物联网大数据系统中汇聚层嵌入系统的软件模型分析  

Software Model Analysis of Embedded System of Convergence Layer based on the Big Data System of Internet of Things

作　　者：刘平 LIU Ping(Department of Information Engineering,Xiamen Xingcai Vocational and Technical College,Xiamen 361024,China)

机构地区：[1]厦门兴才职业技术学院信息工程系,福建厦门361024

出　　处：《成都工业学院学报》2023年第4期72-75,共4页Journal of Chengdu Technological University

摘　　要：为了提高物联网大数据系统在处理海量数据时的效率和性能,减少系统资源的消耗,同时提高系统的可靠性、稳定性和可维护性,研究了物联网大数据系统中汇聚层嵌入系统的软件模型优化策略。通过对嵌入系统软件的数据接口、数据算法、服务模式进行模型优化,充分优化数据传输过程和数据处理过程。仿真分析发现,该模型在差动保护、逻辑压板接地、远程闭锁测试中的响应周期比硬件系统独立软件响应周期提升了300%、400%、400%,比常规硬件布局响应周期提升了600%、700%、700%,可知此模型的优化过程充分缩短了系统响应周期,且对嵌入系统硬件占用率、物联网带宽占用率、中央数据机房核心交换机占用率有充分优化效果。In order to improve the efficiency and performance of the IoT big data system when processing massive data,reduce the consumption of system resources,and improve the reliability,stability and maintainability of the system,the optimization strategy of the software model of the embedded system of convergence layer in the IoT big data system was studied.By optimizing the data interface,data algorithm,and service mode of the embedded system software,the data transmission process and data processing process were fully optimized.Simulation analysis shows that the corresponding period of the model in differential protection,logic strap grounding,and remote locking tests has increased by 300%,400%,and 400%compared to the corresponding period of the independent software of the hardware system,and has increased by 600%,700%,and 700%compared to the corresponding period of the conventional hardware layout.It can be seen that the optimization process of this model fully shortens the system response period,and has an impact on the hardware occupancy rate of the embedded system and the bandwidth occupancy rate of the Internet of Things.The occupancy rate of the core switch in the central data room has been fully optimized.

关 键 词：大数据 嵌入系统 软件模型 物联网 仿真分析 

分 类 号：TM425[电气工程—电器]