and potential support for intelligent closed-loop process optimization. This helps stabilize the uniformity of aircraft tires, improve product performance and yield, and reduce rework costs.

[0005] The present invention provides a waveform oscillation calculation system for the reinforcing layer of an aircraft tire, comprising an image acquisition module, a real-time processing and calculation module, a core algorithm module, a data storage and management module, and a human-computer interaction and alarm module; Image acquisition module: Deployed above the tire forming machine station, it adopts a high-resolution industrial camera, a compatible telecentric lens and a high-brightness linear LED light source. The light source illuminates the surface of the reinforcing layer in a low-angle sweeping manner to highlight the cord texture and its wave deformation. The camera is synchronized with the forming machine spindle encoder to achieve equal angle and displacement trigger acquisition. Real-time processing and calculation module: It adopts the built-in image processing and waveform calculation algorithms of industrial computers to receive data from the image acquisition module in real time; Core algorithm module: Integrated into the real-time processing and calculation module, it has functions of image optimization, feature extraction, benchmark setting and swing analysis. It first filters and reduces noise, enhances contrast and corrects distortion of the acquired image, then uses a specific algorithm to accurately extract the edge and center line of the curtain wire, determines the benchmark line based on theory or the initial center line of the non-swing section, and finally compares the real-time center line with it to calculate the waveform amplitude, frequency, swing area and standard deviation and other indicators to comprehensively evaluate the waveform swing of the reinforcement layer. Data storage and management module: used to store original images, processing results, calculation indicators and corresponding timestamps, tire IDs, and process parameter information, and then establish a traceable database; Human-computer interaction and alarm module: The display screen provides a display interface to visualize waveform curves, key indicator values ​​and trend charts in real time. Thresholds can be set, and when indicators such as swing amplitude and frequency exceed the limits, an audible and visual alarm or automatic notification is triggered.

[0006] Preferably, the core algorithm module includes an image preprocessing unit, a curtain edge extraction and centerline positioning unit, a waveform reference definition unit, and a swing amount calculation unit; Image preprocessing unit: performs filtering and noise reduction, contrast enhancement, and distortion correction on the acquired images; Curtain edge extraction and center line positioning unit: Employs an edge detection algorithm to accurately identify the edges of single or multiple curtain threads and calculate their sub-pixel-level center lines; First, the Canny operator is used for preliminary edge detection to obtain pixel-level edges. Since the curtain cords are usually approximately parallel straight lines or gentle curves, edge pairs are matched and filtered by combining Hough transform or directional gradient information to eliminate interference from non-curtain cord edges. Then, the pixel-level edges extracted in the preliminary step are precisely located at the sub-pixel level using the gray-scale moment method or polynomial fitting method. For each pair of matched left and right edge points, the midpoint is calculated as the coordinate of the center point at that cross-section. All center points are connected along the direction of the curtain cord to form an initial center line. The initial center line is then smoothly fitted to eliminate measurement errors at individual points, resulting in a smooth, continuous, sub-pixel accurate curtain cord center line trajectory. Waveform reference definition unit: When an accurate tire CAD design model exists, the ideal cord arrangement curve of the reinforcing layer in the model is projected onto the image coordinate system as an absolute theoretical reference. When a theoretical model cannot be obtained or applied, a dynamic self-learning method is adopted. In the early stage of tire forming, the system identifies a region that is considered to have no process abnormalities and straight cords, extracts the center lines of all cords in this region, and performs spatial averaging on the extracted center lines of multiple cords without swaying to obtain a comprehensive average center line, which serves as the actual reference line for this batch or this tire. Swing Calculation Unit: Compares the real-time extracted centerline of the cord with the baseline to calculate key indicators such as waveform amplitude, waveform frequency, swing area, and swing standard deviation. Waveform amplitude: The maximum vertical distance between the center line and the baseline; Waveform frequency: The number of cycles in which the center line deviates from the baseline per unit length; Swing area: The area enclosed between the center line and the baseline, used to assess the overall degree of sway; Oscillation standard deviation: The statistical dispersion of the offset of points within a certain area.

[0007] Preferably, it also includes a control feedback interface module; Control feedback interface module: Feeds back the calculated waveform oscillation characteristics to the control system of the molding machine, providing conditions for closed-loop adaptive adjustment.

[0008] Preferably, the data storage and management module further includes a data compression and encryption module and a data mining and analysis module; Data compression and encryption module: efficiently compresses the stored raw images and processing results data to reduce storage space usage. At the same time, it uses encryption technology to encrypt sensitive data to ensure data security and privacy, and prevent data leakage and malicious tampering. Data Mining and Analysis Module: This module introduces data mining algorithms to conduct in-depth analysis of stored data. Through cluster analysis, it can discover the waveform oscillation characteristics of different types of tires. By using association rule mining, it can find the potential relationship between process parameters and waveform oscillation indicators, providing data support for the optimization of tire production processes.

