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趋势面分析在煤矿瓦斯爆炸预警模型中的应用
引用本文:孙宇航,唐守锋,童敏明,童紫原,徐朝亮. 趋势面分析在煤矿瓦斯爆炸预警模型中的应用[J]. 中国矿业, 2019, 28(4)
作者姓名:孙宇航  唐守锋  童敏明  童紫原  徐朝亮
作者单位:中国矿业大学文昌校区,中国矿业大学文昌校区,中国矿业大学信控学院,澳大利亚新南威尔士大学信电学院,徐州翰林科技有限公司
基金项目:国家重点研究与发展项目(No.2016YFC0801808),
摘    要:针对常见的煤矿瓦斯爆炸问题,本文结合趋势面分析法建立瓦斯爆炸预警模型,并通过实际数据验证该模型,得出该模型具有较好的鲁棒特性。通过对瓦斯爆炸综合信息做数据融合,选取瓦斯及氧气浓度作为预警模型的关键性指标,并对有限的离散数据趋势面分析,建立了瓦斯和氧气浓度的趋势面预警模型,得到关键指标的分布特性,实现了对瓦斯潜在危险性的预测和预警。

关 键 词:煤矿瓦斯;趋势面分析;爆炸预警模型
收稿时间:2018-09-18
修稿时间:2018-12-15

Application of Trend Surface Analysis in Early Warning Model of Coal Mine Gas Explosion
sun yuhang,TANG Shoufeng,TONG Minming,TONG Ziyuan and XU Chaoliang. Application of Trend Surface Analysis in Early Warning Model of Coal Mine Gas Explosion[J]. CHINA MINING MAGAZINE, 2019, 28(4)
Authors:sun yuhang  TANG Shoufeng  TONG Minming  TONG Ziyuan  XU Chaoliang
Affiliation:China University of Mining and Technology Wenchang Campus,China University of Mining and Technology Wenchang Campus,China University of Mining and Technology,University of New South Wales, School of Communication and Electricity,New South Wales and Xuzhou Hanlin Technology Co, Ltd
Abstract:Aiming at the catastrophic problem of common coal mine gas explosion, this paper combines the trend surface analysis method to establish a gas explosion warning model, and validates the model through actual data, and the model has good robustness. Through the data fusion of the comprehensive information of gas explosion, the gas and oxygen concentration are selected as the key indicators of the early warning model, and the trend surface analysis of the finite discrete data is established. The trend surface warning model of gas and oxygen concentration is established, and the distribution of key indicators is obtained. Features that enable predictions and warnings of potential gas hazards.
Keywords:Coal mine gas  trend surface analysis   Explosion warning mode
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