磨矿过程是诸多工业原材料生产的基础工序，能耗物耗高，产品质量对于后续生产至关重要。我国磨矿工业总量大，但总体生产水平较国外发达国家低。完成节能降耗任务异常艰巨。迫切需要采用运行优化控制技术提高磨矿生产效率，降低能耗。全流程模型是磨矿运行优化控制的核心技术。由于运行优化控制采用两层结构，它的建模目标与传统磨矿过程模型不同，同时还要考虑多种扰动因素，加上磨矿过程本身具有的种种复杂性，对于建立磨矿全流程模型提出了挑战。因此本课题提出采用机理分析、数据驱动与仿真技术相结合的磨矿过程全流程建模技术。研究成果将用于开发磨矿全流程仿真软件，以支持磨矿过程运行优化控制策略设计与系统开发。这项研究将为有助于推动磨矿运行优化控制技术实际应用，为最终形成我国具有自主知识产权的磨矿过程运行优化控制成套技术和软件产品奠定基础。

Grinding is one of the basic manufacturing processes for raw materials of various industries. Grinding process consumes extensive energy and material, and the quality of its production has significant effects on the following processes. There is huge industrial capacity of grinding in China. But there still exists gap in the overall performance of grinding operation between China and the developed countries. It is very difficult to complete the mission of reduce energy and material consumption. It is desirable to have the operation optimal control techniques in order to improve productivity and reduce energy and material consumption. The key of operation optimal control is the model of whole grinding process. The development of such a model is very challenging. This is because operation optimal control adopts a two-tier control structure, and the goal of such model is different from that of the traditional process models. Also, it has to take into consideration of many disturbances. The complexity possessed by grinding process will also make modeling very difficult. Therefore, this project proposes the combining of mechanical analysis, data-driven techniques and simulation techniques to develop the model of whole grinding process. The research results will be used to the design and implementation of simulation software of grinding process which will support the design and development of operation optimal control system. The proposed research will be helpful in promoting the application of operation optimal control technology in grinding industry. And it will make a firm foundation for the development of operation optimal control solution and software.