[0009] Preferably, the human-computer interaction and alarm module further includes an intelligent alarm strategy module and a remote monitoring and diagnosis module; Intelligent alarm strategy module: In addition to setting fixed thresholds to trigger alarms, an intelligent alarm strategy is adopted to dynamically adjust the alarm threshold based on the tire's usage history, current operating conditions, and fault statistics of similar tires. For new tires or tires used in good environments, the alarm threshold is appropriately increased, while for tires that are nearing the end of their service life or have potential fault risks, the alarm threshold is decreased to improve the timeliness and accuracy of alarms. Remote monitoring and diagnostic module: Transmits tire waveform oscillation data and alarm information to a remote monitoring center in real time via the network. Technicians can remotely diagnose and analyze the tire status, providing timely technical support and solutions to improve the efficiency of fault handling.

[0010] Preferably, a method for calculating the waveform oscillation of an aircraft tire reinforcement layer includes the following steps: S1: System Calibration and Benchmark Establishment After the equipment is installed, spatial calibration of the camera pixel equivalent is performed to determine the conversion relationship between image coordinates and actual physical size. During the initial process stabilization stage, a recognized qualified image of the reinforcing layer is acquired, and its center line of the cord is extracted, or the theoretical design path is digitized and set as the baseline. S2: Synchronous Image Acquisition During the tire forming process, the encoder of the forming machine spindle triggers the image acquisition module to continuously or at equal intervals acquire images at the reinforcing layer bonding station, ensuring that the images cover the entire circumference or key monitoring areas. S3: Cord Feature Extraction Preprocessing is performed on each frame of the acquired image. Image processing algorithms are used to accurately extract the edges or ridges of the curtain lines in the image, and the sub-pixel level real-time center line of a single or multiple representative curtain lines is calculated by fitting. S4: Waveform Oscillation Calculation and Analysis Align the real-time centerline with the baseline in the same coordinate system, sample points at fixed intervals along the length of the centerline, calculate the vertical offset of the real-time centerline relative to the baseline at each sampling point, and calculate the waveform amplitude, waveform wavelength, and comprehensive oscillation index based on the offset sequence of all sampling points. This can be used to calculate multiple curtain lines and analyze the consistency of oscillation. S5: Results Output and Decision Support The system displays waveform curves, key indicators, and historical trends in real time, and compares the calculation results with preset process quality standard thresholds. If the limit is exceeded, an alarm will be triggered immediately, and the associated process parameters will be recorded, along with possible causes. S6. Store all data for individual tire quality records and batch quality statistical analysis; S7. Send the swing characteristic value to the control system for real-time fine-tuning of the relevant actuators.

[0011] Preferably, the image acquisition module includes a support device, an adjustment device, a drive device, a housing, an industrial camera, a transparent window, a cover, a cleaning brush, an annular tube, a nozzle, and an exhaust port; An LED light is provided at the front end of the housing. The housing is mounted on a support device, which is used to move and adjust the housing. The industrial camera is housed inside the casing; The transparent window is located on the outer wall of the front end of the housing; The cover is mounted on the housing by swinging and rotating through an adjustment device; The cleaning brush is mounted inside the housing via a rotating drive mechanism. The annular tube is installed on the inner side wall of the enclosure; Multiple sets of nozzles are connected and installed on the outer wall of the annular pipe, and the driving device is used to deliver air into the annular pipe; The exhaust vent is located on the outer wall of the housing. A support device moves the housing to the desired shooting position, allowing the industrial camera to capture images of the tire. A transparent window protects the camera lens. After shooting, an adjustment device rotates the housing, causing the cover to rotate and attach to the front of the housing. At this point, the cleaning brush contacts the outer surface of the transparent window. A drive device then rotates the cleaning brush, cleaning the surface of the transparent window. Simultaneously, the drive device delivers air into the annular pipe, which blows air onto the surface of the transparent window through multiple nozzles, cleaning the window. The blown dust and air are discharged through the exhaust vent, reducing the impact of dirt on the transparent window surface on shooting, improving the convenience and effectiveness of automatic cleaning, and enhancing the accuracy and reliability of image acquisition by the industrial camera.

[0012] Preferably, the drive device includes a pneumatic motor, a connecting shaft, a bevel gear, a spline sleeve, a spline shaft, a spring, and a tank. The pneumatic motor is installed on the outer wall of the enclosure; The connecting shaft is rotatably mounted on the inner wall of the enclosure, and the top of the connecting shaft is connected to the output end of the pneumatic motor. The first set of bevel gears is installed at the bottom of the connecting shaft, and the second set of bevel gears is installed at the front end of the spline sleeve. The two sets of bevel gears mesh with each other. The spline sleeve is rotatably installed on the inner side wall of the cover; The spline shaft is slidably mounted on the spline sleeve, and the front end of the spline shaft is connected to the middle of the cleaning brush. The spring is fitted onto the outside of the spline sleeve and spline shaft; The tank is connected to the air inlet of the pneumatic motor via a pipeline, and the exhaust end of the pneumatic motor is connected to the annular pipe via a pipeline. After the cover is installed on the front end of the housing, compressed air inside the tank is delivered to the pneumatic motor, causing the air to drive the output end of the pneumatic motor to rotate. The output end of the pneumatic motor drives the connecting shaft to rotate, and the rotating connecting shaft drives the spline sleeve to rotate through the bevel gear. This causes the spline sleeve to drive the cleaning brush to rotate, so that the cleaning brush cleans the surface of the transparent window. The air discharged from the exhaust end of the pneumatic motor is delivered to the annular pipe, so that multiple sets of nozzles use air to blow the surface of the transparent window. Through the combination of sweeping and blowing, the cleaning effect and efficiency of the transparent window are improved.

