Tire rubber flowability detection method, system and device

Abstract

The invention relates to the technical field of vehicle tires, and provides a method, a system and a device for detecting the flowability of tire rubber, and the method for detecting the flowability of the tire rubber comprises the following steps: acquiring an image of the outer surface of a tire with a mark; identifying a mark in the image, and judging the flowability of the tire rubber according to the type, position and feature of the mark, the type including one or more of an oblique line, a horizontal line and an arc line; the positions comprise one or more of a tire sidewall, a tire shoulder and a tire crown; the marking features include one or more of breakpoints, inflection points, number and distance. According to the invention, the rubber material fluidity of the vehicle tire can be detected in a lossless, comprehensive and low-cost manner.

Description

Technical Field

[0001] The embodiments of this specification relate to the technical field of vehicle tires, and in particular to a method, system, and device for detecting the fluidity of tire rubber. Background Art

[0002] When manufacturing automobile tires, poor rubber fluidity can lead to defects such as sidewall folds, heavy skin, and cracks.

[0003] In the prior art, a flow sticker is used to detect sidewall folds. However, the sidewall rubber flow sticker is expensive and easily sticks to the mold, requiring the mold to be repaired, which increases manufacturing costs.

[0004] In the prior art, sidewall folding problems are identified by cutting the sidewalls, which is very likely to damage tires with qualified rubber fluidity, increase the scrap rate of the tires, and thus increase the manufacturing cost.

[0005] In the prior art, severe heavy leather and large cracks can be identified by the naked eye, but there is currently no identification method for heavy leather and cracks that cannot be identified by the naked eye.

[0006] In summary, the need for non-destructive, comprehensive and low-cost testing of rubber compound fluidity in automotive tires is an important issue that needs to be urgently addressed in the industry. Summary of the Invention

[0007] In view of this, embodiments of this specification provide a tire rubber fluidity detection system. One or more embodiments of this specification also relate to a tire rubber fluidity detection method and device to address technical deficiencies in the prior art.

[0008] According to a first aspect of an embodiment of this specification, a tire rubber material fluidity detection system is provided, comprising: An image acquisition module, used for acquiring an image of the outer surface of the tire with the marking; An image processing module is configured to identify marks in the image captured by the image acquisition module and determine tire rubber fluidity based on the mark type, position, and mark characteristics, wherein the mark type includes one or more of an oblique line, a horizontal line, and an arc; the position includes one or more of a sidewall, a shoulder, and a crown; and the mark characteristics include one or more of a breakpoint, an inflection point, a quantity, and a distance.

[0009] In one possible implementation, the image acquisition module includes a first image acquisition module, and the image processing module includes a first image processing module, the first image acquisition module is used to acquire a first sidewall image with one or more oblique lines inclined relative to the sidewall lateral axis marked on the sidewall; the first image processing module is used to identify the oblique lines from the first sidewall image, extract the breakpoints and / or inflection points of the oblique lines, and determine that the number of the breakpoints is not 0 or / and the inflection points are at critical positions and the tire rubber fluidity is unqualified.

[0010] In one possible implementation, the image acquisition module includes a second image acquisition module, and the image processing module includes a second image processing module, the second image acquisition module is used to acquire a second sidewall image with multiple horizontal lines marked on the sidewall and spaced apart along the lateral axis direction of the sidewall; the second image processing module is used to identify the horizontal lines from the second sidewall image, obtain the number of the horizontal lines, and determine that the tire rubber fluidity is unqualified if the number of horizontal lines is less than a set number; or / and the second image processing module is used to identify the horizontal lines from the second sidewall image, obtain the spacing distance between adjacent horizontal lines, and determine that the tire rubber fluidity is unqualified if the spacing distance exceeds a set spacing distance threshold.

[0011] In one possible implementation, the image acquisition module includes a third image acquisition module, and the image processing module includes a third image processing module. The third image acquisition module is used to acquire a shoulder image with one or two arcs marked on the shoulder, and the arc is formed by a ductile paint on the sidewall and the shoulder lift intersection along the shoulder lift contour mark; the third image processing module is used to identify the arc from the shoulder image, extract the first distance of the arc extending from the intersection to the shoulder lift direction, and determine that the tire rubber fluidity is unqualified if the first distance exceeds a set first distance threshold; or / and the third image processing module is used to identify the arc from the shoulder image, extract the second distance of the arc extending from the intersection to the sidewall direction, and determine that the tire rubber fluidity is unqualified if the second distance exceeds a set second distance threshold.

