Research on Real-Time Data Governance Framework for Industry-Education Integration Based on Edge Computing

Industry-education fusion is a key model to promote collaborative innovation between education and industry. In view of the lack of real-time data, high security risk, and inefficient resource management in the traditional industry-industry fusion scenario, this paper proposes a real-time data governance framework for industry-industry fusion based on edge computing. The framework adopts the layered architecture design of “edge-network-platform-application”, and realizes the localized closed loop of data collection, processing, analysis, and decision-making using data pre-processing at edge nodes, utilization of data resources in the cloud, and data sharing for education-industry collaboration. The research results show that the framework has significant advantages in real-time, data security, and resource utilization efficiency, which can effectively improve the data governance capability under the industry-education integration scenario and provide strong technical support for the deep integration of education and industry.

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Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1145/3760023.3760047
Primary Topic
Advanced Mathematical Theories and Applications
Type
article
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Research on Real-Time Data Governance Framework for Industry-Education Integration Based on Edge Computing

Advanced Mathematical Theories and Applications
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Research on Real-Time Data Governance Framework for Industry-Education Integration Based on Edge Computing

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Abstract

Industry-education fusion is a key model to promote collaborative innovation between education and industry. In view of the lack of real-time data, high security risk, and inefficient resource management in the traditional industry-industry fusion scenario, this paper proposes a real-time data governance framework for industry-industry fusion based on edge computing. The framework adopts the layered architecture design of “edge-network-platform-application”, and realizes the localized closed loop of data collection, processing, analysis, and decision-making using data pre-processing at edge nodes, utilization of data resources in the cloud, and data sharing for education-industry collaboration. The research results show that the framework has significant advantages in real-time, data security, and resource utilization efficiency, which can effectively improve the data governance capability under the industry-education integration scenario and provide strong technical support for the deep integration of education and industry.

Ningbo City College of Vocational Technology (CN)
Openalex Percentile: Top 50%
Advanced Mathematical Theories and Applications
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