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基于数字孪生的煤矿安全管理研究

Research on coal mine safety management based on digital twin.

作者信息

Wang Jiaqi, Huang Yanli, Zhai Wenrui, Li Junmeng, Ouyang Shenyang, Gao Huadong, Liu Yahui, Wang Guiyuan

机构信息

State Key Laboratory of Coal Resources and Safe Mining, School of Mines, China University of Mining & Technology, Xuzhou, 221116, China.

College of Mining Engineering & Geology, Xinjiang Institute of Engineering, Urumqi, 830000, China.

出版信息

Heliyon. 2023 Feb 11;9(3):e13608. doi: 10.1016/j.heliyon.2023.e13608. eCollection 2023 Mar.

Abstract

Coal mine safety management is the foundation and decisive factor of coal mining. The manual detection model is the main way for traditional coal mine safety management, which has problems such as inefficient identification of safety risks in coal mines, poor control accuracy and slow response measures and so on. Therefore, to make up for the shortcomings in the traditional coal mine safety management model, this paper introduces digital twin technology into coal mine safety management to achieve intelligent and efficient management of coal mine safety accidents. Firstly, we introduce the digital twin technology, select the five-dimensional model as the modeling basis, based on the existing twin model architecture, analyze the types of coal mine accidents and disasters, select the most destructive gas accidents as the research object, construct a twin safety management model for coal mine gas accidents using the digital twin five-dimensional model. Secondly, analyses of the actual operation mechanism of the digital twin model, and the advantages of the twin model in achieving prior prevention, rapid response and accurate control of gas incidents are pointed out. Finally, the house of quality of the gas accident digital twin model is established through the quality functional deployment tool, and key technical requirements for the construction of the twin model are given to accelerate the application of the gas accident twin model in the field. This study innovatively introduces digital twin technology into the field of coal mine safety management, proposes the application scenarios of emerging technologies such as digital twins in the coal mine field, and provides the possibility of multi-scene application of smart mine construction and technologies such as digital twins.

摘要

煤矿安全管理是煤炭开采的基础和决定性因素。人工检测模式是传统煤矿安全管理的主要方式,存在煤矿安全风险识别效率低、控制精度差、应对措施响应慢等问题。因此,为弥补传统煤矿安全管理模式的不足,本文将数字孪生技术引入煤矿安全管理,以实现煤矿安全事故的智能高效管理。首先,介绍数字孪生技术,选择五维模型作为建模基础,基于现有的孪生模型架构,分析煤矿事故和灾害类型,选取破坏性最大的瓦斯事故作为研究对象,利用数字孪生五维模型构建煤矿瓦斯事故孪生安全管理模型。其次,分析数字孪生模型的实际运行机制,指出孪生模型在实现瓦斯事故事前预防、快速响应和精准控制方面的优势。最后,通过质量功能展开工具建立瓦斯事故数字孪生模型的质量屋,并给出孪生模型构建的关键技术要求,以加速瓦斯事故孪生模型在该领域的应用。本研究创新性地将数字孪生技术引入煤矿安全管理领域,提出数字孪生等新兴技术在煤矿领域的应用场景,为智能矿山建设和数字孪生等技术的多场景应用提供了可能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eb9/9988487/d0d98a67a558/gr1.jpg

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