[0012] In one possible implementation, the image acquisition module includes a fourth image acquisition module, and the image processing module includes a fourth image processing module. The fourth image acquisition module is used to acquire a crown image with one or more arcs marked on the crown, and the arcs are formed by marking the crown grooves with ductile paint; the fourth image processing module is used to identify the arcs from the crown image, extract the third distance of the arcs relative to the top surface of the crown, and determine that the tire rubber fluidity is unqualified if the third distance exceeds a set third distance threshold.

[0013] In one possible implementation, the tire rubber fluidity detection system also includes a decision module for outputting decision data based on the judgment result of the image processing module, and the decision data includes one or more of increasing the fluidity of the sidewall rubber, adjusting the crown thickness, adjusting the cushion rubber edge thickness, adjusting the rubber core edge size, and adjusting the amount of shoulder lift material.

[0014] According to a second aspect of the embodiments of this specification, a method for detecting the fluidity of a tire rubber compound is provided, comprising: capturing an image of the outer surface of the tire with the marking; Identify the marks in the image and determine the fluidity of the tire rubber compound based on the type, position, and mark characteristics of the marks, wherein the type includes one or more of an oblique line, a horizontal line, and an arc; the position includes one or more of a sidewall, a shoulder, and a crown; and the mark characteristics include one or more of a breakpoint, an inflection point, a quantity, and a distance.

[0015] In one possible implementation, the tire rubber material fluidity detection method includes: Acquire a first sidewall image having one or more oblique lines inclined relative to a transverse axis of the sidewall marked on the sidewall; Identifying an oblique line from the first sidewall image, extracting breakpoints and / or inflection points of the oblique line, and determining that the tire rubber material fluidity is unqualified if the number of the breakpoints is not 0 or / and the inflection points are at key positions; or / and Acquire a second sidewall image having a plurality of horizontal lines spaced apart along a transverse axis of the sidewall marked on the sidewall; Identifying horizontal lines from the second sidewall image, obtaining the number of the horizontal lines, and determining that the tire rubber material fluidity is unqualified if the number of horizontal lines is less than a set number; or / and Acquire a second sidewall image having a plurality of horizontal lines spaced apart along a transverse axis of the sidewall marked on the sidewall; Identifying horizontal lines from the second sidewall image, obtaining intervals between adjacent horizontal lines, and determining that the tire rubber material fluidity is unqualified if the intervals exceed a set interval threshold; or / and Capturing a shoulder image with one or two arc lines marked on the shoulder, wherein the arc lines are formed by applying a ductile paint along the shoulder contour at the junction of the sidewall and the shoulder; Extracting a first distance extending from the boundary line to the shoulder-lifting direction of the arc, and determining that the tire rubber material fluidity is unqualified if the first distance exceeds a set first distance threshold; or / and Capturing a shoulder image with one or two arc lines marked on the shoulder, wherein the arc lines are formed by applying a ductile paint along the shoulder contour at the junction of the sidewall and the shoulder; Identifying the arc from the shoulder image, extracting a second distance extending from the arc from the boundary line to the sidewall direction, and determining that the tire rubber material fluidity is unqualified if the second distance exceeds a set second distance threshold; or / and Acquiring an image of a tread crown having one or more arc lines marked on the tread crown, wherein the arc lines are formed by marking along grooves of the tread crown with a ductile paint; The arc is identified from the tread crown image, a third distance of the arc relative to the tread crown top surface is extracted, and it is determined that the tire rubber material fluidity is unqualified if the third distance exceeds a set third distance threshold.

[0016] According to a third aspect of an embodiment of this specification, a tire rubber material fluidity detection device is provided, comprising a memory and a processor, wherein the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the above-mentioned tire rubber material fluidity detection method are implemented.

[0017] In a possible implementation, the tire rubber material fluidity detection device further includes a tire marking device for marking the outer surface of the tire.

