Evaluation system for occupational adaptability of disabled people

Abstract

The invention discloses a disabled person occupational adaptability evaluation system, and relates to the technical field of disabled person assistance, and the system comprises a virtual environment generation module, a personalized scene configuration module, an evaluation task execution module, a data collection and analysis module, and a result feedback and guidance module. According to the technology, a series of highly-customized working scene simulations can be dynamically created according to specific conditions, occupational interests and potential abilities of different disabled persons, and the simulation environments highly restore tasks, challenges and interactions in real working scenes and also greatly improve the working experience of the disabled persons. In addition, special requirements of the disabled are fully considered, and in the virtual environment, the disabled can perform actual operation safely without pressure, so that the performance and the adaptive capacity of the disabled in specific work are more truly shown.

Description

Technical Field

[0001] The present invention relates to the field of assistive technology for the disabled, and in particular to a vocational adaptability assessment system for the disabled. Background Art

[0002] With the rapid development of science and technology, virtual reality (VR) technology, as an emerging digital interaction method, has shown great application potential in education, entertainment, and medical fields. By simulating a three-dimensional environment, this technology allows users to immerse themselves in a highly simulated virtual world and have an interactive experience. In the field of career assessment and guidance, virtual reality technology, with its unique immersive experience and high customizability, provides new ideas for the innovation of assessment methods. Especially for people with disabilities, virtual reality technology can break the limitations of traditional assessment methods and provide strong support for the scientific and comprehensive assessment of their career adaptability.

[0003] Although traditional occupational adaptability assessment methods can help evaluate the work ability and potential of people with disabilities to a certain extent, they still have significant shortcomings in personalized scenario simulation. First, traditional methods are often limited by venue, equipment and resource constraints, making it difficult to build diverse work scenarios, let alone personalize configurations based on the specific types and career interests of people with disabilities. Second, traditional methods usually rely on standardized test items and assessment processes, making it difficult to fully simulate the complexity and diversity of actual work scenarios, resulting in assessment results that often deviate from reality. In particular, in terms of personalized scenario simulation, traditional methods lack flexibility and dynamism, and cannot be dynamically adjusted and optimized based on the real-time performance and feedback of people with disabilities, thus affecting the accuracy and effectiveness of the assessment.

[0004] Therefore, developing a vocational adaptability assessment system for people with disabilities can fully utilize the advantages of virtual reality technology, build a highly simulated work environment model, realize personalized scene configuration and dynamic task adjustment, provide people with disabilities with immersive career experience and comprehensive assessment services, and through real-time data collection and analysis, accurately assess the performance and adaptability of people with disabilities in specific jobs, and provide personalized career advice and development paths based on their personal characteristics and career interests, thereby providing strong support for their career planning and development. Summary of the invention

[0005] The purpose of the present invention is to make up for the shortcomings of the existing technology and provide a system for evaluating the occupational adaptability of disabled people. The system includes five modules: virtual environment generation, personalized scene configuration, evaluation task execution, data collection and analysis, and result feedback and guidance. It constructs diversified virtual scenes through computer graphics, and automatically configures personalized scenes according to the type of disabled people and their occupational interests. The evaluation tasks are closely integrated with actual work, comprehensively evaluate work ability, collect and analyze evaluation data in real time, generate detailed reports, and provide accurate career advice based on personal characteristics.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a system for evaluating the occupational adaptability of disabled persons, the system comprising a virtual environment generation module, a personalized scene configuration module, an evaluation task execution module, a data collection and analysis module, and a result feedback and guidance module; The virtual environment generation module uses computer graphics and VR technology to construct a work environment model including offices, factory production lines, and service industry places; The personalized scene configuration module can automatically configure personalized work scenes according to the specific type and occupational interests of the disabled person; After the personalized scenario configuration is completed, the assessment task execution module automatically generates assessment tasks combining actual work scenarios, communication skills, operational skills, and problem-solving skills according to preset occupational assessment standards, and evaluates the work performance and adaptability of the disabled by simulating actual operations; The data collection and analysis module collects the task completion time, error rate and operation fluency in the evaluation process in real time, and analyzes the data through intelligent algorithms to form an evaluation report containing specific evaluation results, personal characteristics and career interests of the disabled, and provides personalized career advice and development paths; After the assessment is completed, the result feedback and guidance module will present the assessment report to the disabled and their employment counselors in an intuitive and easy-to-understand manner, and provide online consulting services. Professional career counselors will provide one-to-one guidance and suggestions based on the assessment results.

