Optimization of Automobile Body Welding Quality Control Based on Human Factors Engineering: From the Perspective of Operators' Anxiety and Neural Fatigue
Bao Zhang, Yanwei Wang, Ziqiang CaiAbstract
Objective
Automobile body welding operators face long-term high-intensity work. Anxiety and neural fatigue accumulate. Mental health is damaged. Mental state becomes unstable. Welding quality is affected. This study optimizes welding quality control based on human factors engineering. It focuses on operators' anxiety and neural fatigue. It improves welding quality. It protects operators' mental health. It stabilizes their mental state.
Subjects and Methods
This study takes automobile body welding operators as subjects. Their anxiety levels are measured. Neural fatigue indicators are detected. Welding quality data are collected. Human factors engineering methods are adopted. Correlation between anxiety, neural fatigue and welding quality is analyzed. Optimization schemes of quality control are designed.
Results
High anxiety and severe neural fatigue lead to poor welding quality. They worsen operators' mental health. They cause unstable mental state. The optimized quality control scheme reduces operators' anxiety. It alleviates neural fatigue. It stabilizes mental state. It improves welding quality. It protects operators' mental health.
Conclusions
Anxiety and neural fatigue of operators are key factors affecting welding quality. They threaten operators' mental health. Human factors engineering-based optimization effectively relieves anxiety. It eases neural fatigue. It stabilizes mental state. It improves welding quality control level. It provides a humanized path for quality control and mental health protection.
Corresponding Author
Bao Zhang, Sichuan Vocational and Technical College, Suining 100084, China.