Information processing method, device and equipment, medium and vehicle

Abstract

The embodiment of the invention provides an information processing method and device, equipment, a medium and a vehicle, and the method comprises the steps: obtaining the first wheel information of a to-be-installed wheel, and the first wheel information comprises tire information and hub information; and in response to the fact that the tire information and the hub information meet the wheel matching condition, first wheel information is sent to a manufacturing enterprise production process execution system (MES) so that the MES can compare the first wheel information with second wheel information, and the second wheel information is wheel information matched with the target vehicle. According to the embodiment of the invention, the accuracy of wheel information checking can be improved.

Description

Technical Field

[0001] The present application belongs to the field of vehicle technology, and in particular, relates to an information processing method, device, equipment and storage medium. Background Art

[0002] In real life, when installing wheels on a vehicle, it is generally necessary to install them according to the user's optional order. Based on this, before installing the wheels on each vehicle, it is necessary to manually check whether the wheel information of the wheel to be installed is the same as the wheel information recorded in the user's optional order. If the wheel information of the wheel to be installed is the same as the wheel information recorded in the user's optional order, the wheel will be installed. If the tire information of the wheel to be installed is different from the tire information recorded in the user's optional order, it is necessary to adjust it according to the wheel information recorded in the user's optional order. However, the accuracy of manual verification of wheel information is low, which makes it easy for the vehicle to install the wrong wheel. Summary of the invention

[0003] The purpose of the embodiments of the present application is to provide an information processing method, device, equipment, medium and vehicle, which improve the accuracy of wheel information verification.

[0004] In a first aspect, an embodiment of the present application provides an information processing method, the method comprising:

[0005] Acquire first wheel information of a wheel to be installed, the first wheel information including tire information and wheel hub information;

[0006] In response to the tire information and the hub information satisfying the wheel matching condition, the first wheel information is sent to the manufacturing enterprise's production process execution system MES, so that the MES compares the first wheel information and the second wheel information, and the second wheel information is the wheel information matching the target vehicle.

[0007] In an optional implementation of the first aspect, in response to the tire information and the wheel hub information satisfying the wheel matching condition, the first wheel information is sent to a manufacturing enterprise production process execution system MES, so that the MES compares the first wheel information and the second wheel information, and the method further includes:

[0008] receiving an installation instruction sent by the MES, where the installation instruction is an instruction sent by the MES when it is determined that the first wheel information and the second vehicle information are the same;

[0009] According to the installation instructions, install the wheel to be installed on the target vehicle.

[0010] In an optional implementation of the first aspect, the first wheel information includes at least a tire type; acquiring the first wheel information of the wheel to be installed includes:

[0011] Acquire a first wheel image of a wheel to be installed;

[0012] Recognize the first wheel image by using image recognition technology to obtain the first tire type in the first wheel information;

[0013] Recognize the first wheel image by using character recognition technology to obtain the second tire type in the first wheel information;

[0014] In response to the tire information and the wheel hub information satisfying the wheel matching condition, the first wheel information is sent to the manufacturing enterprise production process execution system MES, so that the MES compares the first wheel information with the second wheel information, including:

[0015] In response to the first tire type and the second tire type satisfying the first preset condition, and the tire information and the hub information satisfying the wheel matching condition, the first wheel information is sent to the MES for the MES to compare the first wheel information and the second wheel information, wherein the first preset condition includes that the first tire type and the second tire type are the same.

[0016] In an optional implementation of the first aspect, the tire information includes tire size and tire center point position, and the wheel hub information includes wheel hub size and wheel hub center point position;

[0017] In response to the tire information and the wheel hub information satisfying the wheel matching condition, the first wheel information is sent to the manufacturing enterprise production process execution system MES, so that the MES compares the first wheel information with the second wheel information, and the method further includes:

[0018] In response to the tire size and the wheel hub size satisfying the second preset condition, and the tire center point position and the wheel hub center point position satisfying the third preset condition, determining that the tire information and the wheel hub information satisfy the wheel matching condition;

[0019] The second preset condition includes that the tire size matches the wheel hub size, and the third preset condition includes that the difference between the tire center point position and the wheel hub center point position is within a preset difference range.

