On-line visual automatic detection device and method for bead joint of a tire

Abstract

The present disclosure provides an online visual automatic detection device and method for bead joint, and relates to the field of tire component production equipment. The specific steps are as follows: moving a laser sensor system to a detection position through a lifting assembly; driving a tire bead rotating assembly to rotate a tire bead to be detected; collecting tire bead profile data according to the laser sensor system; generating a tire profile graph according to the tire bead profile data; and analyzing the tire profile graph to generate a tire bead quality detection result. The present disclosure analyzes the scanned profile data to detect whether there are adverse conditions such as misalignment, cracking, excessive overlap, and insufficient overlap in sequence, and obtains a tire bead quality detection result, so that tire bead quality problems can be found in time, and the production efficiency is improved.

Description

Technical Field

[0001] This disclosure relates to the field of tire component manufacturing equipment, and in particular to an online visual automatic inspection device and method for triangular rubber bead joints. Background Technology

[0002] The tire bead is a component in tire forming, primarily used to secure the tire to the rim and playing a crucial role in the tire's load-bearing capacity. Bead production equipment consists of an extruder, a production line, and a bonding unit. The extruder first extrudes triangular rubber of a predetermined shape, which is then weighed and cooled on the production line before being sent to the bonding unit for bonding. The bonding unit first cuts the triangular rubber to a fixed length, then overlaps the beginning and end of the material to form a closed loop and applies it to the forming drum. After the forming drum loads the steel rim, it opens, flipping the triangular rubber applied to its surface onto the steel rim to form the tire bead.

[0003] In traditional production, the quality inspection of the beginning and end of the process mainly relies on visual inspection by operators, which carries risks such as inconsistent standards and missed inspections. If operators do not strictly adhere to process control requirements, it can lead to batch quality incidents. In recent years, some equipment has adopted visual inspection technology to inspect the joints before the tire bead is formed and turned over; however, the inspection accuracy is low, the stability is insufficient, and problems such as cracking still exist after turning over, making them difficult to detect. For post-turned-over inspection, due to the instability of the position, it is difficult to establish a stable template for comparative analysis, making it difficult to determine whether there is too much or too little overlap. Summary of the Invention

[0004] This disclosure provides an online visual automatic inspection device and method for triangular rubber bead joints. The technical solution of this disclosure is as follows:

[0005] According to a first aspect of the present disclosure, an online visual automatic detection device for triangular rubber bead joints is provided, comprising: a lifting assembly, a bead rotation assembly, and a laser sensor system;

[0006] The lifting assembly is connected to the laser sensor system and is used to move the position of the laser sensor system via a cylinder.

[0007] The tire bead rotation assembly is driven by a servo motor and is used to rotate the tire bead to be tested mounted thereon.

[0008] According to a second aspect of the present disclosure, an online visual automatic inspection method for triangular rubber bead joints is provided, comprising:

[0009] The laser sensor system is moved to the detection position using a lifting assembly;

[0010] The tire bead rotation assembly is driven to rotate the tire bead to be detected, and the tire bead contour data is collected according to the laser sensor system.

[0011] A tire profile map is generated based on the tire bead profile data, and the tire profile map is analyzed to generate tire bead quality inspection results.

[0012] Optionally, the step of driving the bead rotation assembly to rotate the bead to be detected specifically includes:

[0013] Set the diameter of the tire bead to be detected, and determine the rotational angular velocity of the tire bead rotating assembly based on the preset linear velocity and the diameter;

[0014] The tire bead to be detected is rotated from the starting point to the ending point according to the rotational angular velocity.

[0015] Optionally, the bead contour data includes the coordinates of each point on the detection line corresponding to the laser sensor system, and the step of generating a tire contour map based on the bead contour data specifically includes:

[0016] The coordinates of each point on the detection line are stitched together in the order of acquisition to generate the tire profile diagram, wherein the coordinates include the horizontal coordinate x, the vertical coordinate y, and the height coordinate z.

