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机构地区:[1]天地科技股份有限公司开采设计事业部,北京100013
出 处:《煤炭科学技术》2016年第7期15-21,共7页Coal Science and Technology
基 金:国家重点基础研究发展计划(973计划)资助项目(2014CB046302)
摘 要:为实现煤矿少人化、智能化、无人化开采的目标,将互联网、大数据、云计算、人工智能化等与煤炭行业深度融合,结合红柳林煤矿大采高工作面自动化建设现状,通过分析研究将高清可视化技术、姿态监控技术、防碰撞技术、人员安全感知技术、EtherNet/IP通信技术、远程技术支持平台建设等关键技术应用于大采高工作面智能化升级改造设计,以实现工作面减人提效、安全高效自动化生产的建设目标。最终通过项目实施,总结"互联网+大采高工作面智能化"开采经验,将有力促进数字化智能化矿井建设,推进全国煤矿安全生产形势稳定好转和煤炭工业可持续发展。In order to realize a target with a less personnel, intelligent and unmanned mining in the coal mine, the internet, big data, cloud computing,artificial intelligent and others were in-depth integrated with the coal industry.In combination with the automation construction status of the high cutting coal mining face in Hongliulin Mine, with the analysis and study, the high definition visualization technology, atti- tude monitoring technology, anti- collision technology, personnel safety perception technology, EtherNet/IP communication technology, re- mote technology support platform construction and other technology were applied to the design on the intelligent upgrading reconstruction of the high cutting coal mining face in order to realize the target on the personnel reduction and efficiency improvement of the coal mining face and the safety and high efficient automatic production.Finally, with the project implemented, the paper summarized the mining experiences of the "internet plus high cutting coal mining face intelligent", which would powerfully promote the digitalized intelligent mine construction and promote the stable and go.3d safety production situation of the national coal mines and promote the sustainable development of coal in- dustry.
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