False tooth designer skill review method and system based on comprehensive evaluation

Abstract

The invention discloses a false tooth designer skill review method and system based on comprehensive evaluation, and the method comprises the steps: collecting related data through a high-precision sensor and wearable equipment, and carrying out the analysis and processing of the collected data; utilizing the processed data and combining the weight of each dimension to construct a comprehensive evaluation model; establishing a multi-region deployment cloud collaboration review platform, and constructing a review report analysis model; and based on the evaluation data of the false tooth designer after comprehensive evaluation and review analysis, constructing a personalized evaluation model of the false tooth designer. The scientificity, objectivity and comprehensiveness of skill review of a denture designer are remarkably improved, the problems that in the prior art, data processing is complex, review results are high in subjectivity, and personalized improvement suggestions are lacked are solved, and the method has important practical application value.

Description

Technical Field

[0001] The present invention relates to the field of personalized evaluation technology of big data analysis and cloud computing technology, and specifically to a denture designer skill review method and system based on comprehensive evaluation. Background Art

[0002] With the rapid development of digital and intelligent technology, the field of denture designer skill evaluation is also making continuous progress. Traditional evaluation methods mainly rely on manual observation and subjective evaluation. The evaluation results are easily affected by human factors and have large subjective biases and uncertainties. In recent years, with the popularization of sensor technology, data analysis technology and cloud computing technology, data-driven evaluation methods have gradually become a research hotspot. The application of high-precision sensors and wearable devices makes it possible to collect and record various data of designers during their work in real time. These data include physical quantities such as force, position, touch, etc. during the operation, as well as the designer's physiological indicators, such as heart rate, electromyography, etc. These data provide a rich information basis for subsequent analysis and evaluation.

[0003] However, the existing technology still has many shortcomings in the comprehensive processing of data and the construction of review models. First, although there has been some progress in data acquisition and processing technology, there are still challenges in the integration and comprehensive analysis of multi-dimensional data. The heterogeneity and high dimensionality of multi-source data make the effective integration and efficient processing of data complicated, and it is difficult to obtain ideal evaluation results in practical applications. Secondly, the traditional review method lacks systematicity and scientificity, and it is difficult to make full use of the collected multi-dimensional data for comprehensive and objective evaluation. In addition, most of the existing review systems lack dynamic adjustment and personalized evaluation functions, and cannot provide targeted improvement suggestions and training programs based on the actual performance and progress of designers. In summary, the existing technology has obvious limitations in data processing, review model construction and personalized evaluation, and a more scientific and comprehensive review method is urgently needed to solve these problems.

[0004] There are many problems in the prior art in the comprehensive evaluation of the skills of denture designers, mainly including the complexity of data processing, the subjectivity of review results, and the lack of personalized improvement suggestions. In response to these problems, we have invented a denture designer skill review method based on comprehensive evaluation, which collects relevant data through high-precision sensors and wearable devices, analyzes and processes the collected data, builds a comprehensive evaluation model based on the weights of each dimension, and establishes a multi-regional cloud collaborative review platform to build a review report analysis model, and finally builds a personalized evaluation model based on the comprehensive evaluation and review analysis data. The content of the present invention solves the problems of complex data processing, strong subjectivity of review results, lack of personalized improvement suggestions, etc. in the prior art, and belongs to the field of personalized evaluation systems based on big data analysis and cloud computing technology. Summary of the invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is that the prior art has significant limitations in data acquisition and processing, and the prior art has problems such as complex data processing, strong subjectivity of review results, and lack of personalized improvement suggestions.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a denture designer skill review method based on comprehensive evaluation, comprising:

[0008] Collect relevant data through high-precision sensors and wearable devices, and analyze and process the collected data;

[0009] Utilize the processed data and combine the weights of each dimension to build a comprehensive evaluation model;

[0010] Establish a multi-regional cloud collaborative review platform and build a review report analysis model;

[0011] Based on the evaluation data of denture designers after comprehensive assessment and review analysis, a personalized evaluation model for denture designers is constructed.

