Partial denture transparent support occlusion relation dynamic prediction system

Abstract

The invention relates to the technical field of computer aided design, in particular to a partial denture transparent support occlusion relation dynamic prediction system. The system is implemented by the following steps: screening effective occlusal points according to a stress condition in a tooth occlusal process in a state of installing a partial denture and a transparent bracket; determining a main occlusion point at each moment according to the stress magnitude and the stress superposition condition of each effective occlusion point; determining the slippage trend of each main occlusion point; according to the slippage trend and the stress transmission condition between the main occlusion points, the slippage transmission trend of each target occlusion point is determined; the target occlusal point is a main occlusal point on the partial denture; and determining a shape control coefficient of an adjacent voxel of the target occlusal point on the transparent bracket according to the slippage trend and the slippage transmission trend of the target occlusal point at each moment. By adopting the system, the occlusion relationship can be accurately predicted, so that the shape control coefficient of voxels on the transparent bracket is accurately determined, and the shape of the transparent bracket is accurately adjusted.

Description

Technical Field

[0001] The present invention relates to the technical field of computer-aided design, and particularly to a dynamic prediction system for the occlusal relationship of a partial denture transparent stent. Background Art

[0002] A partial denture is a tooth restoration device used to replace missing teeth and restore the function and aesthetics of the oral cavity. The partial denture is fixed by a transparent stent, and a reasonable tooth arrangement structure is set by the transparent stent to optimize the contact of the patient's occlusal points and reduce the distribution of adverse occlusal forces, thereby improving the comfort of the patient.

[0003] When the patient has an incorrect occlusal movement due to tooth structure or chewing habits, etc., there will be a situation where some teeth do not contact well during occlusion and the force distribution on the teeth during occlusion is uneven. And under the uneven pressure distribution, the teeth that are severely compressed may wear out faster. Optimizing the occlusal relationship through the transparent stent can reduce the adverse occlusal force of the denture.

[0004] To solve the problem of adverse occlusal force, the existing technology establishes a digital model of the transparent stent, analyzes the influence of different tooth shapes, occlusal relationships and other factors on the key parameters of the transparent stent. Based on the personalized stent model structure of the patient, a suitable processing technology is selected, and the occlusal relationship is predicted and adjusted, so as to accurately adjust the digital model.

[0005] In the traditional method, when analyzing the possible trend of adverse occlusal force, only the change trend of the force magnitude at the occlusal point is often analyzed. However, the forces between the occlusal points will interact and superimpose on each other, resulting in inaccurate prediction of the occlusal relationship when analyzing only based on the force condition of a single occlusal point, and unable to accurately adjust the transparent stent. Summary of the Invention

[0006] In order to solve the technical problem of inaccurate prediction of the occlusal relationship and inability to accurately adjust the transparent stent, the purpose of the present invention is to provide a dynamic prediction system for the occlusal relationship of a partial denture transparent stent, and the specific technical solution adopted is as follows: The present invention provides a dynamic prediction system for the occlusal relationship of a partial denture transparent stent, the system includes a memory and a processor; the memory stores executable program codes; the processor runs the executable program codes to implement the following steps: Screen effective occlusal points according to the force conditions during the tooth occlusion process in the state of installing the partial denture and the transparent stent; Determine the main occlusal points at each moment according to the force magnitude and force superposition situation of each effective occlusal point at each moment; Determine the slip trend of each main occlusal point at each moment; Determine the slip transfer trend of each target occlusal point at each moment according to the force transfer between the slip trend and the main occlusal points; the target occlusal points are the main occlusal points on the partial denture. Determine the shape control coefficient of the adjacent voxels of the target occlusal point on the transparent bracket according to the slip trend and the slip transfer trend of the target occlusal point at each moment.

[0007] According to the dynamic prediction system for the occlusal relationship of the transparent bracket of the partial denture provided by the present invention, the screening of effective occlusal points according to the force conditions during the tooth occlusion process in the state of installing the partial denture and the transparent bracket includes: Determine the force effectiveness of each occlusal point according to the force magnitude of each occlusal point at each moment during the tooth occlusion process in the state of installing the partial denture and the transparent bracket. Screen effective occlusal points from each occlusal point according to the force effectiveness of each occlusal point.

[0008] According to the dynamic prediction system for the occlusal relationship of the transparent bracket of the partial denture provided by the present invention, the determination of the force effectiveness of each occlusal point according to the force magnitude of each occlusal point at each moment during the tooth occlusion process in the state of installing the partial denture and the transparent bracket includes: For each occlusal point during the tooth occlusion process in the state of installing the partial denture and the transparent bracket, determine the force effectiveness of the occlusal point according to the maximum force of the occlusal point and the force difference between the occlusal point and the average force of each surrounding occlusal point of the occlusal point.

[0009] According to the dynamic prediction system for the occlusal relationship of the transparent bracket of the partial denture provided by the present invention, the determination of the main occlusal points at each moment according to the force magnitude and the force superposition of each effective occlusal point at each moment includes: Determine the occlusal transfer coefficient between each effective occlusal point at each moment according to the distance between each effective occlusal point and the force difference at each moment. For each effective occlusal point at each moment, determine the central evaluation of the effective occlusal point at the moment according to the force magnitude of the effective occlusal point at the moment, the occlusal transfer coefficient of the effective occlusal point to each surrounding effective occlusal point, and the force magnitude and the force effectiveness of each surrounding effective occlusal point. Determine the main occlusal points at each moment according to the central evaluation of each effective occlusal point at each moment.

[0010] According to the dynamic prediction system for the occlusal relationship of the transparent bracket of the partial denture provided by the present invention, the determination of the main occlusal points at each moment according to the central evaluation of each effective occlusal point at each moment includes: For each moment, cluster the central evaluations of the effective occlusal points at that moment to obtain two clusters; Determine the cluster with a larger average value of the central evaluation as the target cluster; Remove the outlier effective occlusal points from the effective occlusal points in the target cluster, and take the remaining effective occlusal points in the target cluster as the main occlusal points at that moment.

