Identification installation method, system and equipment and computer readable storage medium

Abstract

The invention discloses an identification installation method, system and device and a computer readable storage medium, and belongs to the field of automobile identification installation. The vehicle body digital-analog information comprises vehicle body structure data, point location data of a preset positioning point on the vehicle body and distance data between the preset positioning point and a preset identifier mounting position. And collecting a vehicle body image of a real vehicle to obtain actual structure data of the to-be-pasted identification area. And when the structural error between the theoretical structural data and the actual structural data does not exceed a set threshold value, a real positioning point and a real identifier mounting position corresponding to the preset positioning point are selected on the real vehicle according to the structural error, and an identifier is mounted through the mechanical arm. Real positioning points can be selected on a real vehicle, the difference between the structure and position of the real vehicle on an assembly line and theoretical values is made up, the identification is automatically pasted to the real identification installation position through the mechanical arm, automation is achieved in the whole process, a traditional positioning tool is not depended on, and pasting efficiency and accuracy are improved.

Description

Technical Field

[0001] The present application relates to the field of automobile logo installation, and in particular to a logo installation method, system, device and computer-readable storage medium. Background Art

[0002] The automobile brand logo is an intangible carrier of an enterprise. It can increase the capital value of the enterprise, obtain profits, and has a far-reaching impact and significance on the enterprise.

[0003] The existing automobile logo pasting mainly uses positioning tooling for auxiliary pasting. Specifically, the positioning tooling is provided with a logo installation position, which is a groove whose shape matches the appearance of the logo. The logo is manually picked up from the material rack and installed on the logo installation position. Then, the positioning tooling and the car body are adsorbed together by the magnet on the positioning tooling, and the logo is pasted on the car body, thereby completing the pasting of the logo.

[0004] The existing label pasting technology has the following disadvantages:

[0005] 1. Affected by the production rhythm, manual labor is required to pick up the labels back and forth and move from the material rack to the vehicle body to paste the relevant labels. The labor intensity is high, and the quality and stability of label pasting are relatively high.

[0006] 2. Nowadays, the frequency of vehicle model updates and iterations is getting faster and faster, and more and more vehicle models are being integrated into the final assembly line. In addition, the unique vehicle characteristics of each vehicle model have inconsistent requirements for the positioning tooling of the logo. Therefore, there are more and more positioning tooling, and the difficulty of manually identifying the positioning tooling is getting higher and higher, which makes it easy to use it incorrectly.

[0007] 3. In order to put the logo into the positioning tooling, the positioning tooling and the logo are often matched with a gap, resulting in low positioning accuracy and the logo is skewed, which in turn affects the corporate image.

[0008] 4. It is difficult to accurately align the curved body with the curved positioning tooling, resulting in low positioning accuracy and skewed logos, which in turn affects the corporate image.

[0009] 5. The existing plastic tailgate cannot be adsorbed by the magnet on the positioning tool due to its material. Therefore, it is not feasible to use the positioning tool to stick the logo on the plastic car body. Summary of the invention

[0010] The present application provides a logo installation method, system, device and computer-readable storage medium, which can solve the technical problem of difficulty in installing vehicle logos in the prior art.

[0011] In a first aspect, an embodiment of the present application provides a method for installing a logo, the method comprising:

[0012] Collecting the model information of the actual vehicle, and obtaining the body digital model information according to the model information, wherein the body digital model information includes body structure data, point data of preset positioning points on the body, and distance data between the preset positioning points and the preset logo installation positions, wherein the body structure data is the theoretical structure data of the area on the body where the logo is to be pasted;

[0013] Collecting a body image of a real vehicle, performing image analysis based on the body image, and obtaining actual structural data of the area to be pasted with the logo;

[0014] When the structural error between the theoretical structural data and the actual structural data does not exceed a set threshold, a real positioning point corresponding to the preset positioning point is selected on the actual vehicle according to the structural error, and a real logo installation position corresponding to the preset logo installation position is selected in combination with the real positioning point and the distance data, and the logo is installed at the real logo installation position by a robotic arm.

