Online career consultation system for disabled people
By building an online career consultation system for disabled people, the problem that traditional consultation methods are difficult to provide accurate, personalized and barrier-free services to disabled people is solved, and personalized and dynamic career planning is realized, which improves the employment competitiveness and quality of life of disabled people.
Patent Information
- Application Number
- CN202510552372.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-29
- Publication Date
- 2025-08-15
- Estimated Expiration
- Not applicable · inactive patent
Smart Images
Figure CN120494770A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of career consultation, and in particular to an online career consultation system for people with disabilities. Background Art
[0002] In terms of technical background, with the rapid development of information technology and the popularization of the Internet, online consultation and services have become a trend, especially in the field of career counseling. Online platforms can provide convenient and personalized services to meet the needs of different user groups. However, career counseling for people with disabilities faces some special challenges. Due to differences in physical conditions, skill levels, and career interests of people with disabilities, traditional career counseling methods often find it difficult to provide accurate and effective services. Therefore, developing an online career counseling system suitable for people with disabilities has important practical significance and application value.
[0003] Traditional technologies have obvious shortcomings in providing career counseling for people with disabilities. On the one hand, traditional methods usually rely on manual consultation, which makes it difficult to quickly analyze and process large amounts of data on people with disabilities. On the other hand, traditional consulting methods often lack personalized and dynamic services and cannot provide effective career planning programs based on the actual situation of people with disabilities and market changes. In addition, traditional consulting methods may also have defects in accessibility, making it difficult for some people with disabilities to fully participate in and enjoy services.
[0004] Therefore, developing an online career counseling system for people with disabilities will greatly improve the efficiency and quality of career counseling services for people with disabilities and provide strong support for their employment and career 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 an online career consulting system for people with disabilities. Through multi-source data collection, multi-dimensional data analysis, job model construction, dynamic matching and planning, and feedback and optimization of multiple modules, the system provides people with disabilities with personalized and accurate career consulting services. The system not only takes into account the individual differences in the physical condition, skill level, and career interests of people with disabilities, but also tracks market dynamics and changes in the abilities of people with disabilities in real time, realizes dynamic updates of career recommendations and predictions of career development paths, and at the same time, the barrier-free design ensures that people with disabilities can use the system conveniently.
[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: an online career consulting system for persons with disabilities, the system comprising: Multi-source data collection module: This module uses an accessible front-end interface to guide people with disabilities to enter data on their physical condition, skill level, career interests, and educational background. It also connects to the education department's student registration system and training platform to obtain academic certification and training record data, and transmits the data to the multi-dimensional data analysis module. Multidimensional Data Analysis Module: Receives data transmitted by the Multi-Source Data Acquisition Module and uses algorithms to mine potential strengths and weaknesses in different career fields based on physical condition, skills, interests, and educational background data; Job model building module: Collaborate with businesses, disabled persons' federations, and industry associations to research suitable jobs for people with disabilities, analyze skill requirements, work environment adaptability, and physical limitations, use data modeling technology to build a quantitative model of job environment adaptability, and combine multi-dimensional data analysis results to recommend jobs to users; Dynamic matching and planning module: This module collects real-time information on new skills and interests of people with disabilities, as well as new job postings and job skills from user terminals, recruitment platforms, and industry data sources. It then uses a dynamic matching iterative algorithm to update matching results based on this updated information. It also predicts career development based on industry trends and the learning abilities of people with disabilities, and then pushes this information to users. Feedback and optimization module: Collect feedback from people with disabilities on matching results and planning, and from employment service personnel on system operations through questionnaires and message boards, use statistical analysis to identify problems, and feed the results back to the corresponding modules to adjust algorithms and models.
[0007] Furthermore, the barrier-free front-end interface design in the multi-source data acquisition module adopts high-contrast colors, large font display, voice prompt function and concise and intuitive interactive process.
[0008] Furthermore, the various aspects of information collected in the multi-source data acquisition module are: physical condition: type of disability, degree of disability; skill level: acquisition of professional skill certificates, actual operation ability; career interest: filling in using a standardized interest scale; educational background: academic level, major studied and graduation school.
[0009] Furthermore, the multidimensional data analysis module calculates the potential advantage index Indicates potential advantage, assuming the physical condition data is , skill level data is , career interest data and educational background data are , potential advantage index The calculation formula is: ,in 、 、 、 The coefficients corresponding to physical condition, skill level, career interest, and educational background in specific career fields are in the range of 0-1, and , determined based on analysis of employment cases of people with disabilities.
