Data processing method and device for oral cavity model

Abstract

The invention discloses a data processing method and device for an oral cavity model, and relates to the technical field of oral cavity health assessment. According to the data processing method of the oral cavity model, the oral cavity model data is read, the tooth structure, gum and embedded health indexes are calculated, the comprehensive evaluation index of oral cavity health is generated through comprehensive analysis, whether the health state is normal or not is judged, and the abnormal index is accurately recognized. According to the method, the tooth structure health, gingival health and tooth embedding health conditions of the oral cavity are comprehensively evaluated, various health indexes of the upper jaw and the lower jaw are calculated respectively, then comprehensive analysis is conducted, local abnormal problems can be effectively found, and a scientific basis is provided for overall evaluation. The coefficients stored in the database are introduced into the comprehensive evaluation formula, it is ensured that evaluation results of different individuals better fit the actual conditions, the accuracy and adaptability of analysis results are improved, and therefore more reliable data support is provided for clinical diagnosis.

Description

Technical Field

[0001] The present invention relates to the technical field of oral health assessment, and specifically to a data processing method and device for oral models. Background Art

[0002] With the development of oral medicine, the assessment of oral health has gradually shifted from traditional manual observation and empirical judgment to data-driven analysis methods. Modern digital oral model technology has been widely applied in multiple fields such as orthodontics, dental implant design, and periodontal disease diagnosis. These technologies provide scientific basis for doctors through precise acquisition and analysis of oral models, effectively improving the efficiency of diagnosis and treatment.

[0003] The application of digital technology makes oral data acquisition more efficient and accurate. In addition, the rise of artificial intelligence and big data analysis technologies also provides new possibilities for the processing methods of oral models. With the progress of digital and intelligent technologies, the data processing method of oral models has become an important research direction in oral medicine. How to make full use of modern technologies to conduct multi-dimensional comprehensive assessment of oral health has become a key topic to promote the further development of oral medicine.

[0004] The limitations of the existing technologies at least include the following problems. First, in the existing oral model health assessment methods, it is limited to parameter assessment of the health status of only a single dimension of the oral cavity, lacking a global and comprehensive analysis of oral models, and failing to fully consider the relevance and interaction between tooth structure, gum health, and tooth embedding state. As a result, it is easy to cause the assessment results of each dimension not to match each other, making it difficult to accurately reflect the comprehensive health status of the entire oral cavity. Second, there is a lack of overall collaborative analysis of the upper jaw teeth, lower jaw teeth, gums, and jawbone in the existing technologies, especially insufficient in-depth analysis of key parameters such as tooth state, pressure distribution, and the distance between teeth and jawbone. As a result, it is easy to overlook some subtle but important abnormalities during the assessment process, ultimately leading to the assessment results deviating from the actual health status and being unfavorable for achieving accurate diagnosis. Summary of the Invention

[0005] Aiming at the deficiencies of the existing technologies, the present invention provides a data processing method and device for oral models, which solves the problems in the existing technologies of lacking global and comprehensive analysis of oral model health assessment and failing to fully consider the relevance between tooth structure, gum health, and tooth embedding state.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A method for processing oral model data, comprising the following steps: reading the oral model data to be analyzed, and performing data analysis respectively to obtain a set of tooth structure health assessment indexes, a set of gum health assessment indexes, and a set of tooth embedding health assessment indexes for the oral cavity to be analyzed. The oral model data includes oral upper jaw tooth state data, the upper jaw gum thickness value in the oral upper jaw, oral lower jaw tooth state data, and the lower jaw gum thickness value in the oral lower jaw; comprehensively analyzing the set of tooth structure health assessment indexes, the set of gum health assessment indexes, and the set of tooth embedding health assessment indexes for the oral cavity to be analyzed to obtain the tooth structure health assessment index, the gum health assessment index, and the tooth embedding health assessment index for the oral cavity to be analyzed; comprehensively analyzing the tooth structure health assessment index, the gum health assessment index, and the tooth embedding health assessment index for the oral cavity to be analyzed to obtain the comprehensive oral health assessment index for the oral cavity to be analyzed; determining whether the comprehensive oral health assessment index of the oral cavity to be analyzed is within a preset oral health assessment range; if the comprehensive oral health assessment index of the oral cavity to be analyzed is within the preset oral health assessment range, then mark the oral model to be analyzed as normal; if the comprehensive oral health assessment index of the oral cavity to be analyzed is outside the preset oral health assessment range, then mark the oral model to be analyzed as abnormal.

[0007] Further, the oral upper jaw tooth state data includes the contact force value, contact area value, pressure difference value between each group of adjacent upper jaw teeth, distance value between each upper jaw tooth and the surface of the upper jaw bone at the corresponding position, and compression deformation amount of each upper jaw tooth on the upper jaw gum in the oral upper jaw. The oral lower jaw tooth state data includes the contact force value, contact area value, pressure difference value between each group of adjacent lower jaw teeth, distance value between each lower jaw tooth and the surface of the lower jaw bone at the corresponding position, and compression deformation amount of each lower jaw tooth on the lower jaw gum in the oral lower jaw. The set of tooth structure health assessment indexes includes the upper jaw tooth structure health assessment index and the lower jaw tooth structure health assessment index. The set of gum health assessment indexes includes the upper jaw gum health assessment index and the lower jaw gum health assessment index. The set of tooth embedding health assessment indexes includes the upper jaw tooth embedding health assessment index and the lower jaw tooth embedding health assessment index.

[0008] Further, the specific formula for calculating the comprehensive oral health assessment index of the oral cavity to be analyzed is as follows: ; where is the comprehensive oral health assessment index of the oral cavity to be analyzed, is the tooth structure health assessment index of the oral cavity to be analyzed, is the tooth structure assessment coefficient stored in the database, is the gum health assessment index of the oral cavity to be analyzed, is the gingival evaluation coefficient stored in the database, is the tooth embedding health evaluation index of the oral cavity to be analyzed, is the tooth embedding evaluation coefficient stored in the database, is the attenuation adjustment factor stored in the database, , is the natural constant.

[0009] Furthermore, the specific steps to obtain the tooth structure health evaluation index set and the tooth structure health evaluation index of the oral cavity to be analyzed are as follows: Read the contact force values, contact area values, and pressure differences between each group of adjacent upper teeth in the oral palate of the oral cavity to be analyzed, and conduct a comprehensive analysis to obtain the upper tooth structure health evaluation index of the oral cavity to be analyzed; Read the contact force values, contact area values, and pressure differences between each group of adjacent lower teeth in the oral mandible of the oral cavity to be analyzed, and conduct a comprehensive analysis to obtain the lower tooth structure health evaluation index of the oral cavity to be analyzed; Conduct a comprehensive analysis of the upper tooth structure health evaluation index and the lower tooth structure health evaluation index of the oral cavity to be analyzed to obtain the tooth structure health evaluation index of the oral cavity to be analyzed.