[0007] Furthermore, the personalized scenario configuration module receives basic information of the disability type input by the user and verifies, classifies and organizes it, identifies major obstacles and special needs based on the disability type through the demand analysis engine, selects a work environment template from the career scenario library according to career interests, combines the two and uses formulas to generate personalized scenario configuration plans, provides a manual adjustment and optimization interface for users to fine-tune, and comprehensively checks the plan through a verification mechanism, saves it to the database, deploys it in the VR environment and presents it to the user through the device.

[0008] Furthermore, the social relationship and activity demand analysis module generates a personalized scene configuration plan based on the scene matching results of the disability type demand analysis and the occupational interest using a formula, and the formula is: ,in, Reflect the impact of disability type on configuration plan and the degree of satisfaction of needs assessment, Reflect the adaptation and guidance of professional interests on configuration plans, Consider the cost and difficulty of implementing the configuration solution. is the comprehensive evaluation value of the personalized configuration solution. is a set of disability type impact weight coefficients, each disability type Corresponding to a weight coefficient , Disability Type For various configuration elements The demand function of Indicates the type of disability Function of the degree of special requirements for the height of the operating table, is a set of weight coefficients of career interest, each career interest Corresponding to a weight coefficient , For career interests For various configuration elements The adaptation function of It also covers the above aspects. It represents the adaptation requirement function of the occupational interest to the color contrast in the configuration scheme, For configuration elements The base cost and implementation difficulty coefficient function.

[0009] Furthermore, the assessment task execution module selects highly relevant task templates from the task template library using a matching formula based on the results of personalized scenario configuration, builds a multi-dimensional capability assessment framework based on occupational assessment standards, sets specific indicators and scoring criteria, and automatically generates assessment tasks using formulas in combination with scenario configurations and task templates. During task execution, an adaptive learning algorithm is used to dynamically adjust the difficulty and type of tasks based on the real-time performance of the disabled. Data is collected in real time during task execution through integrated devices to evaluate the performance of the disabled in various dimensions. After all tasks are completed, a comprehensive assessment report is automatically generated based on the performance data.

[0010] Furthermore, the evaluation task execution module selects highly relevant task templates from the task template library using a matching formula. For task templates For each task template in the task template library, , has a characteristic vector , Indicates the number of feature dimensions, each feature dimension Represents the quantitative value of the characteristics of the task template in a certain aspect, and has a feature vector for the personalized scenario , and each element Represents the characteristic quantization value of the personalized scenario in the corresponding dimension, and introduces the weight vector , where each It represents the importance weight of the corresponding feature dimension when evaluating the relevance. The matching formula is: ,according to The values ​​of are used to sort the task templates and set a relevance threshold ,when When task template Task templates that are highly relevant to personalized scenarios.

[0011] Furthermore, the evaluation task execution module automatically generates the evaluation task by combining the scenario configuration and the task template using a formula, the formula is: ,in, is the quality assessment value of the evaluation task set, Represents a collection of task templates, each of which There is a corresponding eigenvector , the feature vector contains the task type feature value , Difficulty characteristic value , and the characteristic value set of correlation with each evaluation dimension , Represents different dimensions in the assessment framework, is the task type weight coefficient, which is used to measure the importance of different task types in the overall task set. is the task difficulty weight coefficient, which regulates the rationality of task difficulty distribution. is a set of weight coefficients associated with the evaluation dimensions. Corresponding to a weight coefficient , used to reflect the relative importance of each dimension in task generation, is a randomness adjustment factor, ranging from [0, 1], which is used to control the degree of randomness in the task generation process.