[0018] The present invention captures an image of the marked outer surface of a tire and performs image processing for mark recognition and feature extraction. The fluidity of the tire rubber compound is determined based on the type, location, and characteristics of the extracted marks. This method eliminates the need for cutting tire cross sections and prevents mold contamination, achieving non-destructive testing of tire rubber compound fluidity and reducing tire manufacturing costs. Furthermore, the present invention utilizes image processing to detect tire rubber compound fluidity, resulting in high image accuracy. Furthermore, the present invention combines multiple aspects of mark type, mark location, and mark characteristics to detect tire rubber compound fluidity, achieving comprehensive tire testing. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a schematic structural diagram of a vehicle tire provided by one embodiment of this specification; Figure 2 This is a flow chart of a tire rubber material fluidity detection method provided in one embodiment of this specification; Figure 3 This is a flow chart of a tire rubber material fluidity detection method provided in the second embodiment of this specification; Figure 4 This is a flow chart of a tire rubber material fluidity detection method provided in the third embodiment of this specification; Figure 5 This is a schematic block diagram of a tire rubber fluidity detection system provided by one embodiment of this specification; Figure 6This is a schematic block diagram of a tire rubber fluidity detection device provided by one embodiment of this specification; Among them: 1. Crown; 2. Shoulder; 3. Sidewall; 10. Image acquisition module; 11. First image acquisition module; 12. Second image acquisition module; 13. Third image acquisition module; 14. Fourth image acquisition module; 20. Image processing module; 21. First image processing module; 22. Second image processing module; 23. Third image processing module; 24. Fourth image processing module; 30. Decision module; 100. Tire rubber fluidity detection device; 110. Memory; 120. Processor; 130. Bus; 140. Access device; 150. Database; 160. Network; 170. Tire marking device. DETAILED DESCRIPTION

[0020] The following description sets forth many specific details to facilitate a thorough understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the scope of this specification. Therefore, this specification is not limited to the specific implementations disclosed below.

[0021] The terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of this specification. The singular forms "a," "an," and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0022] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0023] In this specification, a tire rubber material fluidity detection method is provided. This specification also relates to a tire rubber material fluidity detection system, an apparatus, a computing device, and a computer-readable storage medium, which are described in detail one by one in the following embodiments.

[0024] See also Figure 1 , Figure 1The following is a schematic diagram of the structure of a vehicle tire provided in one embodiment of this specification. The vehicle tire mainly includes a crown 1, a shoulder 2, and a sidewall 3. In order to ensure the fluidity of the rubber compound used to manufacture the tire, it is urgent to perform non-destructive testing on the crown 1, shoulder 2, and sidewall 3 of the tire.

[0025] Figure 2 FIG. 1 is a flow chart of a tire rubber fluidity detection method provided in one embodiment of this specification. Figure 2 As shown, the tire rubber material fluidity detection method includes: Step S11, collecting one or more lines with respect to the sidewall transverse axis (such as Figure 1 The first sidewall image of the inclined oblique line (the straight line with the arrow in the middle); Step S12, identifying oblique lines from the first sidewall image, and extracting breakpoints and inflection points of the oblique lines; Step S13, determining whether the number of breakpoints is 0; If the number of breakpoints is not 0, executing step S14: determining that the tire rubber compound fluidity is unqualified; If the number of breakpoints is 0, executing step S15: determining whether the inflection point is at a critical position; If the inflection point is at a critical position, step S14 is executed: determining that the tire rubber compound fluidity is unqualified; If the inflection point is not at the critical position, step S16 is executed: determining whether the tire rubber compound has qualified fluidity.

[0026] exist Figure 2 In the application scenario, the angle of the oblique line relative to the transverse axis of the sidewall is 30°-60°, preferably the lowest, the angle is 45°.

[0027] exist Figure 2 In the application scenario, the marking position of the oblique line is from the bead ring edge to the outer end point of the sidewall, avoiding the sidewall joint.

[0028] The tire rubber compound fluidity detection method of the present invention collects a sidewall image with a diagonal line marked on the sidewall, and tests the fluidity of the tire sidewall rubber compound in combination with breakpoints and inflection points. Folds, double skin, and cracks in the sidewall rubber compound will cause the diagonal line to break and shift, thereby generating breakpoints and inflection points. Therefore, the tire rubber compound fluidity detection method of the present invention can detect defects such as folds, double skin, and cracks in the sidewall rubber compound in a non-destructive, accurate, rapid, and low-cost manner.

[0029] In a specific embodiment of the present invention, the tire rubber compound fluidity detection method includes: For each of 100 vehicle tires, three 45° oblique lines were marked on the upper mold and three 45° oblique lines on the lower mold, from the bead opening to the outer end point of the sidewall, avoiding the sidewall joint. The first sidewall image of each tire was captured. identifying an oblique line from the first sidewall image, and extracting breakpoints and inflection points of the oblique line; Determine whether the number of breakpoints is 0, and determine that the tire rubber compound with the number of breakpoints not being 0 has unqualified fluidity. Through this step, 6 tire rubber compounds with unqualified fluidity are screened out; Determine whether the inflection point of the first sidewall image that passed the breakpoint test is at a critical position. Determine if the tire rubber compound flowability is unqualified for the tire with the inflection point at the critical position. Select three tires with inflection points at the crown, four tires with inflection points at the rubber spotting edge, and three tires with inflection points at the rubber core breakpoint. Determine if the three tires are unqualified. The fluidity of the rubber compound of tires whose inflection points are not in critical positions is judged to be qualified. 20 tires with inflection points located at the waterproof line, anti-scratch line, parting line, font and other positions are selected. Since the inflection points are not in critical positions, they are judged to be qualified.

