Study on intelligent adaptability evaluation of intelligent coal mining working face based on ANP and matter-element extension model

To better address the relevance and fuzzy problems in the adaptability evaluation model for intellectualized mining of coal mine working faces,this paper proposes an evaluation index system consisting of four primary influence factors (geological conditions,mining technical conditions,key technologies and security,and management conditions) and their corresponding 16 secondary influence factors. An adaptive ANP network model for intelligent mining face is established to evaluate the adaptability of coal mine working faces. The adaptability evaluation is divided into four grades:I (best),II (good),III (general),and IV (poor). The relationship between the influencing factors is studied using the network analytic hierarchy process (ANP) and the YAANP software is used to calculate the weight of the influencing factors. To reduce the influence of personal factors on the evaluation score,a combination of ANP and matter-element extension model is used to evaluate the factors affecting adaptability. The various influence factors are evaluated for correlation degree and relational grade,and the adaptability of intellectualized mining of coal mine working faces is rated through comprehensive correlation. The ANP network model is applied to analyze 810 intelligent working faces of Shaanxi Huangling No. 1 coal mine. The comprehensive correlation degree of adaptability of intelligent mining face is calculated as K₁=0.06,K₂=-0.05,K₃=-0.61,and K₄=-0.77. The evaluation grade of adaptability of intelligent coal mining working face is determined to be I (best) through comparison with the evaluation standard analysis. The analysis results are consistent with the actual situation on site,indicating the feasibility and scientific basis of the established ANP network model for adaptability of intellectualized mining of coal mine working faces.