摘要
本文针对电解铝生产管理优化的问题,详细分析了当前电解铝生产管理的现状及存在的问题,并在此基础上提出了基于信息化系统的电解铝生产管理优化方法。首先,针对数据采集与处理不足的问题,本文优化了数据采集设备与方法,并对数据进行清洗、预处理和分析。其次,对信息化系统与生产过程融合不畅的问题进行了优化,包括在生产调度、生产监控和设备维护中应用信息化系统。最后,引入人工智能技术,如机器学习、深度学习等,提升电解铝生产管理的智能化水平。通过案例分析,证明了优化后的信息化系统在提高生产效率、降低能耗、提升产品质量和降低设备故障率等方面的效果显著。本文的研究成果有助于推动电解铝生产管理的现代化进程,为相关行业提供有益的参考。
This paper focuses on the optimization of electrolytic aluminum production management,analyzes in detail the current situation and existing problems of electrolytic aluminum production management,and proposes an optimization method for electrolytic aluminum production management based on information systems.Firstly,in response to the problem of insufficient data collection and processing,this paper optimized the data collection equipment and methods,and cleaned,preprocessed,and analyzed the data.Secondly,the problem of poor integration between information systems and production processes has been optimized,including the application of information systems in production scheduling,production monitoring,and equipment maintenance.Finally,the introduction of artificial intelligence technologies such as machine learning and deep learning can enhance the intelligence level of electrolytic aluminum production management.Through case analysis,it has been proven that the optimized information system has significant effects in improving production efficiency,reducing energy consumption,improving product quality,and reducing equipment failure rates.The research results of this paper contribute to promoting the modernization process of electrolytic aluminum production management and provide useful references for related industries.
作者
肖文富
XIAO Wenfu(Tianshan Aluminum Industry Group Co.,Ltd.,Shanghai 200120,China)
出处
《科技创新与生产力》
2024年第2期83-86,共4页
Sci-tech Innovation and Productivity
关键词
电解铝生产管理
信息化系统
数据采集与处理
人工智能
优化方法
electrolytic aluminum production management
information system
data collection and processing
artificial intelligence
optimization method
