Key technologies and practical path for digital-intelligent transformation of coal preparation plants
选煤厂数智化转型的关键技术与实践路径

摘要

针对传统选煤厂数据孤岛、智能决策薄弱及安全管控与生产控制协同不足的问题，基于智慧选煤数智管控工程，提出安全导向的数智化转型技术体系与实施路径。通过构建基础信息模型、专家算法模型和场景迭代模型，融合PLC、在线监测、视频与移动端数据，形成设备健康预警、工艺智能控制、供配电五防校核及风险追溯等应用。工程验收表明，设备故障诊断准确率达93%，日均停机时间减少0.55 h，智能停送电平均操作时间缩短40%以上，误操作风险显著降低，同时精煤回收率提升1.1%、介耗降低16%。结果表明，以数据治理为基础、以安全场景为牵引、以分级控制和持续迭代为保障的实践路径，可提升选煤厂安全可靠运行与智能化管控水平。

Abstract

To address data silos, weak intelligent decision-making and insufficient coordination between safety management and production control in conventional coal preparation plants, a safety-oriented technology system and implementation path for digital-intelligent transformation are proposed based on a smart coal-preparation engineering project. A basic information model, expert algorithm model and scenario-iteration model are constructed to integrate PLC, online monitoring, video and mobile data, supporting equipment-health warning, intelligent process control, five-prevention verification for power switching and risk traceability. Final acceptance reported 93% fault-diagnosis accuracy, a 0.55 h/day reduction in downtime, over 40% reduction in average switching-operation time, a significant decrease in misoperation risk, a 1.1% increase in clean-coal recovery and a 16% reduction in medium consumption. The results show that data governance, safety-scenario-driven construction, graded control and continuous iteration can improve both safe and reliable operation and intelligent management.