Automobile braces installation device and method

Abstract

The present invention discloses an automobile brace installation device and method, belonging to the field of installation control technology. The present invention matches the corresponding automobile braces with the holes to be installed before installation through installation information and feed table information, thereby achieving accurate matching between the braces and the hole positions. Then, during the installation process, the actual output torque is automatically adjusted according to the preset installation torque to achieve the accuracy of the brace installation. Finally, the completed holes and abnormal holes are judged, and the missing holes are identified, thereby preventing missing holes and improving the installation quality and efficiency. The present invention performs corresponding detection and control before, during and after the installation, thereby greatly improving the installation quality and efficiency of the braces and ensuring the safety of the components.

Description

Technical Field

[0001] The present invention relates to the technical field of installation control, in particular to an automobile braces installation device and a method thereof. Background Art

[0002] Automotive sockets, also known as threaded sockets, threaded sockets, wire threaded sockets, etc., are precision components used to enhance or repair threaded holes. They are usually made of high-strength, high-corrosion-resistant stainless steel materials. They can effectively improve the reliability and service life of threaded connections. In the automotive industry, automotive sockets are widely used.

[0003] Therefore, the automated installation technology of automotive braces is also very important among various technologies in the automotive industry. However, in existing installation methods or equipment, only real-time parameter identification and control are performed during the screw-in installation process of the braces, and analysis of the pre-installation and post-installation links cannot be performed. That is, the existing technology is unable to detect, match and control the entire process of braces installation, which leads to insufficient installation quality and efficiency, and ultimately insufficient safety performance of automotive components. Summary of the Invention

[0004] The present invention aims to solve the technical problems existing in the prior art and provides a method for installing automotive braces, comprising the following steps:

[0005] Obtaining installation information and feeding platform information, wherein the installation information includes a first image of each automotive brace component to be installed and mounting hole information, the mounting hole information including the required number of mounting holes and hole position information of each mounting hole, the corresponding matching automotive brace model, a preset installation torque, and a preset installation depth; and the feeding platform information includes position information of the location where each automotive brace model is stored in the feeding platform;

[0006] Obtain a second image of the current component, obtain the corresponding mounting hole information through image recognition technology, and match the corresponding automotive braces to the current mounting hole in combination with the feeder table information;

[0007] During the installation of automotive braces, the actual output torque of the braces screw-in device is obtained in real time through the torque sensor, and adjusted according to the preset installation torque of the current installation hole;

[0008] After the current car braces are installed, the hole progress type of the corresponding installation hole is determined according to the actual installation depth of the current car braces and the preset installation depth of the corresponding installation hole. The hole progress type includes a completed hole and an abnormal hole.

[0009] Based on the required number of installation holes, the number of completed holes and the number of abnormal holes of the current component, determine whether there are any missing holes. If so, the positions of the completed holes and the hole position information of the abnormal holes are excluded based on the installation hole information of the current component, and the remaining hole position information is used as the missing hole positions. The automotive braces are installed based on the missing hole positions.

[0010] Furthermore, the second image of the current component is obtained, the corresponding mounting hole information is obtained through image recognition technology, and the corresponding automotive braces are matched to the current mounting hole in combination with the feeder table information, specifically:

[0011] Matching the second image of the current component with the corresponding first image, and obtaining the mounting hole information of the current component according to the first image;

[0012] According to the car braces model that matches the current installation hole, obtain the location information of the corresponding storage position in the feeding table;

[0013] According to the position information, the automotive braces are automatically clamped from the feeding table and inserted into the braces screw-in device, and the automotive braces are installed on the current hole to be installed according to the hole position information of the current hole to be installed.

[0014] Furthermore, the braces screwing device is a screw sleeve installer in the form of a mechanical arm, which is used to screw the automotive braces into the installation hole for installation.

[0015] Furthermore, the matching of the second image of the current component with the corresponding first image is specifically as follows:

[0016] extracting corresponding structural feature vectors from the second image and each of the first images respectively through edge detection;

[0017] Extracting corresponding texture feature vectors from the second image and each first image respectively through a gray level co-occurrence matrix;

[0018] Calculating the Euclidean distance J1 between the structural feature vector of the second image and the structural feature vectors of each first image respectively;

[0019] Calculating the Euclidean distance J2 between the texture feature vector of the second image and the texture feature vectors of each first image respectively;

[0020] Calculate the feature root mean square RMS between the second image and each first image respectively, , where i represents the i-th first image;

[0021] The first image corresponding to the largest feature root mean square RMS is matched with the second image of the current component.