[0030] The tires judged as unqualified were sent to a professional institution for re-inspection using professional machines, and it was found that the detection accuracy of the tire rubber fluidity detection method of the present invention was as high as 99%.

[0031] Figure 3 This is a flow chart of a tire rubber fluidity detection method provided in the second embodiment of this specification. Figure 3 As shown, the tire rubber material fluidity detection method includes: Step S21, collecting a second sidewall image with a plurality of horizontal lines spaced apart along the sidewall transverse axis marked on the sidewall; Step S22, identifying horizontal lines from the second sidewall image, and obtaining the number of the horizontal lines and the intervals between adjacent horizontal lines; Step S23, determining whether the number of horizontal lines is less than a set number; If the number of the horizontal lines is less than the set number, step S24 is executed: determining that the tire rubber material fluidity is unqualified; If the number of the horizontal lines is not less than the set number, executing step S25: determining whether the interval distance between the adjacent horizontal lines exceeds the set interval distance threshold; If the set interval distance threshold is exceeded, step S24 is executed: determining that the tire rubber material fluidity is unqualified; If the distance does not exceed the set threshold, step S26 is executed: determining whether the tire rubber material has qualified fluidity.

[0032] The tire rubber compound fluidity detection method of the present invention collects a sidewall image with multiple horizontal lines marked on the sidewall, and checks the sidewall rubber compound fluidity of the tire in combination with the number of horizontal lines and the spacing distance. Problems such as heavy skin and cracks caused by poor sidewall rubber compound fluidity will cause line swallowing phenomenon, so that the number of horizontal lines recognized from the image is less than the number of horizontal lines marked, and the spacing between adjacent horizontal lines of swallowing lines becomes larger. Therefore, the tire rubber compound fluidity detection method of the present invention can detect defects such as heavy skin and cracks non-destructively, accurately, quickly and at low cost.

[0033] exist Figure 3 In the application scenario, the multiple horizontal lines are arranged at intervals from the tire bead opening to the tire sidewall bending area, avoiding the tire sidewall joint.

[0034] In a specific embodiment of the present invention, the tire rubber compound fluidity detection method includes: For each of 100 automotive tires, mark 15-20 horizontal lines (15 for standard tires and 20 for high-profile tires) from the bead opening to the sidewall flexure area (avoiding the sidewall joint) using a 10mm diameter marker. (The upper and lower molds each have one horizontal line and one oblique line in the same area.) Collect a second sidewall image of each tire after marking. identifying horizontal lines from the second sidewall image, and obtaining the number of the horizontal lines and the interval distances between adjacent horizontal lines; Determine whether the number of horizontal lines is less than the number of horizontal lines marked in the first step, and determine that the tire rubber compound with the number of horizontal lines less than the number of horizontal lines marked in the first step has unqualified fluidity. Through this step, 10 tire rubber compounds with unqualified fluidity are screened out; Determine whether the interval between adjacent horizontal lines exceeds 15mm. If the interval exceeds 15mm, the tire rubber compound fluidity is determined to be unqualified, and 3 tires with unqualified fluidity are screened out. The tires judged as unqualified were sent to a professional institution for re-inspection using professional machines, and it was found that the detection accuracy of the tire rubber fluidity detection method of the present invention was as high as 99.5%.

[0035] Figure 4 This is a flow chart of a tire rubber fluidity detection method provided in the third embodiment of this specification. Figure 4 As shown, the tire rubber material fluidity detection method includes: Step S31, capturing a shoulder image having one or two first arc lines marked on the shoulder, the first arc lines being formed by marking the sidewall and the shoulder boundary along the shoulder contour with a ductile paint; capturing a crown image having one or more second arc lines marked on the crown, the second arc lines being formed by marking the crown groove with a ductile paint; Step S32: Identify a first arc line from the shoulder image, identify a second arc line from the crown image, and extract a first distance of the first arc line from the intersection line to the shoulder lift direction, a second distance of the first arc line from the intersection line to the sidewall direction, and a third distance of the second arc line relative to the crown top surface. Step S33, determining whether the first distance exceeds a set first distance threshold; If the distance exceeds the first threshold, step S34 is executed: determining that the tire rubber material fluidity is unqualified; If the distance does not exceed the first distance threshold, step S35 is executed: determining whether the second distance exceeds the set second distance threshold; If the distance exceeds the second threshold, step S34 is executed: determining that the tire rubber material fluidity is unqualified; If the distance does not exceed the second distance threshold, executing step S36: determining that the third distance exceeds the set third distance threshold; If the distance exceeds the third threshold, step S34 is executed: determining that the tire rubber material fluidity is unqualified; If the distance does not exceed the third distance threshold, step S37 is executed: determining whether the tire rubber material fluidity is qualified.

