面向智能家居应用的物联网“场景分解式”实训设计  

“Scene decomposition”training design of the Internet of Things for smart home applications

作　　者：崔晓龙[1] 边胜琴[1] 皇甫伟[1] 郑榕[1] 张敏[1] CUI Xiaolong;BIAN Shengqin;HUANGFU Wei;ZHENG Rong;ZHANG Min(School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China)

机构地区：[1]北京科技大学计算机与通信工程学院,北京100083

出　　处：《实验技术与管理》2023年第5期171-175,195,共6页Experimental Technology and Management

基　　金：国家自然科学基金项目(61971033);北京科技大学重大教学改革项目(JG2019ZD02);北京科技大学教学改革项目(JG2021M32)。

摘　　要：通过PacketTracer模拟物联网智能家居场景,并将所涉及的理论知识进行分解后纳入实训课程,使学生能够循序渐进地掌握智能设备、网络、物联网等方面知识和技术,同时理解雾计算的概念以及在智能家居场景中选择雾计算的必要性,培养解决物联网工程领域复杂工程问题的能力。Through Packet Tracer to simulate the smart home scenario of the Internet of Things,and decompose the theoretical knowledge involved into the training course,so that students can gradually master the knowledge and technology of intelligent devices,networks,the Internet of Things and other aspects,understand the concept of fog computing and the necessity of selecting fog computing in the smart home scenario,and cultivate the ability to solve complex engineering problems in the field of the Internet of Things.

关 键 词：物联网 实践教学改革 场景分解 雾计算 智能家居 Packet Tracer 

分 类 号：G642.0[文化科学—高等教育学]