[0015] In combination with the first aspect, in one embodiment, the method includes:

[0016] According to the preset interval period, obtain the current and most recent vehicle model information and the corresponding vehicle body digital model information, and store them in the vehicle model database;

[0017] After collecting the model information of the actual vehicle, the corresponding body digital model information is retrieved from the model database.

[0018] In combination with the first aspect, in one embodiment, the method includes:

[0019] The label on the actual vehicle is scanned using radio frequency identification to obtain the vehicle model information.

[0020] In combination with the first aspect, in one implementation, the structural error is a contour error and / or a position error;

[0021] The contour error is the error between the theoretical vehicle body contour and the actual vehicle body contour when the theoretical vehicle body contour corresponding to the theoretical result structure data is inconsistent with the actual vehicle body contour corresponding to the actual structure data;

[0022] The position error is a position offset between a theoretical vehicle body contour and an actual vehicle body contour when the theoretical vehicle body contour corresponding to the theoretical result structure data is consistent with the actual vehicle body contour corresponding to the actual structure data.

[0023] In combination with the first aspect, in one implementation, the method further includes:

[0024] When the position error exceeds a set threshold, adjusting the position of the image acquisition device to acquire the vehicle body image again;

[0025] If it is determined that the structural error does not exceed the set threshold value according to the vehicle body image collected again, a real positioning point corresponding to the preset positioning point is selected on the actual vehicle according to the structural error, and a real logo installation position corresponding to the preset logo installation position is selected in combination with the real positioning point and the distance data, and the logo is installed to the real logo installation position by the mechanical arm;

[0026] If the structural error is judged to exceed the set threshold according to the re-collected vehicle body image, an alarm message is output.

[0027] In combination with the first aspect, in one implementation, the mechanical arm installs the mark to the real mark installation position, specifically including the following steps:

[0028] After the robotic arm picks up the logo matching the vehicle model information from the rack, it tears off the protective film on the back of the logo, and sticks the back of the logo to the real logo installation position according to the real positioning point and distance data.

[0029] In combination with the first aspect, in one implementation, the method further includes:

[0030] After installing the logo in the real logo installation position, collect the actual overall image of the real vehicle and the logo;

[0031] The actual overall image is compared with the theoretical overall image contained in the vehicle model information. If the comparison result is as expected, the installation is judged to be qualified. If the comparison result is inconsistent, the installation is judged to be unqualified. The comparison result includes the comparison result of the logo shape and the comparison result of the relative position of the logo and the vehicle body.

[0032] In a second aspect, an embodiment of the present application provides a sign installation system, the sign installation system comprising:

[0033] A data acquisition device, which is used to collect vehicle model information of a real vehicle, and obtain vehicle body digital model information according to the vehicle model information, wherein the vehicle body digital model information includes vehicle body structure data, point data of preset positioning points on the vehicle body, and distance data between the preset positioning points and the preset logo installation positions, wherein the vehicle body structure data is theoretical structure data of the area on the vehicle body where the logo is to be pasted;

[0034] An image acquisition device, which is used to acquire a body image of a real vehicle, perform image analysis based on the body image, and obtain actual structural data of the area to be labeled;

[0035] The robotic arm is used to select a real positioning point corresponding to the preset positioning point on the actual vehicle according to the structural error when the structural error between the theoretical structural data and the actual structural data does not exceed a set threshold value, and select a real logo installation position corresponding to the preset logo installation position in combination with the real positioning point and distance data, and install the logo to the real logo installation position through the robotic arm.

[0036] In a third aspect, an embodiment of the present application provides an identification installation device, which includes a processor, a memory, and an identification installation program stored in the memory and executable by the processor, wherein when the identification installation program is executed by the processor, the steps of the identification installation method are implemented.

[0037] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which an identification installation program is stored, wherein when the identification installation program is executed by a processor, the steps of the identification installation method are implemented.

