摘要
随着物联网技术的发展,高校物联网实验需要结合更多场景应用,使学生能够理解物联网的层次结构和多样需求。基于人流量智能统计分析、物联网图像采集、人脸识别统计、人流量参数分析等实验过程,提供完整的端到端的SERVERLESS架构实验平台。实验能够通过Raspberry Pi平台、物联网平台,基于人脸识别技术,实现MySQL、Data V数据可视化工具联动,设计完整的物联网实验教学流程。实验过程中,学生通过实际工程实施过程的硬件控制、软件编写,深刻理解物联网技术和完整的开发流程,加强设计创新动手能力。
With the development of Internet of Things(IoT)technology,IoT experiments in colleges and universities need to be combined with more scenarios to enable students to understand the hierarchical structure and diverse needs of IoT.Based on the experimental process of intelligent traffic statistics analysis,IoT image acquisition,face recognition statistics,and traffic parameter analysis,a complete end-to-end SERVERLESS architecture experimental platform is provided.The experiment can realize the linkage of MySQL and DataV data visualization tools based on face recognition technology through Raspberry Pi platform and Internet of Things platform,and design a complete experimental teaching process of IoT.During the experiment,the students have a deep understanding of the IoT technology and the complete development process through the hardware control and software compilation of the actual engineering implementation process,so as to strengthen the practical ability of design innovation.
作者
孙亮
刘文杰
王洁
SUN Liang;LIU Wenjie;WANG Jie(School of Software Technology,Dalian University of Technology,Dalian 116621,China)
出处
《实验室科学》
2024年第2期63-68,共6页
Laboratory Science
基金
国家自然科学基金(项目编号:61175062)。