基于工业物联网的推焦车远程监控系统研究  

Research on Remote Monitoring System of Coke Pusher Based on Industrial Internet of Things

作　　者：刘怀煜 郑爱云 刘伟民 LIU Huai-yu;ZHENG Ai-yun;LIU Wei-min(College of Mechanical Engineering,North China University of Science and Technology,Tangshan 063210,China)

机构地区：[1]华北理工大学机械工程学院,河北唐山063210

出　　处：《机械工程与自动化》2022年第5期174-176,共3页Mechanical Engineering & Automation

摘　　要：炼焦过程中的炉号识别与“四车连锁”是关乎生产安全的重要问题,随着物联网技术和神经网络技术的快速发展,推焦车的监控系统需要装备现代化的技术。为了提高推焦过程的自动化,以工业物联网技术为基础,结合卷积神经网络技术设计了推焦车远程监控系统。采用嵌入式开发板和小型摄像头传感器进行数据采集,通过WiFi通信技术实现与云服务器的数据传输,并设计了基于B/S架构的浏览器显示端,实际应用效果表明该系统可有效实现推焦车的远程监控。The identification of the heat number and the "four-vehicle chain" in the coking process are important issues related to production safety.With the rapid development of IOT and neural network technology, the monitoring system of coke pushers needs to be equipped with modern technology. In order to improve the automation of coke pushing process, the remote monitoring system of coke pushing truck is designed based on industrial IOT technology and convolutional neural network technology. The embedded development board and small camera sensors are used for data acquisition, data transmission with the cloud server is realized through WiFi communication technology, and a browser display terminal based on B/S architecture is designed. The practical application results show that the system can effectively realize remote monitoring of the push coke vehicle.

关 键 词：推焦车 工业物联网 远程监控系统 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]