Intelligent dynamic monitoring and evaluation method and system for employment information

Abstract

The invention provides an intelligent dynamic monitoring and evaluation method and system for employment information, and relates to the technical field of dynamic monitoring and evaluation, and the method comprises the steps: obtaining employee information and enterprise post information, carrying out the corresponding matching of the employee information and the enterprise post information, obtaining the matching information, and carrying out the dynamic monitoring of the matching information, obtaining a longitudinal monitoring index and a transverse monitoring index according to the obtained employment dynamic monitoring information, dividing index monitoring blocks, determining monitoring points, obtaining monitoring information of each monitoring point, carrying out employment feature judgment, and obtaining an employment feature judgment result; calculating a personnel employment stability coefficient and a post employment stability coefficient, and further performing comprehensive judgment; according to the method, the employment stability coefficient and the post employment stability coefficient are updated, the employment information evaluation data are obtained according to the updated data, and then the evaluation result is obtained, the stability and the development trend of the employment market can be comprehensively evaluated, and the comprehensiveness, the evaluation efficiency and the accuracy of employment evaluation are greatly improved.

Description

Technical Field

[0001] The present invention proposes a method and system for intelligent dynamic monitoring and evaluation of employment information, which relates to the technical field of dynamic monitoring and evaluation, and specifically to the technical field of intelligent dynamic monitoring and evaluation of employment information. Background Art

[0002] In the current job market, with the rapid development of the economy and the continuous adjustment of the industrial structure, the matching mobility between employees and corporate positions has increased. The traditional employment service model often has problems such as information asymmetry, large changes, and difficulty in statistics and analysis of data, which makes it difficult to dynamically monitor the job market and affects the additional testing and evaluation of the job market. Summary of the invention

[0003] The present invention provides an intelligent dynamic monitoring and evaluation method and system for employment information, which is used to solve the problems that the traditional employment service model often has information asymmetry, large changes, and data is difficult to count and analyze, which makes it difficult to dynamically monitor the employment market and affects the additional testing and evaluation of the employment market.

[0004] The present invention proposes a method and system for intelligent dynamic monitoring and evaluation of employment information, the method comprising:

[0005] S1. Obtaining information on employed personnel and information on enterprise positions, matching the information on employed personnel and the information on enterprise positions to obtain matching information, dynamically monitoring the matching information, and obtaining dynamic employment monitoring information;

[0006] S2. Obtaining longitudinal monitoring indicators and transverse monitoring indicators based on employment dynamic monitoring information, dividing indicator monitoring blocks, determining monitoring points, obtaining monitoring information of each monitoring point, determining employment characteristics, and obtaining employment characteristics determination results;

[0007] S3. Calculate the employment stability coefficient of personnel and the employment stability coefficient of positions according to the employment characteristic determination information, and then make comprehensive determinations of personnel and positions, and record and store the determination information;

[0008] S4. Update the employment stability coefficient of personnel and the employment stability coefficient of positions according to the preset evaluation cycle, obtain employment information evaluation data based on the updated data, and then obtain the evaluation results.

[0009] Furthermore, the S1 includes:

[0010] Obtaining employment information of employed persons, splitting the employment information according to preset industry categories, and obtaining industry employment information;

[0011] Split industry employment information according to preset job types to obtain job employment information;

[0012] Matching job positions and employees according to the job employment information to obtain matching information;

[0013] Acquire dynamic variable information of matching information, and determine idle employed personnel information and idle job information according to the dynamic variable information;

[0014] The information on idle employees and idle positions is employment dynamics monitoring information.

[0015] Further, the S2 includes:

[0016] Divide the employment dynamic monitoring information according to preset monitoring target dimensions to obtain horizontal monitoring indicators and vertical monitoring indicators;

[0017] Divide the indicator monitoring blocks according to the horizontal monitoring indicators and the vertical monitoring indicators, and determine each indicator monitoring block as a monitoring point;

[0018] Acquire monitoring information of each monitoring point, determine employment characteristics of each monitoring point according to the monitoring information of each monitoring point, and obtain employment characteristics determination results;

[0019] The employment characteristics determination includes personnel characteristics determination and position characteristics determination.

[0020] Further, the S3 includes:

[0021] Obtaining personnel characteristic determination information of the same employed person, calculating the employment stability coefficient of the person according to the personnel characteristic determination information, making a comprehensive determination of the employed person according to the employment stability coefficient of the person, and obtaining comprehensive determination information of the person;

[0022] Obtaining job characteristic determination information of the same job, calculating a job employment stability coefficient based on the job characteristic determination information, performing a job comprehensive determination on the job based on the job employment stability coefficient, and obtaining job comprehensive determination information;

[0023] Visually record and store comprehensive personnel and position judgment information.

[0024] Further, the S4 includes:

[0025] According to a preset evaluation cycle, the employment stability coefficient of the personnel and the employment stability coefficient of the post are updated (recalculated) according to the preset evaluation cycle to obtain updated employment stability coefficient of the personnel and the employment stability coefficient of the post;

[0026] Obtaining the average of the employment stability coefficient of the personnel and the employment stability coefficient of the post, making a stability determination on the employment information according to the average, and obtaining the employment information evaluation data;

[0027] The employment information is evaluated according to the employment information evaluation data to obtain an evaluation result.

[0028] Furthermore, the system comprises:

[0029] An information dynamic monitoring module is used to obtain employment information and enterprise position information, perform corresponding matching between the employment information and enterprise position information, obtain matching information, dynamically monitor the matching information, and obtain employment dynamic monitoring information;

[0030] An employment characteristics determination module is used to obtain longitudinal monitoring indicators and horizontal monitoring indicators based on employment dynamic monitoring information, divide indicator monitoring blocks, determine monitoring points, obtain monitoring information of each monitoring point, perform employment characteristics determination, and obtain employment characteristics determination results;

[0031] The stability coefficient calculation module is used to calculate the employment stability coefficient of personnel and the employment stability coefficient of positions according to the employment characteristic determination information, and then make comprehensive determinations of personnel and positions, and record and store the determination information;

[0032] The comprehensive employment assessment module is used to update the employment stability coefficient of personnel and the employment stability coefficient of positions according to the preset assessment cycle, obtain employment information assessment data based on the updated data, and then obtain the assessment results.

[0033] Furthermore, the information dynamic monitoring module includes:

[0034] An information splitting module is used to obtain employment information of employed persons, split the employment information according to preset industry categories, and obtain industry employment information;

[0035] Split industry employment information according to preset job types to obtain job employment information;

[0036] A matching dynamic monitoring module is used to match job positions and employees according to the job employment information to obtain matching information;

[0037] Acquire dynamic variable information of matching information, and determine idle employed personnel information and idle job information according to the dynamic variable information;

[0038] The information on idle employees and idle positions is employment dynamics monitoring information.