[0036] The tire rubber fluidity detection method of the present invention collects a shoulder image with a first arc mark on the shoulder and a crown image with a second arc mark on the crown, and inspects the shoulder lift and crown rubber fluidity of the tire in combination with the distance. Too little shoulder material, too thin crown thickness, and too wide crown shoulder width will cause poor rubber fluidity, thereby causing the first distance to exceed the threshold; too much shoulder material will also cause poor rubber fluidity, thereby causing the second distance to exceed the threshold; left and right sidewalls are turned up and the crown thickness is too thick, resulting in poor rubber fluidity, thereby causing the third distance to exceed the threshold. Therefore, the tire rubber fluidity detection method of the present invention can realize the detection of the above-mentioned defects of the shoulder and crown in a non-destructive, accurate, rapid and low-cost manner, ensuring that the shoulder lift and crown can match the mold after molding and extension.

[0037] exist Figure 4 In the application scenario, the ductile coating is white glue.

[0038] In a specific embodiment of the present invention, the tire rubber compound fluidity detection method includes: 100 vehicle tires were marked with white glue at the intersection of the sidewall and the shoulder along the shoulder contour to form two first arcs; a second arc was formed along the middle groove of the crown; and shoulder and crown images of each marked tire were collected. Extracting a first distance of the first arc line extending from the junction line to the shoulder lift direction, a second distance of the first arc line extending from the junction line to the sidewall direction, and a third distance of the second arc line relative to the crown top surface; Determine whether the first distance exceeds 5 mm, and determine that the rubber material fluidity of the tires with the first distance exceeding 5 mm is unqualified. Through this step, 8 tires with unqualified rubber material fluidity are screened out; Determine whether the second distance exceeds 5 mm. If the second distance exceeds 5 mm, determine that the rubber material fluidity of the tire is unqualified. Through this step, three tires are screened out as having unqualified rubber material fluidity. Determine whether the third distance exceeds 15 mm. If the third distance exceeds 15 mm, the rubber compound fluidity of the tire is determined to be unqualified. Through this step, three tires are screened out as having unqualified rubber compound fluidity. The tires judged as unqualified were sent to a professional institution for re-inspection using professional machines, and it was found that the detection accuracy of the tire rubber fluidity detection method of the present invention was as high as 99.5%.

[0039] In each of the above embodiments, the tire rubber material fluidity detection method further includes: Decision data is output based on the judgment results of image processing. For example, when the inflection point at the crown and the edge of the cushion rubber determines that the fluidity of the tire rubber is unqualified, the decision data for controlling the thickness of the crown and the edge of the cushion rubber is output; when the inflection point is located at the end point of the rubber core and determines that the fluidity of the tire rubber is unqualified, the decision data for controlling the edge size of the rubber core is output; when the horizontal line swallowing line and the interval distance exceed the threshold and determine that the fluidity of the tire rubber is unqualified, the decision data for improving the fluidity of the sidewall rubber is output; when the first distance of the first arc exceeds the threshold and determines that the fluidity of the tire rubber is unqualified, the decision data for increasing the shoulder material is output; when the second distance of the first arc exceeds the threshold and determines that the fluidity of the tire rubber is unqualified, the decision data for reducing the shoulder material is output.

[0040] In the above embodiments, the mark can be identified from the image by converting the image into a grayscale image and then performing threshold processing to obtain a binary image, and extracting the mark features by an image feature extraction method, for example: identifying the mark by an edge extraction method, extracting breakpoints by a breakpoint detection method (eight-neighborhood analysis method, EDLines algorithm, etc.), and extracting inflection points and distances by Hough transform; for example, the mark features can be extracted by an image feature extraction method based on deep learning.

[0041] Corresponding to the above method embodiment, this specification also provides an embodiment of a tire rubber fluidity detection system. Figure 5 This is a block diagram of a tire rubber fluidity detection system provided by an embodiment of this specification. Figure 5 As shown, the tire rubber fluidity detection system includes: An image acquisition module 10 is used to acquire an image of the outer surface of the tire with the marking; The image processing module 20 is used to identify the marks in the image captured by the image acquisition module 10 and determine the fluidity of the tire rubber compound based on the type, position and mark characteristics of the marks, wherein the type includes one or more of an oblique line, a horizontal line and an arc; the position includes one or more of a sidewall, a shoulder and a crown; and the mark characteristics include one or more of a breakpoint, an inflection point, a quantity and a distance.

