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IoT-based Mine Ventilation Control System Architecture with Digital Twin

机译:基于物联网的数字孪生矿井通风控制系统架构

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The paper considers a dynamic ventilation system of the underground mining. The research is relevant from the point of view of safety and energy saving of mining operations, since the process of ventilation of underground mining companies consumes from 30 to 50% of all company electricity. Existing methods of ventilation control often do not ensure rational energy consumption, as they do not take into account the dynamics of air distribution and changes in environmental parameters. The proposed method includes basic algorithms for calculating the interrelationship of physical parameters of general natural draught between the trunks. The method includes: calculation of the draught’s power; calculation of productivity and the choice of the required mode of operation for the main fan unit (MFU) considering the inertia of the ventilation system; dynamic calculation of the control signal on the fan unit taking into account the impact of the general natural draught. The method is focused on the implementation of the TICK stack used to create IoT applications as part of the Cyber-Physical System (CPS) for ventilation based on the InfluxData platform. The proposed CPS architecture consists of four subsystems: physical object subsystem, IoT network and computing infrastructure - ICT infrastructure, digital twin, user interface. CPS architecture provides processing of data from energy meters, controllers and air environment parameters, implemented in on-line and off-line calculation units.
机译:本文考虑了地下采矿的动态通风系统。从采矿作业的安全性和节能的角度来看,该研究是有意义的,因为地下采矿公司的通风过程消耗了公司全部电力的30%至50%。现有的通风控制方法通常不能确保合理的能源消耗,因为它们没有考虑到空气分配的动力学和环境参数的变化。所提出的方法包括用于计算树干之间的一般自然吃水的物理参数的相互关系的基本算法。该方法包括:计算通风功率;考虑到通风系统的惯性,计算生产率并选择主风扇单元(MFU)所需的操作模式;考虑到一般自然通风的影响,对风扇单元上的控制信号进行动态计算。该方法的重点是基于InfluxData平台的TICK堆栈的实现,该堆栈用于创建物联网应用程序,作为通风的计算机物理系统(CPS)的一部分。提议的CPS体系结构由四个子系统组成:物理对象子系统,IoT网络和计算基础结构-ICT基础结构,数字孪生,用户界面。 CPS体系结构提供来自电表,控制器和空气环境参数的数据处理,以在线和离线计算单元实现。

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