[0039] Furthermore, the employment characteristics determination module includes:

[0040] An indicator division module is used to divide the employment dynamic monitoring information according to preset monitoring target dimensions to obtain horizontal monitoring indicators and vertical monitoring indicators;

[0041] A monitoring point determination module, used to divide the indicator monitoring blocks according to the horizontal monitoring indicators and the vertical monitoring indicators, and determine each indicator monitoring block as a monitoring point;

[0042] A feature determination module is used to obtain monitoring information of each monitoring point, determine the employment features of each monitoring point according to the monitoring information of each monitoring point, and obtain the employment feature determination result;

[0043] The employment characteristics determination includes personnel characteristics determination and position characteristics determination.

[0044] Furthermore, the stability coefficient calculation module includes:

[0045] A personnel determination module is used to obtain personnel characteristic determination information of the same employed person, calculate the employment stability coefficient of the person according to the personnel characteristic determination information, make a comprehensive personnel determination on the employed person according to the employment stability coefficient of the person, and obtain the comprehensive personnel determination information;

[0046] A job determination module is used to obtain job feature determination information of the same job, calculate the job employment stability coefficient according to the job feature determination information, perform a comprehensive job determination on the job according to the job employment stability coefficient, and obtain comprehensive job determination information;

[0047] The storage and recording module is used to visually record and store personnel comprehensive judgment information and position comprehensive judgment information.

[0048] Furthermore, the comprehensive employment assessment module includes:

[0049] A coefficient updating module, used to update (recalculate) the personnel employment stability coefficient and the job employment stability coefficient according to a preset evaluation cycle, and obtain updated personnel employment stability coefficient and job employment stability coefficient;

[0050] A comprehensive evaluation module is used to obtain the average of the employment stability coefficient of personnel and the employment stability coefficient of positions, and to make a stability judgment on the employment information according to the average to obtain the employment information evaluation data;

[0051] The employment information is evaluated according to the employment information evaluation data to obtain an evaluation result.

[0052] Beneficial effects of the present invention: Through intelligent matching, the system can quickly and accurately find potential matches for employed persons and corporate positions, reduce information asymmetry, and improve employment matching efficiency. Dynamic monitoring and real-time data analysis make changes in the employment market more transparent, which helps policy makers, enterprises and employed persons to better grasp market dynamics and make scientific and reasonable decisions. Through employment characteristic determination and stability assessment, the system can help enterprises and employed persons better understand their position and competitiveness in the market, thereby optimizing human resource allocation and promoting the rational flow and efficient use of human resources. The employment information evaluation data generated by the system provides strong support for the government to formulate and adjust employment policies, and helps to achieve more accurate and effective policy intervention. Through continuous monitoring and evaluation, the system can promptly discover and resolve problems and contradictions in the employment market, and promote the stable development of the employment market and social harmony. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic diagram of an intelligent dynamic monitoring and evaluation method for employment information;

[0054] Figure 2 This is a schematic diagram of indicator monitoring. DETAILED DESCRIPTION

[0055] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0056] In one embodiment of the present invention, a method and system for intelligent dynamic monitoring and evaluation of employment information is proposed by the present invention, and the method comprises:

[0057] S1. Obtaining information on employed personnel and information on enterprise positions, matching the information on employed personnel and the information on enterprise positions to obtain matching information, dynamically monitoring the matching information, and obtaining dynamic employment monitoring information;

[0058] S2. Obtaining longitudinal monitoring indicators and transverse monitoring indicators based on employment dynamic monitoring information, dividing indicator monitoring blocks, determining monitoring points, obtaining monitoring information of each monitoring point, determining employment characteristics, and obtaining employment characteristics determination results;

[0059] S3. Calculate the employment stability coefficient of personnel and the employment stability coefficient of positions according to the employment characteristic determination information, and then make comprehensive determinations of personnel and positions, and record and store the determination information;

[0060] S4. Update the employment stability coefficient of personnel and the employment stability coefficient of positions according to the preset evaluation cycle, obtain employment information evaluation data based on the updated data, and then obtain the evaluation results, such as Figure 1 shown.

[0061] The working principle of the above technical solution is as follows: the system first collects information on employed personnel and enterprise positions through various channels (such as enterprise HR systems, public employment service platforms, social media, etc.). This information includes but is not limited to the basic personal information, work experience, skills and expertise of employed personnel, as well as the demand description, salary and benefits, and job requirements of enterprise positions. Subsequently, the system uses advanced algorithms to intelligently match these two types of information to find potential matching pairs, that is, possible employment opportunities. Once the matching is completed, the system begins to continuously and dynamically monitor the matching information. This includes monitoring changes in the employment status of employed personnel (such as resignation, job hopping, promotion, etc.) and updates to the status of enterprise positions (such as recruitment status, job demand adjustments, etc.). Through real-time or regular data capture and analysis, the system can generate employment dynamic monitoring information to reflect real-time changes in the employment market. Based on dynamic monitoring information, the system constructs an evaluation system including vertical monitoring indicators (such as employment duration, salary change trends, etc.) and horizontal monitoring indicators (such as industry employment rate, job turnover rate, etc.). These indicators are divided into different monitoring blocks, and specific monitoring points are set in each monitoring block. By obtaining specific data from each monitoring point, in-depth judgment of employment characteristics is carried out. The system uses machine learning or statistical models to conduct in-depth analysis of monitoring data to identify the employment stability of employed personnel and the stability characteristics of enterprise positions. By calculating the employment stability coefficient of personnel and the employment stability coefficient of positions, the system can quantitatively evaluate the career development of employed personnel and the attractiveness of positions. Combining the employment stability coefficient of personnel and the employment stability coefficient of positions, the system conducts comprehensive judgments on personnel and positions to evaluate their future development trends and potential. All judgment information is recorded and stored by the system to provide support for subsequent analysis and decision-making. The system regularly updates the employment stability coefficient of personnel and the employment stability coefficient of positions according to the preset evaluation cycle (such as monthly, quarterly, annual, etc.). By comparing historical data with current data, the system can generate employment information evaluation data and further obtain evaluation results on the changing trends of the employment market.