[0012] As a preferred solution of the denture designer skill review method based on comprehensive evaluation described in the present invention, the relevant data includes the denture designer's operation skill data, design innovation diagram data, customer satisfaction data, technical level data, and the denture designer's heart rate, electromyography monitoring data, eye tracking data, and respiratory monitoring data during operation;

[0013] High-precision sensors include force sensors, position sensors, tactile sensors, optical sensors, and temperature sensors;

[0014] Wearable devices include heart rate monitoring devices, electromyography devices, eye trackers, respiratory monitoring devices, smart gloves, smart bracelets, smart glasses, smart helmets and smart insoles.

[0015] As a preferred solution of the denture designer skill review method based on comprehensive evaluation described in the present invention, wherein: analyzing and processing the collected data includes designing the collected relevant data from multiple dimensions and multiple sources, and fusing the relevant data from multiple dimensions and multiple sources through adaptive data cleaning and multi-source data alignment technology;

[0016] Suppose there are n data sources, and the original data of each data source is X i (where i = 1, 2, ..., n), the cleaned data is The fused data is expressed as the F formula:

[0017]

[0018] A comprehensive evaluation is performed based on the statistical characteristics of the fused data and the differences in the original data to assess whether the fused data is reliable. The formula is:

[0019]

[0020] Among them, F represents the fused data, X i represents the original data of the i-th data source, represents the data of the i-th data source after adaptive cleaning, Z represents the normalization constant, t represents time, τ represents the time integral variable, and a i and b i They represent the lower and upper limits of the time interval of the i-th data source, respectively, and c i and d i They represent the lower and upper limits of the integration in the time interval of the i-th data source, respectively. R represents the index for evaluating the reliability of fused data. a and b represent the lower and upper limits of the time interval. c and d represent the lower and upper limits of the time integral variable. exp represents the exponential function.

[0021] The value threshold of R is a positive real number. The closer the value of R is to 1, the more reliable the fused data is.

[0022] As a preferred solution of the denture designer skill review method based on comprehensive evaluation described in the present invention, wherein: using the processed data and combining the weights of each dimension to construct a comprehensive evaluation model includes: based on the evaluation of the denture designer's skills including operation skills, design innovation, customer satisfaction and physiological and psychological state, combining the hierarchical analysis method to determine the weight of each evaluation dimension, and combining the multi-objective optimization technology to construct a comprehensive evaluation model, the formula is expressed as:

[0023]

[0024] Among them, E represents the comprehensive evaluation result, F j represents the data fusion result of the jth dimension, w j represents the weight of the jth dimension, t represents time, τ represents the time integral variable, and a j and b j They represent the lower and upper limits of the time interval of the j-th dimension data, respectively, and c j and d j are the lower and upper limits of the integral in the time interval of the j-th dimension data, e j and f j represents another integral lower limit and upper limit in the time interval of the j-th dimension data, and exp represents an exponential function;

[0025] The value threshold of E is a positive real number. The larger the value of E is, the better the comprehensive evaluation result of the denture designer is.

[0026] As a preferred solution of the denture designer skill review method based on comprehensive evaluation described in the present invention, wherein: establishing a multi-regional deployment cloud collaborative review platform, constructing a review report analysis model includes constructing a cloud computing-based writing review platform, uploading the denture designer's operation data and the denture designer's design works to the platform, and allowing multiple experts to comprehensively score the denture designer's works and operation data;

[0027] Collect all the expert review data and use big data analysis technology to build a scoring model. The formula is:

[0028]

[0029] Among them, Z i represents the comprehensive score of the experts on the denture designer i, K represents the number of experts involved in the review, S ik represents the expert k's rating of the denture designer i, D i (t) represents the operation data of designer i at time t, α and β represent weight coefficients, a i and b i They represent the lower and upper limits of the time interval of the operation data of the denture designer i, c i and d i Indicates the lower and upper limits of the integral;

[0030] Z i The value range of is between 0 and 10;

[0031] When 0≤Z≤3, the overall performance of the designer is poor and needs further improvement;

[0032] When 4≤Z≤7, the designer’s performance is moderate and there is some room for improvement;

[0033] When 8≤Z≤10, the designer’s overall performance is excellent.