[0017] Optionally, the step of analyzing the tire profile to generate the bead quality inspection result specifically includes:

[0018] Obtain the step point in the starting region of the tire profile where the z-coordinate changes abruptly, and obtain the first edge corresponding to the first ordinate value based on the first ordinate value of the step point.

[0019] Obtain the step point in the end region of the tire profile where the z-coordinate changes abruptly, and obtain the second edge corresponding to the second ordinate value based on the second ordinate value of the step point;

[0020] The misalignment value is determined based on the difference in the ordinate values ​​of each point on the first edge and the second edge, thereby determining the tire bead quality inspection result.

[0021] Optionally, the step of analyzing the tire profile to generate the bead quality inspection result specifically includes:

[0022] Obtain the edge region corresponding to the y-coordinate of the edge in the tire profile image;

[0023] Obtain the z-value difference between adjacent points in the edge region to determine the crack point where the z-value undergoes a step change;

[0024] The area of ​​the cracked region formed by the cracked points is obtained to determine the tire bead quality test result.

[0025] Optionally, the step of analyzing the tire profile to generate the bead quality inspection result specifically includes:

[0026] The tire profile is divided into multiple first overlap detection areas along the y direction according to the preset thickness of the first overlap detection area. The absolute value of the difference between the maximum value and the minimum value of the y coordinate of the point in the first overlap detection area is equal to the thickness of the first overlap detection area.

[0027] The average value of the z-value of each coordinate point within the first overlap detection area is obtained as the standard average value corresponding to the first overlap detection area.

[0028] The first overlap detection area is divided into multiple second overlap detection areas along the x-direction according to the preset thickness of the second overlap detection area, and the average value of the z-value of the coordinate points in each of the second overlap detection areas is obtained.

[0029] The tire bead quality test result of the first overlap test area is determined based on the difference between the measured average value and the standard average value of the corresponding first overlap test area.

[0030] According to a third aspect of the present disclosure, an electronic device is provided, comprising:

[0031] processor;

[0032] Memory used to store the processor's executable instructions;

[0033] The processor is configured to execute the instructions to implement the method as described in any one of the first aspects above.

[0034] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, wherein when instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to perform the method as described in any one of the first aspects above.

[0035] According to a fifth aspect of the present disclosure, a computer program product is provided, including a computer program that, when executed by a processor, implements the method according to any one of the first aspects described above.

[0036] The technical solutions provided by the embodiments of this disclosure have at least the following beneficial effects:

[0037] By using an online visual automatic inspection method for triangular rubber bead joints, the scanned contour data is analyzed to detect defects such as misalignment, cracking, excessive or insufficient overlap, and obtain bead quality inspection results. This allows for the timely detection of bead quality problems and improves production efficiency.

[0038] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0039] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure, and are not intended to unduly limit this disclosure.

[0040] Figure 1 This is a schematic diagram of an online visual automatic inspection device for a triangular rubber bead joint, according to an exemplary embodiment.

[0041] Figure 2 This is a flowchart illustrating an online visual automatic inspection method for triangular rubber bead joints according to an exemplary embodiment.

[0042] Figure 3 This is a schematic diagram of a triangular rubber joint with staggered edges, according to an exemplary embodiment.

[0043] Figure 4 This is a schematic diagram illustrating the cracking of a triangular rubber joint overlap according to an exemplary embodiment.

[0044] Figure 5 This is a schematic diagram illustrating the overlapping problem of a triangular rubber joint according to an exemplary embodiment.

[0045] Figure 6 This is a schematic diagram illustrating the overlap thickness partition of a triangular rubber joint according to an exemplary embodiment.

[0046] Figure 7 This is a schematic diagram of the triangular rubber bead after flipping over.

[0047] Figure 8 This is a block diagram illustrating an apparatus according to an exemplary embodiment.

[0048] Figure 9 This is a block diagram illustrating an apparatus according to an exemplary embodiment. Detailed Implementation

[0049] To enable those skilled in the art to better understand the technical solutions of this disclosure, the technical solutions in the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings.

[0050] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0051] It should be noted that the user information involved in this disclosure (including but not limited to user device information, user personal information, etc.) is all information authorized by the user or fully authorized by all parties.

