Wheel assembling method and device and electronic equipment

Abstract

The invention provides a wheel assembling method and device and electronic equipment. In the embodiment of the invention, different color features are configured for tires of different models, and then the color features of the tires in to-be-assembled wheels are compared with the color features of the tires corresponding to the configured models; therefore, whether the to-be-assembled wheel is matched with the configuration requirement of the vehicle or not can be quickly and accurately identified, and the assembly mistake proofing effect is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle intelligent control, and particularly relates to a wheel assembly method, device and electronic device. Background Art

[0002] With the diversification of customer needs, there are also diversifications in the suppliers and configurations of tires and wheels for the same vehicle model. Moreover, to ensure the overall vehicle performance and traceability, the vehicle requires that the configurations and suppliers of the four tires and wheels be consistent.

[0003] In the prior art, the assembly and sorting of tire assemblies are generally identified by tire tread patterns. Due to the difficulty in identifying tire tread patterns, the above method cannot effectively identify incorrect wheel assemblies, which is likely to cause inconvenience to production. Summary of the Invention

[0004] Embodiments of the present invention provide a wheel assembly error prevention method, device and electronic device to solve the problem that the prior art cannot effectively identify incorrect tire assemblies.

[0005] In a first aspect, embodiments of the present invention provide a wheel assembly method, and the method includes:

[0006] Obtain the target tire color feature corresponding to the vehicle to be assembled, and the target tire color features of different tire models are different;

[0007] Obtain the tire color feature of the wheel to be assembled;

[0008] When the target tire color feature is consistent with the tire color feature of the wheel to be assembled, determine that the wheel to be assembled matches the vehicle to be assembled.

[0009] Optionally, after determining that the tire of the wheel to be assembled matches the vehicle to be assembled, the method further includes:

[0010] Obtain the target hub color feature corresponding to the vehicle to be assembled, and the target hub color features of different tire models are different;

[0011] Obtain the hub color feature of the wheel to be assembled;

[0012] When the target hub color feature is consistent with the hub color feature of the wheel to be assembled, the wheel to be assembled enters the next process.

[0013] Optionally, in the method, the tire color feature includes at least one of the tread line color feature marked on the tread surface and the tire imbalance point color feature; the tread line colors of different tire models are different, and the tire imbalance point colors of different tire models are different;

[0014] The hub color feature includes the color feature of the hub imbalance point, and the colors of the hub imbalance points of different models of hubs are different.

[0015] Optionally, in the method, obtaining the tire color feature of the wheel to be assembled includes:

[0016] Obtaining a tire image of the wheel;

[0017] According to the tire image, obtaining the tire color feature of the wheel to be assembled;

[0018] Obtaining the hub color feature of the wheel to be assembled includes:

[0019] Obtaining a hub image of the wheel;

[0020] According to the hub image, obtaining the hub color feature of the wheel to be assembled.

[0021] Optionally, in the method, according to the tire image, obtaining the tire color feature of the wheel to be assembled includes:

[0022] Obtaining a first sub-image of a first region of interest in the tire image; the first region of interest includes at least one of a tread identification tread line region and a tire imbalance point region;

[0023] Performing binarization processing on the first sub-image to obtain first pixel data of the first region of interest;

[0024] According to the first pixel data, determining the tire color feature of the wheel to be assembled.

[0025] Optionally, in the method, before performing binarization processing on the first sub-image, the method further includes:

[0026] Performing magnification processing on the first sub-image.

[0027] Optionally, the method further includes:

[0028] When the target tire color feature is inconsistent with the tire color feature of the wheel to be assembled, or when the target hub color feature is inconsistent with the hub color feature of the wheel to be assembled, displaying an alarm message.

[0029] Optionally, the method further includes:

[0030] In the case of receiving a verification signal for the alarm message, the wheel to be assembled enters the next process.

[0031] Optionally, in the method, obtaining the target tire color feature corresponding to the vehicle to be assembled includes:

[0032] Obtain the identification information of the vehicle to be assembled;

[0033] Determine the configured tire model according to the identification information;

[0034] Determine the target tire color feature according to the tire model.

[0035] In a second aspect, an embodiment of the present invention provides a wheel assembly device, and the device includes:

[0036] A first feature acquisition module, configured to acquire the target tire color feature corresponding to the vehicle to be assembled, and the target tire color features of different models of tires are different;

[0037] A second feature acquisition module, configured to acquire the tire color feature of the wheel to be assembled;

[0038] A first determination module, configured to determine that the wheel to be assembled matches the vehicle to be assembled when the target tire color feature is consistent with the tire color feature of the wheel to be assembled.

[0039] Optionally, the device further includes:

[0040] A camera assembly, configured to collect a tire image of the wheel;

[0041] The second feature acquisition module is configured to acquire the tire color feature of the tire in the wheel to be assembled according to the tire image.

[0042] Optionally, the device further includes:

[0043] A tire centering roller path, configured to transport the wheel and position the wheel for the camera assembly to collect a tire image of the wheel.

[0044] Optionally, the device further includes:

[0045] A shielding assembly, disposed around the tire centering roller path and accommodating the camera assembly, for shielding external light.