[0012] Furthermore, the specific steps of the assessment task execution module using the optimization algorithm to adjust the difficulty and type of the task are: (1) Collect basic information about people with disabilities and conduct preliminary capacity assessments, and design initial task sequences covering different levels of difficulty and special needs based on the results; (2) Disabled people perform tasks, using sensors, software tools, and manual observation to collect task performance data including completion time in real time and focus on their difficulties and advantages; (3) Providing immediate feedback to people with disabilities during the task, assessing their ability level and adjusting the difficulty and type of tasks based on the collected data and feedback; (4) Integrate and analyze the data, identify performance patterns, adjust algorithm parameters and models, optimize task sequence generation logic, apply optimization algorithms and iteratively update; (5) Continuously monitor and evaluate the performance of tasks and capacity development of persons with disabilities, provide personalized support, and encourage them to participate in decision-making and jointly develop task plans.

[0013] Furthermore, the data collection and analysis module automatically captures the task completion time, error rate, operation fluency, user interaction feedback and physiological indicator data during the evaluation process, preprocesses and cleans the collected raw data, calculates the statistics of each indicator, understands the basic distribution of the data, analyzes the changing patterns of task completion time, error rate and operation fluency, predicts its future performance trend, calculates the adaptability of disabled people in different occupational fields through formulas, combines the personal characteristics, professional interests and data analysis results of disabled people, comprehensively evaluates the work advantages, potential challenges and suitable occupational fields of disabled people, and generates a comprehensive evaluation report based on the comprehensive evaluation results.

[0014] Furthermore, the data collection and analysis module analyzes the changing patterns of task completion time, error rate and operation fluency, and predicts its future performance trend. Indicates The time to complete the task, Indicates The error rate of the task, Indicates The operation smoothness of the task is quantified, and the time weight coefficient vector is introduced , define the prediction function as ,in, Represents the number of future tasks, and calculates the weighted average time value for the prediction of task completion time , the formula is; , calculate the average rate of change of the two task completion times, the formula is: , the task completion time is calculated by the task completion time prediction formula, the formula is: , for the prediction of error rate, calculate the weighted average error rate , calculate the difference between two consecutive error rates , the formula is: , the error rate is calculated by the error rate prediction formula, the formula is: , for the prediction formula of operation fluency, calculate the weighted average operation fluency value The formula is: , calculate the improvement rate of the fluency of two adjacent operations, the improvement rate The calculation formula is: , the operation fluency is calculated by the operation fluency prediction formula, the formula is: .

[0015] Furthermore, the data collection and analysis module calculates the adaptability of disabled people in different occupational fields through formulas, and calculates the matching function between disabled people's characteristics and occupational characteristics. The formula is: , calculate the adaptability comprehensive score , the formula is: , the adaptability scores are normalized to [-1, 1], making the adaptability scores of people with different disabilities and different occupational fields comparable. A value close to 1 indicates that the disabled person is highly adaptable to this occupational field. Close to -1 means very low fitness Compared with the existing technology, this system for evaluating the occupational adaptability of disabled persons has the following beneficial effects: 1. The present invention greatly enriches the means of career assessment and guidance for people with disabilities by introducing personalized scenario simulation technology. This technology can dynamically create a series of highly customized work scenario simulations based on the specific conditions, career interests and potential abilities of different people with disabilities. These simulation environments not only highly restore the tasks, challenges and interactions in real work scenarios, but also fully consider the special needs of people with disabilities. In such a virtual environment, people with disabilities can perform actual operations safely and without pressure, thereby more realistically demonstrating their performance and adaptability in specific jobs.

[0016] 2. The present invention promotes the diversity and inclusiveness of the career development of people with disabilities through personalized scenario simulation functions. Traditional career assessments are often limited to fixed test items and standardized assessment environments, and it is difficult to fully reflect the potential and adaptability of people with disabilities in different career fields. The present invention opens up a broader career vision for people with disabilities by providing diversified scenario simulations. They can try and experience a variety of professional roles in the simulation, so as to more clearly understand their interests and areas of strength. This career exploration process based on personalized scenario simulation helps people with disabilities make more wise and suitable career choices, thereby promoting their success and satisfaction in their careers.