[0052] The tire bead is a component in tire forming, primarily used to secure the tire to the rim and playing a crucial role in the tire's load-bearing capacity. Bead production equipment consists of an extruder, a production line, and a bonding unit. The extruder first extrudes triangular rubber of a predetermined shape, which is then weighed and cooled on the production line before being sent to the bonding unit for bonding. The bonding unit first cuts the triangular rubber to a fixed length, then overlaps the beginning and end of the material to form a closed loop and applies it to the forming drum. After the forming drum loads the steel rim, it opens, flipping the triangular rubber applied to its surface onto the steel rim to form the tire bead.

[0053] In this series of operations, the overlap at the beginning and end is a crucial quality parameter. Because triangular rubber is relatively soft and easily stretched and deformed, the effect of the overlap will vary under the same equipment and mechanical parameters, depending on the environment. Overlapping often results in defects such as excessive overlap, insufficient overlap, misalignment, and cracking.

[0054] In traditional production, the quality inspection of the beginning and end of the process mainly relies on visual inspection by operators, which carries risks such as inconsistent standards and missed inspections. If operators do not strictly adhere to process control requirements, it can lead to batch quality incidents. In recent years, some equipment has adopted visual inspection technology to inspect the joints before the tire bead is formed and turned over; however, the inspection accuracy is low, the stability is insufficient, and problems such as cracking still exist after turning over, making them difficult to detect. For post-turned-over inspection, due to the instability of the position, it is difficult to establish a stable template for comparative analysis, making it difficult to determine whether there is too much or too little overlap.

[0055] Figure 1 This is a schematic diagram illustrating the structure of an online visual automatic inspection device for triangular rubber bead joints according to an exemplary embodiment. Figure 1 As shown, the device includes:

[0056] Lifting assembly 101, tire bead rotation assembly 102, laser sensor system 103;

[0057] The lifting assembly 101 is connected to the laser sensor system 103 and is used to move the position of the laser sensor system 103 by means of a cylinder.

[0058] The bead rotation assembly 102 is driven by a servo motor to rotate the bead to be tested mounted thereon.

[0059] The laser sensor system 103 includes a line laser sensor. The lifting assembly 101 is driven by a cylinder. After receiving a PLC signal, it can lower the line laser sensor from the waiting position to the scanning position. After the tire bead contour scanning is completed, the line laser sensor is then raised back to the waiting position.

[0060] The tire bead rotation assembly 102 is driven by a servo motor to provide the fixed linear speed required for the rotation of the tire bead to be detected. The angular velocity is adjusted according to different tire bead diameter parameters to achieve a fixed linear speed, ensuring automatic conversion of multiple specifications and stable linear speed.

[0061] The laser sensor system 103 is mainly responsible for acquiring tire bead contour data. It receives a PLC signal to start data acquisition, stops acquisition when the PLC signal is disconnected, and analyzes the data. The line laser sensor is installed parallel to the tire bead being tested and can detect the relative height value of each point on a line illuminated by the line laser (the distance between the object being tested and the line laser sensor, not the specific thickness of the tire bead). The tire bead is rotated at a constant speed by the rotating component 102, scanning the arc-shaped tire bead into a rectangular contour. Each point on the generated rectangular contour is represented by the structure Pos(x,y,z). x represents the position value of the tire bead in the direction of rotation, y represents the position value of the tire bead in the width direction, and z represents the relative height value of the tire bead.

[0062] This embodiment enables the tire bead to be rotated and its contour data to be collected by a line laser, requiring no manual intervention throughout the entire process. It is fully automated and applicable to multiple specifications. Since the object being tested is already upright, it allows for the most direct inspection of the joint quality.

[0063] Figure 2 This is a flowchart illustrating an online visual automatic inspection method for triangular rubber bead joints according to an exemplary embodiment. Figure 2 As shown, the method includes:

[0064] Step 201: Move the laser sensor system to the detection position using the lifting assembly;

[0065] The laser sensor system 103 includes a line laser sensor. The lifting assembly 101 is driven by a cylinder. After receiving a PLC signal, it can lower the line laser sensor from the waiting position to the scanning position. After the tire bead contour scanning is completed, the line laser sensor is then raised back to the waiting position.