[0034] As a preferred solution of the denture designer skill review method based on comprehensive evaluation described in the present invention, wherein: a multi-regional deployment cloud collaborative review platform is established, and the review report analysis model is constructed, and further includes generating a review report based on the comprehensive scores of the denture designer by the experts, and the comprehensive scores and expert opinions of each dimension are listed in detail in the report;

[0035] By collecting all the data of each denture designer to generate long-term data analysis, the platform can provide the designer's progress trend, help designers understand their own growth trajectory, and formulate long-term development plans.

[0036] As a preferred solution of the denture designer skill evaluation method based on comprehensive evaluation described in the present invention, the formula of the denture designer personalized evaluation model is expressed as:

[0037]

[0038] Among them, P i represents the personalized evaluation score of designer i, α represents the weight of the comprehensive evaluation score, E i represents the comprehensive evaluation score of designer i, β represents the weight of the operation data, D i (t) represents the operation data of designer i at time t, T represents the time interval length of the operation data, γ represents the weight of the expert score, Z ik represents the score of expert k on designer i, K represents the number of experts participating in the evaluation, δ represents the weight of the personal background data, B i represents the personal background data of designer i;

[0039] P i has a value threshold of 0 to 7.5;

[0040] When 0 ≤ P ≤ 2.5, the comprehensive performance of the denture designer is poor. Conduct a detailed skill and operation analysis, use high-precision sensors to record operation data, identify the main problems, and formulate a personalized training plan for the discovered problems. Regularly conduct evaluations and feedback, monitor the progress of the denture designer, and dynamically adjust the improvement strategy through big data analysis technology to ensure that the goals of each stage are clear, quantifiable, and achievable;

[0041] When 2.5 < P ≤ 5, the performance of the denture designer is medium. Introduce new materials and new processes, provide corresponding training and practice opportunities, enable the denture designer to master the latest technologies and methods, and provide detailed improvement suggestions and guidance through a regular review and feedback mechanism to help the designer identify their own strengths and weaknesses, formulate a practical improvement plan, and gradually improve the comprehensive score;

[0042] When 5 < P ≤ 7.5, the comprehensive performance of the denture designer is excellent. Encourage participation in high-difficulty and innovative projects, provide more independent design and experimental opportunities, and stimulate the creativity and potential of the denture designer. In terms of materials and processes, explore and apply the most cutting-edge technologies and materials to enhance the innovation and practicality of the works. Through regular high-level reviews and exchanges, promote the sharing of experience and knowledge, and encourage the designer to continuously break through themselves and reach a higher professional level.

[0043] A denture designer skill evaluation system based on comprehensive evaluation, where:

[0044] The data layer collects relevant data through high-precision sensors and wearable devices, and analyzes and processes the collected data;

[0045] The analysis and evaluation layer uses the processed data and combines the weights of each dimension to build a comprehensive evaluation model;

[0046] Review layer: Establish a multi-regional cloud collaborative review platform and build a review report analysis model;

[0047] The individual assessment layer builds a personalized assessment model for denture designers based on the evaluation data of denture designers after comprehensive evaluation and review analysis.

[0048] A computer device comprises: a memory and a processor; the memory stores a computer program, wherein the processor implements the steps of any one of the methods of the present invention when executing the computer program.

[0049] A computer-readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the steps of any one of the methods of the present invention.

