Flexible employment human resource integration method and system based on Internet of Things

Abstract

The invention relates to the technical field of human resource management, and discloses a flexible employment human resource integration method based on the Internet of Things, and the method comprises the steps: analyzing the occupational skills and job hunting demands of flexible employees, and analyzing the talent demands of a demand enterprise; constructing a resource display platform of flexible employees and demand enterprises, and setting a skill training mechanism and a qualification auditing system of the flexible employees; setting a position matching mechanism of the demand enterprises and the flexible employees, and defining demand achievement rules of the demand enterprises and the flexible employees; identifying residual human resources of the resource display platform, analyzing resource types of the residual human resources, and setting a flexible employment mode and a resource mutual assistance network of the residual human resources; and performing resource integration on the flexible employees in combination with a resource mutual assistance network, a position matching mechanism and a flexible employment mode to obtain a resource integration result. The human resource allocation can be optimized, and the talent matching efficiency and accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of human resource management, and particularly to a flexible employment human resource integration method and system based on the Internet of Things. Background Art

[0002] Flexible employment human resource integration refers to the process of incorporating those who do not have a fixed occupation and workplace and are freely scattered throughout society into social production and services through systematic strategies and steps, in order to improve the overall utilization efficiency of human resources in society. With the rapid development of the social economy, building a perfect and efficient human resource system has become an important way to improve the competitiveness of enterprises. Flexible employment human resource integration, as a key link in realizing the resource utilization efficiency of the human resource system, has become an important means for various industries to enhance their own competitiveness.

[0003] Traditional flexible employment human resource integration mainly relies on manual operations and simple information systems to provide job information, career counseling, and job hunting skill training for flexible employment personnel. It may lead to low supply-demand matching efficiency and resource waste due to poor information communication between enterprises and individuals. Summary of the Invention

[0004] To solve the above problems, the present invention provides a flexible employment human resource integration method and system based on the Internet of Things, which can optimize human resource allocation and improve the efficiency and accuracy of talent matching.

[0005] In a first aspect, the present invention provides a flexible employment human resource integration method based on the Internet of Things, including: Obtaining flexible employment personnel to be integrated and their corresponding demand enterprises, analyzing the professional skills and job hunting needs of the flexible employment personnel, and analyzing the talent needs of the demand enterprises; Constructing a resource display platform for the flexible employment personnel and the demand enterprises according to the professional skills, the job hunting needs, and the talent needs, and setting a skill training mechanism and a qualification review system for the flexible employment personnel based on the talent needs; Combining the skill training mechanism and the qualification review system, setting a job matching mechanism for the demand enterprises and the flexible employment personnel, and defining a demand fulfillment rule for the demand enterprises and the flexible employment personnel based on the job matching mechanism; Based on the demand fulfillment rule, identifying the remaining human resources on the resource display platform, analyzing the resource types of the remaining human resources, and setting flexible employment modes for the remaining human resources according to the resource types; According to the flexible employment model and the skill training mechanism, a resource mutual assistance network for the flexible employees is set up. Combining the resource mutual assistance network, the job matching mechanism and the flexible employment model, the resources of the flexible employees are integrated to obtain a resource integration result.

[0006] In a possible implementation manner of the first aspect, the analyzing the talent needs of the demanding enterprises includes: Collecting the job recruitment information of the demanding enterprises; According to the job recruitment information, analyzing the types of talents needed by the demanding enterprises; Based on the types of talents needed, defining the job requirement indicators of the demanding enterprises; According to the job requirement indicators, identifying the talents in short supply for the corresponding positions of the demanding enterprises; Based on the talents in short supply and the job requirement indicators, analyzing the long-term talent demand trend of the demanding enterprises; Combining the long-term talent demand trend and the job requirement indicators, analyzing the talent needs of the demanding enterprises.

[0007] In a possible implementation manner of the first aspect, the constructing a resource display platform for the flexible employees and the demanding enterprises according to the professional skills, the job hunting needs and the talent needs includes: Generating a shared database for the flexible employees and the demanding enterprises according to the professional skills, the job hunting needs and the talent needs; According to the shared database, calculating the job matching degree between the flexible employees and the demanding enterprises, and analyzing the satisfaction degree of the flexible employees with the demanding enterprises; Based on the job matching degree and the satisfaction degree, constructing an intelligent matching model for the flexible employees and the demanding enterprises; According to the intelligent matching model, setting a personalized recommendation combination for the flexible employees and the demanding enterprises; Combining the shared data, the intelligent matching model and the personalized recommendation combination, constructing a resource display platform for the flexible employees and the demanding enterprises.

[0008] In a possible implementation manner of the first aspect, the calculating the job matching degree between the flexible employees and the demanding enterprises according to the shared database includes: Identifying the data types of the shared database; According to the data types, identifying the advantage list and the employment needs of the flexible employees; Define the matching index types between the flexible employees and the demand enterprises based on the above advantage list and the employment requirements;

[0009] According to the matching index types, calculate the job matching degree between the flexible employees and the demand enterprises by using the following formula: ; Where S represents the job matching degree between the flexible employees and the demand enterprises, represents the weight of the e-th positive matching index in the matching index types, represents the score of the e-th positive matching index, represents the score function of the e-th positive matching index, represents the exponent of the score of the positive matching index, e represents the index number of the positive matching index in the matching index types, n represents the total number of positive matching indexes in the matching index types, represents the weight of the i-th negative matching index in the matching index types, represents the score of the i-th negative matching index, represents the exponent of the score of the negative matching index, m represents the total number of negative matching indexes in the matching index types, i represents the index number of the negative matching index in the matching index types.