[0062] The technical effect of the above technical solution is: through intelligent matching, the system can quickly and accurately find potential matching objects for employed persons and enterprise positions, reduce information asymmetry, and improve employment matching efficiency. Dynamic monitoring and real-time data analysis make changes in the employment market more transparent, which helps policymakers, enterprises and employed persons to better grasp market dynamics and make scientific and reasonable decisions. Through employment characteristics determination and stability assessment, the system can help enterprises and employed persons better understand their position and competitiveness in the market, thereby optimizing human resource allocation and promoting the rational flow and efficient use of human resources. The employment information evaluation data generated by the system provides strong support for the government to formulate and adjust employment policies, and helps to achieve more accurate and effective policy intervention. Through continuous monitoring and evaluation, the system can promptly discover and solve problems and contradictions in the employment market, and promote the stable development of the employment market and social harmony.

[0063] In one embodiment of the present invention, the S1 includes:

[0064] Obtaining employment information of employed persons, dividing the employment information according to preset industry categories, and obtaining industry employment information; the employment information includes information of employed persons and information of job positions;

[0065] Split industry employment information according to preset job types to obtain job employment information;

[0066] Matching job positions and employees according to the job employment information to obtain matching information;

[0067] Acquire dynamic variable information of matching information, and determine idle employed personnel information and idle post information according to the dynamic variable information; (idle employed personnel are those without staff after resignation, and idle posts are those without staff after resignation of employed personnel), and the dynamic variable information includes whether employed personnel have employment posts, and whether employment posts have employed personnel;

[0068] The information on idle employees and idle positions is employment dynamics monitoring information.

[0069] The working principle of the above technical solution is as follows: the system first collects employment information of employees through various channels (such as enterprise HR systems, public employment service platforms, recruitment websites, etc.). This information usually includes basic information of employees (such as name, age, education, skills, etc.) and their current or past job information (such as job title, industry, salary, job requirements, etc.). The system splits the collected employment information according to the preset industry categories. These industry categories can be based on national standards, market divisions or system customization. Through industry splitting, the system can generate a summary of employment information in various industries to provide basic data for subsequent analysis. On the basis of industry splitting, the system further splits the industry employment information in more detail according to the preset job categories. Job categories can be divided according to factors such as job nature, skill requirements, and scope of responsibilities. Through job splitting, the system can obtain employment information of specific jobs, including the number of employees in the job, personnel structure, job requirements, etc. The system uses algorithms to match job employment information with employees. The matching process takes into account factors such as job requirements and the ability, experience, and willingness of employees. After the match is successful, the system generates matching information to record which employees are assigned to which positions. The system continuously monitors the dynamic variables of the matching information, which mainly reflect the status changes between employees and jobs. The key dynamic variables include whether the employees have jobs (i.e., whether they are employed) and whether the jobs have employees (i.e., whether the jobs are vacant). By monitoring these variables, the system can promptly discover idle employees and idle positions in the job market. Based on the dynamic variable information, the system identifies employees who have no work arrangements after leaving their jobs as idle employees and records the information of these people. At the same time, the system also identifies jobs that have no successors after the employees leave their jobs as idle positions and records the relevant information. The system aggregates the information of idle employees and idle positions into employment dynamic monitoring information. This information is of great significance for understanding the real-time status of the job market, predicting employment trends, and formulating employment policies.

[0070] The technical effect of the above technical solution is: through real-time monitoring and dynamic analysis, the system can accurately reflect the real situation of the employment market, including the number, distribution and changing trend of idle employees and idle positions, thereby improving the transparency of the employment market. The system can timely discover and identify idle employment resources and job resources, provide effective information support for the government, enterprises and employees, and promote the rational allocation and flow of human resources. Based on the employment dynamic monitoring information, the government can more accurately formulate and adjust employment policies, such as providing vocational training, entrepreneurship support, job subsidies, etc., to alleviate employment pressure and promote the stability and development of the employment market. For employment service agencies and enterprises, the employment dynamic monitoring information provided by the system helps them better understand market demand and changing trends, thereby providing more accurate and personalized employment services and improving service quality and efficiency. Through real-time monitoring and early warning mechanisms, the system can timely discover and respond to potential problems and risks in the employment market, such as industry recession, job loss, etc., thereby promoting the stable development of the employment market and social harmony.

[0071] In one embodiment of the present invention, S2 includes:

[0072] The employment dynamic monitoring information is divided according to the preset monitoring target dimension to obtain horizontal monitoring indicators and vertical monitoring indicators; the preset monitoring target dimension includes horizontal dimension and vertical dimension. The horizontal monitoring indicator is the information of employed persons, and the vertical monitoring indicator is the information of employment positions;

[0073] Divide the indicator monitoring blocks according to the horizontal monitoring indicators and the vertical monitoring indicators, and determine each indicator monitoring block as a monitoring point; Figure 2 As shown. Each indicator monitoring block is the matching information of the job position and the employed person, and the monitoring point monitors the dynamic variable information of the matching information. When dynamic variable information exists, a new indicator monitoring block is generated according to the dynamic variable information, and the new indicator monitoring block includes a new matching relationship corresponding to the dynamic variable information.

[0074] Acquire monitoring information of each monitoring point, determine employment characteristics of each monitoring point according to the monitoring information of each monitoring point, and obtain employment characteristics determination results;

[0075] The employment characteristics determination includes personnel characteristics determination and position characteristics determination.

[0076] The personnel characteristic determination includes the personnel employment information (employed or unemployed) of the indicator monitoring block, and the position characteristic determination includes the position employment information (position vacant or not vacant) of the indicator monitoring block.

[0077] The working principle of the above technical solution is as follows: the system first divides the employment dynamic monitoring information according to the preset monitoring target dimensions. These dimensions usually include horizontal dimensions (such as information on employed persons) and vertical dimensions (such as information on job positions). Through the division, the system can clarify the focus and direction of monitoring and provide guidance for subsequent indicator construction and monitoring. On the basis of the division of monitoring target dimensions, the system constructs horizontal monitoring indicators and vertical monitoring indicators. Horizontal monitoring indicators mainly focus on the information of employed persons, such as employment status, skill level, work experience, etc.; vertical monitoring indicators focus on the information of job positions, such as job requirements, salary benefits, work requirements, etc. These indicators together constitute the basis of the monitoring system. The system further divides the indicator monitoring blocks according to horizontal monitoring indicators and vertical monitoring indicators. Each indicator monitoring block represents a specific monitoring object, that is, the matching information of job positions and employed persons. Each monitoring block is determined as a monitoring point, which is used to monitor the dynamic variable information of matching information, such as changes in employment status, adjustments to job requirements, etc. The system continuously monitors the dynamic variable information of each monitoring point. When dynamic variable information is monitored (such as the resignation of employed persons, the release of new positions, etc.), the system will generate a new indicator monitoring block based on this information. The new monitoring block contains new matching relationships corresponding to dynamic variable information, thus ensuring the real-time and accuracy of monitoring. The system determines the employment characteristics of each monitoring point based on the monitoring information of each monitoring point. The determination process includes personnel characteristics determination and job characteristics determination. Personnel characteristics determination focuses on the employment status, skill level and other aspects of employed personnel; job characteristics determination focuses on job vacancies, salary and benefits and other aspects. Through determination, the system can obtain in-depth understanding of the employment market and the characteristics of employed personnel.

