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基于工业互联网的有色金属冶炼智能工厂架构设计

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针对有色金属工业目前受到资源、排放、能耗、效益等因素制约的现状,本文设计了一种基于工业互联网的有色金属冶炼智能工厂架构,用来优化生产过程、提高供应链可持续性、降低能耗、提高企业的生产效益、帮助企业优化管理,突破行业瓶颈.结合铜冶炼的工艺背景,本文所设计的智能工厂架构以工业互联网为核心,依靠云-边-端协同框架,融合了人工自愈、数字孪生、机器学习、先进控制以及通讯技术,为有色金属工业的发展提供全新的思路和解决方案.
Design of intelligent processing experimental platform based on industrial Internet
In response to the current constraints faced by the non-ferrous metal industry in terms of resources,emissions,energy consumption,and efficiency,this paper proposes a smart factory architecture for non-ferrous metal smelting based on the Industrial Internet of Things(IIoT).The proposed architecture aims to optimize the production process,improve the sustainability of the supply chain,reduce energy consumption,enhance production efficiency,and facilitate better management practices,thereby overcoming industry bottlenecks.Specifically tailored to the context of copper smelting,the designed smart factory architecture revolves around the core concept of the IIoT and leverages a cloud-edge-end collaborative framework.It integrates key technologies such as artificial intelligence-based self-healing,digital twinning,machine learning,advanced control,and communication technologies.This innovative approach provides a fresh perspective and practical solutions for the development of the non-ferrous metal industry.

Nonferrous Metal IndustryIndustrial InternetArtificial IntelligenceBig DataCloud Edge Collaboration

石晓东、李哲、李圣喜、刘振宇

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沈阳有色冶金设计研究院有限公司,辽宁 沈阳 110003

有色金属工业 工业互联网 人工智能 大数据 云边协同

2024

世界有色金属
有色金属技术经济研究院

世界有色金属

影响因子:0.138
ISSN:1002-5065
年,卷(期):2024.(14)