Public service system with integration of production and education and use method of public service system

Abstract

The invention belongs to the technical field of production and education fusion, and discloses a production and education fusion public service system and a use method, and the system comprises the steps: achieving the distributed evidence storage and cross-chain interoperation of the data of an education institution and an enterprise through a block chain evidence storage module, and solving the data island problem of an existing system; a full-link security protection system from data acquisition, transmission to storage is constructed through an SM4 cryptographic algorithm encryption and trusted timestamp signature technology; dynamically adjusting a matching weight by utilizing a dynamic matching engine driven by a reinforcement learning algorithm and combining an industry trend index; the supervision end tracks a data flow path in real time and generates a compliance report through a full-link data auditing module and a visual supervision panel, so that a government supervision department can quickly recognize abnormal operation; according to the invention, the problems of school-enterprise data islanding, weak safety mechanism, matching logic stiffness and insufficient supervision transparency in the existing production and education fusion system are solved.

Description

Technical Field

[0001] This solution belongs to the field of education integration technology, and specifically relates to an industry-education integration public service system and a method of use. Background Art

[0002] Referring to the background technology with the existing public (announcement) number CN114884701A, the integration of industry and education refers to vocational schools actively opening up professional industries according to their established majors, closely combining industry with teaching, supporting and promoting each other, and making the school an industrial business entity integrating talent training, scientific research, and technological services, forming a school-running model in which schools and enterprises are seamlessly integrated. However, the existing integration of industry and education is not perfect in terms of intercommunication, interconnection, and information sharing. The integration process is cumbersome, information cannot be shared, and the needs of deep integration of industry and education cannot be met, which seriously affects the communication between schools and enterprises. Therefore, using network cloud computing for rapid data processing and improving exchanges between enterprises and universities has become an important issue. Moreover, most enterprises currently possess knowledge that exceeds what students have learned. After leaving school, students still need to conduct specialized studies, which violates the concept of the campus to export talents.

[0003] Referring to the document with the existing public (announcement) number CN114884701A, a new era vocational education production-education integration governance system and method is disclosed. The system can prevent enterprise employees from arbitrarily deleting company-related content by limiting the authority of enterprise employees. By checking the enterprise needs, future development directions and work benefits published by enterprise personnel, it is convenient to improve students' understanding of society and plan for future work directions. It can also help schools optimize students' future education, improve the campus's ability to deliver talents, and avoid the knowledge learned on campus lagging behind the development of society. Through network cloud computing, data can be quickly screened, which not only facilitates students to independently learn necessary knowledge and plan for future work directions, locations, industries, etc.

[0004] For example, in the above-mentioned industry-education integration system, the system of CN114884701A relies on a centralized database and only supports one-way data upload. It is impossible to achieve real-time two-way matching of education capability maps and enterprise job requirements, resulting in a lag in school-enterprise collaboration response. Secondly, most existing systems use general encryption algorithms (such as RSA) and are not adapted to national encryption compliance requirements in the education field (such as SM2 / SM4). Although data encryption is mentioned in CN217988877U, the specific algorithm and transmission protocol are not clear, and there is a risk of sensitive data leakage (such as student privacy information). The matching function of CN114884701A is based on a static rule base (such as preset job keywords) and cannot dynamically adjust weights in combination with industry trends. For example, it did not introduce real-time industry indexes (such as the Ministry of Human Resources and Social Security's skill demand white paper) or reinforcement learning algorithms, resulting in a disconnect between recommendation results and actual market demand. Summary of the invention

[0005] The purpose of this solution is to provide a public service system for the integration of industry and education to solve the problems of data islands between schools and enterprises, weak security mechanisms, rigid matching logic, and insufficient supervision transparency existing in the existing industry-education integration systems.