[0011] According to the local denture transparent stent occlusal relationship dynamic prediction system provided by the present invention, the slip trend includes a slip influence degree and a slip influence vector; The determining the slip trend of each main occlusal point at each moment includes: Determine several main occlusal regions composed of each of the main occlusal points; For each moment, determine the overall deviation coefficient at that moment according to the deviation of each of the main occlusal regions relative to the tooth surface reference curve at that moment; For each main occlusal point at each moment, determine the slip influence degree of the main occlusal point at that moment according to the overall deviation coefficient at that moment, the central evaluation of the main occlusal point at that moment, the time interval since the last time it was a main occlusal point, and the position of the main occlusal region where it is located; Taking the main occlusal point as the starting point, taking the direction with the smallest distance from the center of the main occlusal region where the main occlusal point is located at each moment to the tooth surface reference curve as the vector direction, and taking the slip influence degree of the main occlusal point at that moment as the modulus of the vector, construct the slip influence vector of the main occlusal point at that moment.

[0012] According to the local denture transparent stent occlusal relationship dynamic prediction system provided by the present invention, the slip trend includes a slip influence degree and a slip influence vector; the slip transfer trend includes a slip transfer coefficient and a main slip transfer direction; The determining the slip transfer trend of each target occlusal point at each moment according to the slip trend and the force transfer situation between the main occlusal points includes: For each target occlusal point at each moment, determine the included angle between the line connecting each of the main occlusal points to the target occlusal point and the slip influence vector of the main occlusal point, and obtain the action included angle of each of the main occlusal points on the target occlusal point; According to the occlusal transfer coefficient and the action included angle of each of the main occlusal points on the target occlusal point, and the slip influence degree of each of the main occlusal points, determine the slip transfer coefficient of the target occlusal point at that moment; Determine the main direction of slip transfer of the target occlusal point at the moment according to the acting angle of the target occlusal point with respect to each of the main occlusal points and the slip influence vectors of each of the main occlusal points.

[0013] According to the local denture transparent stent occlusal relationship dynamic prediction system provided by the present invention, the slip trend includes the slip influence degree; the slip transfer trend includes the slip transfer coefficient and the main direction of slip transfer; The step of determining the shape control coefficient of the adjacent voxel of the target occlusal point on the transparent stent according to the slip trend and the slip transfer trend of the target occlusal point at each moment includes: For each adjacent voxel of each target occlusal point on the transparent stent, determine the shape control coefficient of the adjacent voxel according to the slip influence degree of the target occlusal point at each moment and the slip transfer coefficient corresponding to each target slip transfer main direction passing through the adjacent voxel among the main directions of slip transfer of the target occlusal point at each moment.

[0014] According to the local denture transparent stent occlusal relationship dynamic prediction system provided by the present invention, when the processor runs the executable program code, the following steps are further implemented: Determine the adjusted height value of the corresponding voxel on the transparent stent according to the shape control coefficient of each adjacent voxel of each target occlusal point; the adjusted height value is used as the target adjustment value to adjust the height of the corresponding voxel on the transparent stent.

[0015] According to the local denture transparent stent occlusal relationship dynamic prediction system provided by the present invention, when the processor runs the executable program code, the following steps are further implemented: After adjusting the height of the voxel on the transparent stent, return to execute the steps of screening the effective occlusal points and subsequent steps according to the force condition during the tooth occlusion process in the state of installing the local denture and the transparent stent, so as to determine the new shape control coefficient, and adjust the transparent stent again based on the new shape control coefficient.

[0016] The present invention has the following beneficial effects: The effective occlusion points are screened according to the force conditions during the tooth occlusion process in the state of installing the partial denture and the transparent stent. Then, according to the force magnitudes and the force superposition conditions of each effective occlusion point at each moment, the main occlusion points at each moment are determined. According to the slip trends of each main occlusion point and the force transmission conditions between the main occlusion points at each moment, the slip transmission trends of each target occlusion point on the partial denture at each moment are determined. Finally, according to the slip trends and slip transmission trends of the target occlusion points at each moment, the shape control coefficients of the adjacent voxels of the target occlusion points on the transparent stent are determined. It not only considers the force conditions of a single occlusion point but also can fully consider the superposition of the mutual influences between the occlusion points, thereby accurately predicting the occlusion relationship, accurately determining the shape control coefficients of the voxels on the transparent stent, and then accurately adjusting the shape of the transparent stent. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0018] Figure 1 It is the architecture diagram of a dynamic prediction system for the occlusion relationship of a partial denture transparent stent provided by an embodiment of the present invention; Figure 2 It is the flow schematic diagram of the steps implemented by the dynamic prediction system for the occlusion relationship of a partial denture transparent stent provided by an embodiment of the present invention; Figure 3 It is the schematic diagram of the principle for calculating the distance between effective occlusion points provided by an embodiment of the present invention; Figure 4 It is the schematic diagram of the tooth surface reference curve provided by an embodiment of the present invention; Figure 5 It is the schematic diagram of the main direction of slip transmission passing through adjacent voxels provided by an embodiment of the present invention; Figure 6 It is the overall flow schematic diagram of the steps implemented by the dynamic prediction system for the occlusion relationship of a partial denture transparent stent provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] To further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following specifically describes, in conjunction with the accompanying drawings and preferred embodiments, a dynamic prediction system for the occlusal relationship of a partial denture transparent bracket according to the present invention, including its specific implementation manner, structure, features, and effects. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0021] The following specifically describes the specific solution of a dynamic prediction system for the occlusal relationship of a partial denture transparent bracket provided by the present invention in conjunction with the accompanying drawings.

[0022] Please refer to Figure 1 , which shows the architecture diagram of a dynamic prediction system for the occlusal relationship of a partial denture transparent bracket provided by an embodiment of the present invention. The dynamic prediction system for the occlusal relationship of a partial denture transparent bracket includes a memory and a processor; the memory stores executable program code; the processor runs the executable program code to implement the following steps as shown in Figure 2 : Step 201, screen effective occlusal points according to the force conditions during the tooth occlusion process in the state of installing the partial denture and the transparent bracket.

[0023] Among them, the partial denture is a tooth restoration device used to replace the missing part of the teeth and restore the function and aesthetics of the oral cavity. The transparent bracket is used to fix the partial denture.

[0024] In one embodiment, a basic denture can be designed, and an initial denture transparent bracket can be made according to the outer surface of the patient's tooth model. After installing the basic denture and the initial denture transparent bracket for the patient, a tooth occlusion analysis system is used to collect the force conditions of each occlusal point at each moment during the patient's tooth occlusion process. For example, a T-scan tooth occlusion analysis system can be used for collection.