[0050] Beneficial effects of the invention: The method for evaluating the skills of denture designers based on comprehensive evaluation provided by the invention significantly improves the scientificity, objectivity and comprehensiveness of the evaluation of the skills of denture designers through the application of high-precision sensors and wearable devices, the construction of a scientific comprehensive evaluation model, an efficient cloud collaborative evaluation platform and personalized evaluation and improvement suggestions. It solves the problems of complex data processing, strong subjectivity of evaluation results, lack of personalized improvement suggestions in the prior art, and has important practical application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0052] Figure 1 An overall flow chart of a denture designer skill review method based on comprehensive evaluation provided in the first embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0054] Example 1

[0055] Reference Figure 1 , which is an embodiment of the present invention, provides a denture designer skill review method based on comprehensive evaluation, comprising:

[0056] S1: Collect relevant data through high-precision sensors and wearable devices, and analyze and process the collected data.

[0057] Relevant data include the denture designer's operational skill data, design innovation diagram data, customer satisfaction data, technical level data, and the denture designer's heart rate, electromyography monitoring data, eye tracking data, and respiratory monitoring data during operation.

[0058] High-precision sensors include force sensors, position sensors, tactile sensors, optical sensors and temperature sensors.

[0059] Wearable devices include heart rate monitoring devices, electromyography devices, eye trackers, respiratory monitoring devices, smart gloves, smart bracelets, smart glasses, smart helmets and smart insoles.

[0060] The collected relevant data are designed to have multiple dimensions and multiple sources, and the relevant data from multiple dimensions and multiple sources are integrated through adaptive data cleaning and multi-source data alignment technology.

[0061] Suppose there are n data sources, and the original data of each data source is X i (where i = 1, 2, ..., n), the cleaned data is The fused data is expressed as the F formula:

[0062]

[0063] A comprehensive evaluation is performed based on the statistical characteristics of the fused data and the differences in the original data to assess whether the fused data is reliable. The formula is:

[0064]

[0065] Among them, F represents the fused data, X i represents the original data of the i-th data source, represents the data of the i-th data source after adaptive cleaning, Z represents the normalization constant, t represents time, τ represents the time integral variable, and a i and b i They represent the lower and upper limits of the time interval of the i-th data source, respectively, and c i and d i They represent the lower and upper limits of the integration within the time interval of the i-th data source, respectively. R represents an indicator for evaluating the reliability of fused data. a and b represent the lower and upper limits of the time interval. c and d represent the lower and upper limits of the time integral variable. exp represents an exponential function.

[0066] The value threshold of R is a positive real number. The closer the value of R is to 1, the more reliable the fused data is.

[0067] High-precision sensors and wearable devices are used to collect multi-dimensional data of the denture designer during the operation in real time, including physical quantities such as force, position, and touch, as well as the denture designer's physiological indicators such as heart rate and electromyography, ensuring the comprehensiveness and accuracy of the data. These data provide detailed operating behaviors and physiological reactions, providing a solid foundation for subsequent analysis and evaluation. Accurate data acquisition and processing improve the scientificity and objectivity of the review process, avoid deviations caused by human factors, and provide a more reliable basis for the designer's skill review.

[0068] S2: Use the processed data and combine the weights of each dimension to build a comprehensive evaluation model.

[0069] Based on the evaluation of the skills of denture designers, including operational skills, design innovation, customer satisfaction, and physiological and psychological states, the weights of each evaluation dimension are determined by combining the hierarchical analysis method, and a comprehensive evaluation model is constructed by combining the multi-objective optimization technology. The formula is expressed as follows:

[0070]

[0071] Among them, E represents the comprehensive evaluation result, F j represents the data fusion result of the jth dimension, w j represents the weight of the jth dimension, t represents time, τ represents the time integral variable, and a j and b j They represent the lower and upper limits of the time interval of the j-th dimension data, respectively, and c j and d j are the lower and upper limits of the integral in the time interval of the j-th dimension data, e j and f j It represents another integral lower limit and upper limit within the time interval of the j-th dimension data, and exp represents the exponential function.

[0072] The value threshold of E is a positive real number. The larger the value of E is, the better the comprehensive evaluation result of the denture designer is.

