煤田自燃表征系统的灰关联模型及应用

Grey relation model for coalfield spontaneous combustion and its application

分析了适用于煤田自燃系统的关联分析方法,建立了煤田自燃表征系统灰关联模型和煤田自燃表征系统影响因子灰关联空间,确定了自燃表征系统灰关联分析因子为自燃深度、磁异常值、电异常值、地表温度和地表CO浓度,并以新疆某煤田四火区为案例,应用模型进行了计算,得出自燃深度关联序列依次为CO浓度、磁异常值、温度和电异常值。进而提出在进行火区监测时,应该将灭火前气体浓度值也列入监测范围,与磁探测共同应用有助于提高火区探测效率。

The association analysis method for coalfield spontaneous combustion system was analyzed.Then the grey relation model and the grey association space of influencing factors for coalfield spontaneous combustion were set up.The factor set was decided including spontaneous combustion depth,magnetic anomaly,electrical anomaly,surface temperature and monoxide concentration.The No.four fire area of one coalfield in Xinjiang Autonomous Region was selected to apply the grey association model.The grey association sequence with spontaneous combustion depth was carbon monoxide concentration,magnetic anomaly,temperature and electrical anomaly in turn.So the combination of concentration monitoring with magnetic detection would raise the detection accuracy of coalfield fire.