面向泛在物联网的综合信息处理技术研究

Research on comprehensive information processing technologyfor ubiquitous Internet of Things

随着大量各类型设备通过泛在物联网的接入,海量数据的处理需求给高校实验室管理和信息化建设提出了更高的要求。为有效应对上述应用场景的需要,文中提出一种面向局域设备物联网环境的综合信息处理技术方案,该方案融合了泛在物联网和分布式云计算技术,提高了数据处理的灵活性和系统的整体性能。从设备接入与管理的具体需求出发,建立了基于泛在物联网的设备接入策略,并进行分类管理,优化了设备的接入过程与资源分配。同时,针对数据的高效处理需求,引入分布式云计算的数据处理模型,利用云计算的强大计算能力和分布式存储的高效性,实现对海量数据的快速处理和存储。为了验证所提方案的有效性与整体性能,对各类技术方案进行横向对比,实验结果表明,所提方案的设备接入效率可达98.6%,具有较为明显的综合优势。

With the access of a large number of various devices through the ubiquitous Internet of Things(IoT),the massive data processing puts forward higher requirements for laboratory management and information construction in colleges and universities.Therefore,a comprehensive information processing technical solution for IoT environments with local device is proposed to meet the needs of the above application scenarios effectively.In this solution,ubiquitous IoT and distributed cloud computing technologies are integrated to improve the flexibility of data processing and the overall performance of the system.On the basis of specific requirements of device access and management,the device access strategy based on ubiquitous IoT is established,and the classification management is carried out,so as to optimize the device access process and resource allocation.In response to the demand for efficient data processing,a distributed cloud computing data processing model has been introduced,so as to achieve rapid processing and storage of massive data by utilizing the powerful computing ability of cloud computing and the efficiency of distributed storage.In order to verify the validity and overall performance of the proposed solution,the experimental results of horizontal comparison of various technical solutions show that the device access efficiency of the proposed solution can reach 98.6%,so the solution has significant comprehensive advantages.