[0073] By using big data analysis technology and combining the weights of various dimensions, a scientific comprehensive evaluation model is constructed. This model can effectively integrate and analyze multi-source data and provide comprehensive and objective review results. Through a scientific evaluation model, the designer's operational skills, design innovation, customer satisfaction and technical level can be comprehensively evaluated, providing a multi-dimensional comprehensive evaluation for denture designers and improving the accuracy and authority of the review results.

[0074] S3: Establish a multi-regional cloud collaborative review platform and build a review report analysis model.

[0075] Build a cloud computing-based writing review platform, upload the denture designer's operation data and the denture designer's design works to the platform, and allow multiple experts to comprehensively score the denture designer's works and operation data.

[0076] Collect all the expert review data and use big data analysis technology to build a scoring model. The formula is:

[0077]

[0078] Among them, Z i represents the comprehensive score of the experts on the denture designer i, K represents the number of experts involved in the review, S ik represents the expert k's rating of the denture designer i, D i (t) represents the operation data of designer i at time t, α and β represent weight coefficients, a i and b i They represent the lower and upper limits of the time interval of the operation data of the denture designer i, c i and d i Indicates the lower and upper limits of integration.

[0079] Z i The value range is between 0 and 10.

[0080] When 0≤Z≤3, the overall performance of the designer is poor and needs further improvement;

[0081] When 4≤Z≤7, the designer’s performance is moderate and there is some room for improvement.

[0082] When 8≤Z≤10, the designer’s overall performance is excellent.

[0083] Establish a multi-regional cloud collaborative review platform and construct a review report analysis model, which also includes generating a review report based on the experts' comprehensive scores of denture designers. The report lists in detail the comprehensive scores and expert opinions of each dimension.

[0084] By collecting all the data of each denture designer to generate long-term data analysis, the platform can provide the designer's progress trend, help designers understand their own growth trajectory, and formulate long-term development plans.

[0085] A multi-regional cloud collaborative review platform was established to allow multiple experts to conduct online comprehensive scoring and discussion of designers' works and operational data. The elasticity and high availability of cloud computing ensure the real-time nature of the review process and the efficiency of data processing. The cloud collaborative review platform improves the efficiency and transparency of the review work, ensures the timely collection and feedback of multiple opinions, and promotes the fairness and scientific nature of the review process.

[0086] S4: Based on the evaluation data of denture designers after comprehensive evaluation and review analysis, a personalized evaluation model for denture designers is constructed.

[0087] The formula of the personalized evaluation model for denture designers is as follows:

[0088]

[0089] Among them, P i represents the personalized evaluation score of designer i, α represents the weight of the comprehensive evaluation score, and E i represents the comprehensive evaluation score of designer i, β represents the weight of the operation data, and D i (t) represents the operation data of designer i at time t, T represents the time interval length of the operation data, γ represents the weight of the expert score, and Z ik represents the score of expert k on designer i, K represents the number of experts involved in the review, δ represents the weight of personal background data, and B i Represents the personal background data of designer i.

[0090] Set each weight to:

[0091] α=0.25

[0092] β=0.25

[0093] γ=0.25

[0094] δ=0.25

[0095] P i The value threshold is 0 to 7.5.

[0096] When 0 ≤ P ≤ 2.5, the overall performance of denture designers is poor. Conduct a detailed skills and operation analysis, use high-precision sensors to record operation data, identify the main problems, and formulate personalized training plans for the identified problems. Regularly conduct evaluations and feedback, monitor the progress of denture designers, and through big data analysis technology, dynamically adjust and improve strategies to ensure that the goals at each stage are clear, quantifiable, and achievable.

[0097] When 2.5 < P ≤ 5, the performance of denture designers is medium. Introduce new materials and new processes, provide corresponding training and practical opportunities, enable denture designers to master the latest technologies and methods, and through a regular review and feedback mechanism, provide detailed improvement suggestions and guidance to help designers identify their own strengths and weaknesses, formulate practical improvement plans, and gradually improve the overall score.