[0078] The technical effect of the above technical solution is: by presetting the monitoring target dimensions and constructing horizontal and vertical monitoring indicators, the system can monitor the dynamic changes of the employment market more accurately. This precise monitoring helps to discover potential problems and trends, and provides strong support for policy making and employment services. The system can monitor the dynamic variable information of each monitoring point in real time, and immediately generate a new indicator monitoring block when changes are detected. This real-time monitoring mechanism ensures the timeliness and accuracy of the data, and helps to respond to emergencies in the employment market in a timely manner. Through employment feature determination, the system can deeply understand the characteristics and needs of employed people and jobs. This helps to provide more personalized employment guidance and recommendation services for employed people, and improve the quality and efficiency of employment services; based on accurate monitoring and in-depth feature determination results, the government can formulate and adjust employment policies more scientifically. These policies can target problems and needs in the employment market more accurately, thereby exerting greater policy effects. Through continuous monitoring and feature determination, the system can timely discover and respond to potential risks and challenges in the employment market.

[0079] In one embodiment of the present invention, S3 includes:

[0080] Obtaining personnel characteristic determination information of the same employed person, calculating the employment stability coefficient of the person according to the personnel characteristic determination information, making a comprehensive determination of the employed person according to the employment stability coefficient of the person, and obtaining comprehensive determination information of the person;

[0081] The calculation formula for the employment stability coefficient of the personnel is:

[0082]

[0083] Among them, W ry is the employment stability coefficient, y is the employment times of employed persons, S i is the employment duration of the employed person in the i-th employment, G t is the maximum number of times an employee has worked in the same position, z is the number of times an employee has left his or her job, S l is the length of time the employed person has left the job for the first time (length of time not employed), G b It is the total number of times employed persons are employed in different positions.

[0084] Obtaining job characteristic determination information of the same job, calculating a job employment stability coefficient based on the job characteristic determination information, performing a job comprehensive determination on the job based on the job employment stability coefficient, and obtaining job comprehensive determination information;

[0085] The calculation formula of the job employment stability coefficient is:

[0086]

[0087] Among them, W ge is the employment stability coefficient, u is the number of employees in the position, S g is the employment duration of the g-th employee, S wc B is the time when there are no employed persons in the position. c is the number of job changes, Z c is the total number of employed persons in the post. When the data is 0, set it to 1.

[0088] Visually record and store comprehensive personnel and position judgment information.

[0089] The working principle of the above technical solution is as follows: the system first collects characteristic determination information of the same employed person at different time points. The system uses this data to calculate the employment stability coefficient of the employed person. This coefficient reflects the employment stability and career development sustainability of the employed person within a certain period of time. After the calculation is completed, the system makes a comprehensive judgment on the employed person based on the employment stability coefficient and evaluates his stability and development potential in the workplace. The system collects characteristic determination information of the same position at different time points, which may include job vacancy rate, recruitment cycle, job demand changes, salary level, etc. Using this data, the system calculates the job employment stability coefficient, which reflects the stability and attractiveness of the position. Based on the job employment stability coefficient, the system makes a comprehensive judgment on the position and evaluates its competitiveness in the employment market and its long-term development potential. In order to facilitate access and analysis, the system visualizes the comprehensive determination information of the personnel and the comprehensive determination information of the position. This may include generating charts, reports or dashboards to intuitively display the judgment results and key indicators.

[0090] The technical effect of the above technical solution is that by comprehensively considering the characteristic judgment information of multiple dimensions, the system can more accurately calculate the employment stability coefficient of personnel and the employment stability coefficient of positions, thereby improving the accuracy of the comprehensive judgment of employed personnel and positions. i or G t When is relatively large, the personnel stability coefficient is relatively large.

[0091] Comprehensive personnel and post determination information provide valuable references for governments, enterprises and individuals. The government can formulate more accurate employment policies based on this; enterprises can optimize human resource allocation and recruitment strategies; individuals can better plan their career development paths. Through visual records, the system makes complex determination information and data intuitive and easy to understand. This not only improves the efficiency of data use, but also enhances the readability and dissemination of data, allowing more people to benefit from it. Storing comprehensive personnel and post determination information in a unified database helps to achieve information sharing and exchange. This helps to break information silos and promote collaboration between different departments and institutions; based on accurate comprehensive determination information, the system can guide the optimal allocation of resources. For example, the government can provide more training and employment assistance to groups with low employment stability; enterprises can adjust and optimize departments with poor job stability.

[0092] In one embodiment of the present invention, the S4 includes:

[0093] According to a preset evaluation cycle, the employment stability coefficient of the personnel and the employment stability coefficient of the post are updated (recalculated) according to the preset evaluation cycle to obtain updated employment stability coefficient of the personnel and the employment stability coefficient of the post;

[0094] Obtain the mean of the personnel employment stability coefficient and the position employment stability coefficient, make a stability judgment on the employment information based on the mean, and obtain employment information evaluation data; compare the mean with a preset mean threshold, and when the mean is greater than the preset mean threshold, make a stable assessment on the employment information, otherwise, make an unstable assessment.

[0095] The employment information is evaluated according to the employment information evaluation data to obtain an evaluation result, which includes specific calculation data.

[0096] The working principle of the above technical solution is: the system automatically triggers the update process of the employment stability coefficient of personnel and the employment stability coefficient of positions according to the preset evaluation cycle (such as monthly, quarterly or annual). This cycle can be flexibly set according to actual needs. At the end of each evaluation cycle, the system collects the latest data (such as the latest work status of employed personnel, changes in job requirements, etc.) and recalculates the employment stability coefficient of personnel and the employment stability coefficient of positions. This ensures that the stability coefficient can reflect the latest employment market dynamics. The system calculates the mean of all updated employment stability coefficients of personnel and positions. These means reflect the stability of the overall employment market and specific industries and positions. The system compares the calculated mean with the preset mean threshold. The mean threshold is a standard set according to historical data, market conditions or policy goals, which is used to judge the stability of the employment market. If the mean is greater than the preset mean threshold, the system determines that the employment information is stable; otherwise, it is determined to be unstable. This judgment provides an important basis for subsequent evaluation. Based on the above stability judgment, the system conducts a comprehensive evaluation of the employment information. During the evaluation process, the system not only considers the stability judgment result, but also may combine other factors (such as industry dynamics, policy changes, etc.) for comprehensive analysis. After the evaluation is completed, the system generates evaluation results, including specific calculation data, stability determination results, problems found during the evaluation process, and suggestions, etc. These evaluation results are presented in the form of reports, charts, etc., which are convenient for users to review and understand.

