全流程协调优化控制是我国氧化铝工业实现高效化、绿色化和可持续发展的核心技术。协调优化控制的本质是一类工艺、生产资源和生产任务多维约束下的大规模多目标动态优化问题；通过生产各环节的动态自适应协调，动态优化生产参数设定和生产指令，将生产过程控制在最优的工艺参数柔性范围内，实现生产过程的整体最优。但是由于工业过程的高度复杂性，优化指标和约束之间存在不确定性，目前尚缺乏有效的面向生产全流程的协调优化控制理论和技术。本项目面向氧化铝过程开展协调优化控制的策略、方法和系统实现技术研究；重点研究协调优化控制的系统结构，建立知识和大数据感知驱动的全流程协调优化控制的理论和方法；通过工业应用，验证并完善所提理论和技术。本项目研究将推动包括优化、知识和数据驱动的建模等相关理论的发展，为提升我国氧化铝工业的优化运行水平提供理论方法和系统实现技术，对解决其它复杂工业系统协调优化控制问题也具有普遍的科学意义。

The whole process coordinated optimization and control is the key technology to realize high efficiency, green and sustainable development of alumina industry in China. The essence of coordinated optimization and control is a class of large-scale multi-objective dynamic optimization problem under multidimensional constraints of process design, production resources and production tasks. To achieve the global optimization of production process, the production process is controlled in the optimal range of the allowed process parameters by dynamic optimal decision making for the process system parameter setpoints and production instructions. However, due to the high complexity of industrial process, and the uncertainty existing between the optimization index and the constraint, there has not been effective coordinated optimization and control theory and technology for the whole production process. This project studies the strategy, method and system realization of the coordinated optimization and control system of alumina process. Our focus is mainly on the structure of coordinated optimization and control system, and to establish the theory and method of data and knowledge driven coordinated optimization and control. Finally, the theory and technology proposed in this project will be validated and improved through systematic industrial applications. The research of this subject will promote the development of relevant theories, including optimization, knowledge and data driven modeling, and provide theoretical method and system implementation technology for improving the optimal operation level of the alumina industry in China. It also has wider scientific significance in solving the coordinated optimization and control problems of the other similar complex industrial systems.