[0020] In an optional implementation manner of the first aspect, before obtaining the first wheel information of the wheel to be installed, the method further includes:

[0021] Acquire a first acquisition time for acquiring a first wheel image;

[0022] In response to the first acquisition moment satisfying a fourth preset condition, adjusting a device parameter of the image acquisition device so that the image brightness of the first wheel image is within a preset brightness range;

[0023] Among them, the fourth preset condition is that the first acquisition moment is within the target time period, the target time period is the time period obtained by clustering based on the second acquisition moment of the second wheel image, and the second wheel image is a wheel image acquired within the first time period before the first acquisition moment, and the image brightness is not within the preset brightness range.

[0024] In an optional implementation of the first aspect, the method further includes:

[0025] Acquire image information of a plurality of third wheel images within a first time period, wherein the image information of the third wheel images includes image brightness and image acquisition time;

[0026] Based on the image brightness of the third wheel image, screening out the second wheel image whose image brightness exceeds a preset brightness range from the plurality of third wheel images;

[0027] The image acquisition moments of the target wheel images are clustered to obtain a target time period within the second time period, the first time period includes a plurality of second time periods, and the target wheel images are wheel images whose image acquisition moments are within the same second time period.

[0028] In a second aspect, an embodiment of the present application provides an information processing device, the device comprising:

[0029] An acquisition module, used to acquire first wheel information of a wheel to be installed, the first wheel information including tire information and wheel hub information;

[0030] The sending module is used to send the first wheel information to the manufacturing enterprise's production process execution system MES in response to the tire information and the hub information satisfying the wheel matching condition, so that the MES can compare the first wheel information with the second wheel information, and the second wheel information is the wheel information matching the target vehicle.

[0031] In a third aspect, an electronic device is provided, comprising a memory for storing computer program instructions; and a processor for reading and running the computer program instructions stored in the memory to execute the information processing method provided by any optional implementation in the first aspect.

[0032] In a fourth aspect, a computer storage medium is provided, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the information processing method provided by any optional implementation method in the first aspect is implemented.

[0033] In a fifth aspect, a vehicle is provided, comprising at least one of the above-mentioned information processing device, electronic device and computer storage medium.

[0034] In the embodiment of the present application, the first wheel information of the wheel to be installed can be obtained. Since the first wheel information can include tire information and wheel hub information, the first wheel information can be sent to the MES in response to the tire information and wheel hub information satisfying the vehicle matching condition, so that the MES can compare whether the first wheel information and the second wheel information are the same, wherein the second vehicle information is the wheel information that matches the target vehicle. In this way, not only can the accuracy of wheel information verification be improved, avoiding the situation where wheel installation errors occur in subsequent vehicles, but also the efficiency of wheel information verification can be improved, thereby improving the production efficiency of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solution of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0036] Figure 1 It is a flowchart of an information processing method provided by an embodiment of the present application;

[0037] Figure 2 is a structural diagram of an information processing device provided in an embodiment of the present application;

[0038] Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0040] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0041] In order to solve the problem of low accuracy of manual wheel information verification in the prior art, the embodiments of the present application provide an information processing method, device, equipment, medium and vehicle. The method can obtain the first wheel information of the wheel to be installed. Since the first wheel information can include tire information and hub information, the first wheel information can be sent to the MES in response to the tire information and hub information satisfying the vehicle matching condition, so that the MES can compare whether the first wheel information and the second wheel information are the same, wherein the second vehicle information is the wheel information that matches the target vehicle. In this way, not only can the accuracy of wheel information verification be improved, avoiding wheel installation errors in subsequent vehicles, but also the efficiency of wheel information verification can be improved, thereby improving the production efficiency of the vehicle.

[0042] The information processing method provided in the embodiment of the present application is described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0043] Figure 1 It is a flowchart of an information processing method provided in an embodiment of the present application.

[0044] like Figure 1 As shown, the execution subject of the information processing method may be a wheel installation system, and the method may include the following steps:

[0045] S110, obtaining first wheel information of a wheel to be installed.

[0046] In some embodiments, the first wheel information mentioned above includes tire information and wheel hub information. The tire information may be information related to the tire corresponding to the wheel to be installed, for example, it may include manufacturer information. The wheel hub information may be information related to the wheel hub corresponding to the wheel to be installed, for example, it may include manufacturer information. It should also be noted that the tire may be a circular elastic rubber product that is assembled on the wheel and rolls on the ground. The wheel hub may be a cylindrical metal component that is centrally mounted on an axle and whose inner profile supports the tire.