[0046] In a third aspect, an embodiment of the present invention provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus; wherein, the processor, the communication interface, and the memory complete communication with each other through the communication bus;

[0047] The memory is used to store a computer program;

[0048] The processor, when executing the program stored on the memory, implements the steps in the wheel assembly method described in the first aspect above.

[0049] Fourthly, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps in the wheel assembly method described in the first aspect above are implemented.

[0050] In view of the prior art, the present invention has the following advantages:

[0051] In an embodiment of the present invention, a target tire color feature corresponding to a vehicle to be assembled is obtained, wherein the tire color features of different tire models are different; the tire color feature of the wheel to be assembled is obtained; when the target tire color feature is consistent with the tire color feature of the wheel to be assembled, it is determined that the tire of the wheel to be assembled matches the vehicle to be assembled. In an embodiment of the present invention, by configuring different color features for different tire models, and then comparing the tire color feature in the wheel to be assembled with the tire color feature corresponding to the configured model, it is possible to quickly and accurately identify whether the tire of the wheel to be assembled matches the configuration requirements of the vehicle, achieving the effect of preventing assembly errors.

[0052] The above description is only an overview of the technical solution of the present invention. In order to be able to understand the technical means of the present invention more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present invention more obvious and understandable, the specific embodiments of the present invention are given below. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments.

[0054] Figure 1 It is a schematic flow chart of a wheel assembly method provided by an embodiment of the present invention;

[0055] Figure 2 It is a system structure diagram for implementing the wheel assembly method provided by an embodiment of the present invention;

[0056] Figure 3 It is an execution principle diagram of the wheel assembly method provided by an embodiment of the present invention;

[0057] Figure 4 It is an execution principle diagram for identifying the assembly situation of the tire and wheel hub in an embodiment of the present invention;

[0058] Figure 5 It is a schematic diagram of a wheel assembly device provided by an embodiment of the present invention;

[0059] Figure 6 It is a block diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0060] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can also be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present invention can be more thoroughly understood and the scope of the present invention can be completely conveyed to those skilled in the art.

[0061] Figure 1 It is a schematic diagram of a wheel assembly method provided by an embodiment of the present invention, including steps 101 to 103.

[0062] The anti-mistake method for wheel assembly provided by the embodiment of the present invention is applied to the sorting and online assembly node of wheels (tire assemblies), that is, at the point before the tire assembly is assembled to the vehicle. It can identify whether the tire configuration is correct before loading the vehicle, so as to replace the sorted tires in time when they do not match the configuration.

[0063] Specifically, before the above-mentioned wheels enter the sorting and online assembly node, the tire and the wheel hub need to be assembled into a wheel in sequence, the wheels are sorted and put online, manually inspected, and the tire pressure on the sorting line is identified; among them, the assembly of the tire and the wheel hub specifically needs to go through the online of the tire and the wheel hub, installation of the valve stem and the tire pressure module, measurement of the wheel hub size, tire lubrication, stacking of the tire and the wheel hub, automatic tire mounting, automatic alignment, automatic inflation, automatic optimization, initial inspection of dynamic balance, balance correction, re-inspection of dynamic balance, and stacking of finished products; the sorting and online of the wheels means sorting and conveying the wheels; the manual inspection is the detection of the tire appearance, that is, the detection of the tire configuration.

[0064] Step 101: Obtain the target tire color feature corresponding to the vehicle to be assembled. The target tire color features of different models of tires are different.

[0065] In this step, the vehicle to be assembled refers to the vehicle that is sent to the assembly position and is ready to install the wheels; the target tire color feature is the tire color feature corresponding to the tire model configured for the vehicle to be assembled, and the configured tire model refers to the tire model that needs to be assembled for the vehicle to be assembled according to the preset configuration; the above-mentioned tire model includes the tire type and the tire manufacturer.

[0066] In this step, the tire color feature is a color feature that can distinguish different tire models; different color features are pre-identified for different models of tires, that is, a first correspondence relationship is established between the tire model and the tire color feature, so that the corresponding tire type and tire manufacturer can be known through the tire color feature and the above-mentioned first correspondence relationship.

[0067] It should be noted that in the embodiments of the present invention, the data acquisition process and related data involved are all carried out on the premise of complying with the corresponding data protection regulations and policies of the country where the location is located and obtaining the authorization given by the owner of the corresponding device.

[0068] Step 102: Obtain the tire color feature of the wheel to be assembled.

[0069] In this step, the wheel to be assembled refers to the wheel on the production line in the current tire assembly sequence; the color feature of the tire in the wheel is obtained by means of scanning, photographing, etc.

[0070] Step 103: When the target tire color feature is consistent with the tire color feature of the wheel to be assembled, it is determined that the tire of the wheel to be assembled matches the vehicle to be assembled.

[0071] In this step, the target tire color feature is compared with the tire color feature of the wheel to be assembled, and it can be identified whether the target tire color feature is consistent with the tire color feature of the wheel to be assembled. When they are consistent, it indicates that the tire meets the wheel configuration requirements, and thus it is determined that the tire in the wheel to be assembled matches the above vehicle.