[0010] Furthermore, the specific formulas for calculating the upper tooth structure health evaluation index, the lower tooth structure health evaluation index, and the tooth structure health evaluation index of the oral cavity to be analyzed are as follows: ; where, is the upper tooth structure health evaluation index of the oral cavity to be analyzed, is the contact force value between the th upper tooth and the upper gingiva in the oral palate of the oral cavity to be analyzed, is the contact area value between the th upper tooth and the upper gingiva in the oral palate of the oral cavity to be analyzed, is the pressure difference between the th group of adjacent upper teeth in the oral palate of the oral cavity to be analyzed, is the maximum pressure difference between adjacent upper teeth stored in the database, is the lower tooth structure health evaluation index of the oral cavity to be analyzed, is the contact force value between the th lower tooth and the lower gingiva in the oral mandible of the oral cavity to be analyzed, is the contact area value between the th lower tooth and the lower gingiva in the oral mandible of the oral cavity to be analyzed, is the pressure difference between the th group of adjacent lower teeth in the oral mandible of the oral cavity to be analyzed, is the maximum pressure difference between adjacent lower teeth stored in the database, is the dental structure health assessment index of the oral cavity to be analyzed, is the upper jaw dental structure assessment coefficient stored in the database, is the lower jaw dental structure assessment coefficient stored in the database, , , is the number of upper jaw teeth in the upper jaw of the oral cavity, , is the number of groups of adjacent upper jaw teeth in the upper jaw of the oral cavity, , is the number of lower jaw teeth in the lower jaw of the oral cavity, , is the number of groups of adjacent lower jaw teeth in the lower jaw of the oral cavity.

[0011] Furthermore, the specific steps to obtain the gingival health assessment index set and the gingival health assessment index of the oral cavity to be analyzed are as follows: Read the upper jaw gingival thickness value and the compression deformation amount of each upper jaw tooth on the upper jaw gingiva in the upper jaw of the oral cavity to be analyzed, and conduct a comprehensive analysis to obtain the upper jaw gingival health assessment index of the oral cavity to be analyzed; Read the lower jaw gingival thickness value and the compression deformation amount of each lower jaw tooth on the lower jaw gingiva in the lower jaw of the oral cavity to be analyzed, and conduct a comprehensive analysis to obtain the lower jaw gingival health assessment index of the oral cavity to be analyzed; Conduct a comprehensive analysis of the upper jaw gingival health assessment index and the lower jaw gingival health assessment index of the oral cavity to be analyzed to obtain the gingival health assessment index of the oral cavity to be analyzed.

[0012] Furthermore, the specific formulas for calculating the upper jaw gingival health assessment index, the lower jaw gingival health assessment index, and the gingival health assessment index of the oral cavity to be analyzed are as follows: ; where, is the upper jaw gingival health assessment index of the oral cavity to be analyzed, is the compression deformation amount of the th upper jaw tooth on the upper jaw gingiva in the upper jaw of the oral cavity to be analyzed, is the upper jaw gingival thickness value in the upper jaw of the oral cavity to be analyzed, is the lower jaw gingival health assessment index of the oral cavity to be analyzed, is the compression deformation amount of the th lower jaw tooth on the lower jaw gingiva in the lower jaw of the oral cavity to be analyzed, is the lower jaw gingival thickness value in the lower jaw of the oral cavity to be analyzed, is the gingival health assessment index of the oral cavity to be analyzed, is the upper jaw gingival health assessment coefficient stored in the database, is the lower jaw gingival health assessment coefficient stored in the database, , , is the number of upper jaw teeth in the upper jaw of the oral cavity, , is the number of lower jaw teeth in the lower part of the oral cavity mandible.

[0013] Furthermore, the specific steps to obtain the tooth embedding health assessment index set and the tooth embedding health assessment index of the oral cavity to be analyzed are as follows: Read the distance values between each upper jaw tooth in the upper jaw of the oral cavity to be analyzed and the surface of the upper jaw bone at the corresponding position, and conduct comprehensive analysis to obtain the reference distance of the upper jaw teeth in the oral cavity to be analyzed; Combine the reference distance of the upper jaw teeth in the oral cavity to be analyzed with the distance values between each upper jaw tooth in the upper jaw of the oral cavity to be analyzed and the surface of the upper jaw bone at the corresponding position for comprehensive analysis to obtain the upper jaw tooth embedding health assessment index of the oral cavity to be analyzed; Read the distance values between each lower jaw tooth in the lower jaw of the oral cavity to be analyzed and the surface of the lower jaw bone at the corresponding position, and conduct comprehensive analysis to obtain the reference distance of the lower jaw teeth in the oral cavity to be analyzed; Combine the reference distance of the lower jaw teeth in the oral cavity to be analyzed with the distance values between each lower jaw tooth in the lower jaw of the oral cavity to be analyzed and the surface of the lower jaw bone at the corresponding position for comprehensive analysis to obtain the lower jaw tooth embedding health assessment index of the oral cavity to be analyzed; Conduct comprehensive analysis on the upper jaw tooth embedding health assessment index and the lower jaw tooth embedding health assessment index of the oral cavity to be analyzed to obtain the tooth embedding health assessment index of the oral cavity to be analyzed.

[0014] Furthermore, the specific formulas for calculating the reference distance of the upper jaw teeth, the upper jaw tooth embedding health assessment index, the reference distance of the lower jaw teeth, the lower jaw tooth embedding health assessment index, and the tooth embedding health assessment index of the oral cavity to be analyzed are as follows: ; where is the reference distance of the upper jaw teeth in the oral cavity to be analyzed, is the distance value between the th upper jaw tooth in the upper jaw of the oral cavity to be analyzed and the surface of the upper jaw bone at the corresponding position, is the upper jaw tooth embedding health assessment index of the oral cavity to be analyzed, is the reference distance of the lower jaw teeth in the oral cavity to be analyzed, is the distance value between the th lower jaw tooth in the lower jaw of the oral cavity to be analyzed and the surface of the lower jaw bone at the corresponding position, is the lower jaw tooth embedding health assessment index of the oral cavity to be analyzed, is the tooth embedding health assessment index of the oral cavity to be analyzed, is the upper jaw tooth embedding health assessment coefficient stored in the database, is the lower jaw tooth embedding health assessment coefficient stored in the database, , , is the number of upper jaw teeth in the upper jaw of the oral cavity, , It is the number of lower jaw teeth in the middle and lower part of the oral cavity.

[0015] A data processing device for an oral cavity model, comprising: a data reading and analyzing unit, an initial analysis module, a comprehensive analysis module, and a judgment analysis module; the data reading and analyzing unit is used to read the oral cavity model data to be analyzed and perform data analysis respectively to obtain a set of tooth structure health assessment indexes, a set of gum health assessment indexes, and a set of tooth embedding health assessment indexes for the oral cavity to be analyzed. The oral cavity model data includes upper jaw tooth state data in the oral cavity, the upper jaw gum thickness value in the upper jaw of the oral cavity, lower jaw tooth state data in the oral cavity, and the lower jaw gum thickness value in the lower jaw of the oral cavity; the initial analysis module is used to comprehensively analyze the set of tooth structure health assessment indexes, the set of gum health assessment indexes, and the set of tooth embedding health assessment indexes for the oral cavity to be analyzed respectively to obtain the tooth structure health assessment index, the gum health assessment index, and the tooth embedding health assessment index for the oral cavity to be analyzed; the comprehensive analysis module is used to comprehensively analyze the tooth structure health assessment index, the gum health assessment index, and the tooth embedding health assessment index for the oral cavity to be analyzed to obtain the comprehensive oral health assessment index for the oral cavity to be analyzed; the judgment analysis module is used to judge whether the comprehensive oral health assessment index of the oral cavity to be analyzed is within a preset oral health assessment interval. If the comprehensive oral health assessment index of the oral cavity to be analyzed is within the preset oral health assessment interval, the oral cavity model to be analyzed is marked as normal. If the comprehensive oral health assessment index of the oral cavity to be analyzed is outside the preset oral health assessment interval, the oral cavity model to be analyzed is marked as abnormal.

