Research on the early warning algorithm for gas overlimit at upper corner of fully mechanized caving face based on contrast ratio-region uniformity graph analysis
The ventilation in the upper corners of the fully mechanized caving face is difficult,leading to difficult gas discharge and gas accumulation.When the gas concentration reaches a certain level,it is easy to trigger gas overlimit events or even gas explosion accidents,posing a serious threat to underground workers and equipment.To address this issue,an early warning algorithm for gas overlimit at upper corner of the fully mechanized caving face was proposed based on the analysis of the contrast ratio-region uniformity graph.Using the spatiotemporal Kriging interpolation method.a gas data point interpolation model for the upper corner of the fully mechanized caving face was constructed,and the known data of the working face was used to obtain information about the gas sampling points,and the spatiotemporal correlation between each sampling point was characterized by spatiotemporal variation function and spatiotemporal covariance function to estimate the spatiotemporal information of the unknown sampling points.The Matron model was used to fit all sampling points to obtain a gas contrast ratio-region uniformity graph for the upper corner of the caving facea,and the gas concentration in the corner of the caving face was clarified by using the graph,and its risk level was determined by evaluation criteria,and corresponding prevention measures were initiated.The experimental results showed that the contrast ratio-region uniformity graph analysis can accurately predict the gas concentration and variation characteristics at upper corner,and the early warning accuracy is high.
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