Automobile tooth socket mounting equipment and method thereof

Abstract

The invention discloses automobile tooth socket mounting equipment and a method thereof, and belongs to the technical field of mounting control. According to mounting information and feeding table information, a corresponding automobile tooth socket is matched with a to-be-mounted hole before mounting, accurate matching between the tooth socket and a hole site is achieved, and the mounting efficiency is improved. The method comprises the following steps: firstly, automatically adjusting an actual output torque according to a preset mounting torque in a mounting process to realize the mounting accuracy of the tooth socket, and finally, judging a finished hole and an abnormal hole, so as to identify a neglected mounting hole position, realize neglected mounting prevention and improve the mounting quality and efficiency. The mounting quality and efficiency of the tooth socket are greatly improved, and the safety of parts is ensured.

Description

Technical Field

[0001] The 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, threaded sleeves, 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 the various technologies in the automotive industry. However, in the existing installation methods or equipment, only real-time parameter identification and control are performed during the screw-in installation process of the braces, and it is impossible to analyze the links before and after installation. 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 leads to insufficient safety performance of automotive components. Summary of the invention

[0004] The present invention is to solve the technical problems existing in the prior art. The present invention provides a method for installing automotive braces, comprising the following steps: Acquire installation information and feeder information, wherein the installation information includes the first image of each required automotive braces component and installation hole information, wherein the installation hole information includes the required number of installation holes and hole position information of each installation hole, the corresponding matching automotive braces model, the preset installation torque and the preset installation depth, and the feeder information includes the position information of the storage position of each automotive braces model in the feeder; Obtain a second image of the current component, obtain corresponding mounting hole information through image recognition technology, and match the corresponding automotive braces for the current mounting hole in combination with the feeder table information; During the installation of automotive braces, the actual output torque of the brace 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, wherein the hole progress type includes a completed hole and an abnormal hole; According to 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, exclude the positions of the completed holes and the hole position information of the abnormal holes based on the installation 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.

[0005] Furthermore, the second image of the current component is obtained, the corresponding installation hole information is obtained by image recognition technology, and the corresponding automotive braces are matched to the current installation hole in combination with the feeder table information, specifically: 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; According to the automobile braces model corresponding to the current hole to be installed, the position information of the corresponding storage position in the feeding table is obtained; The automotive tooth socket is automatically clamped from the feeding table and inserted into the tooth socket screw-in device according to the position information, and the automotive tooth socket is installed on the current hole to be installed according to the hole position information of the current hole to be installed.

[0006] Furthermore, 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.

[0007] Furthermore, the matching of the second image of the current component with the corresponding first image is specifically as follows: Extracting corresponding structural feature vectors from the second image and each of the first images respectively by edge detection; Extracting corresponding texture feature vectors from the second image and each first image respectively through a gray level co-occurrence matrix; respectively calculating the Euclidean distance J1 between the structural feature vector of the second image and the structural feature vectors of each first image; respectively calculating the Euclidean distance J2 between the texture feature vector of the second image and the texture feature vectors of each first image; 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 maximum feature root mean square RMS is matched with the second image of the current part.

[0008] Furthermore, the torque sensor is calibrated, and the specific calibration steps are: 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.

[0009] Furthermore, the adjustment is performed according to the preset installation torque of the current installation hole, specifically: The difference between the actual output torque and the preset installation torque is calculated as the torque error; If the torque error is greater than the preset error threshold, the feedback control signal is calculated by the PID controller to adjust the actual output torque.

[0010] 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: The actual installation depth of the current car braces is obtained through displacement sensor analysis, and according to 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.

[0011] Furthermore, the actual installation depth of the current automobile 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.

[0012] The present invention also provides an automobile braces installation device, comprising: A photographing device, used for acquiring a second image of the current component in real time; Braces screw-in device, screw the car braces into the installation hole; A feeding table for storing automotive braces; An information acquisition module, used to acquire installation information and feeder information, wherein the installation information includes the first image of each required automotive braces component and the installation hole information, wherein the installation hole information includes the required number of installation holes and the hole position information of each installation hole, the corresponding matching automotive braces model, the preset installation torque and the preset installation depth, and the feeder information includes the location information of each automotive braces model stored in the feeder; A matching module, used to obtain corresponding installation hole information through image recognition technology according to the second image of the current component, and match the corresponding automotive braces for the current hole to be installed in combination with the feeder table information; The adjustment module is used to obtain the actual output torque of the brace screw-in device in real time through the torque sensor during the installation of the automotive brace, and adjust it according to the preset installation torque of the current installation hole; A judgment module, used for judging the hole progress type of the corresponding installation hole according to the actual installation depth of the current automobile braces and the preset installation depth of the corresponding installation hole after the current automobile braces are installed, 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 positions. The automotive braces are installed based on the missing hole positions.