[0072] In the embodiment of the present invention, different color features are pre-configured for different models of tires. Subsequently, by comparing the tire color feature in the wheel to be assembled with the tire color feature corresponding to the configured model, it is possible to quickly and accurately identify whether the tire of the wheel to be assembled matches the vehicle configuration requirements, achieving the effect of preventing assembly errors; therefore, the embodiment of the present invention can effectively solve the problem that the prior art cannot effectively identify tire assembly errors.

[0073] Optionally, in an implementation manner, the above tire color feature includes at least one of the tread line color feature marked on the tread and the tire imbalance point color feature; the tread line colors of different models of tires and the tire imbalance point colors of different models of tires are different.

[0074] It can be understood that when the above tire color feature is the tread line color feature marked on the tread, the above target tire color feature and the tire color feature of the wheel to be assembled are both the features corresponding to the tread line color; when the above tire color feature is the tire imbalance point color feature, the above target tire color feature and the tire color feature of the wheel to be assembled are both the features corresponding to the tire imbalance point color; when the above tire color feature includes the tread line color feature marked on the tread and the tire imbalance point color feature, the above target tire color feature and the tire color feature of the wheel to be assembled both include the features corresponding to the tread line color marked on the tread and the features corresponding to the tire imbalance point color.

[0075] In this embodiment, during the tire production stage, tread lines of colors that can visually distinguish different tire models are marked on the tread of the tire, and the colors of these tread lines are used as the above-mentioned tire color features. Alternatively, color markings are made using the original imbalance points of the tire, and different balance point colors are set for different tire models, so that different tire models can be specifically distinguished by the above-mentioned tread line colors or tire imbalance point colors. Among them, the above-mentioned tread lines can be solid lines or dashed lines, and one or more lines can be set.

[0076] Exemplarily, white tread lines can be marked for type-a tires produced by enterprise A, red tread lines can be marked for type-b tires produced by enterprise A, and blue tread lines can be marked for type-b tires produced by enterprise B. Then, by identifying that the color of the tread line is red, it can be known that the current tire belongs to enterprise A and is of type b.

[0077] Optionally, in one embodiment, step 101 includes steps 111 to 113:

[0078] Step 111: Obtain the identification information of the vehicle to be assembled.

[0079] In this step, the above-mentioned identification information is information that can specifically identify the vehicle, such as the VIN code of the vehicle. In practical applications, the above-mentioned identification information of the vehicle to be assembled can be obtained through the Manufacturing Execution System (MES) of the manufacturing enterprise.

[0080] Step 112: Determine the configured tire model according to the identification information.

[0081] In this step, a third correspondence relationship is pre-established between the identification information of the vehicle and the configuration information. The configuration information includes at least the tire model. Therefore, after obtaining the above-mentioned identification information, the configured tire model can be quickly determined.

[0082] Step 113: Determine the target tire color feature according to the tire model.

[0083] In this step, because different color features are pre-marked for different tire models, the required target tire color feature can be determined based on the above-mentioned tire model.

[0084] In this embodiment, by using the identification information of the vehicle, the configured tire model can be accurately obtained, and then the required tire color feature can be quickly known.

[0085] In practical applications, the MES system can sort the vehicles to be assembled online in advance and display the configuration information of the corresponding wheels on the interface. Among them, the vehicle configuration information is bound to the vehicle VIN number, and then the vehicle VIN number queue information is transmitted to the tire sorting line controller. After receiving the corresponding VIN number, the controller performs configuration recognition, retrieves the tire assembly model information maintained in advance in the system, so as to obtain the reference model (i.e., the required configuration model) information of each tire of the vehicle, and updates and displays it on the sorting dynamic dashboard to guide the staff in sorting.

[0086] Optionally, in one implementation manner, step 102 above includes steps 121 to 122:

[0087] Step 121, obtain the tire image of the wheel.

[0088] In this step, a camera or the like is used to capture the tire image of the wheel to be assembled.

[0089] Optionally, when capturing the tire image of the above wheel, it is necessary to use components such as a darkroom to shield the interference of external light, and use a preset lighting device to provide light to improve the accuracy of subsequent color feature extraction.

[0090] Step 122, obtain the tire color feature of the wheel to be assembled according to the tire image.

[0091] In this step, color feature extraction is performed through the above tire image to obtain the color feature of the tire in the wheel to be assembled.

[0092] In practical applications, since the wheel is placed flat on the assembly line before assembly, the above tire image can be obtained by taking a side view of the wheel with a camera, and the above hub image can be obtained by taking a front view of the wheel with a camera.

[0093] In practical applications, a tire centering roller path can be additionally set on the assembly line to convey the wheel to be assembled to the camera shooting area to achieve a positioning effect for accurate shooting.

[0094] In the embodiment of the present invention, by obtaining the image of the wheel to be assembled, the tire color feature extraction and the hub color feature extraction can be quickly performed, and then it can be judged whether there is an assembly error by comparing the configuration information.

[0095] Optionally, in one implementation manner, step 122 above includes steps 1221 to 1223:

[0096] Step 1221, obtain the first sub-image of the first region of interest in the tire image; the first region of interest includes at least one of the tread identification tread line region and the tire imbalance point region.

[0097] In this step, in the captured tire image, determine the regions where at least one of the tread identification tread lines and tire imbalance points, as well as the hub imbalance points are located, as the above-mentioned first region of interest, and then perform image extraction to obtain the above-mentioned first sub-image.