[0022] Furthermore, the torque sensor is calibrated, and the specific calibration steps are:

[0023] Obtain N historical output torques of the torque sensor and the corresponding N historical actual torques as training data and input them into the BP neural network for iterative training;

[0024] The weights and thresholds of the BP neural network are updated in each iteration through the particle swarm optimization algorithm;

[0025] If the number of iterations reaches the first preset number of iterations, the iteration is completed to obtain the optimized BP neural network;

[0026] The output torque of the torque sensor is input into the optimized BP neural network to obtain the actual output torque.

[0027] Furthermore, the adjustment is performed according to the preset installation torque of the current installation hole, specifically:

[0028] Calculate the difference between the actual output torque and the preset installation torque as the torque error;

[0029] If the torque error is greater than the preset error threshold, the PID controller calculates the feedback control signal to adjust the actual output torque.

[0030] Furthermore, after the current car braces are installed, the hole progress type of the corresponding installation hole is determined according to the actual installation depth of the current car braces and the preset installation depth of the corresponding installation hole, specifically:

[0031] The actual installation depth of the current car braces is obtained through displacement sensor analysis, and based on the corresponding preset installation depth, it is judged whether there is an installation abnormality. If there is no abnormality, the corresponding installation hole is marked as a completed hole, and the next installation hole is installed. If it is abnormal, the number of installation abnormalities of the current car braces is calculated. If it is not greater than the preset number threshold, the current car braces are reinstalled. If it is greater than the preset number threshold, the corresponding installation hole is skipped and the corresponding installation hole is marked as an abnormal hole position.

[0032] Furthermore, the actual installation depth of the current car braces is obtained through the displacement sensor analysis, and based on the corresponding preset installation depth, it is determined whether an installation abnormality occurs, specifically by determining whether the absolute value of the difference between the actual installation depth and the corresponding preset installation depth is greater than a preset depth difference threshold. If so, it is an abnormality, otherwise, it is not an abnormality.

[0033] The present invention also provides an automobile braces installation device, comprising:

[0034] A photographing device, used for acquiring a second image of the current component in real time;

[0035] Braces screw-in device, screwing the car braces into the mounting hole;

[0036] feeding table for storing automotive braces;

[0037] An information acquisition module, configured to acquire installation information and feeder station information, wherein the installation information includes a first image of each automotive brace component to be installed and mounting hole information, the mounting hole information including the required number of mounting holes and hole position information of each mounting hole, the corresponding matching automotive brace model, a preset installation torque, and a preset installation depth; and the feeder station information includes location information of each automotive brace model stored in the feeder station;

[0038] A matching module is used to obtain corresponding mounting hole information based on the second image of the current component through image recognition technology, and match the corresponding automotive braces to the current mounting hole in combination with the feeder table information;

[0039] The adjustment module is used to obtain the actual output torque of the braces screw-in device in real time through the torque sensor during the installation of automotive braces, and adjust it according to the preset installation torque of the current installation hole;

[0040] a judgment module, configured to judge, after the current automotive braces are installed, the hole progress type of the corresponding mounting hole based on the actual installation depth of the current automotive braces and the preset installation depth of the corresponding mounting hole, wherein the hole progress type includes a completed hole and an abnormal hole;

[0041] The anti-leakage module determines whether there are any missing holes based on the required number of installation holes, the number of completed holes and the number of abnormal holes of the current component. If so, the positions of the completed holes and the hole position information of the abnormal holes are excluded based on the installation hole information of the current component, and the remaining hole position information is used as the missing hole position. The automotive braces are installed based on the missing hole position.