[0098] When 5 < P ≤ 7.5, the overall performance of denture designers is excellent. Encourage participation in high-difficulty and innovative projects, provide more opportunities for independent design and experiments, and stimulate the creativity and potential of denture designers. In terms of materials and processes, explore and apply the most cutting-edge technologies and materials to enhance the innovation and practicality of works. Through regular high-level reviews and exchanges, promote the sharing of experience and knowledge, and encourage designers to continuously break through themselves and reach a higher professional level.

[0099] Based on the data after comprehensive evaluation and review analysis, construct a personalized evaluation model, and provide specific improvement suggestions and personalized development plans. Designers can obtain targeted training courses and skill improvement plans, clarify their own strengths and weaknesses, and formulate practical improvement measures. The personalized evaluation model helps designers understand their overall performance and progress, provides targeted improvement suggestions, promotes the continuous improvement of their skill levels and professional abilities, and contributes to the career development and growth of designers.

[0100] Furthermore, through scientific data processing methods and comprehensive evaluation models, the scientific nature and objectivity of the review process have been significantly improved. It avoids the subjective biases and interference of human factors in traditional review methods, and ensures the fairness and justice of review results.

[0101] On the other hand, this embodiment also provides a denture designer skill review system based on comprehensive evaluation, which includes:

[0102] A data layer that collects relevant data through high-precision sensors and wearable devices and analyzes and processes the collected data.

[0103] An analysis and evaluation layer that uses the processed data to construct a comprehensive evaluation model in combination with the weights of each dimension.

[0104] At the review layer, a multi-regional cloud collaborative review platform is established to build a review report analysis model.

[0105] The individual assessment layer builds a personalized assessment model for denture designers based on the evaluation data of denture designers after comprehensive evaluation and review analysis.

[0106] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0107] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0108] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0109] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0110] Example 2

[0111] Ten prosthesis designers were selected as test subjects. They came from different prosthesis design companies and had different work experience and technical levels. During the experiment, high-precision sensors and wearable devices were used to collect multi-dimensional data of the designers during their operation. These devices included force sensors, position sensors, tactile sensors, heart rate monitoring devices, and electromyography devices.

[0112] Sensors are installed on the designer's workbench and tools, and wearable devices are worn at the same time to record various physical quantities and physiological indicators during the operation in real time. The collected data includes operation accuracy, operation speed, working time, heart rate, electromyography, etc. Each designer completed a standardized denture design task with unified task content and requirements to ensure data comparability.

[0113] Using the cloud collaborative review platform deployed in multiple regions, five senior experts were invited to review the designers' works and operation data online. The experts scored the design works based on multiple dimensions such as innovation, practicality, and aesthetics, while also referring to the scoring results of the comprehensive evaluation model. The review data was processed through big data analysis technology to generate a detailed review report.

[0114] Based on the review and analysis results, a personalized evaluation model was constructed to provide each designer with specific improvement suggestions and career development plans. Through data visualization tools, designers can intuitively see their overall performance and progress and develop clear improvement plans. The experimental data is shown in Table 1.

[0115] Table 1 Experimental data table

[0116]

[0117] First, in terms of operational accuracy, the data showed that the use of high-precision sensors and wearable devices can effectively improve the designer's operational accuracy. The operational accuracy of the six denture designers was maintained between 0.2mm and 0.35mm, showing a high degree of accuracy.

[0118] In terms of operation speed and working hours, the data show that there are certain differences in the operation speed and working hours of denture designers, but overall they remain within a reasonable range. The comprehensive evaluation score calculated by the comprehensive evaluation model reflects the comprehensive performance of each dimension, with a score between 7.5 and 8.5, which shows the effectiveness and scientificity of the evaluation model in comprehensively evaluating the skills of designers.

