A CAD / CAM fixed-structure clasp complete denture and its preparation method

Abstract

The application relates to the technical field of full denture, and discloses a CAD / CAM fixed structure rod card full denture and a preparation method, the method comprising the following steps: checking and evaluating a user; obtaining a three-dimensional model of the oral cavity of the user based on optical measurement; preparing a mold for the user based on a preset material; obtaining a three-dimensional digital model of the mold based on a scanning device, comparing the three-dimensional digital model with the three-dimensional model of the oral cavity to obtain a fine calibration model, determining the setting position of a fixed structure rod card in the fixed structure rod card full denture according to the fine calibration model by using CAD, and obtaining scheme data; transmitting the scheme to a numerical control machine tool, manufacturing the fixed structure rod card based on CAM, assembling the fixed structure rod card and a base, and obtaining the fixed structure rod card full denture. The application optimizes the setting position of the fixed structure rod card according to the fine calibration model by using CAD, so that the setting position is more in line with the oral anatomical structure of the patient, and the retention force and comfort of the denture are improved.

Description

Technical Field

[0001] This invention relates to the field of complete denture technology, and more specifically, to a CAD / CAM fixed structure clasp complete denture and its preparation method. Background Technology

[0002] Complete dentures are a standard restorative method for edentulous patients. A complete denture is a removable prosthesis that uses artificial materials to replace the missing upper or lower jaw dentition and related tissues. A complete denture consists of two parts: artificial teeth and a denture base. The denture base adheres tightly to the edentulous jaw mucosa, and the suction force generated by the marginal seal, along with atmospheric pressure, allows the denture to adhere to the alveolar ridges of the upper and lower jaws, restoring the patient's damaged tissues and facial appearance, and restoring chewing and speech functions. Currently, common complete dentures on the market are often found in elderly patients with long-term tooth loss due to various reasons, resulting in severe alveolar bone resorption. This leads to shallow and flat alveolar ridges in the main support area of ​​the complete denture, which is unfavorable for denture retention.

[0003] Therefore, it is necessary to design a CAD / CAM fixed structure bar-and-clamp complete denture to solve the problem of shallow and flat alveolar bone in the main support area of ​​the complete denture, which is not conducive to denture retention. Summary of the Invention

[0004] In view of this, the present invention proposes a CAD / CAM fixed structure clasp complete denture and its preparation method, aiming to solve the problem that the alveolar bone in the main support area of ​​current complete dentures is shallow and flat, which is not conducive to denture retention.

[0005] In one aspect, the present invention proposes a method for preparing a CAD / CAM fixed-structure clasp complete denture, comprising:

[0006] The user is examined and evaluated, including oral health status, missing teeth, occlusion, and jawbone condition; a three-dimensional oral model of the user is obtained based on optical measurements.

[0007] An impression is prepared for the user based on a preset material;

[0008] A three-dimensional digital model of the impression is obtained based on a scanning device. The three-dimensional digital model is compared with the three-dimensional oral cavity model to obtain a fine-tuning model. CAD (Computer Aided Design) is used to determine the setting position of the fixed structure clasp in the fixed structure clasp complete denture based on the fine-tuning model, and scheme data is obtained.

[0009] The data of the proposed solution is transmitted to a CNC machine tool, and the fixed structure bracket is manufactured based on CAM (Computer Aided Manufacturing). The fixed structure bracket is then assembled with the base to obtain a fixed structure bracket complete denture.

[0010] Furthermore, the optical measurement includes X-rays or oral scans, with the oral scan employing a three-dimensional scan.

[0011] Furthermore, when preparing an impression for the user based on a preset material, the preset material includes an alginate impression material.

[0012] Furthermore, when acquiring the three-dimensional digital model of the impression using a scanning device, the process includes:

[0013] The impression was scanned using a digital scanner.

[0014] Furthermore, when comparing the three-dimensional digital model with the oral cavity three-dimensional model to obtain the refined model, the process includes:

[0015] The similarity between the three-dimensional digital model and the oral cavity three-dimensional model is obtained, and the similarity is compared with a similarity threshold. The refined model is obtained based on the comparison result.