[0097] The technical effect of the above technical solution is: by presetting the evaluation cycle and periodically updating the stability coefficient, the system can ensure that the evaluation results always reflect the latest employment market dynamics. This improves the timeliness and accuracy of the evaluation, and helps users to grasp market changes in a timely manner. By calculating the mean and comparing it with the preset threshold for stability judgment, the system avoids the influence of subjective factors on the evaluation results. This objective evaluation method improves the reliability and credibility of the evaluation results. The evaluation results include not only the stability judgment results, but also the specific calculation data and the problems and suggestions found in the evaluation process. This comprehensive evaluation result provides users with rich information support, which helps them better understand the employment market dynamics and make decisions. The evaluation results can serve as an important reference for governments, enterprises and individuals to formulate employment policies, optimize human resource allocation and plan career development. Through continuous evaluation and adjustment, users can gradually optimize the stability and development potential of the employment market. The output and sharing of evaluation results promote information sharing and collaboration between different departments and institutions. This helps to break down information barriers, promote the effective integration and utilization of resources, and jointly promote the stable development of the employment market.

[0098] In one embodiment of the present invention, the system comprises:

[0099] An information dynamic monitoring module is used to obtain employment information and enterprise position information, perform corresponding matching between the employment information and enterprise position information, obtain matching information, dynamically monitor the matching information, and obtain employment dynamic monitoring information;

[0100] An employment characteristics determination module is used to obtain longitudinal monitoring indicators and horizontal monitoring indicators based on employment dynamic monitoring information, divide indicator monitoring blocks, determine monitoring points, obtain monitoring information of each monitoring point, perform employment characteristics determination, and obtain employment characteristics determination results;

[0101] The stability coefficient calculation module is used to calculate the employment stability coefficient of personnel and the employment stability coefficient of positions according to the employment characteristic determination information, and then make comprehensive determinations of personnel and positions, and record and store the determination information;

[0102] The comprehensive employment assessment module is used to update the employment stability coefficient of personnel and the employment stability coefficient of positions according to the preset assessment cycle, obtain employment information assessment data based on the updated data, and then obtain the assessment results.

[0103] The working principle of the above technical solution is as follows: the system first collects information on employed personnel and enterprise positions through various channels (such as enterprise HR systems, public employment service platforms, social media, etc.). This information includes but is not limited to the basic personal information, work experience, skills and expertise of employed personnel, as well as the demand description, salary and benefits, and job requirements of enterprise positions. Subsequently, the system uses advanced algorithms to intelligently match these two types of information to find potential matching pairs, that is, possible employment opportunities. Once the matching is completed, the system begins to continuously and dynamically monitor the matching information. This includes monitoring changes in the employment status of employed personnel (such as resignation, job hopping, promotion, etc.) and updates to the status of enterprise positions (such as recruitment status, job demand adjustments, etc.). Through real-time or regular data capture and analysis, the system can generate employment dynamic monitoring information to reflect real-time changes in the employment market. Based on dynamic monitoring information, the system constructs an evaluation system including vertical monitoring indicators (such as employment duration, salary change trends, etc.) and horizontal monitoring indicators (such as industry employment rate, job turnover rate, etc.). These indicators are divided into different monitoring blocks, and specific monitoring points are set in each monitoring block. By obtaining specific data from each monitoring point, in-depth judgment of employment characteristics is carried out. The system uses machine learning or statistical models to conduct in-depth analysis of monitoring data to identify the employment stability of employed personnel and the stability characteristics of enterprise positions. By calculating the employment stability coefficient of personnel and the employment stability coefficient of positions, the system can quantitatively evaluate the career development of employed personnel and the attractiveness of positions. Combining the employment stability coefficient of personnel and the employment stability coefficient of positions, the system conducts comprehensive judgments on personnel and positions to evaluate their future development trends and potential. All judgment information is recorded and stored by the system to provide support for subsequent analysis and decision-making. The system regularly updates the employment stability coefficient of personnel and the employment stability coefficient of positions according to the preset evaluation cycle (such as monthly, quarterly, annual, etc.). By comparing historical data with current data, the system can generate employment information evaluation data and further obtain evaluation results on the changing trends of the employment market.

[0104] The technical effect of the above technical solution is: through the intelligent matching algorithm, the system can quickly and accurately find potential matching objects for employed persons and enterprise positions, reduce information asymmetry, and improve employment matching efficiency. Dynamic monitoring and real-time data analysis make changes in the employment market more transparent, which helps policy makers, enterprises and employed persons to better grasp market dynamics and make scientific and reasonable decisions. Through employment characteristics determination and stability assessment, the system can help enterprises and employed persons better understand their position and competitiveness in the market, thereby optimizing human resource allocation and promoting the rational flow and efficient use of human resources. The employment information evaluation data generated by the system provides strong support for the government to formulate and adjust employment policies, and helps to achieve more accurate and effective policy intervention. Through continuous monitoring and evaluation, the system can promptly discover and solve problems and contradictions in the employment market, and promote the stable development of the employment market and social harmony.

[0105] In one embodiment of the present invention, the information dynamic monitoring module includes:

[0106] An information splitting module is used to obtain employment information of employed persons, split the employment information according to preset industry types, and obtain industry employment information; the employment information includes information of employed persons and information of job positions;

[0107] Split industry employment information according to preset job types to obtain job employment information;

[0108] A matching dynamic monitoring module is used to match job positions and employees according to the job employment information to obtain matching information;

[0109] Acquire dynamic variable information of matching information, and determine idle employed personnel information and idle post information according to the dynamic variable information; (idle employed personnel are those without staff after resignation, and idle posts are those without staff after resignation of employed personnel), and the dynamic variable information includes whether employed personnel have employment posts, and whether employment posts have employed personnel;

[0110] The information on idle employees and idle positions is employment dynamics monitoring information.

