煤田火灾无人机监测关键技术研究
Research on key technologies of unmanned aerial vehicle monitoring of coalfield fire
【索引】贾勇骁,郑学召,崔嘉明,等.煤田火灾无人机监测关键技术研究[J].工矿千亿国际app下载,2019,45(9):30-33.
【Reference】JIA Yongxiao, ZHENG Xuezhao, CUI Jiaming, et al. Research on key technologies of unmanned aerial vehicle monitoring of coalfield fire[J].Industry and Mine Automation,2019,45(9):30-33.
【DOI】10.13272/j.issn.1671-251x.17473
【作者】 贾勇骁1,2,郑学召1,2,崔嘉明3,郭军1,2,费金彪1,2
【Author】 JIA Yongxiao1,2,ZHENG Xuezhao1,2,CUI Jiaming3,GUO Jun1,2,FEI Jinbiao1,2
【作者机构】1.西安科技大学 安全科学与工程学院, 陕西 西安710054;2.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】针对现有煤田火灾无人机监测技术存在的续航时间短、数据采集周期较长、红外热图像精确度不高、数据传输和处理速度慢等问题,研究了基于单一/集群飞行的无人机监测技术、红外及可见光双视监测技术及基于4G网络的数据传输与处理技术。设计了无人机多站多机集群飞行方式,通过航线规划和独立控制实现对大面积煤田区域的快速监测;采用红外双视热成像仪进行数据采集,无人机在等间距航点处悬停时触发红外双视热成像仪拍照采集红外热图像和可见光图像;以4G网络作为信号传输渠道,依靠数据采集前端和数据处理软件的协同作用,实现数据采集、传输和处理的同步。现场应用结果表明,2台无人机采集254张红外热图像和254张可见光图像,完成数据采集和图像前期处理耗时150 min,图像合成耗时10 h,与现有技术相比,极大缩短了监测时间;采集的红外热图像所显示的温度与实地温度测试结果重合度在90%以上,表明利用无人机进行煤田火灾监测是有效、可行的。
【Abstract】In view of problems of short endurance time, long period of data collection, low accuracy of infrared thermal image and slow data transmission and processing of existing technologies of unmanned aerial vehicle(UAV) monitoring of coalfield fire, UAV monitoring technologies based on single/cluster flight, infrared and visible light dual vision monitoring technology, data transmission and processing technology based on 4G network were studied. Multi-station multi-machine cluster flight mode of UAV is designed, and rapid monitoring of large-area coalfield area is realized through route planning and independent control. Data acquisition is carried out by infrared dual-view thermal imager, the UAV triggers infrared dual-view thermal imager to capture infrared thermal images and visible light images when hovering at an equally spaced waypoint.4G network is used as signal transmission channel, and data acquisition front end and data processing software are synergistically used to realize synchronization of data collection, transmission and processing. Field application results show that two UAVs collect 254 infrared thermal images and 254 visible light images, the data acquisition and image pre-processing takes 150 minutes, and the image synthesis takes 10 hours, monitoring time is greatly shortened compared with existing technology; Coincidence degree of temperature displayed by infrared thermal image and the field temperature test result is above 90%, indicating that using UAV for coalfield fire monitoring is effective and feasible.
【关键词】 煤田火灾监测; 无人机; 集群飞行; 航线规划; 红外及可见光双视监测; 4G网络传输
【Keywords】monitoring of coalfield fire; unmanned aerial vehicle; cluster flight; route planning; infrared and visible light dual vision monitoring; 4G network transmission
【文献出处】工矿千亿国际app下载,2019年9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】TD75
本网站仅提供本刊2009年之后的全文下载,其它年份的全文下载将自动转到中国知网。中国知网不支持迅雷等加速下载工具,请取消加速工具后下载。
【关 闭】