[0017] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 It is a process framework diagram of a vocational adaptability assessment system for people with disabilities; Figure 2 Flowchart of the module executing the assessment task. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Embodiment 1: This embodiment provides a system for evaluating the career adaptability of persons with disabilities. The system can accurately match personalized scenarios, automatically generate evaluation tasks, and collect data in real time during the execution of tasks to evaluate the communication, operational, and problem-solving abilities of persons with disabilities. Through data analysis and prediction, the adaptability of persons with disabilities in different career fields can be scientifically evaluated and detailed evaluation reports can be generated. In addition, online consulting services are also provided, with professional career counselors providing one-on-one guidance and suggestions based on the evaluation results to help persons with disabilities clarify their career direction and improve their employment competitiveness.

[0022] In the specific implementation, the virtual environment generation module specifies the type of virtual environment to be constructed, such as offices, factory production lines, and service industry venues, based on the needs of the occupational adaptability assessment for people with disabilities, and analyzes the basic characteristics, layout requirements, and interactive elements involved in each environment. Based on the results of the demand analysis, the module uses 3D modeling software to build a three-dimensional model of the environment, and sets appropriate light source positions, colors, and intensities for the virtual environment to simulate natural light and indoor lighting effects. It uses a physics engine to add physical properties to objects in the virtual environment. After completing the preliminary modeling and setup, it optimizes the performance of the virtual environment to reduce the rendering burden and improve fluency.

[0023] In the personalized scenario configuration module, users input basic information about the disability type through the system interface, such as the specific location and degree of limb disability, and the degree of vision and hearing disability. The system verifies the input information to ensure the accuracy and completeness of the data, and classifies the disabled into corresponding disability type groups based on the verified basic information. The specific needs and obstacles of each type of disabled person are sorted out, and the main obstacles and special needs that disabled people may encounter in different occupational scenarios are identified in combination with the preset database of associations between disability types and work environments. Relevant work environment templates are retrieved from the occupational scenario library based on occupational interests. In combination with the main obstacles, special needs and selected occupational interests of disabled people, personalized scenario configuration plans are automatically generated using algorithm formulas. An intuitive and easy-to-use manual adjustment and optimization interface is provided, allowing users to fine-tune the generated personalized scenario configuration plans according to their preferences and needs. Before finalizing the configuration plan, the plan is comprehensively checked through the verification mechanism, and saved to the database after verification and confirmation for subsequent query and management.

[0024] The assessment task execution module selects highly relevant task templates from the task template library using an intelligent matching algorithm based on the personalized scenario configuration results, builds a multi-dimensional capability assessment framework based on the occupational assessment standards and combines scenario and template refinement, automatically generates assessment tasks containing detailed information through preset formulas, collects data in real time through integrated devices during task execution, and uses data analysis algorithms to evaluate the performance of people with disabilities, dynamically adjusts task difficulty and type based on their real-time performance using an adaptive learning algorithm, and automatically generates a comprehensive assessment report based on performance data containing multi-dimensional scores, rankings and recommendations after all tasks are completed.

[0025] The data collection and analysis module collects data covering task completion time, error rate, operation fluency, user interaction feedback and physiological indicators, pre-processes and cleans the data through denoising, standardization and missing value processing, conducts basic distribution, trend and correlation analysis and builds a prediction model, and calculates the adaptability of people with disabilities in different occupational fields through formulas. The adaptability scores of people with disabilities in different occupational fields are evaluated based on personal characteristics and occupational field characteristics, and a comprehensive evaluation is conducted to determine their work advantages, potential challenges and suitable fields, and then generate a report containing detailed evaluation results and personalized suggestions.