[0010] In a possible implementation manner of the first aspect, the skill training mechanism and qualification review system for the flexible employees are set based on the talent requirements, including: Identify the demand enterprises corresponding to the talent requirements; Collect the operation data of the demand enterprises, and analyze the industry development trend of the demand enterprises according to the operation data; Based on the industry development trend, identify the skill demand trend of the demand enterprises; Combined with the industry development trend and the skill demand trend, set the skill training mechanism for the flexible employees; Based on the skill training mechanism, set the training passing method for the flexible employees; According to the training passing method, set the due diligence and verification mechanism of the demand enterprises for the flexible employees; Based on the due diligence and verification mechanism and the training passing method, set the qualification review system for the flexible employees.

[0011] In a possible implementation manner of the first aspect, the job matching mechanism between the demand enterprises and the flexible employees is set by combining the skill training mechanism and the qualification review system, including: Based on the skill training mechanism and the qualification review system, construct the qualification blockchain of the flexible employees; Set the qualification verification mechanism of the demanding enterprise for the flexible employees according to the qualification blockchain; Dispatch the skill training data of the flexible employees and the actual operation data of the demanding enterprise; Extract the job matching parameters of the qualification blockchain based on the skill training data and the actual operation data; Set the job matching mechanism between the demanding enterprise and the flexible employees according to the qualification verification mechanism and the job matching parameters.

[0012] In a possible implementation manner of the first aspect, defining the demand fulfillment rules of the demanding enterprise and the flexible employees based on the job matching mechanism includes: Construct an interaction platform for the demanding enterprise and the flexible employees according to the job matching mechanism; Collect the real-time operation data of the demanding enterprise and the real-time skill result data of the flexible employees based on the interaction platform; Extract the characteristic parameters of the real-time operation data and the real-time skill result data; Match the interaction needs of the demanding enterprise and the flexible employees according to the characteristic parameters; Calculate the demand fit coefficient of the interaction needs using the following formula: ; where M represents the demand fit coefficient of the interaction needs, H represents the total number of characteristic parameters in the interaction needs, represents the weight of the g-th characteristic parameter in the interaction needs, represents the matching degree score of the g-th characteristic parameter in the interaction needs; Set the automated inspection mechanism for the real-time operation data and the real-time skill result data according to the demand fit coefficient; Define the demand fulfillment rules of the demanding enterprise and the flexible employees according to the automated inspection mechanism and the demand fit coefficient.

[0013] In a possible implementation manner of the first aspect, setting the flexible employment mode of the remaining human resources according to the resource type includes: Dispatch the real-time skill effect data of the remaining human resources; Analyze the availability of the remaining human resources based on the real-time skill effect data; Identify the demanding enterprises of the remaining human resources according to the availability; Identify the flexible employment positions of the demanding enterprises; Set the flexible employment mode of the remaining human resources according to the availability and the flexible employment positions.

[0014] In a possible implementation manner of the first aspect, setting the resource mutual assistance network of the flexible employment personnel according to the flexible employment mode and the skill training mechanism includes: Identify the enterprise type corresponding to the flexible employment mode; Analyze the employment needs corresponding to the enterprise type according to the flexible employment mode; Based on the employment needs, set the resource sharing platform corresponding to the enterprise type and the flexible employment personnel; Define the information exchange system between the enterprise type and the flexible employment personnel according to the resource sharing platform; Identify the mutual assistance institutions of the flexible employment personnel; Set the resource mutual assistance network of the flexible employment personnel according to the mutual assistance institutions, the resource sharing platform and the information exchange system.

[0015] In a second aspect, the flexible employment human resource integration system based on the Internet of Things provided by the present invention is characterized in that the system includes: A demand perception module, configured to obtain the flexible employment personnel to be integrated and their corresponding demand enterprises, analyze the professional skills and job hunting needs of the flexible employment personnel, and analyze the talent needs of the demand enterprises; A platform display module, configured to construct a resource display platform for the flexible employment personnel and the demand enterprises according to the professional skills, the job hunting needs and the talent needs, and set a skill training mechanism and a qualification review system for the flexible employment personnel based on the talent needs; An interaction application module, configured to set a job matching mechanism for the demand enterprises and the flexible employment personnel in combination with the skill training mechanism and the qualification review system, and define a demand fulfillment rule for the demand enterprises and the flexible employment personnel based on the job matching mechanism; A resource optimization module, configured to identify the remaining human resources of the resource display platform based on the demand fulfillment rule, analyze the resource types of the remaining human resources, and set the flexible employment mode of the remaining human resources according to the resource types; A resource integration module, configured to set the resource mutual assistance network of the flexible employment personnel according to the flexible employment mode and the skill training mechanism, and perform resource integration on the flexible employment personnel in combination with the resource mutual assistance network, the job matching mechanism and the flexible employment mode to obtain a resource integration result.

[0016] Compared with the prior art, the technical principle and beneficial effects of the above solution are as follows:

[0017] In the embodiments of the present invention, by analyzing the vocational skills and job-hunting needs of the flexible employees and the talent needs of the demanding enterprises, it helps the flexible employees improve their skills to meet the needs of the Internet of Things industry, and at the same time solves the problem of talent shortage for the enterprises. Secondly, in the embodiments of the present invention, by constructing a resource display platform for the flexible employees and the demanding enterprises, setting up a skill training mechanism and a qualification review system for the flexible employees, it can reduce information asymmetry, improve the efficiency of recruitment and job hunting, and promote the activity of the employment market. At the same time, it can help the flexible employees improve or obtain skills that match the market demand, and improve the efficiency and accuracy of talent matching. Thirdly, in the embodiments of the present invention, by combining the skill training mechanism and the qualification review system, setting up a job matching mechanism for the demanding enterprises and the flexible employees, and defining the demand fulfillment rules for the demanding enterprises and the flexible employees, it can quickly identify the skills and qualifications of the flexible employees, thereby improving the matching efficiency with the demanding enterprises. And by using blockchain technology to ensure the authenticity and immutability of all training records, qualification certifications and employment histories, it enhances the trust of both job seekers and enterprises in the matching mechanism and improves the utilization efficiency of human resources. Further, in the embodiments of the present invention, by identifying the remaining human resources on the resource display platform and setting up a flexible employment mode and a resource mutual assistance network for the remaining human resources, it can encourage flexible employees to actively participate in social and economic activities, reduce social isolation and marginalization, provide employment opportunities for flexible employees, and help enterprises access a wider talent pool. Finally, in the embodiments of the present invention, by combining the resource mutual assistance network, the job matching mechanism and the flexible employment mode, integrating the resources of the flexible employees to obtain a resource integration result, it can increase the employment opportunities of the flexible employees, improve the economic self-reliance ability of the flexible employees, and at the same time optimize the allocation of human resources and improve the resource utilization efficiency. Therefore, the flexible employment human resource integration method based on the Internet of Things proposed by the present invention can optimize the allocation of human resources and improve the efficiency and accuracy of talent matching. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present invention and used together with the specification to explain the principles of the present invention.

