煤矿救灾机器人灾变环境侦测技术探讨
Discussion on disaster environment detection technology of coal mine rescue robot
【索引】郑学召,闫兴,崔嘉明,等.煤矿救灾机器人灾变环境侦测技术探讨[J].工矿qy288千亿国际,2019,45(10):29-32.
【Reference】ZHENG Xuezhao, YAN Xing, CUI Jiaming, et al. Discussion on disaster environment detection technology of coal mine rescue robot,2019,45(10):29-32.
【DOI】10.13272/j.issn.1671-251x.17477
【作者】 郑学召1,2,闫兴1,2,崔嘉明3,郭军1
【Author】 ZHENG Xuezhao1,2,YAN Xing1,2,CUI Jiaming3,GUO Jun1,2
【作者机构】1.西安科技大学 安全科学与工程学院, 陕西 西安7100542.国家矿山救援西安研究中心, 陕西 西安710054;3.中煤华晋集团有限公司 王家岭煤矿, 山西 运城043000
【Unit】1.College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an 710054, China; 2.Xi'an Research Center of National Mine Rescue, Xi'an 710054, China; 3.Wangjialing Coal Mine, China Coal Huajin Group Co., Ltd., Yuncheng 043000, China
【摘要】在分析传统的煤矿救灾机器人突水水源、火灾及瓦斯浓度侦测技术原理和特点的基础上,提出了基于无线自组网的煤矿救灾机器人突水水源侦测方法、基于大数据的煤矿救灾机器人火灾侦测方法、基于多源信息融合的煤矿救灾机器人瓦斯浓度侦测方法,可有效提高煤矿救灾机器人突水水源、火灾及瓦斯浓度侦测的准确率。指出了煤矿救灾机器人灾变环境侦测技术将深度融合云计算、人工智能、物联网等现代信息技术,从而全面提升煤矿救灾机器人灾变环境侦测结果的可靠性。
【Abstract】Based on analysis of principle and characteristics of traditional water inrush source, fire and gas concentration detection technologies of coal mine rescue robot, water inrush source detection method of coal mine rescue robot based on wireless ad-hoc network, fire detection method of coal mine rescue robot based on big data and gas concentration detection method of coal mine rescue robot based on multi-source information fusion were proposed, which could effectively improve accuracy of water inrush water, fire and gas concentration detection of coal mine rescue robot. It was pointed out that disaster environment detection technology of coal mine rescue robot would deeply integrate modern information technologies such as cloud computing, artificial intelligence and Internet of things, so as to comprehensively improve reliability of disaster environment detection results of coal mine rescue robot.
【关键词】 在分析传统的煤矿救灾机器人突水水源、火灾及瓦斯浓度侦测技术原理和特点的基础上,提出了基于无线自组网的煤矿救灾机器人突水水源侦测方法、基于大数据的煤矿救灾机器人火灾侦测方法、基于多源信息融合的煤矿救灾机器人瓦斯浓度侦测方法,可有效提高煤矿救灾机器人突水水源、火灾及瓦斯浓度侦测的准确率。指出了煤矿救灾机器人灾变环境侦测技术将深度融合云计算、人工智能、物联网等现代信息技术,从而全面提升煤矿救灾机器人灾变环境侦测结果的可靠性。
【Keywords】mine emergency rescue; coal mine accident; rescue robot; disaster environment detection; water inrush; fire; gas concentration
【文献出处】工矿qy288千亿国际,2019年10期
【基金】国家重点研发计划重点专项项目(2018YFC0808201);陕西省自然科学基础研究计划项目(2018JM5009,2018JQ5080)
【分类号】TD745/752/712
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