[0013] Preferably, the support device includes a first housing, a connecting arm, a support rod, an electric cylinder, a robotic arm, and an electric rotary table; The rear ends of multiple sets of connecting arms are rotatably mounted on the inner side wall of the first chassis via support rods, and the front ends of multiple sets of connecting arms are rotatably connected to the outer side wall of the housing. The fixed end of the electric cylinder is rotatably mounted on the inner side wall of the first housing; The moving end of the electric cylinder is rotatably connected to the connecting arm; The moving end of the robotic arm is connected to the outer wall of the first housing, and the upper part of the robotic arm is mounted on the rotating end of the electric rotary table. By controlling the extension and retraction of the moving end of the electric cylinder, the electric cylinder drives the connecting arm to swing and adjust, thereby enabling multiple sets of connecting arms to cooperate in supporting the housing to move up and down. The parallelogram formed by the multiple sets of connecting arms improves the stability of the housing adjustment support. The robotic arm drives the first housing to move and adjust the angle, and the electric rotary table drives the robotic arm to adjust the orientation, thereby improving the adjustment flexibility of industrial camera shooting.

[0014] Preferably, the adjusting device includes a second housing, a worm gear, a worm, and a motor; The second chassis is mounted on the outer wall of the housing, and the cover is rotatably mounted on the second chassis; The worm gear is installed on the rotating end of the cover; The worm gear is rotatably mounted on the outer wall of the second housing, and the worm gear meshes with the worm wheel. The motor is installed on the outer wall of the second housing, and the output end of the motor is connected to the worm gear. The motor drives the worm gear to rotate, which in turn drives the cover to swing and rotate through the worm wheel for adjustment.

[0015] Compared with the prior art, the beneficial effects of this invention are as follows: the low-angle grazing light source highlights the cord texture and wave deformation, and is synchronized with the main shaft encoder to achieve accurate image acquisition. The real-time processing and calculation module uses the built-in algorithm of the industrial computer to receive data in real time, first optimize the image, then accurately extract features and set benchmarks, and finally comprehensively calculate multiple indicators to evaluate the oscillation. This changes the traditional offline and sampling inspection mode, realizes real-time monitoring in the production process, timely alarms to prevent batch defects, helps stabilize the uniformity of aircraft tires, improves product performance and pass rate, and reduces rework costs. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the system structure of the present invention; Figure 2 A schematic diagram of the method steps of this invention; Figure 3 This is a schematic diagram of the real-time processing and computing module structure; Figure 4 This is an isometric structural diagram showing the connection between the shell and the transparent window, etc. Figure 5 This is an isometric structural diagram of the connection between the cover and the second chassis, etc. Figure 6 This is an isometric partial structural diagram of the connection between the shell and the tank body, etc. Figure 7 This is a partial isometric structural diagram of the connection between the connecting shaft and bevel gears, etc. Figure 8 This is a partial isometric structural diagram of the connection between the cleaning brush and the spline shaft, etc. Figure 9 This is an isometric structural diagram of the connection between the first chassis and the robotic arm, etc. Figure 10 This is a partial isometric structural diagram showing the connection between the outer casing and the second chassis, etc.

[0017] The attached diagram is labeled as follows: 101, housing; 102, industrial camera; 103, transparent window; 104, cover; 105, cleaning brush; 106, annular tube; 107, nozzle; 108, exhaust port; 201, pneumatic motor; 202, connecting shaft; 203, bevel gear; 204, spline sleeve; 205, spline shaft; 206, spring; 208, tank; 301, first housing; 302, connecting arm; 303, support rod; 304, electric cylinder; 305, robotic arm; 306, electric rotary table; 401, second housing; 402, worm gear; 403, worm; 404, motor. Detailed Implementation

[0018] To facilitate understanding of the present invention, a more complete description will be given below with reference to the accompanying drawings. The present invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.