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0020] Figure 1Schematic flowchart of a flexible employment human resource integration method based on the Internet of Things provided by an embodiment of the present invention; Figure 2 Schematic diagram of modules of a flexible employment human resource integration system based on the Internet of Things provided by an embodiment of the present invention. Detailed implementation manners

[0021] It should be understood that the specific implementation manners described herein are only used to explain the present invention and are not used to limit the present invention.

[0022] The embodiment of the present invention provides a flexible employment human resource integration method based on the Internet of Things. The execution subject of the flexible employment human resource integration method based on the Internet of Things includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiment of the present invention. In other words, the flexible employment human resource integration method based on the Internet of Things can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms.

[0023] Refer to Figure 1 As shown, it is a schematic flowchart of a flexible employment human resource integration method based on the Internet of Things provided by an embodiment of the present invention. Among them, Figure 1 The flexible employment human resource integration method described in includes: S1. Obtain flexible employment personnel to be integrated and their corresponding demand enterprises, analyze the professional skills and job hunting needs of the flexible employment personnel, and analyze the talent needs of the demand enterprises.

[0024] By obtaining flexible employment personnel to be integrated and their corresponding demand enterprises in the embodiment of the present invention, data support can be provided for subsequent resource integration. The flexible employment personnel refer to those who do not have a fixed occupation, do not have a stable income source, or are in a marginal position in society. The demand enterprises refer to those enterprises that need labor or professional and technical talents.

[0025] Furthermore, embodiments of the present invention can help flexible employees improve their skills and meet the needs of the Internet of Things industry by analyzing the professional skills and job hunting needs of flexible employees and analyzing the talent needs of the demanding enterprises. At the same time, it also solves the problem of talent shortage for enterprises. The professional skills refer to the skills and abilities possessed by an individual in a certain professional field. The job hunting needs refer to the specific requirements and expectations of job seekers when looking for a job, such as reasonable salary and welfare benefits. The talent needs refer to the specific requirements and expectations of job seekers when looking for a job, such as reasonable salary and welfare benefits.

[0026] Optionally, the analysis of the professional skills and job hunting needs of flexible employees can be determined through the Chinese version of the Social Skills Inventory (SSI).

[0027] As an embodiment of the present invention, the analysis of the talent needs of the demanding enterprises includes: collecting the job recruitment information of the demanding enterprises; analyzing the types of required talents of the demanding enterprises according to the job recruitment information; defining the job demand indicators of the demanding enterprises based on the types of required talents; identifying the shortage of talents for the corresponding positions of the demanding enterprises according to the job demand indicators; analyzing the long-term talent demand trend of the demanding enterprises based on the shortage of talents for the positions and the job demand indicators; and analyzing the talent needs of the demanding enterprises by combining the long-term talent demand trend and the job demand indicators.

[0028] Among them, the job recruitment information refers to the detailed information about specific job vacancies released by enterprises, including job descriptions, responsibilities, requirements, etc. The types of required talents refer to the talent characteristics and categories required by enterprises analyzed according to the job recruitment information. The job demand indicators refer to the specific criteria further refined based on the types of required talents and used to evaluate and screen candidates, such as skill test scores, years of work experience, educational level, etc. The shortage of talents for the positions refers to the suitable candidates lacking in specific positions of enterprises. The long-term talent demand trend refers to the trend of the demand for talents by enterprises in the future period analyzed based on the shortage of talents for the positions and the job demand indicators.

[0029] Optionally, the collection of the job recruitment information of the demanding enterprises can be obtained through recruitment websites. The analysis of the long-term talent demand trend of the demanding enterprises based on the types of required talents, the shortage of talents for the positions and the job demand indicators can be realized by using a professional talent demand prediction platform. The identification of the shortage of talents for the corresponding positions of the demanding enterprises according to the job demand indicators can be determined by analyzing the enterprise's business strategy.

[0030] S2. Construct a resource display platform for flexible employees and demanding enterprises according to the professional skills, job hunting needs and talent needs, and set up a skill training mechanism and a qualification review system for flexible employees based on the talent needs.

[0031] In an embodiment of the present invention, by constructing a resource display platform for the flexible employees and the demanding enterprises according to the vocational skills, the job hunting needs, and the talent needs, information asymmetry can be reduced, the efficiency of recruitment and job hunting can be improved, and the activity of the employment market can be promoted. The resource display platform refers to a network platform for displaying and sharing data resources, information content, service interfaces, etc.

[0032] As an embodiment of the present invention, constructing the resource display platform for the flexible employees and the demanding enterprises according to the vocational skills, the job hunting needs, and the talent needs includes: generating a shared database for the flexible employees and the demanding enterprises according to the vocational skills, the job hunting needs, and the talent needs; calculating the job matching degree between the flexible employees and the demanding enterprises according to the shared database, and analyzing the satisfaction degree of the flexible employees with the demanding enterprises; constructing an intelligent matching model for the flexible employees and the demanding enterprises based on the job matching degree and the satisfaction degree; setting a personalized recommendation combination for the flexible employees and the demanding enterprises according to the intelligent matching model; and constructing the resource display platform for the flexible employees and the demanding enterprises by combining the shared data, the intelligent matching model, and the personalized recommendation combination.

