Producing and teaching collaborative competition and scientific research platform

Abstract

The invention discloses a production and teaching collaborative competition and scientific research platform, which constructs a bridge for connecting colleges, enterprises and students, and stimulates the innovation ability and practical skills of the students through competition, so that the technology is converted from competition to scientific research; comprising an enterprise demand pool, a competition management module, an academic transformation engine, a competition-scientific research transformation module and a school-enterprise cooperation module, the enterprise demand pool and the competition management module can effectively solve the demand connection problem of production-teaching cooperation, and the academic transformation engine and the competition-scientific research transformation module realize achievement transformation of competition and scientific research. The school-enterprise cooperation module guarantees right and interest distribution through an intelligent contract mechanism, promotes sustainability of production and teaching cooperation, enables enterprises to publish technical requirements, enables students to submit schemes through a competition platform, automatically generates academic papers and distributes intellectual properties, is high in achievement conversion rate, achieves the integration of educational resources and production and teaching cooperation, and is high in efficiency. And the method has remarkable technical advancement and application value.

Description

Technical Field

[0001] The present invention relates to the field of industry-education integration technology, and specifically to an industry-education collaborative competition and scientific research platform. Background Art

[0002] The deep integration of industry, academia and research is a key move for scientific and technological innovation to lead industrial upgrading, and it is also an important way to accelerate the cultivation of innovative talents. In recent years, industry-university-research cooperation has played an important role in the key core technology research in my country. On the one hand, it is necessary to optimize the industry-university-research collaborative education mechanism, enhance the effectiveness of cultivating top-notch innovative talents, improve the professional early warning and dynamic adjustment mechanism of colleges and universities, improve the "three-link" mechanism of enrollment plan, employment situation and professional development linkage, coordinate and optimize the layout of disciplines and majors, combine its own scientific research advantages with regional agglomeration industry advantages, and build a professional cluster with the characteristics of industry-education integration. On the other hand, it is necessary to improve the industry-university-research collaborative support and guarantee mechanism, improve the collaborative operation and talent Improve training efficiency, further improve the supervision and management mechanism, strengthen the government's guidance and supervision role, monitor and evaluate the implementation of industry-university-research collaboration, provide timely feedback to all collaborative entities, and correct deviations, so as to help cultivate more innovative talents that connect with the actual industry and realize a virtuous cycle of education, technology, and talents. The competition platform for industry-education collaboration is built by universities, enterprises, scientific research institutions and other parties in the context of industry-education collaboration. It is a competition activity platform for students and scientific researchers. It sets competition themes and tasks around the actual needs of the industry and cutting-edge technological issues, and encourages participants to use the knowledge and skills they have learned to carry out innovative practices and solve practical problems.

[0003] In traditional industry-education collaboration, the inability to effectively clarify the needs of enterprises leads to ambiguity between the time when enterprises put forward their needs and when students subsequently obtain the demand information. In addition, different student teams have different professional capabilities, and it is impossible to effectively match enterprise needs with student teams with corresponding capabilities. This leads to a mismatch between talent training supply and industry demand, resulting in the inability to guarantee the efficiency of solving needs and the positive effects produced, which affects the healthy development of actual industry-education collaboration. Summary of the Invention

[0004] The present invention provides a competition and scientific research platform for industry-education collaboration, which can effectively solve the problem raised in the above background technology that in traditional industry-education collaboration, the needs of enterprises cannot be effectively clarified, resulting in ambiguity between the time when enterprises propose needs and the subsequent acquisition of demand information by students. In addition, different student teams have different professional capabilities, and it is impossible to effectively match enterprise needs with student teams with corresponding capabilities, resulting in a mismatch between talent training supply and industry demand, resulting in the inability to guarantee the efficiency of demand resolution and the positive effects produced, affecting the actual healthy development of industry-education collaboration.

[0005] To achieve the above objectives, the present invention provides the following technical solutions: a competition and scientific research platform for industry-education collaboration, whereby enterprises publish requirements, student teams undertake tasks and submit proposals through the competition platform, integrating academic research, practical skills, and enterprise needs to promote the transformation of technology from competition to scientific research. Furthermore, the platform builds a bridge connecting universities, enterprises, and students, stimulating students' innovation and practical skills through competition, thereby enabling the transformation of technology from competition to scientific research.

[0006] It includes enterprise demand pool, competition management module, academic transformation engine, competition-scientific research transformation module and school-enterprise collaboration module.

