高庄选煤厂多维度智能调度管理体系建设

    Construction of a multi-dimensional intelligent dispatching management system at Gaozhuang Coal Preparation Plant

    • 摘要: 煤炭工业高质量发展进程中,传统选煤调度因依赖人工经验、缺乏实时精准调控与多维度协同,严重制约选煤厂可持续发展。为破解上述瓶颈,支撑选煤厂智能化转型与高质量发展,高庄选煤厂采用物联网、大数据、人工智能等前沿技术,整合现有系统功能,提升调度管理效能,构建了多维度智能调度管理体系。体系建设涵盖生产集控指挥、产品质量管控、设备监测与智能巡检、数据在线集成分析和事故应急处理五大核心模块,通过设计与构建设备闭锁联动机制、煤质数据实时共享平台、仓存灰分预估修正模型、故障在线监测—语音报警—视频随动—智能巡检一体化系统、产选销联动机制、个性化定制生产报表及应急调度平台,对选煤生产全流程管控模式进行优化。该体系应用后,设备事故率显著降低,月均事故台时从9.7 h降至3.2 h,洗选生产事故率从0.29 h/万t降至0.11 h/万t;能耗成本得到有效控制,年节约用电30.5万kW·h,节约电费24.4 万元;产品质量与精煤产率同步提升,综合精煤产率提升约0.2个百分点,年新增经济效益430.5万元。该体系实现了调度职能从单一操作协调向数据中心、信息中心、安全管理中心、指挥中心的多维度转型,其多维度协同与全流程智能调控模式为选煤厂智能化建设提供了实践范例。

       

      Abstract: In the process of high-quality development of the coal industry, traditional coal preparation scheduling, due to its reliance on manual experience and lack of real-time precise control and multi-dimensional coordination, has constrained the sustainable development of coal preparation plants. To break through the aforementioned bottlenecks and support the intelligent transformation and high-quality development of the coal preparation plant, Gaozhuang Coal Preparation Plant adopted cutting-edge technologies such as the Internet of Things, big data, and artificial intelligence, integrated existing system functions, enhanced scheduling management efficiency, and built a multi-dimensional intelligent scheduling management system. The system construction covers five core modules: integrated production control and command, product quality management and control, equipment monitoring and intelligent inspection, online data integration and analysis, and accident emergency handling. By designing and constructing equipment interlocking linkage mechanisms, a real-time coal quality data sharing platform, a bunker ash content estimation and correction model, an integrated system for online fault monitoring-voice alarm-video follow-up-intelligent inspection, a production-preparation-sales linkage mechanism, personalized customized production reports, and an emergency scheduling platform, the management model of the entire coal preparation production process was optimized. After the application of the system, the equipment accident rate significantly decreased: the monthly average accident downtime per unit was reduced from 9.7 h to 3.2 h, and the coal preparation production accident rate decreased from 0.29 h/10 000 t to 0.11 h/10 000 t; energy consumption costs were effectively controlled, with annual electricity savings of 305 000 kW·h and electricity cost savings of 244 000 yuan; product quality and clean coal yield improved simultaneously, the comprehensive clean coal yield increased by about 0.2 percentage points, generating additional annual economic benefits of 4.305 million yuan. The system has realized the transformation of the scheduling function from a single operational coordination to a multi-dimensional role as a data center, information center, safety management center, and command center. Its multi-dimensional coordination and full-process intelligent control model provides a practical example for the intelligent construction of coal preparation plants.

       

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