煤炭智能化无人开采的现状与展望
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摘要
介绍了国外煤炭智能化无人开采技术发展现状和国内煤炭智能化无人开采技术进展,阐述了智能化无人开采的目标、技术模式与关键技术路径,提出了一种基于智能自适应开采技术模式的层次控制模型,并介绍了相关的关键技术。结合我国在煤炭智能化无人开采领域的实践探索经验,对煤炭智能化无人开采技术进行了展望。分析表明,我国目前正处于综采自动化结合远程可视化干预的智能化无人开采阶段,未来会朝智能自适应开采模式逐步发展演变,以最终实现真正的工作面智能化无人开采。
This paper introduced the development status of intelligent unmanned mining technology in foreign countries and the progress of domestic intelligent unmanned mining technology, expounded the target, technical mode and key technology path of intelligent unmanned mining, proposed a hierarchical control model based on intelligent adaptive mining technology mode, and introduced the relevant key technologies. Combined with the practical exploration experience in the field of intelligent unmanned mining at work face in China, the prospect of intelligent unmanned mining technology of working face was presented. The analysis showed that China is currently in the intelligent unmanned mining stage of fully mechanized mining automation combined with remote visual intervention, and it will gradually develop and evolve towards the intelligent auto-adaptive mining mode in the future, so as to finally realize the real intelligent unmanned mining at work face.
This paper introduced the development status of intelligent unmanned mining technology in foreign countries and the progress of domestic intelligent unmanned mining technology, expounded the target, technical mode and key technology path of intelligent unmanned mining, proposed a hierarchical control model based on intelligent adaptive mining technology mode, and introduced the relevant key technologies. Combined with the practical exploration experience in the field of intelligent unmanned mining at work face in China, the prospect of intelligent unmanned mining technology of working face was presented. The analysis showed that China is currently in the intelligent unmanned mining stage of fully mechanized mining automation combined with remote visual intervention, and it will gradually develop and evolve towards the intelligent auto-adaptive mining mode in the future, so as to finally realize the real intelligent unmanned mining at work face.
引文
[1] 王国法,张德生.煤炭智能化综采技术创新实践与发展展望[J].中国矿业大学学报,2018(3)
[2] 王虹.综采工作面智能化关键技术研究现状与发展方向[J].煤炭科学技术,2014 (1)
[3] 张良,李首滨,黄曾华等.煤矿综采工作面无人化开采的内涵与实现[J].煤炭科学技术,2014(9)
[4] 黄乐亭,黄曾华,张科学.大采高综采智能化工作面开采关键技术研究[J].煤矿开采,2016(1)
[5] 范京道,王国法,张金虎等.黄陵智能化无人工作面开采系统集成设计与实践[J].煤炭工程,2016(1)
[6] 黄曾华.综采工作面自动化控制技术的应用现状与发展趋势[J].工矿自动化,2013(10)
[7] 孙继平.煤矿信息化与自动化发展趋势[J].工矿自动化,2015(4)
[8] 牛剑锋.综采工作面直线度控制系统研究[J].工矿自动化,2015(5)
[9] 田成金,魏文艳,朱小林.基于SAC型液压支架电液控制系统的跟机自动化技术研究[J].煤矿开采,2012(2)
[10] 田成金.煤炭智能化开采模式和关键技术研究[J].工矿自动化,2016(11)
[11] 单天琦,靳远志,姜辉.薄煤层综采自动化设备在滨湖煤矿的研究与应用[J].山东工业技术,2017(1)
[12] 姜辉,姚永,刘道龙.薄煤层综采远程可视智能化三机配套设备的研究与应用[J].山东工业技术,2017(12)
[13] 宋兆贵.LASC技术在煤矿综采工作面自动化开采中的应用[J].神华科技,2018(10)
[14] 王国法,杜毅博.智慧煤矿与智能化开采技术的发展方向[J].煤炭科学技术,2019(1)
[15] 葛世荣,王忠宾,王世博.互联网+采煤机智能化关键技术研究[J].煤炭科学技术,2016(7)
[16] Ozgur Akkoyun,Nicola Caredu.Mine simulation for educational purposes:A case study[J].Comput Appl Eng Educ,2015(2)
[17] Li Wei,Luo Chengming,Yang Hai et al.Memory cutting of adjacent coal seams based on a hidden Markov model[J].Arabian Journal of Geosciences,2014(12)
[18] Queensland centre for advanced technologies.Qcat industry and research report[R].Queensland:CSIRO,2013
[19] Joy Global Inc.Joy advanced shearer automation[J].Coal International,2013 (1)
[20] Directorate-general for research and innovation.New mechanisation and automation of longwall and drivage equipment[R].Luxembourg:European Commission,2011
[2] 王虹.综采工作面智能化关键技术研究现状与发展方向[J].煤炭科学技术,2014 (1)
[3] 张良,李首滨,黄曾华等.煤矿综采工作面无人化开采的内涵与实现[J].煤炭科学技术,2014(9)
[4] 黄乐亭,黄曾华,张科学.大采高综采智能化工作面开采关键技术研究[J].煤矿开采,2016(1)
[5] 范京道,王国法,张金虎等.黄陵智能化无人工作面开采系统集成设计与实践[J].煤炭工程,2016(1)
[6] 黄曾华.综采工作面自动化控制技术的应用现状与发展趋势[J].工矿自动化,2013(10)
[7] 孙继平.煤矿信息化与自动化发展趋势[J].工矿自动化,2015(4)
[8] 牛剑锋.综采工作面直线度控制系统研究[J].工矿自动化,2015(5)
[9] 田成金,魏文艳,朱小林.基于SAC型液压支架电液控制系统的跟机自动化技术研究[J].煤矿开采,2012(2)
[10] 田成金.煤炭智能化开采模式和关键技术研究[J].工矿自动化,2016(11)
[11] 单天琦,靳远志,姜辉.薄煤层综采自动化设备在滨湖煤矿的研究与应用[J].山东工业技术,2017(1)
[12] 姜辉,姚永,刘道龙.薄煤层综采远程可视智能化三机配套设备的研究与应用[J].山东工业技术,2017(12)
[13] 宋兆贵.LASC技术在煤矿综采工作面自动化开采中的应用[J].神华科技,2018(10)
[14] 王国法,杜毅博.智慧煤矿与智能化开采技术的发展方向[J].煤炭科学技术,2019(1)
[15] 葛世荣,王忠宾,王世博.互联网+采煤机智能化关键技术研究[J].煤炭科学技术,2016(7)
[16] Ozgur Akkoyun,Nicola Caredu.Mine simulation for educational purposes:A case study[J].Comput Appl Eng Educ,2015(2)
[17] Li Wei,Luo Chengming,Yang Hai et al.Memory cutting of adjacent coal seams based on a hidden Markov model[J].Arabian Journal of Geosciences,2014(12)
[18] Queensland centre for advanced technologies.Qcat industry and research report[R].Queensland:CSIRO,2013
[19] Joy Global Inc.Joy advanced shearer automation[J].Coal International,2013 (1)
[20] Directorate-general for research and innovation.New mechanisation and automation of longwall and drivage equipment[R].Luxembourg:European Commission,2011