[0038] The beneficial effects brought by the technical solution provided by the embodiments of the present application include:

[0039] By collecting vehicle model information, the body digital model information is automatically retrieved. The body digital model information contains body structure data and point data and distance data of preset positioning points used to position the logo. By collecting body images for image analysis, the theoretical structural data of the body structure contained in the body digital model information and the actual structural data of the body structure obtained by image analysis are compared, so as to select the real positioning point on the real vehicle to make up for the difference between the structure and position of the real vehicle on the assembly line and the theoretical value. The logo is automatically pasted on the real logo installation position by a robotic arm. The whole process of logo pasting is automated, does not rely on traditional positioning tooling, and improves pasting efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a flow chart of an embodiment of a method for installing a logo of the present application.

[0041] Figure 2 This is a schematic diagram of the architecture of an embodiment of the identification installation system of the present application.

[0042] Figure 3 This is a schematic diagram of the hardware structure of the identification installation device involved in the embodiment of the present application. DETAILED DESCRIPTION

[0043] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0044] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0045] In a first aspect, an embodiment of the present application provides a method for installing a logo.

[0046] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the identification installation method of this application. Figure 1 As shown, the identification installation method includes:

[0047] Step S1, collect the model information of the actual vehicle, and obtain the body digital model information according to the model information. The body digital model information includes body structure data, point data of preset positioning points on the body, and distance data between the preset positioning points and the preset logo installation positions. The body structure data is the theoretical structure data of the area on the body where the logo is to be pasted.

[0048] Step S2: collecting a body image of a real vehicle, performing image analysis based on the body image, and obtaining actual structural data of the area to be pasted with the logo.

[0049] Step S3: When the structural error between the theoretical structural data and the actual structural data does not exceed the set threshold, a real positioning point corresponding to the preset positioning point is selected on the actual vehicle according to the structural error, and a real logo installation position corresponding to the preset logo installation position is selected in combination with the real positioning point and the distance data, and the logo is installed to the real logo installation position by a robotic arm.

[0050] In this embodiment, the preset logo installation position is located in the area where the logo is to be pasted, such as the front area or the rear area of ​​the vehicle. The preset positioning point can be inside the area where the logo is to be pasted or outside the area where the logo is to be pasted. The preset positioning point is an easy-to-find or obvious point on the vehicle body and can be used to assist in locating the preset logo installation position.

[0051] The vehicle model information is the theoretical data of the vehicle when it is designed, representing the theoretical structure of the vehicle body. In practice, after the vehicle production is organized according to the vehicle model information, due to reasons such as the process level, the actual structure of the vehicle body on the assembly line may have errors with the theoretical structure of the vehicle when it is designed. It is difficult to find the accurate logo installation position on the actual vehicle based on the digital model information of the vehicle body when it is designed. Therefore, after extracting the actual structural data of the area to be pasted with the logo from the vehicle body image, the actual structural data of the area to be pasted with the logo is compared with the theoretical structural data. If the structural error does not exceed the set threshold, it means that the actual structure of the area to be pasted with the logo is not much different from the theoretical structure, and is within a reasonable range. For example, the actual area to be pasted with the logo is reduced in proportion to the theoretical area to be pasted with the logo. Then, according to the point data of the preset positioning point on the theoretical vehicle body, the corresponding real positioning point is found on the actual vehicle body. According to the structural data between the preset positioning point and the preset logo installation position, the real logo installation position is derived, so as to find the accurate installation position of the logo on the actual vehicle. Finally, the robot automatically picks up the label and pastes it to the real logo installation position, so as to realize automatic, efficient and accurate logo installation.

