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易自燃厚煤层工作面自然发火CO预测及防治
引用本文:郭军,程小蛟,武剑,樊世星,王伟峰. 易自燃厚煤层工作面自然发火CO预测及防治[J]. 中国安全生产科学技术, 2018, 14(4): 75-81. DOI: 10.11731/j.issn.1673-193x.2018.04.012
作者姓名:郭军  程小蛟  武剑  樊世星  王伟峰
作者单位:(1.西安科技大学 安全科学与工程学院,陕西 西安 710054;2.教育部西部矿井开采及灾害防治重点实验室,陕西 西安 7100543;3. 兖煤菏泽能化有限公司 赵楼煤矿安监处,山东 菏泽,274000)
摘    要:
为了有效预防遗煤自燃,深入研究自然发火初期的CO预测技术。基于回风隅角CO源的理论模型,以Gambit建立相似二维采场模型,数值模拟了采空区自燃“三带”范围,并采用现场束管监测手段对结果进行了验证。利用程序升温实验获得了不同温度段回风隅角CO的极限指标,并与现场实测值对比分析,进而预判采空区遗煤发火程度,为制定有针对性的防治措施提供理论指导。研究结果表明:CO作为低温氧化阶段预测指标对预防遗煤自燃具有重要作用。

关 键 词:煤自燃  厚煤层  CO预测技术  数值模拟  自燃三带

CO prediction and control of spontaneous combustion in mining face of thick coal seam inclined to spontaneous combustion
GUO Jun1,2,CHENG Xiaojiao1,2,WU Jian3,FAN Shixing1,2,WANG Weifeng1,2. CO prediction and control of spontaneous combustion in mining face of thick coal seam inclined to spontaneous combustion[J]. Journal of Safety Science and Technology, 2018, 14(4): 75-81. DOI: 10.11731/j.issn.1673-193x.2018.04.012
Authors:GUO Jun1  2  CHENG Xiaojiao1  2  WU Jian3  FAN Shixing1  2  WANG Weifeng1  2
Affiliation:(1.College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an Shaanxi 710054, China;2.Key Laboratory of Western Exploration and Hazard Prevention, Ministry of Education, Xi’an Shaanxi 710054, China;3.Department of Safety Supervision, Zhaolou Coal Mine, Yanzhou Coal Mining Company Limited Heze Energy and Chemical Co., Ltd., Heze Shandong 274000, China)
Abstract:
In order to effectively prevent the spontaneous combustion of residual coal, the CO prediction technology in the early stage of spontaneous combustion was deeply studied. Based on the theoretical model of CO sources at the return air corner, a similar two-dimensional stope model was established with Gambit to numerically simulate the range of“three zones”of coal spontaneous combustion in the goaf, and the results were verified by using the on-site beam tube monitoring methods. The limit indexes of CO at the return air corner in different sections of temperature were obtained by using the temperature programmed experiments, and they were compared and analyzed with the on-site measured values, thus the combustion degree of residual coal in the goaf was prejudged, so as to provide the theoretical guidance for the development of targeted prevention and control measures. The results showed that CO as the prediction index of the low temperature oxidation stage plays an important role for preventing the spontaneous combustion of residual coal.
Keywords:coal spontaneous combustion   thick coal seam   CO prediction technology   numerical simulation   “three zones”of coal spontaneous combustion
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