[0119] Heart rate and EMG data provide the physiological status of denture designers during operation. The data show that the heart rate and EMG values ​​of most denture designers are within the normal range, and only a few denture designers have higher heart rate and EMG values ​​when working under high load. These data provide an important basis for subsequent personalized improvement suggestions, helping designers adjust their work rhythm, reduce fatigue, and improve work efficiency.

[0120] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A denture designer skill review method based on comprehensive evaluation, characterized in that: include: Collect relevant data through high-precision sensors and wearable devices, and analyze and process the collected data; Utilize the processed data and combine the weights of each dimension to build a comprehensive evaluation model; Establish a multi-regional cloud collaborative review platform and build a review report analysis model; Based on the evaluation data of denture designers after comprehensive assessment and review analysis, a personalized evaluation model for denture designers is constructed.

2. The method for evaluating the skills of denture designers based on comprehensive evaluation according to claim 1, characterized in that: The relevant data include the denture designer’s operation skill data, design innovation diagram data, customer satisfaction data, technical level data, and the denture designer’s heart rate, electromyography monitoring data, eye tracking data, and respiratory monitoring data during operation; High-precision sensors include force sensors, position sensors, tactile sensors, optical sensors, and temperature sensors; Wearable devices include heart rate monitoring devices, electromyography devices, eye trackers, respiratory monitoring devices, smart gloves, smart bracelets, smart glasses, smart helmets and smart insoles.

3. The method for evaluating the skills of denture designers based on comprehensive evaluation according to claim 2, characterized in that: The analysis and processing of the collected data includes designing multiple dimensions and multiple sources of the collected relevant data, and integrating the relevant data from multiple dimensions and multiple sources through adaptive data cleaning and multi-source data alignment technology; Suppose there are n data sources, and the original data of each data source is X i (where i = 1, 2, ..., n), the cleaned data is The fused data is expressed as the F formula: A comprehensive evaluation is performed based on the statistical characteristics of the fused data and the differences in the original data to assess whether the fused data is reliable. The formula is: Among them, F represents the fused data, X i represents the original data of the i-th data source, represents the data of the i-th data source after adaptive cleaning, Z represents the normalization constant, t represents time, τ represents the time integral variable, and a i and b i They represent the lower and upper limits of the time interval of the i-th data source, respectively, and c i and d i They represent the lower and upper limits of the integration in the time interval of the i-th data source, respectively. R represents the index for evaluating the reliability of fused data. a and b represent the lower and upper limits of the time interval. c and d represent the lower and upper limits of the time integral variable. exp represents the exponential function. The value threshold of R is a positive real number. The closer the value of R is to 1, the more reliable the fused data is.

4. The method for evaluating the skills of denture designers based on comprehensive evaluation according to claim 3, characterized in that: Using the processed data, combined with the weights of each dimension, a comprehensive evaluation model is constructed. The skills of the denture designer include operation skills, design innovation, customer satisfaction, and physiological and psychological states. The weights of each evaluation dimension are determined by combining the analytic hierarchy process, and a comprehensive evaluation model is constructed by combining the multi-objective optimization technology. The formula is expressed as follows: Among them, E represents the comprehensive evaluation result, F j represents the data fusion result of the jth dimension, w j represents the weight of the jth dimension, t represents time, τ represents the time integral variable, and a j and b j They represent the lower and upper limits of the time interval of the j-th dimension data, respectively, and c j and d j are the lower and upper limits of the integral in the time interval of the j-th dimension data, e j and f j represents another integral lower limit and upper limit in the time interval of the j-th dimension data, and exp represents an exponential function; The value threshold of E is a positive real number. The larger the value of E is, the better the comprehensive evaluation result of the denture designer is.

