Title: The research on digital and intelligent management system for large castings based on Internet+

Authors: Chang Qinglin; Fan Hongyuan; Hou Li; Chen Hongjun; Duan Yang; Cai Peng; Luo Lan

Addresses: School of Manufacturing Science and Engineering, Sichuan University, Chengdu, China ' School of Manufacturing Science and Engineering, Sichuan University, Chengdu, China ' School of Manufacturing Science and Engineering, Sichuan University, Chengdu, China ' Dongfang Turbine Co Ltd, Deyang, China ' School of Manufacturing Science and Engineering, Sichuan University, Chengdu, China ' School of Manufacturing Science and Engineering, Sichuan University, Chengdu, China ' School of Manufacturing Science and Engineering, Sichuan University, Chengdu, China

Abstract: In this paper the status and demands of casting production for large wind power and nuclear power companies was taken as the background. This paper aimed at problems in large casting companies such as various products but in small batch, low data utilisation rate, complex management structure, slow data collection and transmission speed, inconsistent exchange of current software information and so on, to target the integration of equipment, process, software, production, project management, supply chain and customer management. The model using the top-down and taking current software/system into consideration was adopted, and the usage requirement of casting enterprise is analysed in this paper. A casting system management platform based on Internet+ was obtained, of which the frame for sub function, system and module to realise it was divided. Research on data storage model and interaction pattern was conducted to provide reference for the development and implementation of information and intelligent platform for casting enterprises.

Keywords: casting; informatisation; management system; Internet+.

DOI: 10.1504/IJAAC.2019.098202

International Journal of Automation and Control, 2019 Vol.13 No.2, pp.123 - 139

Received: 26 Dec 2016
Accepted: 03 Mar 2017

Published online: 06 Mar 2019 *

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