[0016] The present invention has the following beneficial effects: (1). The data processing method of the oral cavity model comprehensively evaluates the tooth structure health, gum health, and tooth embedding health conditions of the oral cavity by reading and analyzing multi-dimensional data. By calculating various health indexes of the upper jaw and the lower jaw respectively and then performing comprehensive analysis, it can effectively discover local abnormal problems and provide a scientific basis for overall evaluation. The coefficient stored in the database is introduced into the comprehensive evaluation formula to ensure that the evaluation results of different individuals are more in line with their actual situations, improving the accuracy and adaptability of the analysis results, and thus providing more reliable data support for clinical diagnosis.

[0017] (2) The data processing method for this oral cavity model separates the evaluations of the upper jaw and the lower jaw, calculates the health indices of the upper jaw and the lower jaw respectively, such as the tooth structure health assessment index, the gum health assessment index, and the tooth embedding health assessment index, and finally obtains the overall health assessment index through weighted synthesis. This hierarchical analysis method can detect abnormal conditions in local areas, such as the individual health problems of the upper jaw or the lower jaw, thus providing a more detailed basis for diagnosis. At the same time, by comprehensively analyzing the evaluation results of the upper jaw and the lower jaw, the overall health condition of the entire oral cavity can be reflected, making the evaluation results global and logical, and supporting a more accurate treatment plan.

[0018] (3) The data processing method for this oral cavity model realizes personalized evaluation of different individuals by introducing the health assessment coefficients stored in the database. Combined with the personalized adjustment of the database, it can not only adapt to individuals with different physiological characteristics, but also dynamically adjust the weights and importance of evaluation indicators, enhancing the flexibility and applicability of the results. In addition, the attenuation adjustment factor in the comprehensive evaluation formula provides a refined treatment for abnormal situations, enabling the evaluation results to better reflect the actual health status and providing reliable data support for personalized treatment and early intervention.

[0019] (4) The data processing device for this oral cavity model realizes the full-process automation of the oral health assessment process through the collaborative work of the data reading and analysis unit, the initial analysis module, the comprehensive analysis module, and the judgment analysis module. The data reading and analysis unit can quickly obtain multi-dimensional oral cavity model data, including key parameters such as tooth structure, gum thickness, and tooth embedding distance, ensuring the comprehensiveness and efficiency of data collection. The initial analysis module and the comprehensive analysis module rely on accurate calculation formulas and evaluation logics to automatically generate the comprehensive health assessment index, avoiding the possible subjective biases or low efficiency problems in the manual analysis process. The judgment analysis module automatically completes the classification and marking of the health status, greatly simplifying the evaluation decision-making process. The overall design of the device improves the efficiency and standardization of the evaluation, provides intelligent support for clinical oral diagnosis and health management, and reduces the time cost and resource consumption of manual intervention.

[0020] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a flowchart of the data processing method for an oral cavity model of the present invention.

[0022] Figure 2 It is a specific step flowchart for obtaining the tooth structure health assessment index set and the tooth structure health assessment index of the oral cavity to be analyzed in the data processing method for an oral cavity model of the present invention.

[0023] Figure 3 This is a block diagram of a data processing device for an oral cavity model of the present invention. Specific embodiments

[0024] The general idea for the problems in the embodiments of this application is as follows: Read the data of the oral cavity model to be analyzed, including upper jaw tooth state data, upper jaw gingival thickness value, lower jaw tooth state data, lower jaw gingival thickness value, etc. Divide these data into data related to the assessment of the health of the tooth structure, data related to the assessment of the health of the gingiva, and data related to the assessment of the health of tooth embedding, and analyze them separately to initially obtain the tooth structure health assessment index set, the gingiva health assessment index set, and the tooth embedding health assessment index set. Then, through hierarchical analysis of the upper jaw and the lower jaw respectively, calculate the tooth structure health assessment index, the gingiva health assessment index, and the tooth embedding health assessment index of the upper jaw and the lower jaw, and perform weighted synthesis on these indexes in combination with the assessment coefficients in the database to obtain the final tooth structure health assessment index, the gingiva health assessment index, and the tooth embedding health assessment index. Finally, according to the above three health assessment indexes, use the comprehensive assessment formula to calculate the comprehensive oral health assessment index of the oral cavity to be analyzed, and determine whether it is within the preset health assessment interval. If it is within the interval, it is marked as normal; otherwise, it is marked as abnormal.

[0025] Please refer to Figure 1, an embodiment of the present invention provides a technical solution: a method for processing oral model data, including the following steps: reading the oral model data to be analyzed, and performing data analysis respectively to obtain a set of tooth structure health assessment indexes, a set of gum health assessment indexes, and a set of tooth embedding health assessment indexes for the oral cavity to be analyzed. The oral model data includes the state data of the upper jaw teeth in the oral cavity, the thickness value of the upper jaw gum in the upper jaw of the oral cavity, the state data of the lower jaw teeth in the oral cavity, and the thickness value of the lower jaw gum in the lower jaw of the oral cavity; comprehensively analyzing the set of tooth structure health assessment indexes, the set of gum health assessment indexes, and the set of tooth embedding health assessment indexes for the oral cavity to be analyzed to obtain the tooth structure health assessment index, the gum health assessment index, and the tooth embedding health assessment index for the oral cavity to be analyzed; comprehensively analyzing the tooth structure health assessment index, the gum health assessment index, and the tooth embedding health assessment index for the oral cavity to be analyzed to obtain the comprehensive oral health assessment index for the oral cavity to be analyzed; judging whether the comprehensive oral health assessment index of the oral cavity to be analyzed is within a preset oral health assessment interval; if the comprehensive oral health assessment index of the oral cavity to be analyzed is within the preset oral health assessment interval, then mark the oral model to be analyzed as normal; if the comprehensive oral health assessment index of the oral cavity to be analyzed is outside the preset oral health assessment interval, then mark the oral model to be analyzed as abnormal and identify the abnormal index. The specific steps are as follows: respectively judge and analyze the tooth structure health assessment index, the gum health assessment index, and the tooth embedding health assessment index of the oral cavity to be analyzed with the corresponding preset health assessment intervals (that is, judge whether it is within the corresponding preset health assessment intervals), and mark the abnormal index according to the judgment and analysis.

