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综放工作面煤矸识别技术及其应用

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综放工作面煤矸识别技术作为智能放煤开采的关键技术,已经成为煤炭智能开采领域的技术难题。首先介绍了综放工作面煤矸识别技术的重要性及其对生产安全和经济效益的影响。随后,指出了该技术目前存在的问题和挑战,如难以识别不同形状、颜色和深度的煤块和岩层;识别过程中噪声和复杂背景的影响等。详细阐述了综放工作面煤矸识别技术的主要方法如射线法、视觉法和振动与声音信号法。通过对煤矸识别方法的原理、技术特点和优缺点等方面进行分析,全面评估了当前综放工作面煤矸识别技术的应用现状以及各种方法的适用条件和存在的问题。最后,探讨了该技术的未来发展趋势,强调了多传感器融合、深度学习和智能决策与实时监测作为当前技术发展的主要方向。
Coal gangue identification technology and its application in fully-mechanized coal mining face
As the key technology of intelligent coal mining,gangue recognition technology has become a technical challenge in the field of intelligent coal mining.This paper firstly introduces the importance of coal gangue recognition technology and its impact on production safety and economic benefits.Subsequently,it points out such existing problems and challenges as the difficulty of identifying coal lumps and rock seams with different shapes,colors and depths,and the influence of noise as well as complex background in the process of identification,etc.In the next section,it describes in detail the key problems of coal gangue identification technology for integrated face mining.Next,the main methods of coal gangue recognition technology in comprehensive discharge working face are elaborated in detail:ray method,visual method,and vibration and sound signal method.By analyzing the principle,technical characteristics,advantages and disadvantages of gangue recognition methods,the current application status of gangue recognition technology in the comprehensive discharge working face,as well as the applicable conditions and problems of various methods are comprehensively evaluated.Finally,this paper discusses the future trend of this technology by emphasizing multi-sensor fusion,deep learning,intelligent decision-making and real-time monitoring as the core of current technological development.

consolidated working facecoal miningcoal gangue identificationcoal gangue mixture

李嘉豪、司垒、王忠宾、魏东、顾进恒

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中国矿业大学机电工程学院 徐州 221116

综放工作面 煤炭开采 煤矸识别 煤矸混合物

国家自然科学基金面上项目国家自然科学基金面上项目江苏省自然科学基金面上项目中国矿业大学研究生创新计划徐州市基础研究计划

5207427152174152BK20211245KYCX22_2517KC23051

2024

仪器仪表学报
中国仪器仪表学会

仪器仪表学报

CSTPCD北大核心
影响因子:2.372
ISSN:0254-3087
年,卷(期):2024.45(1)
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