Intelligent equipment design assisted by Cognitive Internet of Things and industrial big data
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S.I. : COGNITIVE COMPUTING FOR INTELLIGENT APPLICATION AND SERVICE
Intelligent equipment design assisted by Cognitive Internet of Things and industrial big data Jiafu Wan1
•
Jiapeng Li1 • Qingsong Hua2 • Antonio Celesti3 • Zhongren Wang4
Received: 26 May 2018 / Accepted: 10 September 2018 The Natural Computing Applications Forum 2018
Abstract 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. Keywords Cognitive Internet of Things Industrial big data Intelligent equipment
1 Introduction
& Qingsong Hua [email protected] Jiafu Wan [email protected] Jiapeng Li [email protected] Antonio Celesti [email protected] Zhongren Wang [email protected] 1
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China
2
School of Mechanical and Electrical Engineering, Qingdao University, Qingdao, China
3
Department of Engineering, University of Messina, Messina, Italy
4
School of Mechanical and Automotive Engineering, Hubei University of Arts and Science, Xiangyang, China
With the rise of Industry 4.0 and Industrial Internet, the world has set off a new round of industrial reforms to promote the transformation and upgrading of the manufacturing industry [1]. As the basis of the manufacturing industry, the demand of intelligent equipment has become increasingly diverse and design changes become more frequent. However, China’s current intelligent equipment design is still in its infancy and there is still a long way to go in comparison with developed countries. Although enterprises have accumulated a lot of intelligent equipment data, such as equipment operating parameters, engineering drawings, online reviews, and so on, a variety of the intelligent equipment design in China still depends on human subjective thinking. Moreover, the design process is detached from
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