数据和知识融合驱动的智能过程系统工程研究进展

智能过程系统工程教育部工程研究中心建设十余年来，开展了一系列卓有成效的基于数据和知识融合驱动的智能化过程系统工程（PSE）科学研究、技术创新和工程应用。本文重点介绍过程工业节能减排降耗和安全运行相关的关键技术——建模与优化、报警管理与故障诊断以及能效分析与评价三大应用的研究进展，最后结合大数据、云计算、工业4.0、智能制造、人工智能等技术展望了PSE的未来发展方向。

Progress in intelligent process system engineering driven by data and knowledge fusion

Since the establishment of the Engineering Research Center of Intelligent Process System Engineering (PSE) of the Ministry of Education of China, a number of highly effective intelligent PSE scientific studies, technological innovations and engineering applications driven by data and knowledge fusion have been developed over the past decade. In this paper, some key technologies such as modeling and optimization, alarm management and fault diagnosis, energy efficiency analysis and evaluation, and relevant research progress related to energy-saving, emission reduction, energy consumption and safety operation are introduced. Finally, by combining the deep integration of information technology and industrialization and the transition and upgrading of enterprises based on big-data, cloud computing, Industry 4.0, intelligent manufacturing, and artificial intelligence, future development directions of PSE are predicted.