[0098] Step 1222: Binarize the first sub-image to obtain the first pixel data of the first region of interest.

[0099] In this step, assign gray values of 0 and 255 to the tread line region and other regions in the first sub-image corresponding to the first region of interest, so that the entire image presents an obvious black-and-white effect, that is, the first pixel data of the first region of interest can be obtained.

[0100] Optionally, before performing the binarization process, perform magnification recognition processing on the above-mentioned tire image to more accurately obtain the first pixel data of the first region of interest and avoid recognition failure caused by excessive information redundancy.

[0101] Step 1223: Determine the tire color characteristics of the wheel to be assembled according to the first pixel data.

[0102] In this step, use the above-mentioned first pixel data to count the pixel points in the binarized tread line region and / or count the pixel points in the tire imbalance point region to determine the tire color characteristics of the wheel to be assembled.

[0103] In this embodiment, the above-mentioned target tire color characteristic is pixel data, and subsequently, the pixel data of the required configured tire is compared with the pixel data of the tire to be assembled to judge the assembly situation of the tire.

[0104] In this embodiment, after obtaining the image of the wheel, obtain the first sub-image corresponding to the first region of interest and perform binarization processing, obtain the corresponding pixel data as the color characteristic, and then quickly judge the assembly situation of the tire by comparing the pixel data.

[0105] Optionally, in the above step 103, compare the similarity between the target tire color characteristic and the tire color characteristic of the wheel to be assembled. If the similarity reaches the first similarity threshold, it is judged that the two match, indicating that the tire to be assembled is consistent with the configured tire model; if the similarity does not reach the first similarity threshold, it is judged that the two do not match, indicating that the tire to be assembled is not consistent with the configured tire model. For example, compare the pixel data included in the target tire color characteristic and the tire color characteristic of the wheel to be assembled, and use the pixel quantity deviation to determine the above similarity. The greater the pixel data deviation, the smaller the similarity. Therefore, the matching situation between the tire and the configuration can be determined through their pixel data.

[0106] In this step, if the color features of the target tire match those of the tire of the wheel to be assembled, it indicates that the tire model in the wheel to be assembled is consistent with the configuration, so it can be determined that the tire matches the vehicle.

[0107] Optionally, in one implementation, the method provided by the embodiments of the present invention, after the above step 103, further includes steps 104 to 106:

[0108] Step 104: Obtain the target hub color features corresponding to the vehicle to be assembled. The target hub color features of different tire models are different.

[0109] In this step, the target hub color features are the hub color features corresponding to the hub model configured for the vehicle to be assembled; the configured hub model refers to the hub model that needs to be assembled for the vehicle to be assembled according to the preset configuration; the above hub model includes the hub type and the hub manufacturer.

[0110] In this step, the hub color features are the color features that can distinguish different hub models; different color features are pre-identified for different signal hubs, that is, a second correspondence between the hub model and the hub color features is established, so that the corresponding hub specifications and hub manufacturers can be known through the hub color features and the above second correspondence.

[0111] Step 105: Obtain the hub color features of the wheel to be assembled.

[0112] In this step, the wheel to be assembled refers to the wheel that is sorted and put on the line in the current tire assembly; the color features of the hub in the wheel are obtained by means of scanning, photographing, etc.

[0113] Step 106: When the target hub color features are the same as the hub color features of the wheel to be assembled, the wheel to be assembled enters the next process.

[0114] In this step, by comparing the target hub color features with the hub color features of the wheel to be assembled, it can be identified whether the target hub color features are the same as the hub color features of the wheel to be assembled. When they are the same, it indicates that the hub meets the wheel configuration requirements, so it is determined that the hub in the wheel to be assembled matches the above vehicle.

[0115] In the above implementation, by pre-configuring different color features for different tire and hub models, and then comparing the tire color features and hub color features in the wheel to be assembled with the tire color features and hub color features corresponding to the configured models, it is possible to quickly and accurately identify whether the wheel to be assembled meets the vehicle configuration requirements, achieving the effect of preventing assembly errors; therefore, the embodiments of the present invention can effectively solve the problem that the prior art cannot effectively identify tire and hub assembly errors.

[0116] Optionally, in one embodiment, the above-mentioned wheel hub color feature includes the color feature of the wheel hub imbalance point, and the colors of the wheel hub imbalance points of different models of wheel hubs are different.

[0117] In this embodiment, the original imbalance points of the wheel hub are used for color marking, and different balance point colors are set for different models of wheel hubs during the wheel hub production stage, so that different models of tires can be specifically distinguished by the above-mentioned wheel hub imbalance point colors.

[0118] Exemplarily, the dynamic imbalance points of the c-class wheel hubs produced by Company C can be marked yellow, the dynamic imbalance points of the c-class wheel hubs produced by Company D can be marked yellow, and the green tire cords can be marked for the d-class tires produced by Company D. Then, by identifying that the color of the dynamic imbalance point of the wheel hub is yellow, it can be known that the current wheel hub belongs to Company D and the type is c-class.

[0119] Optionally, in one embodiment, the above-mentioned step 104 includes step 141 to step 142:

[0120] Step 141: Determine the configured wheel hub model according to the identification information.

