Design and Implementation of Digital Intelligent Factory System for Grain, Oil and Food Enterprises Based on Low Code
(Guilin Institute of Information Technology, Guilin 541199, China )
Abstract
Smart workshop construction based on the Odoo low-code industrial Internet platform was studied for traditional grain, oil and food enterprises facing incomplete shop-floor data collection, weak linkage between equipment data and business data, insufficient coordination in warehousing circulation, and discontinuous quality traceability. According to the needs of production organization, management coordination and resource allocation, a four-layer architecture covering data acquisition, data processing, platform operation and user interaction was established. Functions including production monitoring, work-order coordination, warehouse management, quality traceability and operation analysis were designed. The results show that the proposed scheme can organize equipment, production, warehousing and quality information on a unified platform and provide a reference for smart workshop construction in grain, oil and food enterprises.
Keywords
grain, oil and food enterprises; industrial Internet; digital transformation; low code platform; intelligent workshop
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Funding
Key R&D Program Project in Guangxi (Guike FN2504240026); National College Student Innovation Training Program (202413644018); Guilin University of Information Technology Research Innovation Team Project (KYTD202502)
About the authors
Mo Yonghua (1978-), male, Zhuang nationality, from Guilin, Guangxi, professor, master's student, research direction: cloud computing and information security technology; Correspondence author: Guo Guangxiu (2002-), male, Han nationality, from Beihai, Guangxi, undergraduate, research direction: low code industrial Internet.