Industrial design

Computational Science and Engineering

Big data

World Wide Web

Process (computing)

Engineering

Neuroscience

Computer security

Cognition

Operating system

The Internet

Economics

Data mining

Computer science

Visual arts

Manufacturing engineering

Architecture

Mechanical engineering

Keynesian economics

Industrial Internet

Internet of Things

Psychology

Political science

Data science

Artificial intelligence

Industrial Revolution

Engineering management

Machine learning

Industrial production

Neural Computing and Applications

In recent years, the development of emerging technologies has brought about a new era of industrial reform. The current industrial revolution will deeply integrate the new generation of information technology with modern manufacturing industry and production servicing businesses to promote transformation and upgrading. As it is the foundation of the manufacturing industry, intelligent equipment plays an important role in the reform. In this paper, we propose an innovative design method to help design intelligent equipment. Firstly, referring to the architecture of the Cognitive Internet of Things (CIoT) and industrial big data, we proposed the architecture of the method and defined the different layers to process the data. Then, for the acquired external data, we put forward an algorithm which was combined with the technology of CIoT and industrial big data, to help designers analyze and make decisions. Finally, we verified the validity and feasibility of this method through a case study. The results showed that this method could effectively mine the deep information of intelligent equipment and provide more valuable information about design-assisting designers in designing better intelligent equipment.

Intelligent equipment design assisted by Cognitive Internet of Things and industrial big data