[0111] The working principle of the above technical solution is as follows: the system first collects employment information of employees through various channels (such as enterprise HR systems, public employment service platforms, recruitment websites, etc.). This information usually includes basic information of employees (such as name, age, education, skills, etc.) and their current or past job information (such as job title, industry, salary, job requirements, etc.). The system splits the collected employment information according to the preset industry categories. These industry categories can be based on national standards, market divisions or system customization. Through industry splitting, the system can generate a summary of employment information in various industries to provide basic data for subsequent analysis. On the basis of industry splitting, the system further splits the industry employment information in more detail according to the preset job categories. Job categories can be divided according to factors such as job nature, skill requirements, and scope of responsibilities. Through job splitting, the system can obtain employment information of specific jobs, including the number of employees in the job, personnel structure, job requirements, etc. The system uses algorithms to match job employment information with employees. The matching process takes into account factors such as job requirements and the ability, experience, and willingness of employees. After the match is successful, the system generates matching information to record which employees are assigned to which positions. The system continuously monitors the dynamic variables of the matching information, which mainly reflect the status changes between employees and jobs. The key dynamic variables include whether the employees have jobs (i.e., whether they are employed) and whether the jobs have employees (i.e., whether the jobs are vacant). By monitoring these variables, the system can promptly discover idle employees and idle positions in the job market. Based on the dynamic variable information, the system identifies employees who have no work arrangements after leaving their jobs as idle employees and records the information of these people. At the same time, the system also identifies jobs that have no successors after the employees leave their jobs as idle positions and records the relevant information. The system aggregates the information of idle employees and idle positions into employment dynamic monitoring information. This information is of great significance for understanding the real-time status of the job market, predicting employment trends, and formulating employment policies.

[0112] The technical effect of the above technical solution is: through real-time monitoring and dynamic analysis, the system can accurately reflect the real situation of the employment market, including the number, distribution and changing trend of idle employees and idle positions, thereby improving the transparency of the employment market. The system can timely discover and identify idle employment resources and job resources, provide effective information support for the government, enterprises and employees, and promote the rational allocation and flow of human resources. Based on the employment dynamic monitoring information, the government can more accurately formulate and adjust employment policies, such as providing vocational training, entrepreneurship support, job subsidies, etc., to alleviate employment pressure and promote the stability and development of the employment market. For employment service agencies and enterprises, the employment dynamic monitoring information provided by the system helps them better understand market demand and changing trends, thereby providing more accurate and personalized employment services and improving service quality and efficiency. Through real-time monitoring and early warning mechanisms, the system can timely discover and respond to potential problems and risks in the employment market, such as industry recession, job loss, etc., thereby promoting the stable development of the employment market and social harmony.

[0113] In one embodiment of the present invention, the employment characteristics determination module includes:

[0114] The indicator division module is used to divide the employment dynamic monitoring information according to the preset monitoring target dimension to obtain horizontal monitoring indicators and vertical monitoring indicators; the preset monitoring target dimension includes horizontal dimension and vertical dimension. The horizontal monitoring indicator is the information of employed persons, and the vertical monitoring indicator is the information of employment positions;

[0115] The monitoring point determination module is used to divide the indicator monitoring blocks according to the horizontal monitoring indicators and the vertical monitoring indicators, and determine each indicator monitoring block as a monitoring point; each indicator monitoring block is the matching information of the job position and the employed person, and the monitoring point monitors the dynamic variable information of the matching information. When dynamic variable information exists, a new indicator monitoring block is generated according to the dynamic variable information, and the new indicator monitoring block includes a new matching relationship corresponding to the dynamic variable information.

[0116] A feature determination module is used to obtain monitoring information of each monitoring point, determine the employment features of each monitoring point according to the monitoring information of each monitoring point, and obtain the employment feature determination result;

[0117] The employment characteristics determination includes personnel characteristics determination and position characteristics determination.

[0118] The personnel characteristic determination includes the personnel employment information (employed or unemployed) of the indicator monitoring block, and the position characteristic determination includes the position employment information (position vacant or not vacant) of the indicator monitoring block.

[0119] The working principle of the above technical solution is as follows: the system first divides the employment dynamic monitoring information according to the preset monitoring target dimensions. These dimensions usually include horizontal dimensions (such as information on employed persons) and vertical dimensions (such as information on job positions). Through the division, the system can clarify the focus and direction of monitoring and provide guidance for subsequent indicator construction and monitoring. On the basis of the division of monitoring target dimensions, the system constructs horizontal monitoring indicators and vertical monitoring indicators. Horizontal monitoring indicators mainly focus on the information of employed persons, such as employment status, skill level, work experience, etc.; vertical monitoring indicators focus on the information of job positions, such as job requirements, salary benefits, work requirements, etc. These indicators together constitute the basis of the monitoring system. The system further divides the indicator monitoring blocks according to horizontal monitoring indicators and vertical monitoring indicators. Each indicator monitoring block represents a specific monitoring object, that is, the matching information of job positions and employed persons. Each monitoring block is determined as a monitoring point, which is used to monitor the dynamic variable information of matching information, such as changes in employment status, adjustments to job requirements, etc. The system continuously monitors the dynamic variable information of each monitoring point. When dynamic variable information is monitored (such as the resignation of employed persons, the release of new positions, etc.), the system will generate a new indicator monitoring block based on this information. The new monitoring block contains new matching relationships corresponding to dynamic variable information, thus ensuring the real-time and accuracy of monitoring. The system determines the employment characteristics of each monitoring point based on the monitoring information of each monitoring point. The determination process includes personnel characteristics determination and job characteristics determination. Personnel characteristics determination focuses on the employment status, skill level and other aspects of employed personnel; job characteristics determination focuses on job vacancies, salary and benefits and other aspects. Through determination, the system can obtain in-depth understanding of the employment market and the characteristics of employed personnel.

[0120] The technical effect of the above technical solution is: by presetting the monitoring target dimensions and constructing horizontal and vertical monitoring indicators, the system can monitor the dynamic changes of the employment market more accurately. This precise monitoring helps to discover potential problems and trends, and provides strong support for policy making and employment services. The system can monitor the dynamic variable information of each monitoring point in real time, and immediately generate a new indicator monitoring block when changes are detected. This real-time monitoring mechanism ensures the timeliness and accuracy of the data, and helps to respond to emergencies in the employment market in a timely manner. Through employment feature determination, the system can deeply understand the characteristics and needs of employed people and jobs. This helps to provide more personalized employment guidance and recommendation services for employed people, and improve the quality and efficiency of employment services; based on accurate monitoring and in-depth feature determination results, the government can formulate and adjust employment policies more scientifically. These policies can target problems and needs in the employment market more accurately, thereby exerting greater policy effects. Through continuous monitoring and feature determination, the system can timely discover and respond to potential risks and challenges in the employment market.

[0121] In one embodiment of the present invention, the stability coefficient calculation module includes:

[0122] A personnel determination module is used to obtain personnel characteristic determination information of the same employed person, calculate the employment stability coefficient of the person according to the personnel characteristic determination information, make a comprehensive personnel determination on the employed person according to the employment stability coefficient of the person, and obtain the comprehensive personnel determination information;

[0123] The calculation formula for the employment stability coefficient of the personnel is:

[0124]

[0125] Among them, W ry is the employment stability coefficient, y is the employment times of employed persons, S i is the employment duration of the employed person in the i-th employment, G t is the maximum number of times an employee has worked in the same position, z is the number of times an employee has left his or her job, S l is the length of time the employed person has left the job for the first time (length of time not employed), G b It is the total number of times employed persons are employed in different positions.