[0052] In addition, the installation positions of the image acquisition device and the identification pasting device are installed according to the ideal position. The positions of the image acquisition device and the identification pasting device are relatively fixed, and the frequency of position adjustment will not be very high. The aforementioned ideal position is the installation position of the image acquisition device and the identification pasting device when the ideal body structure that fully conforms to the body digital model information is accurately placed on the assembly line. When the image acquisition device and the identification pasting device are installed in the ideal position, the image acquisition device can capture the body area to be pasted with the identification located in the center of the image and fully expose the area to be pasted. The mechanical arm can pick up the identification according to the shortest action route and paste the identification inside the area to be pasted. The installation position represents the installation position. In reality, the placement positions of each vehicle on the assembly line, such as its height, left and right positions, are not fixed, and there are certain deviations, resulting in a certain deviation between the body image captured by the image acquisition device and the ideal body image. The captured body image may not contain the complete area to be pasted, and may not contain positioning points. Therefore, it is difficult to find the identification installation position. Therefore, after extracting the actual structural data of the area to be pasted with the logo from the vehicle body image, the actual structural data of the area to be pasted with the logo is compared with the theoretical structural data. Only when the structural error does not exceed the set threshold, that is, when the area to be pasted with the logo is completely collected, the corresponding real positioning point is found on the actual vehicle body according to the point data of the preset positioning point on the theoretical vehicle body, and the real logo installation position is deduced according to the structural data between the preset positioning point and the preset logo installation position, so as to find the accurate installation position of the logo on the actual vehicle. Finally, the label is automatically picked up by the robotic arm and pasted to the real logo installation position, so as to realize automatic, efficient and accurate logo installation.

[0053] In summary, this solution automatically retrieves the body digital model information by collecting vehicle model information. The body digital model information contains body structure data and point data and distance data of preset positioning points used to position the logo. By collecting body images for image analysis, the theoretical structural data of the body structure contained in the body digital model information and the actual structural data of the body structure obtained by image analysis are compared, so as to select the real positioning point on the real vehicle, make up for the difference between the structure and position of the real vehicle on the assembly line and the theoretical value, and automatically paste the logo on the real logo installation position through the robotic arm. The whole process of logo pasting is automated, does not rely on traditional positioning tooling, and improves pasting efficiency and accuracy.

[0054] Furthermore, in one embodiment, the method includes:

[0055] According to the preset interval period, the current and most recent vehicle model information and the corresponding vehicle body digital model information are obtained and stored in the vehicle model database.

[0056] After collecting the model information of the actual vehicle, the corresponding body digital model information is retrieved from the model database.

[0057] In this embodiment, the technical center server and the local server establish a data transmission channel through a communication protocol. The data upload of the digital model of the whole vehicle is uploaded to the technical center server through the background operation server, and then downloaded from the technical center server to the local server by the local server. The digital model of the whole vehicle must be accurate, and must be verified in the trial production stage and be the latest digital model after the design change, which is in a frozen state. The digital model of the whole vehicle must be real-time, that is, the design changes after mass production cause changes in the appearance and structure of the digital model. The time for the background update and upload of the digital model should be consistent with the time of part switching. The digital model of the whole vehicle requires completeness, and must include the digital models of all parts on the whole vehicle without any missing parts.

[0058] Furthermore, in one embodiment, the method includes:

[0059] The above vehicle model information is obtained by scanning the label on the actual vehicle using radio frequency identification.

[0060] In this embodiment, a tag is set in the actual vehicle class, and the vehicle model information can be automatically obtained by scanning the tag through radio frequency identification, thereby realizing automatic post-operation.

[0061] Furthermore, in one embodiment, the structural error is a contour error and / or a position error.

[0062] The above-mentioned contour error is the error between the theoretical vehicle body contour and the actual vehicle body contour when the theoretical vehicle body contour corresponding to the theoretical result structure data is inconsistent with the actual vehicle body contour corresponding to the actual structure data.

[0063] The above position error is a positional offset between a theoretical vehicle body contour and an actual vehicle body contour when the theoretical vehicle body contour corresponding to the theoretical result structure data is consistent with the actual vehicle body contour corresponding to the actual structure data.