[0026] Result feedback and guidance module: after the assessment task is completed, the system automatically organizes and analyzes key indicator data, generates a comprehensive and objective detailed assessment report that includes advantages and areas for improvement, visualizes the report, and converts the data into easy-to-understand visual elements in the form of charts, presents it to users in a friendly interface, and provides voice explanation to assist understanding. It also provides online consulting services, allowing users to contact career counselors through chat tools and video calls to obtain one-on-one guidance and suggestions based on the assessment report combined with personal circumstances and career interests. A tracking and feedback mechanism is established, and tracking questionnaires are sent regularly to understand users' career development and satisfaction. Users can also provide feedback and suggestions at any time to promote system optimization and improvement of service content.

[0027] Embodiment 2: A system for assessing the career adaptability of persons with disabilities in this embodiment places special emphasis on automatically capturing multi-dimensional data in the assessment process, preprocessing and cleaning the data, and then analyzing the changing patterns of the data, and comprehensively using algorithms and personalized configurations to provide accurate career adaptability assessments and personalized career advice for persons with disabilities.

[0028] Receive basic information about disability type input by the user, verify, classify and organize the input information to ensure its accuracy and completeness, identify major obstacles and special needs based on disability type through the demand analysis engine, clarify the specific needs and limitations of people with disabilities in the occupational environment, and provide a basis for subsequent configuration plans; select appropriate work environment templates from the occupational scenario library based on occupational interests; and select work environment templates that match the user's occupational interests in combination with the user's occupational interests to enhance the user's occupational adaptability.

[0029] Combined with the needs analysis of disability types and the occupational scenario template, a formula is used to generate a personalized scenario configuration plan. The formula is: ,in, Reflect the impact of disability type on configuration plan and the degree of satisfaction of needs assessment, Reflects the evaluation of the adaptation and guiding role of career interests in configuration plans, Consider the cost and difficulty of implementing the configuration solution. is the comprehensive evaluation value of the personalized configuration solution. is a set of disability type impact weight coefficients, each disability type Corresponding to a weight coefficient , Disability Type For various configuration elements The demand function of Covers accessible design elements, assistive tool features, interface parameters, workflow variables, Indicates the type of disability Function of the degree of special requirements for the height of the operating table, is a set of weight coefficients of career interest, each career interest Corresponding to a weight coefficient , For career interests For various configuration elements The adaptation function of It also covers the above aspects. It represents the adaptation requirement function of the occupational interest to the color contrast in the configuration scheme, For configuration elements The base cost and implementation difficulty coefficient function.

[0030] A manual adjustment and optimization interface is provided for users to fine-tune the generated configuration plan to ensure that the configuration plan is more in line with the user's personalized needs and improve user satisfaction and adaptability. Before the configuration plan is finally determined, the plan is comprehensively checked through the verification mechanism to ensure the rationality and feasibility of the configuration plan, and then it is saved to the database. The verified configuration plan is deployed in the VR environment and presented to the user through the device, allowing the user to personally experience the personalized work scene in the virtual environment and evaluate its adaptability and comfort.

[0031] According to the results of personalized scenario configuration, highly relevant task templates are selected from the task template library using matching formulas. For task templates For each task template in the task template library, , has a characteristic vector , Indicates the number of feature dimensions, each feature dimension Represents the quantitative value of the characteristics of the task template in a certain aspect, and has a feature vector for the personalized scenario , and each element Represents the characteristic quantization value of the personalized scenario in the corresponding dimension, and introduces the weight vector , where each It represents the importance weight of the corresponding feature dimension when evaluating the relevance. The matching formula is: ,according to The values ​​of are used to sort the task templates and set a relevance threshold ,when When task template Task templates that are highly relevant to personalized scenarios.

