工业物联网环境下的实时数据采集与传输优化技术研究  

Research on Real-time Data Acquisition and Transmission Optimization Technologies in Industrial IoT Environments

作　　者：谢添 王清璇 XIE Tian;WANG Qingxuan(Jiaozuo University,Jiaozuo,Henan 454000,China)

机构地区：[1]焦作大学,河南焦作454000

出　　处：《移动信息》2025年第2期256-257,267,共3页Mobile Information

摘　　要：文中研究了工业物联网环境下的实时数据采集与传输技术.通过自适应采样、事件驱动采样、MQTT和CoAP协议优化、数据压缩与加密等策略,显著提升了系统的性能.实验结果显示,这些优化策略有效降低了数据采集频率和传输延迟,减少了带宽占用,降低了数据丢包率,提升了数据处理效率.其中,数据压缩与加密技术在提升传输性能的同时保持了数据的安全性,为工业物联网中的数据传输提供了实用的优化方案,具有一定的应用价值.In this paper,real-time data collection and transmission technologies in the industrial Internet of Things environment are studied.Through strategies such as adaptive sampling,event-driven sampling,MQTT and CoAP protocol optimization,data compression and encryption,the system performance is significantly improved.Experimental results show that these optimization strategies effectively reduce data collection frequency and transmission delay,reduce bandwidth occupation,reduce data packet loss rate,and improve data processing efficiency.Among them,data compression and encryption technologies improve transmission performance while maintaining data security,providing practical optimization solutions for data transmission in industrial Internet of Things,and have certain application value.

关 键 词：工业物联网 实时数据采集 数据传输优化 自适应采样 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]