[0042] In one possible implementation, the image acquisition module 10 includes a first image acquisition module 11, and the image processing module 20 includes a first image processing module 21. The first image acquisition module 11 is used to acquire a first sidewall image marked with one or more oblique lines inclined relative to the sidewall transverse axis; the first image processing module 21 is used to identify the oblique lines from the first sidewall image, extract the breakpoints and / or inflection points of the oblique lines, and determine that the number of the breakpoints is not 0 and / or the inflection points are at critical positions and the tire rubber fluidity is unqualified.

[0043] In one possible implementation, the image acquisition module 10 includes a second image acquisition module 12, and the image processing module 20 includes a second image processing module 22, the second image acquisition module 12 is used to acquire a second sidewall image with multiple horizontal lines marked on the sidewall and spaced apart along the lateral axis of the sidewall; the second image processing module 22 is used to identify the horizontal lines from the second sidewall image, obtain the number of the horizontal lines, and determine that the tire rubber fluidity is unqualified if the number of horizontal lines is less than a set number; or / and the second image processing module 22 is used to identify the horizontal lines from the second sidewall image, obtain the spacing distance between adjacent horizontal lines, and determine that the tire rubber fluidity is unqualified if the spacing distance exceeds a set spacing distance threshold.

[0044] In one possible implementation, the image acquisition module 10 includes a third image acquisition module 13, and the image processing module 20 includes a third image processing module 23. The third image acquisition module 13 is used to acquire a shoulder image with one or two arcs marked on the shoulder, and the arc is formed by a ductile paint on the sidewall and the shoulder lift intersection along the shoulder lift contour mark; the third image processing module 23 is used to identify the arc from the shoulder image, extract the first distance of the arc extending from the intersection to the shoulder lift direction, and determine that the tire rubber fluidity is unqualified if the first distance exceeds a set first distance threshold; or / and the third image processing module is used to identify the arc from the shoulder image, extract the second distance of the arc extending from the intersection to the sidewall direction, and determine that the tire rubber fluidity is unqualified if the second distance exceeds a set second distance threshold.

[0045] In one possible implementation, the image acquisition module 10 includes a fourth image acquisition module 14, and the image processing module 20 includes a fourth image processing module 24. The fourth image acquisition module 14 is used to acquire a crown image with one or more arcs marked on the crown, and the arcs are formed by marking the crown grooves with ductile paint; the fourth image processing module 24 is used to identify the arcs from the crown image, extract the third distance of the arcs relative to the top surface of the crown, and determine that the tire rubber fluidity is unqualified if the third distance exceeds a set third distance threshold.

[0046] In each of the above embodiments, the tire rubber fluidity detection system also includes a decision module 30, which is used to output decision data based on the judgment result of the image processing module 20, and the decision data includes one or more of increasing the fluidity of the sidewall rubber, adjusting the crown thickness, adjusting the cushion rubber edge thickness, adjusting the rubber core edge size, and adjusting the amount of shoulder lift material.

[0047] The tire rubber material fluidity detection system of the present invention uses an image acquisition module to capture an image of the marked outer surface of a tire. An image processing module then performs image processing on the image to identify and extract features from the mark. The tire rubber material fluidity is determined based on the type, location, and characteristics of the extracted marks. This eliminates the need to cut a tire cross section and prevents mold contamination, enabling non-destructive testing of tire rubber material fluidity and reducing tire manufacturing costs. Furthermore, the tire rubber material fluidity detection system of the present invention utilizes image processing to detect tire material fluidity, resulting in highly accurate images. Furthermore, the system combines multiple aspects of mark type, mark location, and mark characteristics to detect tire rubber material fluidity, achieving comprehensive tire testing.

[0048] It should be noted that the tire rubber stock fluidity detection system described above can be either hardware or software. When implemented as hardware, it can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or as a single server or terminal device. When implemented as software, the tire rubber stock fluidity detection system can be installed in the hardware devices listed above. It can be implemented as multiple software programs or software modules, for example, to provide distributed services, or as a single software program or software module. This is not specifically limited here.