[0007] According to the above technical solution, the enterprise demand pool publishes propositions for technical research and provides a platform for publishing enterprise technical research propositions. It also serves as a communication portal for school-enterprise collaboration, collects diverse technical demand information from enterprises, and aims to clarify the technical problems that enterprises need to solve and the research directions they need to conduct.

[0008] Enterprises put forward technical requirements in the form of proposition releases, and focus on technical indicators, data samples and expected results in the requirement information to provide a variety of propositions for students to challenge.

[0009] According to the above technical solution, after the enterprise puts forward its technical needs, the enterprise demand pool needs to classify and process different types of technical information according to their respective types, and label different types of technical information, so that the enterprise can subsequently change and update its needs based on the technical information corresponding to the label information, and further enable the enterprise to match with the student team, based on the classification information and label information, the enterprise demand information can be more accurately allocated to the student team with processing capabilities.

[0010] According to the above technical solution, the competition management module supports the management of the entire competition process, including the release of competition questions, submission of works and automatic review. When the competition questions are released, it supports the configuration of multimedia attachments and dynamic rules. Multimedia attachments include design drawings and data sets, and dynamic rule configuration includes number restrictions and file formats.

[0011] According to the above technical solution, the automatic review includes code standardization detection and performance evaluation;

[0012] The code standardization detection is to evaluate the code quality through static code analysis tools;

[0013] The performance evaluation verifies the effectiveness of the scheme by constructing a simulation environment.

[0014] According to the above technical solution, the academic conversion engine automatically reconstructs the technical solutions submitted in the competition into academic paper templates, simplifying the writing process from competition works to academic papers;

[0015] Specifically, NLP technology is used to parse the documents of the competition proposals and identify the technical points within the documents. The preset LaTeX template is called to generate a structured paper framework, which is automatically matched to the format specifications of the target journals and conferences and the reviewer preferences.

[0016] According to the above technical solution, the academic conversion engine also includes academic compliance verification during the academic conversion process. The compliance verification mainly detects citation specifications and repetition rates, and generates a duplicate check report after verification, so that the academic conversion can meet the needs of scientific research and academic exchanges, providing the research team with a convenient paper submission and publication channel, shortening the timeliness of paper publication.

[0017] According to the above technical solution, the competition-scientific research transformation module includes the following steps:

[0018] Step 1: Students submit their competition proposals, including target detection algorithms, through the competition platform. The system automatically identifies and extracts the core innovations of the competition proposals. Core innovations are the key content and highlights of the paper. The extracted content is then parsed and converted into standardized components.

[0019] Step 2: Generate a paper draft by calling a preset LaTeX template and recommend matching academic conferences;

[0020] When generating a paper draft, the system automatically generates a preliminary draft of the scientific research paper based on the extracted innovative points, ensuring that the draft meets the standards and format requirements of academic research. It also recommends relevant academic conferences or journals and provides specific submission suggestions.

[0021] Step 3: The instructor reviews the paper draft online. The specific review process includes reviewing the content completeness, logical correctness, and innovation of the paper draft;

[0022] After the draft paper is reviewed and approved, it will be archived and marked with a timestamp. After marking, it will be directly submitted to the journal or conference system using the smart contract mechanism.

[0023] According to the above technical solution, the school-enterprise collaboration module means that enterprise mentors publish horizontal project requirements through the platform. When publishing requirements, they attach technical requirements documents and match them with student teams through automatic recommendation. During the automatic recommendation and matching, identification and recommendation are made based on historical competition data and skill tags.

[0024] After the student team accepts the task online, they use the development environment provided by the enterprise on the platform. The intellectual property rights of the results are allocated through smart contracts. That is, the smart contract is automatically triggered when the results are delivered, and the property rights are allocated according to various distribution models based on preset rules.

[0025] Specifically, when publishing horizontal project requirements, corporate mentors publish specific technical topics through the platform, and student teams sign up to undertake them, which promotes the effective connection between corporate needs and student research interests, and improves the practicality and market competitiveness of research results.

[0026] According to the above technical solution, when distributing intellectual property rights through smart contracts, the school-enterprise collaboration module automatically distributes the intellectual property rights of research results through smart contract technology, making the ownership of research discoveries and innovative results more clear and fair, protecting the rights and interests of participants, and encouraging more practical cooperation.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. Through the enterprise demand pool, different types of technical information are classified and processed according to their respective types, and different types of technical information are labeled, so that the enterprise technical needs can be classified and individually labeled, which makes it convenient to more accurately allocate enterprise demand information to student teams with processing capabilities based on classification information and label information, improve the matching accuracy between demand and student team capabilities, reduce information asymmetry, avoid mismatches, and support enterprises to update and adjust demand information in real time to ensure that technical research propositions are always synchronized with the actual needs of enterprises and adapt to technological changes. In addition, the enterprise demand pool serves as a communication portal between schools and enterprises, simplifying the process of enterprises publishing needs and student teams responding, clarifying the technical problems that enterprises need to solve and the directions that need to be researched, and effectively promoting efficient docking of cross-organizational collaboration.

