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煤矿瓦斯抽采系统智能管控研究现状及展望.

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Title: 煤矿瓦斯抽采系统智能管控研究现状及展望.
Alternate Title: Research status and prospect of intelligent management and control of coal mine gas extraction system.
Authors: 张慧杰1,2,3,4 zhjwell@126.com, 霍中刚1,2,3,4, 舒龙勇2,3,4, 申茂良2,3,4, 刘正帅2,3,4
Source: Coal Science & Technology (0253-2336). 2025 Supplement, Vol. 53, p104-116. 13p.
Subject Terms: *Gas extraction, *Automation, *Fault diagnosis, *Digital twin, *Big data, *Coal mining
Abstract (English): Intelligent control of coal mine gas extraction system is an inevitable requirement to realize intelligent, efficient and accurate gas extraction. At present, the gas extraction system has some problems, such as low automation, untimely fault identification and extensive management. In order to promote the development of intelligent management and control theory and technology of coal mine gas ex-traction system, the concept and characteristics of intelligent management and control of gas extraction system are summarized, and it is proposed that the intelligent management and control system of gas extraction system consists of three dimensions: function, technology and target, and is composed of five interrelated modules: information perception, data transmission, fusion analysis, application platform and remote control. The latest research progress of intelligent control theory, technology and equipment of coal mine gas extraction system is summarized from the aspects of gas extraction pipe network solution and control strategy, automatic fault diagnosis of gas extraction pipe network, intelligent control of gas extraction pipe network, automatic evaluation of gas extraction effect, etc. Based on this, the future development trend is proposed: Big data mining, deep learning and other technologies should be used to develop the optimization model of multi-information fusion of gas extraction system, and optimize the fault classification and identification of pumping pipe network and the system regulation model. To improve the monitoring automation of pumping pump stations, pumping pipelines and auxiliary equipment, and develop lightweight, integrated and intelligent sensors; Digital twin, 3D modeling and other technologies should be used to build a visual control model of mine gas extraction system, and digital, visual and graphical control should be carried out. Image recognition, automatic control and other technologies will be used to break through the multi-link barriers of gas extraction system monitoring, and the intelligent control platform of the whole process of gas extraction system will be developed. The mutual feeding mechanism of above-ground gas utilization and underground extraction should be studied, and the intelligent management and control of regional gas extraction pipe network should be tried. To explore the coupling mechanism of gas extraction and multi-disaster, develop multi-disaster sensing and prevention modules of extraction system management and control, the leap from single-system intelligence to multi-system intelligence should be realized. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 煤矿瓦斯抽采系统智能管控是实现智能、高效、精准瓦斯抽采的必然要求, 现阶段瓦斯抽采系统存在自动化程度低、故障辨识不及时、管理粗放等问题。为推动煤矿瓦斯抽采系统智能管控理论及技术发展, 总结凝练了瓦斯抽采系统智能管控的概念及特征, 提出瓦斯抽采系统智能管控体系包含功能、技术、目标 3 个维度, 由信息感知、数据传输、融合分析、应用平台和远程控制 5 个相互关联的模块组成。从瓦斯抽采管网解算及调控策略、瓦斯抽采管网故障自动诊断、瓦斯抽采管网智能调控和瓦斯抽采效果自动评价等方面综述了煤矿瓦斯抽采系统智能管控理论、技术、装备的最新研究进展。基于此, 提出未来发展趋势: 采用大数据挖掘、深度学习等技术, 开发瓦斯抽采系统 多元信息融合的优化模型, 优化抽采管网故障分类识别及系统调控模型; 完善抽采泵站、抽采管路、 附属设备的监测自动化程度, 发展轻型化、集成化、智能化的传感器; 采用数字孪生、三维建模等技术构建矿井瓦斯抽采系统管控可视化模型, 进行数字化、可视化、图形化管控; 采用图像识别、 自动化控制等技术, 打通瓦斯抽采系统监控多环节壁垒, 开发瓦斯抽采系统全流程智能管控平台; 研究地面瓦斯利用与井下抽采的互馈作用机制, 尝试应用区域化瓦斯抽采管网智能管控; 探索瓦斯抽采与多灾害的耦合作用机制, 开发抽采系统管控的多灾种感知及防控模块, 实现单系统智能向多系统智能的跨越。 [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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DbLabel: Energy & Power Source
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PubType: Academic Journal
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  Data: 煤矿瓦斯抽采系统智能管控研究现状及展望.
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  Data: Research status and prospect of intelligent management and control of coal mine gas extraction system.