[0026] The state data of the upper jaw teeth in the oral cavity includes the contact force value, the contact area value between each upper jaw tooth and the upper jaw gum in the upper jaw of the oral cavity, the pressure difference value between each group of adjacent upper jaw teeth, the distance value between each upper jaw tooth and the surface of the upper jaw bone at the corresponding position, and the compression deformation amount of each upper jaw tooth on the upper jaw gum. The state data of the lower jaw teeth in the oral cavity includes the contact force value, the contact area value between each lower jaw tooth and the lower jaw gum in the lower jaw of the oral cavity, the pressure difference value between each group of adjacent lower jaw teeth, the distance value between each lower jaw tooth and the surface of the lower jaw bone at the corresponding position, and the compression deformation amount of each lower jaw tooth on the lower jaw gum. The set of tooth structure health assessment indexes includes the upper jaw tooth structure health assessment index and the lower jaw tooth structure health assessment index. The set of gum health assessment indexes includes the upper jaw gum health assessment index and the lower jaw gum health assessment index. The set of tooth embedding health assessment indexes includes the upper jaw tooth embedding health assessment index and the lower jaw tooth embedding health assessment index.

[0027] Among them, the contact force values between the upper and lower jaw teeth and the upper and lower jaw gums can be measured and obtained through mechanical sensors or pressure-sensitive membranes.

[0028] The contact area value between the upper jaw teeth and the upper jaw gum can be obtained by using a three-dimensional oral scanner to collect the surface morphology of the tooth-gum contact area, and then calculating the contact area through image processing techniques (such as calculating the area of the point cloud contact area).

[0029] The pressure difference between adjacent teeth can be measured by a digital occlusion analyzer (such as T-Scan), which records the pressure distribution of adjacent teeth in real time and calculates the pressure difference between each pair of adjacent teeth.

[0030] The distance value between the upper and lower jaw teeth and the surfaces of the corresponding upper and lower jaw bones can be obtained by using CBCT (Cone Beam CT) scanning technology to acquire the three-dimensional structural data of the teeth and jaw bones, and then extracting the distance between each tooth and the surface of its corresponding jaw bone.

[0031] The compression deformation amount of the upper and lower jaw teeth on the upper and lower jaw gums can be recorded by a high-precision displacement sensor to measure the compression deformation displacement of the gums when the teeth are loaded with biting force.

[0032] Specifically, the specific formula for calculating the comprehensive oral health assessment index of the oral cavity to be analyzed is as follows: ; where is the comprehensive oral health assessment index of the oral cavity to be analyzed, is the tooth structure health assessment index of the oral cavity to be analyzed, is the tooth structure assessment coefficient stored in the database, is the gum health assessment index of the oral cavity to be analyzed, is the gum assessment coefficient stored in the database, is the tooth embedding health assessment index of the oral cavity to be analyzed, is the tooth embedding assessment coefficient stored in the database, is the attenuation adjustment factor stored in the database, , is the natural constant, which takes the value of 2.718 in this embodiment.

[0033] It should be noted that The specific value range of is as follows: when the tooth embedding health assessment index of the oral cavity to be analyzed is within the preset tooth embedding health assessment interval, a larger attenuation value is taken, for example

[0034] = 2. = 1.

[0035] When the tooth embedding health assessment index of the oral cavity to be analyzed is lower than the preset tooth embedding health assessment interval, a medium attenuation value is taken, for example = 0.5.

[0036] A specific implementation example of calculating the comprehensive oral health assessment index of the oral cavity to be analyzed is as follows. The following data is available: The preset healthy evaluation range for tooth embedding is: [0.5, 0.8].

[0037] The tooth structure health assessment index of the oral cavity to be analyzed: 0.78.

[0038] The tooth structure assessment coefficient stored in the database: 0.35.

[0039] The gum health assessment index of the oral cavity to be analyzed: 0.62.

[0040] The gum assessment coefficient stored in the database: 0.4.

[0041] The tooth embedding health assessment index of the oral cavity to be analyzed: 0.72.

[0042] The tooth embedding assessment coefficient stored in the database: 0.25.

[0043] Since the tooth embedding health assessment index of the oral cavity to be analyzed is within the preset tooth embedding health assessment range, the value of the attenuation adjustment factor stored in the database is 2.

[0044] The value of the natural constant is: 2.718.

[0045] Input the above data into the specific formula for calculating the comprehensive oral health assessment index of the oral cavity to be analyzed respectively, and we get: The comprehensive oral health assessment index of the oral cavity to be analyzed = ((0.35 * 0.78 + 0.4 * 0.62 + 0.25 * exp(-(0.72 * 2))) / (2.718 - 1)) 1 / 2 ≈ ((0.273 + 0.248 + 0.1744) / (1.718)) 1 / 2 ≈ (0.6954 / 1.718) 1 / 2 ≈ 0.6361.

[0046] In this implementation plan, by setting the dynamic range of the attenuation adjustment factor and adjusting the attenuation value according to the actual situation of the tooth embedding health assessment index: within the healthy evaluation range ( = 2): adopt a larger attenuation value to reduce the impact of the index on the comprehensive assessment result and emphasize the matching of the overall health status; below the healthy evaluation range ( = 1): adopt a medium attenuation value to moderately reflect the situation of health deviation and remind of potential risks; above the healthy evaluation range ( = 0.5): A smaller attenuation value is adopted to quickly weaken the interference of abnormal embedding health index on the evaluation result, avoiding the result being too deviated from the actual health status. This dynamic adjustment mechanism ensures the refined processing of the evaluation result and avoids the rigid evaluation that may be caused by fixed attenuation parameters. The exponential attenuation function is introduced to control the abnormal value of the tooth embedding health index within a reasonable range in the form of the power of e: when the tooth embedding health evaluation index deviates from the normal value, the influence of the abnormal value is quickly weakened by a small attenuation value to reduce the excessive interference on the comprehensive evaluation result. When the tooth embedding health evaluation index is within the healthy range, a larger attenuation value is adopted to maintain the stability of the evaluation result. This design makes the comprehensive evaluation index more robust and will not cause the overall result to be distorted due to a single abnormal value. Through the attenuation factor The dynamic setting of reflects the differential treatment under different health states and avoids the "one-size-fits-all" evaluation method. Especially the dynamic adjustment of the tooth embedding health evaluation index enhances the attention to the embedding health status and makes the evaluation result more comprehensive. The dynamically adjusted attenuation factor can provide doctors with a clear indication of the degree of health deviation, facilitating personalized diagnosis and intervention based on the comprehensive evaluation result. Different values reflect the subtle differences in health status and provide a scientific basis for formulating targeted treatment plans. The exponential attenuation function The introduction of not only maintains the mathematical simplicity of the formula but also realizes the complexity of the function. Using the dynamic adjustment mechanism instead of fixed parameters greatly improves the adaptability and generality of the evaluation method and is suitable for various scenarios.

