基于深度学习的高校信息化管理智能化服务研究
Research on Intelligent Service of University Information Management Based on Deep Learning
王皓立1
作者信息
摘要
随着高校信息化的发展,基于深度学习的高校信息化管理智能化服务成为趋势.基于高校信息化管理的功能、性能与安全需求,设计包括学生学习、教师教学、教学资源与校园安全管理等内容的系统功能和高性能服务器、传感器、存储设备与网络设备的系统硬件,提出用户身份认证、数据加密传输、系统访问控制与安全监测与预警等安全设计方案.通过系统测试结果显示,该系统能够显著提升高校管理的效率与服务质量,为师生提供更加个性化、高效的服务体验,实现了从学习到教学、资源管理到校园安全的全面智能化覆盖.融合更多先进技术,实现更精准的决策支持与预测分析,加强跨系统集成能力,有助于进一步优化智慧校园生态,推动高校信息化管理向更加智慧、人性的方向发展.
Abstract
With the development of university informatization,intelligent service based on deep learning has become popular.The study analyzes the functions,performance and security requirements of university information management;designs a system including student learning,teacher teaching,teaching resources and campus security management;designs hardware from high-performance servers,sensors,storage devices and network devices;and proposes security design schemes,such as user identity authentication,data encryption transmission,system access control and security monitoring and early warning,etc.The system test results show that the system can significantly improve the management efficiency and service quality of colleges and universities,provide teachers and students with more personalized and efficient service experience,and realize the comprehensive intelligent coverage from learning to teaching,resource management to campus security.It is suggested to integrate more advanced technologies,realize more accurate decision support and predictive analysis,and strengthen cross-system integration capabilities,so as to further optimize the smart campus ecology and promote the development of education management to a more intelligent and humanized direction.
关键词
深度学习/高校信息化管理/智能化服务/需求分析/系统实现Key words
Deep learning/University information management/Intelligent service/Demand analysis/System imple-mentation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据