[0032] A multi-dimensional capability assessment framework is constructed based on the professional assessment standards, and specific indicators and scoring criteria are set. The assessment task formula is automatically generated by combining the scenario configuration and task template: ,in, is the quality assessment value of the evaluation task set, Represents a collection of task templates, each of which There is a corresponding eigenvector , the feature vector contains the task type feature value , Difficulty characteristic value , and the characteristic value set of correlation with each evaluation dimension , Represents different dimensions in the assessment framework, is the task type weight coefficient, is the task difficulty weight coefficient, is a set of weight coefficients associated with the evaluation dimensions. Corresponding to a weight coefficient , used to reflect the relative importance of each dimension in task generation, is a randomness adjustment factor ranging from [0, 1], which is used to control the degree of randomness in the task generation process. During the task execution process, an adaptive learning algorithm is used to dynamically adjust the difficulty and type of tasks according to the real-time performance of people with disabilities. Basic information of people with disabilities is collected and preliminary ability assessment is conducted. An initial task sequence covering different difficulty levels and special needs is designed. When people with disabilities perform tasks, data on completion time, error rate, and operation fluency are collected in real time. The ability level is evaluated based on the collected data and instant feedback, and the difficulty and type of tasks are dynamically adjusted. An optimization algorithm is applied to iteratively update the task sequence generation logic. The task execution and ability development of people with disabilities are continuously monitored and evaluated. Data is collected in real time during task execution through integrated devices to evaluate the performance of people with disabilities in various dimensions. After all tasks are completed, a comprehensive evaluation report is automatically generated based on the performance data.

[0033] Through sensors and software tools, we can capture the task completion time, error rate, operation fluency, user interaction feedback and physiological index data in real time during the task execution process, pre-process and clean the collected raw data, calculate the statistics of each index, understand the basic distribution of the data, analyze the changing rules of task completion time, error rate and operation fluency, and predict its future performance trend. Indicates The time to complete the task, Indicates The error rate of the task, Indicates The operation smoothness of the task is quantified, and the time weight coefficient vector is introduced ,in, Indicates the corresponding The weight of the sub-task data in the overall analysis, and meets , define the prediction function as ,in Represents the number of future tasks, and calculates the weighted average time value for the prediction of task completion time , the formula is; , calculate the average rate of change of the two task completion times, the formula is: , the task completion time is calculated by the task completion time prediction formula, the formula is: , for the prediction of error rate, calculate the weighted average error rate , calculate the difference between two consecutive error rates , the formula is: , the error rate is calculated by the error rate prediction formula, the formula is: , for the prediction formula of operation fluency, calculate the weighted average operation fluency value The formula is: Calculate the improvement rate of the fluency of two adjacent operations, the improvement rate The calculation formula is: , the operation fluency is calculated by the operation fluency prediction formula, the formula is: .

[0034] The formula is used to calculate the adaptability of people with disabilities in different occupational fields, and the matching function between the characteristics of people with disabilities and occupational characteristics is calculated. The formula is: , for each characteristic of a person with disabilities and each characteristic of the occupational field , multiply them by the corresponding weight and , and then sum all the product terms to get a comprehensive matching value, which reflects the degree of fit between the characteristics of the disabled and the characteristics of the occupational field, and calculates the comprehensive adaptability score , the formula is: , by taking the matching degree Divide by the product of the modulus of the disability feature vector and the occupational feature vector, and normalize the adaptability score to [-1, 1], so that the adaptability scores of different disabled people and different occupational fields are comparable. When it is close to 1, it means that the disabled person is highly adaptable to the occupational field; When it is close to -1, it means that the fitness is very low.

[0035] Based on the personal characteristics, career interests and data analysis results of people with disabilities, a comprehensive assessment is made of their work strengths, potential challenges and suitable career fields. Based on the comprehensive assessment results, a comprehensive assessment report is generated.

[0036] This embodiment demonstrates the overall architecture and implementation process of the occupational adaptability assessment system for persons with disabilities through detailed module division and functional description. It uses advanced technical means to provide scientific and personalized occupational adaptability assessments for persons with disabilities, helping them to better choose career directions that suit them and realize personal values ​​and social integration.

