Research on Optimization of Electrolytic Aluminum Production Management Based on Information Systems
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.
electrolytic aluminum production managementinformation systemdata collection and processingartificial intelligenceoptimization method
万方数据
维普