[0066] Step 202: Drive the bead rotation assembly to rotate the bead to be detected, and collect bead contour data according to the laser sensor system;

[0067] The laser sensor system 103 is mainly responsible for acquiring tire bead contour data. It receives a PLC signal to start data acquisition, stops acquisition when the PLC signal is disconnected, and analyzes the data. The line laser sensor is installed parallel to the tire bead being tested and can detect the relative height value of each point on a line illuminated by the line laser (the distance between the object being tested and the line laser sensor, not the specific thickness of the tire bead). The tire bead is rotated at a constant speed by the rotating component 102, scanning the arc-shaped tire bead into a rectangular contour. Each point on the generated rectangular contour is represented by the structure Pos(x,y,z). x represents the position value of the tire bead in the direction of rotation, y represents the position value of the tire bead in the width direction, and z represents the relative height value of the tire bead.

[0068] Step 203: Generate a tire profile map based on the tire bead profile data, and analyze the tire profile map to generate tire bead quality inspection results.

[0069] Based on the above tire bead contour data, the tire surface can be unfolded onto a plane to generate a three-dimensional tire contour map. Each point in the map has an abscissa x, ordinate y, and height coordinate z. The position of any point in the tire contour map represents its abscissa x and ordinate y, and the color intensity of the point represents its corresponding height coordinate z. The darker the color, the larger the height coordinate z.

[0070] The tire profile diagram is analyzed to determine if there are any defects in the tire bead to be tested, such as misalignment, cracking, excessive or insufficient overlap, in order to generate tire bead quality inspection results.

[0071] The method described in this embodiment assesses joint quality by collecting the relative height of each point within the scanning area and determining the relative height difference between adjacent points. Unlike traditional template comparison methods, this method offers advantages such as strong versatility and high resistance to interference.

[0072] Optionally, the step of driving the bead rotation assembly to rotate the bead to be detected specifically includes:

[0073] Set the diameter of the tire bead to be detected, and determine the rotational angular velocity of the tire bead rotating assembly based on the preset linear velocity and the diameter;

[0074] In this embodiment, the bead rotation assembly 102 is driven by a servo motor to provide the fixed linear speed required for the rotation of the bead to be detected. To ensure a fixed linear speed, the angular velocity of the bead rotation assembly 102 needs to be adjusted according to the diameter of the bead to be detected, so as to ensure automatic conversion between multiple specifications and stable linear speed.

[0075] The relationship between linear velocity and angular velocity is: v = ωR, where v is the linear velocity, ω is the angular velocity, and R is the radius. Therefore, the rotational angular velocity can be obtained by dividing the preset linear velocity by the radius (half the diameter) of the tire bead to be detected.

[0076] The tire bead to be tested is rotated from the starting point to the ending point according to the rotational angular velocity, wherein the starting point and ending point cover the entire triangular rubber interface.

[0077] For each tire bead to be inspected, only one rotation is needed to capture the entire contour of the tire bead's surface.

[0078] Optionally, the bead contour data includes the coordinates of each point on the detection line corresponding to the laser sensor system, and the step of generating a tire contour map based on the bead contour data specifically includes:

[0079] The coordinates of each point on the detection line are stitched together in the order of acquisition to generate the tire profile diagram, wherein the coordinates include the horizontal coordinate x, the vertical coordinate y, and the height coordinate z.

[0080] Optionally, step 101, which involves analyzing the tire profile to generate a bead quality inspection result, specifically includes:

[0081] Step 301: Obtain the step point in the starting region of the tire profile where the z-coordinate changes abruptly, and obtain the first edge corresponding to the first ordinate value based on the first ordinate value of the step point.

[0082] Step 302: Obtain the step point in the end region of the tire profile map where the z-coordinate changes abruptly, and obtain the second edge corresponding to the second ordinate value based on the second ordinate value of the step point;

[0083] Step 303: Determine the misalignment value based on the difference in the ordinate values ​​of each point on the first edge and the second edge, so as to determine the tire bead quality inspection result.