[0042] Furthermore, the second image of the current component is used to obtain the corresponding mounting hole information through image recognition technology, and the corresponding automotive braces are matched to the current mounting hole in combination with the feeder table information, specifically:

[0043] Matching the second image of the current component with the corresponding first image, and obtaining the mounting hole information of the current component according to the first image;

[0044] According to the car braces model that matches the current installation hole, obtain the location information of the corresponding storage position in the feeding table;

[0045] According to the position information, the automotive braces are automatically clamped from the feeding table and inserted into the braces screw-in device, and the automotive braces are installed on the current hole to be installed according to the hole position information of the current hole to be installed.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] The present invention uses installation information and feed table information to match the corresponding automotive braces to the holes to be installed before installation, thereby achieving accurate matching between the braces and the hole positions. During the installation process, the actual output torque is automatically adjusted according to the preset installation torque to achieve accurate brace installation. Finally, the completed holes and abnormal holes are judged, and the missing holes are identified to prevent missing holes and improve installation quality and efficiency. The present invention performs corresponding detection and control before, during and after installation, which greatly improves the installation quality and efficiency of the braces and ensures the safety of the components. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0050] Figure 1 The present invention is a flow chart of a method for installing automobile braces. DETAILED DESCRIPTION

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0052] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0053] In addition, the descriptions of "first", "second", etc. in the present invention are for descriptive purposes only and should not be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions between the various embodiments can be combined with each other, but this must be based on the fact that they can be implemented by ordinary technicians in this field. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0054] Example 1

[0055] See Figure 1 As shown, the present invention provides a method for installing automotive braces, which specifically includes the following steps:

[0056] S1. Obtain installation information and feeding station information;

[0057] The installation information includes a first image of each automotive brace component to be installed and installation hole information;

[0058] The mounting hole information includes the required number of mounting holes, the hole position information of each mounting hole, the corresponding matching car braces model, the preset mounting torque and the preset mounting depth;

[0059] The feeding station information includes the location information of each car braces model stored in the feeding station;

[0060] S2. Obtain a second image of the current component, obtain corresponding mounting hole information through image recognition technology, and match the current mounting hole with the corresponding automotive brace in combination with the feeder table information;

[0061] S3. During the installation of automotive braces, the actual output torque of the braces screw-in device is obtained in real time through the torque sensor, and the torque is adjusted according to the preset installation torque of the current installation hole;

[0062] S4. After the current automotive braces are installed, the hole progress type of the corresponding installation hole is determined based on the actual installation depth of the current automotive braces and the preset installation depth of the corresponding installation hole, where the hole progress type includes a completed hole and an abnormal hole;

[0063] S5. Determine whether there are any missing holes based on the required number of mounting holes, the number of completed holes, and the number of abnormal holes of the current component. If so, exclude the positions of the completed holes and the hole position information of the abnormal holes based on the mounting hole information of the current component, and use the remaining hole position information as the missing hole positions. Install the automotive braces based on the missing hole positions.

[0064] The first image is an image captured and stored in advance, and the second image is an image captured in real time.

[0065] In step S2, the second image of the current component is obtained, the corresponding mounting hole information is obtained through image recognition technology, and the corresponding automotive braces are matched to the current mounting hole in combination with the feeder table information, specifically:

[0066] T1. Match the second image of the current component with the corresponding first image, and obtain the mounting hole information of the current component based on the first image;

[0067] T2. According to the car braces model that matches the current installation hole, obtain the location information of the corresponding storage position in the feeding table;

[0068] T3. Automatically pick up the automotive tooth braces from the feeding table and insert them into the tooth braces screw-in device according to the position information, and install the automotive tooth braces on the current hole to be installed according to the hole position information of the current hole to be installed.

[0069] The threaded sleeve screwing device is a threaded sleeve installer in the form of a mechanical arm, which is used to screw the threaded sleeve (i.e., the automotive threaded sleeve) into the installation hole to complete the installation of the threaded sleeve.

[0070] In step T1, the second image of the current component is matched with the corresponding first image, specifically:

[0071] U1, extracting corresponding structural feature vectors from the second image and each first image respectively through edge detection;

[0072] U2, extracting corresponding texture feature vectors from the second image and each first image respectively through the gray level co-occurrence matrix;

[0073] U3, respectively calculating the Euclidean distance J1 between the structural feature vector of the second image and the structural feature vectors of each first image;

[0074] U4. Calculate the Euclidean distance J2 between the texture feature vector of the second image and the texture feature vectors of each first image respectively;

[0075] U5. Calculate the feature root mean square RMS between the second image and each first image respectively. , where i represents the i-th first image;

[0076] U6. Match the first image corresponding to the largest feature root mean square RMS with the second image of the current component.