[0049] Figure 6This is a block diagram of a tire rubber material fluidity testing device according to one embodiment of this specification. The components of the tire rubber material fluidity testing device 100 include, but are not limited to, a memory 110 and a processor 120. Processor 120 and memory 110 are connected via a bus 130. The memory 110 is configured to store computer-executable instructions, and the processor 120 is configured to execute the computer-executable instructions. When executed by processor 120, the computer-executable instructions implement the steps of the tire rubber material fluidity testing method described above.

[0050] The computer instructions include computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium may include any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium.

[0051] The tire compound fluidity testing apparatus 100 also includes an access device 140 that enables the computing device to communicate via one or more networks 160. Examples of these networks 160 include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 140 may include one or more of any type of wired or wireless network interface (e.g., a network interface card (NIC)), such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a Worldwide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, or a near field communication (NFC) interface.

[0052] The tire rubber material fluidity detection device 100 further includes a database 150 for storing data.

[0053] In one embodiment of the present specification, the above components of the tire rubber fluidity detection device 100 and Figure 6 Other components not shown in the figure may also be connected to each other, for example, via bus 130. It should be understood that Figure 6 The structural block diagram of the tire rubber material fluidity detection device 100 is only for illustrative purposes and is not intended to limit the scope of this specification. Those skilled in the art may add or replace other components as needed.

[0054] In a possible implementation, the tire rubber fluidity detection device 100 further includes a tire marking device 170 for marking the outer surface of the tire.

[0055] The tire marking device 170 may be any device capable of automatically controlling line drawing and / or rubber coating.

[0056] In order to improve the accuracy of tire rubber fluidity detection, in one possible implementation method, the strength of the tire marked by the tire marking device, as well as the type, position and marking characteristics of the mark are used as input, and the accuracy of the tire rubber fluidity detection is used as output to construct a deep learning model, and the deep learning model is trained using training data.

[0057] The above is a schematic diagram of a tire rubber material fluidity detection device according to this embodiment. It should be noted that the technical solution of this tire rubber material fluidity detection device is based on the same concept as the technical solution of the aforementioned tire rubber material fluidity detection method and system. For details not described in detail in the technical solution of the tire rubber material fluidity detection device, please refer to the description of the technical solution of the aforementioned tire rubber material fluidity detection method and system.

[0058] The tire rubber compound fluidity detection method, system, and device disclosed herein are simple, easily scalable, and comprehensive in detecting tire rubber compound fluidity, enabling early identification of problems such as sidewall folds, double tires, and cracks, thereby reducing tire manufacturing costs. This method can proactively identify and prevent folds and double tires during the product development phase, reducing manufacturing costs. The system can be widely applied to spot checks of tires with abnormal sidewalls, first-batch tires, and normal tires. The markings on qualified vehicle tires can be removed without cutting the tires, enabling non-destructive testing of vehicle tires.

[0059] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0060] It should be noted that for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0061] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0062] The preferred embodiments disclosed above are intended only to help illustrate this specification. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made based on the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that those skilled in the art can better understand and utilize this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A tire rubber fluidity detection system, characterized in that: include: An image acquisition module, used for acquiring an image of the outer surface of the tire with the marking; An image processing module is configured to identify marks in the image captured by the image acquisition module and determine tire rubber fluidity based on the mark type, position, and mark characteristics, wherein the mark type includes one or more of an oblique line, a horizontal line, and an arc; the position includes one or more of a sidewall, a shoulder, and a crown; and the mark characteristics include one or more of a breakpoint, an inflection point, a quantity, and a distance.

2. The tire rubber fluidity detection system according to claim 1, characterized in that: The image acquisition module includes a first image acquisition module, and the image processing module includes a first image processing module; The first image acquisition module is used to acquire a first sidewall image having one or more oblique lines inclined relative to a transverse axis of the sidewall marked on the sidewall; The first image processing module is used to identify oblique lines from the first sidewall image, extract breakpoints and / or inflection points of the oblique lines, and determine that the tire rubber fluidity is unqualified if the number of breakpoints is not 0 or / and the inflection points are at key positions.

3. The tire rubber compound fluidity detection system according to claim 1, characterized in that: The image acquisition module includes a second image acquisition module, and the image processing module includes a second image processing module; The second image acquisition module is used to acquire a second sidewall image with a plurality of horizontal lines spaced apart along the transverse axis of the sidewall marked on the sidewall; The second image processing module is used to identify horizontal lines from the second sidewall image, obtain the number of the horizontal lines, and determine that the tire rubber fluidity is unqualified if the number of horizontal lines is less than a set number; or / and the second image processing module is used to identify horizontal lines from the second sidewall image, obtain the spacing distance between adjacent horizontal lines, and determine that the tire rubber fluidity is unqualified if the spacing distance exceeds a set spacing distance threshold.

