Citation: | ZHANG Jintao, FU Xiang, WANG Ranfeng, et al. Manual regulation and control decision model of middle hydraulic support cluster automation in the intelligent working face[J]. Journal of Mine Automation,2022,48(10):20-25. doi: 10.13272/j.issn.1671-251x.17989 |
[1] |
王国法,范京道,徐亚军,等. 煤炭智能化开采关键技术创新进展与展望[J]. 工矿自动化,2018,44(2):5-12.
WANG Guofa,FAN Jingdao,XU Yajun,et al. Innovation progress and prospect on key technologies of intelligent coal mining[J]. Industry and Mine Automation,2018,44(2):5-12.
|
[2] |
王国法,庞义辉,任怀伟. 煤矿智能化开采模式与技术路径[J]. 采矿与岩层控制工程学报,2020,2(1):5-19.
WANG Guofa,PANG Yihui,REN Huaiwei. Intelligent coal mining pattern and technological path[J]. Journal of Mining and Strata Control Engineering,2020,2(1):5-19.
|
[3] |
王国法,刘峰,庞义辉,等. 煤矿智能化−煤炭工业高质量发展的核心技术支撑[J]. 煤炭学报,2019,44(2):349-357.
WANG Guofa,LIU Feng,PANG Yihui,et al. Coal mine intellectualization:the core technology of high quality development[J]. Journal of China Coal Society,2019,44(2):349-357.
|
[4] |
王国法. 煤矿智能化最新技术进展与问题探讨[J]. 煤炭科学技术,2022,50(1):1-27.
WANG Guofa. New technological progress of coal mine intelligence and its problems[J]. Coal Science and Technology,2022,50(1):1-27.
|
[5] |
葛世荣,郝尚清,张世洪,等. 我国智能化采煤技术现状及待突破关键技术[J]. 煤炭科学技术,2020,48(7):28-46.
GE Shirong,HAO Shangqing,ZHANG Shihong,et al. Status of intelligent coal mining technology and potential key technologies in China[J]. Coal Science and Technology,2020,48(7):28-46.
|
[6] |
王国法,徐亚军,张金虎,等. 煤矿智能化开采新进展[J]. 煤炭科学技术,2021,49(1):1-10.
WANG Guofa,XU Yajun,ZHANG Jinhu,et al. New development of intelligent mining in coal mines[J]. Coal Science and Technology,2021,49(1):1-10.
|
[7] |
任怀伟,王国法,赵国瑞,等. 智慧煤矿信息逻辑模型及开采系统决策控制方法[J]. 煤炭学报,2019,44(9):2923-2935.
REN Huaiwei,WANG Guofa,ZHAO Guorui,et al. Smart coal mine logic model and decision control method of mining system[J]. Journal of China Coal Society,2019,44(9):2923-2935.
|
[8] |
王国法,任怀伟,赵国瑞,等. 煤矿智能化十大“痛点”解析及对策[J]. 工矿自动化,2021,47(6):1-11.
WANG Guofa,REN Huaiwei,ZHAO Guorui,et al. Analysis and countermeasures of ten'pain points' of intelligent coal mine[J]. Industry and Mine Automation,2021,47(6):1-11.
|
[9] |
张帅,任怀伟,韩安,等. 复杂条件工作面智能化开采关键技术及发展趋势[J]. 工矿自动化,2022,48(3):16-25. doi: 10.13272/j.issn.1671-251x.2021090041
ZHANG Shuai,REN Huaiwei,HAN An,et al. Key technology and development trend of intelligent mining in complex condition working face[J]. Journal of Mine Automation,2022,48(3):16-25. doi: 10.13272/j.issn.1671-251x.2021090041
|
[10] |
路正雄,郭卫,张帆,等. 基于数据驱动的综采装备协同控制系统架构及关键技术[J]. 煤炭科学技术,2020,48(7):195-205.
LU Zhengxiong,GUO Wei,ZHANG Fan,et al. Collaborative control system architecture and key technologies of fully-mechanized mining equipment based on data drive[J]. Coal Science and Technology,2020,48(7):195-205.
|
[11] |
ZHANG Lin,WANG Zhongbin,TAN Chao,et al. A fruit fly-optimized kalman filter algorithm for pushing distance estimation of a hydraulic powered roof support through tuning covariance[J]. Applied Sciences,2016,6(10):299. doi: 10.3390/app6100299
|
[12] |
FAN Qigao,LI Wei,WANG Yuqiao,et al. Control strategy for an intelligent shearer height adjusting system[J]. Mining Science & Technology(China),2010,20(6):908-912.
|
[13] |
牛剑峰. 受汽车无人驾驶启发的液压支架智能协同控制[J]. 工矿自动化,2020,46(5):54-56,75.
NIU Jianfeng. Intelligent cooperative control of hydraulic support inspired by driveless car[J]. Industry and Mine Automation,2020,46(5):54-56,75.
|
[14] |
王统诚. 液压支架自动化跟机系统研究[D]. 青岛: 山东科技大学, 2018.
WANG Tongcheng. Research on hudraulic support automatic system[D]. Qingdao: Shandong University of Science and Technology, 2018.
|
[15] |
刘清,韩秀琪,徐兰欣,等. 综采工作面采煤机和液压支架协同控制技术[J]. 工矿自动化,2020,46(5):43-48.
LIU Qing,HAN Xiuqi,XU Lanxin,et al. Cooperative control technology of shear and hydraulic support on fully-mechanized coal mining face[J]. Industry and Mine Automation,2020,46(5):43-48.
|
[16] |
付翔,王然风,赵阳升. 液压支架群组跟机推进行为的智能决策模型[J]. 煤炭学报,2020,45(6):2065-2077.
FU Xiang,WANG Ranfeng,ZHAO Yangsheng. Intelligent decision-making model on the of hydraulic supports group advancing behavior to follow shearer[J]. Journal of China Coal Society,2020,45(6):2065-2077.
|