[0016] When the similarity is greater than or equal to the similarity threshold, the oral cavity 3D model is used as the refined model;

[0017] When the similarity is less than the similarity threshold, the refined model is obtained based on the oral cavity 3D model and the 3D digital model.

[0018] Furthermore, when obtaining the refined model based on the oral cavity 3D model and the 3D digital model, the process includes:

[0019] The oral cavity 3D model is aligned with the 3D digital model based on the ICP (Iterative Closest Point) algorithm. Through continuous iterative optimization, the point cloud matching degree between the oral cavity 3D model and the 3D digital model is maximized, and the model composed of the point cloud is used as the fine-tuning model.

[0020] Furthermore, when using CAD to determine the placement position of the fixed structure retainer in the complete denture based on the refined model, the process includes:

[0021] The fine-calibrated model is compared with the historical reference model, and the setting position of the fixed structure rod is determined based on the comparison results;

[0022] When there is data in the historical reference model that has a model similarity greater than or equal to the similarity threshold of the refined model, the historical setting position corresponding to the historical reference model is used as the setting position of the fixed structure pole card;

[0023] When the model similarity between the historical reference model and the refined model is less than the similarity threshold, the setting position of the fixed structure pole card is obtained based on the convolutional neural network model.

[0024] The historical reference model includes several historical calibration models and several historical fixed structure pole positions, and each historical calibration model corresponds to a historical fixed structure pole position.

[0025] Furthermore, when obtaining the setting position of the fixed structure lever based on the convolutional neural network model, it includes:

[0026] The historical reference model is divided into a training set, a validation set, and a test set. A CNN model is trained based on the training set, the model parameters are tuned based on the validation set, and the model performance is evaluated based on the test set.

[0027] The model weights are updated using the backpropagation algorithm, and the loss function is minimized using the Adam optimizer.

[0028] Determine the input data of the convolutional neural network model, wherein the input data includes the point cloud, surface mesh data, and three-dimensional geometric structure of the refined model;

[0029] The output of the convolutional neural network model is obtained, and the output is used as the setting position of the fixed structure rod.

[0030] Compared with existing technologies, the advantages of this invention are as follows: By employing CAD / CAM technology, personalized design and fabrication of complete dentures are achieved, solving the retention difficulties caused by shallow alveolar ridges and other issues in traditional complete dentures. A comprehensive oral health assessment of the user is conducted, and a three-dimensional model of the oral cavity is obtained based on optical measurements, making each patient's oral data more accurate. By combining impressions made from pre-prepared materials with the three-dimensional digital model obtained by scanning equipment, a refined model is obtained through comparison and optimization, ensuring the accuracy and fit of the design. CAD is used to optimize the placement of the fixing structure clips based on the refined model, making them more consistent with the patient's oral anatomy, improving the retention and comfort of the dentures. CAM technology is used to transfer the design scheme to a CNC machine tool for precise machining, ensuring the precision and quality of the dentures.

[0031] On the other hand, this application also provides a CAD / CAM fixed structure clasp complete denture, which is manufactured using the above-mentioned CAD / CAM fixed structure clasp complete denture manufacturing method, including:

[0032] The base is provided with a first positioning groove and a second positioning groove, and an artificial tooth is disposed in the first positioning groove;

[0033] The fixing structure includes a fixing base, a first fixing slot, and a fixing structure rod, wherein the fixing structure rod corresponds to the second positioning slot and is engaged with the second positioning slot;

[0034] The base is provided with a plurality of implants, each implant corresponding to a first fixing slot, and the first fixing slot and the implant are fixedly connected by bolts.

[0035] It is understandable that the above-mentioned CAD / CAM fixed structure bar-and-loop complete dentures and their preparation methods have the same beneficial effects, and will not be elaborated further here. Attached Figure Description

[0036] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0037] Figure 1 A flowchart illustrating the CAD / CAM fixed-structure clasp complete denture fabrication method provided in this embodiment of the invention;

[0038] Figure 2 This is a schematic diagram of the structure of a CAD / CAM fixed-structure bar-and-loop complete denture provided in an embodiment of the present invention.