[0033] Among them, the shared database refers to a centralized storage system containing data such as the vocational skill information of flexible employees, job hunting needs, and the talent needs of enterprises. The job matching degree refers to an index measuring the matching degree between the skills, experience, and job hunting intentions of flexible employees and the job requirements of enterprises. The satisfaction degree refers to the satisfaction level of flexible employees with enterprise jobs, including salary, working environment, corporate culture, etc. The intelligent matching model refers to a model that uses machine learning and data mining technologies to automatically recommend the most suitable counterpart for job seekers and enterprises according to data such as job matching degree and satisfaction degree. The personalized recommendation combination refers to a recommended list customized for each user according to the results of the intelligent matching model.

[0034] Optionally, generating the shared database for the flexible employees and the demanding enterprises according to the vocational skills, the job hunting needs, and the talent needs can be implemented using the Chat2DB database management tool. Analyzing the satisfaction degree of the flexible employees with the demanding enterprises can be obtained through an online evaluation system. Constructing the intelligent matching model for the flexible employees and the demanding enterprises based on the job matching degree and the satisfaction degree can be implemented using a deep learning network model.

[0035] As another embodiment of the present invention, calculating the job matching degree between the flexible employees and the demand enterprises according to the shared database includes: identifying the data types in the shared database; according to the data types, identifying the advantage list and employment requirements of the flexible employees; based on the advantage list and the employment requirements, defining the matching index types between the flexible employees and the demand enterprises; and calculating the job matching degree between the flexible employees and the demand enterprises according to the matching index types.

[0036] Among them, the data type refers to the types of data stored in the shared database, the advantage list refers to the set of outstanding points possessed by flexible employees, such as educational background, skills, experience, etc., the employment requirement refers to the specific requirements of flexible employees for future job positions, and the matching index type refers to various criteria or parameters used to measure the job matching degree between flexible employees and enterprise positions, such as skill matching degree, experience matching degree, educational background matching degree, etc.

[0037] Optionally, the identification of the advantage list and employment requirements of the flexible employees according to the data types can be achieved by using statistical analysis, and the definition of the matching index types between the flexible employees and the demand enterprises based on the advantage list and the employment requirements can be determined according to the specific job requirements of the demand enterprises.

[0038] In an optional embodiment of the present invention, according to the matching index types, the following formula is used to calculate the job matching degree between the flexible employees and the demand enterprises: ; Among them, S represents the job matching degree between the flexible employees and the demand enterprises, represents the weight of the e-th positive matching index in the matching index types, represents the score of the e-th positive matching index, represents the score function of the e-th positive matching index, represents the exponent of the score of the positive matching index, e represents the index number of the positive matching index in the matching index types, n represents the total number of positive matching indexes in the matching index types, represents the weight of the i-th negative matching index in the matching index types, represents the score of the i-th negative matching index, represents the exponent of the score of the negative matching index, m represents the total number of negative matching indexes in the matching index types, and i represents the index number of the negative matching index in the matching index types.

[0039] It should be noted that positive matching indicators refer to indicators that have a positive impact on the matching results, such as educational level, work experience, etc., and negative matching indicators refer to indicators that have a negative impact on the matching results, such as turnover rate, absenteeism rate, etc.

[0040] Furthermore, in the embodiments of the present invention, by setting up a skill training mechanism and a qualification review system for the flexible employees based on the talent demand, it can help the flexible employees improve or acquire skills that match the market demand, and improve the efficiency and accuracy of talent matching. The skill training mechanism refers to educational and training activities that improve an individual's skills and knowledge level, and the qualification review system refers to the processes and standards for verifying and certifying an individual's skills, knowledge, and qualifications.

[0041] As an embodiment of the present invention, setting up the skill training mechanism and the qualification review system for the flexible employees based on the talent demand includes: identifying the demand enterprises corresponding to the talent demand; collecting the operation data of the demand enterprises, and analyzing the industry development trend of the demand enterprises according to the operation data; identifying the skill demand trend of the demand enterprises based on the industry development trend; combining the industry development trend and the skill demand trend to set up the skill training mechanism for the flexible employees; setting up the training passing method for the flexible employees based on the skill training mechanism; setting up a due diligence and verification mechanism for the demand enterprises to the flexible employees according to the training passing method; and setting up the qualification review system for the flexible employees based on the due diligence and verification mechanism and the training passing method.

[0042] Among them, the operation data refers to the data generated by the demand enterprises in the daily operation process, such as financial statements, production data, sales records, etc. The industry development trend refers to the development direction and change trend of the industry within a certain period, including technological innovation, market demand changes, competition pattern, etc. The skill demand trend refers to the change trend of the enterprise's demand for specific skills or abilities with the change of the industry development trend. The training passing method refers to the standard for evaluating whether the flexible employees have completed the skill training. The due diligence and verification mechanism refers to the process of the demand enterprises conducting background investigations and ability verifications on potential employees.

[0043] Optionally, the collection of the operation data of the demand enterprises can be realized by using the data acquisition and monitoring system of the Internet of Things. The identification of the skill demand trend of the demand enterprises based on the industry development trend can be obtained through the supply chain tracking system. The setting up of the due diligence and verification mechanism for the demand enterprises to the flexible employees according to the training passing method can be realized by using blockchain technology.

[0044] S3. Combine the skill training mechanism and the qualification review system, set up a job matching mechanism for the demanding enterprises and the flexible employees, and define the demand fulfillment rules for the demanding enterprises and the flexible employees based on the job matching mechanism.