[0019] Example 1 like Figures 1 to 3 As shown, the present invention provides a waveform oscillation calculation system for the reinforcing layer of an aircraft tire, comprising an image acquisition module, a real-time processing and calculation module, a core algorithm module, a data storage and management module, and a human-computer interaction and alarm module. Image acquisition module: Deployed above the tire forming machine station, it adopts a high-resolution industrial camera, a compatible telecentric lens and a high-brightness linear LED light source. The light source illuminates the surface of the reinforcing layer in a low-angle sweeping manner to highlight the cord texture and its wave deformation. The camera is synchronized with the forming machine spindle encoder to achieve equal angle and displacement trigger acquisition. Real-time processing and calculation module: It adopts the built-in image processing and waveform calculation algorithms of industrial computers to receive data from the image acquisition module in real time; Core algorithm module: Integrated into the real-time processing and calculation module, it has functions of image optimization, feature extraction, benchmark setting and swing analysis. It first filters and reduces noise, enhances contrast and corrects distortion of the acquired image, then uses a specific algorithm to accurately extract the edge and center line of the curtain wire, determines the benchmark line based on theory or the initial center line of the non-swing section, and finally compares the real-time center line with it to calculate the waveform amplitude, frequency, swing area and standard deviation and other indicators to comprehensively evaluate the waveform swing of the reinforcement layer. Data storage and management module: used to store original images, processing results, calculation indicators and corresponding timestamps, tire IDs, and process parameter information, and then establish a traceable database; Human-computer interaction and alarm module: The display screen provides a display interface to visualize waveform curves, key indicator values ​​and trend charts in real time. Thresholds can be set, and when indicators such as swing amplitude and frequency exceed the limits, an audible and visual alarm or automatic notification is triggered. The core algorithm module includes an image preprocessing unit, a curtain edge extraction and centerline positioning unit, a waveform reference definition unit, and a swing amount calculation unit. Image preprocessing unit: performs filtering and noise reduction, contrast enhancement, and distortion correction on the acquired images; Curtain edge extraction and center line positioning unit: Employs an edge detection algorithm to accurately identify the edges of single or multiple curtain threads and calculate their sub-pixel-level center lines; First, the Canny operator is used for preliminary edge detection to obtain pixel-level edges. Since the curtain cords are usually approximately parallel straight lines or gentle curves, edge pairs are matched and filtered by combining Hough transform or directional gradient information to eliminate interference from non-curtain cord edges. Then, the pixel-level edges extracted in the preliminary step are precisely located at the sub-pixel level using the gray-scale moment method or polynomial fitting method. For each pair of matched left and right edge points, the midpoint is calculated as the coordinate of the center point at that cross-section. All center points are connected along the direction of the curtain cord to form an initial center line. The initial center line is then smoothly fitted to eliminate measurement errors at individual points, resulting in a smooth, continuous, sub-pixel accurate curtain cord center line trajectory. Waveform reference definition unit: When an accurate tire CAD design model exists, the ideal cord arrangement curve of the reinforcing layer in the model is projected onto the image coordinate system as an absolute theoretical reference. When a theoretical model cannot be obtained or applied, a dynamic self-learning method is adopted. In the early stage of tire forming, the system identifies a region that is considered to have no process abnormalities and straight cords, extracts the center lines of all cords in this region, and performs spatial averaging on the extracted center lines of multiple cords without swaying to obtain a comprehensive average center line, which serves as the actual reference line for this batch or this tire. Swing Calculation Unit: Compares the real-time extracted centerline of the cord with the baseline to calculate key indicators such as waveform amplitude, waveform frequency, swing area, and swing standard deviation. Waveform amplitude: The maximum vertical distance between the center line and the baseline; Waveform frequency: The number of cycles in which the center line deviates from the baseline per unit length; Swing area: The area enclosed between the center line and the baseline, used to assess the overall degree of sway; Oscillation standard deviation: the statistical dispersion of the offset of points within a certain area; It also includes a control feedback interface module; Control feedback interface module: Feeds back the calculated waveform oscillation characteristics to the control system of the molding machine, providing conditions for closed-loop adaptive adjustment; The data storage and management module also includes a data compression and encryption module and a data mining and analysis module; Data compression and encryption module: efficiently compresses the stored raw images and processing results data to reduce storage space usage. At the same time, it uses encryption technology to encrypt sensitive data to ensure data security and privacy, and prevent data leakage and malicious tampering. Data Mining and Analysis Module: Introduces data mining algorithms to conduct in-depth analysis of stored data. Through cluster analysis, it can discover the waveform oscillation characteristic patterns of different types of tires. By using association rule mining, it can find the potential relationship between process parameters and waveform oscillation indicators, providing data support for the optimization of tire production processes. The human-computer interaction and alarm module also includes an intelligent alarm strategy module and a remote monitoring and diagnosis module; Intelligent alarm strategy module: In addition to setting fixed thresholds to trigger alarms, an intelligent alarm strategy is adopted to dynamically adjust the alarm threshold based on the tire's usage history, current operating conditions, and fault statistics of similar tires. For new tires or tires used in good environments, the alarm threshold is appropriately increased, while for tires that are nearing the end of their service life or have potential fault risks, the alarm threshold is decreased to improve the timeliness and accuracy of alarms. Remote monitoring and diagnostic module: Transmits tire waveform oscillation data and alarm information to the remote monitoring center in real time via the network. Technicians can remotely diagnose and analyze the tire status, provide timely technical support and solutions, and improve the efficiency of fault handling. In this embodiment, a low-angle grazing light source is used to highlight the cord texture and wave deformation, and synchronized with the main shaft encoder to achieve accurate image acquisition. The real-time processing and calculation module uses the built-in algorithm of the industrial computer to receive data in real time, first optimize the image, then accurately extract features and set benchmarks, and finally comprehensively calculate multiple indicators to evaluate the oscillation. This changes the traditional offline, sampling inspection mode, realizes real-time monitoring in the production process, timely alarms to prevent batch defects, and potentially supports intelligent closed-loop process optimization, which helps to stabilize the uniformity of aircraft tires, improve product performance and pass rate, and reduce rework costs.