[0047] Specifically, as Figure 2 shown, the specific steps to obtain the tooth structure health evaluation index set and the tooth structure health evaluation index of the oral cavity to be analyzed are as follows: Read the contact force value, contact area value of each upper jaw tooth and the upper jaw gingiva in the upper jaw of the oral cavity to be analyzed, and the pressure difference between each group of adjacent upper jaw teeth, and conduct comprehensive analysis to obtain the upper jaw tooth structure health evaluation index of the oral cavity to be analyzed; Read the contact force value, contact area value of each lower jaw tooth and the lower jaw gingiva in the lower jaw of the oral cavity to be analyzed, and the pressure difference between each group of adjacent lower jaw teeth, and conduct comprehensive analysis to obtain the lower jaw tooth structure health evaluation index of the oral cavity to be analyzed; Conduct comprehensive analysis on the upper jaw tooth structure health evaluation index and the lower jaw tooth structure health evaluation index of the oral cavity to be analyzed to obtain the tooth structure health evaluation index of the oral cavity to be analyzed.

[0048] The specific formulas for calculating the upper jaw tooth structure health evaluation index, the lower jaw tooth structure health evaluation index, and the tooth structure health evaluation index of the oral cavity to be analyzed are as follows: ; where is the upper jaw tooth structure health evaluation index of the oral cavity to be analyzed, is the The contact force value between an upper jaw tooth and the upper jaw gum, is the contact area value between the th upper jaw tooth and the upper jaw gum in the oral upper jaw of the oral cavity to be analyzed, is the pressure difference value between groups of adjacent upper jaw teeth stored in the database (the maximum pressure difference that can be borne), is the structural health assessment index of the lower jaw teeth in the oral cavity to be analyzed, is the contact force value between the th lower jaw tooth and the lower jaw gum in the oral lower jaw of the oral cavity to be analyzed, is the contact area value between the th lower jaw tooth and the lower jaw gum in the oral lower jaw of the oral cavity to be analyzed, is the pressure difference value between groups of adjacent lower jaw teeth stored in the database (the maximum pressure difference that can be borne), is the structural health assessment index of the teeth in the oral cavity to be analyzed, is the upper jaw tooth structure assessment coefficient stored in the database, is the lower jaw tooth structure assessment coefficient stored in the database, , , is the number of upper jaw teeth in the oral upper jaw, , is the number of groups of adjacent upper jaw teeth in the oral upper jaw, and , , is the number of lower jaw teeth in the oral lower jaw, , is the number of groups of adjacent lower jaw teeth in the oral lower jaw, and .

[0049] In this implementation scheme, by calculating the structural health assessment indexes of the upper and lower jaw teeth respectively and then comprehensively analyzing the two, the health status of different regions in the oral cavity can be evaluated more meticulously. This hierarchical calculation method avoids the evaluation deviation caused by mixing the upper and lower jaw teeth together, enhances the accuracy and reliability of the results. The independent evaluation of the upper and lower jaws not only reflects their respective health conditions but also helps to locate specific problem areas, providing a scientific basis for further treatment plans. The evaluation formula incorporates multiple key parameters such as the contact force value, contact area value between the teeth and the gums, and the pressure difference between adjacent teeth into the calculation, comprehensively reflecting the comprehensive performance of the tooth structure health. At the same time, through the normalization process using the maximum pressure difference stored in the database, the standardization of the evaluation results is ensured, which can adapt to the physiological differences of different individuals and increase the applicability of the evaluation. Using the upper jaw tooth structure evaluation coefficient stored in the database and the lower jaw tooth structure evaluation coefficient , the dynamic adjustment based on individual standards is realized, enhancing the flexibility of the evaluation. Different individuals may have different tooth structure characteristics (such as tooth arrangement, occlusion relationship, etc.). Through coefficient adjustment, it can better fit the actual situation and generate personalized evaluation results. By accurately calculating the ratio of the contact force value to the contact area value, the pressure distribution between the teeth and the gums is reflected, intuitively reflecting the stability of the teeth from a mechanical perspective, thus enabling the evaluation of the mechanical synergy between teeth and avoiding the limitations of single tooth evaluation. Finally, the structural health assessment indexes of the upper and lower jaws are synthesized into an overall tooth structure health assessment index through the weighting coefficients and to provide a clear result for quickly judging the tooth structure health status of the entire oral cavity. This design can not only assist doctors in quickly identifying problem areas but also provides a scientific basis for further diagnosis and treatment.

[0050] Specifically, the specific steps to obtain the gum health assessment index set and the gum health assessment index of the oral cavity to be analyzed are as follows: Read the upper jaw gum thickness value in the upper jaw of the oral cavity to be analyzed and the compression deformation amount of each upper jaw tooth on the upper jaw gum, and conduct comprehensive analysis to obtain the upper jaw gum health assessment index of the oral cavity to be analyzed; Read the lower jaw gum thickness value in the lower jaw of the oral cavity to be analyzed and the compression deformation amount of each lower jaw tooth on the lower jaw gum, and conduct comprehensive analysis to obtain the lower jaw gum health assessment index of the oral cavity to be analyzed; Conduct comprehensive analysis on the upper jaw gum health assessment index and the lower jaw gum health assessment index of the oral cavity to be analyzed to obtain the gum health assessment index of the oral cavity to be analyzed.

[0051] The specific formulas for calculating the upper jaw gum health assessment index, the lower jaw gum health assessment index, and the gum health assessment index of the oral cavity to be analyzed are as follows: ; where is the upper jaw gum health assessment index of the oral cavity to be analyzed, is the compression deformation amount of the th upper jaw tooth in the upper jaw of the oral cavity to be analyzed on the upper jaw gum, is the upper jaw gum thickness value in the upper jaw of the oral cavity to be analyzed, is the lower jaw gum health assessment index of the oral cavity to be analyzed, is the compression deformation amount of the th lower jaw tooth in the lower jaw of the oral cavity to be analyzed on the lower jaw gum, is the lower jaw gum thickness value in the lower jaw of the oral cavity to be analyzed, is the gum health assessment index of the oral cavity to be analyzed, is the upper jaw gum health assessment coefficient stored in the database, is the lower jaw gum health assessment coefficient stored in the database, , , is the number of upper jaw teeth in the upper jaw of the oral cavity, , is the number of lower jaw teeth in the lower jaw of the oral cavity.

[0052] In this implementation scheme, by calculating the upper jaw gum health assessment index and the lower jaw gum health assessment index respectively and then conducting comprehensive analysis, the health status of gums in different regions of the oral cavity can be evaluated more precisely. This hierarchical calculation method refines the evaluation dimension, which can not only reflect the specific health problems of the upper jaw and lower jaw gums respectively, but also provide more accurate positioning for local health abnormalities. Incorporating the gum thickness value and the compression deformation amount into the evaluation can comprehensively reflect the health status of the gums: the gum thickness value reflects the physiological structure status of the gums, the greater the thickness, the stronger the supportability, and the compression deformation amount reflects the elastic response ability of the gums. Excessive deformation may indicate that the gums are too soft or there are lesions, and too small deformation may indicate problems such as fibrosis. This method combining multiple parameters can more objectively evaluate the physiological and mechanical properties of the gums. By introducing the upper jaw gum health assessment coefficient stored in the database and the lower jaw gum health assessment coefficient , it realizes the adaptation of the evaluation formula to the physiological differences of different individuals, can generate personalized evaluation results, and the introduction of coefficients can be adjusted according to the physiological characteristics of different groups (such as children, adults, the elderly), improving the scientificity and practicability of the evaluation. By comprehensively considering the ratio of the compression deformation amount to the gingival thickness, the formula intuitively reflects the health performance of the gingiva under different occlusal states: a smaller ratio indicates that the gingiva is thicker and has good elasticity, and the health state is good; a larger ratio indicates that the gingiva may be too thin or have poor elasticity, suggesting potential health problems. This method is not only scientific but also simple and easy to implement. Finally, the upper jaw gingival health evaluation index and the lower jaw gingival health evaluation index are weighted and integrated into the overall gingival health evaluation index, providing a clear and comprehensive result, which is convenient for doctors to quickly judge the gingival health status of the entire oral cavity. The comprehensive analysis method can not only highlight the health status of each region but also reflect the coordination and unity of the gingiva as a whole.