[0077] In step S3, the torque sensor is calibrated. The specific calibration steps are:

[0078] Obtain N historical output torques of the torque sensor and the corresponding N historical actual torques as training data and input them into the BP neural network for iterative training;

[0079] The weights and thresholds of the BP neural network are updated in each iteration through the particle swarm optimization algorithm;

[0080] If the number of iterations reaches the first preset number of iterations, the iteration is completed to obtain the optimized BP neural network;

[0081] The output torque of the torque sensor is input into the optimized BP neural network to obtain the actual output torque.

[0082] The adjustment is performed according to the preset installation torque of the current installation hole, specifically:

[0083] Calculate the torque error based on the actual output torque and the preset installation torque, that is, the difference between the actual output torque and the preset installation torque;

[0084] If the torque error is greater than the preset error threshold, the PID controller calculates the feedback control signal to adjust the actual output torque.

[0085] In step S4, after the current car braces are installed, the hole progress type of the corresponding mounting hole is determined according to the actual installation depth of the current car braces and the preset installation depth of the corresponding mounting hole, specifically:

[0086] The actual installation depth of the current car braces is obtained through displacement sensor analysis, and based on the corresponding preset installation depth, it is judged whether there is an installation abnormality. If there is no abnormality, the corresponding installation hole is marked as a completed hole, and the next installation hole is installed. If it is abnormal, the number of installation abnormalities of the current car braces is calculated. If it is not greater than the preset number threshold, the current car braces are reinstalled. If it is greater than the preset number threshold, the corresponding installation hole is skipped and the corresponding installation hole is marked as an abnormal hole position.

[0087] The actual installation depth of the current automotive braces is obtained through displacement sensor analysis, and based on the corresponding preset installation depth, it is determined whether an installation abnormality occurs. Specifically, it is determined whether the absolute value of the difference between the actual installation depth and the corresponding preset installation depth is greater than a preset depth difference threshold. If so, it is an abnormality, otherwise, it is not an abnormality.

[0088] In step S4 and step S5, the following steps are included:

[0089] If the number of abnormal holes is greater than or equal to the predicted abnormal hole number threshold, an alarm message is sent.

[0090] Example 2

[0091] The present invention provides an automobile braces installation device, specifically comprising:

[0092] A photographing device, used for acquiring a second image of the current component in real time;

[0093] Braces screw-in device, screwing the car braces into the mounting hole;

[0094] feeding table for storing automotive braces;

[0095] An information acquisition module, configured to acquire installation information and feeder station information, wherein the installation information includes a first image of each automotive brace component to be installed and mounting hole information, the mounting hole information including the required number of mounting holes and hole position information of each mounting hole, the corresponding matching automotive brace model, a preset installation torque, and a preset installation depth; and the feeder station information includes location information of each automotive brace model stored in the feeder station;

[0096] A matching module is used to obtain corresponding mounting hole information based on the second image of the current component through image recognition technology, and match the corresponding automotive braces to the current mounting hole in combination with the feeder table information;

[0097] The adjustment module is used to obtain the actual output torque of the braces screw-in device in real time through the torque sensor during the installation of automotive braces, and adjust it according to the preset installation torque of the current installation hole;

[0098] a judgment module, configured to judge, after the current automotive braces are installed, the hole progress type of the corresponding mounting hole based on the actual installation depth of the current automotive braces and the preset installation depth of the corresponding mounting hole, wherein the hole progress type includes a completed hole and an abnormal hole;

[0099] The anti-leakage module determines whether there are any missing holes based on the required number of installation holes, the number of completed holes and the number of abnormal holes of the current component. If so, the positions of the completed holes and the hole position information of the abnormal holes are excluded based on the installation hole information of the current component, and the remaining hole position information is used as the missing hole position. The automotive braces are installed based on the missing hole position.

[0100] The specific implementation methods or steps of the above modules correspond to the method in Example 1 and will not be repeated here.

[0101] The system also includes an alarm module for generating an alarm message when the number of abnormal holes is greater than or equal to a predicted abnormal hole number threshold.