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  Data: <searchLink fieldCode="AR" term="%22张慧杰%22">张慧杰</searchLink><relatesTo>1,2,3,4</relatesTo><i> zhjwell@126.com</i><br /><searchLink fieldCode="AR" term="%22霍中刚%22">霍中刚</searchLink><relatesTo>1,2,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22舒龙勇%22">舒龙勇</searchLink><relatesTo>2,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22申茂良%22">申茂良</searchLink><relatesTo>2,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22刘正帅%22">刘正帅</searchLink><relatesTo>2,3,4</relatesTo>
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  Data: *<searchLink fieldCode="DE" term="%22Gas+extraction%22">Gas extraction</searchLink><br />*<searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br />*<searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br />*<searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br />*<searchLink fieldCode="DE" term="%22Coal+mining%22">Coal mining</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: Intelligent control of coal mine gas extraction system is an inevitable requirement to realize intelligent, efficient and accurate gas extraction. At present, the gas extraction system has some problems, such as low automation, untimely fault identification and extensive management. In order to promote the development of intelligent management and control theory and technology of coal mine gas ex-traction system, the concept and characteristics of intelligent management and control of gas extraction system are summarized, and it is proposed that the intelligent management and control system of gas extraction system consists of three dimensions: function, technology and target, and is composed of five interrelated modules: information perception, data transmission, fusion analysis, application platform and remote control. The latest research progress of intelligent control theory, technology and equipment of coal mine gas extraction system is summarized from the aspects of gas extraction pipe network solution and control strategy, automatic fault diagnosis of gas extraction pipe network, intelligent control of gas extraction pipe network, automatic evaluation of gas extraction effect, etc. Based on this, the future development trend is proposed: Big data mining, deep learning and other technologies should be used to develop the optimization model of multi-information fusion of gas extraction system, and optimize the fault classification and identification of pumping pipe network and the system regulation model. To improve the monitoring automation of pumping pump stations, pumping pipelines and auxiliary equipment, and develop lightweight, integrated and intelligent sensors; Digital twin, 3D modeling and other technologies should be used to build a visual control model of mine gas extraction system, and digital, visual and graphical control should be carried out. Image recognition, automatic control and other technologies will be used to break through the multi-link barriers of gas extraction system monitoring, and the intelligent control platform of the whole process of gas extraction system will be developed. The mutual feeding mechanism of above-ground gas utilization and underground extraction should be studied, and the intelligent management and control of regional gas extraction pipe network should be tried. To explore the coupling mechanism of gas extraction and multi-disaster, develop multi-disaster sensing and prevention modules of extraction system management and control, the leap from single-system intelligence to multi-system intelligence should be realized. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Chinese)
  Group: Ab
  Data: 煤矿瓦斯抽采系统智能管控是实现智能、高效、精准瓦斯抽采的必然要求, 现阶段瓦斯抽采系统存在自动化程度低、故障辨识不及时、管理粗放等问题。为推动煤矿瓦斯抽采系统智能管控理论及技术发展, 总结凝练了瓦斯抽采系统智能管控的概念及特征, 提出瓦斯抽采系统智能管控体系包含功能、技术、目标 3 个维度, 由信息感知、数据传输、融合分析、应用平台和远程控制 5 个相互关联的模块组成。从瓦斯抽采管网解算及调控策略、瓦斯抽采管网故障自动诊断、瓦斯抽采管网智能调控和瓦斯抽采效果自动评价等方面综述了煤矿瓦斯抽采系统智能管控理论、技术、装备的最新研究进展。基于此, 提出未来发展趋势: 采用大数据挖掘、深度学习等技术, 开发瓦斯抽采系统 多元信息融合的优化模型, 优化抽采管网故障分类识别及系统调控模型; 完善抽采泵站、抽采管路、 附属设备的监测自动化程度, 发展轻型化、集成化、智能化的传感器; 采用数字孪生、三维建模等技术构建矿井瓦斯抽采系统管控可视化模型, 进行数字化、可视化、图形化管控; 采用图像识别、 自动化控制等技术, 打通瓦斯抽采系统监控多环节壁垒, 开发瓦斯抽采系统全流程智能管控平台; 研究地面瓦斯利用与井下抽采的互馈作用机制, 尝试应用区域化瓦斯抽采管网智能管控; 探索瓦斯抽采与多灾害的耦合作用机制, 开发抽采系统管控的多灾种感知及防控模块, 实现单系统智能向多系统智能的跨越。 [ABSTRACT FROM AUTHOR]
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      – SubjectFull: Gas extraction
        Type: general
      – SubjectFull: Automation
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      – SubjectFull: Fault diagnosis
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      – SubjectFull: Coal mining
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      – TitleFull: 煤矿瓦斯抽采系统智能管控研究现状及展望.
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              Text: 2025 Supplement
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