Special Issue on Industrial Cyber-Physical Systems, Industrial Artificial Intelligence and Their Applications
• 大类 : 工程技术 - 3区
• 小类 : 自动化与控制系统 - 3区
• 小类 : 工程：电子与电气 - 3区
As an integration of computing, communication and control, Cyber-Physical Systems (CPS) has been coming into our view and widely applied in daily life, for example in transportation systems, automation, security, smart buildings, smart cities, medical systems, energy generation and distribution, water distribution, agriculture, military systems, process control, asset management, and robotics. With the development of Industry 4.0, it is expected to build Industrial Cyber-Physical Systems (ICPS), in which the methods and models are not only combined, but also as a system constitutes a new engineering discipline related to Artificial Intelligence that promotes the development of industry itself.
ICPS has received sufficiently technical support from communication infrastructure, computing facilities and sensing techniques. While considering the emerging requirements on intelligent capability, the existing ICPS still needs to be combined with Artificial Intelligence (AI) so as to provide smart and automatic solutions to real-world industrial applications. Besides, it is also interesting and significant to unite the cyber and the physical in an AI-driven framework for applying to the industrial systems. The related research may address the following issues:
Industrial time series prediction
AI-driven industrial planning and scheduling
Deep reinforcement learning
Data-based industrial optimization; and
Other AI technologies for industrial application
The purpose of this special issue (SI) is to provide a forum for researchers and practitioners to exchange ideas and progress in related areas. It aims at highlighting ICPS, Industrial AI (IAI) and applications, so as to make the concepts more visible and practical in the AI community. Original contributions, including novel ICPS framework, industrial data preprocessing, AI-driven time series prediction, industrial scheduling and optimization, and real-world case studies on industrial applications, are cordially welcome. Based on this SI, some fundamental concepts and associated techniques for ICPS and IAI will be further focused and promoted.
The topics of this special issue include, but are not limited to:
New and powerful innovations that will satisfy the future challenging requirements of Industrial Cyber-Physical Systems
Architectural framework for distributed Industrial Cyber-Physical Systems
Design, implementation and operation of intelligent Industrial Cyber-Physical Systems
The Internet of Things (IoT) in industry, including edge computing, smart gateways, etc.
Safety, privacy and security for Industrial Cyber-Physical Systems
Data abnormality detection, imputation and fault analysis for Industrial Cyber-Physical Systems
Time-series prediction, and prediction intervals construction for industrial data
AI-driven industrial scheduling, operational optimization and decision-making
AI-driven approaches, e.g., Deep reinforcement learning, fuzzy modeling, etc., for industrial applications