基于前后端分离的气味数据传输系统的设计

Design of odor data transmission system based on front-end and back-end separation

在物联网时代,如气味等感官数据的数字化和远程传输为技术创新开辟了新途径。文章设计了一个基于前后端分离的气味数据传输系统,该系统包括一个服务器端(包含数据库系统和数据传输模块)以及一个负责接收和解码数据的客户端。应用深度学习技术,特别是自编码器,文章有效地处理了气味数据的独特复杂性,可推动系列应用(包括远程嗅觉感应和数字烹饪等)的发展。

In the era of the Internet of Things,data-driven decisions have carved new paths for innovation,especially in the digitization and remote transmission of sensory data like odors.In response to this demand,this research designed a system for the digitization and remote transmission of odor data based on a client-server architecture.The system design includes a server-side encompassing a database system and data transmission module,as well as a client-side responsible for receiving and decoding the data.Deep learning technologies,particularly autoencoders,have been utilized in the system to effectively handle the unique complexity of odor data.The implementation of this design is anticipated to propel the development of a range of applications,including remote olfactory sensing and digital cooking.