为了实现煤矿井下浆体充填系统减人增效，加快浆体充填技术智能化进程，提出了一种基于智能型PID算法的充填控制方法，实现了精准制浆。构建了输浆管路监测及故障智能识别方法，实现了管道堵塞的提前预警及故障快速处理；集成了数据化生产管理系统及AI+NOSA智能管控平台，使整个浆体充填系统的安全生产管理达到智能化全覆盖。应用效果显示：系统正式投用后，实现了系统监控一体化、充填生产少人化、生产管理数字化，设备管控规范化；浆体充填效率提升40%以上，充填系统故障停机率降低60%以上，劳动定员从15人减少至3人，劳动强度明显降低，生产效率极大提高。

In order to reduce personnel and increase efficiency in the underground slurry filling system of coal mines and accelerate the intelligent process of slurry filling technology, a filling control method based on intelligent PID algorithm was proposed to realize accurate pulping. A monitoring and fault intelligent identification method for slurry pipelines has been constructed, achieving early warning of pipeline blockage and rapid fault handling. Integrated with a data-driven production management system and AI+NOSA intelligent control platform, the safety production management of the entire slurry filling system has achieved intelligent and comprehensive coverage. The application effect shows that after the system is officially put into use, it has achieved integration of system monitoring, less manual filling production, digital production management, and standardized equipment control. The efficiency of slurry filling is increased by more than 40%, and the failure shutdown rate of the filling system is reduced by more than 60%. The labor quota has been reduced from 15 to 3, resulting in a significant decrease in labor intensity and a significant improvement in production efficiency.