[0020] Example 2 Based on Example 1, the present invention provides a method for calculating the waveform sway of an aircraft tire reinforcement layer, comprising the following steps: S1: System Calibration and Benchmark Establishment After the equipment is installed, spatial calibration of the camera pixel equivalent is performed to determine the conversion relationship between image coordinates and actual physical size. During the initial process stabilization stage, a recognized qualified image of the reinforcing layer is acquired, and its center line of the cord is extracted, or the theoretical design path is digitized and set as the baseline. S2: Synchronous Image Acquisition During the tire forming process, the encoder of the forming machine spindle triggers the image acquisition module to continuously or at equal intervals acquire images at the reinforcing layer bonding station, ensuring that the images cover the entire circumference or key monitoring areas. S3: Cord Feature Extraction Preprocessing is performed on each frame of the acquired image. Image processing algorithms are used to accurately extract the edges or ridges of the curtain lines in the image, and the sub-pixel level real-time center line of a single or multiple representative curtain lines is calculated by fitting. S4: Waveform Oscillation Calculation and Analysis Align the real-time centerline with the baseline in the same coordinate system, sample points at fixed intervals along the length of the centerline, calculate the vertical offset of the real-time centerline relative to the baseline at each sampling point, and calculate the waveform amplitude, waveform wavelength, and comprehensive oscillation index based on the offset sequence of all sampling points. This can be used to calculate multiple curtain lines and analyze the consistency of oscillation. S5: Results Output and Decision Support The system displays waveform curves, key indicators, and historical trends in real time, and compares the calculation results with preset process quality standard thresholds. If the limit is exceeded, an alarm will be triggered immediately, and the associated process parameters will be recorded, along with possible causes. S6. Store all data for individual tire quality records and batch quality statistical analysis; S7. Send the swing characteristic value to the control system for real-time fine-tuning of the relevant actuators.

