摘要
针对煤矿巷道掘进作业中,地质结构复杂、现场环境恶劣、掘进设备智能化程度低、安全事故频发等问题,提出了一种数字孪生解决方案.通过融合物联网、互联网、数字孪生和虚拟现实等技术,以PLC为硬件核心、MQTT协议和EMQX服务为基础、建立参数矩阵映射规则和故障原因分析表,实现了掘进作业数据采集与处理、设备与孪生模型间的数据映射、数据存储、作业过程仿真、远程遥控、智能故障检测与预警等功能,提升了煤矿掘进作业过程的数字化、智能化水平.研究结果表明,该方案在煤矿掘进作业过程中具备较强的可行性、可靠性和实用性,具有推广应用价值.
Abstract
Aiming at the problems in coal mine tunneling operations,including complex geological structures,harsh on-site conditions,low automation of excavation equipment,and frequent safety incidents,a digital twin solution is proposed.PLC as hardware core,MQTT protocol,and EMQX as foundation,through the integration of IoT,internet,digital twins,and virtual reality technologies,the mapping rules for parameter matrices and a fault cause analysis table are established,which realize the functions such as data collection,processing during excavation,data mapping between equipment and twin models,data storage,process simulation,remote control,intelligent fault detection,and early warning,and significantly enhance the digitization and automation levels of coal mine tunneling operations.Results show that the solution is highly feasible,reliable,and practical for improving the tunnel excavation process of coal mines,with significant potential for broader application.
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