孙宇航, 唐守锋, 童紫原, 童敏明, 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): 131-134. DOI: 10.12075/j.issn.1004-4051.2019.04.017
    引用本文: 孙宇航, 唐守锋, 童紫原, 童敏明, 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): 131-134. DOI: 10.12075/j.issn.1004-4051.2019.04.017
    SUN Yuhang, TANG Shoufeng, TONG Ziyuan, TONG Minming, XU Chaoliang. Application of trend surface analysis in early warning model of coal mine gas explosion[J]. CHINA MINING MAGAZINE, 2019, 28(4): 131-134. DOI: 10.12075/j.issn.1004-4051.2019.04.017
    Citation: SUN Yuhang, TANG Shoufeng, TONG Ziyuan, TONG Minming, XU Chaoliang. Application of trend surface analysis in early warning model of coal mine gas explosion[J]. CHINA MINING MAGAZINE, 2019, 28(4): 131-134. DOI: 10.12075/j.issn.1004-4051.2019.04.017

    趋势面分析在煤矿瓦斯爆炸预警模型中的应用

    Application of trend surface analysis in early warning model of coal mine gas explosion

    • 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。

       

      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.

       

    /

    返回文章
    返回