[0006] To achieve the above purpose, this solution provides a public service system for the integration of industry and education, including: an educational institution end, an enterprise cooperation end, a public service platform, and a supervision end;

[0007] The educational institution end includes: an identity authentication module, a course data collection module, a resource encryption module, and a first communication interface; the identity authentication module is used for educational institution personnel to log in and bind institution information; the course data collection module is used to collect student ability maps, course practice results, and teacher configuration data through API interfaces; the resource encryption module encrypts the data uploaded by the educational institution end using the SM4 national cryptography algorithm and checks the data integrity through hash verification; the first communication interface uploads the encrypted data to the public service platform through a 5G private network;

[0008] The enterprise cooperation end includes: a demand release module, a job portrait generation module, a data signature module, and a second communication interface; the demand release module is used for enterprises to release job skill requirements, project cooperation plans, and training resource lists; the job portrait generation module generates a dynamic job ability model based on enterprise demand data through semantic analysis; the data signature module is used to sign the enterprise end data with a trusted time stamp; the second communication interface synchronizes data with the enterprise intranet through the Internet of Things protocol;

[0009] The public service platform includes: a blockchain evidence storage module, a dynamic matching engine, a multi-source data fusion module, and an intelligent push module; the blockchain evidence storage module is used for distributed evidence storage of the encrypted data uploaded by the educational institution end and the enterprise end; the dynamic matching engine uses a reinforcement learning algorithm to match the student ability map with the job ability model in real time; the multi-source data fusion module is used to integrate government policy libraries, industry standard libraries, and third-party evaluation data; the intelligent push module pushes customized training plans for enterprises to the educational institution end according to the matching results and pushes a list of suitable talents to the enterprise cooperation end;

[0010] The supervision end includes a compliance audit module, a data audit module, and a visual supervision panel; the compliance audit module is used to verify the legitimacy of educational institution qualifications and enterprise requirements; the data audit module generates a full-link data flow report and displays it through the visual supervision panel.

[0011] The effect of this solution is to achieve distributed storage and cross-chain interoperability of educational institution and enterprise data through the blockchain evidence storage module, solve the data island problem of existing systems, and enable real-time two-way sharing of students' ability maps, enterprise job requirements, and policy resources; through the SM4 national encryption algorithm encryption and trusted timestamp signature technology, build a full-link security protection system from data collection, transmission to storage, and solve the risk of student privacy leakage caused by the lack of general encryption algorithms (such as RSA) and protocols in traditional systems; use a dynamic matching engine driven by reinforcement learning algorithms, combined with industry trend indexes (such as the White Paper on Skills Requirements of the Ministry of Human Resources and Social Security), to dynamically adjust the matching weights, and increase the matching accuracy of students' skills and enterprise needs to more than 90%, significantly improving the lag problem of recommendation results caused by traditional static rule bases; at the same time, the supervision side uses the full-link data audit module and the visual supervision panel to track the data flow path in real time and generate compliance reports, enabling government supervision departments to quickly identify abnormal operations (such as unauthorized access), thus solving the pain points of unclear responsibilities and supervision blind spots in school-enterprise cooperation, and finally realizing the full-process closed-loop management of the integration of production and education from data interconnection, precise matching to compliance supervision.

[0012] Furthermore, the educational institution side and the enterprise cooperation side support cross-platform deployment, including Web side, mobile side, and API interface integration.

[0013] Furthermore, the input parameters of the dynamic matching engine include students' skill weights, enterprise demand priorities

[0014] and industry trend indexes. The dynamic weight adjustment formula for the industry trend index is:

[0015] W t = α·S k + β·E p + γ·I t

[0016] where, W t is the total weight, S k is the students' skill weight, E p is the enterprise demand priority, I t is the industry trend index, and α, β, γ are adjustable coefficients, with default values corresponding to 0.3, 0.5, 0.2.

[0017] Furthermore, the blockchain evidence storage module adopts a multi-chain architecture. The educational data chain and the enterprise data chain achieve data mutual trust through the cross-chain atomic exchange protocol, and the block generation period of each chain is 10 seconds, and the single-block capacity is 2MB.

[0018] Further, the push strategy of the intelligent push module includes pushing urgent requirements to the educational institution side through the WebSocket protocol; generating a PDF format matching analysis report every week and sending it to the enterprise collaboration side via email; marking red tags for talent profiles with a high matching degree of ≥80 points and pinning them at the top of the push queue.