[0029] 2. The competition management module facilitates the management of the entire competition process and can integrate the publication of competition questions, submission of works, and automatic review, thereby reducing manual intervention, improving competition organization efficiency, and reducing management costs. It also supports the configuration of multimedia attachments and dynamic rules to meet the personalized needs of competitions in different fields and enhance the applicability of the platform. At the same time, it implements automatic review based on code standardization detection and performance evaluation, realizes the evaluation of code quality and verification of solution effectiveness, further ensures the objectivity of review results, and reduces subjective bias.

[0030] 3. The academic conversion engine can use NLP technology to parse the documents of the competition plan and call the preset LaTeX template to generate a structured paper framework. It also uses automatic matching to match the format specifications and reviewer preferences of the target journal and conference, thereby shortening the conversion cycle from technical practice to academic results. Through academic compliance verification, the academic conversion can meet the needs of scientific research and academic exchanges, providing a convenient paper submission and publication channel for the research team and shortening the timeliness of paper publication.

[0031] 4. The competition-scientific research conversion module can automatically identify and extract the important content and core innovations of the competition proposal, and convert the extracted content into standardized components after analysis, so as to provide reliable technical materials for subsequent scientific research. By calling the preset LaTeX template, it is convenient to generate paper drafts and recommend matching academic conferences, thereby reducing unnecessary operations and ensuring the synergy between competition results and academic papers. In addition, the tutor will review the content integrity, logical correctness and innovation of the paper draft online to ensure the quality of the paper. At the same time, the smart contract is used for automatic archiving and submission to achieve transparency in the distribution of results.

[0032] 5. Through the school-enterprise collaboration module, when corporate mentors publish horizontal project requirements through the platform, they can identify and recommend based on historical competition data and skill tags, and match them with student teams in an automatic recommendation matching manner to improve the success rate of cooperation. In addition, intellectual property rights are automatically allocated through smart contracts to balance the deserved rights and interests between enterprises, schools and students, facilitate more clear and fair distribution, and encourage more practical cooperation.

[0033] To sum up, the enterprise demand pool and competition management modules can effectively solve the problem of demand matching in industry-education collaboration, while the academic transformation engine and competition-scientific research transformation module realize the transformation of competition and scientific research results. The school-enterprise collaboration module uses the smart contract mechanism to ensure the distribution of rights and interests and promote the sustainability of industry-education collaboration. Specifically, enterprises publish technical requirements and students submit solutions through the competition platform, which facilitates the automatic generation of academic papers and the allocation of intellectual property rights. The results conversion rate of school-enterprise cooperation projects is high, realizing the intelligent integration of educational resources and industry-education collaborative innovation, and has significant technological advancement and application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0035] Figure 1 This is a flow chart of the industry-education collaborative competition and scientific research platform of the present invention;

[0036] Figure 2 It is a schematic diagram of the composition of the industry-education collaborative competition and scientific research platform of the present invention;

[0037] Figure 3 It is a flow chart of the steps of competition-scientific research transformation of the present invention. DETAILED DESCRIPTION

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0039] Example: Figure 1-2 As shown, the present invention provides a technical solution, a competition and scientific research platform for industry-education collaboration. Enterprises publish their needs, and student teams take on tasks and submit solutions through the competition platform. This integrates academic research, practical skills, and enterprise needs to promote the transformation of technology from competition to scientific research. The platform builds a bridge connecting universities, enterprises, and students, stimulates students' innovation and practical skills through competition, and enables the transformation of technology from competition to scientific research.

[0040] It includes enterprise demand pool, competition management module, academic transformation engine, competition-scientific research transformation module and school-enterprise collaboration module.

[0041] Based on the above technical solutions, the enterprise demand pool publishes technical research propositions, provides a platform for publishing enterprise technical research propositions, and serves as a communication portal for school-enterprise collaboration, collecting diverse technical demand information from enterprises, aiming to clarify the technical problems that enterprises need to solve and the research directions they need to conduct;

[0042] Enterprises put forward technical requirements in the form of proposition releases, and focus on technical indicators, data samples and expected results in the requirement information to provide a variety of propositions for students to challenge.