[0021] Example 3 Based on Example 1, the present invention provides a waveform oscillation calculation system for the reinforcement layer of an aircraft tire, such as... Figures 4 to 10 As shown, the image acquisition module includes a support device, an adjustment device, a drive device, a housing 101, an industrial camera 102, a transparent window 103, a cover 104, a cleaning brush 105, an annular tube 106, a nozzle 107, and an exhaust port 108. An LED light is provided at the front end of the housing 101. The housing 101 is mounted on a support device, which is used to move and adjust the housing 101. The industrial camera 102 is housed inside the housing 101; The transparent window 103 is disposed on the outer side wall of the front end of the housing 101; The cover 104 is mounted on the housing 101 by swinging and rotating through an adjustment device; The cleaning brush 105 is rotated and installed inside the cover 104 via a drive device; The annular tube 106 is installed on the inner wall of the cover 104; Multiple sets of nozzles 107 are connected and installed on the outer wall of the annular pipe 106, and the driving device is used to deliver air into the annular pipe 106. The exhaust port 108 is located on the outer wall of the cover 104; The driving device includes a pneumatic motor 201, a connecting shaft 202, a bevel gear 203, a spline sleeve 204, a spline shaft 205, a spring 206, and a tank 208. The pneumatic motor 201 is installed on the outer wall of the cover 104; The connecting shaft 202 is rotatably mounted on the inner wall of the cover 104, and the top end of the connecting shaft 202 is connected to the output end of the pneumatic motor 201. The first set of bevel gears 203 is installed at the bottom end of the connecting shaft 202, and the second set of bevel gears 203 is installed at the front end of the spline sleeve 204. The two sets of bevel gears 203 mesh with each other. Spline sleeve 204 is rotatably mounted on the inner wall of cover 104; Spline shaft 205 is slidably mounted on spline sleeve 204, with the front end of spline shaft 205 connected to the middle of cleaning brush 105; Spring 206 is fitted onto the outside of spline sleeve 204 and spline shaft 205; The tank 208 is connected to the air inlet of the pneumatic motor 201 through a pipeline, and the exhaust end of the pneumatic motor 201 is connected to the annular pipe 106 through a pipeline. The support device includes a first housing 301, a connecting arm 302, a support rod 303, an electric cylinder 304, a robotic arm 305, and an electric rotary table 306. The rear ends of multiple sets of connecting arms 302 are rotatably mounted on the inner side wall of the first chassis 301 via support rods 303, and the front ends of multiple sets of connecting arms 302 are rotatably connected to the outer side wall of the housing 101. The fixed end of the electric cylinder 304 is rotatably mounted on the inner side wall of the first housing 301; The moving end of the electric cylinder 304 is rotatably connected to the connecting arm 302; The moving end of the robotic arm 305 is connected to the outer wall of the first housing 301, and the upper part of the robotic arm 305 is mounted on the rotating end of the electric rotary table 306. The adjustment device includes a second housing 401, a worm gear 402, a worm 403, and a motor 404; The second chassis 401 is mounted on the outer wall of the housing 101, and the cover 104 is rotatably mounted on the second chassis 401; The worm gear 402 is mounted on the rotating end of the cover 104; The worm gear 403 is rotatably mounted on the outer wall of the second housing 401, and the worm gear 403 meshes with the worm wheel 402. Motor 404 is mounted on the outer wall of the second housing 401, and the output end of motor 404 is connected to worm gear 403; In this embodiment, the housing 101 is moved to the desired shooting position by a support device, and the tire is photographed by an industrial camera 102. The lens of the industrial camera 102 is protected by a transparent window 103. After shooting, the cover 104 is swung and rotated by an adjustment device and mounted on the front end of the housing 101. At this time, the cleaning brush 105 contacts the outer surface of the transparent window 103. Then, the cleaning brush 105 is rotated by a drive device, so that the cleaning brush 105 cleans the surface of the transparent window 103. At the same time, the drive device delivers air into the annular pipe 106, and blows the air onto the surface of the transparent window 103 through multiple sets of nozzles 107, thereby cleaning the transparent window 103. The dust and air blown out are discharged through the exhaust port 108, reducing the impact of dirt attached to the surface of the transparent window 103 on the shooting and improving the efficiency of the transparent window. The automatic cleaning of window 103 improves convenience and effectiveness, enhancing the accuracy and reliability of image acquisition by the industrial camera 102. When the cover 104 is installed on the front end of the housing 101, compressed air from the tank 208 is delivered to the pneumatic motor 201, causing the output end of the pneumatic motor 201 to rotate. The output end of the pneumatic motor 201 drives the connecting shaft 202 to rotate, which in turn drives the spline sleeve 204 to rotate via the bevel gear 203. This causes the spline sleeve 204 to rotate the cleaning brush 105, which cleans the surface of the transparent window 103. The air discharged from the exhaust end of the pneumatic motor 201 is delivered to the annular pipe 106, allowing multiple nozzles 107 to blow air across the surface of the transparent window 103. This combination of cleaning and blowing improves the cleaning effect and efficiency of the transparent window 103.

[0022] The main functions achieved by this invention are: 1. Low-angle grazing light source highlights the texture and wave deformation of the curtain, and synchronizes with the main shaft encoder to achieve accurate image acquisition. The real-time processing and calculation module uses the built-in algorithm of the industrial computer to receive data in real time, first optimize the image, then accurately extract features and set the benchmark, and finally comprehensively calculate multiple indicators to evaluate the swing. 2. Improve the convenience and effectiveness of automatic cleaning of the transparent window 103, and improve the accuracy and reliability of image acquisition by the industrial camera 102.

[0023] The industrial camera 102, pneumatic motor 201, electric cylinder 304, robotic arm 305, electric rotary table 306, and motor 404 of the aircraft tire reinforcement layer waveform oscillation calculation system and method of the present invention are commercially available. Technical personnel in this industry only need to install and operate them according to the accompanying instruction manual, without requiring any creative work from those skilled in the art.

[0024] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A system for calculating the waveform oscillation of an aircraft tire reinforcement layer, characterized in that, It includes an image acquisition module, a real-time processing and computing module, a core algorithm module, a data storage and management module, and a human-computer interaction and alarm module; Image acquisition module: Deployed above the tire forming machine station, it adopts a high-resolution industrial camera, a compatible telecentric lens and a high-brightness linear LED light source. The light source illuminates the surface of the reinforcing layer in a low-angle sweeping manner to highlight the cord texture and its wave deformation. The camera is synchronized with the forming machine spindle encoder to achieve equal angle and displacement trigger acquisition. Real-time processing and calculation module: It adopts the built-in image processing and waveform calculation algorithms of industrial computers to receive data from the image acquisition module in real time; Core algorithm module: Integrated into the real-time processing and calculation module, it has functions of image optimization, feature extraction, benchmark setting and swing analysis. It first filters and reduces noise, enhances contrast and corrects distortion of the acquired image, then uses a specific algorithm to accurately extract the edge and center line of the curtain wire, determines the benchmark line based on theory or the initial center line of the non-swing section, and finally compares the real-time center line with it to calculate the waveform amplitude, frequency, swing area and standard deviation and other indicators to comprehensively evaluate the waveform swing of the reinforcement layer. Data storage and management module: used to store original images, processing results, calculation indicators and corresponding timestamps, tire IDs, and process parameter information, and then establish a traceable database; Human-computer interaction and alarm module: The display screen provides a display interface to visualize waveform curves, key indicator values ​​and trend charts in real time. Thresholds can be set, and when indicators such as swing amplitude and frequency exceed the limits, an audible and visual alarm or automatic notification is triggered.