[0025] In one embodiment, the steps of designing a basic denture may include: scanning the patient's oral cavity using an intraoral scanner to obtain a patient oral cavity model, determining the Spee Curve of the patient's oral cavity based on the patient oral cavity model, determining the height and trend of the denture to be filled at the missing tooth position based on the Spee Curve, and designing the basic denture according to the height and trend. Among them, the Spee Curve is the connecting line of the incisal edges of the mandibular incisors, the cusps of the canines, the buccal cusps of the premolars, and the mesiodistal buccal cusps of the molars. The normal Spee Curve makes the upper and lower jaws bite more tightly, and enables the occlusal force to be transmitted along the long axis of the mandibular teeth to the jaw bone, thereby helping to exert a greater chewing force and being beneficial to the protection of tooth and periodontal health.

[0026] When the patient performs the biting action, due to differences in the tooth shape distribution and biting habits of the patient, the stress conditions of the teeth at each position are different. The installed partial denture may be the key stress-bearing tooth for chewing, or may be other teeth with less stress that are not used for chewing, or due to incorrect biting actions of the patient, the tooth contact is poor and the stress is abnormal. In order to screen out the effective occlusal points that may be under greater stress or have abnormal stress and may thus affect the wear of the partial denture, by analyzing the stress changes of each occlusal point during the stress process, the pressure intensity of each tooth is judged, so as to obtain the stress effectiveness of each occlusal point. According to the stress effectiveness of each occlusal point, the effective occlusal points are screened out from each occlusal point.

[0027] Step 202, determine the main occlusal points at each moment according to the stress magnitude and stress superposition of each effective occlusal point at each moment.

[0028] In one embodiment, according to the stress magnitude and stress superposition of each effective occlusal point at each moment, determine the central evaluation of each effective occlusal point at each moment. According to the central evaluation of each effective occlusal point at each moment, determine the main occlusal points at each moment.

[0029] In one embodiment, the occlusal transmission coefficient between each effective occlusal point can be determined according to the distance between each effective occlusal point and the stress difference at each moment, and the stress superposition situation can be determined according to the occlusal transmission coefficient between the effective occlusal points.

[0030] Step 203, determine the slip trend of each main occlusal point at each moment.

[0031] In one embodiment, the slip trend includes the slip influence degree and the slip influence vector.

[0032] In one embodiment, a number of main occlusion regions composed of main occlusion points are determined. For each moment, according to the deviation of each main occlusion region relative to the tooth surface reference curve at that moment, the overall deviation coefficient at that moment is determined. Then, for each main occlusion point at each moment, according to the overall deviation coefficient at that moment and the self-evaluation of the main occlusion point at that moment, the slip influence degree of the main occlusion point at that moment is determined.

[0033] In one embodiment, the self-evaluation of the main occlusion point may include the position condition, the center evaluation, and the interval duration since the last time it was a main occlusion point.

[0034] In one embodiment, for each main occlusion point at each moment, starting from the main occlusion point, with the direction in which the distance from the center of the main occlusion region where the main occlusion point is located at each moment to the tooth surface reference curve is the smallest as the vector direction, and with the slip influence degree of the main occlusion point at that moment as the modulus of the vector, the slip influence vector of the main occlusion point at that moment is constructed.

[0035] Step 204: According to the slip trend and the force transmission situation between the main occlusion points, determine the slip transmission trend of each target occlusion point at each moment; the target occlusion point is the main occlusion point on the partial denture.

[0036] In one embodiment, the slip transmission trend includes a slip transmission coefficient and a main slip transmission direction.

[0037] In one embodiment, for each target occlusion point at each moment, according to the slip influence vectors, the slip influence degrees of the main occlusion points, and the occlusion transmission coefficient for the target occlusion point, determine the slip transmission coefficient of the target occlusion point at that moment.

[0038] In one embodiment, according to the acting angles of the main occlusion points on the target occlusion point and the slip influence vectors of the main occlusion points, determine the main slip transmission direction of the target occlusion point at that moment.

[0039] Step 205: According to the slip trend and the slip transmission trend of the target occlusion point at each moment, determine the shape control coefficient of the adjacent voxel of the target occlusion point on the transparent stent.

[0040] It can be understood that the shape control coefficients of the adjacent voxels are determined based on each target occlusion point respectively, so that each voxel on the transparent stent obtains multiple shape control coefficients. For each voxel, the average value of the corresponding shape control coefficients of the voxel can be calculated to obtain the final shape control coefficient of the voxel.

[0041] The above dynamic prediction system for the occlusal relationship of a partial denture transparent stent screens effective occlusal points based on the force conditions during the tooth occlusion process in the state of installing the partial denture and the transparent stent. Then, according to the force magnitudes and force superposition conditions of each effective occlusal point at each moment, the main occlusal points at each moment are determined. According to the slip trends of each main occlusal point and the force transmission conditions between the main occlusal points at each moment, the slip transmission trends of each target occlusal point on the partial denture at each moment are determined. Finally, according to the slip trends and slip transmission trends of the target occlusal points at each moment, the shape control coefficients of the adjacent voxels of the target occlusal points on the transparent stent are determined. It not only considers the force conditions of a single occlusal point but also can fully consider the superposition of the mutual influences between occlusal points, thereby accurately predicting the occlusal relationship, accurately determining the shape control coefficients of the voxels on the transparent stent, and then accurately adjusting the shape of the transparent stent to make the occlusal relationship arrangement more reasonable.

[0042] In one embodiment, screening effective occlusal points according to the force conditions during the tooth occlusion process in the state of installing the partial denture and the transparent stent includes: determining the force effectiveness of each occlusal point according to the force magnitude of each occlusal point at each moment during the tooth occlusion process in the state of installing the partial denture and the transparent stent; and screening effective occlusal points from each occlusal point according to the force effectiveness of each occlusal point.

[0043] In one embodiment, for each occlusal point during the tooth occlusion process in the state of installing the partial denture and the transparent stent, the force effectiveness of the occlusal point is determined according to the self-force condition of the occlusal point and the force difference between the occlusal point and each surrounding occlusal point of the occlusal point.

[0044] In one embodiment, the force effectiveness of each occlusal point is respectively compared with a preset force effectiveness threshold, and the occlusal points with a force effectiveness greater than or equal to the preset force effectiveness threshold are determined as effective occlusal points. Among them, the preset force effectiveness threshold can be set according to the actual situation. For example, the preset force effectiveness threshold can be set to 0.5.

[0045] In the above embodiment, since the occlusal points with relatively large effectiveness may have poor force conditions and affect the wear rate of the partial denture, therefore, initially screening out the effective occlusal points that may have poor force conditions according to the force effectiveness of each occlusal point can improve the operation efficiency.

