Title: State prediction and servitisation of manufacturing processing equipment resources in smart cloud manufacturing
Authors: Shenghui Liu; Xin Hao; Shuli Zhang; Chao Ma
Addresses: School of Computer Science and Technology, Harbin University of Science and Technology, 150080, China ' School of Computer Science and Technology, Harbin University of Science and Technology, 150080, China ' Software and Microelectronics School, Harbin University of Science and Technology, 150080, China ' Software and Microelectronics School, Harbin University of Science and Technology, 150080, China
Abstract: For enabling the manufacturing processing equipment resources to intelligently perceive their own operating state, this paper proposes an integrated prediction method, in which by combining the clustering ability of SOM and the classification ability of BP together, an integrated intelligent prediction model with the ability of both qualitative and quantitative analysis is defined and used to realise the accurate prediction of operating state. Next, the service encapsulation specification for the various algorithms and model in this method are given. They are encapsulated as a set of cloud services and then published to the smart cloud manufacturing service platform, so as to enable the virtualised resources combine their own processing ability and the intelligent perception ability of these cloud services together by carrying out service composition. The above process realised the networking, servitisation, and intellectualisation of manufacturing processing equipment resources. Finally, the experimental results demonstrate the effectiveness of the proposed method.
Keywords: smart cloud manufacturing; integrated prediction model; combined BP neural network; servitisation; intellectualisation.
International Journal of Internet Manufacturing and Services, 2020 Vol.7 No.4, pp.329 - 344
Received: 14 Jul 2018
Accepted: 28 Nov 2018
Published online: 18 Apr 2020 *