[0047] In one embodiment, the wheel installation system may include an image acquisition device, for example, the image acquisition device may include an industrial camera, which is not limited here. Based on this, the above-mentioned S110 may include the following steps:

[0048] Receive the image acquisition signal sent by MES;

[0049] Based on the image acquisition signal, trigger the image acquisition device to acquire a first wheel image of the wheel to be installed;

[0050] Image recognition and character recognition are performed on the first wheel image of the wheel to be installed respectively to obtain first wheel information of the wheel to be installed.

[0051] The image acquisition signal may be a signal for triggering the image acquisition device to start acquiring wheel images.

[0052] Specifically, the wheel installation system can receive an image acquisition signal sent by the manufacturing enterprise's production execution system (Manufacturing Execution System, MES), and then, based on the image acquisition signal, trigger the above-mentioned image acquisition device to start acquiring a first wheel image corresponding to the wheel to be installed, and then perform image recognition and character recognition on the first wheel image of the wheel to be installed, respectively, to obtain the first wheel information of the wheel to be installed.

[0053] It should be noted that the image recognition of the first wheel image of the wheel to be installed can be performed based on a visual detection algorithm. When character recognition is performed on the first wheel image of the wheel to be installed, it can be performed based on a character detection and recognition-related algorithm in a deep learning visual algorithm. Among them, the visual detection algorithm and character detection and recognition-related algorithm involved above can be determined according to the specific situation, and no excessive restrictions are made here.

[0054] Based on this, it should be noted that when the image acquisition device acquires the first wheel image, it takes into account that the acquired first wheel image may have quality problems, such as the image being too bright or too dark due to environmental interference. Therefore, after acquiring the first wheel image, the first wheel image may be preprocessed, and the preprocessing may include image processing methods such as exposure gain adjustment and histogram equalization to optimize the image and improve the overall image quality.

[0055] It should also be noted that the first wheel image may have an incomplete wheel or there may be multiple wheels in the image. Based on this, it is necessary to analyze the wheel position in the first wheel image and the angle of the image acquisition device, and to detect the first wheel image in combination with a deep learning visual method. Combining the results obtained from the above analysis and the results obtained from the above detection, the first wheel image is cropped to obtain a cropped first wheel image.

[0056] S120, in response to the tire information and the wheel hub information satisfying the wheel matching condition, sending the first wheel information to the manufacturing enterprise's production process execution system MES, so that the MES compares the first wheel information with the second wheel information.

[0057] The wheel matching conditions mentioned above may be pre-set conditions based on actual experience and used to determine whether the tire information matches the wheel hub information, and are not specifically limited here. In addition, the second wheel information mentioned above may be wheel information that matches the target vehicle, that is, wheel information of the wheel required to be installed on the target vehicle, and may also be understood as wheel information in the standard configuration information of the target vehicle.

[0058] Specifically, after obtaining the tire information and wheel hub information of the wheel to be installed, the wheel installation system can first determine whether the obtained tire information and wheel hub information meet the wheel matching information. If the tire information and wheel hub information meet the wheel matching conditions, the wheel installation system can send the first wheel information to the MES in response to the tire information and wheel hub information meeting the wheel matching conditions, so that the MES can compare the received first wheel information with the second wheel information stored in itself.

[0059] In the embodiment of the present application, the first wheel information of the wheel to be installed can be obtained. Since the first wheel information can include tire information and wheel hub information, the first wheel information can be sent to the MES in response to the tire information and wheel hub information satisfying the vehicle matching condition, so that the MES can compare whether the first wheel information and the second wheel information are the same, wherein the second vehicle information is the wheel information that matches the target vehicle. In this way, not only can the accuracy of wheel information verification be improved, avoiding the situation where wheel installation errors occur in subsequent vehicles, but also the efficiency of wheel information verification can be improved, thereby improving the production efficiency of the vehicle.

[0060] In order to more comprehensively describe the information processing method provided by the embodiment of the present application, in one embodiment, after the above S120, the above-mentioned information processing method may further include the following steps:

[0061] Receive installation instructions sent by MES;

[0062] According to the installation instructions, install the wheel to be installed on the target vehicle.

[0063] In some embodiments, the installation instruction mentioned above may be an instruction sent by the MES when it is determined that the first wheel information and the second vehicle information are the same.