[0053] Specifically, the specific steps to obtain the tooth embedding health evaluation index set and the tooth embedding health evaluation index of the oral cavity to be analyzed are as follows: Read the distance values between each upper jaw tooth in the upper jaw of the oral cavity to be analyzed and the surface of the upper jaw bone at the corresponding position, and conduct comprehensive analysis to obtain the reference distance of the upper jaw teeth in the oral cavity to be analyzed; Combine the reference distance of the upper jaw teeth in the oral cavity to be analyzed with the distance values between each upper jaw tooth in the upper jaw of the oral cavity to be analyzed and the surface of the upper jaw bone at the corresponding position respectively, and conduct comprehensive analysis to obtain the upper jaw tooth embedding health evaluation index of the oral cavity to be analyzed; Read the distance values between each lower jaw tooth in the lower jaw of the oral cavity to be analyzed and the surface of the lower jaw bone at the corresponding position, and conduct comprehensive analysis to obtain the reference distance of the lower jaw teeth in the oral cavity to be analyzed; Combine the reference distance of the lower jaw teeth in the oral cavity to be analyzed with the distance values between each lower jaw tooth in the lower jaw of the oral cavity to be analyzed and the surface of the lower jaw bone at the corresponding position respectively, and conduct comprehensive analysis to obtain the lower jaw tooth embedding health evaluation index of the oral cavity to be analyzed; Conduct comprehensive analysis on the upper jaw tooth embedding health evaluation index and the lower jaw tooth embedding health evaluation index of the oral cavity to be analyzed to obtain the tooth embedding health evaluation index of the oral cavity to be analyzed.

[0054] The specific formulas for calculating the reference distance of the upper jaw teeth in the oral cavity to be analyzed, the upper jaw tooth embedding health evaluation index, the reference distance of the lower jaw teeth in the oral cavity to be analyzed, the lower jaw tooth embedding health evaluation index, and the tooth embedding health evaluation index are as follows: ; where is the reference distance of the upper jaw teeth in the oral cavity to be analyzed, is the distance value between the th upper jaw tooth in the upper jaw of the oral cavity to be analyzed and the surface of the upper jaw bone at the corresponding position, is the upper jaw tooth embedding health evaluation index of the oral cavity to be analyzed, is the reference distance of the mandibular teeth in the oral cavity to be analyzed, is the distance value between the th mandibular tooth in the oral cavity mandible to be analyzed and the surface of the mandible at the corresponding position, is the mandibular tooth embedding health assessment index of the oral cavity to be analyzed, is the tooth embedding health assessment index of the oral cavity to be analyzed, is the maxillary tooth embedding health assessment coefficient stored in the database, is the mandibular tooth embedding health assessment coefficient stored in the database, , , is the number of maxillary teeth in the oral cavity maxilla, , is the number of mandibular teeth in the oral cavity mandible.

[0055] In this implementation, by calculating the reference distance values of the maxillary and mandibular teeth, an objective comparison benchmark is established. The reference distance is an overall statistic of all tooth embedding situations, which can reflect the average level of the normal embedding state. Compared with directly evaluating the embedding state of a single tooth, the introduction of the reference distance avoids the influence of abnormal values of individual teeth on the overall evaluation result, enhances the scientificity and objectivity of the analysis. Calculate the embedding health assessment indices of the maxillary and mandibular teeth respectively, which helps to independently identify the embedding health problems of the maxilla or mandible. This sub-region analysis method can discover local problems and avoid the detailed problems that may be masked by a single overall evaluation, providing more accurate data support for diagnosis. The evaluation process considers the distance between each tooth and the surface of the jawbone, and combines the reference distance for comprehensive analysis: the distance value reflects the embedding depth of a single tooth, which is directly related to the health state, and the reference distance is used to measure whether the tooth embedding is reasonable, which is consistent with the overall health state. The combination of these multi-parameters can not only quantify the health status of a single tooth, but also reflect its matching with the overall oral health state. By introducing the maxillary and mandibular tooth embedding health assessment coefficients stored in the database and , the personalized adaptation of the embedding characteristics of different individuals is realized. Different individuals may have different jawbone structures and tooth arrangement characteristics. By adjusting the weight coefficients and , it can generate more personalized health assessment results. By comparing the distance value of each tooth with the reference distance, an embedded health assessment index for a single tooth is generated. Then, the health indices of the upper and lower jaw teeth are comprehensively calculated, and finally, an overall tooth embedding health assessment index is generated. This design of hierarchical calculation and comprehensive analysis ensures the scientificity and logic of the results. It can not only deeply analyze the health status of a single area but also quickly generate an overall assessment result. Comprehensively analyzing the embedding health status of the upper and lower jaws helps to discover potential jaw bone and tooth embedding problems. For example, a too small distance may indicate that the tooth is overly embedded in the jaw bone, resulting in excessive pressure between the tooth and the jaw bone; a too large distance may indicate insufficient tooth embedding, leading to insufficient tooth stability or a potential risk of dislocation. This multi-level assessment provides doctors with a more comprehensive basis for judging the health status and can support more accurate diagnosis and early intervention.

[0056] Please refer to Figure 3 , an embodiment of the present invention provides a technical solution: a data processing device for an oral cavity model, including: a data reading and analyzing unit, an initial analysis module, a comprehensive analysis module, and a judgment analysis module; the data reading and analyzing unit is used to read the oral cavity model data to be analyzed and perform data analysis respectively to obtain a set of tooth structure health assessment indices, a set of gum health assessment indices, and a set of tooth embedding health assessment indices for the oral cavity to be analyzed. The oral cavity model data includes the data of the upper jaw teeth state in the oral cavity, the upper jaw gum thickness value in the upper jaw of the oral cavity, the data of the lower jaw teeth state in the oral cavity, and the lower jaw gum thickness value in the lower jaw of the oral cavity; the initial analysis module is used to comprehensively analyze the set of tooth structure health assessment indices, the set of gum health assessment indices, and the set of tooth embedding health assessment indices for the oral cavity to be analyzed respectively to obtain the tooth structure health assessment index, the gum health assessment index, and the tooth embedding health assessment index for the oral cavity to be analyzed; the comprehensive analysis module is used to comprehensively analyze the tooth structure health assessment index, the gum health assessment index, and the tooth embedding health assessment index for the oral cavity to be analyzed to obtain the comprehensive oral health assessment index for the oral cavity to be analyzed; the judgment analysis module is used to judge whether the comprehensive oral health assessment index of the oral cavity to be analyzed is within the preset oral health assessment interval. If the comprehensive oral health assessment index of the oral cavity to be analyzed is within the preset oral health assessment interval, the oral cavity model to be analyzed is marked as normal; if the comprehensive oral health assessment index of the oral cavity to be analyzed is outside the preset oral health assessment interval, the oral cavity model to be analyzed is marked as abnormal.