[0010] Furthermore, the multidimensional data analysis module calculates the potential disadvantage index Indicates potential disadvantages, assuming the physical condition data is , skill level data is , career interest data is , educational background data is , the potential advantage index is , the ideal value of physical condition under industry standards is , the ideal skill level is The ideal value of career interest is , the ideal value of educational background is , the calculation formula is: ,in 、 、 、 is the deviation adjustment coefficient of each dimension from the industry standard value, ranging from 0 to 1, and .
[0011] Furthermore, in the construction of the quantitative model of job environment adaptability in the job model construction module, the workspace requirement score is set as , work time flexibility score is , the business trip frequency score is , the calculation formula is: ,in , , The impact factor of disability type on workspace, work hours, and business trip frequency is determined based on the survey data on the adaptability of disability type to workspace, work hours, and business trip frequency. The business trip frequency score Score based on the travel requirements of the position and work schedule flexibility Scoring is based on whether the work schedule of the position can adapt to the special work and rest needs of people with disabilities, and work space requirements scoring Scoring is based on the size of the job's workspace and whether its layout is accessible to people with disabilities.
[0012] Furthermore, the dynamic matching and planning module recommends the user's most suitable occupation, assuming the comprehensive matching degree is , the potential advantage index is , the potential disadvantage index is , the environmental adaptability is , the comprehensive matching degree calculation formula is: ,in is the preference coefficient, ranging from 0 to 1. The heat coefficient of the occupation field is determined based on the heat factor of the industry's talent demand. , For environmental adaptability, the comprehensive matching degree is selected by calculating the quantitative model of job environment adaptability. The largest posts are recommended to users.
[0013] Furthermore, the dynamic matching and planning module updates the matching results through a dynamic matching iterative algorithm based on the updated information. The matching results for the update are , the ability improvement brought by the new skills of disabled people is , the interest matching correction value after interest transformation is , the job requirement change value caused by new jobs in the market or job skill updates is , the last matching result is , the calculation formula is: ,in 、 、 is the weight coefficient, which represents the importance of new skills, interest changes, job requirements changes, and the combination of industry dynamics and learning ability in updating matching results. The value range is between 0 and 1, and , Indicates the The increase in the matching degree between the user's newly added skills and job requirements during the update, Indicates the interest matching correction value after the interest change. Indicates the matching change value caused by job skill update, It is an industry dynamic influencing factor, which is determined based on the impact of industry development changes on matching results. It is the learning ability coefficient of the disabled, which is determined based on the disabled person's learning speed and knowledge absorption ability.
[0014] Furthermore, the dynamic matching and planning module predicts career development by combining the disability career development pre-evaluation formula with industry dynamics and the learning ability of the disabled, and sets the career development prediction value as , used to predict the career development of people with disabilities, The matching results for the update are , the calculation formula is: ,in The dynamic development rate of the industry is calculated through comprehensive calculation of industry growth data and policy benefits. The dynamic development rate of the industry is calculated comprehensively through industry growth data and policy benefits. The rate at which disabled people improve their learning ability is calculated based on their efficiency in learning new knowledge and skills. is the career development stability coefficient, which is determined based on job stability and industry volatility. is the time correction factor, which is the inverse of the prediction duration. The formula is: .
[0015] Compared with the existing technology, this online career consultation system for people with disabilities has the following beneficial effects: 1. The present invention realizes personalized and dynamic career planning services by constructing a comprehensive and sophisticated online career consulting system for people with disabilities. It uses a multi-source data acquisition module to seamlessly collect multi-dimensional information on the physical condition, skill level, career interests and educational background of people with disabilities, providing a solid foundation for subsequent analysis. The multi-dimensional data analysis module uses advanced algorithm formulas to deeply explore the potential advantages and disadvantages of different occupational fields for people with disabilities, and realizes accurate career matching. It not only improves the scientific nature and accuracy of career planning, but also provides people with disabilities with career choice suggestions that are more in line with their actual situation, which helps to improve their employment competitiveness and quality of life.
[0016] 2. Through in-depth research with partners, the present invention has constructed a quantitative model of job environment adaptability and recommended the most suitable jobs for people with disabilities. The dynamic matching and planning module obtains new information from users and the market in real time, and continuously updates the matching results through a dynamic matching iterative algorithm to ensure the timeliness and effectiveness of career planning. At the same time, the system also combines industry dynamics and the learning ability of people with disabilities, and predicts career development paths through a disability career development pre-assessment formula, providing people with disabilities with long-term and feasible career planning solutions, which not only enhances the practicality and flexibility of the system, but also provides strong support and guarantee for the career development of people with disabilities.
