Article Details

Title · Authors · Abstract · Keywords · DOI · References

Design and Implementation of Digital Intelligent Factory System for Grain, Oil and Food Enterprises Based on Low Code

MO Yonghua, GUO Guangxiu

(Guilin Institute of Information Technology, Guilin 541199, China )

Section:Intelligent Manufacturing · Vol. 2026, Issue 17 · Pages:179-183 · 2096-4706(2026)17-0179-05 · CLC number:TP311.5;TS207 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2026.17.032

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

References

  1. [1] Zhong R Y,Xu X,Klotz E,et al. Intelligent Manufacturing in the Context of Industry 4.0: A Review [J].Engineering,2017,3(5):616-630.
  2. [2] Osterrieder P,Budde L,Friedli T. The Smart Factory as a Key Construct of Industry 4.0: A Systematic Literature Review [J/OL].International Journal of Production Economics,2020,221:107476.https://www.sciencedirect.com/science/article/abs/pii/S0925527319302865.
  3. [3] Sanchis R,García-Perales Ó,Fraile F,et al. Low-Code as Enabler of Digital Transformation in Manufacturing Industry [J/OL].Applied Sciences,2020,10(1):12.https://www.mdpi.com/2076-3417/10/1/12.
  4. [4] Ajimati M O,Carroll N,Maher M. Adoption of Low-Code and No-Code Development: A Systematic Literature Review and Future Research Agenda [J/OL].Journal of Systems and Software,2025,222:112300.https://doi.org/10.1016/j.jss.2024.112300.
  5. [5] Charlebois S,Latif N,Ilahi I,et al. Digital Traceability in Agri-Food Supply Chains: A Comparative Analysis of OECD Member Countries [J/OL].Foods,2024,13(7):1075.https://www.mdpi.com/2304-8158/13/7/1075.
  6. [6] Gottschald M. Advancing Food Safety through Digital Traceability, Interoperability, Harmonized Data and Collaborative Partnerships [J].Journal of Consumer Protection and Food Safety,2024,19:257-258.
  7. [7] Vasileiou M,Kyrgiakos L S,Kleisiari C,et al. Digital Transformation of Food Supply Chain Management Using Blockchain: A Systematic Literature Review Towards Food Safety and Traceability [J].Business & Information Systems Engineering,2025,67:699-733.
  8. [8] Zhu Yutao, Xiao Lin, Chen Zeren, etc Research on Industrial Internet Edge Intelligent Collaborative Computing Technology for Smart Factory [J]. Information and Communication Technology and Policy, 2021, 47 (3): 1-5
  9. [9] Wu Fan, Wang Conghui, Dong Jiahui Research and Design of Smart Workshop Based on Industrial Internet Platform [J]. Journal of Hunan Posts and Telecommunications Vocational and Technical College, 2021, 20 (1): 33-35
  10. [10] Zhang Guowei, Jiang Penglei, Li Huiyue Integration Strategy and Practice of Manufacturing Execution System and ERP System [J]. Modern Information Technology, 2025, 9 (18): 143-147
  11. [11] Fu Renxuan Design of Communication System for Intelligent Factory Equipment Interconnection [J]. Industrial Control Computer, 2020, 33 (8): 13-15
  12. [12] Shang Junhai Exploration on the construction of petrochemical intelligent factory industrial Internet platform [J]. Henan Science and Technology, 2019 (34): 20-25
  13. [13] Wang Endong, Zhang Dong, Qi Kaiyuan Cloud Platform Technology for Intelligent Manufacturing [J]. ZTE Technology, 2016, 22 (5): 11-16
  14. [14] Liu Difei, Tian Hongchuan, Liu Hehe Research on Industrial CPS Technology, Architecture and Application Strategy [J]. ZTE Technology, 2016, 22 (5): 17-20

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.