[0121] In this step, because a third correspondence relationship between the identification information of the vehicle and the configuration information has been established in advance, and the configuration information at least includes the tire model and the wheel hub model, after obtaining the above-mentioned identification information, the configured tire model and wheel hub model can be quickly determined.

[0122] Step 142: Determine the target wheel hub color feature according to the wheel hub model.

[0123] In this step, because different color features have been marked for different signal wheel hubs in advance, the required target wheel hub color feature can be determined based on the above-mentioned wheel hub model.

[0124] In this embodiment, by using the identification information of the vehicle, the configured wheel hub model can be accurately obtained, and then the required wheel hub color feature can be quickly known.

[0125] Optionally, in one embodiment, the above-mentioned step 105 includes step 151 to step 152:

[0126] Step 151: Obtain the wheel hub image of the wheel.

[0127] In this step, a camera or the like is used to capture the wheel hub image of the wheel to be assembled.

[0128] Optionally, when capturing the above-mentioned wheel hub image, components such as a darkroom are needed to shield the interference of external light, and a preset lighting device is used to provide light to improve the accuracy of subsequent color feature extraction.

[0129] Step 152. Obtain the hub color feature of the wheel to be assembled according to the hub image.

[0130] In this step, the color feature extraction is performed through the above hub image to obtain the color feature of the hub in the wheel to be assembled.

[0131] Optionally, in one implementation, the above step 152 includes steps 1521 to 1523:

[0132] Step 1521. Obtain the second sub-image of the second region of interest in the hub image; the second region of interest includes the hub imbalance point region.

[0133] In this step, the region where the hub imbalance point is located in the captured hub image is determined as the above second region of interest, and then image extraction is performed to obtain the above second sub-image.

[0134] Step 1522. Perform binarization processing on the second sub-image to obtain the second pixel data of the second region of interest.

[0135] In this step, the imbalance point region and other regions in the second sub-image corresponding to the second region of interest are assigned gray values of 0 and 255, so that the whole image shows an obvious black and white effect, that is, the second pixel data of the above second region of interest can be obtained.

[0136] Optionally, before performing binarization processing, perform enlarged recognition processing on the above second sub-image to more accurately obtain the second pixel data of the second region of interest and avoid recognition failure caused by excessive information redundancy.

[0137] Step 1523. Determine the hub color feature of the wheel to be assembled according to the second pixel data.

[0138] In this step, the above-mentioned second pixel data is used to count the pixel points in the binarized hub imbalance point region to determine the above hub color feature.

[0139] In this implementation, the above target hub color feature is pixel data, and the assembly situation of the hub is judged by comparing the pixel data of the required configured hub with the pixel data of the hub to be assembled.

[0140] In this implementation, after obtaining the hub image of the wheel, obtain the second sub-image corresponding to the second region of interest and perform binarization processing, obtain the corresponding second pixel data and use it as the hub color feature, and then quickly judge the assembly situation of the hub by comparing pixel data.

[0141] Optionally, in one implementation, in step 106 above, the target wheel hub color feature is compared with the wheel hub color feature of the wheel to be assembled for similarity; if the similarity reaches the second similarity threshold, it is determined that the two match, indicating that the wheel hub to be assembled matches the configured wheel hub model; if the similarity does not reach the second similarity threshold, it is determined that the two do not match, indicating that the wheel hub to be assembled does not match the configured wheel hub model; for example, the pixel data included in the target wheel hub color feature is compared with the pixel data included in the wheel hub color feature of the wheel to be assembled, and the above similarity is determined using the pixel quantity deviation. The greater the pixel data deviation, the smaller the similarity. Therefore, the matching situation between the wheel hub and the configuration can be determined through their pixel data.

[0142] In this step, if the target tire color feature is consistent with the tire color feature of the wheel to be assembled and the wheel hub color feature of the wheel to be assembled is consistent, it indicates that the tire model in the wheel to be assembled matches the configuration and the wheel hub model matches the configuration. Therefore, it can be determined that the wheel matches the vehicle, and thus the wheel to be assembled is controlled to enter the next process.

[0143] In this step, if the target wheel hub color feature is inconsistent with the wheel hub color feature of the wheel to be assembled, or the target tire color feature is inconsistent with the tire color feature of the wheel to be assembled, it indicates that at least one of the tire model and the wheel hub model in the wheel to be assembled does not match the configuration. Therefore, it can be determined that the wheel does not match the vehicle, that is, the wheel is not allowed to enter the next process.

[0144] In this implementation, the tire color feature and the wheel hub color feature in the wheel to be assembled are respectively compared with the tire color feature and the wheel hub color feature corresponding to the configured model. After determining the assembly situation of the tire and the assembly situation of the wheel hub, the overall assembly of the wheel is further obtained to determine whether it matches the configuration requirements of the vehicle.

[0145] Optionally, in a specific implementation, the target tire color feature and the tire color feature of the wheel to be assembled can be identified first. In the case where the target tire color feature and the tire color feature of the wheel to be assembled match, the matching situation between the target wheel hub color feature and the wheel hub color feature of the wheel to be assembled is then identified; among them, in the case where the target tire color feature and the tire color feature of the wheel to be assembled do not match, it is directly determined that the wheel does not match the vehicle.