4. The tire rubber fluidity detection system according to claim 1, characterized in that: The image acquisition module includes a third image acquisition module, and the image processing module includes a third image processing module; The third image acquisition module is used to capture a shoulder image with one or two arcs marked on the shoulder, wherein the arcs are formed by applying a ductile paint along the shoulder contour mark at the sidewall and the shoulder boundary line; The third image processing module is used to identify the arc from the shoulder image, extract the first distance of the arc extending from the boundary line to the shoulder lifting direction, and determine that the tire rubber fluidity is unqualified if the first distance exceeds the set first distance threshold; or / and the third image processing module is used to identify the arc from the shoulder image, extract the second distance of the arc extending from the boundary line to the sidewall direction, and determine that the tire rubber fluidity is unqualified if the second distance exceeds the set second distance threshold.

5. The tire rubber compound fluidity detection system according to claim 1, characterized in that: The image acquisition module includes a fourth image acquisition module, and the image processing module includes a fourth image processing module; The fourth image acquisition module is used to acquire an image of a tread crown having one or more arcs marked on the tread crown, wherein the arcs are formed by marking along the tread crown grooves with a ductile paint; The fourth image processing module is used to identify the arc from the crown image, extract the third distance of the arc relative to the crown top surface, and determine that the tire rubber fluidity is unqualified if the third distance exceeds a set third distance threshold.

6. The tire rubber compound fluidity detection system according to claim 1, characterized in that: It also includes a decision module for outputting decision data based on the judgment result of the image processing module, and the decision data includes one or more of increasing the fluidity of the sidewall rubber, adjusting the crown thickness, adjusting the cushion rubber edge thickness, adjusting the rubber core edge size and adjusting the shoulder lift material amount.

7. A tire rubber fluidity detection method, characterized in that: include: capturing an image of the outer surface of the tire with the marking; Identify the marks in the image and determine the fluidity of the tire rubber compound based on the type, position, and mark characteristics of the marks, wherein the type includes one or more of an oblique line, a horizontal line, and an arc; the position includes one or more of a sidewall, a shoulder, and a crown; and the mark characteristics include one or more of a breakpoint, an inflection point, a quantity, and a distance.

8. The tire rubber compound fluidity detection method according to claim 7, characterized in that: include: Acquire a first sidewall image having one or more oblique lines inclined relative to a transverse axis of the sidewall marked on the sidewall; Identify oblique lines from the first sidewall image, extract the breakpoints and / or inflection points of the oblique lines, and determine that the number of the breakpoints is not 0 or / and the inflection points are at critical positions, and the tire rubber fluidity is unqualified; or / and collect a second sidewall image with a plurality of horizontal lines spaced apart along the lateral axis of the sidewall marked on the sidewall; identify the horizontal lines from the second sidewall image, obtain the number of the horizontal lines, and determine that the tire rubber fluidity is unqualified if the number of horizontal lines is less than a set number; or / and collect a second sidewall image with a plurality of horizontal lines spaced apart along the lateral axis of the sidewall marked on the sidewall; identify the horizontal lines from the second sidewall image, obtain the spacing distance between adjacent horizontal lines, and determine that the tire rubber fluidity is unqualified if the spacing distance exceeds a set spacing distance threshold; or / and collect a shoulder image with one or two arc lines marked on the shoulder, and the arc lines are coated on the sidewall with ductile paint and the shoulder lift boundary line along the shoulder lift contour mark; extracting a first distance of the arc extending from the boundary line to the shoulder lift direction, and determining that the first distance exceeds the set first distance threshold and the tire rubber material fluidity is unqualified; or / and collecting a shoulder image with one or two arcs marked on the shoulder, the arcs are formed by ductile paint on the sidewall and the shoulder lift boundary line along the shoulder lift contour mark; identifying the arcs from the shoulder image, extracting a second distance of the arc extending from the boundary line to the sidewall direction, and determining that the second distance exceeds the set second distance threshold and the tire rubber material fluidity is unqualified; or / and collecting a crown image with one or more arcs marked on the crown, the arcs are formed by ductile paint along the crown groove mark; identifying the arcs from the crown image, extracting a third distance of the arc relative to the crown top surface, and determining that the third distance exceeds the set third distance threshold and the tire rubber material fluidity is unqualified.

9. A tire rubber fluidity detection device, characterized in that: The invention comprises a memory and a processor, wherein the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the tire rubber fluidity detection method according to any one of claims 7 and 8 are realized.

10. The tire rubber compound fluidity detection device according to claim 9, characterized in that: Also included is a tire marking device for marking the outer surface of a tire.

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