[0046] In one embodiment, determining the force effectiveness of each occlusal point according to the force magnitude of each occlusal point at each moment during the tooth occlusion process in the state of installing the partial denture and the transparent stent includes: for each occlusal point during the tooth occlusion process in the state of installing the partial denture and the transparent stent, determining the force effectiveness of the occlusal point according to the maximum force of the occlusal point and the force difference between the occlusal point and the average force of each surrounding occlusal point of the occlusal point.

[0047] Among them, the maximum force is the maximum value of the forces at each moment during the occlusion process of the occlusion point. The average force is the average value of the forces at each moment during the occlusion process of the occlusion point. The surrounding occlusion points are the occlusion points within a preset surrounding range. For example: The surrounding occlusion points can be the 20 occlusion points closest in distance.

[0048] In one embodiment, the force effectiveness of the occlusion point is positively correlated with the maximum force of the occlusion point. The force effectiveness of the occlusion point is positively correlated with the force difference.

[0049] In one embodiment, the sum of the force differences between the average forces of the occlusion point and each of its surrounding occlusion points can be determined to obtain the sum of the force differences, and then the force effectiveness of the occlusion point can be determined based on the product between the sum of the force differences and the maximum force of the occlusion point.

[0050] In one embodiment, the force effectiveness of the occlusion point can be determined according to the following formula: Among them, represents the force effectiveness of the th occlusion point. represents the maximum force of the th occlusion point. represents the average force of the th occlusion point. represents the average force of the th occlusion point and the th surrounding occlusion point of the represents the force difference between the average force of the th occlusion point and the th occlusion point and the th surrounding occlusion point of the represents the sum of the force differences between the average forces of the th occlusion point and each of its surrounding occlusion points, that is, the sum of the force differences. represents the preset surrounding range, that is, the number of surrounding occlusion points. For example: j = 20 means taking the 20 occlusion points closest in distance to the th occlusion point as the surrounding occlusion points. represents the linear normalization function.

[0051] In the above embodiments, based on the maximum force of the occlusion point and the force differences between the average forces of the occlusion point and each of its surrounding occlusion points, the poor force condition of the occlusion point can be accurately measured, and thus the force effectiveness of the occlusion point can be accurately determined.

[0052] In one embodiment, according to the force magnitudes and force superposition conditions of each effective occlusal point at each moment, the main occlusal points at each moment are determined, including: determining the occlusal transmission coefficient between each effective occlusal point at each moment according to the distance between each effective occlusal point and the force difference at each moment; respectively for each effective occlusal point at each moment, determining the central evaluation of the effective occlusal point at the moment according to the force magnitude of the effective occlusal point at the moment, the occlusal transmission coefficient of the effective occlusal point to each surrounding effective occlusal point, and the force magnitudes and force effectiveness of each surrounding effective occlusal point; determining the main occlusal points at each moment according to the central evaluations of each effective occlusal point at each moment.

[0053] Among them, the surrounding effective occlusal points are the effective occlusal points within a preset surrounding range. For example: the surrounding effective occlusal points can be the 20 effective occlusal points with the closest distance.

[0054] In one embodiment, the force magnitudes of each effective occlusal point at each moment are obtained, and an effective occlusal point influence relationship is established based on the paths between the effective occlusal points. Respectively for every two effective occlusal points, the shortest path passed through other effective occlusal points between these two effective occlusal points is recorded as the distance between these two effective occlusal points. As Figure 3 shown, the path from the m-th effective occlusal point to the k-th effective occlusal point is shown, and the distance between the m-th effective occlusal point and the k-th effective occlusal point is . Among them, , , are respectively the lengths of the first section, the second section, and the third section passed by the shortest path from the m-th effective occlusal point to the k-th effective occlusal point. The connection line between adjacent effective occlusal points is a section.

[0055] In one embodiment, the occlusal transmission coefficient between effective occlusal points is negatively correlated with the distance between effective occlusal points. The occlusal transmission coefficient between effective occlusal points is positively correlated with the force difference between effective occlusal points. It can be understood that the closer the distance, the stronger the force transmission between effective occlusal points; the greater the force difference, the stronger the force transmission between effective occlusal points.

[0056] In one embodiment, the occlusal transmission coefficient between effective occlusal points can be determined according to the ratio of the force difference between effective occlusal points to the distance.

[0057] In one embodiment, the occlusal transmission coefficient between effective occlusal points can be determined according to the following formula: Among them, represents the occlusal transmission coefficient of the m-th effective occlusal point to the k-th effective occlusal point at the t-th moment. represents the magnitude of the force on the m-th effective occlusal point at the t-th moment. represents the magnitude of the force on the k-th effective occlusal point at the t-th moment. represents the force difference between the m-th effective occlusal point and the k-th effective occlusal point at the t-th moment. represents the distance between the m-th effective occlusal point and the k-th effective occlusal point. represents the linear normalization function.

[0058] In one embodiment, the central evaluation of the effective occlusal point is positively correlated with the magnitude of the force on the effective occlusal point, the occlusal transmission coefficient of each effective occlusal point to each surrounding effective occlusal point, and the magnitude and force effectiveness of the forces on each surrounding effective occlusal point.

[0059] In one embodiment, for each effective occlusal point at each moment, the occlusal transmission coefficient of the effective occlusal point to each surrounding effective occlusal point, and the magnitude and force effectiveness of the forces on each surrounding effective occlusal point are multiplied respectively, then the products are summed, and the sum result is added to the magnitude of the force on the effective occlusal point at this moment to obtain the central evaluation of the effective occlusal point at this moment. The formula is as follows: where, represents the central evaluation of the m-th effective occlusal point at the t-th moment. The magnitude of the force on the m-th effective occlusal point at the t-th moment. represents the force effectiveness of the i-th surrounding effective occlusal point of the m-th effective occlusal point. represents the occlusal transmission coefficient of the m-th effective occlusal point to the i-th surrounding effective occlusal point at the t-th moment. represents the magnitude of the force on the i-th surrounding effective occlusal point of the m-th effective occlusal point at the t-th moment. represents the preset surrounding range, that is, the number of surrounding effective occlusal points. For example: j = 20 means that the 20 effective occlusal points closest to the -th effective occlusal point are used as the surrounding effective occlusal points.

[0060] In one embodiment, based on the central evaluations of the effective occlusal points at one moment, the occlusal center field at this moment can be established.