[0146] Optionally, in another specific implementation, the target wheel hub color feature and the wheel hub color feature of the wheel to be assembled can be identified first. In the case where the target wheel hub color feature and the wheel hub color feature of the wheel to be assembled match, the matching situation between the target tire color feature and the tire color feature of the wheel to be assembled is then identified; among them, in the case where the target wheel hub color feature and the wheel hub color feature of the wheel to be assembled do not match, it is directly determined that the wheel does not match the vehicle.

[0147] Optionally, in one embodiment, the method provided by the embodiments of the present invention further includes step 107:

[0148] Step 107: When the target tire color feature is inconsistent with the tire color feature of the wheel to be assembled, or when the target hub color feature is inconsistent with the hub color feature of the wheel to be assembled, display an alarm message.

[0149] In this step, the alarm message is used to prompt the staff that the currently to-be-assembled wheel does not match the vehicle configuration model.

[0150] Optionally, the above alarm message can be an acoustic-optic signal or a text message or a pattern message for intuitively prompting the staff.

[0151] Optionally, the above alarm message includes the tire matching result and the hub matching result, so that the staff can quickly know whether the tire and / or the hub do not match the vehicle configuration model.

[0152] In this embodiment, by displaying an alarm message when the currently to-be-assembled wheel does not match the vehicle, the staff can be timely reminded to perform manual processing.

[0153] Optionally, in one embodiment, the method provided by the embodiments of the present invention further includes step 108:

[0154] Step 108: When receiving a verification signal for the alarm message, determine that the wheel matches the wheel.

[0155] In this step, the verification signal is a signal determined manually that the to-be-assembled wheel matches the vehicle configuration.

[0156] Among them, situations such as dust or stains may cause incorrect assembly identification. Therefore, it is determined that when it is determined that the wheel does not match the vehicle, the staff needs to manually discriminate the specific configuration information of the wheel; among them, the staff obtains the wheel configuration required for the to-be-assembled vehicle through the sorting of the tire assembly conveyor line displayed on the MES system interface, and manually compares and discriminates the models of the to-be-assembled tire and hub; if the staff determines that the assembly is correct, they perform manual release and generate the above verification signal, then the wheel flows into the next station for assembly, and the subsequent to-be-assembled wheels continue the above identification process; if the staff determines that the assembly is incorrect, they need to replace the wheel with the correct configuration and then perform manual release and generate the above first verification signal, and then the wheel flows into the next station for assembly.

[0157] Please refer to Figure 2 , which shows the system structure diagram for implementing the wheel assembly error prevention method provided by the embodiments of the present invention.

[0158] AsFigure 2 As shown in the figure, the wheel assembly anti-misassembly method provided by the embodiments of the present invention is jointly implemented by a tire centering roller path 21, a darkroom 22, a camera assembly 23, and an identification host 24.

[0159] Among them, the camera assembly 23 is arranged inside the darkroom 21, and the identification host 24 is connected to the camera assembly 23; the tire centering roller path 21 is used to convey the wheels to be assembled into the darkroom 21, and position them at a fixed centering position through photoelectric induction and a centering mechanism, so as to enable the camera assembly 23 to effectively take pictures and obtain their images, ensuring that the vision system can effectively identify color features; the darkroom 22 is composed of aluminum plastic plates, which can effectively surround and block external light source interference, and provide an independent light source inside to provide illumination for the camera assembly, enabling more efficient identification of the structure of the tire assembly; the length, width, and height of the darkroom can be 2030 mm, 1650 mm, and 2580 mm respectively; the camera assembly 23 can take pictures of the hub and tire according to different exposure settings. The camera assembly 23 includes a first camera 231 arranged on the top of the darkroom and a second camera 232 arranged on the side wall of the darkroom. The first camera 231 is used to take pictures of the top surface of the wheel, and the second camera 232 is used to take pictures of the side surface of the wheel; the identification host is used to identify the tire color feature and the hub color feature according to the images taken by the camera assembly, and compare them with the system configuration to identify whether there is an error in the assembly.

[0160] Please refer to Figure 3 , which shows the execution principle diagram of the wheel assembly method in the embodiments of the present invention.

[0161] As Figure 3 shown, in step 301, first obtain the tire model and hub model required for the vehicle to be assembled after the assembly line queue is updated through the MES system;

[0162] In step 302, send a shooting request to the camera assembly to take pictures of the tire image and the hub image to pick up the color features of the wheel (tire assembly); among them, the top camera takes a front image of the tire assembly to identify the color of the hub dynamic imbalance and the assembly situation of the wheel center cap, and the side camera takes the side tread of the tire assembly to identify the color of the tire tread line;

[0163] In step 303, according to the tire model and hub model required for the vehicle, process the images taken by the camera assembly to identify the assembly situation of the tire and hub. If there is an assembly error, enter step 304. If the assembly is correct, re-enter step 301 and execute the next cycle;

[0164] In step 304, trigger an audible and visual alarm to remind the staff to make a manual judgment;

[0165] In step 305, if the staff determines through discrimination that there is an error in the assembly, then proceed to step 306; if the staff determines through discrimination that the assembly is correct, then manually release the wheel to flow into the next work station and enter step 301 to execute the next cycle;

[0166] In step 306, the staff replaces the correctly assembled tire and wheel hub, and then manually releases and enters step 301 to execute the next cycle.