[0064] In this embodiment, with respect to the contour error, after extracting the actual structural data of the area to be pasted with the logo from the vehicle body image, the actual structural data of the area to be pasted with the logo is compared with the theoretical structural data. If the structural error does not exceed the set threshold, it means that the actual structure of the area to be pasted with the logo is not much different from the theoretical structure and is within a reasonable range. For example, the actual area to be pasted with the logo is proportionally reduced relative to the theoretical area to be pasted with the logo. Then, according to the point data of the preset positioning point on the theoretical vehicle body, the corresponding real positioning point is found on the actual vehicle body. According to the structural data between the preset positioning point and the preset logo installation position, the real logo installation position is derived, thereby finding the accurate installation position of the logo on the actual vehicle. Finally, the label is automatically picked up by a robotic arm and pasted to the real logo installation position, thereby realizing automatic, efficient and accurate logo installation.

[0065] In view of the position error, after extracting the actual structural data of the area to be pasted with the logo from the vehicle body image, the actual structural data of the area to be pasted with the logo is compared with the theoretical structural data. Only when the structural error does not exceed the set threshold, that is, when the area to be pasted with the logo is completely collected, the corresponding real positioning point is found on the actual vehicle body according to the point data of the preset positioning point on the theoretical vehicle body, and the real logo installation position is deduced according to the structural data between the preset positioning point and the preset logo installation position, so as to find the accurate installation position of the logo on the actual vehicle. Finally, the label is automatically picked up by the robotic arm and pasted to the real logo installation position, realizing automatic, efficient and accurate logo installation.

[0066] Furthermore, in one embodiment, the above method further includes:

[0067] When the position error exceeds a set threshold, the position of the image acquisition device is adjusted to acquire the vehicle body image again.

[0068] If the structural error is judged not to exceed the set threshold value based on the re-collected vehicle body image, a real positioning point corresponding to the above-mentioned preset positioning point is selected on the actual vehicle based on the above-mentioned structural error, and the real logo installation position corresponding to the above-mentioned preset logo installation position is selected in combination with the above-mentioned real positioning point and distance data, and the logo is installed to the real logo installation position by a robotic arm.

[0069] If the structural error is judged to exceed the set threshold according to the re-collected vehicle body image, an alarm message is output.

[0070] In this embodiment, if the position error exceeds the preset threshold, it means that the captured vehicle body image does not contain the complete area to be pasted with the logo, and you can try to capture the vehicle body image again by moving the position of the image acquisition device. If the complete area to be pasted with the logo can be captured after the vehicle body image is captured again, you can continue to automatically paste the logo, thereby improving the level of automation.

[0071] Furthermore, in one embodiment, the above-mentioned mechanical arm installs the mark to the real mark installation position, which specifically includes the following steps:

[0072] After the above-mentioned robotic arm picks up the logo matching the vehicle model information from the rack, it tears off the protective film on the back of the logo, and sticks the back of the logo to the real logo installation position according to the real positioning point and distance data.

[0073] In this embodiment, the parts library synchronizes the distribution mark with the vehicle model queue information, and the visual recognition system of the manipulator confirms the appearance and color of the part and compares it with the parts in the database. If there is no abnormality, the suction cup in the manipulator is controlled to grab the part, tear off the protective film in the mark, and stick it to the car body. If there is an abnormality, an alarm is issued for manual processing.

[0074] The trajectory of the robot can be solidified during the vehicle prototype stage, and then automatically corrected and pasted according to the actual vehicle body deviation.

[0075] Furthermore, in one embodiment, the above method further includes:

[0076] After the logo is installed in the real logo installation position, the actual overall image of the real vehicle and the logo is collected.

[0077] The actual overall image is compared with the theoretical overall image contained in the vehicle model information. If the comparison result is consistent with the expectation, the installation is judged to be qualified. If the comparison result is inconsistent, the installation is judged to be unqualified. The above comparison results include the comparison results of the logo shape and the comparison results of the relative position of the logo and the vehicle body.