[0045] In the embodiment of the present invention, by combining the skill training mechanism and the qualification review system and setting up a job matching mechanism for the demanding enterprises and the flexible employees, the skills and qualifications of the flexible employees can be quickly identified, thereby improving the matching efficiency with the demanding enterprises. Moreover, by using blockchain technology, the authenticity and immutability of all training records, qualification certifications, and employment histories are ensured. The job matching mechanism refers to a mechanism that intelligently matches the skills, experience, and qualifications of flexible employees with the job requirements of demanding enterprises.

[0046] As an embodiment of the present invention, the step of combining the skill training mechanism and the qualification review system and setting up a job matching mechanism for the demanding enterprises and the flexible employees includes: constructing a qualification blockchain for the flexible employees based on the skill training mechanism and the qualification review system; setting up a qualification verification mechanism for the demanding enterprises to verify the qualifications and certificates of the flexible employees recorded on the qualification blockchain according to the qualification blockchain; scheduling the skill training data of the flexible employees and the actual operation data of the demanding enterprises; extracting job matching parameters of the qualification blockchain based on the skill training data and the actual operation data; and setting up a job matching mechanism for the demanding enterprises and the flexible employees according to the qualification verification mechanism and the job matching parameters.

[0047] Among them, the qualification blockchain refers to a platform for storing and verifying the information of flexible employees, including educational background, skill training records, qualification certificates, and career history, etc. The qualification verification mechanism refers to a mechanism used by demanding enterprises to verify the authenticity of the qualifications and certificates recorded by flexible employees on the qualification blockchain. The skill training data refers to relevant data such as training courses, training results, and skill mastery levels participated by flexible employees. The actual operation data refers to the data generated by demanding enterprises in their daily operations, including production efficiency, employee performance, skill requirements, job vacancies, etc. The job matching parameters refer to the key information extracted based on the skill training data and the actual operation data, including specific skill requirements, work experience, educational level, certificate qualifications, etc.

[0048] Optionally, based on the skill training mechanism and qualification review system, the construction of the qualification blockchain for flexible employees can be achieved using the Ethereum blockchain platform. Based on the qualification blockchain, the qualification verification mechanism for flexible employees by the demanding enterprises can be determined through smart contracts. Based on the skill training data and the actual operation data, the extraction of the job matching parameters of the qualification blockchain can be achieved using machine learning algorithms, such as the support vector machine algorithm.

[0049] Furthermore, in the embodiments of the present invention, by defining the demand fulfillment rules for the demanding enterprises and the flexible employees based on the job matching mechanism, the trust of both job seekers and enterprises in the matching mechanism can be enhanced, and the utilization efficiency of human resources can be improved. The demand fulfillment rules refer to a series of standards, guidelines, and processes, such as contracts, set in the job matching mechanism to ensure the effective conclusion of employment agreements between demanding enterprises and flexible employees.

[0050] As an embodiment of the present invention, defining the demand fulfillment rules for the demanding enterprises and the flexible employees based on the job matching mechanism includes: constructing an interaction platform for the demanding enterprises and the flexible employees according to the job matching mechanism; collecting the real-time operation data of the demanding enterprises and the real-time skill result data of the flexible employees based on the interaction platform; extracting the characteristic parameters of the real-time operation data and the real-time skill result data; matching the interaction needs of the demanding enterprises and the flexible employees according to the characteristic parameters; calculating the demand fit coefficient of the interaction needs; setting an automated inspection mechanism for the real-time operation data and the real-time skill result data according to the demand fit coefficient; and defining the demand fulfillment rules for the demanding enterprises and the flexible employees according to the automated inspection mechanism and the demand fit coefficient.

[0051] Among them, the interaction platform refers to an online system that promotes communication and interaction between demanding enterprises and flexible employees. The real-time operation data refers to the real-time public data generated by demanding enterprises in daily operations. The real-time skill result data refers to the skill levels and achievements demonstrated by flexible employees during training or work. The characteristic parameters refer to the key indicators extracted from the real-time operation data and the real-time skill result data. The interaction needs refer to the demand matching requests between demanding enterprises and flexible employees. The demand fit coefficient refers to a quantitative indicator that measures the degree of demand matching between demanding enterprises and flexible employees. The automated inspection mechanism refers to a system that automatically verifies the accuracy and effectiveness of the real-time operation data and the real-time skill result data.

[0052] Optionally, according to the position matching mechanism, the interactive platform for the demanding enterprise and the flexible employees can be constructed using a web development framework, such as the React framework. The extraction of characteristic parameters of the real-time operation data and the real-time skill result data can be obtained through a decision tree. According to the characteristic parameters, the matching of the interactive needs between the demanding enterprise and the flexible employees can be determined through a user behavior analysis tool, such as the Google Analytics tool. According to the demand fit coefficient, the setting of the automated inspection mechanism for the real-time operation data and the real-time skill result data can be realized using an automated testing tool, such as the Selenium tool.

[0053] In an optional embodiment of the present invention, the demand fit coefficient of the interactive needs is calculated using the following formula: ; where M represents the demand fit coefficient of the interactive needs, H represents the total number of characteristic parameters in the interactive needs, represents the weight of the g-th characteristic parameter in the interactive needs, represents the matching score of the g-th characteristic parameter in the interactive needs.

[0054] S4. Based on the demand fulfillment rule, identify the remaining human resources on the resource display platform, analyze the resource types of the remaining human resources, and set the flexible employment modes of the remaining human resources according to the resource types.

[0055] In the embodiment of the present invention, by identifying the remaining human resources on the resource display platform based on the demand fulfillment rule, it helps to more effectively allocate and utilize the labor force, ensuring that each position can find a suitable candidate. The remaining human resources refer to the flexible employees who do not have a suitable position temporarily on the resource display platform.

[0056] Optionally, the identification of the remaining human resources on the resource display platform based on the demand fulfillment rule can be determined through an online questionnaire survey.