[0126] A job determination module is used to obtain job feature determination information of the same job, calculate the job employment stability coefficient according to the job feature determination information, perform a comprehensive job determination on the job according to the job employment stability coefficient, and obtain comprehensive job determination information;

[0127] The calculation formula of the job employment stability coefficient is:

[0128]

[0129] Among them, W ge is the employment stability coefficient, u is the number of employees in the position, S g is the employment duration of the g-th employee, S wc B is the time when there are no employed persons in the post. c is the number of job changes, Z c is the total number of employed persons in the post. When the data is 0, set it to 1.

[0130] The storage and recording module is used to visually record and store personnel comprehensive judgment information and position comprehensive judgment information.

[0131] The working principle of the above technical solution is as follows: the system first collects characteristic determination information of the same employee at different time points, which may include employment status (employed / retired), working hours, job-hopping frequency, skill improvement, etc. The system uses this data to calculate the employment stability coefficient of the employee. This coefficient reflects the employment stability and career development sustainability of the employee within a certain period of time. After the calculation is completed, the system makes a comprehensive judgment on the employee based on the employment stability coefficient and evaluates his stability and development potential in the workplace. The system collects characteristic determination information of the same position at different time points, which may include job vacancy rate, recruitment cycle, job demand changes, salary level, etc. Using this data, the system calculates the job employment stability coefficient, which reflects the stability and attractiveness of the position. Based on the job employment stability coefficient, the system makes a comprehensive judgment on the position and evaluates its competitiveness in the employment market and its long-term development potential. In order to facilitate access and analysis, the system visualizes the comprehensive determination information of the personnel and the comprehensive determination information of the position. This may include generating charts, reports or dashboards to intuitively display the judgment results and key indicators.

[0132] The technical effect of the above technical solution is: by comprehensively considering the characteristic judgment information of multiple dimensions, the system can more accurately calculate the employment stability coefficient of personnel and the employment stability coefficient of positions, thereby improving the accuracy of the comprehensive judgment of employed personnel and positions. The comprehensive judgment information of personnel and the comprehensive judgment information of positions provide valuable reference for governments, enterprises and individuals. The government can formulate more accurate employment policies based on this; enterprises can optimize human resource allocation and recruitment strategies; individuals can better plan their career development paths. Through visual records, the system makes complex judgment information and data intuitive and easy to understand. This not only improves the efficiency of data use, but also enhances the readability and dissemination of data, so that more people can benefit from it. Storing the comprehensive judgment information of personnel and the comprehensive judgment information of positions in a unified database helps to realize information sharing and exchange. This helps to break the information island and promote the collaboration between different departments and institutions; based on accurate comprehensive judgment information, the system can guide the optimal allocation of resources. For example, the government can provide more training and employment assistance to groups with low employment stability; enterprises can adjust and optimize departments with poor job stability.

[0133] In one embodiment of the present invention, the comprehensive employment assessment module includes:

[0134] A coefficient updating module, used to update (recalculate) the personnel employment stability coefficient and the job employment stability coefficient according to a preset evaluation cycle, and obtain updated personnel employment stability coefficient and job employment stability coefficient;

[0135] The comprehensive evaluation module is used to obtain the mean of the employment stability coefficient of the personnel and the employment stability coefficient of the position, make a stability judgment on the employment information based on the mean, and obtain employment information evaluation data; compare the mean with a preset mean threshold, and when the mean is greater than the preset mean threshold, make a stable assessment of the employment information, otherwise, make an unstable assessment.

[0136] The employment information is evaluated according to the employment information evaluation data to obtain an evaluation result, which includes specific calculation data.

[0137] The working principle of the above technical solution is: the system automatically triggers the update process of the employment stability coefficient of personnel and the employment stability coefficient of positions according to the preset evaluation cycle (such as monthly, quarterly or annual). This cycle can be flexibly set according to actual needs. At the end of each evaluation cycle, the system collects the latest data (such as the latest work status of employed personnel, changes in job requirements, etc.) and recalculates the employment stability coefficient of personnel and the employment stability coefficient of positions. This ensures that the stability coefficient can reflect the latest employment market dynamics. The system calculates the mean of all updated employment stability coefficients of personnel and positions. These means reflect the stability of the overall employment market and specific industries and positions. The system compares the calculated mean with the preset mean threshold. The mean threshold is a standard set according to historical data, market conditions or policy goals, which is used to judge the stability of the employment market. If the mean is greater than the preset mean threshold, the system determines that the employment information is stable; otherwise, it is determined to be unstable. This judgment provides an important basis for subsequent evaluation. Based on the above stability judgment, the system conducts a comprehensive evaluation of the employment information. During the evaluation process, the system not only considers the stability judgment result, but also may combine other factors (such as industry dynamics, policy changes, etc.) for comprehensive analysis. After the evaluation is completed, the system generates evaluation results, including specific calculation data, stability determination results, problems found during the evaluation process, and suggestions, etc. These evaluation results are presented in the form of reports, charts, etc., which are convenient for users to review and understand.

[0138] The technical effect of the above technical solution is: by presetting the evaluation cycle and periodically updating the stability coefficient, the system can ensure that the evaluation results always reflect the latest employment market dynamics. This improves the timeliness and accuracy of the evaluation, and helps users to grasp market changes in a timely manner. By calculating the mean and comparing it with the preset threshold for stability judgment, the system avoids the influence of subjective factors on the evaluation results. This objective evaluation method improves the reliability and credibility of the evaluation results. The evaluation results include not only the stability judgment results, but also the specific calculation data and the problems and suggestions found in the evaluation process. This comprehensive evaluation result provides users with rich information support, which helps them better understand the employment market dynamics and make decisions. The evaluation results can serve as an important reference for governments, enterprises and individuals to formulate employment policies, optimize human resource allocation and plan career development. Through continuous evaluation and adjustment, users can gradually optimize the stability and development potential of the employment market. The output and sharing of evaluation results promote information sharing and collaboration between different departments and institutions. This helps to break down information barriers, promote the effective integration and utilization of resources, and jointly promote the stable development of the employment market.

