电解铝复杂体系动态优化预测大模型
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动静时评丨开在科创一线的贵州“新春第一会”:以创新驱动闯新路
Xin Lang Cai Jing· 2026-02-25 14:55
2月24日,春节后的第一个工作日,省委省政府主要领导到创新中心、全国重点实验室,看技术攻关进展,问成果应用实效。下午,调研足迹延伸为一场座 谈会——2026年贵州的"新春第一会",直奔科研最前沿,开到科研创新第一线。 从"会场"到"现场":贵州新春第一会的"变"与"不变" 稍加梳理,便能看出贵州近两年"新年第一会"和"新春第一会"的清晰脉络。 2024年"新春第一会",聚焦"富矿精开";2025年1月"新年第一会",将"大抓产业、大抓项目、大抓招商"确立为经济工作"头号工程";2月"新春第一会",主 攻"现代化产业体系建设"。那时的关键词,是"产业""项目""招商",是"六大产业基地"的夯基筑台。 2026年——"十五五"开局之年。1月4日,新年上班第一天,贵州召开"推动经营主体高质量发展大会","三个大抓"变为"四个大抓"。紧接着,2月24日,丙 午马年春节后首个工作日,聚焦科技创新平台。 从"六大产业基地"到"六大产业集群",两字之差,意涵深远:这不是简单的名字更换,而是从"建基地"到"强集群"的战略跃升,是追求产业集聚、企业集 中、要素集约的深层转型。从"三个大抓"到"四个大抓",增加的,是对经济微观细 ...
“AI大脑”指挥电解槽精准下料
Xin Lang Cai Jing· 2026-02-23 22:47
Core Insights - The implementation of an AI-driven dynamic optimization model at Zunyi Aluminum has significantly improved production efficiency and reduced energy consumption in the electrolytic aluminum production process [1][2] - The company plans to expand the AI integration to all 500 electrolytic cells in the workshop, which is expected to save nearly 40 million yuan annually in energy costs [1] Group 1: AI Implementation and Benefits - The AI model optimizes the control of 56 electrolytic cells, addressing issues such as the manual addition of aluminum fluoride and energy consumption fluctuations [1] - After successful pilot testing on 6 cells, the full integration of AI has led to a reduction of over 100 kWh in energy consumption per ton of aluminum, saving more than 1.8 million yuan in electricity costs over the year [1] - The AI system analyzes production data daily and provides precise control instructions, achieving a parameter error margin of within 0.2, which surpasses manual operations [2] Group 2: Process Improvements - AI integration extends beyond the electrolytic process, enhancing the entire production workflow, including the alumina evaporation and roasting processes [2] - The alumina evaporation model, consisting of 8 smaller models, has reduced steam consumption by 3%, generating an annual benefit of 4 million yuan [2] - The roasting furnace has achieved precise natural gas control, decreasing consumption by 3 cubic meters per ton, showcasing the effectiveness of AI in optimizing production details [2]