[0037] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A system for assessing the occupational adaptability of disabled persons, characterized by: The system consists of a virtual environment generation module, a personalized scene configuration module, an evaluation task execution module, a data collection and analysis module, and a result feedback and guidance module; The virtual environment generation module uses computer graphics and VR technology to construct a work environment model including offices, factory production lines, and service industry places; The personalized scene configuration module can automatically configure personalized work scenes according to the specific type and occupational interests of the disabled person; After the personalized scenario configuration is completed, the assessment task execution module automatically generates assessment tasks combining actual work scenarios, communication skills, operational skills, and problem-solving skills according to preset occupational assessment standards, and evaluates the work performance and adaptability of the disabled by simulating actual operations; The data collection and analysis module collects the task completion time, error rate and operation fluency in the assessment process in real time, and analyzes the data through intelligent algorithms to form an assessment report containing specific assessment results, personal characteristics and career interests of the disabled, and provides personalized career advice and development paths; After the assessment is completed, the result feedback and guidance module will present the assessment report to the disabled and their employment counselors in an intuitive and easy-to-understand manner, and provide online consulting services. Professional career counselors will provide one-to-one guidance and suggestions based on the assessment results.

2. A system for assessing the occupational adaptability of disabled persons according to claim 1, characterized in that: The personalized scene configuration module receives basic information about the disability type input by the user and verifies, classifies and organizes it, identifies major obstacles and special needs based on the disability type through a demand analysis engine, selects a work environment template from a career scene library based on career interests, combines the two and uses a formula to generate a personalized scene configuration plan, provides a manual adjustment and optimization interface for users to fine-tune, and comprehensively checks the plan through a verification mechanism, saves it to a database, deploys it in a VR environment, and presents it to the user through a device.

3. A disabled person's occupational adaptability assessment system according to claim 2, characterized in that: The social relationship and activity demand analysis module generates a personalized scenario configuration plan based on the demand analysis of disability types and the scenario matching results of occupational interests using a formula, and the formula is: ,in, Reflect the impact of disability type on configuration plan and the degree of satisfaction of needs assessment, Reflect the adaptation and guidance of professional interests on configuration plans, Consider the cost and difficulty of implementing the configuration solution. is the comprehensive evaluation value of the personalized configuration solution. is a set of disability type impact weight coefficients, each disability type Corresponding to a weight coefficient , Disability Type For various configuration elements The demand function of Indicates the type of disability Function of the degree of special requirements for the operating table height, is a set of weight coefficients of career interest, each career interest Corresponding to a weight coefficient , For career interests For various configuration elements The adaptation function of It also covers the above aspects. It represents the adaptation requirement function of the occupational interest to the color contrast in the configuration scheme, For configuration elements The base cost and implementation difficulty coefficient function.

4. The occupational adaptability assessment system for disabled persons according to claim 1 is characterized in that: The assessment task execution module selects highly relevant task templates from the task template library using a matching formula based on the results of personalized scenario configuration, builds a multi-dimensional capability assessment framework based on occupational assessment standards, sets specific indicators and scoring criteria, and automatically generates assessment tasks using formulas in combination with scenario configurations and task templates. During task execution, an adaptive learning algorithm is used to dynamically adjust the difficulty and type of tasks based on the real-time performance of the disabled. Data is collected in real time during task execution through integrated devices to evaluate the performance of the disabled in various dimensions. A comprehensive assessment report is automatically generated based on the performance data after all tasks are completed.

5. A system for assessing the occupational adaptability of disabled persons according to claim 4, characterized in that: The evaluation task execution module selects highly relevant task templates from the task template library using a matching formula. For task templates For each task template in the task template library, , has a characteristic vector , Indicates the number of feature dimensions, each feature dimension Represents the quantitative value of the characteristics of the task template in a certain aspect, and has a feature vector for the personalized scenario , and each element Represents the characteristic quantization value of the personalized scenario in the corresponding dimension, and introduces the weight vector , where each It represents the importance weight of the corresponding feature dimension when evaluating the relevance. The matching formula is: ,according to The values ​​of are used to sort the task templates and set a relevance threshold ,when When task template Task templates that are highly relevant to personalized scenarios.