[0139] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for intelligent dynamic monitoring and evaluation of employment information, characterized in that: The method comprises: S1. Obtaining information on employed personnel and information on enterprise positions, matching the information on employed personnel and the information on enterprise positions to obtain matching information, dynamically monitoring the matching information, and obtaining dynamic employment monitoring information; S2. Obtaining longitudinal monitoring indicators and transverse monitoring indicators based on employment dynamic monitoring information, dividing indicator monitoring blocks, determining monitoring points, obtaining monitoring information of each monitoring point, determining employment characteristics, and obtaining employment characteristics determination results; S3. Calculate the employment stability coefficient of personnel and the employment stability coefficient of positions according to the employment characteristic determination information, and then make comprehensive determinations of personnel and positions, and record and store the determination information; S4. Update the employment stability coefficient of personnel and the employment stability coefficient of positions according to the preset evaluation cycle, obtain employment information evaluation data based on the updated data, and then obtain the evaluation results.

2. According to claim 1, a method for intelligent dynamic monitoring and evaluation of employment information is characterized in that: The S1 includes: Obtaining employment information of employed persons, splitting the employment information according to preset industry categories, and obtaining industry employment information; Split industry employment information according to preset job types to obtain job employment information; Matching job positions and employees according to the job employment information to obtain matching information; Acquire dynamic variable information of matching information, and determine idle employed personnel information and idle job information according to the dynamic variable information; The information on idle employees and idle positions is employment dynamics monitoring information.

3. According to claim 1, a method for intelligent dynamic monitoring and evaluation of employment information is characterized in that: The S2 includes: Divide the employment dynamic monitoring information according to preset monitoring target dimensions to obtain horizontal monitoring indicators and vertical monitoring indicators; Divide the indicator monitoring blocks according to the horizontal monitoring indicators and the vertical monitoring indicators, and determine each indicator monitoring block as a monitoring point; Acquire monitoring information of each monitoring point, determine employment characteristics of each monitoring point according to the monitoring information of each monitoring point, and obtain employment characteristics determination results; The employment characteristics determination includes personnel characteristics determination and position characteristics determination.

4. According to claim 3, a method for intelligent dynamic monitoring and evaluation of employment information is characterized in that: The S3 includes: Obtaining personnel characteristic determination information of the same employed person, calculating the employment stability coefficient of the person according to the personnel characteristic determination information, making a comprehensive determination of the employed person according to the employment stability coefficient of the person, and obtaining comprehensive determination information of the person; Obtaining job characteristic determination information of the same job, calculating a job employment stability coefficient based on the job characteristic determination information, performing a job comprehensive determination on the job based on the job employment stability coefficient, and obtaining job comprehensive determination information; Visually record and store comprehensive personnel and position judgment information.

5. According to claim 1, a method for intelligent dynamic monitoring and evaluation of employment information is characterized in that: The S4 includes: According to a preset evaluation cycle, the employment stability coefficient of the personnel and the employment stability coefficient of the post are updated (recalculated) according to the preset evaluation cycle to obtain updated employment stability coefficient of the personnel and the employment stability coefficient of the post; Obtaining the average of the employment stability coefficient of the personnel and the employment stability coefficient of the post, making a stability determination on the employment information according to the average, and obtaining the employment information evaluation data; The employment information is evaluated according to the employment information evaluation data to obtain an evaluation result.

6. An intelligent dynamic monitoring and evaluation system for employment information, characterized in that: The system comprises: An information dynamic monitoring module is used to obtain employment information and enterprise position information, perform corresponding matching between the employment information and enterprise position information, obtain matching information, dynamically monitor the matching information, and obtain employment dynamic monitoring information; An employment characteristics determination module is used to obtain longitudinal monitoring indicators and horizontal monitoring indicators based on employment dynamic monitoring information, divide indicator monitoring blocks, determine monitoring points, obtain monitoring information of each monitoring point, perform employment characteristics determination, and obtain employment characteristics determination results; The stability coefficient calculation module is used to calculate the employment stability coefficient of personnel and the employment stability coefficient of positions according to the employment characteristic determination information, and then make comprehensive determinations of personnel and positions, and record and store the determination information; The comprehensive employment assessment module is used to update the employment stability coefficient of personnel and the employment stability coefficient of positions according to the preset assessment cycle, obtain employment information assessment data based on the updated data, and then obtain the assessment results.

7. According to claim 6, an intelligent dynamic monitoring and evaluation system for employment information is characterized in that: The information dynamic monitoring module includes: An information splitting module is used to obtain employment information of employed persons, split the employment information according to preset industry categories, and obtain industry employment information; Split industry employment information according to preset job types to obtain job employment information; A matching dynamic monitoring module is used to match job positions and employees according to the job employment information to obtain matching information; Acquire dynamic variable information of matching information, and determine idle employed personnel information and idle job information according to the dynamic variable information; The information on idle employees and idle positions is employment dynamics monitoring information.

8. According to claim 6, an intelligent dynamic monitoring and evaluation system for employment information is characterized in that: The employment characteristics determination module includes: An indicator division module is used to divide the employment dynamic monitoring information according to preset monitoring target dimensions to obtain horizontal monitoring indicators and vertical monitoring indicators; A monitoring point determination module, used to divide the indicator monitoring blocks according to the horizontal monitoring indicators and the vertical monitoring indicators, and determine each indicator monitoring block as a monitoring point; A feature determination module is used to obtain monitoring information of each monitoring point, determine the employment features of each monitoring point according to the monitoring information of each monitoring point, and obtain the employment feature determination result; The employment characteristics determination includes personnel characteristics determination and position characteristics determination.

9. According to claim 8, an intelligent dynamic monitoring and evaluation system for employment information is characterized in that: The stability coefficient calculation module includes: A personnel determination module is used to obtain personnel characteristic determination information of the same employed person, calculate the employment stability coefficient of the person according to the personnel characteristic determination information, make a comprehensive personnel determination on the employed person according to the employment stability coefficient of the person, and obtain the comprehensive personnel determination information; A job determination module is used to obtain job feature determination information of the same job, calculate the job employment stability coefficient according to the job feature determination information, perform a comprehensive job determination on the job according to the job employment stability coefficient, and obtain comprehensive job determination information; The storage and recording module is used to visually record and store personnel comprehensive judgment information and position comprehensive judgment information.

10. The employment information intelligent dynamic monitoring and evaluation system according to claim 6 is characterized in that: The comprehensive employment assessment module includes: A coefficient updating module, used to update the personnel employment stability coefficient and the job employment stability coefficient according to a preset evaluation cycle, and obtain updated personnel employment stability coefficient and job employment stability coefficient; A comprehensive evaluation module is used to obtain the average of the employment stability coefficient of personnel and the employment stability coefficient of positions, and to make a stability judgment on the employment information according to the average to obtain the employment information evaluation data; The employment information is evaluated according to the employment information evaluation data to obtain an evaluation result.

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