2. The aircraft tire reinforcement layer waveform oscillation calculation system as described in claim 1, characterized in that, The core algorithm module includes an image preprocessing unit, a curtain edge extraction and centerline positioning unit, a waveform reference definition unit, and a swing amount calculation unit. Image preprocessing unit: performs filtering and noise reduction, contrast enhancement, and distortion correction on the acquired images; Curtain edge extraction and center line positioning unit: Employs an edge detection algorithm to accurately identify the edges of single or multiple curtain threads and calculate their sub-pixel-level center lines; First, the Canny operator is used for preliminary edge detection to obtain pixel-level edges. Since the curtain cords are usually approximately parallel straight lines or gentle curves, edge pairs are matched and filtered by combining Hough transform or directional gradient information to eliminate interference from non-curtain cord edges. Then, the pixel-level edges extracted in the preliminary step are precisely located at the sub-pixel level using the gray-scale moment method or polynomial fitting method. For each pair of matched left and right edge points, the midpoint is calculated as the coordinate of the center point at that cross-section. All center points are connected along the direction of the curtain cord to form an initial center line. The initial center line is then smoothly fitted to eliminate measurement errors at individual points, resulting in a smooth, continuous, sub-pixel accurate curtain cord center line trajectory. Waveform reference definition unit: When an accurate tire CAD design model exists, the ideal cord arrangement curve of the reinforcing layer in the model is projected onto the image coordinate system as an absolute theoretical reference. When a theoretical model cannot be obtained or applied, a dynamic self-learning method is adopted. In the early stage of tire forming, the system identifies a region that is considered to have no process abnormalities and straight cords, extracts the center lines of all cords in this region, and performs spatial averaging on the extracted center lines of multiple cords without swaying to obtain a comprehensive average center line, which serves as the actual reference line for this batch or this tire. Swing Calculation Unit: Compares the real-time extracted centerline of the cord with the baseline to calculate key indicators such as waveform amplitude, waveform frequency, swing area, and swing standard deviation. Waveform amplitude: The maximum vertical distance between the center line and the baseline; Waveform frequency: The number of cycles in which the center line deviates from the baseline per unit length; Swing area: The area enclosed between the center line and the baseline, used to assess the overall degree of sway; Oscillation standard deviation: The statistical dispersion of the offset of points within a certain area.

3. The aircraft tire reinforcement layer waveform oscillation calculation system as described in claim 1, characterized in that, It also includes a control feedback interface module; Control feedback interface module: Feeds back the calculated waveform oscillation characteristics to the control system of the molding machine, providing conditions for closed-loop adaptive adjustment.

4. The aircraft tire reinforcement layer waveform oscillation calculation system as described in claim 1, characterized in that, The data storage and management module also includes a data compression and encryption module and a data mining and analysis module; Data compression and encryption module: efficiently compresses the stored raw images and processing results data to reduce storage space usage. At the same time, it uses encryption technology to encrypt sensitive data to ensure data security and privacy, and prevent data leakage and malicious tampering. Data Mining and Analysis Module: This module introduces data mining algorithms to conduct in-depth analysis of stored data. Through cluster analysis, it can discover the waveform oscillation characteristics of different types of tires. By using association rule mining, it can find the potential relationship between process parameters and waveform oscillation indicators, providing data support for the optimization of tire production processes.

5. The aircraft tire reinforcement layer waveform oscillation calculation system as described in claim 1, characterized in that, The human-computer interaction and alarm module also includes an intelligent alarm strategy module and a remote monitoring and diagnosis module; Intelligent alarm strategy module: In addition to setting fixed thresholds to trigger alarms, an intelligent alarm strategy is adopted to dynamically adjust the alarm threshold based on the tire's usage history, current operating conditions, and fault statistics of similar tires. For new tires or tires used in good environments, the alarm threshold is appropriately increased, while for tires that are nearing the end of their service life or have potential fault risks, the alarm threshold is decreased to improve the timeliness and accuracy of alarms. Remote monitoring and diagnostic module: Transmits tire waveform oscillation data and alarm information to a remote monitoring center in real time via the network. Technicians can remotely diagnose and analyze the tire status, providing timely technical support and solutions to improve the efficiency of fault handling.