[0084] The key to misalignment detection lies in locating the edge positions before and after the tire bead overlap. Within the tested tire bead area, the z value is a stable and continuously changing value; outside the tire bead area, the z value is an infinite number. The abrupt change in z value is determined by analyzing the data acquisition starting point area. The corresponding y-coordinate is used to define an edge x1; similarly, the y-coordinate of the data acquisition ending area is used to define an edge x2. By comparing the y-coordinate values ​​of edge 1 and edge 2, the misalignment value (difference in ordinate value) before and after the joint overlap is obtained. Figure 3 This is a schematic diagram illustrating the overlapping and misaligned sides of a triangular rubber joint according to an exemplary embodiment. Figure 3 As shown, the coordinate difference between the two endpoints on each edge of a good quality tire should be less than a certain threshold to ensure normal tire use. That is, the misalignment value needs to be less than a certain threshold. If the misalignment value is greater than the process setting standard, a tire bead quality alarm will be triggered.

[0085] Optionally, step 101, which involves analyzing the tire profile to generate a bead quality inspection result, specifically includes:

[0086] Step 501: Obtain the edge region corresponding to the y-coordinate of the edge in the tire profile diagram;

[0087] Step 502: Obtain the z-value difference between adjacent points in the edge region and determine the cracking point where the z-value undergoes a step change;

[0088] Step 503: Obtain the area of ​​the cracked region formed by the cracked points to determine the tire bead quality test result.

[0089] Figure 4 This is a schematic diagram illustrating the cracking of a triangular rubber joint lap according to an exemplary embodiment. Figure 4 As shown, joint cracking often occurs at the overlap of the thin edge of the triangular rubber. Utilizing this characteristic, the detection range can be narrowed down to a certain area at the edge, where the y-coordinate of a point meets a specific numerical range. Within this area, it is determined whether the z-value exhibits a sudden change; the point of such a change is identified as the crack point. A defect appears in the bead at the crack point. The area of ​​the cracked region formed by the crack point is obtained. If the area of ​​the cracked region exceeds a certain area threshold, it indicates poor bead quality, requiring a bead quality alarm.

[0090] Optionally, an alarm can be triggered based on the number of crack points. If multiple crack points with consecutive abrupt changes in width appear, a crack can be identified. If the crack width exceeds the process setting standard, a tire bead quality alarm will be triggered.

[0091] In one possible embodiment, the edge region is a 10 mm range from the edge of the tire profile, that is, the y-coordinate of a point within a 10 mm range from the edge of the tire profile is the edge y-coordinate.

[0092] Optionally, step 101, which involves analyzing the tire profile to generate a bead quality inspection result, specifically includes:

[0093] Step 701: Divide the tire profile into multiple first overlap detection areas along the y direction according to the preset thickness of the first overlap detection area, wherein the absolute value of the difference between the maximum value of the y coordinate and the minimum value of the y coordinate of the point in the first overlap detection area is equal to the thickness of the first overlap detection area.

[0094] Step 702: Obtain the average value of the z-value of each coordinate point within the first overlap detection area as the standard average value corresponding to the first overlap detection area.

[0095] Step 703: Divide the first overlap detection area into multiple second overlap detection areas along the x direction according to the preset thickness of the second overlap detection area, and obtain the average value of the z-value of the coordinate points in each of the second overlap detection areas.

[0096] Step 704: Determine the bead quality test result of the first overlap test area based on the difference between the measured average value and the standard average value of the corresponding first overlap test area.