[0017] Other advantages, objects and features of the present invention will be described 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 learned from the practice of the invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.
[0019] Figure 1A flowchart of an online career consultation system for people with disabilities; Figure 2 This is a framework diagram of an online career consultation system for people with disabilities. DETAILED DESCRIPTION
[0020] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.
[0021] Example 1: Career counseling for the hearing-impaired.
[0022] Data collection: Hearing-impaired people log in to the accessible front-end interface of the online career consultation system for people with disabilities. The interface design fully takes their needs into consideration. High-contrast colors make information easier to distinguish, and large fonts ensure clear visibility. Although the voice prompt function cannot be used directly, the simple and intuitive interactive process is guided by eye-catching icons to facilitate their operation. In the physical condition section, the disability type is accurately entered as hearing disability, and the degree of disability is filled in according to the professional assessment. In terms of skill level, the sign language interpretation qualification certificate is uploaded, and a detailed description of one's experience and ability in actual sign language interpretation work is given, such as being able to proficiently translate daily conversations and business meeting content. In terms of career interests, with the help of a standardized interest scale, a strong interest in the field of cultural communication, especially in the direction of sign language cultural promotion, is expressed. In terms of educational background, a bachelor's degree is entered, the major of which is special education, and the graduation school is [specific school name]. The system automatically connects to the education department's student registration system to obtain academic certification information, and at the same time captures training records from relevant training platforms to ensure that the data is comprehensive and accurate.
[0023] Multidimensional data analysis: After receiving the data, the multidimensional data analysis module uses the potential advantage index calculation formula to combine the collected physical condition, skill level, career interest and educational background data to derive the potential advantage index. Suppose the physical condition data is , skill level data is , career interest data and educational background data are , potential advantage index The calculation formula is: ,in 、 、 、 is the coefficient for each occupational field, ranging from 0 to 1, and Based on the analysis of employment cases of people with disabilities, we evaluate their potential advantages in using sign language skills to create and promote content in the field of cultural communication. When exploring potential disadvantages, we set the ideal value of physical condition under industry standards to , the ideal skill level is The ideal value of career interest is , the ideal value of educational background is , calculate the potential disadvantage index according to the formula Represents the potential disadvantage, and the calculation formula is: ,in 、 、 、 is the adjustment coefficient, the value range is 0-1, and .
[0024] Position model construction: The position model construction module cooperates with cultural communication institutions and public welfare organizations to investigate positions suitable for people with hearing impairments, such as sign language cultural publicity specialists, and conducts in-depth analysis of the skill requirements of the position, including proficiency in sign language expression and certain copywriting skills; assesses the adaptability of the work environment, considering whether the office space is convenient for sign language communication and whether the working hours can meet the arrangement of sign language activities; clarifies physical limitations, such as the impact of hearing impairment on information acquisition, and constructs a quantitative model for position environment adaptability, setting the work space requirement score as , work time flexibility score is , the business trip frequency score is , the calculation formula is: ,in , , is the impact factor of disability type on work space, working hours, and business trip frequency. The value is determined by job survey data. The business trip frequency score Score based on the travel requirements of the position and work schedule flexibility Scoring based on whether the job's working hours can adapt to the special work and rest needs of people with disabilities, and work space requirements According to the size of the workspace and whether the layout is convenient for disabled people to pass through, the environmental adaptability is calculated. At the same time, the position is recommended to the user based on the results of multi-dimensional data analysis. The comprehensive matching degree is set as , the potential advantage index is , the potential disadvantage index is , the environmental adaptability is , the comprehensive matching degree calculation formula is: ,in is the preference coefficient, ranging from 0 to 1. The heat coefficient of the occupation field is determined based on the heat factor of the industry's talent demand. , For environmental adaptability, the comprehensive matching degree is selected by calculating the quantitative model of job environment adaptability. The largest job recommendation is given to users, and the position of sign language cultural publicity specialist is comprehensively recommended.
