智能化无人开采工作面适用性多层次模糊综合评价研究  

Research on multi-level fuzzy comprehensive evaluation of the applicability of intelligent unmanned mining face

作　　者：张科学 王晓玲[1,4] 何满潮 尹尚先[1,4] 李首滨[3] 孙健东[1,4] 李东 程志恒[1,4] 赵启峰 殷帅峰 亢磊[1,4] 朱俊傲[1,4] 杨海江 ZHANG Kexue;WANG Xiaoling;HE Manchao;YIN Shangxian;LI Shoubin;SUN Jiandong;LI Dong;CHENG Zhiheng;ZHAO Qifeng;YIN Shuaifeng;KANG Lei;ZHU Jun'ao;YANG Haijiang(Institute of Intelligent Unmanned Mining,North China Institute of Science and Technology,Beijing 101601,China;State Key Laboratory for Geomechanics and Deep Underground Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China;China Coal Research Institute,Beijing 100013,China;School of Safety Engineering,North China Institute of Science and Technology,Beijing 101601,China;State Key Laboratory of Coal Resources and Mine Safety,China University of Mining&Technology(Beijing),Beijing 100083,China;Key Laboratory of Safety and High-efficiency Coal Mining,Ministry of Education(Anhui University of Science and Technology),Huainan 232001,China)

机构地区：[1]华北科技学院智能化无人开采研究所,北京101601 [2]中国矿业大学(北京)深部岩土力学与地下工程国家重点实验室,北京100083 [3]煤炭科学研究总院,北京100013 [4]华北科技学院安全工程学院,北京101601 [5]中国矿业大学(北京)煤炭资源与安全开采国家重点实验室,北京100083 [6]煤矿安全高效开采省部共建教育部重点实验室(安徽理工大学),安徽淮南232001

出　　处：《采矿与岩层控制工程学报》2021年第1期43-52,共10页Journal of Mining and Strata Control Engineering

基　　金：国家自然科学基金资助项目(51804160,51704159);国家重点研发计划资助项目(2016YFC0801401);中国博士后科学基金面上资助项目(2017M620955);中央高校基本科研业务费资助项目(3142019009);河北省自然科学基金资助项目(E2019508209);深部岩土力学与地下工程国家重点实验室(北京)开放基金资助项目(SKLGDUEK1822);煤炭资源与安全开采国家重点实验室开放基金资助项目(SKLCRSM16KFD08)。

摘　　要：为了科学合理评价智能化无人开采工作面的适用性,在综合考虑工作面关键影响因素的前提下,针对智能化无人开采工作面适用性的具体状况,提出层次分析法与模糊综合评价相结合的智能化无人开采工作面适用性评价方法。通过合理地分析选取智能化无人开采工作面的地质条件、巷道布置体系、开采参数、采煤工艺、装备配套、关键技术、保障体系、组织管理作为评价指标,从而确定评价因子,给出主要因素的隶属度确定方法,采用层次分析法构造评价目标的判断矩阵,合理地分配各因素的权重,充分考虑各方面影响因素,建立了智能化无人开采工作面适用性的综合评价模型。将该数学模型应用到智能化无人开采工作面适用性中,对适用性做出好、较好、一般、差的定量评价,可提高智能化无人开采工作面的适用性。利用综合评价指标体系,可以更好地论述模糊综合评价方法的有效性及智能化无人开采工作面适用性的应用前景,为模糊综合评价方法在智能化无人开采系统工程中的推广应用拓展思路。应用工程实例对该方法进行验证,得出1号煤矿802工作面的最大隶属度指数为0.64,分析结果表明其评价结果和现场应用效果一致。An intelligent unmanned mining face applicability evaluation method combined the analytic hierarchy process and fuzzy comprehensive evaluation are proposed,aiming to evaluate the applicability of the intelligent unmanned mining face.The key influencing factors of the longwall face has been taken into consideration with the applicability of the intelligent unmanned longwall face.The geological conditions,roadway layout system,mining parameters,coal mining technology,equipment support,key technology,support system,and organization management of intelligent unmanned mining face were selected as evaluation indicators to determine the evaluation factors.The analytic hierarchy process is used to construct the judgment matrix of the evaluation target,the weight of each factor is reasonably distributed,and the influencing factors of all aspects are fully considered to establish a comprehensive evaluation model for the applicability of intelligent unmanned mining face.This mathematical model is applied to the applicability of intelligent unmanned longwall face,and the applicability can be quantitatively evaluated as good,good,general,and poor,which can improve the applicability of intelligent unmanned longwall face.Using the comprehensive evaluation index system,we can better discuss the validity of the fuzzy comprehensive evaluation method and the application prospects of the applicability of intelligent unmanned mining face,which is the extension and application of the fuzzy comprehensive evaluation method in the intelligent unmanned mining system engineering.The method is verified by an engineering example,and the maximum membership index of the 802 longwall face at the No.1 coal mine is 0.64.The analysis result shows that the evaluation result is consistent with the field application effect.

关 键 词：智能开采 无人开采 适用性 层次分析法 模糊综合评价 

分 类 号：TD821[矿业工程—煤矿开采]