6. A method for calculating the waveform oscillation of an aircraft tire reinforcement layer, characterized in that, Includes the following steps: S1: System Calibration and Benchmark Establishment After the equipment is installed, spatial calibration of the camera pixel equivalent is performed to determine the conversion relationship between image coordinates and actual physical size. During the initial process stabilization stage, a recognized qualified image of the reinforcing layer is acquired, and its center line of the cord is extracted, or the theoretical design path is digitized and set as the baseline. S2: Synchronous Image Acquisition During the tire forming process, the encoder of the forming machine spindle triggers the image acquisition module to continuously or at equal intervals acquire images at the reinforcing layer bonding station, ensuring that the images cover the entire circumference or key monitoring areas. S3: Cord Feature Extraction Preprocessing is performed on each frame of the acquired image. Image processing algorithms are used to accurately extract the edges or ridges of the curtain lines in the image, and the sub-pixel level real-time center line of a single or multiple representative curtain lines is calculated by fitting. S4: Waveform Oscillation Calculation and Analysis Align the real-time centerline with the baseline in the same coordinate system, sample points at fixed intervals along the length of the centerline, calculate the vertical offset of the real-time centerline relative to the baseline at each sampling point, and calculate the waveform amplitude, waveform wavelength, and comprehensive oscillation index based on the offset sequence of all sampling points. This can be used to calculate multiple curtain lines and analyze the consistency of oscillation. S5: Results Output and Decision Support The system displays waveform curves, key indicators, and historical trends in real time, and compares the calculation results with preset process quality standard thresholds. If the limit is exceeded, an alarm will be triggered immediately, and the associated process parameters will be recorded, along with possible causes. S6. Store all data for individual tire quality records and batch quality statistical analysis; S7. Send the swing characteristic value to the control system for real-time fine-tuning of the relevant actuators.

7. The aircraft tire reinforcement layer waveform oscillation calculation system as described in claim 1, characterized in that, The image acquisition module includes a support device, an adjustment device, a drive device, a housing (101), an industrial camera (102), a transparent window (103), a cover (104), a cleaning brush (105), an annular tube (106), a nozzle (107), and an exhaust port (108). An LED light is provided at the front end of the housing (101). The housing (101) is mounted on a support device, which is used to move and adjust the housing (101). The industrial camera (102) is housed inside the housing (101); A transparent window (103) is provided on the outer wall of the front end of the housing (101); The cover (104) is mounted on the housing (101) by swinging and rotating through an adjustment device; The cleaning brush (105) is rotated and installed inside the cover (104) by a drive device; The annular tube (106) is installed on the inner wall of the cover (104); Multiple sets of nozzles (107) are connected and installed on the outer wall of the annular pipe (106), and the driving device is used to deliver air into the annular pipe (106); The exhaust port (108) is located on the outer wall of the cover (104).

8. The aircraft tire reinforcement layer waveform oscillation calculation system as described in claim 7, characterized in that, The drive device includes a pneumatic motor (201), a connecting shaft (202), a bevel gear (203), a spline sleeve (204), a spline shaft (205), a spring (206), and a tank (208). The pneumatic motor (201) is mounted on the outer wall of the cover (104); The connecting shaft (202) is rotatably mounted on the inner wall of the cover (104), and the top end of the connecting shaft (202) is connected to the output end of the pneumatic motor (201); The first set of bevel gears (203) is installed at the bottom end of the connecting shaft (202), and the second set of bevel gears (203) is installed at the front end of the spline sleeve (204). The two sets of bevel gears (203) mesh with each other. The spline sleeve (204) is rotatably mounted on the inner wall of the cover (104); The spline shaft (205) is slidably mounted on the spline sleeve (204), and the front end of the spline shaft (205) is connected to the middle of the cleaning brush (105); The spring (206) is fitted onto the outside of the spline sleeve (204) and the spline shaft (205); The tank (208) is connected to the air inlet of the pneumatic motor (201) through a pipeline, and the exhaust end of the pneumatic motor (201) is connected to the annular pipe (106) through a pipeline.

9. The aircraft tire reinforcement layer waveform oscillation calculation system as described in claim 7, characterized in that, The support device includes a first housing (301), a connecting arm (302), a support rod (303), an electric cylinder (304), a robotic arm (305), and an electric rotary table (306). The rear ends of multiple sets of connecting arms (302) are rotatably mounted on the inner side wall of the first chassis (301) via support rods (303), and the front ends of multiple sets of connecting arms (302) are rotatably connected to the outer side wall of the housing (101); The fixed end of the electric cylinder (304) is rotatably mounted on the inner side wall of the first housing (301); The moving end of the electric cylinder (304) is rotatably connected to the connecting arm (302); The moving end of the robotic arm (305) is connected to the outer wall of the first housing (301), and the upper part of the robotic arm (305) is mounted on the rotating end of the electric rotary table (306).

10. The aircraft tire reinforcement layer waveform oscillation calculation system as described in claim 7, characterized in that, The adjustment device includes a second housing (401), a worm gear (402), a worm (403), and a motor (404). The second chassis (401) is mounted on the outer wall of the housing (101), and the cover (104) is rotatably mounted on the second chassis (401); The worm gear (402) is mounted on the rotating end of the cover (104); The worm (403) is rotatably mounted on the outer wall of the second housing (401), and the worm (403) meshes with the worm wheel (402); The motor (404) is mounted on the outer wall of the second housing (401), and the output end of the motor (404) is connected to the worm (403).

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