煤矿救灾机器人灾变环境侦测技术探讨

郑学召; 闫兴; 崔嘉明３; 郭军

doi:10.13272/j.issn.1671-251x.17477

煤矿救灾机器人灾变环境侦测技术探讨

doi: 10.13272/j.issn.1671-251x.17477

郑学召^{1, 2},
闫兴^{1, 2},
崔嘉明３,
郭军¹

1.
西安科技大学安全科学与工程学院，陕西西安国家矿山救援西安研究中心，陕西西安710054
2.
中煤华晋集团有限公司王家岭煤矿，山西运城043000

基金项目:

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）

详细信息

中图分类号: TD745/752/712
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出版历程
- 刊出日期: 2019-10-20

Discussion on disaster environment detection technology of coal mine rescue robot

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

摘要

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.
- mine emergency rescue /
- coal mine accident /
- rescue robot /
- disaster environment detection /
- water inrush /
- fire /
- gas concentratio