文献类型：期刊文献

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

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

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2019

卷号：5

期号：6

起止页码：995

外文期刊名：ENGINEERING

收录：;EI(收录号：20194507643702);WOS:【SCI-EXPANDED(收录号:WOS:000505075800008)】；

基金：This research was supported in part by the National Key Research and Development Program of China (2018YFC0809302) and the National Natural Science Foundation of China (61751305 and 61673176).

语种：英文

外文关键词：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 information technologies such as artificial intelligence (AI) are quite promising as a means of overcoming these difficulties. 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. (C) 2019 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company.