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金属矿山 ›› 2026, Vol. 55 ›› Issue (5): 30-43.

• • 上一篇    下一篇

选煤车间粉尘综合防控技术进展与展望

李世航1,2,3 柴佳华2 何 畅2 周 刚4 佘晓东3 张 旭2 户书达1   

  1. 1. 中国矿业大学江苏省煤基温室气体减排与资源化利用重点实验室,江苏 徐州 221008;2. 中国矿业大学环境与测绘学院,
    江苏 徐州 221116;3. 中国矿业大学安全工程学院,江苏 徐州 221116;4. 山东科技大学安全与环境工程学院,山东 青岛 266590
  • 出版日期:2026-05-15 发布日期:2026-06-02
  • 通讯作者: 户书达(1995—),男,博士后。
  • 作者简介:李世航(1990—),男,教授,博士,博士研究生导师。
  • 基金资助:
    国家自然科学基金面上项目(编号:52474259,52174215);国家自然科学基金青年科学基金项目(编号:52404265);江苏省自然科学基金青年项目(编号:BK20241648);“十四五” 国家重点研发计划项目(编号:2023YFC3010604);中国博士后科学基金项目(编号:
    2024M763559)。

Development and Prospect of Comprehensive Dust Prevention and Control Technology in Coal Preparation Plant

LI Shihang1,2,3 CHAI Jiahua2 HE Chang2 ZHOU Gang4 SHE Xiaodong3 ZHANG Xu2 HU Shuda1   

  1. 1. Jiangsu Key Laboratory of Coal-based Greenhouse Gas Control and Utilization,China University of Mining and Technology,
    Xuzhou 221008,China;2. School of Environment and Spatial Informatics,China University of Mining and Technology,
    Xuzhou 221116,China;3. School of Safety Engineering,China University of Mining and Technology,Xuzhou 221116,China;
    4. College of Safety and Environmental Engineering,Shandong University of Science and Technology,Qingdao 266590,China
  • Online:2026-05-15 Published:2026-06-02

摘要: 煤炭作为我国主体能源,在支撑国民经济快速发展的同时,其生产过程中破碎、筛分、运输等多个工序
环节因物料动能转换、机械摩擦及气流扰动等因素,会持续释放组分复杂的高浓度粉尘,严重危害工作人员职业健
康。选煤车间作业区粉尘浓度普遍超标,其危害已从单一的职业健康问题演变为涉及安全生产、生态环境与经济效
益的多维度挑战,推动粉尘防治技术的系统化、智能化升级成为“十四五”以来行业绿色转型的重点任务。结合选煤
车间粉尘防治技术的最新进展以及团队研究积累,分析了给煤、转载、输送带运输、筛分及破碎等关键工序的产尘机
制与规律,总结了煤质特性及环境因素对产尘量的显著影响规律,梳理了当前主流粉尘防治技术及其在关键尘源的
应用现状与协同治理策略。研究表明:① 给煤、转载、输送带运输、筛分及破碎等选煤车间关键工序的产尘机制均与
煤料碰撞摩擦、气流扰动及设备结构特性相关,具体表现为煤料下落碰撞引发颗粒剥离与诱导气流、设备间隙及运动
产生气流扰动导致粉尘扩散、高频振动及结构落差加剧粉尘飞扬等。② 煤质特性中,煤含水量与产尘量呈负相关,煤
流量越大、煤块粒度越小则产尘量越高。在设备工艺参数方面,产尘量与输送带速度、转载点及溜槽落差呈正相关,当
溜槽倾角偏离最佳范围、破碎机转速过高或齿板间隙过大、振动筛振幅及频率超出阈值时,产尘量均会显著增加。
③ 针对给煤、转载、输送、筛分、破碎不同尘源需采取针对性防治技术,且多种技术协同应用可显著提升粉尘防治效
果。在此基础上,剖析了现有研究存在的不足,并展望了“十五五”乃至更长一段时间的发展方向。当前选煤车间粉
尘防治技术仍存在智能感知不足、材料性能局限、系统协同性差、个体防护落后、绿色效能薄弱等关键问题,制约了粉
尘治理效果的进一步提升与可持续发展。未来的研究应聚焦于:① 智能感知与精准调控,利用物联网、大数据、云计
算和人工智能技术,实现粉尘排放的实时识别、监测和分析,引入人工智能算法,实现除尘设备参数自适应调整,实现
除尘效果的最优化;② 材料研发与结构设计,建立从分子尺度到宏观尺度的多层级设计理论,构建材料服役性能与环
境参数的耦合模型,融合表面科学、振动疲劳理论、可控释放技术开发具有高效梯度结构的过滤材料;③ 系统集成与
协同治理,推动单一粉尘防治技术向多技术耦合的系统化方向发展,构建“源头控制—过程抑制—末端净化”全链条
粉尘防控网络;④ 个体防护与智能监测,职业安全防护理念应从被动防护向“高效低阻、智能适配、舒适安全”方向发
展,开发高效低阻的新型过滤材料和优化口罩结构,结合体外环境数据和可穿戴生理参数监测数据,建立早期健康风
险预警模型,形成“设备防护+人体监测”的双重保护模式;⑤ 绿色低碳与可持续化发展,将智能控制策略及精细化气
流组织设计理念与高效除尘设备研发深度集成,通过多维度技术创新实现粉尘精准治理与矿山节能降耗协同推进,
助力实现选煤车间粉尘防控的低能耗、高效率、零污染愿景。