[0078] In this embodiment, after the label is pasted, a visual inspection is performed on the installed tailgate label to check whether there is any skewness or mis-installation of parts.

[0079] In summary, this application can improve the installation accuracy of tailgate logos, reduce the working time of inspectors, realize automated inspection, and improve the automation rate of the assembly workshop. It can reduce the number of logo positioning tools and reduce the cost of each vehicle. It can also solve the problem that the plastic tailgate pasting tool cannot be adsorbed.

[0080] In a second aspect, an embodiment of the present application also provides a sign installation system.

[0081] In one embodiment, referring to Figure 2 , Figure 2This is a functional module diagram of an embodiment of the identification installation system of this application. Figure 2 As shown, the sign installation system includes:

[0082] The data acquisition device 1 is used to collect the vehicle model information of the actual vehicle, and obtain the vehicle body digital model information according to the vehicle model information. The above-mentioned vehicle body digital model information includes vehicle body structure data, point data of preset positioning points on the vehicle body, and distance data between the preset positioning points and the preset identification installation positions. The above-mentioned vehicle body structure data is the theoretical structure data of the area on the vehicle body where the identification is to be pasted.

[0083] The image acquisition device 2 is used to acquire the body image of the actual vehicle, perform image analysis based on the body image, and obtain the actual structural data of the area to be pasted with the logo.

[0084] The robotic arm 3 is used to select a real positioning point corresponding to the above-mentioned preset positioning point on the actual vehicle according to the above-mentioned structural error when the structural error between the theoretical structural data and the actual structural data does not exceed a set threshold value, and select a real logo installation position corresponding to the above-mentioned preset logo installation position in combination with the above-mentioned real positioning point and distance data, and install the logo to the real logo installation position through the robotic arm 3.

[0085] In this embodiment, the preset logo installation position is located in the area where the logo is to be pasted, such as the front area or the rear area of ​​the vehicle. The preset positioning point can be inside the area where the logo is to be pasted or outside the area where the logo is to be pasted. The preset positioning point is an easy-to-find or obvious point on the vehicle body and can be used to assist in locating the preset logo installation position.

[0086] The vehicle model information is the theoretical data of the vehicle when it is designed, representing the theoretical structure of the vehicle body. In practice, after the vehicle production is organized according to the vehicle model information, due to reasons such as the process level, the actual structure of the vehicle body on the assembly line may have errors with the theoretical structure of the vehicle when it is designed. It is difficult to find the accurate identification installation position on the actual vehicle according to the digital model information of the vehicle body when it is designed. Therefore, after extracting the actual structural data of the area to be pasted with the identification from the vehicle body image, the actual structural data of the area to be pasted with the identification is compared with the theoretical structural data. If the structural error does not exceed the set threshold, it means that the actual structure of the area to be pasted with the identification is not much different from the theoretical structure, and is within a reasonable range. For example, the actual area to be pasted with the identification is reduced in the same proportion relative to the theoretical area to be pasted with the identification. Then, according to the point data of the preset positioning point on the theoretical vehicle body, the corresponding real positioning point is found on the actual vehicle body, and the real identification installation position is derived according to the structural data between the preset positioning point and the preset identification installation position, so as to find the accurate installation position of the identification on the actual vehicle. Finally, the robot arm 3 automatically picks up the label and pastes it to the real identification installation position, so as to realize automatic, efficient and accurate identification installation.