[0057] In summary, the present application has at least the following effects: By reading and analyzing multi-dimensional data, the dental structure health, gum health, and tooth embedding health conditions of the oral cavity are comprehensively evaluated. By calculating various health indices for the upper and lower jaws separately and then conducting a comprehensive analysis, local abnormal problems can be effectively detected, providing a scientific basis for the overall assessment. The coefficients stored in the database are introduced into the comprehensive assessment formula, ensuring that the assessment results of different individuals are more in line with their actual situations, improving the accuracy and adaptability of the analysis results, and thus providing more reliable data support for clinical diagnosis.

[0058] By separating the assessments of the upper and lower jaws and calculating the health indices of the upper and lower jaws respectively, such as the dental structure health assessment index, gum health assessment index, and tooth embedding health assessment index, and finally obtaining the overall health assessment index through weighted synthesis, this hierarchical analysis method can detect abnormal conditions in local areas, such as individual health problems in the upper or lower jaws, thus providing a more detailed diagnostic basis. At the same time, by comprehensively analyzing the assessment results of the upper and lower jaws, the overall health condition of the entire oral cavity can be reflected, making the assessment results global and logical, and supporting a more accurate treatment plan.

[0059] By introducing the health assessment coefficients stored in the database, personalized assessment of different individuals is achieved. Combining the personalized adjustment of the database can not only adapt to individuals with different physiological characteristics but also dynamically adjust the weights and importance of assessment indicators, enhancing the flexibility and applicability of the results. In addition, the attenuation adjustment factor in the comprehensive assessment formula provides a refined treatment of abnormal situations, enabling the assessment results to better reflect the actual health status and providing reliable data support for personalized treatment and early intervention.

[0060] Through the collaborative work of the data reading and analysis unit, initial analysis module, comprehensive analysis module, and judgment analysis module, the entire process of oral health assessment is automated. The data reading and analysis unit can quickly obtain multi-dimensional oral model data, including key parameters such as dental structure, gum thickness, and tooth embedding distance, ensuring the comprehensiveness and efficiency of data collection. The initial analysis module and comprehensive analysis module rely on accurate calculation formulas and assessment logics to automatically generate the comprehensive health assessment index, avoiding potential subjective biases or inefficiencies in the manual analysis process. The judgment analysis module automatically completes the classification and marking of the health status, greatly simplifying the assessment decision-making process. The design of the overall device improves the efficiency and standardization of the assessment, provides intelligent support for clinical oral diagnosis and health management, and reduces the time cost and resource consumption of manual intervention.

[0061] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made to these embodiments by those skilled in the art once they learn the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0062] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A data processing method for an oral model, characterized in that: The following steps are involved: Reading the oral model data to be analyzed, and performing data analysis respectively, to obtain a tooth structure health assessment index set, a gum health assessment index set, and a tooth embedding health assessment index set of the oral cavity to be analyzed, wherein the oral model data includes the upper jaw tooth state data, the upper jaw gum thickness value in the upper jaw, the lower jaw tooth state data, and the lower jaw gum thickness value in the lower jaw; Comprehensively analyzing the tooth structure health assessment index set, gum health assessment index set, and tooth embedding health assessment index set of the oral cavity to be analyzed, respectively, to obtain the tooth structure health assessment index, gum health assessment index, and tooth embedding health assessment index of the oral cavity to be analyzed; Comprehensively analyze the tooth structure health assessment index, gum health assessment index, and tooth embedding health assessment index of the oral cavity to be analyzed to obtain a comprehensive oral health assessment index of the oral cavity to be analyzed; Determine whether the comprehensive oral health assessment index of the oral cavity to be analyzed is within a preset oral health assessment range; If the oral health comprehensive evaluation index of the oral cavity to be analyzed is within the preset oral health evaluation range, the oral cavity model to be analyzed is marked as normal; If the comprehensive oral health evaluation index of the oral cavity to be analyzed is outside the preset oral health evaluation range, the oral cavity model to be analyzed is marked as abnormal.

2. The oral model data processing method according to claim 1, characterized in that: The oral maxillary tooth status data includes the contact force value, contact area value, pressure difference value of each group of adjacent maxillary teeth, distance value between each maxillary tooth and the maxillary bone surface at the corresponding position, and compression deformation amount of each maxillary tooth on the maxillary gum; the oral mandibular tooth status data includes the contact force value, contact area value, pressure difference value of each group of adjacent mandibular teeth, distance value between each mandibular tooth and the mandibular gum at the corresponding position, and compression deformation amount of each mandibular tooth on the mandibular gum; the tooth structure health assessment index set includes the maxillary tooth structure health assessment index and the mandibular tooth structure health assessment index; the gum health assessment index set includes the maxillary gum health assessment index and the mandibular gum health assessment index; the tooth embedding health assessment index set includes the maxillary tooth embedding health assessment index and the mandibular tooth embedding health assessment index.

3. The oral model data processing method according to claim 1, characterized in that: The specific formula for calculating the comprehensive evaluation index of oral health of the oral cavity to be analyzed is as follows: ； in, is the comprehensive evaluation index of oral health of the oral cavity to be analyzed, is the dental structure health assessment index of the oral cavity to be analyzed, is the tooth structure evaluation coefficient stored in the database, is the gum health assessment index of the oral cavity to be analyzed, is the gingival assessment coefficient stored in the database, is the tooth embedding health assessment index of the oral cavity to be analyzed, is the tooth embedding evaluation coefficient stored in the database, is the attenuation adjustment factor stored in the database, , is a natural constant.

4. The oral model data processing method according to claim 2, characterized in that: The specific steps of obtaining the tooth structure health assessment index set and the tooth structure health assessment index of the oral cavity to be analyzed are as follows: Read the contact force value and contact area value between each maxillary tooth and the maxillary gum in the upper palate of the oral cavity to be analyzed, as well as the pressure difference value of each group of adjacent maxillary teeth, and perform a comprehensive analysis to obtain the maxillary tooth structure health assessment index of the oral cavity to be analyzed; Read the contact force value and contact area value between each mandibular tooth and the mandibular gum in the mandibular oral cavity to be analyzed, as well as the pressure difference value of each group of adjacent mandibular teeth, and perform a comprehensive analysis to obtain the mandibular tooth structure health assessment index of the mandibular oral cavity to be analyzed; A comprehensive analysis is performed on the upper jaw tooth structure health assessment index and the lower jaw tooth structure health assessment index of the oral cavity to be analyzed to obtain the tooth structure health assessment index of the oral cavity to be analyzed.

