基于全数字化电解槽的智慧型铝电解优化生产方法

向智能制造转型发展是我国铝电解工业在新的历史时期高效、绿色和可持续发展的必由之路。本项目针对铝电解工业实现智能制造在电解槽状态参数获取及控制管理层面亟需解决的关键基础问题，应用大数据与知识自动化的手段开展研究。首先，研究现代大型铝电解槽多类型分布式信号在线采集新方法，提出铝电解智能感知系统的方法；其二，研究铝电解工业大数据的处理方法，提出基于生产全流程信息和大数据驱动的数字化铝电解槽；最后，研究铝电解生产原料-能源-设备状态波动条件下的工艺技术与生产管理的智能优化、基于大数据的电解槽寿命评估优化与风险预警等智能优化方法。项目研究的初衷是为建立铝电解智能制造基础雏形，并探索智能制造领域的相关基础难题，不仅具有重要的科学意义，且对于推进铝电解智能制造的发展进程、提升我国铝电解企业国际竞争力和实现铝电解工业可持续发展具有重要的理论与应用价值。

The development of smart manufacture is the only way for China's aluminum electrolysis industry to be efficient, green and sustainable development in the new historical period. In order to realize smart manufacture of aluminum electrolysis process, some key theories and techniques in detection, integrated control and intelligentization will be studied by using big data and knowledge automation in this proposal. Firstly, in order to establish aluminum distributed intelligent awareness system, new methods of distributed parameters sampling and soft-measurements based on state parameter detection and on-line simulation will be studied. Secondly, the method for processing aluminum industrial big data will be explored and the digital aluminum reduction cell model driven by big data will be proposed. Finally, based on big data, the optimization technique for aluminum material, energy supply, cell life evaluation and risk warning will be carried out. This project has important science meaning in exploiting the theoretical field of knowledge automation and developing the application method foundation. And also, it is with great technical significance in enhancing the international competitiveness of aluminum enterprise and realizing the sustainable development of the industry.