[0097] Figure 5 This is a schematic diagram illustrating the overlapping problem of a triangular rubber joint according to an exemplary embodiment. Figure 5 As shown, Figure 5 (a) shows a diagram of a partially overlapped joint, and (b) shows a diagram of a partially overlapped joint. This test is conducted after the tire bead has been turned up and formed, at which point the actual overlap is complete, making it impossible to measure the length of the overlap. Therefore, the thickness of the overlap area is measured for testing. If there is a partially overlap, the overlap area will be thicker than other areas; if there is a partially overlap, the overlap area will be thinner than other areas. Figure 6 This is a schematic diagram illustrating the lap thickness partitioning of a triangular rubber joint according to an exemplary embodiment. (See diagram below.) Figure 6As shown, utilizing the above characteristics, the collected data is divided into several first overlap detection areas along the y-direction (the specific thickness of the first overlap detection area is set according to the actual situation). The average value Ave_[0]...Ave_[n] of the z-value in each first overlap detection area is calculated and used as the standard value in that first overlap detection area. Then, each first overlap detection area is divided into several second overlap detection areas along the x-direction (the specific thickness of the second overlap detection area is set according to the actual situation), and the average value Ave_xy[0,0],...Ave_xy[n,n] of each area is taken out. The average thickness Ave_xy[n,n] of each second overlap detection area is compared with the standard thickness value Ave_[n] of the first overlap detection area. If |Ave_xy[n,n]-Ave_[n]| is greater than the process setting standard, a tire bead quality alarm is triggered.

[0098] Figure 7 This is a schematic diagram of the triangular tire bead after it has been flipped up. Figure 7 As shown, 104 is the triangular adhesive bonding line, and 105 is the line laser scanning area. The two ends of 105 are the start and end points of the acquisition. In this embodiment, only the area where the triangular adhesive bonding line 104 is located, i.e., 105, needs to be detected; other parts do not need to be detected.

[0099] Figure 8 This is a block diagram illustrating an apparatus 800 according to an exemplary embodiment. For example, apparatus 800 may be a mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, medical device, fitness equipment, personal digital assistant, etc.

[0100] Reference Figure 8 The device 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input / output (I / O) interface 812, a sensor component 814, and a communication component 816.

[0101] Processing component 802 typically controls the overall operation of device 800, such as operations associated with display, telephone calls, data communication, camera operation, and recording. Processing component 802 may include one or more processors 820 to execute instructions to perform all or part of the steps of the methods described above. Furthermore, processing component 802 may include one or more modules to facilitate interaction between processing component 802 and other components. For example, processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.

[0102] Memory 804 is configured to store various types of data to support the operation of device 800. Examples of this data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, etc. Memory 804 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0103] Power supply component 806 provides power to various components of device 800. Power supply component 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power to device 800.

[0104] Multimedia component 808 includes a screen that provides an output interface between the device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of the touch or swipe action but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 808 includes a front-facing camera and / or a rear-facing camera. When the device 800 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0105] Audio component 810 is configured to output and / or input audio signals. For example, audio component 810 includes a microphone (MIC) configured to receive external audio signals when device 800 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 804 or transmitted via communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.

[0106] I / O interface 812 provides an interface between processing component 802 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0107] Sensor assembly 814 includes one or more sensors for providing status assessments of various aspects of device 800. For example, sensor assembly 814 may detect the on / off state of device 800, the relative positioning of components such as the display and keypad of device 800, changes in the position of device 800 or a component of device 800, the presence or absence of user contact with device 800, the orientation or acceleration / deceleration of device 800, and temperature changes of device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 814 may also include an accelerometer, a gyroscope, a magnetometer, a pressure sensor, or a temperature sensor.

[0108] Communication component 816 is configured to facilitate wired or wireless communication between device 800 and other devices. Device 800 can access wireless networks based on communication standards, such as WiFi, carrier networks (such as 2G, 3G, 4G, or 5G), or combinations thereof. In one exemplary embodiment, communication component 816 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 816 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0109] In an exemplary embodiment, the apparatus 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the methods described above.

[0110] In an exemplary embodiment, a storage medium including instructions is also provided, such as a memory 804 including instructions, which can be executed by a processor 820 of the device 800 to perform the above method. Optionally, the storage medium may be a non-transitory computer-readable storage medium, such as a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device.

[0111] Figure 9This is a block diagram illustrating an apparatus 900 according to an exemplary embodiment. For example, apparatus 900 may be provided as a server. (Refer to...) Figure 9 The apparatus 900 includes a processing component 922, which further includes one or more processors, and memory resources represented by memory 932 for storing instructions, such as application programs, that can be executed by the processing component 922. The application programs stored in memory 932 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 922 is configured to execute instructions to perform the methods described above.