[0061] In one embodiment, the central evaluations of the effective occlusal points at each moment can be clustered, and the main occlusal points at each moment can be determined according to the clustering results.

[0062] In the above embodiments, when occlusal slip occurs during the occlusal process, in addition to the adverse forces on the teeth where occlusal slip occurs, the teeth at other positions that are highly correlated with the forces on this tooth will also be affected. Therefore, by combining the force magnitudes of the effective occlusal points at each moment during the occlusal process and the influence of their forces on the surrounding effective occlusal points, an occlusal center field is established at each moment. The main distribution of the direct forces (the forces on the effective occlusal points themselves) and indirect forces (the superposition of the influences from other occlusal points) at each moment can be accurately reflected by the occlusal center field, and the main occlusal points can be accurately determined. Since the occlusal transmission coefficient can accurately reflect the ability of an effective occlusal point to transmit forces to other effective occlusal points, by combining the force magnitudes of each effective occlusal point itself and the superposition of the transmission situations of the surrounding effective occlusal points, the central evaluation of each effective occlusal point can be accurately determined.

[0063] In one embodiment, the main occlusal points at each moment are determined according to the central evaluation of each effective occlusal point at each moment, including: for each moment, clustering the central evaluations of the effective occlusal points at that moment to obtain two clusters; determining the cluster with a larger average value of the central evaluation as the target cluster; removing the outlier effective occlusal points from the effective occlusal points in the target cluster, and taking the remaining effective occlusal points in the target cluster as the main occlusal points at that moment.

[0064] In one embodiment, the k-means clustering method can be used for clustering, where k = 2.

[0065] In one embodiment, an outlier effective occlusal point can be an effective occlusal point whose number of adjacent effective occlusal points in the target cluster is less than or equal to a preset number. The preset number can be set to 3. That is, remove the effective occlusal points whose number of adjacent effective occlusal points is less than or equal to 3 from the target cluster, and take the remaining effective occlusal points in the target cluster as the main occlusal points at that moment.

[0066] In the above embodiments, by clustering based on the central evaluation of each effective occlusal point at each moment, the main occlusal points at each moment can be accurately determined. Furthermore, the main occlusal area where direct forces or indirect forces are concentrated can be accurately determined according to the main occlusal points, which is convenient for force analysis of the area where forces are concentrated.

[0067] In one embodiment, the slip tendency includes a slip influence degree and a slip influence vector; determining the slip tendency of each main occlusal point at each moment includes: determining a plurality of main occlusal regions composed of each main occlusal point; for each moment respectively, determining the overall deviation coefficient at the moment according to the deviation conditions of each main occlusal region relative to the tooth surface reference curve at the moment; for each main occlusal point at each moment respectively, determining the slip influence degree of the main occlusal point at the moment according to the overall deviation coefficient at the moment, the central evaluation of the main occlusal point at the moment, the time interval since the last time it was a main occlusal point, and the position condition of the main occlusal region where it is located; taking the main occlusal point as the starting point, taking the direction with the smallest distance from the center of the main occlusal region where the main occlusal point is located at each moment to the tooth surface reference curve as the vector direction, and taking the slip influence degree of the main occlusal point at the moment as the modulus of the vector, constructing the slip influence vector of the main occlusal point at the moment.

[0068] Among them, the tooth surface reference curve is a reference curve made according to the centers of the tooth surfaces of each tooth. As Figure 4 shown, it is a schematic diagram of the tooth surface reference curve. The concave side of the tooth surface reference curve is denoted as the inner side, and the other side is denoted as the outer side. The tooth surface reference curve is used to verify the deviation of the main occlusal region. The main occlusal region is the region where direct or indirect force concentration occurs. When occlusion deviation occurs, the force on the tooth will concentrate in the deviated direction, resulting in the main occlusal region of the tooth changing from being originally dispersed on the tooth surface to being concentrated and biased towards a certain local part of the tooth surface.

[0069] In one embodiment, the deviation condition of the main occlusal region relative to the tooth surface reference curve may include the position coefficient of the main occlusal region and the minimum distance from the main occlusal region to the tooth surface reference curve. The overall deviation coefficient at the moment can be determined according to the position coefficient and the minimum distance of each main occlusal region relative to the tooth surface reference curve at the moment.

[0070] Among them, the position coefficient is used to characterize the orientation of the main occlusal region relative to the tooth surface reference curve. The orientation may include being located on the inner side of the tooth surface reference curve, the outer side, and on the tooth surface reference curve. For example: when the main occlusal region is located on the inner side of the tooth surface reference curve, the position coefficient takes a value of -1; when the main occlusal region is located on the outer side of the tooth surface reference curve, the position coefficient takes a value of 1; when the main occlusal region is located on the tooth surface reference curve, the position coefficient takes a value of 0.

[0071] In one embodiment, the overall deviation coefficient is positively correlated with the position coefficient and the minimum distance of each main occlusal region relative to the tooth surface reference curve.

[0072] In one embodiment, for each moment, calculate the product of the position coefficient and the minimum distance of each main occlusal area relative to the tooth surface reference curve at that moment, and average the products corresponding to each main occlusal area to obtain the overall deviation coefficient at that moment. The formula is as follows: Wherein, represents the overall deviation coefficient at the t-th moment. represents the position coefficient of the r-th main occlusal area at the t-th moment. represents the minimum distance from the r-th main occlusal area to the tooth surface reference curve at the t-th moment. represents the number of main occlusal areas at the t-th moment. represents the hyperbolic tangent function, which is used for normalization, and the normalized range is [-1, 1].

[0073] It can be understood that the overall deviation coefficient reflects the overall deviation trend shown by each main occlusal area at the corresponding moment. The more normal the occlusion, the closer the overall deviation coefficient tends to 0.

[0074] In one embodiment, the position situation of the main occlusal area where the main occlusal point is located may include the position coefficient of the main occlusal area where the main occlusal point is located, and the minimum distance from the center of the main occlusal area where the main occlusal point is located to the tooth surface reference curve.

[0075] In one embodiment, the slip influence degree of the main occlusal point can be determined according to the following formula: Wherein, represents the slip influence degree of the m-th main occlusal point at the t-th moment. represents the position coefficient of the main occlusal area where the m-th main occlusal point is located at the t-th moment. represents the overall deviation coefficient at the t-th moment. When the slip trend of the m-th main occlusal point is consistent with the overall trend, the result of is positive, and vice versa. represents the minimum distance from the center of the main occlusal area where the m-th main occlusal point is located to the tooth surface reference curve at the t-th moment. represents the time interval between the m-th main occlusal point at the t-th moment and the previous time when it was the main occlusal point. represents the central evaluation of the m-th main occlusal point at the t-th moment.