[0043] Based on the above technical solution, after the enterprise proposes technical requirements, the enterprise demand pool needs to classify and process different types of technical information according to their respective types, and label different types of technical information, so that the enterprise can subsequently change and update the requirements based on the technical information corresponding to the label information. Further, when matching the enterprise with the student team, based on the classification information and label information, the enterprise demand information can be more accurately allocated to the student team with processing capabilities.

[0044] Based on the above technical solution, the competition management module supports the management of the entire competition process, including the release of competition questions, submission of works and automatic review. When the competition questions are released, it supports the configuration of multimedia attachments and dynamic rules. Multimedia attachments include design drawings and data sets, while dynamic rule configuration includes number restrictions and file formats.

[0045] Based on the above technical solutions, automatic review includes code standardization detection and performance evaluation;

[0046] Code standardization detection is to evaluate code quality through static code analysis tools;

[0047] Performance evaluation verifies the effectiveness of the solution by building a simulation environment.

[0048] Based on the above technical solutions, the academic conversion engine automatically reconstructs the technical solutions submitted in the competition into academic paper templates, simplifying the process of writing from competition works to academic papers;

[0049] Specifically, NLP technology is used to parse the documents of the competition proposals and identify the technical points within the documents. The preset LaTeX template is called to generate a structured paper framework, which is automatically matched to the format specifications of the target journals and conferences and the reviewer preferences.

[0050] Based on the above technical solution, the academic conversion engine also includes academic compliance verification during the academic conversion process. The compliance verification mainly detects citation standards and repetition rates, and generates a duplicate check report after verification, so that the academic conversion can meet the needs of scientific research and academic exchanges, providing the research team with a convenient paper submission and publication channel, shortening the timeliness of paper publication.

[0051] like Figure 3 As shown, based on the above technical solution, the competition-scientific research transformation module includes the following steps:

[0052] Step 1: Students submit their competition proposals, including target detection algorithms, through the competition platform. The system automatically identifies and extracts the core innovations of the competition proposals. Core innovations are the key content and highlights of the paper. The extracted content is then parsed and converted into standardized components.

[0053] Step 2: Generate a paper draft by calling a preset LaTeX template and recommend matching academic conferences;

[0054] When generating a paper draft, the system automatically generates a preliminary draft of the scientific research paper based on the extracted innovative points, ensuring that the draft meets the standards and format requirements of academic research. It also recommends relevant academic conferences or journals and provides specific submission suggestions.

[0055] Step 3: The instructor reviews the paper draft online. The specific review process includes reviewing the content completeness, logical correctness, and innovation of the paper draft;

[0056] After the draft paper is reviewed and approved, it will be archived and marked with a timestamp. After marking, it will be directly submitted to the journal or conference system using the smart contract mechanism.

[0057] Based on the above technical solution, the school-enterprise collaboration module means that enterprise mentors can publish horizontal project requirements through the platform. When publishing requirements, they attach technical requirements documents and match them with student teams through automatic recommendation. During the automatic recommendation, the matching is based on historical competition data and skill tags.

[0058] After the student team accepts the task online, they use the development environment provided by the enterprise on the platform. The intellectual property rights of the results are allocated through smart contracts. That is, the smart contract is automatically triggered when the results are delivered, and the property rights are allocated according to various distribution models based on preset rules.

[0059] Specifically, when publishing horizontal project requirements, corporate mentors publish specific technical topics through the platform, and student teams sign up to undertake them, which promotes the effective connection between corporate needs and student research interests, and improves the practicality and market competitiveness of research results.

[0060] Based on the above technical solution, when allocating intellectual property rights through smart contracts, the school-enterprise collaboration module automatically allocates the intellectual property rights of research results through smart contract technology, making the ownership of research discoveries and innovative results more clear and fair, protecting the rights and interests of participants and encouraging more practical cooperation.

[0061] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0062] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only intended to help understand the method and core concept of the present invention. At the same time, those skilled in the art will find that the specific implementation methods and application scopes may vary based on the concept of the present invention. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims

1. A competition and scientific research platform for industry-education collaboration, characterized by: Through the release of corporate requirements, student teams undertake tasks and submit proposals through the competition platform, integrating academic research, practical skills, and corporate needs. The platform builds a bridge connecting universities, companies, and students, stimulating students' innovation and practical skills through competitions, and enabling the transformation of technology from competition to scientific research. It includes enterprise demand pool, competition management module, academic transformation engine, competition-scientific research transformation module and school-enterprise collaboration module.