[0087] In addition, the installation positions of the image acquisition device and the identification pasting device are installed according to the ideal position, the positions of the image acquisition device and the identification pasting device are relatively fixed, and the frequency of position adjustment is not very high. The aforementioned ideal position, that is, the installation position of the image acquisition device and the identification pasting device when the ideal body structure that fully conforms to the body digital model information is accurately placed on the assembly line, when the image acquisition device and the identification pasting device are installed in the ideal position, the image acquisition device can capture the body area to be pasted with the identification located in the center of the image and fully expose the area to be pasted, and the mechanical arm 3 can pick up the identification according to the shortest action route and paste the identification in the installation position inside the area to be pasted. In reality, the placement position of each vehicle on the assembly line, such as its height, left and right positions, is not fixed, and there is a certain deviation, resulting in a certain deviation between the body image collected by the image acquisition device and the ideal body image, and the collected body image may not contain the complete area to be pasted, and may not contain positioning points, so it is difficult to find the identification installation position. Therefore, after extracting the actual structural data of the area to be pasted with the logo from the vehicle body image, the actual structural data of the area to be pasted with the logo is compared with the theoretical structural data. Only when the structural error does not exceed the set threshold, that is, when the area to be pasted with the logo is completely collected, the corresponding real positioning point is found on the actual vehicle body according to the point data of the preset positioning point on the theoretical vehicle body, and the real logo installation position is derived according to the structural data between the preset positioning point and the preset logo installation position, so as to find the accurate installation position of the logo on the actual vehicle. Finally, the label is automatically picked up by the robot arm 3 and pasted to the real logo installation position, so as to realize automatic, efficient and accurate logo installation.

[0088] In summary, this solution automatically retrieves the body digital model information by collecting vehicle model information. The body digital model information contains body structure data and point data and distance data of preset positioning points used to position the logo. By collecting body images for image analysis, the theoretical structural data of the body structure contained in the body digital model information and the actual structural data of the body structure obtained by image analysis are compared, so as to select the real positioning point on the real vehicle, make up for the difference between the structure and position of the real vehicle on the assembly line and the theoretical value, and automatically paste the logo on the real logo installation position through the robot arm 3. The whole process of logo pasting is automated, does not rely on traditional positioning tooling, and improves pasting efficiency and accuracy.

[0089] Among them, the functional implementation of each module in the above-mentioned identification installation system corresponds to the various steps in the above-mentioned identification installation method embodiment, and its functions and implementation processes will not be repeated here one by one.

[0090] In a third aspect, an embodiment of the present application provides a logo installation device, which may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0091] Reference Figure 3 , Figure 3 The hardware structure diagram of the identification installation device involved in the embodiment of the present application is shown in FIG. In the embodiment of the present application, the identification installation device may include a processor, a memory, a communication interface, and a communication bus.

[0092] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0093] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces, which are used to interconnect the components inside the identification installation device, and interfaces used to interconnect the identification installation device with other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc. The user device can be a display, a keyboard, etc.

[0094] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0095] The processor may be a general-purpose processor, which may call the identification installation program stored in the memory and execute the identification installation method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the identification installation program is called may refer to the various embodiments of the identification installation method of the present application, which will not be described in detail here.

[0096] Those skilled in the art will understand that Figure 3 The hardware structure shown does not constitute a limitation on the present application, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0097] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0098] The computer-readable storage medium of the present application stores an identification installation program, wherein when the identification installation program is executed by a processor, the steps of the identification installation method as described above are implemented.

[0099] Among them, the method implemented when the identification installation program is executed can refer to the various embodiments of the identification installation method of this application, and will not be repeated here.

[0100] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0101] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0102] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0103] In the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can mean A or B. "And / or" in the text is only a description of the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, "multiple" means two or more than two.

[0104] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0105] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as mentioned above, and includes a number of instructions for a terminal device to execute the above-mentioned methods of each embodiment of the present application.

[0106] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for installing a logo, characterized in that: The method comprises: Collecting the model information of the actual vehicle, and obtaining the body digital model information according to the model information, wherein the body digital model information includes body structure data, point data of preset positioning points on the body, and distance data between the preset positioning points and the preset logo installation positions, wherein the body structure data is the theoretical structure data of the area on the body where the logo is to be pasted; Collecting a body image of a real vehicle, performing image analysis based on the body image, and obtaining actual structural data of the area to be pasted with the logo; When the structural error between the theoretical structural data and the actual structural data does not exceed a set threshold, a real positioning point corresponding to the preset positioning point is selected on the actual vehicle according to the structural error, and a real logo installation position corresponding to the preset logo installation position is selected in combination with the real positioning point and the distance data, and the logo is installed at the real logo installation position by a robotic arm.