[0025] Dynamic matching and planning: The dynamic matching and planning module obtains various types of information in real time. If the hearing-impaired participate in new media operation training, the ability improvement value brought by the new skills is For example, they have mastered the skills of short video production. With a deeper understanding of the industry, their interest has changed from simple sign language cultural promotion to cultural communication through new media. The interest matching correction value is ; The requirements for new media skills for publicity specialist positions in the market have increased, and the change in job requirements is ; Use the dynamic matching iteration formula to update the matching work. The calculation formula is: ,in 、 、 is the weight coefficient, which represents the importance of new skills, interest changes, job requirements changes, and the combination of industry dynamics and learning ability in updating matching results. The value range is between 0 and 1, and , Indicates the The increase in the matching degree between the user's newly added skills and job requirements during the update, Indicates the interest matching correction value after the interest change. Indicates the matching change value caused by job skill update, It is an industry dynamic influencing factor, which is determined based on the impact of industry development changes on matching results. The learning ability coefficient of the disabled is determined according to the learning speed and knowledge absorption ability of the disabled. The career development is predicted based on the disability career development pre-evaluation formula combined with industry dynamics and the learning ability of the disabled. The career development prediction value is set to , used to predict the career development of people with disabilities, The matching results for the update are , the calculation formula is: ,in The dynamic development rate of the industry is calculated through comprehensive calculation of industry growth data and policy benefits. The dynamic development rate of the industry is calculated comprehensively through industry growth data and policy benefits. The rate at which disabled people improve their learning ability is calculated based on their efficiency in learning new knowledge and skills. is the career development stability coefficient, is the time correction factor , is the reciprocal of the forecast duration in years, and the formula is: , and is expected to become the project leader of sign language culture communication in the next few years.
[0026] Feedback and optimization: The system collects feedback from hearing-impaired people on matching results and plans through questionnaires and message boards. For example, they think the salary and benefits of the recommended positions do not meet their expectations, and the work intensity is too high to adapt. At the same time, it collects feedback from employment service personnel on system operations, such as the problem of cumbersome data entry process, uses statistical analysis to deeply explore the problems, and feeds back the problems to the corresponding modules. For example, for salary issues, the job recommendation algorithm is adjusted and the weight of salary factors is increased. For operational problems, the interactive design of the data collection module is optimized to improve the overall service quality of the system.
[0027] In summary, the system provides comprehensive, accurate and dynamic career counseling services for the hearing-impaired. The multi-source data acquisition module collects data on their physical condition, skills, interests and educational background. The multi-dimensional data analysis module explores advantages and disadvantages. The job model construction module recommends suitable positions, such as sign language cultural publicity specialists. The dynamic matching and planning module can adjust the matching results in real time according to various changes and predict career development. The feedback and optimization module continuously improves the system. The whole process forms a closed loop, which effectively helps the hearing-impaired find a career direction that suits them, improve their employment competitiveness, and lay a solid foundation for them to integrate into society and realize their personal value.
[0028] Example 2: Career counseling for people with (mild) intellectual disabilities.
[0029] Data collection: With the assistance of their family members or employment service personnel, people with intellectual disabilities (mild) enter data through the accessible front-end interface of the consultation system. The interface is simple and easy to understand, using graphical guidance and simple text descriptions. In terms of their physical condition, they accurately fill in the disability type as intellectual disability and the degree of disability as mild. In terms of skill level, they display the simple hand-made skill certificate obtained in vocational training and describe their proficiency and completion quality in the process of making handicrafts. In terms of professional interests, they express their interest in the field of cultural and creative product production through a simple picture selection method. In terms of educational background, they enter high school diploma and the graduation school as [specific school name]. The system simultaneously obtains academic certification information from the education department's student registration system and training records from the training platform to ensure data integrity.
[0030] Multidimensional Data Analysis: The multidimensional data analysis module analyzes the field of cultural and creative product production. Using the potential advantage index calculation formula, combined with the input data, it evaluates the potential advantages of manual skills and interest in cultural and creative product production. The calculation formula is: , calculate the potential disadvantage index based on the ideal values of various data under industry standards Indicates potential disadvantages, assuming that the ideal value of physical condition under industry standards is , the ideal skill level is The ideal value of career interest is , the ideal value of educational background is , the calculation formula is: , calculating the potential disadvantages in complex design and innovative thinking due to intellectual disability.