[0076] It can be understood that since the main occlusal points at different moments may be different, some occlusal points are main occlusal points at certain moments while not at other moments. Therefore, if the m-th main occlusal point is not a main occlusal point at the t-th moment, the minimum distance from the center of the main occlusal area where the point was a main occlusal point last time to the tooth surface reference curve is taken as ; if the m-th main occlusal point has never been a main occlusal point before the t-th moment, then the value is taken as 0. If the m-th main occlusal point is a main occlusal point at the t-th moment, then the value is taken as 0.

[0077] In the above embodiments, when the patient's biting action is incorrect, it will cause abnormal force on some tooth surfaces, such as uneven force distribution on the tooth surface or even occlusion blockage and slippage towards adjacent teeth. If the upper and lower teeth occlude normally, ideally they occlude tightly and the force on the tooth surface changes stably. At this time, the distribution of the main occlusal points is relatively dispersed, while when the occlusion is incorrect, the main occlusal points will deviate towards a certain direction and further deviate as the biting action progresses. Therefore, analyze the concentration of the distribution of the occlusal center field during the occlusion process. When slippage occurs during tooth occlusion, the force on the occlusal point will change significantly due to the deviation of the tooth, for example, the original occlusal surface completely slips to another tooth surface. When the slippage trend of the main occlusal point is more consistent with the overall deviation trend, then the overall deviation promotes the slippage of this part, which may further increase its slippage degree and have a greater impact on other occlusal points. Therefore, the deviation of the main occlusal area where the main occlusal point is located from the reference curve and the size of the center evaluation are used to reflect the slippage intensity. By combining the trend and the size of the slippage intensity, the influence degree of the slippage of the corresponding occlusal point at this moment on other occlusal points can be obtained accurately, and then the slippage influence degree can be accurately obtained. Then, starting from the main occlusal point, taking the direction with the minimum distance from the center of the main occlusal area where the main occlusal point is located at each moment to the tooth surface reference curve as the vector direction, and taking the slippage influence degree of the main occlusal point at the moment as the modulus of the vector, the slippage influence vector of the main occlusal point at the moment is constructed. The slippage influence vector reflects the slippage deviation trend of the main occlusal point at the current moment. The greater this trend, the greater the impact on other occlusal points in its deviation direction. Therefore, based on the slippage influence vector, accurate force analysis is facilitated.

[0078] In one embodiment, the slip tendency includes a slip influence degree and a slip influence vector; the slip transfer tendency includes a slip transfer coefficient and a main slip transfer direction; according to the force transfer situation between the slip tendency and the main occluding points, the slip transfer tendency of each target occluding point at each moment is determined, including: for each target occluding point at each moment, determining the angle between the line connecting each main occluding point to the target occluding point and the slip influence vector of the main occluding point, to obtain the acting angle of each main occluding point on the target occluding point; according to the occluding transfer coefficient and the acting angle of each main occluding point on the target occluding point, and the slip influence degree of each main occluding point, determining the slip transfer coefficient of the target occluding point at the moment; according to the acting angle of each main occluding point on the target occluding point, and the slip influence vector of each main occluding point, determining the main slip transfer direction of the target occluding point at the moment.

[0079] Among them, the value range of the acting angle of the main occluding point on the target occluding point is . The smaller the acting angle, the more direct the effect of the slip influence of the main occluding point on the target occluding point. When the acting angle is greater than 90°, it means that the direction of the slip influence of the main occluding point is opposite to the direction where the target occluding point is located, and the slip influence of the main occluding point will not cause an increase in the force on the target occluding point.

[0080] In one embodiment, the slip transfer coefficient of the target occluding point is positively correlated with the occluding transfer coefficient of each main occluding point on the target occluding point, and the slip influence degree of each main occluding point. The slip transfer coefficient of the target occluding point is negatively correlated with the acting angle of the main occluding point on the target occluding point.

[0081] In one embodiment, for each target occluding point at each moment, calculate the product of the occluding transfer coefficient, the cosine value of the acting angle, and the slip influence degree of each main occluding point on the target occluding point at that moment, and sum the products corresponding to each main occluding point, to obtain the slip transfer coefficient of the target occluding point at that moment.

[0082] In one embodiment, the slip transfer coefficient of the target occluding point can be determined according to the following formula: Among them, represents the slip transfer coefficient of the r-th target occluding point at the t-th moment. represents the occluding transfer coefficient of the m-th main occluding point on the r-th target occluding point at the t-th moment. represents the acting angle of the m-th main occluding point on the r-th target occluding point at the t-th moment. represents the slip influence degree of the m-th main occluding point at the t-th moment. represents the ReLU function, and the expression of this function is , the function is used to filter out the cases where the acting included angle is greater than 90°. It represents the number of main occluding points.

[0083] In one embodiment, for each target occluding point at each moment, according to the cosine value of the acting included angle of each main occluding point on the target occluding point at this moment, the main occluding points with an acting included angle less than 90° (i.e., the cosine value is greater than 0) are determined as the target main occluding points, the slip influence vectors corresponding to each target main occluding point are added to obtain a vector sum, and the direction of the vector sum is used as the main direction of slip transmission of the target occluding point at this moment.

[0084] In the above embodiment, for each target occluding point at each moment, the included angle between the line connecting each main occluding point to the target occluding point and the slip influence vector of the main occluding point is determined to obtain the acting included angle of each main occluding point on the target occluding point, which can accurately measure the magnitude of the action of the slip influence of the main occluding point on the target occluding point. According to the occluding transmission coefficient, acting included angle of each main occluding point on the target occluding point, and the slip influence degree of each main occluding point, the slip transmission coefficient of the target occluding point at the moment can be accurately determined. Finally, according to the acting included angle of each main occluding point on the target occluding point and the slip influence vectors of each main occluding point, the main direction of slip transmission of the target occluding point at the moment can be accurately determined.

[0085] In one embodiment, the slip trend includes the slip influence degree; the slip transmission trend includes the slip transmission coefficient and the main direction of slip transmission; according to the slip trend and slip transmission trend of the target occluding point at each moment, the shape control coefficient of the adjacent voxel of the target occluding point on the transparent bracket is determined, including: for each adjacent voxel of each target occluding point on the transparent bracket, according to the slip influence degree of the target occluding point at each moment and the slip transmission coefficient corresponding to each target slip transmission main direction passing through the adjacent voxel in the main directions of slip transmission of the target occluding point at each moment, the shape control coefficient of the adjacent voxel is determined.

