物联网与大数据驱动下的智能五金生产优化  

Intelligent hardware production optimization driven by Internet of Things and big data

作　　者：毕志鹏 BI Zhipeng(Runying Polymerization Machinery Manufacturing(Shenyang)Co.,LTD.,Shenyang 110000)

机构地区：[1]润英聚合机械制造(沈阳)有限公司,辽宁沈阳110000

出　　处：《五金科技》2025年第2期54-57,共4页Hardware

摘　　要：随着工业4.0时代的到来,物联网与大数据技术在制造业中的应用日益广泛。针对传统五金制造业中存在的生产效率低、质量控制难度大、能源利用率低等问题,通过物联网感知技术对生产环节进行全面监控,结合大数据分析技术对生产数据进行深度挖掘,建立了智能五金生产优化体系。研究表明,物联网与大数据的深度融合应用能有效提升生产自动化水平,实现产品质量的精准控制,优化能源管理效率,并支持设备预测性维护,为五金制造业的智能化转型提供了可行路径。With the advent of the Industry 4.0 era,the Internet of Things and big data technology are increasingly widely used in the manufacturing industry.In view of the problems of low production efficiency,difficult quality control and low energy utilization in the traditional hardware manufacturing industry,the production link is comprehensively monitored through the Internet of Things perception technology,and the production data is deeply mined combined with big data analysis technology,and the intelligent hardware production optimization system is established.The research shows that the deep integration of the Internet of Things and big data can effectively improve the level of production automation,achieve accurate control of product quality,optimize energy management efficiency,and support predictive maintenance of equipment,providing a feasible path for the intelligent transformation of the hardware manufacturing industry.

关 键 词：物联网技术 大数据 智能制造 五金生产 生产优化 

分 类 号：TP216[自动化与计算机技术—检测技术与自动化装置]