[0064] Specifically, if the MES compares the first wheel information and the second wheel information, and the comparison result is that the first wheel information is the same as the second wheel information, the MES will send an installation instruction to the wheel installation system. Based on this, the wheel installation system can receive the installation instruction sent by the MES and install the above-mentioned wheels to be installed on the target vehicle according to the installation instruction.

[0065] In this embodiment, when the MES determines that the first wheel information and the second wheel information are the same, that is, when the wheel to be installed is determined to be a wheel matching the target vehicle, the wheel installation system can receive the installation instruction sent by the MES, and install the wheel to be installed on the target vehicle according to the installation instruction. In this way, the situation where the vehicle wheel is installed incorrectly is avoided, thereby improving the accuracy of wheel installation.

[0066] In real life, wheel tires may have characters identifying the tire type. In addition, the tread patterns displayed on the tire treads of different tire types are also different. Therefore, the tire type can be determined by identifying the characters marked on the tire or the tread pattern of the tire.

[0067] Based on this, in one embodiment, the first wheel information involved above at least includes a tire type. Based on this, the S110 involved above may include the following steps:

[0068] Acquire a first wheel image of a wheel to be installed;

[0069] Recognize the first wheel image by using image recognition technology to obtain the first tire type in the first wheel information;

[0070] Recognize the first wheel image by using character recognition technology to obtain the second tire type in the first wheel information;

[0071] Specifically, the wheel installation system can obtain a first wheel image of the wheel to be installed, and use image recognition technology to identify the first wheel image, and obtain the first tire type in the first wheel information, that is, determine the first tire type by identifying the tread pattern on the tire tread of the wheel to be installed; in addition, the wheel installation system can also use character recognition technology to identify the first wheel image, and obtain the second tire type in the first wheel information, that is, determine the second tire type by identifying characters on the tire on the wheel to be installed.

[0072] Based on this, the above-mentioned S120 may specifically include the following steps:

[0073] In response to the first tire type and the second tire type satisfying the first preset condition, and the tire information and the hub information satisfying the wheel matching condition, the first wheel information is sent to the MES for the MES to compare the first wheel information with the second wheel information.

[0074] The first preset condition may include that the first tire type and the second tire type are the same.

[0075] Specifically, after obtaining the first tire type and the second tire type in the first wheel information, the wheel installation system may first determine whether the first tire type and the second tire type satisfy the first preset condition, that is, determine whether the first tire type and the second tire type are the same. If the first tire type and the second tire type satisfy the first preset condition, it indicates that the accuracy of the acquired first wheel information is relatively high. Based on this, the wheel installation system may then determine whether the tire information and the hub information satisfy the wheel matching condition. If the tire information and the hub information satisfy the wheel matching condition, the wheel installation system may send the first wheel information to the MES in response to the first tire type and the second tire type satisfying the first preset condition, and the tire information and the hub information satisfy the wheel matching condition, so that the MES can compare whether the first wheel information and the second wheel information are the same.

[0076] In addition, it should be noted that if the first tire type and the second tire type do not meet the first preset condition, that is, the first tire type and the second tire type are different, it indicates that the accuracy of the acquired first wheel information is low and the first wheel information needs to be acquired again.

[0077] In this embodiment, the first wheel image can be recognized from different angles by image recognition technology and character recognition technology to obtain the first tire type and the second tire type, and then the first tire type and the second tire type can be compared to see if they are the same, so as to continue to determine whether the tire information and the wheel hub information meet the wheel matching conditions when the accuracy of the first wheel information obtained is high. In this way, the situation of incorrectly identifying the tire type can be avoided, thereby improving the accuracy of wheel information verification and avoiding the situation of incorrect wheel installation on the vehicle.

[0078] In order to more accurately describe the information processing method provided by the embodiment of the present application, in one embodiment, the tire information involved above also includes tire size and tire center point position, and the wheel hub information involved above may include wheel hub size and wheel hub center point position.

[0079] Based on this, in one embodiment, before the above-mentioned S120, the above-mentioned information processing method may further include the following steps:

[0080] In response to the tire size and the wheel hub size satisfying the second preset condition, and the tire center point position and the wheel hub center point position satisfying the third preset condition, it is determined that the tire information and the wheel hub information satisfy the wheel matching condition.

