张庆杰,郑二功,徐亮,徐伟.森林防火无人机系统设计与林火识别算法研究[J].电子测量技术,2017,40(1):145-150
森林防火无人机系统设计与林火识别算法研究
Design of the UAV system for forest fire prevention and the research of the fire recognition algorithm
  
DOI:
中文关键词:  林火监控  开源自驾仪  显著性检测  无人机
英文关键词:forest fire monitor  open source autopilot  significant detection  unmanned aerial vehicle
基金项目:吉林省科技厅青年科研基金(20130522108JH)、国家自然科学青年基金(61203355)资助项目
作者单位
张庆杰 空军航空大学长春130022 
郑二功 空军航空大学长春130022 
徐亮 空军航空大学长春130022 
徐伟 空军航空大学长春130022 
AuthorInstitution
Zhang Qingjie College of Control, Aviation University of Air Fore, Changchun 130022, China 
Zheng Ergong College of Control, Aviation University of Air Fore, Changchun 130022, China 
Xu Liang College of Control, Aviation University of Air Fore, Changchun 130022, China 
Xu Wei College of Control, Aviation University of Air Fore, Changchun 130022, China 
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中文摘要:
      为克服传统森林火灾监测手段监测范围有限、无法适用恶劣环境以及费用高昂等问题,提出了基于六旋翼无人机的林火监测系统。首先,采用开源架构,设计并研制用于控制无人机的自动驾驶仪;其次,搭建用于森林火情监控的小型六旋翼无人机。在传回的火情视频的基础上,利用视觉显著性检测方法,按照林火区候选、特征融合、特征分类、阈值判断等流程判断是否有林火发生。如果有火情出现,算法能够自动提取林火的形状、面积、蔓延速度等信息,并结合光电烟雾传感器实现火情预警。该系统具有垂直起降、对气象的要求低,且使用和维护成本低等特点。
英文摘要:
      First, the autopilot of the unmanned aerial vehicle(UAV), based on the open source architecture, is designed and developed. Secondly, the small hex copter UAV is built for the forest fire monitoring. The significant detection method is adopted to deal with the returned fire video, and the process such as the fire candidate region selection, feature fusion, feature classification, threshold judgment is employed to judge the occurrence of forest fires. If a fire occurs, the algorithm can compute the shape, area and spread speed and other information of the fire automatically, and start warning with the help of the photoelectric smoke sensor. The system has the characteristics of vertical takeoff and landing, low demand for weather, low use and maintenance costs.
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