[0167] Please refer to Figure 4 , which shows the schematic diagram of the implementation principle for identifying the assembly situation of the tire and wheel hub in the embodiment of the present invention.

[0168] As Figure 4 shown, in step 331, obtain the wheel image captured by the camera assembly;

[0169] In step 332, pick up the corresponding feature points of the tire assembly through time vision operation. First, identify the color of the tire tread line and make a determination by comparing it with the reference information obtained in the model update step. If the color of the tire tread line is qualified, then proceed to step 333; otherwise, enter step 304 to enter the audible and visual alarm;

[0170] In step 333, identify the color of the dynamic imbalance point of the wheel hub and make a determination by comparing it with the reference information obtained in the model update step. If the color of the dynamic imbalance point of the wheel hub is qualified, then the tire flows into the next work station; otherwise, enter step 304 to enter the audible and visual alarm.

[0171] Figure 5 is a schematic diagram of a wheel assembly device provided by an embodiment of the present invention. The device includes:

[0172] The first feature acquisition module 51 is used to acquire the target tire color feature corresponding to the vehicle to be assembled. The target tire color features of different models of tires are different;

[0173] The second feature acquisition module 52 is used to acquire the tire color feature of the wheel to be assembled;

[0174] The first determination module 53 is used to determine that the wheel to be assembled matches the vehicle to be assembled when the target tire color feature and the tire color feature of the wheel to be assembled are consistent.

[0175] Optionally, the device further includes:

[0176] The third feature acquisition module 54 is used to acquire the target wheel hub color feature corresponding to the vehicle to be assembled after determining that the tire of the wheel to be assembled matches the vehicle to be assembled. The target wheel hub color features of different models of tires are different;

[0177] The fourth feature acquisition module 55 is configured to acquire the hub color feature of the wheel to be assembled;

[0178] The second determination module 56 is configured to, when the target hub color feature is consistent with the hub color feature of the wheel to be assembled, the wheel to be assembled enters the next process.

[0179] Optionally, in the device, the tire color feature includes at least one of the tread line color feature marked on the tread surface and the tire imbalance point color feature; the tread line colors of different models of tires are different, and the tire imbalance point colors of different models of tires are different;

[0180] The hub color feature includes the hub imbalance point color feature, and the hub imbalance point colors of different models of hubs are different.

[0181] Optionally, in the device, the first acquisition module 51 includes:

[0182] The first acquisition unit is configured to acquire the identification information of the vehicle to be assembled;

[0183] The first determination unit is configured to determine the configured tire model according to the identification information;

[0184] The second determination unit is configured to determine the target tire color feature according to the tire model.

[0185] Optionally, in the device, the second feature acquisition module 52 includes:

[0186] The second acquisition unit is configured to acquire the tire image of the wheel;

[0187] The third acquisition unit is configured to acquire the tire color feature of the wheel to be assembled according to the tire image.

[0188] Optionally, in the device, the fourth feature acquisition module 52 includes:

[0189] The fourth acquisition unit is configured to acquire the hub image of the wheel;

[0190] The fifth acquisition unit is configured to acquire the hub color feature of the wheel to be assembled according to the hub image.

[0191] Optionally, in the device, the third acquisition unit includes:

[0192] The first acquisition subunit is configured to acquire the first sub-image of the first region of interest in the tire image; the first region of interest includes at least one of the tread line marking region on the tread surface and the tire imbalance point region;

[0193] A second acquisition subunit, configured to perform binarization processing on the first sub-image to obtain first pixel data of the first region of interest;

[0194] A first determination subunit, configured to determine a tire color feature of the wheel to be assembled according to the first pixel data.

[0195] Optionally, in the device, the third acquisition unit further includes:

[0196] A first processing subunit, configured to perform magnification processing on the first sub-image before performing binarization processing on the first sub-image.

[0197] Optionally, the device further includes:

[0198] An alarm module, configured to display an alarm message when the wheel does not match the vehicle.

[0199] Optionally, the device further includes:

[0200] An authentication module, configured to determine that the wheel matches the wheel when receiving a first authentication signal for the alarm message.

[0201] For the above device embodiments, since they are basically similar to the wheel assembly method embodiments, the relevant parts can be referred to the partial descriptions of the method embodiments.

[0202] The wheel assembly device provided by the embodiments of the present invention configures different color features for different models of tires. Subsequently, by comparing the tire color features in the wheel to be assembled with the tire color features corresponding to the configured models, it can quickly and accurately identify whether the wheel to be assembled matches the configuration requirements of the vehicle, achieving the effect of preventing assembly errors, and effectively solving the problem that the prior art cannot effectively identify tire assembly errors.

[0203] Embodiments of the present invention further provide an electronic device, as Figure 6 shown, including a processor 601, a communication interface 602, a memory 603, and a communication bus 604. Among them, the processor 601, the communication interface 602, and the memory 603 communicate with each other through the communication bus 604.

[0204] The memory 603 is used to store a computer program.