[0039] Among them, 100 is the base; 110 is the first positioning groove; 120 is the second positioning groove; 130 is the artificial tooth; 210 is the fixing base; 220 is the first fixing slot; 230 is the fixing structural rod; 300 is the base; and 310 is the implant. Detailed Implementation

[0040] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0041] In some embodiments of this application, see Figure 1As shown, a method for preparing a CAD / CAM fixed-structure clasp complete denture includes:

[0042] S100: The user is examined and assessed, including oral health status, missing teeth, occlusion, and jawbone condition. A three-dimensional model of the user's oral cavity is obtained based on optical measurements.

[0043] S200: Prepare an impression for the user based on preset materials.

[0044] S300: Based on the scanning equipment, a three-dimensional digital model of the impression is obtained. The three-dimensional digital model is compared with the three-dimensional model of the oral cavity to obtain a fine-tuning model. CAD is used to determine the setting position of the fixed structure clasp in the fixed structure clasp complete denture according to the fine-tuning model, and the scheme data is obtained.

[0045] S400: The solution data is transmitted to a CNC machine tool, a fixed structure bracket is made based on CAM, and the fixed structure bracket is assembled with the base to obtain a fixed structure bracket complete denture.

[0046] Specifically, in S100, an oral examination, including tooth loss, occlusion, and jawbone condition, provides foundational data for denture design. Optical scanning technology acquires three-dimensional data of the patient's oral cavity, recording its morphology and tissue structure, providing an accurate basis for subsequent design. In S200, a pre-designed material (such as alginate) is used to create an impression to capture the physical morphology of the oral cavity. The impression material ensures the accuracy of the oral data, guaranteeing the accuracy of scanning and subsequent digitization processes. In S300, a scanning device (such as a 3D digital scanner) acquires a three-dimensional digital model of the impression. This model accurately reflects every detail of the impression, ensuring no information loss. The three-dimensional oral model is compared with the digital model of the impression, and algorithms are used to adjust and generate a refined model, optimizing the model's fit. This comparison ensures a high degree of matching between the digital model and the actual oral condition. Based on the refined model, CAD software is used for design, precisely determining the position of the fixed structural bar within the complete denture and generating corresponding design data, providing an accurate basis for subsequent fabrication. In the S400, design data is transmitted to a CNC machine tool (CAM) for precision machining, producing a fixed structural clasp that meets the design requirements. The fabricated fixed structural clasp is then assembled with the denture base to obtain a complete fixed structural clasp complete denture. This step ensures the stability and comfort of the denture.

[0047] Understandably, integrating CAD / CAM technology for highly personalized and precise fabrication of complete dentures solves the retention difficulties associated with traditional complete dentures, particularly those with shallow alveolar ridges or low jaws. Comprehensive oral health assessments and 3D data acquisition ensure the accuracy and personalization of the denture design. Comparison and optimization based on precise models guarantee the design's adaptability and comfort. Precision fabrication and assembly using CNC machine tools improve the stability and functionality of the dentures, enhancing the patient experience. Automation and digitalization technologies reduce human error and operational complexity.

[0048] In some embodiments of this application, optical measurements include X-rays or oral scans, with the oral scan employing a three-dimensional scan.

[0049] In some embodiments of this application, when preparing an impression for a user based on a preset material, the preset material includes an alginate impression material.

[0050] In some embodiments of this application, when acquiring a three-dimensional digital model of an impression using a scanning device, the method includes: scanning the impression using a digitizer.

