Abstract
流程工业主要指原材料工业，包括炼油、石化、化工、冶金、电力等行业，是国民经济中占主导地位的行业，其发展状况直接影响国家的经济基础。流程工业生产的高效化和绿色化已经成为国家重大需求。
流程工业生产具有自身与离散工业不同的显著特点，不能完全照搬离散制造业的智能制造技术，实现其跨越式发展必须解决智能化和全流程整体优化的问题，从而提出流程工业智能优化制造的自主技术模式。而知识自动化是实现原材料工业智能优化制造的核心，是面向人机物三元融合复杂开放系统的新一代网络化信息物理系统（工业认知网络）技术，可以完成以前只有人能完成的复杂分析、精确判断和创新决策等知识型工作。在以上的研究背景基础上，结合有色冶金工业智能制造及节能减排案例进行分析，对我国战略对策、研究现状及关键科学问题和主要研究内容等方面进行了讨论。
Process industry, mainly focusing on the processing and automation technology for raw materials, includes oil refining, petrochemistry, chemistry, metallurgy, electric power etc., which holds a predominant position in national economy since its development influences the economy base of a country directly and deeply. While high-efficiency and green production are momentous demands of the country’s development.
Since the process industry has the its own remarkable characteristics different from the discrete industry, the intelligent manufacturing technology in the discrete industry could not be completely copied and applied to the process industry. For the leapfrog development of the process industry, the problem of intelligentization and plant-wide optimization must be addressed, which will definitely lead to the fruitful autonomous technologies for the intelligent optimized manufacturing in the process industry. Knowledge work automation, as the core of intelligent optimized manufacturing in raw material industry, is a new technology for the networked cyber-physical system (industrial cognitive network) facing Human-Cyber-Physical ternary fusion in the complex open systems, and can complete the knowledge-based tasks that are set for human before, such as complex analysis, accurate judgement and innovative decision, etc. Based on the abovementioned research background and combined with case study of energy conservation, emission reduction and intelligent manufacturing in non-ferrous metallurgical industry, the strategic countermeasures, state-of-the-art, key scientific problems and the main research areas in China, will be discussed in this talk.
Biography
桂卫华，中南大学教授，中国工程院院士。国家自然科学基金委创新群体学术带头人。
长期致力于有色冶金工业生产过程控制理论、技术和工程应用的研究，创建了以智能集成为核心的复杂有色冶金过程建模、控制与优化的理论与方法；紧密结合“产学研用”，突破了大型锌冶炼电解生产多目标综合优化控制技术、铝合金构件制备重大装备智能控制技术、铜冶炼生产全流程自动化技术以及基于机器视觉的选矿过程监控技术，形成了具有自主知识产权的有色冶金自动化关键技术，成功应用于我国铜、铝、锌等有色金属生产过程，获得显著的应用成效，打破了国外有色冶金自动化技术对我国的垄断，为我国资源独特、矿源复杂、工艺特殊的有色金属生产自动化提供了技术支撑。
获国家科技进步二等奖3项，省部级科技奖励13项；获“何梁何利基金科学与技术进步奖”、“湖南光召科技奖”、“全国优秀科技工作者”、“全国优秀教师”、“中国有色金属工业优秀科技工作者”和“中国过程控制技术贡献奖”等荣誉称号；
Weihua Gui is professor in Central South University, Academician in Chinese Academy of Engineering, the academic leader of the Innovative Group supported by National Natural Science Foundation of China.
He devoted to research of control theory, technology and engineering applications for manufacturing processes in non-ferrous metallurgical industry for a long term. By taking intelligent integration as the core, he has proposed and established theories and methods of modeling, control and optimization for the complex non-ferrous metallurgical processes. He has made great technological breakthrough in several fields, including multi-objective optimization control in large-scale zinc electrolyte process, intelligent control in the preparation of major equipment with aluminum alloy component, plant-wide automation in copper smelting process and the monitoring and control in beneficiation process based on machine vision. He gave key techniques of the non-ferrous metallurgical automation with proprietary intellectual property, and successfully applied to the production of non-ferrous metals such as copper, aluminum and zinc with remarkable effects. The achievements by him break the foreign monopoly on automation technology in the Chinese non-ferrous metallurgy, and provide technical supports for production automation of non-ferrous metals which are unique, reserved in complexity sources and made by special processed in China.
He has won the prizes of National Science and Technology Progress Award 3 times, the Province and Ministry-level Science and Technology Awards 13 times, and received other awards or honorary titles, such as the Science and Technology Award of the Ho Leung Ho Lee Foundation, Hunan Guangzhao Science and Technology Award, National Excellent Scientific and Technological Workers, National Excellent Teachers, Excellent Scientific and Technological Workers in Chinese Nonferrous Metallurgical Industry, and Contribution Award of National Process Control Technology.
