Abstract: To achieve functional optimization and efficient application of the intelligent loading system under unattended mode,this study takes the intelligent loading system project of the Tongxin Coal Preparation Plant as an example. By optimizing five core modules of vehicle positioning and dynamic detection,loading control model and intelligent decision-making algorithm,chute control and real-time adjustment,loading quality detection and overload/underload alarm system,and remote monitoring and intelligent interaction,the performance of the loading system in unattended mode has been comprehensively enhanced. The research results show that the optimized system achieves a loading speed of 1. 7 vehicles per minute,an increase of 54. 5% compared to before optimization. The frequency of manual intervention significantly decreased to 0. 8 times per hour,a reduction of 85. 5%. The loading deviation was controlled within ± 0. 8 tons,and the overload/underload rate dropped to 1. 2%, indicating a significant improvement in loading quality. The system failure rate decreased from 4 times per month to 0. 5 times per month,and monthly maintenance time was reduced from 12 hours to 3 hours,greatly enhancing long-term operational reliability.