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徐德进. 基于云智能焊接管控的大数据分析系统设计[J]. 电焊机, 2018,48(10):21-25.
XU Dejin. Design of large data analysis system based on cloud intelligent welding control[J]. 2018,48(10):21-25.
焊接制造过程的工艺与焊接产品质量息息相关,决定着产品将来的服役性能。焊接制造中关键的工艺参数,如焊接电流、电压、速度、气体流量等具有实时性、海量性等特点,为快速准确地获取焊接工艺参数带来了巨大挑战。此外,目前,焊接生产制造过程大多仍以人工操作为主,因此焊接制造中的人、机、物料等的管理难度高,是制约焊接作业过程管控向数字化、智能化发展的关键问题。随着工业4.0的到来,开发智能化的焊接工艺采集终端、利用网络技术远程实时传输焊接过程数据,并通过大数据分析手段建立了基于云端的焊接智能化集群管理系统,实现焊接作业全过程的质量与生产管理,提高焊接作业的精益管理能力,确保焊接质量,追踪焊接质量问题,推动提高焊接制造的节能降耗水平,为保障焊接装备的高效智能制造提供了有力支持。
The process of welding manu facturing process is closely related to the quality of welding products,and determines the future service performance of products. The key process parameters in welding manufacturing,such as welding current,voltage,speed,gas flow,etc. have the characteristics of real-time and mass,which poses a great challenge to obtain the welding process parameters quickly and accurately. In addition,at present,most of the welding manufacturing process is still manual operation,so the welding manufacturing process is still in the process of welding manufacturing. Man,machine and material management is difficult,which is the key problem to restrict the development of digital and intelligent welding process control. With the advent of industry 4.0,the intelligent welding process acquisition terminal is developed,and the welding process data is transmitted remotely and real-time by network technology. By means of large data analysis,a cloud-based intelligent welding cluster management system is established to realize the quality and production management of the whole welding process and improve the precision of welding operation. Benefit management ability,ensure welding quality,track welding quality problems,promote the level of energy saving and consumption reduction in welding manufacturing,provide a strong support for efficient and intelligent manufacturing of welding equipment.
焊接管控云技术大数据焊接电源
welding management and controlcloud technologybig datawelding power source
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