[0081] In some embodiments, the second preset condition may include that the tire size matches the wheel hub size, and the third preset condition may include that the difference between the tire center point position and the wheel hub center point position is within a preset difference range. The preset difference range may be a difference range preset based on actual experience or circumstances, and is not further limited herein.

[0082] Specifically, since the tire information involved above may include tire size and tire center position, and the wheel hub information involved above includes wheel hub size and wheel hub center point position. Based on this, the wheel installation system may first determine whether the tire size and wheel hub size meet the second preset condition, that is, determine whether the tire size and wheel hub size match. If the tire size and wheel hub size meet the second preset condition, the wheel installation system may then determine whether the tire center point position and wheel hub center point position meet the third preset condition, that is, determine whether the difference between the tire center point position and wheel hub center point position is within the preset difference range. If the tire center point position and wheel hub center point position also meet the third preset condition, the wheel installation system may determine that the tire information and wheel hub information meet the wheel matching condition, that is, the tire and wheel hub are compatible.

[0083] In this embodiment, it is possible to determine whether the tire size matches the wheel size and whether the difference between the tire center point position and the wheel center point position is within a preset difference range. If the tire size matches the wheel size and the difference between the tire center point position and the wheel center point position is within the preset difference range, it can be determined that the tire information and the wheel information meet the wheel matching condition. In this way, the accuracy of determining whether the tire information and the wheel information of the wheel to be installed match is improved.

[0084] In order to describe the information processing method provided by the embodiment of the present application in more comprehensive and detailed manner, in one embodiment, before S110, the information processing method involved above may include the following steps:

[0085] Acquire a first acquisition time for acquiring a first wheel image;

[0086] In response to the first acquisition moment satisfying a fourth preset condition, a device parameter of the image acquisition device is adjusted so that the image brightness of the first wheel image is within a preset brightness range.

[0087] In some embodiments, the fourth preset condition may be that the first acquisition moment is within a target time period. In addition, the target time period involved may be a time period obtained by clustering based on the second acquisition moment of the second wheel image, and the second wheel image may be a wheel image whose image brightness is not within a preset brightness range in a first time period before the first acquisition moment. The preset brightness range may be a range pre-set based on actual experience or circumstances.

[0088] Specifically, the wheel installation system can obtain the first acquisition moment for acquiring the first wheel image, and determine whether the first acquisition moment satisfies the fourth preset condition. If so, that is, the first acquisition moment satisfies the fourth preset condition. Based on this, the wheel installation system can adjust the device parameters of the image acquisition device in response to the first acquisition moment satisfying the fourth preset condition, so that the image brightness of the first wheel image is within the preset brightness range.

[0089] In this embodiment, based on the acquisition time of images in the historical time period when the image brightness is not within the preset brightness range, the time period in which the device parameters of the image acquisition device need to be adjusted can be determined, and then the device parameters of the image acquisition device in the time period can be adjusted. In this way, the image acquired in the time period is prevented from being overexposed or too dark.

[0090] In order to describe the information processing method provided by the embodiment of the present application in more detail, in one embodiment, the information processing method involved above may include the following steps:

[0091] Acquire image information of a plurality of third wheel images within a first time period, wherein the image information of the third wheel images includes image brightness and image acquisition time;

[0092] Based on the image brightness of the third wheel image, screening out the second wheel image whose image brightness exceeds a preset brightness range from the plurality of third wheel images;

[0093] The image acquisition moments of the target wheel images are clustered to obtain a target time period within the second time period.

[0094] The first time period mentioned above may include multiple second time periods, and the target wheel image is a wheel image in the same second time period at the time of image acquisition. In addition, the first time period and the second time period mentioned above may be time periods pre-set based on actual experience, and are not specifically limited here.

[0095] Specifically, the wheel installation system can obtain image information of multiple third wheel images within the first time period. Since the image information of each third wheel image may include image brightness and image acquisition time, based on this, the image brightness of the third wheel image can be used to screen out the second wheel image whose image brightness exceeds the preset brightness range from the multiple third wheel images, and then the image acquisition time of the target wheel image can be clustered to obtain the target time period within the second time period.

[0096] In one example, assuming that the first time period can be a week and the second time period can be a day, based on this, the wheel installation system can obtain multiple third wheel images within a week, and filter out multiple second wheel images from the multiple third wheel images according to the image brightness of the third wheel images, and the filtered second wheel images can be grouped according to the second preset time period, each group includes the second wheel images in the same second time period, and then clustering can be performed based on the image acquisition time of the second wheel images in each group to obtain a target time period within the second time period. For example, the target time period can be 12:00 to 14:00 and 18:00 to 19:00 every day.