[0013] Furthermore, the corresponding installation hole information is obtained by image recognition technology according to the second image of the current component, and the corresponding automotive braces are matched to the current installation hole in combination with the feeder table information, specifically: 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; According to the automobile braces model corresponding to the current hole to be installed, the position information of the corresponding storage position in the feeding table is obtained; The automotive tooth socket is automatically clamped from the feeding table and inserted into the tooth socket screw-in device according to the position information, and the automotive tooth socket is installed on the current hole to be installed according to the hole position information of the current hole to be installed.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention matches the corresponding automotive braces to 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. The actual output torque is automatically adjusted according to the preset installation torque during the installation process to achieve the accuracy of the braces installation. Finally, the completed holes and abnormal holes are judged, and the missing holes are identified to prevent missing holes and improve 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] 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. In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0016] Figure 1 The present invention is a flow chart of a method for installing automotive braces. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] 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 components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0019] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot 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" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0020] Embodiment 1 See also Figure 1 As shown, the present invention provides a method for installing automotive braces, which specifically includes the following steps: S1. Obtain installation information and feeding station information; The installation information includes the first image and installation hole information of each automotive brace component to be installed; The mounting hole information includes the number of required mounting holes, the hole position information of each mounting hole, the corresponding matching automotive braces model, the preset mounting torque and the preset mounting depth; The feed station information includes the location information of each automotive braces model stored in the feed station; S2, obtaining a second image of the current component, obtaining corresponding installation hole information through image recognition technology, and matching the corresponding automotive braces for the current installation hole in combination with the feeder table information; S3. During the installation of the 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; S4, after the current automotive braces are installed, according to the actual installation depth of the current automotive braces and the preset installation depth of the corresponding installation hole, the hole progress type of the corresponding installation hole is determined, and the hole progress type includes a completed hole and an abnormal hole; S5. Determine 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, exclude the positions of the completed holes and the hole position information of the abnormal holes based on the installation 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.

[0021] The first image is an image captured in advance and stored in advance, and the second image is an image captured in real time.

[0022] In step S2, the second image of the current component is obtained, the corresponding installation hole information is obtained by image recognition technology, and the corresponding automotive braces are matched to the current installation hole in combination with the feeder table information, specifically: T1, 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; T2. According to the automobile braces model corresponding to the current installation hole, obtain the location information of the corresponding storage position in the feeding table; T3. Automatically pick up the automotive tooth socket from the feeding table and insert it into the tooth socket screw-in device according to the position information, and install the automotive tooth socket on the current hole to be installed according to the hole position information of the current hole to be installed.

[0023] 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.

[0024] In step T1, the second image of the current component is matched with the corresponding first image, specifically: U1, extracting corresponding structural feature vectors from the second image and each first image respectively through edge detection; U2, extracting corresponding texture feature vectors from the second image and each first image respectively through the gray level co-occurrence matrix; U3, respectively calculating the Euclidean distance J1 between the structural feature vector of the second image and the structural feature vector of each first image; U4, respectively calculating the Euclidean distance J2 between the texture feature vector of the second image and the texture feature vectors of each first image; U5, respectively calculate the feature root mean square RMS between the second image and each first image, , where i represents the i-th first image; U6. Match the first image corresponding to the largest feature root mean square RMS with the second image of the current component.

[0025] In step S3, the torque sensor is calibrated, and the specific calibration steps are: 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.

[0026] The adjustment is performed according to the preset installation torque of the current installation hole, specifically: 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; If the torque error is greater than the preset error threshold, the feedback control signal is calculated by the PID controller to adjust the actual output torque.

[0027] In step S4, 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 according to 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.

[0028] The actual installation depth of the current automobile 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.

[0029] In step S4 and step S5, the following steps are included: If the number of abnormal holes is greater than or equal to the predicted abnormal hole number threshold, an alarm message is sent.

[0030] Embodiment 2 The present invention provides an automobile braces installation device, which specifically comprises: A photographing device, used for acquiring a second image of the current component in real time; Braces screw-in device, screw the car braces into the installation hole; A feeding table for storing automotive braces; An information acquisition module, used to acquire installation information and feeder information, wherein the installation information includes the first image of each required automotive braces component and the installation hole information, wherein the installation hole information includes the required number of installation holes and the hole position information of each installation hole, the corresponding matching automotive braces model, the preset installation torque and the preset installation depth, and the feeder information includes the location information of each automotive braces model stored in the feeder; A matching module, used to obtain corresponding installation hole information through image recognition technology according to the second image of the current component, and match the corresponding automotive braces for the current hole to be installed in combination with the feeder table information; The adjustment module is used to obtain the actual output torque of the brace screw-in device in real time through the torque sensor during the installation of the automotive brace, and adjust it according to the preset installation torque of the current installation hole; A judgment module, used for judging the hole progress type of the corresponding installation hole according to the actual installation depth of the current automobile braces and the preset installation depth of the corresponding installation hole after the current automobile braces are installed, 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 positions. The automotive braces are installed based on the missing hole positions.

[0031] The specific implementation methods or steps of the above modules correspond to the method in Example 1 and will not be repeated here.

[0032] 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.

[0033] Embodiment 3 The present invention also provides an electronic device, including: a processor, a sending device, an input device, an output device and a memory. The processor can be implemented by 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 embodiment 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.