[0051] Understandably, X-ray imaging of the oral cavity provides information about tooth loss, bone condition, and jaw structure, aiding in the assessment of a patient's oral health and the feasibility of denture design. Oral scanning technology, using 3D scanning equipment, acquires three-dimensional data of the patient's oral cavity, precisely recording every detail, including the morphology of teeth, alveolar bone, and jawbone, resulting in a high-quality 3D digital model. 3D scan data has higher precision and richer information content, providing more accurate basic data for precise denture design and subsequent fabrication compared to traditional 2D images. Alginate (such as sodium alginate or calcium alginate) is a material used for oral impressions, possessing good flowability and solidification properties. Alginate materials solidify rapidly upon contact with oral tissues, forming a high-precision impression that replicates the internal structure of the oral cavity, ensuring accurate impression production. A digital scanner is used to scan the impression, generating a precise 3D digital model. The digital scanner uses high-precision optical or laser scanning technology to acquire the geometry of the impression surface and convert it into digital signals, generating point cloud data or a 3D mesh model. Compared to traditional manual measurement or two-dimensional imaging, digital scanning can accurately record every detail of an impression, capturing everything from minute morphological changes to complex structures.

[0052] In some embodiments of this application, when comparing a three-dimensional digital model with a three-dimensional oral cavity model to obtain a refined model, the process includes: obtaining the similarity between the three-dimensional digital model and the three-dimensional oral cavity model, comparing the similarity with a similarity threshold, and obtaining a refined model based on the comparison result.

[0053] Specifically, when the similarity is greater than or equal to the similarity threshold, the 3D oral cavity model is used as the refinement model. When the similarity is less than the similarity threshold, a refinement model is obtained based on the 3D oral cavity model and the 3D digital model.

[0054] In some embodiments of this application, when obtaining a refined model based on a three-dimensional oral cavity model and a three-dimensional digital model, the process includes: aligning the three-dimensional oral cavity model and the three-dimensional digital model based on the ICP algorithm, continuously iterating and optimizing to ensure that the point cloud matching degree between the three-dimensional oral cavity model and the three-dimensional digital model is maximized, and using the model composed of the point cloud as the refined model.

[0055] Understandably, the introduction of a similarity threshold ensures that the 3D oral model can be used directly when the model differences are small, thus avoiding unnecessary calculations and processing. For cases with larger differences, the ICP algorithm can minimize errors through iterative optimization, ensuring the accuracy of the refined model. This not only improves the precision of complete denture design but also effectively reduces manual intervention and increases the efficiency of automated design and fabrication.

[0056] In some embodiments of this application, when using CAD to determine the setting position of the fixed structure bar in a complete denture based on a fine-calibration model, the method includes: comparing the fine-calibration model with a historical reference model, and determining the setting position of the fixed structure bar based on the comparison result.

[0057] Specifically, when the historical reference model contains data whose model similarity to the refined model is greater than or equal to a similarity threshold, the historical setting position corresponding to the historical reference model is used as the setting position of the fixed structure pole card. When the model similarity between the historical reference model and the refined model is less than the similarity threshold, the setting position of the fixed structure pole card is obtained based on a convolutional neural network model. The historical reference model includes several historical refined models and several historical fixed structure pole card setting positions, and each historical refined model corresponds to one historical fixed structure pole card setting position.

[0058] In some embodiments of this application, obtaining the setting position of the fixed structure lever based on a convolutional neural network model includes:

[0059] The historical reference model is divided into a training set, a validation set, and a test set. The CNN model is trained based on the training set, the model parameters are tuned based on the validation set, and the model performance is evaluated based on the test set.

[0060] The model weights are updated using the backpropagation algorithm, and the loss function is minimized using the Adam optimizer.

[0061] Determine the input data for the convolutional neural network model. The input data includes the point cloud, surface mesh data, and 3D geometry of the refined model.

[0062] Obtain the output of the convolutional neural network model and use the output as the setting position of the fixed structure rod.

[0063] Understandably, by combining historical data and convolutional neural network technology, the most suitable complete denture design can be automatically provided for patients. When the precision model has a high similarity to the historical reference model, using the historical settings can significantly reduce design time and improve efficiency; while when the similarity is low, the convolutional neural network can adaptively derive the optimal position of the fixed structural clasps through deep learning technology. By combining big data and deep learning, and making full use of historical data for intelligent design, the personalization and adaptability of complete dentures are improved, while also reducing manual intervention and improving the accuracy and efficiency of the manufacturing process.