[0057] Furthermore, in the embodiment of the present invention, by analyzing the resource types of the remaining human resources, it can guide the adjustment and optimization of the skill training mechanism and help the flexible employees with career planning and skill improvement. The resource types refer to the different skill types and characteristics possessed by the flexible employees who do not have a suitable position temporarily on the resource display platform.

[0058] Optionally, the analysis of the resource types of the remaining human resources can be realized using a human resources information system.

[0059] In an embodiment of the present invention, by setting a flexible employment model for the remaining human resources according to the resource type, employment opportunities can be provided for flexible employees, and enterprises can be helped to access a wider talent pool. The flexible employment model refers to an operation mode in which an enterprise flexibly adjusts its labor structure and work mode according to business needs and market changes.

[0060] As an embodiment of the present invention, setting the flexible employment model for the remaining human resources according to the resource type includes: scheduling the real-time skill effect data of the remaining human resources; analyzing the availability of the remaining human resources based on the real-time skill effect data; identifying the demand enterprises for the remaining human resources according to the availability; identifying the flexible employment positions of the demand enterprises; and setting the flexible employment model for the remaining human resources according to the availability and the flexible employment positions.

[0061] Among them, the availability refers to the current immediate availability of the remaining human resources, including employment status, skill level, work experience, etc. The flexible employment position refers to a position that can adopt a non-traditional full-time work arrangement, such as part-time, temporary, project-based work, etc.

[0062] Optionally, based on the real-time skill effect data, the analysis of the availability of the remaining human resources can be determined by obtaining the skill level of job seekers through online skill assessment and testing. The extraction of flexible employment positions of the demand enterprises can be realized by using a flexible employment platform, such as the Freelancer platform.

[0063] S5. Set up a resource mutual assistance network for the flexible employees according to the flexible employment model and the skill training mechanism, and integrate the resources of the flexible employees by combining the resource mutual assistance network, the position matching mechanism and the flexible employment model to obtain a resource integration result.

[0064] In an embodiment of the present invention, by setting up a resource mutual assistance network for the flexible employees according to the flexible employment model and the skill training mechanism, flexible employees can be encouraged to actively participate in social and economic activities, reduce social isolation and marginalization, and at the same time, the human resource allocation can be optimized and the resource utilization efficiency can be improved. The resource mutual assistance network refers to a platform that can connect flexible employees with demand enterprises, training institutions, government agencies and other relevant organizations to achieve resource sharing, information exchange and mutual cooperation.

[0065] As an embodiment of the present invention, based on the flexible employment mode and the skills training mechanism, a resource mutual assistance network for flexible employees is set up, including: identifying the enterprise type corresponding to the flexible employment mode; analyzing the employment needs corresponding to the enterprise type according to the flexible employment mode; setting up a resource sharing platform corresponding to the enterprise type and the flexible employees based on the employment needs; defining an information exchange system between the enterprise type and the flexible employees according to the resource sharing platform; identifying the mutual assistance institutions for flexible employees; and setting up a resource mutual assistance network for flexible employees according to the mutual assistance institutions, the resource sharing platform and the information exchange system.

[0066] Among them, the enterprise type refers to the classification of enterprises adopting flexible employment arrangements, the employment needs refer to the types and quantities of labor required by enterprises based on their business models and market demands, the resource sharing platform refers to a platform that promotes resource sharing and information exchange between enterprises and flexible employees, the information exchange system refers to a mechanism for communication and information exchange between enterprises and flexible employees, and the mutual assistance institutions refer to organizations that provide support and assistance to flexible employees, such as non-profit organizations, community centers, charitable organizations, etc.

[0067] Optionally, the identification of the enterprise type corresponding to the flexible employment mode can be determined through an industry database. Based on the employment needs, the setting up of the resource sharing platform corresponding to the enterprise type and the flexible employees can be achieved by using a professional social platform. According to the resource sharing platform, the definition of the information exchange system between the enterprise type and the flexible employees can be obtained by formulating clear communication protocols and processes.

[0068] Furthermore, in the embodiment of the present invention, by combining the resource mutual assistance network, the job matching mechanism and the flexible employment mode, the resources of flexible employees are integrated to obtain a resource integration result, which can increase the employment opportunities of flexible employees, improve their economic self-reliance ability, and at the same time optimize the human resource allocation and improve the resource utilization efficiency. The resource integration result refers to the state or effect achieved after systematically configuring and managing the resources of flexible employees by integrating means such as the resource mutual assistance network, the job matching mechanism and the flexible employment mode, such as an increase in flexible employment opportunities, an improvement in the utilization efficiency of labor resources, and an enhancement of the flexibility of the labor market.

[0069] It can be seen that in the embodiments of the present invention, by analyzing the vocational skills and job hunting needs of the flexible employees and the talent needs of the demanding enterprises, the flexible employees are helped to improve their skills to meet the needs of the Internet of Things industry, and at the same time, the problem of talent shortage for enterprises is solved. Secondly, in the embodiments of the present invention, by constructing a resource display platform for the flexible employees and the demanding enterprises, and setting up a skill training mechanism and a qualification review system for the flexible employees, information asymmetry can be reduced, the efficiency of recruitment and job hunting can be improved, and the activity of the employment market can be promoted. At the same time, it can help the flexible employees to improve or obtain skills that match the market demand, and improve the efficiency and accuracy of talent matching. Thirdly, in the embodiments of the present invention, by combining the skill training mechanism and the qualification review system, setting up a job matching mechanism for the demanding enterprises and the flexible employees, and defining the demand fulfillment rules for the demanding enterprises and the flexible employees, the skills and qualifications of the flexible employees can be quickly identified, so as to improve the matching efficiency with the demanding enterprises. By using blockchain technology, the authenticity and immutability of all training records, qualification certifications, and employment histories are ensured, enhancing the trust of both job seekers and enterprises in the matching mechanism and improving the utilization efficiency of human resources. Further, in the embodiments of the present invention, by identifying the remaining human resources on the resource display platform and setting up a flexible employment mode and a resource mutual assistance network for the remaining human resources, flexible employees can be encouraged to actively participate in social and economic activities, reduce social isolation and marginalization, provide employment opportunities for flexible employees, and help enterprises access a wider talent pool. Finally, in the embodiments of the present invention, by combining the resource mutual assistance network, the job matching mechanism, and the flexible employment mode, the resources of the flexible employees are integrated to obtain a resource integration result, which can increase the employment opportunities of the flexible employees, improve the economic self-reliance ability of the flexible employees, and at the same time optimize the allocation of human resources and improve the resource utilization efficiency. Therefore, the flexible employment human resource integration method based on the Internet of Things proposed by the present invention can optimize the allocation of human resources and improve the efficiency and accuracy of talent matching.