[0031] Job model construction: The job model construction module cooperates with cultural and creative enterprises and handicraft studios to investigate jobs suitable for people with intellectual disabilities (mild), such as simple cultural and creative product assemblers, and analyzes job skill requirements in detail, such as being able to understand simple assembly drawings and skillfully complete parts splicing; assesses work environment adaptability, including whether the workspace is spacious and easy to operate, and whether the working hours are regular and conducive to adaptation; clarifies physical limitations, considers the impact of intellectual disabilities on work efficiency and comprehension ability, and constructs a quantitative model for job environment adaptability, setting the workspace requirement score as , work time flexibility score is , the business trip frequency score is , the calculation formula is: , calculate the environmental adaptability based on the model, and recommend positions to users based on the multi-dimensional data analysis results. Let the comprehensive matching degree be , the potential advantage index is , the potential disadvantage index is , the environmental adaptability is , the comprehensive matching degree calculation formula is: , select the comprehensive matching degree The largest job is recommended to users, and simple cultural and creative product assembler jobs are comprehensively recommended.
[0032] Dynamic matching and planning: The dynamic matching and planning module tracks information in real time. If a person with intellectual disability (mild) participates in more advanced hand-made skills training, the ability improvement value brought by the new skills is ; With participation in cultural and creative activities, people become interested in product design, and the interest matching correction value is ; The new assembly process is introduced into the cultural and creative product assembly position in the market, and the position requirement change value is ; The development trend of the cultural and creative industry is positive, and the industry dynamic impact factor is , the learning ability of the intellectually disabled person is stable, and the learning ability coefficient is , use the dynamic matching iteration formula to update the matching results, the calculation formula is: According to the disability career development pre-evaluation formula, combined with industry dynamics and the learning ability of people with disabilities, career development is predicted. The career development prediction value is set to , used to predict the career development of people with disabilities, The matching results for the update are , the calculation formula is: , predict their career development in this position, such as possible promotion to assembly team leader in the future.
[0033] Feedback and optimization: The system collects feedback from people with mild intellectual disabilities, their families, and employment service personnel through questionnaires and message boards. For example, feedback indicates that assembly tasks are occasionally too difficult to complete. The system's operating procedures are still not simple enough in some areas. Statistical analysis is used to sort out these issues and feedback is provided to the corresponding modules. Based on the difficulty of the tasks, the job recommendation model is adjusted to select jobs that better match their abilities. In response to operational issues, the interaction process of the data collection module is further simplified, and system services are continuously optimized.
[0034] In summary, the online career consultation system for people with disabilities has achieved remarkable results in serving people with intellectual disabilities (mild). The multi-source data collection module accurately obtains key information, the multi-dimensional data analysis module clarifies their career advantages and disadvantages, the job model construction module recommends simple cultural and creative product assembler positions, the dynamic matching and planning module timely updates matching results and predicts career development based on skill improvement and interest changes, and the feedback and optimization module optimizes the system based on feedback from all parties. This series of processes helps people with intellectual disabilities (mild) to clearly understand themselves, obtain career guidance that suits their abilities and interests, promote their career development, better adapt to society and create value.
[0035] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as above in terms of a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can, without departing from the scope of the technical solution of the present invention, make some changes or modifications to equivalent embodiments using the technical contents disclosed above. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.
Claims
1. An online career consulting system for people with disabilities, characterized by: The system includes: Multi-source data collection module: This module uses an accessible front-end interface to guide people with disabilities to enter data on their physical condition, skill level, career interests, and educational background. It also connects to the education department's student registration system and training platform to obtain academic certification and training record data, and transmits the data to the multi-dimensional data analysis module. Multidimensional Data Analysis Module: Receives data transmitted by the Multi-Source Data Acquisition Module and uses algorithms to mine potential strengths and weaknesses in different career fields based on physical condition, skills, interests, and educational background data; Job model building module: Collaborate with businesses, disabled persons' federations, and industry associations to research suitable jobs for people with disabilities, analyze skill requirements, work environment adaptability, and physical limitations, use data modeling technology to build a quantitative model of job environment adaptability, and combine multi-dimensional data analysis results to recommend jobs to users; Dynamic matching and planning module: This module collects real-time information on new skills and interests of people with disabilities, as well as new job postings and job skills from user terminals, recruitment platforms, and industry data sources. It then uses a dynamic matching iterative algorithm to update matching results based on this updated information. It also predicts career development based on industry trends and the learning abilities of people with disabilities, and then pushes this information to users. Feedback and optimization module: Collect feedback from people with disabilities on matching results and planning, and from employment service personnel on system operations through questionnaires and message boards, use statistical analysis to identify problems, and feed the results back to the corresponding modules to adjust algorithms and models.