5. The method for evaluating the skills of denture designers based on comprehensive evaluation according to claim 4, characterized in that: Establish a multi-regional deployment cloud collaborative review platform and construct a review report analysis model, including building a cloud computing-based writing review platform, uploading the operation data of the denture designer and the design works of the denture designer to the platform, and allowing multiple experts to comprehensively score the works and operation data of the denture designer; Collect all the expert review data and use big data analysis technology to build a scoring model. The formula is: Among them, Z i represents the comprehensive score of the experts on the denture designer i, K represents the number of experts involved in the review, S ik represents the expert k's rating of the denture designer i, D i (t) represents the operation data of designer i at time t, α and β represent weight coefficients, a i and b i They represent the lower and upper limits of the time interval of the operation data of the denture designer i, c i and d i Indicates the lower and upper limits of the integral; Z i The value range of is between 0 and 10; When 0≤Z≤3, the overall performance of the designer is poor and needs further improvement; When 4≤Z≤7, the designer’s performance is moderate and there is some room for improvement; When 8≤Z≤10, the designer’s overall performance is excellent.

6. The method for evaluating the skills of denture designers based on comprehensive evaluation according to claim 5, characterized in that: Establish a multi-regional cloud collaborative review platform and build a review report analysis model, which also includes generating a review report based on the comprehensive scores of experts on denture designers, and listing the comprehensive scores and expert opinions of each dimension in detail in the report; By collecting all the data of each denture designer to generate long-term data analysis, the platform can provide the designer's progress trend, help designers understand their own growth trajectory, and formulate long-term development plans.

7. The method for evaluating the skills of denture designers based on comprehensive evaluation according to claim 6, characterized in that: The formula of the personalized evaluation model for denture designers is as follows: Among them, P i represents the personalized evaluation score of designer i, α represents the weight of the comprehensive evaluation score, and E i represents the comprehensive evaluation score of designer i, β represents the weight of the operation data, and D i (t) represents the operation data of designer i at time t, T represents the time interval length of the operation data, γ represents the weight of the expert score, and Z ik represents the score of expert k on designer i, K represents the number of experts involved in the review, δ represents the weight of personal background data, and B i Represents the personal background data of designer i; P i The value threshold of is 0 to 7.5; When 0 ≤ P ≤ 2.5, the overall performance of the denture designer is poor. Conduct a detailed skills and operation analysis, use high-precision sensors to record operation data, identify the main problems, and develop a personalized training plan for the identified problems. Regularly conduct evaluations and feedback, monitor the progress of the denture designer, and dynamically adjust and improve strategies through big data analysis technology to ensure that the goals at each stage are clear, quantifiable, and achievable. When 2.5 < P ≤ 5, the performance of the denture designer is medium. Introduce new materials and new processes, provide corresponding training and practical opportunities, enable the denture designer to master the latest technologies and methods, and provide detailed improvement suggestions and guidance through a regular review and feedback mechanism to help the designer identify their own strengths and weaknesses, develop a practical improvement plan, and gradually improve the overall score. When 5 < P ≤ 7.5, the overall performance of the denture designer is excellent. Encourage participation in high-difficulty and innovative projects, provide more opportunities for independent design and experimentation, and stimulate the creativity and potential of the denture designer. In terms of materials and processes, explore and apply the most cutting-edge technologies and materials to enhance the innovation and practicality of the works. Through regular high-level reviews and exchanges, promote the sharing of experience and knowledge, and encourage the designer to continuously break through themselves and reach a higher professional level.

8. A denture designer skill review system based on comprehensive evaluation using the method according to any one of claims 1 to 7, characterized in that: Data layer: Collect relevant data through high-precision sensors and wearable devices, and analyze and process the collected data. Analysis and evaluation layer: Use the processed data and construct a comprehensive evaluation model in combination with the weights of each dimension. Review layer: Establish a multi-region deployed cloud collaboration review platform and construct a review report analysis model. Personalized evaluation layer: Based on the evaluation data of the denture designer after comprehensive evaluation and review analysis, construct a personalized evaluation model for the denture designer.

9. A computer device comprising: Memory and processor; The memory stores a computer program, characterized in that: when the processor executes the computer program, the steps of the skill review method for denture designers based on comprehensive evaluation are realized.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the skill review method for denture designers based on comprehensive evaluation are realized.

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