[0102] Example 3

[0103] The present invention also provides an electronic device, comprising: a processor, a sending device, an input device, an output device and a memory. The processor can be implemented as a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit, or one or more integrated circuits, and is used to execute relevant programs to implement the technical solution provided in the embodiments of the present application. The memory can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device or a random access memory (RAM), and is used to store computer program code. The computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes a method as described in any of the above possible implementation methods.

[0104] Example 4

[0105] The present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes a method as described in any one of the possible implementation methods described above.

[0106] The beneficial effects of the present invention are:

[0107] The present invention uses installation information and feed table information to match the corresponding automotive braces to the holes to be installed before installation, thereby achieving accurate matching between the braces and the hole positions. During the installation process, the actual output torque is automatically adjusted according to the preset installation torque to achieve accurate brace installation. Finally, the completed holes and abnormal holes are judged, and the missing holes are identified to prevent missing holes and improve installation quality and efficiency. The present invention performs corresponding detection and control before, during and after installation, which greatly improves the installation quality and efficiency of the braces and ensures the safety of the components.

[0108] Throughout the specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0109] In addition, the functional units in the various embodiments of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes multiple instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method of each embodiment of the present application. The aforementioned storage medium includes various media that can store programs, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0110] The foregoing description is intended only to provide specific embodiments of the present invention, which will enable those skilled in the art to understand and implement the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown herein, but is intended to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for installing automotive braces, characterized in that: The following steps are involved: Obtaining installation information and feeding platform information, wherein the installation information includes a first image of each automotive brace component to be installed and mounting hole information, the mounting hole information including the required number of mounting holes and hole position information of each mounting hole, the corresponding matching automotive brace model, a preset installation torque, and a preset installation depth; and the feeding platform information includes position information of the location where each automotive brace model is stored in the feeding platform; Obtain a second image of the current component, obtain the corresponding mounting hole information through image recognition technology, and match the corresponding automotive braces to the current mounting hole in combination with the feeder table information; During the installation of automotive braces, the actual output torque of the braces screw-in device is obtained in real time through the torque sensor, and adjusted according to the preset installation torque of the current installation hole; After the current car braces are installed, the hole progress type of the corresponding installation hole is determined according to the actual installation depth of the current car braces and the preset installation depth of the corresponding installation hole. The hole progress type includes a completed hole and an abnormal hole. According to the number of required mounting holes, the number of completed holes, and the number of abnormal holes of the current component, determine whether there are any missing holes. If so, exclude the positions of the completed holes and the abnormal holes based on the mounting hole information of the current component, and use the remaining hole positions as the missing holes. Then, install the automotive braces based on the missing holes. The method of obtaining a second image of the current component, obtaining corresponding mounting hole information through image recognition technology, and matching the current hole to be installed with the corresponding automotive brace in combination with the information of the feeding table specifically comprises: matching the corresponding first image through the second image of the current component, and obtaining the mounting hole information of the current component according to the first image; obtaining the position information of the corresponding storage position in the feeding table according to the matching automotive brace model of the current hole to be installed; automatically clamping the automotive brace from the feeding table according to the position information and placing it on the brace screw-in device, and installing the automotive brace on the current hole to be installed according to the hole position information of the current hole to be installed; Matching the corresponding first image with the second image of the current component specifically comprises: extracting corresponding structural feature vectors from the second image and each first image respectively through edge detection; extracting corresponding texture feature vectors from the second image and each first image respectively through a gray level co-occurrence matrix; and calculating the Euclidean distance J1 between the structural feature vector of the second image and the structural feature vector of each first image respectively; Calculate the Euclidean distance J2 between the texture feature vector of the second image and the texture feature vector of each first image respectively; calculate the feature root mean square RMS between the second image and each first image respectively, , where i represents the i-th first image; the first image corresponding to the largest feature root mean square RMS is matched with the second image of the current part.

2. The method for installing automotive braces according to claim 1, wherein: The braces screwing device is a screw sleeve installer in the form of a mechanical arm, which is used to screw the automobile braces into the installation hole for installation.

3. The method for installing automotive braces according to claim 1, wherein: The torque sensor includes a calibration The specific calibration steps are as follows: Obtain N historical output torques of the torque sensor and the corresponding N historical actual torques as training data and input them into the BP neural network for iterative training; The weights and thresholds of the BP neural network are updated in each iteration through the particle swarm optimization algorithm; If the number of iterations reaches the first preset number of iterations, the iteration is completed to obtain the optimized BP neural network; The output torque of the torque sensor is input into the optimized BP neural network to obtain the actual output torque.