5. The oral cavity model data processing method according to claim 4, characterized in that: The specific formulas for calculating the upper jaw tooth structure health assessment index, the lower jaw tooth structure health assessment index, and the tooth structure health assessment index of the oral cavity to be analyzed are as follows: ； in, is the health assessment index of the upper jaw tooth structure of the oral cavity to be analyzed, The first The contact force between the maxillary teeth and the maxillary gums, The first The contact area between the maxillary teeth and the maxillary gums, The first The pressure difference between adjacent maxillary teeth in a group, is the maximum pressure difference between adjacent maxillary teeth stored in the database, is the health assessment index of the mandibular tooth structure of the oral cavity to be analyzed, The first The contact force between the mandibular teeth and the mandibular gums, The first The contact area between the mandibular teeth and the mandibular gums, The first The pressure difference between adjacent mandibular teeth in a group, is the maximum pressure difference between adjacent mandibular teeth stored in the database, is the dental structure health assessment index of the oral cavity to be analyzed, is the maxillary tooth structure evaluation coefficient stored in the database, is the mandibular tooth structure evaluation coefficient stored in the database, , , is the number of maxillary teeth in the upper jaw of the oral cavity, , is the number of adjacent maxillary tooth groups in the upper jaw of the oral cavity, , is the number of teeth in the lower jaw of the oral cavity, , It is the number of adjacent mandibular tooth groups in the oral cavity.

6. The oral model data processing method according to claim 2, characterized in that: The specific steps of obtaining the gum health assessment index set and the gum health assessment index of the oral cavity to be analyzed are as follows: Read the palatal gum thickness value in the upper palate of the oral cavity to be analyzed, the compression deformation of each upper palate tooth on the palatal gum, and perform a comprehensive analysis to obtain the palatal gum health assessment index of the oral cavity to be analyzed; Read the mandibular gum thickness value in the mandible of the oral cavity to be analyzed, the compression deformation of each mandibular tooth on the mandibular gum, and perform comprehensive analysis to obtain the mandibular gum health assessment index of the oral cavity to be analyzed; The upper jaw gum health assessment index and the lower jaw gum health assessment index of the oral cavity to be analyzed are comprehensively analyzed to obtain the gum health assessment index of the oral cavity to be analyzed.

7. The oral cavity model data processing method according to claim 6, characterized in that: The specific formulas for calculating the upper jaw gum health assessment index, the lower jaw gum health assessment index, and the gum health assessment index of the oral cavity to be analyzed are as follows: ； in, is the maxillary gum health assessment index of the oral cavity to be analyzed, The first The compression deformation of the maxillary teeth on the maxillary gums, is the value of the palatal gingival thickness in the upper palate of the oral cavity to be analyzed, is the mandibular gum health assessment index of the oral cavity to be analyzed, The first The compression deformation of the mandibular teeth on the mandibular gums, is the mandibular gingival thickness value in the lower jaw of the oral cavity to be analyzed, is the gum health assessment index of the oral cavity to be analyzed, is the maxillary gum health assessment coefficient stored in the database, is the mandibular gum health assessment coefficient stored in the database, , , is the number of maxillary teeth in the upper jaw of the oral cavity, , It is the number of teeth in the lower jaw of the oral cavity.

8. The oral model data processing method according to claim 2, characterized in that: The specific steps of obtaining the tooth embedding health assessment index set and the tooth embedding health assessment index of the oral cavity to be analyzed are as follows: Read the distance value between each maxillary tooth in the upper palate of the oral cavity to be analyzed and the upper palate bone surface at the corresponding position, and perform comprehensive analysis to obtain the reference distance of the maxillary teeth of the oral cavity to be analyzed; Comprehensively analyze the reference distance of the maxillary teeth of the oral cavity to be analyzed and the distance value between each maxillary tooth in the oral cavity to be analyzed and the maxillary bone surface at the corresponding position to obtain the maxillary teeth embedding health assessment index of the oral cavity to be analyzed; Read the distance value between each mandibular tooth in the oral cavity to be analyzed and the mandibular bone surface at the corresponding position, and perform comprehensive analysis to obtain the mandibular tooth distance reference distance of the oral cavity to be analyzed; The reference distance of the mandibular teeth of the oral cavity to be analyzed is combined with the distance value between each mandibular tooth in the oral cavity to be analyzed and the mandibular bone surface at the corresponding position to perform a comprehensive analysis to obtain the mandibular tooth embedding health assessment index of the oral cavity to be analyzed; The maxillary teeth embedding health assessment index and the mandibular teeth embedding health assessment index of the oral cavity to be analyzed are comprehensively analyzed to obtain the teeth embedding health assessment index of the oral cavity to be analyzed.

9. The oral cavity model data processing method according to claim 8, characterized in that: The specific formulas for calculating the maxillary tooth distance reference distance, maxillary tooth embedding health assessment index, mandibular tooth distance reference distance, mandibular tooth embedding health assessment index, and tooth embedding health assessment index of the oral cavity to be analyzed are as follows: ； in, is the reference distance of the maxillary teeth of the oral cavity to be analyzed, The first The distance between the maxillary tooth and the maxillary bone surface at the corresponding position, is the maxillary tooth embedding health assessment index of the oral cavity to be analyzed, is the reference distance of the mandibular teeth of the oral cavity to be analyzed, The first The distance between the mandibular tooth and the mandibular bone surface at the corresponding position, is the mandibular tooth embedding health assessment index of the oral cavity to be analyzed, is the tooth embedding health assessment index of the oral cavity to be analyzed, The health assessment coefficients of maxillary teeth stored in the database are embedded. is the mandibular tooth embedding health assessment coefficient stored in the database, , , is the number of maxillary teeth in the upper jaw of the oral cavity, , It is the number of teeth in the lower jaw of the oral cavity.

10. A data processing device for an oral cavity model, using the data processing method for an oral cavity model according to any one of claims 1 to 9, characterized in that: include: Data reading and analysis unit, initial analysis module, comprehensive analysis module, judgment analysis module; The data reading and analysis unit is used to read the oral model data to be analyzed, and perform data analysis respectively to obtain a tooth structure health assessment index set, a gum health assessment index set, and a tooth embedding health assessment index set of the oral cavity to be analyzed, wherein the oral model data includes the upper jaw tooth state data, the upper jaw gum thickness value in the upper jaw, the lower jaw tooth state data, and the lower jaw gum thickness value in the lower jaw; The initial analysis module is used to perform comprehensive analysis on the tooth structure health assessment index set, gum health assessment index set, and tooth embedding health assessment index set of the oral cavity to be analyzed, respectively, to obtain the tooth structure health assessment index, gum health assessment index, and tooth embedding health assessment index of the oral cavity to be analyzed; The comprehensive analysis module is used to comprehensively analyze the tooth structure health assessment index, gum health assessment index, and tooth embedding health assessment index of the oral cavity to be analyzed, so as to obtain the oral health comprehensive assessment index of the oral cavity to be analyzed; The judgment and analysis module is used to judge whether the comprehensive oral health evaluation index of the oral cavity to be analyzed is within a preset oral health evaluation range. If the comprehensive oral health evaluation index of the oral cavity to be analyzed is within the preset oral health evaluation range, the oral model to be analyzed is marked as normal; if the comprehensive oral health evaluation index of the oral cavity to be analyzed is outside the preset oral health evaluation range, the oral model to be analyzed is marked as abnormal.

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