人工智能技术在有色金属冶炼能源管理中的应用研究  

Research on the Application of Artificial Intelligence Technology in Energy Management of Nonferrous Metal Smelting

作　　者：徐伟[1] 何坤 谷琳[1] XU Wei;HE Kun;GU Lin(China ENFI Engineering Corporation,Beijing 100038,China)

机构地区：[1]中国恩菲工程技术有限公司,北京100038

出　　处：《绿色矿冶》2024年第1期78-82,共5页Sustainable Mining and Metallurgy

摘　　要：节能降耗是有色冶金企业重点关注的问题,加强企业能源管控水平是实现企业节能降耗的重要途径,但由于有色冶金企业生产流程长、工序多、工艺过程复杂,有色冶金企业的能源管控难度较大,利用人工智能技术实现企业合理的能源管控是未来的发展方向。基于此,本文在研究目前有色冶金企业能耗现状和能源管控特点的基础上,分析人工智能技术在有色金属冶炼能源管理中的应用场景和关键技术,为人工智能技术与有色冶金行业的结合提供了基础。Energy conservation and consumption reduction is a key concern for non-ferrous metallurgical enterprises.Strengthening the level of enterprise energy management and control is an important way to achieve energy conservation and consumption reduction.However,due to the long production process,multiple processes,and complex process of non-ferrous metallurgical enterprises,energy management and control are more difficult.Utilizing artificial intelligence technology to achieve reasonable energy management and control for enterprises is the future development direction.On this basis,this article analyzed the application scenarios and key technologies of artificial intelligence technology in energy management of non-ferrous metal smelting based on the current energy consumption status and energy management characteristics of non-ferrous metallurgical enterprises,providing a foundation for the combination of artificial intelligence technology and the non-ferrous metallurgical industry.

关 键 词：人工智能 有色冶金 能源消耗 能源管理 关键技术 应用场景 

分 类 号：TF808[冶金工程—有色金属冶金] TP18[自动化与计算机技术—控制理论与控制工程]