文献类型：期刊文献

中文题名：Opportunities and Challenges of Artificial Intelligence for Green Manufacturing in the Process Industry

作者：Shuai Mao[1];Bing Wang[1];Yang Tang[1];Feng Qian[1]

机构：[1]Key Laboratory of Advanced Control and Optimization for Chemical Processes,Ministry of Education,East China University of Science and Technology,Shanghai 200237,China

年份：2019

卷号：5

期号：6

起止页码：995

中文期刊名：Engineering

外文期刊名：工程（英文）

收录：CSTPCD;;Scopus;PubMed

语种：英文

中文关键词：Process industry;Smart manufacturing;Green manufacturing;Artificial intelligence

摘要：Smart manufacturing is critical in improving the quality of the process industry. In smart manufacturing, there is a trend to incorporate different kinds of new-generation information technologies into process- safety analysis. At present, green manufacturing is facing major obstacles related to safety management, due to the usage of large amounts of hazardous chemicals, resulting in spatial inhomogeneity of chemical industrial processes and increasingly stringent safety and environmental regulations. Emerging informa- tion technologies such as arti cial intelligence (AI) are quite promising as a means of overcoming these dif culties. Based on state-of-the-art AI methods and the complex safety relations in the process industry, we identify and discuss several technical challenges associated with process safety: ① knowledge acquisition with scarce labels for process safety;② knowledge-based reasoning for process safety;③ accurate fusion of heterogeneous data from various sources;and ④ effective learning for dynamic risk assessment and aided decision-making. Current and future works are also discussed in this context.