[0019] Further, the supervision side supports the government supervision department to implement hierarchical permission control through digital certificates, including the first-level permission, only viewing the data flow report; the second-level permission, downloading the audit log and triggering compliance review; the third-level permission, remotely freezing abnormal accounts and generating law enforcement records.

[0020] Further, the natural language processing unit of the multi-source data fusion module uses the pre-trained model RoBERTa to automatically extract the industry-education integration incentive clauses in the policy documents and generate a structured JSON format output.

[0021] A method for using an industry-education integration public service system includes applying an industry-education integration public service system as described above, and the steps are as follows:

[0022] S10. The educational institution side completes identity authentication through a digital certificate, collects student ability map data, encrypts it with SM4, and uploads it to the public service platform through a 5G private network;

[0023] S20. The enterprise collaboration side publishes job requirements, and the data signature module generates a signature record with a timestamp and synchronizes it to the public service platform through the MQTT protocol;

[0024] S30. The blockchain evidence storage module performs cross-chain evidence storage on the educational side and enterprise side data, generates an evidence storage certificate containing the block hash value, and stores it through IPFS distributed storage;

[0025] S40. The dynamic matching engine calculates the student-job matching degree based on multi-source data, and the matching degree formula is:

[0026]

[0027] where S i is the student skill score, and E i is the enterprise demand weight;

[0028] S50. The intelligent push module sends enterprise-customized course optimization suggestions to the educational institution side and pushes suitable talent profiles to the enterprise collaboration side;

[0029] S60. The supervision side monitors data interaction in real time, generates audit logs for unauthorized access behaviors, and displays warning information through a visual panel.

[0030] Further, in the step S40, the industry trend index obtains the industry demand data released by the Ministry of Human Resources and Social Security in real time through the API and dynamically adjusts the matching weight.

[0031] Further, in the step S50, the pushed course optimization suggestions include the virtual simulation training resource link and the enterprise tutor reservation interface. Description of the Drawings

[0032] Figure 1 It is a flowchart of a method for using a public service system for integration of production and education of the present invention; Detailed Embodiment

[0033] The following will clearly and completely describe the concept of the present invention and the technical effects produced in combination with the embodiments to fully understand the purpose, features and effects of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, other embodiments obtained by those skilled in the art without creative efforts shall fall within the scope of protection of the present invention:

[0034] In this embodiment, the Chowan industry cluster in Shipai Town, Dongguan City, Guangdong Province is used as the implementation scenario to build the "Chowan Center for Integration of Production and Education Public Service Platform", whose architecture includes an educational institution side, an enterprise cooperation side, a public service platform and a supervision side. A public service system for integration of production and education is specifically deployed as follows:

[0035] Educational institution side: Deployed in the School of Art and Design of Guangdong University of Science and Technology, accessed through the Web end and the mobile end, and supports the student ability map acquisition module to obtain student design works, 3D modeling ability and IP creative scoring data in real time.

[0036] Enterprise cooperation side: Access the intranets of more than 4,000 toy production enterprises in Shipai Town, and synchronize the Chowan design job requirements, IP development projects and training resource lists released by the enterprises through the MQTT protocol.

[0037] Public service platform: Adopt a multi-chain blockchain architecture, and the education data chain and the enterprise data chain realize the copyright deposit of Chowan design works through the cross-chain atomic exchange protocol (the block generation period is 10 seconds, and the single block capacity is 2MB).

[0038] Supervision side: Authorized by the Dongguan Municipal Human Resources and Social Security Bureau, and realizes full-link supervision through digital certificate hierarchical permissions (the first-level permission views the data flow report, the second-level permission triggers compliance review, and the third-level permission freezes abnormal accounts).

[0039] This embodiment sets parameters according to the characteristics of the Chowan industry:

[0040] Industry trend index (I t)Obtain the "White Paper on the Talent Demand in the Digital Cultural and Creative Industry" released by the Ministry of Human Resources and Social Security in real time through the API. The dynamic weight formula is as follows:

[0041] W t = α·S k + β·E p + γ·I t

[0042] The dynamically adjusted weight coefficients are α = 0.3, β = 0.4, and γ = 0.3.

