Research status and development trend of mine detection unmanned aerial vehicle
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摘要: 通过分析矿井侦测无人机动力系统、定位系统、环境监测系统及通信系统等的国内外研究现状，指出了矿井侦测无人机存在续航能力不足、定位精度差、信息感知能力弱、信息数据传输性能差等问题。展望了矿井侦测无人机的发展趋势：① 新能源或新型供电技术的应用。对整个电源管理系统进行更加高效合理的优化，实时侦测用电设备的耗电情况，提高用电的高效性，延长侦测无人机的续航时间，并满足防爆性能。② 基于协同导航搜索的无人机集群系统开发。采用混合式无人机集群控制结构，克服了分布式结构通信可靠性差、搜索效率低的缺点，解决了集中式结构鲁棒性及自主性弱的问题；通过数理优化算法进行信息推导，并对多无人机协同信息进行融合，提高定位精度，缩短救援时间。③ 基于多传感器融合技术的无人机监测平台设计。通过基于BP神经网络算法的多传感器信息协调及互相融合，提高无人机对井下环境的感知能力。④ 多无人机链状无线Mesh组网模式的应用。多无人机在井下环境搜索时，每架无人机采集的信息都是局部区域的信息，通过链状无线Mesh组网模式，所有无人机进行信息融合和资源互补，实时更新环境信息状况，提高侦测的可靠性和救援效率。Abstract: By analyzing research status of power system, positioning system, environmental monitoring system and communication system of mine detection unmanned aerial vehicle (UAV) at home and abroad, the problems of mine detection UAV were pointed out, such as insufficient cruising power, poor positioning accuracy, weak information perception ability and poor information data transmission performance. For the above problems, the development trends of mine detection UAV were prospected: ① Application of new energy or new power supply technology, the whole power management system is optimized in a more efficient and reasonable way to detect power consumption of electric equipment in real time, improve power efficiency and enhance endurance time of detection UAV, and meet explosion-proof performance. ② Development of UAV cluster system based on collaborative navigation search, the hybrid UAV cluster control structure overcomes the shortcomings of poor communication reliability and low search efficiency in distributed structure and solves the problems of weak robustness and autonomy in centralized structure; the system can improve the positioning accuracy and shorten the rescue time through mathematical optimization algorithm for information derivation and multi-UAV collaborative information fusion. ③ Design of UAV monitoring platform based on multi-sensor fusion technology, the multi-sensor information coordination and mutual fusion based on BP neural network algorithm can improve the UAV's perception ability to underground environment. ④ Application of multi-UAV chain wireless Mesh networking mode, when multi-UAVs search in underground environment, the information collected by each UAV is local area information， all UAVs conduct information fusion and resource complementarity to update the environmental information status in real time through the chain wireless Mesh networking mode, so as to improve reliability of detection and rescue efficiency.
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期刊类型引用(7)
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