煤矿数字孪生智采工作面系统构建

为实现煤矿井下采煤工作面的全面感知、实时互联、分析决策、自主学习、动态预测和协同控制，本文构建了数字孪生智采工作面系统的整体框架。首先，将数字孪生智采工作面系统划分为3个层次，并给出各层次的功能及特征；其次，分别构建了数字孪生智采工作面系统中采煤机、刮板输送机、转载机、破碎机、带式输送机、液压支架、乳化液泵站及工作面环境的数据感知模型，并深入剖析采煤机、液压支架、煤流运输系统及设备与环境之间的协同约束关系；最后，给出数字孪生智采工作面系统的整体应用体系结构。基于该数字孪生智采工作面系统，可以实现物理矿山实体与数字矿山孪生体之间的虚实映射与实时交互、数字孪生体的智能感知与协同控制，为提升采煤工作面智能化水平提供实现依据。

Construction of digital twin system for intelligent mining in coal mines

In order to fulfill the functions of comprehensive perception, real-time interconnection, analysis and decision making, autonomous learning, dynamic prediction and cooperative control, an overall framework of Digital Twin Smart Mining Workface was established. First, the digital twin smart mining face system was divided into 3 levels, and the functions and characteristics of each level were given.Secondly, based on the physical domain entities contained in the intelligent mining face, the data perception models of coal shearer, scraper conveyor, stage loader, crusher, hydraulic support, belt conveyor support, emulsion pump station and environment in the digital twin working face system were expounded in detail, and the collaborative constraint relationship among shearer, hydraulic support, coal flow transportation system, workface environment and equipment was analyzed in depth. Finally, the application scheme of the digital twin intelligent mining face system was designed. Based on the digital twin intelligent mining face system, the virtual-real mapping and real-time interaction between physical mine entities and digital mine twins could be realized, and the intelligent perception and cooperative control of digital twins could be performed, which provides a basis for improving the intelligent level of coal mining face.