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

被引：0

作者：

Zhang, Kexue ^{[1
,2
,3
,4
,5
,6
]}

Yan, Xingchen ^{[1
,3
,6
]}

He, Manchao ^{[2
]}

Chen, Xuexi ^{[1
,3
,6
]}

Jiang, Yaodong ^{[4
]}

Sun, Jiandong ^{[1
,3
,6
]}

Li, Dong ^{[1
,3
,6
]}

Wang, Xiaoling ^{[1
,3
,6
]}

Kang, Lei ^{[1
,3
,6
]}

Yang, Haijiang ^{[1
,3
,6
]}

Zhu, Jun'ao ^{[1
,3
,6
]}

Wu, Yongwei ^{[1
,3
,6
]}

Li, Juran ^{[1
,3
,6
]}

Yin, Yuhang ^{[1
,3
,6
]}

机构：

[1] Hebei Key Laboratory of Mine Intelligent Unmanned Mining Technology, North China Institute of Science and Technology, Beijing,101601, China

[2] State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology (Beijing), Beijing,100083, China

[3] Institute of Intelligent Unmanned Mining, North China Institute of Science and Technology, Beijing,101601, China

[4] State Key Laboratory of Coal Resources and Mine Safety, China University of Mining & Technology (Beijing), Beijing,100083, China

[5] China Coal Research Institute, Beijing,100013, China

[6] School of Mine Safety, North China Institute of Science and Technology, Beijing,101601, China

来源：

Journal of Mining and Strata Control Engineering | 2023年 / 5卷 / 02期

关键词：

Coal - Coal mines - Mining;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In order to better solve the intellectualized mining of coal mine working face adaptability evaluation model of relevance and fuzzy problems，put forward from the geological condition，mining technical condition，key technology and security，and management conditions of four primary influence factors and the corresponding 16 secondary influence factors of structure for the intellectualized mining of coal mine working face adaptability evaluation index system，The adaptive ANP network model of intelligent mining face is established. The adaptability evaluation grade of intelligent mining working face in coal mine is divided into four grades：I (best)，II (good)，III (general) and IV (poor). The network analytic hierarchy Process (ANP) was used to study the relationship between the influencing factors，and YAANP software was used to calculate the weight of the influencing factors of the adaptability of intelligent coal mining working face. In order to effectively reduce the reduce the influence of personal factors on the factors influencing the evaluation score，the network analytic hierarchy process (ANP) and the combination of matter-element extension model，evaluate the factors affecting adaptability for the intellectualized mining of coal mine working face，calculates the various influence factors of correlation degree and relational grade，again by comprehensive correlation for the intellectualized mining of coal mine working face adaptability for rating. 810 intelligent working face of Shaanxi Huangling No.1 coal mine is analyzed by ANP network model. Through calculation，the comprehensive correlation degree of adaptability of intelligent mining face is K1=0.06，K2=-0.05，K3=-0.61，K4=-0.77. By comparing the evaluation standard analysis，it is concluded that the evaluation grade of adaptability of intelligent coal mining working face is I (good)，and the analysis results are consistent with the actual situation on site，indicating that the established ANP network model of adaptability of intelligent coal mining working face is feasible and scientific to a certain extent. © 2022 Editorial Office of Journal of Mining and Strata Control Engineering. All rights reserved.

引用