[0205] When the processor 601 is used to execute the program stored in the memory 603, the following steps are implemented:

[0206] Obtain a target tire color feature corresponding to the vehicle to be assembled, and the target tire color features of different models of tires are different;

[0207] Obtain the tire color feature of the wheel to be assembled;

[0208] When the target tire color feature is consistent with the tire color feature of the wheel to be assembled, it is determined that the tire of the wheel to be assembled matches the vehicle to be assembled.

[0209] Among them, the processor 601 can also implement other steps in the above wheel assembly method, which will not be elaborated here.

[0210] The communication bus mentioned in the above electronic device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity, only a thick line is shown in the figure, but it does not mean that there is only one bus or one type of bus.

[0211] The communication interface is used for communication between the above electronic device and other devices.

[0212] The memory may include a Random Access Memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. Optionally, the memory may also be at least one storage device located far from the aforementioned processor.

[0213] The above-mentioned processor may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0214] In another embodiment provided by the present invention, a wheel assembly system is further provided, and this system includes the above-mentioned electronic device.

[0215] In yet another embodiment provided by the present invention, there is also provided a computer-readable storage medium storing instructions which, when run on a computer, cause the computer to execute the wheel assembly method described in the above embodiments.

[0216] In yet another embodiment provided by the present invention, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to execute the wheel assembly method described in the above embodiments.

[0217] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from a website, computer, server, or data center to another website, computer, server, or data center by wire (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wirelessly (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server or data center that includes one or more integrated available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid-state disk (SSD)).

[0218] It should be noted that in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including", or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or device. Without further limitation, an element defined by the statement "comprising a..." does not exclude the existence of additional identical elements in the process, method, article, or device comprising the element.

[0219] Each embodiment in this specification is described in a related manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. For the embodiments of the device, electronic device, computer-readable storage medium, and computer program product containing instructions, since they are basically similar to the method embodiments, the description is relatively simple. For the relevant parts, reference can be made to the partial description of the method embodiments.

[0220] The above description is only for the preferred embodiments of the present invention and is not intended to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.

Claims

1. A wheel assembly method, characterized in that, The method includes: Obtaining the target tire color feature corresponding to the vehicle to be assembled, where the target tire color features of tires of different models are different; Obtaining the tire color feature of the wheel to be assembled; When the target tire color feature is consistent with the tire color feature of the wheel to be assembled, it is determined that the tire of the wheel to be assembled matches the vehicle to be assembled.

2. The method according to claim 1, characterized in that, After determining that the tire of the wheel to be assembled matches the vehicle to be assembled, the method further includes: Obtaining the target hub color feature corresponding to the vehicle to be assembled, where the target hub color features of tires of different models are different; Obtaining the hub color feature of the wheel to be assembled; When the target hub color feature is consistent with the hub color feature of the wheel to be assembled, the wheel to be assembled enters the next process.

3. The method according to claim 2, wherein The tire color feature includes at least one of the tread line color feature marked on the tread surface and the tire unbalance point color feature; the tread line colors of tires of different models are different, and the tire unbalance point colors of tires of different models are different; The hub color feature includes the hub unbalance point color feature, and the hub unbalance point colors of different models of hubs are different.

4. The method according to claim 2, wherein Obtaining the tire color feature of the wheel to be assembled includes: Obtaining the tire image of the wheel; According to the tire image, obtaining the tire color feature of the wheel to be assembled; Obtaining the hub color feature of the wheel to be assembled includes: Obtaining the hub image of the wheel; According to the hub image, obtaining the hub color feature of the wheel to be assembled.

5. The method according to claim 4, wherein According to the first image, obtaining the tire color feature of the wheel to be assembled includes: Obtaining the first sub-image of the first region of interest in the tire image; the first region of interest includes at least one of the tread line region marked on the tread surface and the tire unbalance point region; Performing binarization processing on the first sub-image to obtain the first pixel data of the first region of interest; According to the first pixel data, determining the tire color feature of the wheel to be assembled.

6. The method according to claim 5, wherein Before performing binarization processing on the first sub-image, the method further includes: Performing magnification processing on the first sub-image.

7. The method according to claim 2, characterized in that, The method further includes: When the target tire color feature is inconsistent with the tire color feature of the wheel to be assembled, or when the target hub color feature is inconsistent with the hub color feature of the wheel to be assembled, displaying an alarm message; In the case of receiving a verification signal for the alarm message, the wheel to be assembled enters the next process.

8. A wheel assembly device, characterized in that, Including: A first feature acquisition module for obtaining the target tire color feature corresponding to the vehicle to be assembled, where the target tire color features of tires of different models are different; A second feature acquisition module for obtaining the tire color feature of the wheel to be assembled; A first determination module for determining that the wheel to be assembled matches the vehicle to be assembled when the target tire color feature is consistent with the tire color feature of the wheel to be assembled.

9. An electronic device, characterized in that, Including: A processor, a communication interface, a memory, and a communication bus; wherein, the processor, the communication interface, and the memory complete communication with each other through the communication bus; The memory is used for storing computer programs; When the processor executes the programs stored on the memory, it implements the steps in the wheel assembly method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, it implements the steps in the wheel assembly method according to any one of claims 1 to 7.

Images