A survey on the progression of artificial intelligence techniques in the nonferrous metallurgical industry

IF 5.4 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Control Engineering Practice Pub Date : 2025-04-15 DOI:10.1016/j.conengprac.2025.106353

Peng Kong, Bei Sun, Yonggang Li, Chunhua Yang, Weihua Gui

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引用次数: 0

Abstract

Nonferrous metals serve as a material base for economic development. With the increasing focus on production safety, environmental protection, and sustainable resource utilization, nonferrous metal enterprises urgently need intelligent transformation and upgrading to remain competitive in the modern era. This paper concisely reviews the literature concerning modeling, process monitoring, optimization, and control in the nonferrous metallurgical (NFM) industry, including traditional approaches and the development and current state of artificial intelligence (AI) applications. AI is increasingly integrating with the unique characteristics of the NFM processes and playing a crucial role at various stages of production. Additionally, this paper explores future directions of intelligent development in the NFM industry, proposing a framework for intelligent optimization control. This framework encompasses a structured and comprehensive perception of production states, plant-wide cross-level collaborative optimization, and intelligent autonomous control at the device level, thus establishing a foundation for the intelligent transformation of NFM enterprises. In conclusion, integrating AI into the NFM industry is poised to enhance operational efficiency and innovation significantly, driving the industry toward a more sustainable and intelligent future.

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有色金属冶金工业人工智能技术发展调查

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来源期刊

Control Engineering Practice 工程技术-工程：电子与电气

CiteScore

9.20

自引率

12.20%

发文量

183

审稿时长

44 days

期刊介绍： Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.