[0064] The above embodiments utilize CAD / CAM technology to achieve personalized design and fabrication of complete dentures, solving retention difficulties caused by shallow alveolar ridges and other issues in traditional complete dentures. By conducting a comprehensive oral health assessment of the user and obtaining a three-dimensional model of the oral cavity based on optical measurements, the oral data for each patient is made more accurate. Combining the impression made from pre-prepared materials with the three-dimensional digital model obtained by scanning equipment, a refined model is obtained through comparison and optimization, ensuring the accuracy and fit of the design. CAD is used to optimize the placement of the fixing structure clips based on the refined model, making them more consistent with the patient's oral anatomy, improving the retention and comfort of the denture. CAM technology is used to transfer the design scheme to a CNC machine tool for precise machining, ensuring the precision and quality of the denture.

[0065] In another preferred embodiment based on the above embodiments, see [reference] Figure 2 As shown, this embodiment provides a CAD / CAM fixed-structure clasp complete denture, which is fabricated using the above-described CAD / CAM fixed-structure clasp complete denture fabrication method, including:

[0066] The base 100 is provided with a first positioning groove 110 and a second positioning groove 120, and an artificial tooth 130 is provided in the first positioning groove 110.

[0067] The fixing structure includes a fixing base 210, a first fixing slot 220, and a fixing structure rod 230. The fixing structure rod 230 corresponds to the second positioning slot 120 and is engaged with the second positioning slot 120.

[0068] The base 300 is provided with a few implants 310. Each implant 310 corresponds to a first fixing slot 220 and is fixedly connected to the implant 310 by bolts.

[0069] Specifically, the engagement of the first positioning slot 110 and the second positioning slot 120 on the base 100 with the fixed structural bar 230 provides stable support and positioning, allowing the complete denture to fit snugly in the oral cavity and preventing denture displacement due to alveolar bone resorption. The base 300 refers to the user's jawbone, where an implant 310 is inserted. The engagement of the first fixed clasp 220 with the implant 310, connected by bolts, ensures the fixation and durability of the denture, enhancing its overall stability. Through the combination of positioning, engagement, and implant fixation, the retention force of the complete denture is improved, solving the fit and comfort issues of traditional designs.

[0070] Understandably, the adoption of CAD / CAM technology enables personalized design and fabrication of complete dentures, resolving retention difficulties caused by issues such as shallow alveolar ridges and other problems associated with traditional complete dentures. A comprehensive oral health assessment of the user, coupled with the acquisition of a 3D model of the oral cavity based on optical measurements, ensures greater accuracy in each patient's oral data. By comparing and optimizing impressions made from pre-prepared materials with the 3D digital model obtained through scanning equipment, a refined model is obtained, ensuring the accuracy and fit of the design. CAD is used to optimize the placement of the fixing structure clips based on the refined model, making them more consistent with the patient's oral anatomy and improving denture retention and comfort. CAM technology transfers the design scheme to CNC machine tools for precise machining, guaranteeing the precision and quality of the dentures.

[0071] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0072] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0073] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0074] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0075] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for making a CAD / CAM fixed structure bar clasp complete denture, characterized in that, The method comprises the following steps: checking and evaluating the user, including oral health, tooth loss, occlusal relationship and jawbone condition; obtaining a three-dimensional model of the user's oral cavity based on optical measurement; preparing an impression for the user based on a preset material; obtaining a three-dimensional digital model of the impression based on a scanning device, comparing the three-dimensional digital model with the three-dimensional model of the oral cavity to obtain a refined model, determining the setting position of the fixed structure bar clasp in the fixed structure bar clasp complete denture based on CAD according to the refined model, and obtaining scheme data; transmitting the scheme data to a numerical control machine tool, manufacturing the fixed structure bar clasp based on CAM, assembling the fixed structure bar clasp and the base, and obtaining the fixed structure bar clasp complete denture; when determining the setting position of the fixed structure bar clasp in the fixed structure bar clasp complete denture based on CAD according to the refined model, the method comprises the following steps: comparing the refined model with a historical reference model, and determining the setting position of the fixed structure bar clasp according to the comparison result; when there is data in the historical reference model that has a similarity greater than or equal to a similarity threshold with the refined model, taking the historical setting position corresponding to the historical reference model as the setting position of the fixed structure bar clasp; when the similarity of the historical reference model and the refined model is less than the similarity threshold, obtaining the setting position of the fixed structure bar clasp based on a convolutional neural network model; the historical reference model comprises a plurality of historical refined models and a plurality of historical setting positions of the fixed structure bar clasp, and each historical refined model corresponds to a historical setting position of the fixed structure bar clasp.

