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煤矿瓦斯抽采智能系统设计 被引量:5

Design of Intelligent System for Gas Extraction in Coal Mine
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摘要 针对煤炭生产开采中的瓦斯安全问题,通过在抽采主管道、支管道等各个监测节点安装的传感器对抽采管路中的瓦斯浓度、气体温度、管道负压、混合流量等主要参数进行实时监测,由PLC作为核心控制器并利用隐马尔科夫模型(HMM)来处理分析相关数据,调节井下电动调节阀门的开度位置,进而控制管路中的瓦斯抽采浓度始终保持在抽采要求范围内,地面监控中心由组态软件创建上位机实时显示当前瓦斯抽采参数,最终实现瓦斯抽采智能监控。试验结果表明,随抽采过程的进行,矿井温度、负压的作用逐渐减弱,降低瓦斯的抽采负压能够有效提高抽采瓦斯浓度。 Aiming at the problem of gas safety in coal production and mining, the main parameters such as gas concentration, gas temperature, pipeline negative pressure, mixed flow in the extraction pipeline were monitored in real time by sensors installed in the main pipeline, branch pipeline and other monitoring nodes. PLC was used as the core controller and hidden Markov model(HMM) was used to process and analyze the relevant data, adjust the opening position of the underground electric control valve, and then control the concentration of gas extraction in the pipeline to always keep within the range of extraction requirements. The ground monitoring center creates the upper computer by the configuration software to display the current gas extraction parameters in real time, and finally realize the intelligent monitoring of gas extraction. The test results show that the effect of temperature and negative pressure gradually weakens with the process of gas extraction, and reducing the negative pressure of gas extraction can effectively improve the concentration of gas extraction.
作者 李卫龙 汪青 刘欣 张灿明 Li Weilong;Wang Qin;Liu Xin;Zhang Canming(Anhui Academy of Coal Science,Hefei 230001,China;Anhui Xinhua University,Hefei 230000,China)
出处 《煤矿机械》 2021年第8期14-17,共4页 Coal Mine Machinery
基金 2020年能源互联网联合基金(2008085UD14) 安徽省高等学校自然科学研究项目(KJ2020A0785)。
关键词 瓦斯浓度 管道负压 智能监控 瓦斯抽采 抽采负压 gas concentration negative pressure of pipeline intelligent monitoring gas extraction extraction negative pressure
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