Special Issue on Industrial Internet for Manufacturing
摘要截稿:
全文截稿: 2019-03-31
影响因子: 3.464
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 工程技术 - 2区
• 小类 : 计算机:跨学科应用 - 2区
• 小类 : 工程:制造 - 2区
• 小类 : 机器人学 - 3区
Overview
The Industrial Internet, or the Industrial Internet of Things, refers to the Internet of Things for industry. The Industrial Internet is an open, global industrial network that connects machines to the Internet via software, collect machine data, and gain insight into the industrial process from the data for improving productivity, efficiency and reliability. The Industrial Internet creates a real opportunity for innovation and change for the manufacturing industry.
Despite this, research on and development of the Industrial Internet for manufacturing are overall in the early stage, and many challenges are to be addressed in terms of platform, network, and security. Especially, many problems and challenges of the Industrial Internet platform need to be investigated and addressed, including connection of multi-type manufacturing equipment, integration of multi-source manufacturing data, management and processing of huge volumes of manufacturing data, modeling and analysis of manufacturing data, manufacturing application innovation and integration, and manufacturing knowledge management.
Scope of the Special Issue
The purpose of this Special Issue (SI) of the Robotics and Computer-Integrated Manufacturing is to provide a forum for publishing original and high-quality research articles on the Industrial Internet for manufacturing applications so as to advance related research, industrial applications and implementation. The scope of this SI covers all the topics on the Industrial Internet for manufacturing, including, but are not limited to:
• Platform
• Security
• Network
• Edge computing
• Cloud computing and cloud manufacturing
• Data management and processing
• Application and service development
• Modeling and analysis of manufacturing data
• Artificial intelligence
• Knowledge management
• Industrial software
• Intelligent machines
• Augmented, virtual and mixed reality
• CPS and Digital Twin
• Block chains
• Identity resolution
• Monitoring, maintenance and diagnosis
• Industry 4.0 and smart manufacturing
• Service-oriented manufacturing
• Industry-site production process optimization
• Enterprise operation and decision-making optimization