[0097] In this embodiment, the wheel installation system can determine the time period when the historical image quality is abnormal based on the historical wheel images obtained within the historical time, so as to facilitate the subsequent adjustment of the equipment parameters of the image acquisition equipment within the time period, thereby avoiding overexposure or excessive darkness of the images acquired within the time period.

[0098] It should be noted that the MES involved above can also archive the comparison result of the first wheel information and the second wheel information according to the unique identification of the target vehicle, such as the vehicle identification code, and upload it to a designated file server for storage. In addition, since image acquisition equipment anomalies, wheel information anomalies, etc. may occur during the operation of the system, the information processing method provided in the embodiment of the present application can also output error codes for the above two situations, retake photos or issue alarms, and form a closed loop of the system process.

[0099] Based on the same inventive concept, the embodiment of the present application also provides an information processing device, which can be applied to the wheel installation system, and no further limitation is given here. Figure 2 The information processing device provided in the embodiment of the present application is described in detail.

[0100] Figure 2 It is a structural diagram of an information processing device provided in an embodiment of the present application.

[0101] like Figure 2 As shown, the information processing device 200 may include: an acquisition module 210 and a sending module 220.

[0102] An acquisition module 210 is used to acquire first wheel information of a wheel to be installed, where the first wheel information includes tire information and wheel hub information;

[0103] The sending module 220 is used to send the first wheel information to the manufacturing enterprise's production process execution system MES in response to the tire information and the hub information satisfying the wheel matching condition, so that the MES can compare the first wheel information and the second wheel information, and the second wheel information is the wheel information matching the target vehicle.

[0104] In one embodiment, the above-mentioned information processing device may further include a receiving module and an installation module.

[0105] A receiving module, configured to send the first wheel information to the manufacturing enterprise production process execution system MES in response to the tire information and the wheel hub information satisfying the wheel matching condition, so that after the MES compares the first wheel information and the second wheel information, the installation instruction sent by the MES is received, and the installation instruction is an instruction sent by the MES when it is determined that the first wheel information and the second vehicle information are the same;

[0106] The installation module is used to install the wheel to be installed on the target vehicle according to the installation instruction.

[0107] In one embodiment, the first wheel information at least includes a tire type; the acquisition module involved above is specifically used for:

[0108] Acquire a first wheel image of a wheel to be installed;

[0109] Recognize the first wheel image by using image recognition technology to obtain the first tire type in the first wheel information;

[0110] The first wheel image is recognized by using character recognition technology to obtain the second tire type in the first wheel information.

[0111] Based on this, the sending module involved above is specifically used for:

[0112] In response to the first tire type and the second tire type satisfying the first preset condition, and the tire information and the hub information satisfying the wheel matching condition, the first wheel information is sent to the MES for the MES to compare the first wheel information and the second wheel information, wherein the first preset condition includes that the first tire type and the second tire type are the same.

[0113] In one embodiment, the tire information further includes tire size and tire center point position, and the wheel hub information includes wheel hub size and wheel hub center point position;

[0114] The information processing device mentioned above may further include a determination module;

[0115] a determination module, configured to send the first wheel information to the manufacturing enterprise production process execution system MES in response to the tire information and the wheel hub information satisfying the wheel matching condition, so as to determine that the tire information and the wheel hub information satisfy the wheel matching condition in response to the tire size and the wheel hub size satisfying the second preset condition, and the tire center point position and the wheel hub center point position satisfying the third preset condition before the MES compares the first wheel information with the second wheel information;

[0116] The second preset condition includes that the tire size matches the wheel hub size, and the third preset condition includes that the difference between the tire center point position and the wheel hub center point position is within a preset difference range.

[0117] In one embodiment, the above-mentioned information processing device may further include an adjustment module.

[0118] The acquisition module is further used to acquire a first acquisition time of acquiring a first wheel image before acquiring the first wheel information of the wheel to be installed;

[0119] an adjustment module, configured to adjust a device parameter of the image acquisition device in response to the first image acquisition moment satisfying a fourth preset condition, so that the image brightness of the first wheel image is within a preset brightness range;

[0120] Among them, the fourth preset condition is that the first acquisition moment is within the target time period, the target time period is the time period obtained by clustering based on the second acquisition moment of the second wheel image, and the second wheel image is a wheel image acquired within the first time period before the first acquisition moment, and the image brightness is not within the preset brightness range.

