基于物联网的高校国有资产管理平台设计方案研究

Research on the Design Scheme of the University State-Owned Asset Management Platform Based on the Internet of Things

  • 摘要: 该文对当前高校国有资产管理进行了深入分析,探讨了其特点、现状及信息化发展。研究发现,高校国有资产管理以实物管理为基础,强调账实相符,采用“统筹+归口”管理模式。然而,信息化程度参差不齐,存在重业务轻数据、重局部轻整合、重软件轻硬件、重人管轻“智”管、重管理轻服务等问题。为解决这些问题,该文通过制作调查问卷,对教育部部属高校进行了调研,分析了目前高校国有资产管理的主要问题,并以某东部高校布署的基于物联网的资产管理系统为例,进行了分析,提出了基于物联网的高校国有资产管理平台设计方案,包括分层架构设计、感知层优化、网络层拓展、数据层丰富和应用层界面设计。方案强调标准化信号、一体化感知设备部署、灵活分期实施、网络层技术拓展、数据处理工具植入、数据输出丰富化以及个性化界面设计。通过对系统日志数据的挖掘,强化管理辅助。该文旨在通过物联网技术提升高校国有资产管理水平,提高资产使用效率,为实践提供参考和持续优化的方向。

     

    Abstract: An in-depth analysis of current state-owned asset management in higher education institutions is conducted, with its characteristics, current status, and informatization development being explored in this paper. It is revealed that university state-owned asset management is grounded in physical custodianship, emphasizes the alignment of accounts with physical assets, and adopts a management model of “centralized coordination and categorized oversight” . However, the level of informatization varies significantly, manifesting as a tendency to prioritize business operations over data management, emphasize localized solutions over systematic integration, favor software applications over hardware infrastructure, rely on human oversight over intelligent management, and focus on administrative control over service delivery. To address these challenges, a survey is conducted through questionnaires among universities under the Ministry of Education, analyzing the main challenges in current university state-owned asset management. Through a case analysis of an IoT-based asset management system deployed in an eastern Chinese university, a design scheme for a university state-owned asset management platform based on the Internet of Things is proposed, incorporating a hierarchical structure design, perception layer optimization, network layer expansion, data layer enrichment, and application layer interface design. The scheme emphasizes standardized signal protocols, deployment of integrated sensing devices, flexible phased implementation, network layer technological expansion, integration of data processing tools, diversified data output, and personalized interface design. Furthermore, management assistance is enhanced through system log data mining. This paper aims to improve university state-owned asset management and enhance asset utilization efficiency through IoT technology, thereby providing a practical reference and a direction for continuous optimization.

     

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