[0086] Among them, the target slip transmission main direction refers to the slip transmission main direction passing through the adjacent voxel in the main directions of slip transmission of the target occluding point at each moment.

[0087] In one embodiment, for each adjacent voxel of each target occluding point on the transparent bracket, the average value of the slip influence degrees of the target occluding point at each moment is determined, and according to the average value and the slip transmission coefficient corresponding to each target slip transmission main direction passing through the adjacent voxel in the main directions of slip transmission of the target occluding point at each moment, the shape control coefficient of the adjacent voxel is determined.

[0088] In one embodiment, the slip transfer coefficients corresponding to the respective target slip transfer main directions passing through adjacent voxels can be summed, and then, based on the sum and the sum of the average values, the shape control coefficient of the adjacent voxels can be determined. The formula is as follows: Wherein, represents the shape control coefficient of the y-th adjacent voxel of the voxel where the r-th target occlusal point is located. represents the average value of the slip influence degrees of the r-th target occlusal point at each moment during the occlusion process. represents the slip transfer coefficient corresponding to the n-th target slip transfer main direction passing through the y-th adjacent voxel. represents the number of target slip transfer main directions of the y-th adjacent voxel of the voxel where the r-th target occlusal point is located. represents the linear normalization function.

[0089] Figure 5 is a schematic diagram of the target slip transfer main directions passing through adjacent voxels. Each square in the figure represents a voxel on the transparent bracket. The square where r is located represents the voxel where the target occlusal point is located, and the 4 surrounding squares represent the adjacent voxels of the target occlusal point. The arrows in the figure represent the target slip transfer main directions at each moment. The numbers in the squares corresponding to the adjacent voxels in the figure represent the number of target slip transfer main directions passing through the voxel. For example: there is one slip transfer main direction passing through the uppermost voxel in the figure, so the number in the uppermost voxel is 1.

[0090] In the above embodiment, since slip occurring in a certain direction indicates insufficient resistance in that direction, then it is necessary to adjust its shape with the assistance of the transparent bracket to minimize the slip situation as much as possible. Based on the slip occurring at the target occlusal point itself and the slip transfer it receives, the shape control coefficient of the adjacent voxels can be accurately determined.

[0091] In one embodiment, the processor runs the executable program code and also implements the following steps: determine the adjusted height value of the corresponding voxel on the transparent bracket according to the shape control coefficients of the respective adjacent voxels of each target occlusal point; the adjusted height value is used as the target adjustment value to adjust the height of the corresponding voxel on the transparent bracket.

[0092] It can be understood that the shape control coefficients of the adjacent voxels are determined respectively based on each target occlusal point, so that each voxel on the transparent bracket obtains multiple shape control coefficients. For each voxel, the average value of the respective shape control coefficients corresponding to the voxel can be calculated to obtain the final shape control coefficient of the voxel. According to the final shape control coefficients corresponding to each voxel respectively, the adjusted height value of each voxel is determined.

[0093] In one embodiment, the adjusted height value of a voxel can be determined according to the following formula: Wherein, represents the adjusted height value of the voxel. represents the learning rate preset by the system. For example, it can be set to . represents the final shape control coefficient of the voxel. represents the height value of the voxel before adjustment.

[0094] In the above embodiment, based on the shape control coefficient, the shape of the denture bracket model is adjusted to increase the height of the bracket here to hinder the possible tooth slippage, so as to disperse the force on the denture and slow down the wear of the denture.

[0095] In one embodiment, the processor runs the executable program code and also implements the following steps: after adjusting the height of the voxels on the transparent bracket, return to execute the steps of screening effective occlusion points and subsequent steps according to the force conditions during the tooth occlusion process in the state of installing the partial denture and the transparent bracket, so as to determine a new shape control coefficient, and adjust the transparent bracket again based on the new shape control coefficient.

[0096] In the above embodiment, since adjusting the denture bracket may change the patient's biting action habit, the occlusion relationship and force conditions of each occlusion point in the oral cavity will also change. Analyze the force conditions of the occlusion points again during the subsequent use process, judge the parts where the slippage problem may exist, calculate the shape control coefficient, and perform optimization adjustment on the parts where problems may exist again, realizing the dynamic prediction and adjustment of the occlusion relationship of the partial denture transparent bracket.

[0097] After obtaining the optimization result of the denture transparent bracket, process the transparent bracket based on the optimization result. During the bracket processing, monitor the various processing parameters of the bracket in real time to facilitate adjusting the processing parameters so that the processing result meets the expectations. During the processing, a variety of processing methods are required to optimize the surface finish and transparency of the transparent bracket while avoiding affecting the performance of the transparent bracket.

[0098] The technical requirements for the various processing parameters of a single transparent bracket are as follows: the size deviation of the transparent bracket ≤ ±0.3 mm; the surface roughness Ra of the bracket ≤ 0.8 μm; the production cycle of a single transparent bracket ≤ 4 h, and the production cycle refers to the entire process from modeling to the finished product; the processing time of a single transparent bracket ≤ 30 min, and the processing content includes polishing, sandblasting, etc.

[0099] Refer to Figure 6, which is the overall flowchart of the steps implemented by the dynamic prediction system for the occlusion relationship of the partial denture transparent stent in each embodiment of the present invention, includes the following steps: collecting the forces during occlusion; preliminarily screening effective force points (i.e., effective occlusion points); analyzing the overall deviation of occlusion; analyzing the slip of each occlusion point; analyzing the slip transfer at the denture; determining the shape control coefficient.

[0100] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0101] The above-described embodiments only represent several implementation manners of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can be made, and these all belong to the protection scope of the present application.

[0102] It should be noted that: the above sequence of the embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0103] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the key point of each embodiment is to illustrate the differences from other embodiments.

