Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research on the Remote Operation and Maintenance System of Ion Nitriding Process Based on Industrial Internet

LUO Chi, LIU Jie, LIN Xiangzhi

(School of Electric Power and Intelligent Manufacturing, Guangzhou Huali Science and Technology Vocational College, Guangzhou 511325, China)

Section：Intelligent Manufacturing · Vol. 2026, Issue 5 · Pages：156-160 · 2096-4706（2026）05-0156-05 · CLC number：TP311；TG156 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.05.029

Abstract

This study focuses on exploring the remote operation and maintenance system for the ion nitriding process in the industrial internet environment. In terms of research methods, it integrates industrial sensors, edge computing and cloud platform technologies to realize real-time collection and remote monitoring of process parameters. The system achieves second-level response speed for remote parameter adjustment, with a fault early warning accuracy rate of over 92%. It also increases the qualification rate of nitriding parts by 5% and reduces energy consumption by 8%. With “perception-transmission-analysis-application” as its core, the platform layer combines digital twin and algorithms to complete parameter prediction and fault early warning. This system effectively breaks through the limitations of traditional operation and maintenance modes, providing solid technical support for the intelligent and digital upgrading of ion nitriding equipment.

Keywords

nitriding; process parameter; remote operation and maintenance; industrial internet

References

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About the authors

Luo Chi (2000-), male, Han nationality, from Meizhou, Guangdong, teaching assistant, undergraduate, research direction: electrical engineering.