[0043] The dynamic matching engine adopts a reinforcement learning algorithm, with the student skill score (such as IP design ability ≥ 85 points) and the enterprise demand weight (such as the priority of the 3D modeling position is 0.8) as inputs. The matching degree calculation formula is as follows:

[0044]

[0045] Among them, S i is the student skill score, and E i is the enterprise demand weight;

[0046] The matching result is pushed to the enterprise side through the intelligent push module to push the talent files marked with red labels (matching degree ≥ 80 points), and the virtual simulation training resource links are sent to the educational institution side through the WebSocket protocol.

[0047] Policy library integration: Use the RoBERTa pre-trained model to parse policy documents such as the "Construction Guide for Modern Industry Colleges", extract the incentive clauses for the integration of production and education, and generate structured JSON data.

[0048] Curriculum system: Develop micro-major courses such as "Trendy Toy IP Design" and "Digital Modeling Technology", and provide an appointment interface for enterprise tutors through the "Guangke Online" platform to support students to participate in real projects of trendy toy enterprises.

[0049] A method for using an integrated production and education public service system, including applying an integrated production and education public service system as described above, comprising the following steps:

[0050] Step S10: The educational institution side collects the data of the trendy toy IP works designed by students, encrypts them with SM4, and uploads them to the blockchain evidence storage module through a 5G dedicated network to generate an evidence storage certificate containing the block hash value.

[0051] Step S20: The enterprise collaboration side publishes job requirements such as "blind box design" and "co-branded IP development", and the data signature module attaches a trusted time stamp and synchronizes them to the public service platform.

[0052] Step S40: The dynamic matching engine combines the industry trend index (such as the 20% growth in the demand for 3D modeling in the trendy toy industry in 2024), dynamically adjusts the matching weights, and outputs real-time recommendation results.

[0053] Step S50: Push the list of suitable talents (such as student A with a matching degree of 90%) to the enterprise, and push the optimized suggestions for the enterprise-customized courses (such as adding the course of "Trendy Toy Supply Chain Management") to the school.

[0054] After the implementation of this embodiment, the following effects are achieved:

[0055] The matching accuracy rate of students and positions is increased to 92%, and the enterprise recruitment cycle is shortened by 40%;

[0056] Through the blockchain evidence storage technology, the copyright dispute rate of trendy toy IPs is decreased by 65%;

[0057] The government regulatory department identifies and processes 3 unauthorized data access events through the visual panel, and the regulatory efficiency is increased by 50%.

[0058] The above are only the embodiments of the present invention. Common knowledge such as the specific structures and characteristics known in the solutions is not described in detail here. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope required by this application should be subject to the content of its claims, and the specific implementation manners described in the specification can be used to interpret the content of the claims.

Claims

1. A public service system for integrating industry and education, characterized in that, Including: The educational institution side, the enterprise collaboration side, the public service platform, and the supervision side; The educational institution side includes: an identity authentication module, a course data collection module, a resource encryption module, and a first communication interface; the identity authentication module is used for educational institution personnel to log in and bind institution information; the course data collection module is used to collect student ability maps, course practice results, and teacher allocation data through API interfaces; the resource encryption module encrypts the data uploaded by the educational institution side using the SM4 national cryptography algorithm and checks the data integrity through hash verification; the first communication interface uploads the encrypted data to the public service platform through a 5G private network; The enterprise collaboration side includes: a demand release module, a job profile generation module, a data signature module, and a second communication interface; the demand release module is used for enterprises to release job skill requirements, project cooperation plans, and training resource lists; the job profile generation module generates a dynamic job ability model based on enterprise demand data through semantic analysis; the data signature module is used to perform a trusted timestamp signature on enterprise-side data; the second communication interface synchronizes data with the enterprise intranet through the Internet of Things protocol; The public service platform includes: a blockchain deposit module, a dynamic matching engine, a multi-source data fusion module, and an intelligent push module; the blockchain deposit module is used to perform distributed deposit on the encrypted data uploaded by the educational institution side and the enterprise side; the dynamic matching engine uses a reinforcement learning algorithm to match the student ability map with the job ability model in real time; the multi-source data fusion module is used to integrate the government policy library, the industry standard library, and third-party evaluation data; the intelligent push module pushes customized enterprise training plans to the educational institution side according to the matching results and pushes a list of suitable talents to the enterprise collaboration side; The supervision side includes a compliance review module, a data audit module, and a visual supervision panel; the compliance review module is used to verify the legitimacy of educational institution qualifications and enterprise requirements; the data audit module generates a full-link data flow report and displays it through the visual supervision panel.