2. The method of claim 1, wherein the CAD / CAM fixed structure bar clasp complete denture is prepared by the steps of: The optical measurement comprises X-ray film or oral cavity scanning, and the oral cavity scanning adopts three-dimensional scanning.

3. The method of claim 1, wherein the CAD / CAM fixed structure bar clasp complete denture is prepared by the steps of: When preparing the impression for the user based on a preset material, the preset material comprises alginate impression material.

4. The method of claim 1, wherein the CAD / CAM fixed structure bar clasp complete denture is prepared by the steps of: When obtaining the three-dimensional digital model of the impression based on a scanning device, the method comprises the following steps: scanning the impression by using a digital scanner.

5. The method of claim 1, wherein the CAD / CAM fixed structure bar clasp complete denture is prepared by the steps of: When comparing the three-dimensional digital model with the three-dimensional model of the oral cavity to obtain a refined model, the method comprises the following steps: obtaining the similarity of the three-dimensional digital model and the three-dimensional model of the oral cavity, comparing the similarity with a similarity threshold, and obtaining the refined model according to the comparison result; when the similarity is greater than or equal to the similarity threshold, taking the three-dimensional model of the oral cavity as the refined model; when the similarity is less than the similarity threshold, obtaining the refined model according to the three-dimensional model of the oral cavity and the three-dimensional digital model.

6. The method of claim 5, wherein the CAD / CAM fixed structure bar clasp complete denture is prepared by the steps of: When obtaining the refined model according to the three-dimensional model of the oral cavity and the three-dimensional digital model, the method comprises the following steps: aligning the three-dimensional model of the oral cavity and the three-dimensional digital model based on an ICP algorithm, continuously iterating and optimizing to ensure that the point cloud matching degree of the three-dimensional model of the oral cavity and the three-dimensional digital model is maximum, and taking the model composed of the point cloud as the refined model.

7. The method of claim 1, wherein the CAD / CAM fixed structure bar clasp complete denture is prepared by the steps of: When obtaining the setting position of the fixed structure bar clasp based on a convolutional neural network model, the method comprises the following steps: The historical reference model is divided into a training set, a validation set and a test set, a CNN model is trained based on the training set, model parameters are optimized based on the validation set, and the performance of the model is evaluated based on the test set; The model weights are updated using a backpropagation algorithm, and the loss function is minimized by an Adam optimizer; Determine the input data of the convolutional neural network model, which includes the point cloud, surface mesh data, and three-dimensional geometric structure of the fine calibration model; Obtain the output result of the convolutional neural network model, and use the output result as the setting position of the fixed structure rod card.

8. A CAD / CAM fixed structure bar clasp complete prepared by the method of any one of claims 1 to 7, characterized in that Comprise: The base is provided with a first positioning groove and a second positioning groove, and the first positioning groove is provided with artificial teeth; The fixed structure comprises a fixed base, a first fixed card slot, and a fixed structure rod card, the fixed structure rod card corresponds to the second positioning groove, and the fixed structure rod card is connected with the second positioning groove; The bottom support is provided with implants, the implants are provided with a plurality of implants, the implants correspond to the first fixed card slot, and the first fixed card slot and the implants are fixedly connected by bolts.

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