关键词:
选煤厂 ,
关键尘源 , 产尘特性 , 除尘技术 , 综合治理

Abstract: As the main energy source in China,coal supports the rapid development of the national economy. At the same time,the crushing,screening,transportation and other processes in the production process will continue to release high concentration
dust with complex components due to factors such as material kinetic energy conversion,mechanical friction and airflow
disturbance,which seriously endangers the occupational health of staff. The dust concentration in the operation area of coal
preparation plants generally exceeds standards,and its harm has evolved from a single occupational health issue into a multi-dimensional
challenge involving safety production,ecological environment,and economic benefits. Promoting systematic and intelligent
upgrades in dust prevention and control technology has become a key task for the industry′s green transformation since
the implementation of the 14th Five-Year Plan. The systematic upgrading of dust prevention and control technology is imminent.
Combined with the latest progress of dust prevention and control technology in coal preparation workshop and the accumulation
of team research,the dust production mechanism and law of key processes such as coal feeding,reloading,conveyor belt
transportation,screening and crushing are analyzed. The significant influence of coal quality characteristics and environmental
factors on dust production is summarized. The current mainstream dust prevention and control technology and its application
status and collaborative governance strategy in key dust sources are sorted out. Research shows that:① The dust generation
mechanism of key processes in coal processing plant such as coal feeding,transfer,conveyor transportation,screening and
crushing are all related to coal collision and friction,airflow disturbance and equipment structural characteristics,which are
specifically manifested in the collision of falling coal material triggering particles stripping and induced airflow,airflow disturbance
caused by the gap and movement of equipment leading to the diffusion of dust,and high-frequency vibration and structure
of the fallout to aggravate the dust flight,and so on. ② In the coal quality characteristics,the water content of coal is negatively
correlated with the dust production. The larger the coal flow rate and the smaller the coal particle size,the higher the dust production.
In terms of equipment process parameters,dust production is positively correlated with conveyor belt speed,transfer
point and chute drop. When the chute inclination angle deviates from the optimal range,the crusher speed is too high or the
tooth plate gap is too large,and the amplitude and frequency of the vibrating screen exceed the threshold,the dust production
will increase significantly. ③ Targeted dust control technologies must be implemented for different dust sources such as coal
feeding,transfer,conveying,screening,and crushing. The synergistic application of multiple technologies can significantly enhance
dust control effectiveness. Building on this foundation,the paper analyzes the shortcomings of existing research and outlines
the development direction for the 15th Five-Year Plan period and beyond. Current dust control technologies in coal preparation
plants still face critical challenges,including insufficient intelligent sensing capabilities,limitations in material performance,
poor system coordination,outdated personal protective equipment,and weak green efficiency. These issues constrain further
improvements in dust management effectiveness and sustainable development. Future research should focus on:① Intelligent
sensing and precise control,utilizing IoT,big data,cloud computing,and artificial intelligence technologies to achieve realtime
identification,monitoring,and analysis of dust emissions. By incorporating AI algorithms,adaptive adjustment of dust removal
equipment parameters can be realized to optimize dust removal efficiency. ② Material development and structural design,
establish a multi-level design theory spanning from the molecular to the macroscopic scale,construct a coupled model
linking material performance to environmental parameters,and integrate surface science,vibration fatigue theory,and controlled
release technology to develop filtration materials featuring highly efficient gradient structures. ③ System integration and collaborative
governance will drive the evolution of single dust control technologies toward multi-technology coupling and systematic
approaches,establishing a comprehensive dust prevention and control network encompassing "source control-process suppression-
end-of-pipe purification". ④ Personal protection and smart monitoring,occupational safety protection should evolve from
passive defense toward "high efficiency,low resistance,intelligent adaptation,and comfortable safety". Develop new high-efficiency,
low-resistance filter materials and optimize mask structures. Integrate external environmental data with wearable physiological
parameter monitoring to establish early health risk warning models,forming a dual-protection model of "equipment protection+
human monitoring". ⑤ Green,low-carbon,and sustainable development integrates intelligent control strategies and precision
airflow organization design concepts with the development of high-efficiency dust removal equipment. Through multidimensional
technological innovation,it achieves precise dust control and synergistically advances energy conservation and consumption
reduction in mining operations,supporting the vision of low-energy consumption,high efficiency,and zero pollution in
coal preparation plant dust prevention and control.

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