首页|Opportunities and Challenges of Artificial Intelligence for Green Manufacturing in the Process Industry

Opportunities and Challenges of Artificial Intelligence for Green Manufacturing in the Process Industry

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
  • 维普
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 processsafety 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.

Process industrySmart manufacturingGreen manufacturingArtificial intelligence

Shuai Mao、Bing Wang、Yang Tang、Feng Qian

展开 >

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

This research was supported in part by the National Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of China

2018YFC08093026175130561673176

2019

工程(英文)

工程(英文)

CSTPCDSCIEI
ISSN：2095-8099
年,卷(期)：2019.5(6)
  • 12
  • 6