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投稿时间：2019-07-30 修订日期：2019-07-30
投稿时间：2019-07-30 修订日期：2019-07-30
中文摘要: 分析了实施选矿过程智能优化制造必要性和可行性,提出了选矿过程智能优化制造总体架构和建设路径,阐述了大数据和新一代人工智能技术在选矿智能优化制造中的应用方向,明确了选矿过程智能优化制造发展愿景、目标和重点研究任务,给出了政策建议。
Abstract:In this paper, the necessity and feasibility of smart and optimal manufacturing in mineral processing practice was analyzed. The overall architecture and construction paths of smart and optimal manufacturing in mineral processing was proposed. The application of the big data and the new generation artificial intelligence technology in smart and optimal manufacturing in mineral processing was described. The development vision, goals and key research tasks of smart and optimal manufacturing in mineral processing was put forward, and some policy suggestions were given at last.
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基金项目:中国工程院化工、冶金与材料学部咨询项目（2018-XY-15）
| Author Name | Affiliation | Postcode |
| SUN Chuanyao | BGRIMM Technology Group | 100160 |
| ZHOU Junwu | BGRIMM Technology Group | 100160 |
引用文本：
孙传尧,周俊武.流程工业选矿过程智能优化制造发展战略[J].有色金属（选矿部分）,2019(5):1-5.
SUN Chuanyao,ZHOU Junwu.Smart and optimal manufacturing development strategy for mineral processing industry[J].Nonferrous Metals(Mineral Processing Section),2019(5):1-5.
孙传尧,周俊武.流程工业选矿过程智能优化制造发展战略[J].有色金属（选矿部分）,2019(5):1-5.
SUN Chuanyao,ZHOU Junwu.Smart and optimal manufacturing development strategy for mineral processing industry[J].Nonferrous Metals(Mineral Processing Section),2019(5):1-5.
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