4. The method for installing automotive braces according to claim 1, wherein: The preset according to the current installation hole The installation torque is adjusted as follows: Calculate the difference between the actual output torque and the preset installation torque as the torque error; If the torque error is greater than the preset error threshold, the PID controller calculates the feedback control signal to adjust the actual output torque.

5. The method for installing automotive braces according to claim 1, wherein: After the current car braces are installed, the hole progress type of the corresponding installation hole is determined according to the actual installation depth of the current car braces and the preset installation depth of the corresponding installation hole, specifically: The actual installation depth of the current car braces is obtained through displacement sensor analysis, and based on the corresponding preset installation depth, it is judged whether there is an installation abnormality. If there is no abnormality, the corresponding installation hole is marked as a completed hole, and the next installation hole is installed. If it is abnormal, the number of installation abnormalities of the current car braces is calculated. If it is not greater than the preset number threshold, the current car braces are reinstalled. If it is greater than the preset number threshold, the corresponding installation hole is skipped and the corresponding installation hole is marked as an abnormal hole position.

6. The method for installing automotive braces according to claim 5, wherein: The actual installation depth of the current automotive braces is obtained through displacement sensor analysis, and based on the corresponding preset installation depth, it is determined whether an installation abnormality occurs. Specifically, it is determined whether the absolute value of the difference between the actual installation depth and the corresponding preset installation depth is greater than a preset depth difference threshold. If so, it is an abnormality, otherwise, it is not an abnormality.

7. An automobile braces installation device, using the automobile braces installation method according to any one of claims 1 to 6, characterized in that: include: A photographing device, used for acquiring a second image of the current component in real time; Braces screw-in device, screwing the car braces into the mounting hole; feeding table for storing automotive braces; An information acquisition module, configured to acquire installation information and feeder station information, wherein the installation information includes a first image of each automotive brace component to be installed and mounting hole information, the mounting hole information including the required number of mounting holes and hole position information of each mounting hole, the corresponding matching automotive brace model, a preset installation torque, and a preset installation depth; and the feeder station information includes location information of each automotive brace model stored in the feeder station; The matching module is used to obtain corresponding mounting hole information based on the second image of the current component through image recognition technology, and match the corresponding automotive brace to the current hole to be installed in combination with the information of the feeding table. Specifically, the module matches the corresponding first image with the second image of the current component, and obtains the mounting hole information of the current component based on the first image; obtains the position information of the corresponding storage position in the feeding table based on the matching automotive brace model of the current hole to be installed; automatically picks up the automotive brace from the feeding table based on the position information and places it on the brace screw-in device, and installs the automotive brace on the current hole to be installed based on the hole position information of the current hole to be installed; Matching the corresponding first image with the second image of the current component specifically comprises: extracting corresponding structural feature vectors from the second image and each first image respectively through edge detection; extracting corresponding texture feature vectors from the second image and each first image respectively through a gray level co-occurrence matrix; and calculating the Euclidean distance J1 between the structural feature vector of the second image and the structural feature vector of each first image respectively; Calculate the Euclidean distance J2 between the texture feature vector of the second image and the texture feature vector of each first image respectively; calculate the feature root mean square RMS between the second image and each first image respectively, , where i represents the i-th first image; the first image corresponding to the largest feature root mean square RMS is matched with the second image of the current part; The adjustment module is used to obtain the actual output torque of the braces screw-in device in real time through the torque sensor during the installation of automotive braces, and adjust it according to the preset installation torque of the current installation hole; a judgment module, configured to judge, after the current automotive braces are installed, the hole progress type of the corresponding mounting hole based on the actual installation depth of the current automotive braces and the preset installation depth of the corresponding mounting hole, wherein the hole progress type includes a completed hole and an abnormal hole; The anti-leakage module determines whether there are any missing holes based on the required number of installation holes, the number of completed holes and the number of abnormal holes of the current component. If so, the positions of the completed holes and the hole position information of the abnormal holes are excluded based on the installation hole information of the current component, and the remaining hole position information is used as the missing hole position. The automotive braces are installed based on the missing hole position.

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