[0070] As Figure 2 shown, it is a system function module diagram of the flexible employment human resource integration based on the Internet of Things of the present invention.

[0071] The flexible employment human resource integration system 200 based on the Internet of Things of the present invention can be installed in an electronic device. According to the functions achieved, the flexible employment human resource integration system based on the Internet of Things can include a demand perception module 201, a platform display module 202, an interaction application module 203, a resource optimization module 204, and a resource integration module 205. The modules of the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0072] In the embodiments of the present invention, the functions of each module / unit are as follows: The demand perception module 201 is configured to obtain flexible employees to be integrated and their corresponding demand enterprises, analyze the professional skills and job hunting demands of the flexible employees, and analyze the talent demands of the demand enterprises; The platform display module 202 is configured to construct a resource display platform for the flexible employees and the demand enterprises according to the professional skills, the job hunting demands, and the talent demands, and set a skill training mechanism and a qualification review system for the flexible employees based on the talent demands; The interaction application module 203 is configured to set a job matching mechanism for the demand enterprises and the flexible employees in combination with the skill training mechanism and the qualification review system, and define a demand fulfillment rule for the demand enterprises and the flexible employees based on the job matching mechanism; The resource optimization module 204 is configured to identify the remaining human resources on the resource display platform based on the demand fulfillment rule, analyze the resource types of the remaining human resources, and set a flexible employment mode for the remaining human resources according to the resource types; The resource integration module 205 is configured to set a resource mutual assistance network for the flexible employees according to the flexible employment mode and the skill training mechanism, and integrate the resources of the flexible employees by combining the resource mutual assistance network, the job matching mechanism, and the flexible employment mode to obtain a resource integration result.

[0073] Specifically, each module in the flexible employment human resource integration system 200 based on the Internet of Things in the embodiments of the present invention adopts the same technical means as those in the above-mentioned Figure 1 flexible employment human resource integration method based on the Internet of Things, and can produce the same technical effects, which will not be elaborated here.

[0074] In addition, the functional modules in each embodiment of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware, or in the form of a combination of hardware and software functional modules.

[0075] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-mentioned exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention.

[0076] Therefore, from any perspective, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Thus, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claims concerned.

[0077] It should be noted that, in this text, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0078] The above are only specific embodiments of the present invention, which enable those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features disclosed herein.

Claims

1. A flexible employment human resources integration method based on the Internet of Things, characterized in that: The method comprises: Obtain the flexible employment personnel to be integrated and their corresponding demanding enterprises, analyze the professional skills and job-seeking needs of the flexible employment personnel, and analyze the talent needs of the demanding enterprises; According to the professional skills, job-seeking needs and talent needs, a resource display platform for the flexible employment personnel and the demanding enterprises is constructed, and based on the talent needs, a skill training mechanism and qualification review system for the flexible employment personnel is set up; In combination with the skill training mechanism and qualification review system, a job matching mechanism between the demand enterprises and the flexible employment personnel is set up, and based on the job matching mechanism, demand fulfillment rules between the demand enterprises and the flexible employment personnel are defined; Based on the demand fulfillment rule, identifying the remaining human resources of the resource display platform, analyzing the resource type of the remaining human resources, and setting a flexible employment mode for the remaining human resources according to the resource type; According to the flexible employment model and the skill training mechanism, a resource mutual assistance network for the flexible employment personnel is set up, and the resources of the flexible employment personnel are integrated by combining the resource mutual assistance network, the position matching mechanism and the flexible employment model to obtain resource integration results.

2. The method according to claim 1, characterized in that The analyzing of the talent needs of the demanding enterprise includes: Collect job recruitment information of the demanding enterprises; Analyze the talent types required by the required enterprises according to the job recruitment information; Based on the talent type required, define the job demand indicators of the required enterprise; According to the job demand indicators, identify the talent shortage corresponding to the job demanding enterprise; Analyze the long-term talent demand trend of the demanding enterprise based on the talent shortage of the position and the job demand indicators; In combination with the long-term talent demand trend and the job demand indicators, the talent demand of the demanding enterprises is analyzed.

3. The method according to claim 1, characterized in that The step of constructing a resource display platform for the flexible employment personnel and the demanding enterprises based on the professional skills, job-seeking needs and talent needs includes: Generate a shared database of the flexible employment personnel and the demanding enterprises based on the professional skills, job-seeking needs and talent needs; According to the shared database, the job matching degree between the flexible employment personnel and the demand enterprise is calculated, and the satisfaction degree of the flexible employment personnel with the demand enterprise is analyzed; Based on the job matching degree and the satisfaction degree, construct an intelligent matching model between the flexible employment personnel and the demanding enterprises; According to the intelligent matching model, a personalized recommendation combination of the flexible employment personnel and the demanding enterprises is set; By combining the shared data, the intelligent matching model and the personalized recommendation combination, a resource display platform for the flexible employment personnel and the demand enterprises is constructed.