[0112] Device 900 may further include a power supply component 926 configured to perform power management of device 900, a wired or wireless network interface 950 configured to connect device 900 to a network, and an input / output (I / O) interface 958. Device 900 can operate on an operating system stored in memory 932, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, or similar.

[0113] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0114] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A method for online automatic visual inspection of triangular rubber bead joints, characterized in that, include: Lifting assembly, bead rotation assembly, laser sensor system; The lifting assembly is connected to the laser sensor system and is used to move the position of the laser sensor system via a cylinder. The tire bead rotation assembly is driven by a servo motor and is used to rotate the tire bead to be tested mounted thereon. Also includes: The laser sensor system is moved to the detection position by a lifting assembly. The laser sensor system includes a line laser sensor. The lifting assembly is driven by a cylinder. After receiving a PLC signal, the line laser sensor is lowered from the waiting position to the scanning position. After the tire bead contour scanning is completed, the line laser sensor is raised back to the waiting position. The tire bead rotation assembly is driven to rotate the tire bead to be inspected, and the tire bead contour data is collected according to the laser sensor system. The step of driving the tire bead rotation assembly to rotate the tire bead to be inspected specifically includes: setting the diameter of the tire bead to be inspected, determining the rotation angular velocity of the tire bead rotation assembly according to the preset linear velocity and the diameter; rotating the tire bead to be inspected from the collection starting point to the collection ending point according to the rotation angular velocity, wherein the collection starting point and the ending point cover the entire triangular rubber joint. A tire profile map is generated based on the tire bead profile data, and the tire profile map is analyzed to generate tire bead quality inspection results. The bead contour data includes the coordinates of each point on the detection line corresponding to the laser sensor system. The step of generating a tire contour map based on the bead contour data specifically includes: The coordinates of each point on the detection line are stitched together in the order of acquisition to generate the tire profile, wherein the coordinates include the horizontal coordinate x, the vertical coordinate y, and the height coordinate z; The step of analyzing the tire profile to generate the bead quality inspection result specifically includes: The tire profile is divided into multiple first overlap detection areas along the y direction according to the preset thickness of the first overlap detection area. The absolute value of the difference between the maximum value and the minimum value of the y coordinate of the point in the first overlap detection area is equal to the thickness of the first overlap detection area. The average value of the z-value of each coordinate point within the first overlap detection area is obtained as the standard average value corresponding to the first overlap detection area. The first overlap detection area is divided into multiple second overlap detection areas along the x-direction according to the preset thickness of the second overlap detection area, and the average value of the z-value of the coordinate points in each of the second overlap detection areas is obtained. The tire bead quality test result of the first overlap test area is determined based on the difference between the measured average value and the standard average value of the corresponding first overlap test area.

2. The method according to claim 1, characterized in that, The step of analyzing the tire profile to generate the bead quality inspection result specifically includes: Obtain the step point in the starting region of the tire profile where the z-coordinate changes abruptly, and obtain the first edge corresponding to the first ordinate value based on the first ordinate value of the step point. Obtain the step point in the end region of the tire profile where the z-coordinate changes abruptly, and obtain the second edge corresponding to the second ordinate value based on the second ordinate value of the step point; The misalignment value is determined based on the difference in the ordinate values ​​of each point on the first edge and the second edge, thereby determining the tire bead quality inspection result.

3. The method according to claim 1, characterized in that, The step of analyzing the tire profile to generate the bead quality inspection result specifically includes: Obtain the edge region corresponding to the y-coordinate of the edge in the tire profile image; Obtain the z-value difference between adjacent points in the edge region to determine the crack point where the z-value undergoes a step change; The area of ​​the cracked region formed by the cracked points is obtained to determine the tire bead quality test result.

4. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the method as described in any one of claims 1 to 3.

5. A computer-readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method as described in any one of claims 1 to 3.

6. A computer program product comprising a computer program that, when executed by a processor, implements the method according to any one of claims 1-3.

Images