2. The identification installation method according to claim 1, characterized in that: The method comprises: According to the preset interval period, obtain the current and most recent vehicle model information and the corresponding vehicle body digital model information, and store them in the vehicle model database; After collecting the model information of the actual vehicle, the corresponding body digital model information is retrieved from the model database.

3. The marking installation method according to claim 1, characterized in that: The method comprises: The label on the actual vehicle is scanned using radio frequency identification to obtain the vehicle model information.

4. The marking installation method according to claim 1, characterized in that: The structural error is a contour error and / or a position error; The contour error is the error between the theoretical vehicle body contour and the actual vehicle body contour when the theoretical vehicle body contour corresponding to the theoretical result structure data is inconsistent with the actual vehicle body contour corresponding to the actual structure data; The position error is a position offset between a theoretical vehicle body contour and an actual vehicle body contour when the theoretical vehicle body contour corresponding to the theoretical result structure data is consistent with the actual vehicle body contour corresponding to the actual structure data.

5. The marking installation method according to claim 4, characterized in that: The method further comprises: When the position error exceeds a set threshold, adjusting the position of the image acquisition device to acquire the vehicle body image again; If it is determined that the structural error does not exceed the set threshold value according to the vehicle body image collected again, a real positioning point corresponding to the preset positioning point is selected on the actual vehicle according to the structural error, and a real logo installation position corresponding to the preset logo installation position is selected in combination with the real positioning point and the distance data, and the logo is installed to the real logo installation position by the mechanical arm; If the structural error is judged to exceed the set threshold according to the re-collected vehicle body image, an alarm message is output.

6. The method for installing a sign according to claim 1, wherein: The mechanical arm installs the mark to the real mark installation position, which specifically includes the following steps: After the robotic arm picks up the logo matching the vehicle model information from the rack, it tears off the protective film on the back of the logo, and sticks the back of the logo to the real logo installation position according to the real positioning point and distance data.

7. The method for installing a logo according to claim 1, characterized in that: The method further comprises: After installing the logo in the real logo installation position, collect the actual overall image of the real vehicle and the logo; The actual overall image is compared with the theoretical overall image contained in the vehicle model information. If the comparison result is as expected, the installation is judged to be qualified. If the comparison result is inconsistent, the installation is judged to be unqualified. The comparison result includes the comparison result of the logo shape and the comparison result of the relative position of the logo and the vehicle body.

8. A sign installation system, characterized in that: The identification installation system comprises: A data acquisition device, which is used to collect vehicle model information of a real vehicle, and obtain vehicle body digital model information according to the vehicle model information, wherein the vehicle body digital model information includes vehicle body structure data, point data of preset positioning points on the vehicle body, and distance data between the preset positioning points and the preset logo installation positions, wherein the vehicle body structure data is theoretical structure data of the area on the vehicle body where the logo is to be pasted; An image acquisition device, which is used to acquire a body image of a real vehicle, perform image analysis based on the body image, and obtain actual structural data of the area to be labeled; The robotic arm is used to select a real positioning point corresponding to the preset positioning point on the actual vehicle according to the structural error when the structural error between the theoretical structural data and the actual structural data does not exceed a set threshold value, and select a real logo installation position corresponding to the preset logo installation position in combination with the real positioning point and distance data, and install the logo to the real logo installation position through the robotic arm.

9. A sign installation device, characterized in that: The identification installation device includes a processor, a memory, and an identification installation program stored in the memory and executable by the processor, wherein when the identification installation program is executed by the processor, the steps of the identification installation method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a logo installation program, wherein when the logo installation program is executed by a processor, the steps of the logo installation method according to any one of claims 1 to 7 are implemented.

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