4. The method according to claim 3, characterized in that The calculating, based on the shared database, the job matching degree between the flexible employment personnel and the demanding enterprise comprises: Identifying data types of the shared database; Based on the data types, identify the advantages list and onboarding requirements of the flexible employment personnel; Based on the advantage list and the employment requirements, define the matching indicator type between the flexible employment personnel and the demanding enterprise; According to the matching indicator type, the following formula is used to calculate the job matching degree between the flexible employment personnel and the demanding enterprise: ； Among them, S represents the job matching degree between flexible employment personnel and demanding enterprises. Indicates the weight of the e-th positive matching indicator in the matching indicator type. represents the score of the e-th positive matching indicator, represents the score function of the e-th positive matching indicator, Indicates the index of the positive matching indicator score, e indicates the index number of the positive matching indicator in the matching indicator type, and n indicates the total number of positive matching indicators in the matching indicator type. Indicates the weight of the i-th negative matching indicator in the matching indicator type. represents the score of the i-th negative matching indicator, Represents the index of the negative match indicator score, m represents the total number of negative match indicators in the match indicator type, and i represents the index number of the negative match indicator in the match indicator type.

5. The method according to claim 1, characterized in that The skill training mechanism and qualification review system for the flexible employment personnel are set up based on the talent demand, including: Identify the enterprises that need the talent; Collecting the operational data of the demand enterprise, and analyzing the industry development trend of the demand enterprise based on the operational data; Based on the industry development trend, identify the skill demand trend of the demand enterprise; In combination with the industry development trend and the skill demand trend, a skill training mechanism for the flexible employment personnel is established; Based on the skill training mechanism, set the training method for the flexible employment personnel; According to the training passing method, a due diligence verification mechanism is set up for the demand enterprise to check the flexible employment personnel; Based on the due diligence verification mechanism and the training passing method, a qualification review system for the flexible employment personnel is set up.

6. The method according to claim 1, characterized in that The above-mentioned skill training mechanism and qualification review system are combined to set up a job matching mechanism between the demand enterprises and the flexible employment personnel, including: Based on the skill training mechanism and qualification review system, a qualification blockchain for the flexible employment personnel is constructed; According to the qualification blockchain, a qualification verification mechanism for the flexible employment personnel by the demanding enterprise is set up; Scheduling the skill training data of the flexible employment personnel and scheduling the actual operation data of the demand enterprises; Extracting job matching parameters of the qualification blockchain based on the skill training data and the actual operation data; According to the qualification verification mechanism and the job matching parameters, a job matching mechanism is set between the demand enterprise and the flexible employment personnel.

7. The method according to claim 1, characterized in that The definition of the demand fulfillment rules between the demand enterprise and the flexible employment personnel based on the job matching mechanism includes: According to the job matching mechanism, an interactive platform is established between the demanding enterprises and the flexible employment personnel; Based on the interactive platform, the real-time operation data of the demand enterprise and the real-time skill result data of the flexible employment personnel are collected; Extracting characteristic parameters of the real-time operation data and the real-time skill result data; According to the characteristic parameters, matching the interaction needs of the demand enterprise and the flexible employment personnel; The demand fit coefficient of the interaction demand is calculated using the following formula: ； Among them, M represents the demand matching coefficient of the interaction demand, H represents the total number of characteristic parameters in the interaction demand, represents the weight of the g-th feature parameter in the interaction requirement, Indicates the matching score of the g-th feature parameter in the interaction requirement; According to the demand matching coefficient, an automatic verification mechanism for the real-time operation data and the real-time skill result data is set; According to the automated inspection mechanism and the demand matching coefficient, the demand fulfillment rules between the demand enterprise and the flexible employment personnel are defined.

8. The method according to claim 1, characterized in that The step of setting a flexible employment mode for the remaining human resources according to the resource type includes: Dispatching real-time skill effect data of the remaining human resources; Analyzing the availability of the remaining human resources based on the real-time skill effect data; According to the availability, identifying enterprises that need the remaining human resources; Identify the flexible employment positions of the enterprises in need; According to the availability and the flexible employment positions, a flexible employment model for the remaining human resources is set up.

9. The method according to claim 1, characterized in that: The resource mutual assistance network for the flexible employment personnel is set up according to the flexible employment model and the skill training mechanism, including: Identify the type of enterprise corresponding to the flexible employment model; Analyze the employment needs of the enterprise type according to the flexible employment model; Based on the employment demand, a resource sharing platform corresponding to the enterprise type and the flexible employment personnel is set up; According to the resource sharing platform, define the information exchange system between the enterprise type and the flexible employment personnel; Identify the mutual aid organizations of the flexible workers; A resource mutual assistance network for the flexible employment personnel is set up based on the mutual assistance organization, the resource sharing platform and the information exchange system.

10. The flexible employment human resources integration system based on the Internet of Things is characterized by: The system comprises: The demand perception module is used to obtain the flexible employment personnel to be integrated and their corresponding demand enterprises, analyze the professional skills and job-seeking needs of the flexible employment personnel, and analyze the talent needs of the demand enterprises; A platform display module is used to build a resource display platform for the flexible employment personnel and the demanding enterprises according to the professional skills, the job-seeking needs and the talent needs, and to set up a skill training mechanism and qualification review system for the flexible employment personnel based on the talent needs; An interactive application module, used to set up a job matching mechanism between the demand enterprise and the flexible employment personnel in combination with the skill training mechanism and the qualification review system, and to define demand achievement rules between the demand enterprise and the flexible employment personnel based on the job matching mechanism; A resource optimization module, for identifying the remaining human resources of the resource display platform based on the demand achievement rule, analyzing the resource type of the remaining human resources, and setting a flexible employment mode for the remaining human resources according to the resource type; The resource integration module is used to set up a resource mutual assistance network for the flexible employment personnel according to the flexible employment model and the skill training mechanism, and integrate the resources of the flexible employment personnel in combination with the resource mutual assistance network, the job matching mechanism and the flexible employment model to obtain resource integration results.

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