2. The public service system for integration of production and education according to claim 1, characterized in that: The educational institution side and the enterprise collaboration side support cross-platform deployment, including the Web side, the mobile side, and API interface integration.

3. The public service system for integration of industry and education according to claim 1, characterized in that: The input parameters of the dynamic matching engine include student skill weights, enterprise demand priorities, and industry trend indexes, and the dynamic weight adjustment formula for the industry trend index is: W t = α·S k + β·E p + γ·I t Among them, W t is the total weight, S k is the student skill weight, E p is the enterprise demand priority, I t is the industry trend index, and α, β, γ are adjustable coefficients, with default values corresponding to 0.3, 0.5, 0.2 respectively.

4. The public service system for integration of production and education according to claim 1, characterized in that: The blockchain deposit module adopts a multi-chain architecture. The education data chain and the enterprise data chain achieve data mutual trust through a cross-chain atomic exchange protocol, and the block generation period of each chain is 10 seconds, and the single-block capacity is 2MB.

5. A public service system for integrating industry and education according to claim 1, characterized in that: The push strategies of the intelligent push module include pushing urgent demands to the educational institution side through the WebSocket protocol; generating a PDF-format matching analysis report every week and sending it to the enterprise collaboration side by email; marking high-matching talent files with a score of ≥80 with a red label and topping them in the push queue.

6. The public service system for integration of production and education according to claim 1, wherein: The supervision side supports the government supervision department to implement hierarchical permission control through digital certificates, including: First-level permission, only view the data flow report; Second-level permission, download the audit log and trigger a compliance review; Three-level permissions, remotely freeze abnormal accounts and generate law enforcement records.

7. A public service system for integration of industry and education according to claim 1, characterized in that: The natural language processing unit of the multi-source data fusion module adopts the pre-trained model RoBERTa, automatically extracts the industry-education integration incentive clauses in the policy documents, and generates a structured JSON format output.

8. A method for using an industry-education integration public service system, including applying an industry-education integration public service system as described in any one of claims 1-7, characterized in that, It includes the following steps: S10. The educational institution side completes identity authentication through digital certificates, collects student ability map data, encrypts it with SM4, and uploads it to the public service platform through a 5G private network; S20. The enterprise collaboration side publishes job requirements, the data signature module generates a signature record with a timestamp, and synchronizes it to the public service platform through the MQTT protocol; S30. The blockchain evidence storage module conducts cross-chain evidence storage on the educational and enterprise data, generates an evidence storage certificate containing the block hash value, and stores it through IPFS distributed storage; S40. The dynamic matching engine calculates the student-job matching degree based on multi-source data. The matching degree formula is: Among them, S i is the student skill score, and E i is the enterprise demand weight; S50. The intelligent push module sends enterprise-customized curriculum optimization suggestions to the educational institution side and pushes the adapted talent profiles to the enterprise collaboration side; S60. The supervision side monitors data interaction in real time, generates audit logs for unauthorized access behaviors, and displays warning information through a visual panel.

9. The method for using an industry-education integration public service system according to claim 8, characterized in that: In step S40, the industry trend index obtains the industry demand data released by the Ministry of Human Resources and Social Security in real time through the API and dynamically adjusts the matching weights.

10. A method for using an industry-education integration public service system according to claim 8, characterized in that: In step S50, the pushed curriculum optimization suggestions include virtual simulation training resource links and enterprise tutor reservation interfaces.

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