Claims

1. A dynamic prediction system for the occlusion relationship of a partial denture transparent stent, characterized in that, The system includes a memory and a processor; the memory stores executable program code; the processor runs the executable program code to implement the following steps: According to the force conditions during the tooth occlusion process in the state of installing the partial denture and the transparent stent, screen the effective occlusion points; According to the force magnitudes and force superposition conditions of each of the effective occlusion points at each moment, determine the main occlusion points at each moment; Determine the slip trend of each of the main occlusion points at each moment; According to the slip trend and the force transmission condition between the main occlusion points, determine the slip transmission trend of each target occlusion point at each moment; the target occlusion point is the main occlusion point on the partial denture; According to the slip trend and the slip transmission trend of the target occlusion point at each moment, determine the shape control coefficient of the adjacent voxels of the target occlusion point on the transparent stent.

2. The dynamic prediction system for the occlusion relationship of the partial denture transparent stent according to claim 1, wherein The step of screening the effective occlusion points according to the force conditions during the tooth occlusion process in the state of installing the partial denture and the transparent stent includes: According to the force magnitudes of each occlusion point at each moment during the tooth occlusion process in the state of installing the partial denture and the transparent stent, determine the force effectiveness of each occlusion point; According to the force effectiveness of each occlusion point, screen the effective occlusion points from each occlusion point.

3. The dynamic prediction system for the occlusion relationship of the partial denture transparent stent according to claim 2, characterized in that The step of determining the force effectiveness of each occlusion point according to the force magnitudes of each occlusion point at each moment during the tooth occlusion process in the state of installing the partial denture and the transparent stent includes: For each occlusion point during the tooth occlusion process in the state of installing the partial denture and the transparent stent, respectively, according to the maximum force of the occlusion point and the force difference between the occlusion point and the average force of each surrounding occlusion point of the occlusion point, determine the force effectiveness of the occlusion point.

4. The dynamic prediction system for the occlusal relationship of a partial denture transparent stent according to claim 2, wherein The step of determining the main occlusion points at each moment according to the force magnitudes and force superposition conditions of each of the effective occlusion points at each moment includes: According to the distance between each of the effective occlusion points and the force difference at each moment, determine the occlusion transmission coefficient between each of the effective occlusion points at each moment; For each effective occlusion point at each moment respectively, according to the force magnitude of the effective occlusion point at the moment, the occlusion transmission coefficient of the effective occlusion point to each surrounding effective occlusion point, and the force magnitudes and force effectiveness of each surrounding effective occlusion point, determine the central evaluation of the effective occlusion point at the moment; According to the central evaluations of each of the effective occlusion points at each moment, determine the main occlusion points at each moment.

5. The dynamic prediction system for the occlusion relationship of a partial denture transparent stent according to claim 4, wherein, The step of determining the main occlusion points at each moment according to the central evaluations of each of the effective occlusion points at each moment includes: For each moment respectively, cluster the central evaluations of each of the effective occlusion points at the moment to obtain two clustering clusters; Determine the clustering cluster with a larger average value of the central evaluation as the target clustering cluster; Remove the outlier effective occlusion points from the effective occlusion points in the target clustering cluster, and use the remaining effective occlusion points in the target clustering cluster as the main occlusion points at the moment.

6. The dynamic prediction system for the occlusal relationship of a partial denture transparent stent according to claim 4, characterized in that, The slip trend includes a slip influence degree and a slip influence vector; Determining the slip trend of each of the main occlusal points at each moment includes: Determining a number of main occlusal regions composed of each of the main occlusal points; For each moment respectively, determining the overall deviation coefficient at the moment according to the deviation conditions of each of the main occlusal regions relative to the tooth surface reference curve at the moment; For each of the main occlusal points at each moment respectively, determining the slip influence degree of the main occlusal point at the moment according to the overall deviation coefficient at the moment, the central evaluation of the main occlusal point at the moment, the time interval from the last time as the main occlusal point, and the position condition of the main occlusal region where it is located; Taking the main occlusal point as the starting point, taking the direction with the smallest distance from the center of the main occlusal region where the main occlusal point is located at each moment to the tooth surface reference curve as the vector direction, and taking the slip influence degree of the main occlusal point at the moment as the modulus of the vector, constructing the slip influence vector of the main occlusal point at the moment; 7. The dynamic prediction system for the occlusion relationship of a partial denture transparent stent according to claim 4, wherein The slip trend includes the slip influence degree and the slip influence vector; the slip transfer trend includes the slip transfer coefficient and the main slip transfer direction; Determining the slip transfer trend of each target occlusal point at each moment according to the slip trend and the force transfer situation between the main occlusal points includes: For each target occlusal point at each moment respectively, determining the included angle between the connection line from each of the main occlusal points to the target occlusal point and the slip influence vector of the main occlusal point, to obtain the acting included angle of each of the main occlusal points on the target occlusal point; Determining the slip transfer coefficient of the target occlusal point at the moment according to the occlusal transfer coefficient and the acting included angle of each of the main occlusal points on the target occlusal point, and the slip influence degree of each of the main occlusal points; Determining the main slip transfer direction of the target occlusal point at the moment according to the acting included angle of each of the main occlusal points on the target occlusal point, and the slip influence vector of each of the main occlusal points; 8. The dynamic prediction system for the occlusal relationship of the partial denture transparent bracket according to claim 1, characterized in that, The slip trend includes the slip influence degree; the slip transfer trend includes the slip transfer coefficient and the main slip transfer direction; Determining the shape control coefficient of the adjacent voxels of the target occlusal point on the transparent bracket according to the slip trend and the slip transfer trend of the target occlusal point at each moment includes: For each adjacent voxel of each of the target occlusal points on the transparent bracket respectively, determining the shape control coefficient of the adjacent voxel according to the slip influence degree of the target occlusal point at each moment, and the slip transfer coefficients corresponding to each target slip transfer main direction passing through the adjacent voxel among the main slip transfer directions of the target occlusal point at each moment; 9. The dynamic prediction system for the occlusion relationship of a partial denture transparent stent according to any one of claims 1 to 8, characterized in that When the processor runs the executable program code, the following steps are also implemented: Determining the adjusted height value of the corresponding voxel on the transparent bracket according to the shape control coefficients of the adjacent voxels of each of the target occlusal points; The adjusted height value is used as the target adjustment value to adjust the height of the corresponding voxel on the transparent bracket.

10. The dynamic prediction system for the occlusion relationship of the partial denture transparent stent according to claim 9, characterized in that, The processor runs the executable program code and further implements the following steps: After adjusting the height of the voxels on the transparent stent, return to execute the steps of screening effective occlusion points and subsequent steps according to the force conditions during the tooth occlusion process in the state of installing the partial denture and the transparent stent, so as to determine a new shape control coefficient, and adjust the transparent stent again based on the new shape control coefficient.

Images