2. The online career consulting system for people with disabilities according to claim 1 is characterized in that: The barrier-free front-end interface design in the multi-source data acquisition module adopts high-contrast colors, large font display, voice prompt function and simple and intuitive interactive process.
3. The online career consulting system for people with disabilities according to claim 1 is characterized in that: The various aspects of information collected in the multi-source data acquisition module are: physical condition: type of disability, degree of disability; skill level: acquisition of professional skill certificates, actual operation ability; career interests: filling out using a standardized interest scale; educational background: academic level, major studied and graduation school.
4. The online career consulting system for people with disabilities according to claim 1 is characterized in that: The multidimensional data analysis module calculates the potential advantage index Indicates potential advantage, assuming the physical condition data is , skill level data is , career interest data and educational background data are , potential advantage index The calculation formula is: ,in 、 、 、 The coefficients corresponding to physical condition, skill level, career interest, and educational background in specific career fields are in the range of 0-1, and , determined based on analysis of employment cases of people with disabilities.
5. The online career consulting system for people with disabilities according to claim 4 is characterized in that: The multidimensional data analysis module calculates the potential disadvantage index Indicates potential disadvantages, assuming the physical condition data is , skill level data is , career interest data is , educational background data is , the potential advantage index is , the ideal value of physical condition under industry standards is , the ideal skill level is The ideal value of career interest is , the ideal value of educational background is , the calculation formula is: ,in 、 、 、 is the deviation adjustment coefficient of each dimension from the industry standard value, ranging from 0 to 1, and .
6. The online career consulting system for people with disabilities according to claim 5 is characterized in that: The construction of the quantitative model of job environment adaptability in the job model construction module is as follows: , work time flexibility score is , the business trip frequency score is , the calculation formula is: ,in , , The impact factor of disability type on workspace, work hours, and business trip frequency is determined based on the survey data on the adaptability of disability type to workspace, work hours, and business trip frequency. The business trip frequency score Score based on the travel requirements of the position and work schedule flexibility Scoring is based on whether the work schedule of the position can adapt to the special work and rest needs of people with disabilities, and work space requirements scoring Scoring is based on the size of the job's workspace and whether its layout is accessible to people with disabilities.
7. The online career consulting system for people with disabilities according to claim 6 is characterized in that: The dynamic matching and planning module recommends the user's most suitable occupation. Let the comprehensive matching degree be , the potential advantage index is , the potential disadvantage index is , the environmental adaptability is , the comprehensive matching degree calculation formula is: ,in is the preference coefficient, ranging from 0 to 1. The heat coefficient of the occupation field is determined based on the heat factor of the industry's talent demand. , For environmental adaptability, the comprehensive matching degree is selected by calculating the quantitative model of job environment adaptability. The largest posts are recommended to users.
8. The online career consulting system for people with disabilities according to claim 1 is characterized in that: The dynamic matching and planning module updates the matching results through a dynamic matching iterative algorithm based on the updated information. The matching results for the update are , the ability improvement brought by the new skills of disabled people is , the interest matching correction value after interest transformation is , the job requirement change value caused by new jobs in the market or job skill updates is , the last matching result is , the calculation formula is: ,in 、 、 is the weight coefficient, which represents the importance of new skills, interest changes, job requirements changes, and the combination of industry dynamics and learning ability in updating matching results. The value range is between 0 and 1, and , Indicates the The increase in the matching degree between the user's newly added skills and job requirements during the update, Indicates the interest matching correction value after the interest change. Indicates the matching change value caused by job skill update, It is an industry dynamic influencing factor, which is determined based on the impact of industry development changes on matching results. It is the learning ability coefficient of the disabled, which is determined based on the disabled person's learning speed and knowledge absorption ability.
9. The online career consulting system for people with disabilities according to claim 8, characterized in that: In the dynamic matching and planning module, the career development prediction formula of the disabled is combined with industry dynamics and the learning ability of the disabled to predict career development. The career development prediction value is , used to predict the career development of people with disabilities, The matching results for the update are , the calculation formula is: ,in The dynamic development rate of the industry is calculated through comprehensive calculation of industry growth data and policy benefits. The dynamic development rate of the industry is calculated comprehensively through industry growth data and policy benefits. The rate at which disabled people improve their learning ability is calculated based on their efficiency in learning new knowledge and skills. is the career development stability coefficient, which is determined based on job stability and industry volatility. is the time correction factor, which is the inverse of the prediction duration. The formula is: .