2. The industry-education collaborative competition and scientific research platform according to claim 1, characterized by: The enterprise demand pool publishes propositions for technical research and provides a platform for publishing propositions for enterprise technical research. It also serves as a communication portal for school-enterprise collaboration, collects diverse technical demand information from enterprises, and aims to clarify the technical problems that enterprises need to solve and the research directions they need to conduct. Enterprises put forward technical requirements in the form of proposition release, and focus on technical indicators, data samples and expected results in the requirement information, providing a variety of propositions for students to challenge.

3. The industry-education collaborative competition and scientific research platform according to claim 1, characterized in that: After an enterprise puts forward its technical requirements, the enterprise demand pool needs to classify and process different types of technical information according to their respective types, and label different types of technical information, so that the enterprise can subsequently change and update its requirements based on the technical information corresponding to the label information. Further, when matching the enterprise with the student team, the enterprise demand information can be more accurately allocated to the student team with processing capabilities based on the classification information and label information.

4. The industry-education collaborative competition and scientific research platform according to claim 1, characterized in that: The competition management module supports the management of the entire competition process, including the release of competition questions, submission of works and automatic review. When the competition questions are released, it supports the configuration of multimedia attachments and dynamic rules. Multimedia attachments include design drawings and data sets, while dynamic rule configuration includes number restrictions and file formats.

5. The industry-education collaborative competition and scientific research platform according to claim 4, characterized in that: The automatic review includes code standardization detection and performance evaluation; The code standardization detection is to evaluate the code quality through static code analysis tools; The performance evaluation verifies the effectiveness of the scheme by constructing a simulation environment.

6. The industry-education collaborative competition and scientific research platform according to claim 1, characterized in that: The academic conversion engine automatically reconstructs the technical solutions submitted in the competition into academic paper templates, simplifying the process of writing from competition works to academic papers; Specifically, NLP technology is used to parse the documents of the competition proposals and identify the technical points within the documents. The preset LaTeX template is called to generate a structured paper framework, and the format specifications of the target journals and conferences and the reviewer preferences are matched through automatic matching.

7. The industry-education collaborative competition and scientific research platform according to claim 6, characterized in that: During the academic conversion process, the academic conversion engine also includes academic compliance verification. The compliance verification mainly detects citation standards and repetition rates, and generates a duplicate check report after verification, so that the academic conversion can meet the needs of scientific research and academic exchanges, providing the research team with a convenient paper submission and publication channel, shortening the timeliness of paper publication.

8. The industry-education collaborative competition and scientific research platform according to claim 1, characterized in that: The competition-scientific research transformation module includes the following steps: Step 1: Students submit their competition proposals, including target detection algorithms, through the competition platform. The system automatically identifies and extracts the core innovations of the competition proposals. Core innovations are the key content and highlights of the paper. The extracted content is then parsed and converted into standardized components. Step 2: Generate a paper draft by calling a preset LaTeX template and recommend matching academic conferences; When generating a paper draft, the system automatically generates a preliminary draft of the scientific research paper based on the extracted innovative points, ensuring that the draft meets the standards and format requirements of academic research. It also recommends relevant academic conferences or journals and provides specific submission suggestions. Step 3: The instructor reviews the paper draft online. The specific review process includes reviewing the content completeness, logical correctness, and innovation of the paper draft; After the draft paper is reviewed and approved, it will be archived and marked with a timestamp. After marking, it will be directly submitted to the journal or conference system using the smart contract mechanism.

9. The industry-education collaborative competition and scientific research platform according to claim 1, characterized in that: The school-enterprise collaboration module refers to the enterprise mentors publishing horizontal project requirements through the platform. When publishing the requirements, they attach technical requirements documents and match them with student teams through automatic recommendation. During the automatic recommendation, the matching is based on historical competition data and skill tags for identification and recommendation. After the student team accepts the task online, they use the development environment provided by the enterprise on the platform. The intellectual property rights of the results are allocated through smart contracts. That is, the smart contract is automatically triggered when the results are delivered, and the property rights are allocated according to various distribution models based on preset rules. Specifically, when publishing horizontal project requirements, corporate mentors publish specific technical topics through the platform, and student teams sign up to undertake them, promoting the effective connection between corporate needs and student research interests.

10. The industry-education collaborative competition and scientific research platform according to claim 9, characterized in that: When allocating intellectual property rights through smart contracts, the school-enterprise collaboration module automatically allocates the intellectual property rights of research results through smart contract technology, making the ownership of research discoveries and innovative results more clear and fair, protecting the rights and interests of participants, and encouraging more practical cooperation.

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