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煤矿智能化综采装备系统及其可靠性分析 被引量:14

Research on intelligent fully mechanized coal mining equipment system and its reliability
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摘要 为明晰智能化综采装备系统可靠性的受控因素,根据其内涵和特征,从系统、装备、技术、环境等角度对智能化综采装备系统可靠性的影响因素进行分析。首先明确阐述了智能化综采装备系统的概念,指出其主要特征为以智能化单机综采装备为基础、以生产大数据为核心、以智能化综采装备的互联互通为关键、以智能化综采装备的精准协同控制为目标。根据智能化综采装备系统的内涵和特征,建立了包含综采装备可靠性、传感系统可靠性、控制系统可靠性、通信系统可靠性、生产数据融合度和装备系统与生产环境适应性等6个方面的智能化综采装备系统可靠性指标体系,分析了智能化综采装备系统可靠性的影响因素,并针对不同影响因素的特点提出目前亟需开展的研究方向。 In order to clarify the controlled factors of the reliability of intelligent fully mechanized mining equipment system,the influencing factors of the reliability of intelligent fully mechanized mining equipment system were analyzed from the perspectives of system,equipment,technology and environment based on its connotation and characteristics. Firstly,the concept of intelligent system of fully mechanized equipment is expounded clearly,and it is pointed out that,intelligent singlemachine fully mechanized mining equipment is the basis,big data production is the core,interconnected intelligent fully mechanized mining equipment is the key,and precise cooperative control of intelligent fully mechanized mining equipment is the target. According to the connotation and characteristics of the intelligent fully mechanized mining equipment system,a reliability index system of intelligent fully mechanized mining equipment system is established,including six aspects: reliability of fully mechanized mining equipment,reliability of sensor system,reliability of control system,reliability of communication system,fusion degree of production data,fusion degree of equipment and environment,and some research directions are proposed according to the characteristics of different sub factors.
作者 焦承尧 王永强 张幸福 黄莹 JIAO Cheng-yao;WANG Yong-qiang;ZHANG Xing-fu;HUANG Ying(Zhengzhou Coal Mining Machine^Group Co.,Ltd.,Zhengzhou 450000,China)
出处 《煤炭工程》 北大核心 2022年第2期166-171,共6页 Coal Engineering
基金 河南省科技攻关项目“超高端液压支架研究与应用”(152102210175) 郑州市2020年度重大科技创新专项“煤矿工作面一体化智能综采成套装备的研究及应用”(2020CXZX0042)。
关键词 智能化开采 智能化综采装备 可靠性 融合度 可靠性指标 intelligent mining intelligent fully mechanized mining equipment reliability fusion degree reliability index
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