[0034] Embodiment 4 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 possible implementation manner.

[0035] The beneficial effects of the present invention are: The present invention matches the corresponding automotive braces to 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. The actual output torque is automatically adjusted according to the preset installation torque during the installation process to achieve the accuracy of the braces installation. Finally, the completed holes and abnormal holes are judged, and the missing holes are identified to prevent missing holes and improve 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.

[0036] In the description of the specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0037] In addition, each functional unit in each embodiment 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, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method of each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (RandomAccess Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0038] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be 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 will not be limited to the embodiments shown herein, but rather to 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: Acquire installation information and feeder information, wherein the installation information includes the first image of each required automotive braces component and installation hole information, the installation hole information includes the required number of installation holes and hole position information of each installation hole, the corresponding matching automotive braces model, the preset installation torque and the preset installation depth, and the feeder information includes the position information of the storage position of each automotive braces model in the feeder; Obtain a second image of the current component, obtain corresponding mounting hole information through image recognition technology, and match the corresponding automotive braces for the current mounting hole in combination with the feeder table information; During the installation of automotive braces, the actual output torque of the brace 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, wherein the hole progress type includes a completed hole and an abnormal hole; According to 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, exclude the positions of the completed holes and the hole position information of the abnormal holes based on the installation 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.

2. The method for installing automotive braces according to claim 1, characterized in that: The second image of the current component is obtained, the corresponding installation hole information is obtained by image recognition technology, and the corresponding automotive braces are matched to the current installation hole in combination with the feeder table information, specifically: 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; According to the automobile braces model corresponding to the current hole to be installed, the position information of the corresponding storage position in the feeding table is obtained; The automotive tooth socket is automatically clamped from the feeding table and inserted into the tooth socket screw-in device according to the position information, and the automotive tooth socket is installed on the current hole to be installed according to the hole position information of the current hole to be installed.

3. The method for installing automotive braces according to claim 2, characterized in that: The dental brace screwing device is a screw sleeve installer in the form of a mechanical arm, which is used to screw the automotive dental brace into the installation hole for installation.

4. The method for installing automotive braces according to claim 2, characterized in that: The matching of the second image of the current component with the corresponding first image is specifically: Extracting corresponding structural feature vectors from the second image and each of the first images respectively by edge detection; Extracting corresponding texture feature vectors from the second image and each first image respectively through a gray level co-occurrence matrix; respectively calculating the Euclidean distance J1 between the structural feature vector of the second image and the structural feature vectors of each first image; respectively calculating the Euclidean distance J2 between the texture feature vector of the second image and the texture feature vectors of each first image; 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 maximum feature root mean square RMS is matched with the second image of the current part.

5. The method for installing automotive braces according to claim 1, characterized in that: The torque sensor includes calibration, and the specific calibration steps are: 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.

6. The method for installing automotive braces according to claim 1, characterized in that: The adjustment is performed according to the preset installation torque of the current installation hole, specifically: The difference between the actual output torque and the preset installation torque is calculated as the torque error; If the torque error is greater than the preset error threshold, the feedback control signal is calculated by the PID controller to adjust the actual output torque.

7. The method for installing automotive braces according to claim 1, characterized in that: 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 according to 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.

8. The method for installing automotive braces according to claim 7, characterized in that: The actual installation depth of the current automobile 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.

9. An automobile braces installation device, using the automobile braces installation method according to any one of claims 1 to 9, characterized in that: include: A photographing device, used for acquiring a second image of the current component in real time; Braces screw-in device, screw the car braces into the installation hole; A feeding table for storing automotive braces; An information acquisition module, used to acquire installation information and feeder information, wherein the installation information includes the first image of each required automotive braces component and the installation hole information, wherein the installation hole information includes the required number of installation holes and the hole position information of each installation hole, the corresponding matching automotive braces model, the preset installation torque and the preset installation depth, and the feeder information includes the location information of each automotive braces model stored in the feeder; A matching module, used to obtain corresponding installation hole information through image recognition technology according to the second image of the current component, and match the corresponding automotive braces for the current hole to be installed in combination with the feeder table information; The adjustment module is used to obtain the actual output torque of the brace screw-in device in real time through the torque sensor during the installation of the automotive brace, and adjust it according to the preset installation torque of the current installation hole; A judgment module, used for judging the hole progress type of the corresponding installation hole according to the actual installation depth of the current automobile braces and the preset installation depth of the corresponding installation hole after the current automobile braces are installed, 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 positions. The automotive braces are installed based on the missing hole positions.

10. The automotive braces installation device according to claim 9, characterized in that: According to the second image of the current component, the corresponding installation hole information is obtained by image recognition technology, and the corresponding automotive braces are matched to the current installation hole in combination with the feeder table information, specifically: 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; According to the automobile braces model corresponding to the current hole to be installed, the position information of the corresponding storage position in the feeding table is obtained; The automotive tooth socket is automatically clamped from the feeding table and inserted into the tooth socket screw-in device according to the position information, and the automotive tooth socket is installed on the current hole to be installed according to the hole position information of the current hole to be installed.

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