6. A system for assessing the occupational adaptability of disabled persons according to claim 4, characterized in that: The evaluation task execution module automatically generates evaluation tasks by combining scenario configuration and task template using a formula, the formula is: ,in, is the quality assessment value of the evaluation task set, Represents a collection of task templates, each of which There is a corresponding eigenvector , the feature vector contains the task type feature value , Difficulty characteristic value , and the characteristic value set of correlation with each evaluation dimension , Represents different dimensions in the assessment framework, is the task type weight coefficient, which is used to measure the importance of different task types in the overall task set. is the task difficulty weight coefficient, which regulates the rationality of task difficulty distribution. is a set of weight coefficients associated with the evaluation dimensions. Corresponding to a weight coefficient , used to reflect the relative importance of each dimension in task generation, is a randomness adjustment factor, ranging from [0, 1], which is used to control the degree of randomness in the task generation process.

7. The occupational adaptability assessment system for disabled persons according to claim 4 is characterized in that: The specific steps of the evaluation task execution module using the optimization algorithm to adjust the difficulty and type of the task are: (1) Collect basic information about people with disabilities and conduct preliminary capacity assessments, and design initial task sequences covering different levels of difficulty and special needs based on the results; (2) Disabled people perform tasks, using sensors, software tools, and manual observation to collect task performance data including completion time in real time and focus on their difficulties and advantages; (3) Providing immediate feedback to people with disabilities during the task, assessing their ability level and adjusting the difficulty and type of tasks based on the collected data and feedback; (4) Integrate and analyze the data, identify performance patterns, adjust algorithm parameters and models, optimize task sequence generation logic, apply optimization algorithms and iteratively update; (5) Continuously monitor and evaluate the performance of tasks and capacity development of persons with disabilities, provide personalized support, and encourage them to participate in decision-making and jointly develop task plans.

8. The occupational adaptability assessment system for disabled persons according to claim 1 is characterized in that: The data collection and analysis module automatically captures the task completion time, error rate, operation fluency, user interaction feedback and physiological indicator data during the evaluation process, preprocesses and cleans the collected raw data, calculates the statistics of each indicator, understands the basic distribution of the data, analyzes the changing patterns of task completion time, error rate and operation fluency, predicts its future performance trend, calculates the adaptability of disabled people in different occupational fields through formulas, and comprehensively evaluates the disabled people's work advantages, potential challenges, and suitable occupational fields in combination with their personal characteristics, occupational interests and data analysis results, and generates a comprehensive evaluation report based on the comprehensive evaluation results.

9. A system for assessing the occupational adaptability of disabled persons according to claim 8, characterized in that: The data collection and analysis module analyzes the changing patterns of task completion time, error rate and operation fluency, and predicts its future performance trend. Indicates The time to complete the task, Indicates The error rate of the task, Indicates The operation smoothness of the task is quantified, and the time weight coefficient vector is introduced , define the prediction function as ,in, Represents the number of future tasks, and calculates the weighted average time value for the prediction of task completion time , the formula is; , calculate the average rate of change of the two task completion times, the formula is: , the task completion time is calculated by the task completion time prediction formula, the formula is: , for the prediction of error rate, calculate the weighted average error rate , calculate the difference between two consecutive error rates , the formula is: , the error rate is calculated by the error rate prediction formula, the formula is: , for the prediction formula of operation fluency, calculate the weighted average operation fluency value The formula is: , calculate the improvement rate of the fluency of two adjacent operations, the improvement rate The calculation formula is: , the operation fluency is calculated by the operation fluency prediction formula, the formula is: .

10. The occupational adaptability assessment system for disabled persons according to claim 8, characterized in that: The data collection and analysis module calculates the adaptability of disabled people in different occupational fields through formulas, and calculates the matching function between disabled people's characteristics and occupational characteristics. The formula is: , calculate the adaptability comprehensive score , the formula is: , the adaptability scores are normalized to [-1, 1], making the adaptability scores of people with different disabilities and different occupational fields comparable. A value close to 1 indicates that the disabled person is highly adaptable to this occupational field. Values ​​close to -1 indicate very low fitness.

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