IoT-based Mine Ventilation Control System Architecture with Digital Twin

A. Kychkin, A. Nikolaev
{"title":"IoT-based Mine Ventilation Control System Architecture with Digital Twin","authors":"A. Kychkin, A. Nikolaev","doi":"10.1109/ICIEAM48468.2020.9111995","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":285590,"journal":{"name":"2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEAM48468.2020.9111995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于物联网的数字孪生矿井通风控制系统体系结构
本文研究了地下矿山的动态通风系统。从矿山安全与节能的角度来看,本研究具有重要意义,因为地下矿山企业通风过程耗电量占企业总用电量的30% ~ 50%。现有的通风控制方法往往不能保证合理的能源消耗,因为它们没有考虑到空气分布的动态和环境参数的变化。提出的方法包括计算树干间一般自然气流物理参数相互关系的基本算法。该方法包括:计算风势;考虑通风系统惯性的主风机机组(MFU)的生产率计算和所需运行方式的选择;动态计算控制信号对风机机组的影响,同时考虑一般自然风量的影响。该方法的重点是实现TICK堆栈,该堆栈用于创建物联网应用程序,作为基于InfluxData平台的通风网络物理系统(CPS)的一部分。提出的CPS架构由四个子系统组成:物理对象子系统,物联网网络和计算基础设施- ICT基础设施,数字孪生,用户界面。CPS架构提供来自电能表、控制器和空气环境参数的数据处理,在在线和离线计算单元中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Development of Water Submersible Gyro Generator of Combined Excitation for Energy Development of Small and Medium Rivers Development of Control System for a SEA-Joint Based on Active Damping Injection Alternative Transformer Theory Based on Poynting’s Theorem Synthesis of Algorithms and Optimal Control System of Start-Up Modes of Continuous Induction Installation Study of Power System Stability: Matlab Program Processing Data from Deir Ali Power Plant (Damascus-Syria)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1