[0121] In one embodiment, the above-mentioned information processing device may further include a screening module and a clustering module.

[0122] The acquisition module is further used to acquire image information of a plurality of third wheel images within the first time period, wherein the image information of the third wheel images includes image brightness and image acquisition time;

[0123] A screening module, configured to screen out second wheel images whose image brightness exceeds a preset brightness range from a plurality of third wheel images based on the image brightness of the third wheel images;

[0124] The clustering module is used to cluster the image acquisition moments of the target wheel images to obtain the target time period within the second time period. The first time period includes multiple second time periods. The target wheel images are wheel images whose image acquisition moments are within the same second time period.

[0125] In the embodiment of the present application, the first wheel information of the wheel to be installed can be obtained. Since the first wheel information can include tire information and wheel hub information, the first wheel information can be sent to the MES in response to the tire information and wheel hub information satisfying the vehicle matching condition, so that the MES can compare whether the first wheel information and the second wheel information are consistent, wherein the second vehicle information is the wheel information matching the target vehicle. In this way, the accuracy of checking the wheel information can be improved, and the wheel installation errors of subsequent vehicles can be avoided, thereby improving the production efficiency of the vehicle.

[0126] Each module in the information processing device provided in the embodiment of the present application can be used to implement Figure 1 The method steps of the illustrated embodiment can achieve the corresponding technical effects, and for the sake of brevity, they will not be repeated here.

[0127] Figure 3 A schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application is shown.

[0128] The electronic device may include a processor 301 and a memory 302 storing computer program instructions.

[0129] Specifically, the processor 301 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0130] The memory 302 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 702 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. In appropriate cases, the memory 302 may include a removable or non-removable (or fixed) medium. In appropriate cases, the memory 302 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 302 is a non-volatile solid-state memory.

[0131] The memory may include read-only memory (ROM), random access memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical or other physical / tangible memory storage devices. Thus, typically, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to an aspect of the present disclosure.

[0132] The processor 301 implements any one of the information processing methods in the above embodiments by reading and executing computer program instructions stored in the memory 302 .

[0133] In one example, the electronic device may further include a communication interface 303 and a bus 310. Figure 3 As shown, the processor 301, the memory 302, and the communication interface 303 are connected via a bus 310 and communicate with each other.

[0134] The communication interface 303 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application.

[0135] Bus 310 includes hardware, software or both, and the parts of online data flow billing equipment are coupled to each other. For example, but not limitation, bus may include accelerated graphics port (AGP) or other graphics bus, enhanced industrial standard architecture (EISA) bus, front-end bus (FSB), hypertransport (HT) interconnection, industrial standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. In appropriate cases, bus 310 may include one or more buses. Although the present application embodiment describes and shows a specific bus, the present application considers any suitable bus or interconnection.

[0136] In addition, in combination with the information processing method in the above embodiment, the embodiment of the present application can provide a computer storage medium for implementation. The computer storage medium stores computer program instructions; when the computer program instructions are executed by the processor, the information processing method provided in the embodiment of the present application is implemented.

[0137] An embodiment of the present application also provides a computer program product. When instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes an information processing method as provided in the embodiment of the present application.

[0138] It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application.

[0139] The functional blocks shown in the above block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present application are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

[0140] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiment, or in a different order from the embodiment, or several steps can be performed simultaneously.

[0141] Aspects of the present disclosure are described above with reference to the flowchart and / or block diagram of the method, device (system) and computer program product according to the embodiment of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable information processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable information processing device enable the implementation of the function / action specified in one or more boxes of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic circuit. It can also be understood that each box in the block diagram and / or flowchart and the combination of boxes in the block diagram and / or flowchart can also be implemented by dedicated hardware that performs a specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0142] The above are only specific implementation methods of the present application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present application is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the protection scope of this application.

[0143] It should be noted that, in this article, 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 such actual relationship or order between these entities or operations. Moreover, the term "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

Claims

1. An information processing method, characterized in that: The method comprises: Acquire first wheel information of a wheel to be installed, wherein the first wheel information includes tire information and wheel hub information; In response to the tire information and the hub information satisfying the wheel matching condition, the first wheel information is sent to the manufacturing enterprise's production process execution system MES, so that the MES compares the first wheel information with the second wheel information, and the second wheel information is the wheel information that matches the target vehicle.

