摘要
随着焊接方式和焊接施工场景的不断拓展,焊接过程的监管难度也随之增加。为此,设计了一套基于5G通信的焊接设备远程监控系统。采用该系统可远程实时监控多个地点的多种焊接设备的工作状态和位置信息,获取焊接电流、焊接电压、送丝速度、气体流量等多种信息,实现焊接过程的实时监控和焊后的追溯分析等。5G通信技术的应用使得系统在网络结构便利性、实时性、稳定性、安全性等方面均优于传统网络形式。而采用智能工厂的建设思维开发了整套焊接设备远程监控软件系统,打造了网络化、集约化、数字化、智能化的焊接制造新模式,有利于提升焊接制造管理水平,降低焊接成本。该系统在多台焊接设备中的应用效果表明,其具有运行稳定、功能全面、数据传送实时性好等特点,应用前景良好。
With the continuous expansion of welding methods and welding construction scenarios,the difficulty of monitoring the welding process has also increased.For this reason,this paper designs a remote monitoring system for welding quality based on 5G communication.The system can remotely monitor the working status and position information of various welding equipment in multiple locations in real time,and obtain various information such as welding current,welding voltage,wire feeding speed,gas flow and so on.Realize real-time monitoring of the welding process and retrospective analysis after welding.Due to the application of 5G communication technology,the system is superior to traditional network forms in terms of network structure convenience,real-time performance,stability,and security.Adopting the thinking of building a smart factory,a complete software system has been developed to create a new networked,intensive,digital,and intelligent welding manufacturing model,which is conducive to improving welding quality and efficiency and reducing welding costs.The application of the system in multiple welding equipment of large power plant equipment manufacturing enterprises shows that the system has the characteristics of stable operation,comprehensive functions,and good real-time data transmission,and is worthy of popularization and application.
作者
董娜
陈弈
黄安立
吴海峰
金宝
杨霄
DONG Na;CHEN Yi;HUANG Anli;WU Haifeng;JIN Bao;YANG Xiao(DEC Academy of Science and Technology Co.,LTD.,Chengdu 611731,China;DEC Dongfang Turbine Co.,LTD.,Deyang 618000,China;DEC Electrical Machinery Co.,LTD.,Deyang 618000,China)
出处
《电焊机》
2022年第1期7-16,共10页
Electric Welding Machine
关键词
5G通信
焊接设备
远程监控
数字化
5G communication
welding equipment
remote monitoring
digitalization