2. The method according to claim 1, characterized in that In response to the tire information and the wheel hub information satisfying the wheel matching condition, the first wheel information is sent to a manufacturing enterprise production process execution system MES for the MES to compare the first wheel information with the second wheel information, and the method further includes: receiving an installation instruction sent by the MES, where the installation instruction is an instruction sent by the MES when it is determined that the first wheel information and the second vehicle information are the same; According to the installation instruction, the wheel to be installed is installed on the target vehicle.

3. The method according to claim 1, characterized in that The first wheel information includes at least a tire type; The step of obtaining first wheel information of a wheel to be installed includes: Acquire a first wheel image of a wheel to be installed; recognizing the first wheel image by using image recognition technology to obtain a first tire type in the first wheel information; recognizing the first wheel image by using character recognition technology to obtain the second tire type in the first wheel information; In response to the tire information and the wheel hub information satisfying the wheel matching condition, sending the first wheel information to a manufacturing enterprise production process execution system MES, so that the MES compares the first wheel information with the second wheel information, including: In response to the first tire type and the second tire type satisfying a first preset condition, and the tire information and the wheel hub information satisfying a wheel matching condition, the first wheel information is sent to the MES for the MES to compare the first wheel information and the second wheel information, wherein the first preset condition includes that the first tire type and the second tire type are the same.

4. The method according to claim 1 or 3, characterized in that: The tire information includes tire size and tire center point position, and the wheel hub information includes wheel hub size and wheel hub center point position; In response to the tire information and the wheel hub information satisfying the wheel matching condition, sending the first wheel information to a manufacturing enterprise production process execution system MES for use by the MES before comparing the first wheel information with the second wheel information, the method further includes: In response to the tire size and the wheel hub size satisfying a second preset condition, and the tire center point position and the wheel hub center point position satisfying a third preset condition, determining that the tire information and the wheel hub information satisfy a wheel matching condition; The second preset condition includes that the tire size matches the wheel hub size, and the third preset condition includes that the difference between the center point position of the tire and the center point position of the wheel hub is within a preset difference range.

5. The method according to claim 1, characterized in that Before obtaining the first wheel information of the wheel to be installed, the method further includes: Acquire a first acquisition time for acquiring the first wheel image; In response to the first acquisition moment satisfying a fourth preset condition, adjusting a device parameter of an image acquisition device so that the image brightness of the first wheel image is within a preset brightness range; Among them, the fourth preset condition is that the first acquisition moment is within the target time period, the target time period is the time period obtained by clustering based on the second acquisition moment of the second wheel image, and the second wheel image is a wheel image acquired within the first time period before the first acquisition moment, and the image brightness is not within the preset brightness range.

6. The method according to claim 5, characterized in that The method further comprises: Acquire image information of a plurality of third wheel images within a first time period, wherein the image information of the third wheel images includes image brightness and image acquisition time; Based on the image brightness of the third wheel image, screening out the second wheel image whose image brightness exceeds a preset brightness range from the plurality of third wheel images; The image acquisition moments of the target wheel images are clustered to obtain a target time period within a second time period, the first time period includes a plurality of second time periods, and the target wheel images are wheel images whose image acquisition moments are within the same second time period.

7. An information processing device, characterized in that: The device comprises: An acquisition module, used to acquire first wheel information of a wheel to be installed, wherein the first wheel information includes tire information and wheel hub information; A sending module is used to send the first wheel information to the manufacturing enterprise's production process execution system MES in response to the tire information and the hub information satisfying the wheel matching condition, so that the MES can compare the first wheel information with the second wheel information, and the second wheel information is the wheel information that matches the target vehicle.

8. An electronic device, characterized in that: The apparatus comprises a processor and a memory storing computer program instructions; The processor reads and executes the computer program instructions to implement the information processing method according to any one of claims 1 to 6.

9. A computer storage medium, characterized in that The computer storage medium stores computer program instructions, and when the computer program instructions are executed by a processor, the information processing method according to any one of claims 1 to 6 is implemented.

10. A vehicle, characterized in that: Include at least one of the following: The information processing device according to claim 7; The electronic device as claimed in claim 8; The computer storage medium of claim 9.

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